Dr. Wedam Mohammad Alghazzawi is an Assistant Professor in the Department of Biochemistry at King Abdulaziz University, Jeddah, Saudi Arabia. With a distinguished academic journey spanning nearly two decades at KAU, she has established herself as a dedicated researcher in nanobiotechnology, electrochemical sensors, and molecular genetics. Her career progression from Teaching Assistant (2007) to Lecturer (2010) and Assistant Professor (2021) reflects sustained academic excellence and commitment to advancing biochemical sciences in Saudi Arabia.

Online Profiles Overview

Dr. Alghazzawi maintains active scholarly presence across multiple international research platforms. Her ORCID ID (0000-0003-1443-5059), Web of Science Researcher ID (AAW-3165-2020), and Scopus Author ID (57217167636) facilitate global research collaboration and visibility. maintains her academic homepage at http://walghazzwi.kau.edu.sa/.

Educational Background Summary

Dr. Alghazzawi earned her Ph.D. in Nanobiotechnology from King Abdulaziz University in June 2020 with a perfect GPA of 5/5, following her M.Sc. in Genetics (2009) and B.Sc. in Biochemistry (2004) from the same institution. Her academic achievements are distinguished by a Postgraduate Certificate in Nanotechnology from Oxford University, UK (March 2019), where she received a Distinction Award. This exceptional educational foundation combines local expertise with international training in cutting-edge nanotechnology applications.

Primary Research Focus

Dr. Alghazzawi’s research interests center on three interconnected areas: synthesis and characterization of nanomaterials, development of electrochemical sensors for biomedical applications, and molecular genetics. Her work particularly emphasizes the application of nanotechnology in healthcare diagnostics, with notable contributions to glucose detection systems and antibacterial nanostructured materials. This multidisciplinary approach bridges chemistry, materials science, and clinical applications.

Professional Experience Highlights

Since January 2021, Dr. Alghazzawi has served as Assistant Professor in the Department of Biochemistry at King Abdulaziz University. Her teaching portfolio encompasses diverse undergraduate courses including computer applications in biochemistry, physical biochemistry, biochemistry of nutrition, and medical terminology, alongside supervision of numerous laboratory courses. She also teaches postgraduate courses in computer applications in biochemistry. Beyond teaching, she has held significant administrative roles including Head of Student Activities Unit (Faculty of Science, 2022-present) and Chairperson of Information Technology in the Department of Biochemistry (2020-present), demonstrating strong leadership in academic administration.

Research Timeline Activities

Dr. Alghazzawi’s research journey has been marked by continuous professional development and scholarly engagement. Between 2011 and 2020, she secured research grants from King Abdulaziz City for Science and Technology (Master’s project, 2011) and the Deanship of Scientific Research at KAU (PhD project, 2020). Her research activities include participation in international conferences, notably the Nanomedicine and Drug Delivery conference in London (2019) where she delivered an oral presentation, and the American Geophysical Union Fall Meeting (2022). She has supervised multiple undergraduate research projects and established the Journal Club at the Biochemistry department in 2016, fostering research culture among students and faculty.

Awards Honors Achievements

Dr. Alghazzawi’s academic excellence has been recognized through multiple prestigious awards. She received the Distinction Award for her Postgraduate Certificate in Nanotechnology from Oxford University (2019). In 2018, the Biochemistry Club under her leadership won the Afaq competition for achieving the highest percentage among student clubs at KAU. Earlier in her career, she received the Creative Certificate in website design and secured fourth position nationally in the Saudi Arabia Computer Skills Competition (2007), along with the Scientific Excellence Award for her B.Sc. degree in Biochemistry (2002-2003). She also achieved first place in the 7th Health Walk Initiative at KAU (2017).

Top Noted Publication

Dr. Alghazzawi’s most impactful publication is her 2020 paper titled “Rapid microwave-assisted hydrothermal green synthesis of rGO/NiO nanocomposite for glucose detection in diabetes,” published in Synthetic Metals (Elsevier), volume 267, pages 1-10. This work received Scientific Publishing Awards from the Deanship of Scientific Research at KAU in 2020, recognizing its significant contribution to developing eco-friendly, efficient glucose detection systems for diabetes management using innovative nanomaterial synthesis techniques.

Research Publications Summary

Dr. Alghazzawi has authored three peer-reviewed journal articles and one book chapter. Her most recent publication (2025) on “Antibacterial activity of promising nanostructured cesium oxide” appeared in Discover Nano (Springer), volume 20, page 140. She contributed a chapter titled “Graphene-based Nanocomposites for Sensing” to the Royal Society of Chemistry’s 2023 book on graphene-based nanocomposite sensors. Her earlier work includes research on DNA repair gene polymorphisms and colon cancer risk in Saudi patients, published in the International Journal of Medicine and Medical Sciences (2011).

Research Impact Significance

Dr. Alghazzawi’s research demonstrates significant impact through its focus on addressing critical healthcare challenges, particularly diabetes detection and antimicrobial applications. Her pioneering work on green synthesis of nanomaterials represents an environmentally sustainable approach to developing diagnostic tools. The recognition of her glucose detection research with scientific publishing awards underscores its potential clinical relevance. Her contributions to understanding graphene-based sensors, published by the prestigious Royal Society of Chemistry, position her work at the forefront of nanomaterial applications in biosensing technology.

Innovation Intellectual Property

 Dr. Alghazzawi’s research embodies innovation through novel synthesis methodologies, particularly her microwave-assisted hydrothermal green synthesis approach for nanocomposites. Her work has participated in innovation-focused initiatives, including organizing the Faculty of Science Inventors and Innovators Competition (2024) and the entrepreneurial researcher program. She has attended multiple workshops on patents and intellectual property, including “Scientific research and patents” (2012), demonstrating awareness of the commercial potential of academic research.

Research Projects Funding

Dr. Alghazzawi has successfully secured competitive research funding from two major sources: King Abdulaziz City for Science and Technology for her Master’s thesis project (2011) and the Deanship of Scientific Research at King Abdulaziz University for her Ph.D. thesis project (2020). These grants supported her work on molecular genetics and nanobiotechnology respectively. She has also supervised undergraduate research projects, including award-winning work on caffeine analysis in beverages and its relation to diabetes, which won Best Scientific Poster in the Biochemistry department (2023).

Conference Contributions Summary

Dr. Alghazzawi has actively participated in international scientific conferences, presenting her research across multiple continents. Her contributions include an oral presentation at the Nanomedicine and Drug Delivery conference in London, UK (2019), a conference paper at the IET Conference in China (2025) on reduced graphene oxide/cesium oxide nanocomposites, and a co-authored abstract at the American Geophysical Union Fall Meeting (2022) focusing on AI-enabled solutions for biodiversity monitoring. She has also attended specialized conferences including the First and Second International Genomic Medicine conferences in Saudi Arabia (2011, 2013).

Academic Excellence Profile

Dr. Alghazzawi’s academic excellence is evidenced by her perfect 5/5 GPA in her Ph.D., the Distinction Award from Oxford University, and her comprehensive professional development through over 80 training courses, workshops, and lectures spanning molecular biology, bioinformatics, nanotechnology, artificial intelligence, and pedagogy. Her teaching versatility across 12 different laboratory courses and multiple theoretical courses, combined with her proficiency in website design, computer applications, and multilingual capabilities (fluent English alongside Arabic), demonstrates exceptional academic breadth. Her establishment of the Biochemistry Club (2014-2017, 2020-2023) and Student Activities Unit further illustrates her commitment to holistic academic development.

Societal Industry Contribution

Dr. Alghazzawi has made substantial contributions to society through extensive community service and outreach. She has served as Head of Student Activities Unit (2022-present), creating procedural guides for student activities and establishing programs like the “Science and Computer” initiative (2025) and the “Excellence Award for Distinguished Students” (2023). She trained students in the Mawhiba Academic Enrichment Summer Program for gifted students (2021) and organized health-focused initiatives including the “our community is healthy” program (2025). Her work in establishing the Biochemistry Club and organizing exhibitions, competitions, and volunteer programs demonstrates sustained commitment to science education and public engagement with biochemistry.

Global Recognition Overview

Dr. Alghazzawi’s global recognition is reflected in her international education credentials from Oxford University, her publication in internationally renowned journals (Elsevier, Springer, Royal Society of Chemistry), and her indexed profiles on major research databases (ORCID, Web of Science, Scopus). Her participation in international conferences across Europe (UK), Asia (China), and North America (USA), along with her completion of online courses from prestigious institutions including University of Toronto, Chalmers University of Technology, and University of Tokyo, demonstrates her integration into the global scientific community. Her research on green synthesis methodologies and graphene-based sensors addresses universal healthcare challenges, contributing to international scientific discourse on sustainable nanotechnology applications.

Early Life and Education

Dr. Ganesh Dutta was born and raised in West Bengal, India, where his early education laid the foundation for a lifelong commitment to mathematics and statistics. He completed his Matriculation (1995) and Higher Secondary (Pure Science) (1997) from Malda Zilla School, securing a strong grounding in analytical and quantitative thinking. His academic journey advanced through Ramakrishna Mission Residential College, Narendrapur, affiliated with the University of Calcutta, where he earned his B.Sc. (Hons.) in Statistics (2000). He continued at the University of Calcutta, completing his M.Sc. in Statistics (2002) and subsequently his Ph.D. in Statistics (2009) with a thesis titled “Optimum Designs for Covariate Models.”

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Academic Background

Dr. Dutta currently serves as an Assistant Professor (Stage II) in the Department of Statistics, Basanti Devi College, under the University of Calcutta, a position he has held since March 2007.
He is also a Visiting Faculty at multiple prestigious institutions:

• University of Kalyani (PG Department of Statistics) – Since 2016

• School of Mathematical & Computational Sciences, IACS – Since 2024

• St. Xavier’s University, Kolkata (Even Semester 2024)
  He also served as Visiting Scientist at the Indian Statistical Institute (ISI) North-East Centre, Tezpur (2011–2013).

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Research Focus and Interests

Dr. Dutta’s research spans the intersection of Design of Experiments, Statistical Inference, and Combinatorics, with specific focus areas including:

• Optimum and robust design theory

• Covariate-adjusted and neighbor designs

• Clinical trial methodology and data analytics

• Statistical modeling and optimization techniques

His scholarly contributions emphasize both theoretical advancement and applied problem-solving across experimental and agricultural statistics.

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Teaching and Mentorship

An inspiring educator, Dr. Dutta has taught a wide range of undergraduate and postgraduate courses such as:

• ANOVA, Design of Experiments, Sample Surveys, and Multivariate Analysis

• Linear Algebra, Probability Theory, and Statistical Inference

• Advanced Data Analytics Techniques and Statistics with R

He has guided seven postgraduate projects and is currently co-supervising a Ph.D. scholar at the Bidhan Chandra Krishi Viswavidyalaya (BCKV). His commitment to mentoring has shaped the academic careers of numerous young statisticians.

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Major Contributions and Innovations

Dr. Dutta is internationally recognized for his contributions to optimal design theory and robust statistical models. His works have significantly influenced the theory of covariate-adjusted designs, balanced incomplete block designs (BIBD), and neighbor effect models.
He has co-authored a seminal book titled:

• “Optimal Covariates Designs and Their Applications” (Springer, 2015), which provides comprehensive coverage of theoretical advances and applied aspects of experimental design.

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Publications and Research Papers

Dr. Dutta has authored over 35 research papers in peer-reviewed international journals such as Communications in Statistics, Journal of Statistical Planning and Inference, Statistics & Probability Letters, Journal of Applied Statistics, and Chemosphere.
Selected recent publications include:

1. Optimal design strategies for lack-of-fit tests in multifactor regression models, JISPS (2025)

2. Non-existence of optimal covariate matrices for BIBD with neighbor effects, Communications in Statistics—Theory and Methods (2025)

3. Optimal covariate allocation in asymmetrical factorial designs, IJSS (2024)

4. Survey of C.R. Rao’s orthogonal arrays, Statistics and Applications (2024)

5. Optimality vs. robustness in mixture models, Communications in Statistics—Simulation & Computation (2023)

6. Designs robust against outliers in covariance models, Communications in Statistics (2021)

7. Trusted and efficient treatment-control designs, Journal of Statistical Theory and Practice (2021)

His research has advanced the statistical design literature with novel mathematical formulations, optimality criteria, and robustness measures.

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Grants, Projects, and Collaborations

Dr. Dutta has engaged in multiple collaborative research projects, particularly with the Indian Statistical Institute (ISI) through the Bayesian and Interdisciplinary Research Unit (BIRU).

• 2012–2013: Collaborative projects on combinatorial approaches to optimal design supported by ISI North-East Centre and ISI Kolkata.
  He has also received travel and research support for invited research visits to ISI and collaborative seminars with leading statisticians such as Prof. G. M. Saha and Prof. Rita Saharay.

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Awards and Recognitions

• Best Paper Award, ICSA 2016 (Singapore) – for work on Blocked Main Effects Plans (with R. Saha Ray)

• Guest Editor, International Journal of Statistical Sciences (IJSS), Vol. 24

• Reviewer for numerous international journals, including:

  • Statistical Papers, Sankhyā A & B, Communications in Statistics, Journal of Applied Statistics

• MathSciNet Reviewer (ID 119400)

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Professional Affiliations and Memberships

• Life Member, Calcutta Statistical Association

• Life Member, Society of Statistics, Computer and Applications

• Reviewer and Referee for over ten indexed international journals

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Community Engagement and Outreach

Dr. Dutta has contributed significantly to the academic community through:

• Invited talks and workshops at IIT Tirupati (2025), University of Calcutta, Ranchi University, and University of Kalyani

• Resource person for data handling and survey design training at ISI North-East Centre, Tezpur (2012)

• Regular involvement in academic development programmes such as UGC-sponsored refresher and orientation courses, where he consistently earned Grade A+

Early Life and Education

Born on January 26, 1989, Dr. Bappa Mukherjee hails from West Bengal, India. His early academic journey was marked by a strong interest in physics and earth sciences. He completed his B.Sc. in Physics (Honors) from the University of Burdwan in 2009, laying the foundation for his later specialization in geophysics.

He earned his M.Sc. (Tech.) in Applied Geophysics from the Indian School of Mines (ISM), Dhanbad in 2013 with First Class distinction (78.8%). His master’s dissertation focused on the Tectonic evolution of the east coast of India by marine gravity data.

Dr. Mukherjee went on to complete his Ph.D. in Applied Geophysics at IIT (ISM), Dhanbad in 2017. His doctoral thesis, “Integrated Approach to Study the Heterogeneity of Hydrocarbon Reservoir in Assam-Arakan Basin of North-East India,” provided groundbreaking insights into reservoir characterization using geophysical signal processing and fractal analysis techniques.

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Academic Background

• Ph.D. (Applied Geophysics) – IIT (ISM) Dhanbad, 2017

• M.Sc. (Tech.) in Applied Geophysics – Indian School of Mines, Dhanbad, 2013

• B.Sc. (Physics Hons.) – University of Burdwan, 2009

Notable Academic Achievements

• Ranked 7th nationwide in the ISM Dhanbad M.Sc. entrance examination (2010).

• Awarded multiple national and international fellowships, including the SERB National Postdoctoral Fellowship (2017) and SPGNA Travel Grant (2018).

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Research Focus and Interests

Dr. Mukherjee’s interdisciplinary expertise bridges Geophysics, Artificial Intelligence, and Machine Learning. His core research areas include:

• Seismic signal processing and geophysical inversion

• AI/ML-based subsurface modeling and reservoir characterization

• Fractal and multifractal analysis in petrophysics

• Gas hydrate identification and quantification

• Well log analysis and missing log prediction

• Earthquake detection and prediction modeling

He actively applies advanced deep learning frameworks, including convolutional and transformer architectures, to geoscientific data interpretation.

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Teaching and Mentorship

• Ph.D. Co-Supervisor, IIT Roorkee and IIT Kharagpur

• Mentored multiple postgraduate students and early-career researchers in geophysical modeling and data analytics.

• Delivered expert lectures and short courses in AI-ML applications for geosciences at national conferences and academic workshops.

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Major Contributions and Innovations

• Pioneered AI-driven geological interpretation: Integrated deep learning methods for seismic fault prediction and lithological boundary detection.

• Developed novel AI-assisted borehole tools: Designed Borehole Acoustic Televiewer and AI-Televiewer Probe (Registered with UK IPO, 2023).

• Advanced fractal and multifractal characterization techniques for reservoir modeling and gas hydrate mapping.

• Introduced transformer-based frameworks for seismic phase detection and well log prediction.

• Contributed to state-of-the-art machine learning workflows for ONGC and SERB projects in seismic interpretation and reservoir analysis.

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Publications and Research Papers

Dr. Mukherjee has published extensively in SCI/Scopus-indexed international journals, authoring over 30 peer-reviewed research papers.
Selected works include:

• Shaw, R.L., Mukherjee, B., Sharma, M.L., Kar, S. (2025). Towards location reliant early earthquake detection: deep learning algorithms and clustered seismic indicators. Journal of Earthquake Engineering.

• Mukherjee, B., Kar, S., Sain, K. (2025). 3D U-Net assisted fault probability prediction. Physics and Chemistry of the Earth, 141, 104069.

• Mukherjee, B., Shaw, R.L., Sharma, M.L., Sain, K. (2025). Earthquake prediction using ML perspectives in Himalayan seismic belt. Journal of Asian Earth Sciences, 293, 106764.

• Mukherjee, B., Sain, K., Kar, S. (2024). Machine learning-assisted petrographic classification from geophysical logs. Pure and Applied Geophysics, 181, 2839–2871.

• Banerjee, A., Mukherjee, B., Sain, K. (2024). ML-based model for Bokaro coal field. Acta Geodaetica et Geophysica, 59, 463–490.

• Liu, H., Mukherjee, B., et al. (2023). Fractal dimension as a proxy for gold deposit distribution. Ore Geology Reviews, 158, 105534.

• Mukherjee, B., Sain, K. (2019). Prediction of reservoir parameters in gas hydrate sediments using AI. Journal of Earth System Science, 128, 199.

(For complete list: See Google Scholar profile linked above.)

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Grants, Projects, and Collaborations

Sponsored Projects:

• Delineation of subsurface geological features and prediction of missing logs using ML.

  • Funding Agency: Science and Engineering Research Board (SERB), Govt. of India

  • Duration: May 2024 – May 2027

  • Role: Principal Investigator

  • Grant Amount: ₹28,01,720 (Ongoing)

Collaborative Projects:

• Flow rate computation via ML learning in Cambay Basin (PI, ongoing)

• TOC assessment in KG Basin (PI, completed)

• Subsurface tectonic anatomy of Upper Assam Basin (Co-PI, completed)

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Awards and Recognitions

• Excellence in Academic Research, Wadia Institute of Himalayan Geology (2024)

• SPGNA Travel Grant, Society of Petroleum Geophysicists, North America (2018)

• International Travel Support, Science and Engineering Research Board (2018)

• SERB National Postdoctoral Fellowship, Govt. of India (2017)

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Professional Affiliations and Memberships

• Editorial Board Member, Discover Geoscience Journal

• Guest Editor, Journal of Earth System Science (Special Issue on AI/ML in Earth Sciences)

• Editorial Member, American Journal of Computer Science and Technology

• Professional Memberships:

  • Society of Petroleum Geophysicists (SPG)

  • Indian Geophysical Union (IGU)

  • American Geophysical Union (AGU)

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Community Engagement and Outreach

• Invited Speaker, GeoIndia 2022 and UrjaVarta 2024 – Lectures on AI in Hydrocarbon Exploration

• Workshop Leader, Applications of AI-ML in Geosciences (WIHG, 2022)

• Outreach Contributor, Indian Academy of Sciences Workshop on AI & Earth System Science (BHU, 2023)

• Regularly delivers public and institutional lectures on AI-driven geoscience innovation and energy resource sustainability.

Early Life and Education

Dr. K. Ramkumar, born and raised in Chennai, India, has devoted over two decades to the advancement of computer science and engineering education. He began his academic journey with a Bachelor of Science in Physics from the University of Madras in 1996, followed by a Master of Computer Applications from the same university in 2000. He pursued an M.Phil. in Computer Science from Alagappa University in 2005 and an M.E. in Computer Science and Engineering from Anna University in 2006. His strong interest in data protection and computational security led him to complete a Ph.D. in Computer Science and Engineering at Manonmaniam Sundaranar University in 2018, where his doctoral research focused on “Ensuring Data Security and Privacy in Cloud Computing.”
In 2023, he broadened his global academic footprint by completing a Post-Doctoral Fellowship at the Federal University of Ceará, Fortaleza, Brazil, specializing in Artificial Intelligence and Biomedical Data Analytics.

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Academic and Professional Experience

Dr. Ramkumar’s career spans more than 24 years of teaching, research, and industry engagement. He has served in diverse academic and administrative roles including Professor, Head of Department, Associate Dean, and Director in reputed engineering institutions across India. He is currently Professor of Computer Science and Engineering at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology in Chennai. Previously, he served as Professor and Head of the Department of CSE at Rajalakshmi Institute of Technology and as Professor at SRM Institute of Science and Technology, Vadapalani Campus. He has also held key leadership positions such as Associate Dean and Chairman of the Board of Studies at SRM University Delhi-NCR (Sonepat).
Before returning to academia, Dr. Ramkumar worked in the software industry with organizations like Logica CMG (now CGI) and Satyam Computer Services (now Tech Mahindra), where he led global teams on enterprise solutions and project management. This unique blend of industrial and academic experience has shaped his approach to education and research, bridging the gap between technological innovation and practical implementation.

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Research Focus and Interests

Dr. Ramkumar’s research spans a broad spectrum of emerging technologies including Artificial Intelligence and Machine Learning, Biomedical Data Analytics, Cloud Computing Security and Privacy, Internet of Things and Wireless Sensor Networks, Blockchain, and Computational Intelligence. His work emphasizes secure data management and AI-driven healthcare applications. He has supervised and mentored numerous Ph.D. and Post-Doctoral researchers in India and abroad, including 15 Post-Doctoral fellows at the Singapore Institute of Technology.

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Major Research Contributions and Patents

A recognized innovator, Dr. Ramkumar holds more than a dozen published and granted patents in artificial intelligence, IoT, and biomedical engineering. His patented developments include an AI-based skin cancer inspection device, a smart walking stick for the visually impaired, a deep learning-enabled COVID-19 diagnostic kit, and IoT systems for structural damage detection and health monitoring. These innovations reflect his commitment to technological advancement that benefits human well-being.

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Publications and Research Papers

Dr. Ramkumar has authored and co-authored over 40 peer-reviewed papers in reputed SCI, Scopus, and Web of Science journals and international conferences. His publications cover AI optimization, machine learning applications in biomedicine, network security, and IoT frameworks. Recent representative works include:

 

Throughput and Load Balancing Optimization in Heterogeneous Networks using Red-Tailed Hawk Algorithm
R. Chandra, K. Ramkumar, Dr. Tan Kuan Tak, Scientific Reports, October 2025, 15:35261.
DOI: https://doi.org/10.1038/s41598-025-14389-y

Qryptographix: Quantum Image Encryption via Random Gates
K. Ramkumar, Indumathi P., Somasundari M.L., Srinivasan
Taylor & Francis Book Series, October 2025.
DOI: 10.1201/9781003531043-11

Credit Card Fraud Detection and Prevention Using a Formula-Based HMM Model Authentication System for Secure Transaction
Madhav Nishok, Kathireven K., K. Ramkumar
Springer Book Series, December 2024.
DOI: 10.1007/978-981-97-4892-1_25

Enhanced AI-Based Diabetic Risk Prediction Using Feature Scaled Ensemble Learning Technique Based on Cloud Computing
R. Manivannan, K. Ramkumar, K. Krishnamurthy
Journal of Cloud Computing, Vol. 5, Issue 8, December 2024, Article 1123.

An Intelligent System to Predict Diabetic Retinal Diseases Based on Diabetic Attributes
Eswari M.S., Balamurali S., Ramkumar K.
Journal of Intelligent Systems, Vol. 5, Issue 6, August 2024, Article 755.

The Development of HP-Based ML Model for Reliable Computational Intelligence System
Vahidhabanu Y., Ramkumar K., Bhatt C., Srinivasan M.L., Sasirekha S.P., Saravanakumar S.
International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2024), pp. 733–738.

Multi-Dimensional Recurrent Neural Networks Hyperspectral Image Classification
Ramkumar K., Al-Jawahry H.M., Shilpa N., Shalini G., Arun M.
IEEE International Conference on Data Science and Network Security (ICDSNS 2024).

A Novel Deep Learning Framework Based Swin Transformer for Dermal Cancer Cell Classification
Ramkumar K., Medeiros E.P., Dong A., de Albuquerque V.H.C., Hassan M.R., Hassan M.M.
Journal of Biomedical Informatics, Vol. 133, July 2024, Article 108097.

Diagnosing Heart Diseases Through Recurrent Neural Network in Association with Artificial Fish Swarm Optimization
Krishnamurthy R., Amanullah M., Ramkumar K.
Journal of Medical Systems, Vol. 12, Issue 16s, February 2024, pp. 646–654.

Enhancing Human Activity Recognition for the Elderly and Individuals with Disabilities through Optimized IoT and AI Integration with Advanced Neural Networks
Deeptha R., Ramkumar K., Venkateswaran S., Hassan M.M.
Frontiers in Neuroinformatics, Vol. 18, 2024, Article 1454583.

A Comparative Analysis of Methods of End Member Selection for Use in Sub-Pixel Classification: A Convex Hull Approach
K. Ramkumar, Vidhya Lakshmi K., Vidhya K.
Computational Intelligence and Neuroscience, Vol. 2022, Article ID 3770871, 9 pages.
DOI: https://doi.org/10.1155/2022/3770871

Efficient Routing Mechanism for Neighbour Selection using Fuzzy Logic in Wireless Sensor Network
K. Ramkumar, N. Ananthi, Puneet Goswami, M. Baskar
Computers and Electrical Engineering, Elsevier, Vol. 94, September 2021.
DOI: https://doi.org/10.1016/j.compeleceng.2021.107365

A Study on Bottom-Up Layers for Secure Communication in Underwater Sensor Networks
S.A. Kalaiselvan, R. Raja, K. Ramkumar, Teena Joseph
Parishodh Journal, Vol. IX, Issue III, March 2020, ISSN 2347-6648.

An Efficient New Way of Communication in Underwater Sensor Networks
S.A. Kalaiselvan, P. Santhosh Kumar Patra, K. Ramkumar, Teena Joseph
International Journal of Advanced Science and Technology, Vol. 29, No. 9s, 2020, pp. 3097–3101.

Up-and-Coming Li-Fi Technology under Visible Light Communication to Transfer Data among Multiple Users in Train
B. Anitha Vijayalakshmi, K. Ramkumar, A. Aruna
International Journal of Pure and Applied Mathematics, Vol. 119, No. 16, 2018, pp. 1587–1598.

Design of QoS Architecture for Global Cloud Computing Services by Adaptive Scheduling Algorithms
K. Ramkumar, G. Gunasekaran
International Journal of Computer Applications, Vol. 92, No. 8, April 2014, pp. 36–41.

Trusted Authentication and Security of Medical Data in Cloud Computing
K. Ramkumar, G. Gunasekaran
International Journal of Pharma and Bio Sciences, Vol. 6(2), April 2015, pp. 494–502.

QoS-Based Scheduling of Workflows in Cloud Computing UPNP Architecture
K. Ramkumar, G. Gunasekaran
International Journal of Advances in Engineering Research, Vol. 8, Issue 4, 2014, pp. 1–11.

Preserving Security using Crisscross AES and FCFS Scheduling in Cloud Computing
K. Ramkumar, G. Gunasekaran
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 12, Issue 1/2, 2019.

Maintainability Configuration for Component-Based Systems Using Fuzzy Approach
Kiran Narang, Puneet Goswami, K. Ramkumar
In: Computational Methods and Data Engineering, Advances in Intelligent Systems and Computing, Vol. 1227, Springer, Singapore, 2020, pp. 243–258.
DOI: https://doi.org/10.1007/978-981-15-6876-3_18

His scholarly output demonstrates both depth and diversity, integrating AI with real-world applications in healthcare and security.

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Awards and Achievements

Dr. Ramkumar has been honored with the Excellence in Academic Leadership Award (2025) for his outstanding contribution to engineering education and research. He is a certified Lean Six Sigma Green Belt and Black Belt Professional, demonstrating his expertise in process improvement and strategic management.

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Professional Memberships

He is an active member of several prestigious professional societies including the Indian Society for Technical Education (ISTE) (LM126069), the International Association of Engineers (IAENG) (297813), the Association for Computing Machinery (ACM) (8670228), the Institution of Engineering and Technology (IET, UK) (1101053844), and the Institute of Electrical and Electronics Engineers (IEEE) (94965039).

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Leadership and Administrative Roles

Beyond his research accomplishments, Dr. Ramkumar has made significant administrative contributions as Associate Dean and Dean in-Charge of Engineering and Technology at SRM University Delhi-NCR, Chairman of the Board of Studies, and Head of the Department of Computer Science and Engineering at multiple institutions. He has consistently advocated for interdisciplinary curricula and industry-academic collaboration to enhance student learning outcomes.

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Summary

Dr. K. Ramkumar is a visionary educator, researcher, and academic leader whose work continues to bridge the gap between cutting-edge technology and societal needs. His expertise in artificial intelligence, biomedical data analytics, and secure cloud infrastructure positions him as a key contributor to the future of intelligent systems research. Through his innovations, publications, and mentorship, he remains deeply committed to advancing knowledge and inspiring the next generation of technologists and scientists.

Early Life and Education

Dr. Aishwarya Shetty, born on 12 September 1997, hails from Vijayapur, Karnataka, India. Her deep interest in biological sciences began during her undergraduate studies, which laid a strong foundation for her academic and research pursuits in Zoology. She completed her B.Sc. in Chemistry, Botany, and Zoology (CBZ) from Rani Channamma University, Belagavi in 2018 with an impressive 85.86%. She went on to complete her M.Sc. in Zoology from Karnatak University, Dharwad in 2020, securing 77.13%, and subsequently cleared the Karnataka State Eligibility Test (K-SET) in January 2021.

Currently, she is pursuing her Ph.D. in Zoology at Karnatak University, Dharwad (2021–2025) under the supervision of Professor Pulikeshi M. Biradar, with a course work aggregate of 84.5%.

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Academic Background

• Ph.D. in Zoology, Karnatak University, Dharwad (2021–2025)
  Thesis Title: Studies on Biology and Biomolecular aspects of the epigeic earthworm, Eisenia fetida (Savigny, 1826)

• M.Sc. in Zoology, Karnatak University, Dharwad (2018–2020)
  Master’s Project: Estimation of biomolecules and minerals from different epigeic earthworms

• B.Sc. (CBZ), Rani Channamma University, Belagavi (2015–2018)

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Ph.D. Thesis Summary

Dr. Shetty’s doctoral research focuses on the biology and biomolecular aspects of the epigeic earthworm Eisenia fetida. Her work explores the life cycle of this species in various organic wastes and evaluates the biomolecular composition of the resulting biomass. The study involves protein, amino acid, and metabolite profiling, alongside screening for biological activities such as anti-diabetic and wound healing properties. Her research holds promising implications for drug discovery and sustainable biotechnological applications, emphasizing the medicinal potential of earthworm-derived biomolecules.

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Research Focus and Interests

• Biomolecular and Phytochemical Analysis

• Nanoparticle and Membrane Synthesis

• Microbial and Animal Cell Culture Techniques

• Bioinformatics and Molecular Docking

• Network Pharmacology

• Environmental Biology and Sustainable Waste Utilization

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Technical and Computational Skills

Research Tools: SDS-PAGE, GC-MS, FTIR, XRD
Bioinformatics Platforms: PubChem, NCBI, BLAST, Gene Bank, PDB, UniProt, SwissADME, STRING, KEGG
Data Analysis: SPSS (ANOVA), Microsoft Excel, ChemDraw, PyMOL
Scientific Writing & Design: Research Design, Dissertation Guidance, Academic Manuscript Preparation

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Training and Certifications

• Basic Microbiology and Techniques, Cytxon Biosolutions Pvt. Ltd., Hubballi

• Nanotechnology – Hands-on Training, Cytxon Biosolutions Pvt. Ltd., Hubballi

• Animal Cell Culture Techniques, Cytxon Biosolutions Pvt. Ltd., Hubballi

• Basic and Applied Bioinformatics, Cytxon Biosolutions Pvt. Ltd., Hubballi

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Publications

1. Soumya, P., Aishwarya, S., & Pulikeshi, M. B. (2022). Evaluation of anti-fungal activity in different epigeic earthworm species. International Journal of Scientific Research, 11(10): 52–54. (Impact Factor: 5.7)

2. Meerasabh, N., Soumya, P., Aishwarya, S., & Pulikeshi, M. B. (2022). Diversity and distribution of useful and harmful insects in the Karnataka University campus, Dharwad. International Journal of Scientific Research, 11(11): 65–67. (Impact Factor: 5.7)

3. Aishwarya, S., & Pulikeshi, M. B. (2023). Biology of the epigeic earthworm, Eisenia fetida in different organic wastes. Journal of Environmental Biology, 44:736–743. (SCOPUS & WOS Indexed, IF: 0.9)

4. Aishwarya, S., & Pulikeshi, M. B. (2024). Preliminary screening of the bioactive compounds in the epigeic earthworm cultured in cattle manure. International Journal of Innovative Research in Technology, 10(11):705–709. (IF: 5.7)

5. Aishwarya, S., & Pulikeshi, M. B. (2024). Analysis of different bioactive compounds in the tissue of Eisenia fetida. The Journal of Basic and Applied Zoology, 85:28. (SPRINGER, IF: 1.1)

6. Aishwarya, S., & Pulikeshi, M. B. (2024). Studies on in vitro anti-diabetic activities of the epigeic earthworm extract. Asian Journal of Biological and Life Sciences, 13(2):316–321. (WOS Indexed, IF: 0.310)

7. Aishwarya, S., & Pulikeshi, M. B. (2025). Evaluation of wound healing activity of the epigeic earthworm extract. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. (SPRINGER, IF: 0.96)

8. Aishwarya, S., Amino acid profiling of the epigeic earthworm, Eisenia fetida. Bulletin of Environment, Pharmacology and Life Sciences (Accepted, WOS Indexed, IF: 0.471)

9. Aishwarya, S., Assessment of protein profiling of Eisenia fetida. Bulletin of National Research Centre (Communicated)

10. Aishwarya, S., Analysis of biomolecular composition of the biomass of Eisenia fetida produced out of different organic waste. Animals and Zoonoses (Communicated)

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Conferences and Workshops

• Enhancing Article Writing Skills and Academic Footprints, Karnatak University, Dharwad

• Frontiers in Biological Research 2022, K.L.E.’s P.C. Jabin Science College, Hubballi — Poster on “Anti-inflammatory activity in epigeic earthworms”

• Environment, Health and Sustainable Development, University of Mysore — Poster on “Biology of the epigeic earthworm in different organic wastes”

• SPSS Software for Statistical Data Analysis, ACT Academy, Tamil Nadu

• Application of Open Source Energy Models, IIT Dharwad

• ILSSD-2025, University of Lucknow — Oral Presentation on “In-vitro wound healing activity of Eisenia fetida extract”

• Sustainable Use of Biodiversity Resources, Gulbarga University, Kalaburagi — Oral Presentation on “Influence of different organic waste on growth and reproduction of Eisenia fetida”

• Indian Zoological Conference 2025, Bangalore University — Oral Presentation on “In-vitro anti-diabetic activities of Eisenia fetida extract”

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Awards and Recognitions

• Cleared Karnataka State Eligibility Test (K-SET), 2021

• Published multiple Scopus, Springer, and Web of Science-indexed papers during early Ph.D. candidature

• Assisted 09 M.Sc. students in dissertation design, research methodology, and writing

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Professional Affiliations

• Member, Indian Zoological Society

• Active participant in national biological research networks and conference programs

Early Life and Education

Dr. Urosa Latief is an Indian physicist with a strong academic and research foundation in the field of experimental condensed matter physics and nanomaterials. Her early education in Jammu and Kashmir laid the groundwork for a lifelong dedication to scientific research and innovation.
She completed her Bachelor of Science in Physics, Mathematics, and Chemistry from the University of Jammu (2012–2015), graduating in First Class with Distinction. Her curiosity about the structural and optical behavior of functional materials inspired her to pursue a Master of Science (M.Sc.) in Physics at Shri Mata Vaishno Devi University (SMVDU), Katra, where she achieved 85.2% marks and received multiple academic awards and honors, including the Certificate of Distinction, a Silver Medal, and cash prizes for academic excellence.
Continuing her academic journey, she earned her Doctor of Philosophy (Ph.D.) in Physics from Jamia Millia Islamia (JMI), New Delhi, under the supervision of Prof. Mohd. Shahid Khan. Her Ph.D. thesis, titled “Study of Luminescent and Functionalized Quantum Dots for Photonic Applications,” explored the synthesis and optical properties of quantum dots for use in photonics, sensing, and solid-state lighting. She submitted her thesis in June 2023, successfully defended it in October 2023, and was formally awarded the degree in November 2023.

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Academic Background

• Ph.D. in Physics (2019–2023)
  Jamia Millia Islamia, New Delhi, India
  Thesis: Study of Luminescent and Functionalized Quantum Dots for Photonic Applications
  Advisor: Prof. Mohd. Shahid Khan

• M.Sc. in Physics (2015–2017)
  Shri Mata Vaishno Devi University (SMVDU), Katra, Jammu
  Thesis: Structural and Optical Properties of CaZnO₂ Doped with Tb³⁺ Nanophosphor
  Advisor: Prof. Vinay Dhiman

• B.Sc. in Physics, Mathematics, and Chemistry (2012–2015)
  University of Jammu, Jammu & Kashmir
  Graduated with First Class and Distinction

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Research Focus and Interests

Dr. Urosa Latief’s research interests encompass experimental condensed matter physics, nanomaterials, and energy harvesting systems. Her work integrates the design, synthesis, and application of nanostructured materials for sustainable technologies.
Her main areas of expertise include:

• Solid-State Lighting (SSL): Developing eco-friendly and energy-efficient luminescent materials as alternatives to rare-earth-based phosphors.

• Nanomaterial-Based Sensing: Creating smart nanomaterials as probes for detecting heavy metal ions and environmental pollutants.

• Piezoelectric Nanogenerators (PNGs): Designing PVDF-based nanocomposites for harvesting mechanical energy from human motion.

• Photonic and Optoelectronic Devices: Engineering multifunctional materials for self-powered and energy-efficient applications.

Her current research at IIT Delhi focuses on optimizing the piezoelectric performance of PVDF-based nanogenerators by using hybrid fillers such as Barium Titanate and Carbon Nanotubes to enhance energy output and durability.

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Teaching and Mentorship

Dr. Latief has contributed to teaching and mentoring activities during her time at Jamia Millia Islamia, IIT Bombay, and IIT Delhi.
She has supervised and guided postgraduate and undergraduate students in:

• Materials synthesis and characterization techniques

• Optical spectroscopy and photoluminescence analysis

• Fabrication of flexible piezoelectric nanogenerators
  She continues to collaborate with research groups, encouraging young scientists to pursue innovation in physics and materials science.

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Major Contributions and Innovations

1. Development of Eco-Friendly Quantum Dots: Synthesized non-toxic, rare-earth-free luminescent materials for optical sensing and photonic applications.

2. Hybrid Nanocomposites for Energy Harvesting: Designed multifunctional piezoelectric composites incorporating Barium Titanate and MWCNTs, leading to improved energy conversion efficiency.

3. Advanced Optical Sensors: Developed carbon quantum dots with multi-color emission for dual-mode sensing of metal ions.

4. Green Synthesis Techniques: Pioneered sustainable methods for producing functionalized nanomaterials without hazardous solvents or heavy metals.

5. Multifunctional Lead-Free Perovskites: Contributed to the development of perovskite-based materials for biomechanical energy harvesting and piezo-optoelectronic systems.

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Publications and Research Papers

Dr. Urosa Latief has an impressive record of peer-reviewed publications in leading international journals such as ACS Applied Nano Materials, ACS Applied Materials & Interfaces, Journal of Alloys and Compounds, Spectrochimica Acta Part A, and Journal of Photochemistry and Photobiology A.
Her works are widely cited and contribute significantly to advancements in nanomaterials, photonics, and sustainable energy devices.

Full Publication Links:

• ResearchGate: https://www.researchgate.net/profile/Urosa-Latief

• Google Scholar: https://scholar.google.com/citations?user=02qjWVkAAAAJ&hl=en

Selected Publications:

1. Urosa Latief et al., Hybrid Fillers of Barium Titanate and Functionalized Multi-walled Carbon Nanotubes Incorporated Poly(vinylidene fluoride) Nanocomposites for Piezoelectric Nanogenerators, ACS Applied Nano Materials 8(9) (2025) 4784–4800.

2. Suvankar Mondal, Urosa Latief et al., Multifunctional Lead-free Halide Perovskite Based PVDF Composites for Biomechanical Energy Harvesting and Self-Powered Piezo-Optoelectronic Applications, ACS Applied Materials & Interfaces 17(12) (2025) 18813–18830.

3. Urosa Latief, Mohd. Shahid Khan et al., Environment Friendly Co/Ag@ZnS Quantum Dots with High Quality Emission and Application for Selective Sensing of Hg²⁺, Journal of Photochemistry and Photobiology A: Chemistry, 445 (2023) 115038.

4. Urosa Latief, Shafi Ul Islam, Mohd. Shahid Khan, Rare-earth Free Solid-State Fluorescent Carbon Quantum Dots: Multi-color Emission and its Application as Optical Dual-Mode Sensor, Journal of Alloys and Compounds, 941 (2023) 168985.

5. Urosa Latief et al., Luminescent Manganese/Europium Doped ZnS Quantum Dots: Tunable Emission and their Application as Fluorescent Sensors, Journal of Alloys and Compounds, 910 (2022) 164889.

6. Urosa Latief et al., A Facile Green Synthesis of Functionalized Carbon Quantum Dots as Fluorescent Probes for Highly Selective and Sensitive Detection of Fe³⁺ Ions, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 262(15) (2021) 120132.

7. Md Amanullah Saifee, Urosa Latief et al., Tri-chalcogenides (Sb₂S₃/Bi₂S₃) Solar Cells with Double Electron Transport Layers: Design and Simulation, Discover Energy, 4 (2024).

8. Book Chapter: Strategy to Synthesize Tunable Emissive ZnS QDs Enabled by Cobalt Doping, in Recent Advances in Nanomaterials, Springer Proceedings in Materials, 27 (2023), pp. 209–214.

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Grants, Projects, and Collaborations

• SERB National Postdoctoral Fellowship (N-PDF), Department of Science and Technology, India (2024–2026).

• Collaborative projects with Prof. Arup Ranjan Bhattacharyya (IIT Bombay) on piezoelectric nanocomposites and Prof. Jitendra Pratap Singh (IIT Delhi) on photonic device applications.

• Participation in interdisciplinary projects combining physics, nanotechnology, and materials engineering to develop sustainable energy solutions.

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Awards and Recognitions

• SERB National Postdoctoral Fellowship (N-PDF), 2024–2026.

• Certificate of Distinction, SMVDU (2017).

• Silver Medal for Academic Excellence, SMVDU (2017).

• UGC Merit Certificate and Cash Award, SMVDU (2016).

• Qualified GATE (Physics), with 90.68 percentile (2019).

• Best Poster Presentation Award, International Conference on Recent Advances in Functional Materials (RAFM-2022), University of Delhi.

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Professional Affiliations and Memberships

• Member, Indian Physical Society (IPS).

• Active Research Contributor, ACS Publications Network.

• Participant in Springer Materials Community and other academic collaborations.

• Regular presenter at international conferences and workshops on Nanotechnology, Photonics, and Functional Materials.

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Community Engagement and Outreach

Dr. Latief is actively involved in scientific outreach programs promoting STEM education and women’s participation in research. She has presented her work at numerous national and international conferences, including events hosted by IIT Hyderabad, University of Kashmir, and ARSD College (University of Delhi).
She has also contributed to several online and offline training programs on solid-state physics, nanomaterial synthesis, and energy applications, fostering collaboration and innovation among early-career researchers.

Ms. Vincelet Jobikha Arul Swamy , Saveetha Engineering College ,affiliated to Anna University

Early Life and Education

Ms. Vincelet Jobikha Arul Swamy hails from Kanniyakumari, Tamil Nadu, India. She completed her school education at Amala Matriculation Higher Secondary School, where she successfully passed both SSLC and HSC examinations. Her keen interest in Physics from a young age motivated her to pursue higher education in this field.

She earned her Bachelor of Science (B.Sc.) in Physics from Infant Jesus College of Arts and Science for Women, graduating with First Class with Distinction. She continued her academic excellence by completing her Master of Science (M.Sc.) in Physics at Muslim Arts College, Kanniyakumari, also with First Class with Distinction.

Her strong academic foundation laid the groundwork for her current pursuit of a Doctor of Philosophy (Ph.D.) in Physics at Saveetha Engineering College, affiliated with Anna University, Chennai.

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Academic Background

Currently, Ms. Swamy is a Ph.D. Scholar in Physics (July 2023 – August 2026) at Saveetha Engineering College, Anna University. Her doctoral research, titled “Investigation on Rare Earth Doped Tellurite Glasses for Radiation Shielding Applications”, focuses on the synthesis and characterization of glass and glass ceramics with enhanced radiation protection properties.

Her academic journey is characterized by consistent excellence, interdisciplinary exposure, and a commitment to scientific advancement through experimental research, innovation, and publication.

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Research Focus and Interests

Ms. Swamy’s primary research interests include:

• Nanomaterials for Energy Production

• Glass and Glass Ceramics for Radiation Shielding

• Rare Earth Doped Glass Systems

• Optical and Structural Characterization (XRD, FTIR, UV-Vis-NIR, PL)

• Gamma-Ray Shielding Analysis (MAC, LAC, Zeff, HVL)

• Sustainable Materials for Energy and Environmental Applications

Her research aims to develop advanced materials capable of dual applications—energy generation and radiation protection—addressing modern-day environmental and energy challenges.

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Teaching and Mentorship

In addition to her research pursuits, Ms. Swamy actively contributes to the academic environment through mentorship of undergraduate students, assisting them in laboratory experiments and mini-projects. She also engages in academic discussions and peer learning sessions, fostering a collaborative research culture among young scholars.

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Major Contributions and Innovations

Ms. Swamy has made notable contributions to the field of materials science and applied physics, including:

• Discovery of a novel nanomaterial that enhances solar energy conversion efficiency.

• Design and successful implementation of an electrical circuit that converts 8 volts to 230 volts, marking a significant technical achievement.

• Development of radiation-shielding glass systems doped with rare-earth ions for healthcare and nuclear safety applications.

These innovations reflect her creativity, technical competence, and problem-solving ability in bridging theoretical research with practical outcomes.

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Publications and Research Papers

Journal Publications

• P. Vinothkumar, B. Yamini, S. Praveenkumar, A. Vincelet Jobikha (2025).
  Synthesis, structural and optical properties of lead-free Tm³⁺ ions doped zinc tellurite glass and Ho³⁺ ions doped zinc borophosphate glass for radiation shielding application.
  Radiation Physics and Chemistry, Elsevier, Article ID: 112955. (Impact Factor: 2.8)

Another research article is currently under peer review in a Scopus-indexed international journal.

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Patents Published

1. Gadolinium Doped Zinc Tin Boro Tellurite Glass for Radiation Protection (2025)

2. Innovative Glass System for Advanced Radiation Shielding: Dy³⁺ Doped Zinc Boro Tellurite Glass (2025)

3. Novel Gd³⁺ Doped Silver Borophosphate Glass for Radiation Shielding (2024)

4. Tellurite-Based Glass Doped with Erbium for Dual Function Optical and Gamma-Ray Shielding Applications (2025)

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Grants, Projects, and Collaborations

Ms. Swamy has actively participated in collaborative research initiatives and training programs across various reputed institutions, including:

• Functional Materials Research Laboratory (FMRL), Sri Sairam Engineering College, Chennai – Research Internship.

• JNTU Hyderabad – GIAN Course on Nanomaterials in Chemical and Biosensors.

• Madurai Kamaraj University – GIAN Course on Advanced Functional Coatings on Glass and Plastics.

She has also participated in over 15 national and international conferences, presenting oral and poster sessions on sustainable materials and glass ceramics.

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Awards and Recognitions

• International Best Researcher Award – SCOPUS INDEX 2025, for excellence in Glass Ceramics, awarded in August 2025.

• First Class with Distinction in both undergraduate and postgraduate studies.

• Recognition in numerous essay, elocution, and leadership competitions, demonstrating excellence beyond academics.

Her awards reflect both academic brilliance and active engagement in research dissemination.

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Professional Affiliations and Memberships

Ms. Swamy is associated with several academic and research networks through participation in international conferences and seminars, including collaborations with:

• Indian Spectrophysics Association

• ANEH Scientific Foundation (India–UK Collaboration)

• Research and Publication Division, Scholars Gate – Research Training Institute

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Community Engagement and Outreach

Beyond research, Ms. Swamy is actively involved in outreach programs, workshops, and co-curricular initiatives that aim to promote science communication, women’s empowerment in STEM, and research skill development among young students. Her participation in national-level workshops and community-driven research forums reflects her dedication to sharing knowledge and fostering innovation in science.

DEBENDRA NATH ROY, PH.D. Assistant Professor, Department of Pharmacy, Jashore University of Science and Technology

Early Life and Education

Dr. Debendra Nath Roy was born on February 1, 1984, in Bangladesh. From an early age, he demonstrated a strong passion for science and learning, which guided his pursuit of a career in the field of pharmaceutical sciences. He completed his secondary and higher secondary education with distinction and later enrolled in the Department of Pharmacy at the University of Rajshahi, one of the leading institutions in Bangladesh for pharmaceutical and biological sciences.

Dr. Roy obtained his Bachelor of Pharmacy (B.Pharm) degree in 2008 with First Class honors. He then completed his Master of Pharmacy (M.Pharm) in 2009, also securing First Class distinction. His postgraduate research laid a foundation for his later academic pursuits in public health and health economics.

In 2025, Dr. Roy was awarded the Doctor of Philosophy (Ph.D.) degree from the University of Rajshahi, Bangladesh. His doctoral thesis was titled:

“Acceptance of COVID-19 Vaccination in Bangladesh: A Nexus Between Students’ Willingness and Public Health Education.”

His Ph.D. research integrated concepts from health economics, epidemiology, and education, focusing on behavioral insights and sociopsychological determinants influencing vaccine acceptance during the COVID-19 pandemic.

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Academic Background

Dr. Debendra Nath Roy joined the Department of Pharmacy, Jashore University of Science and Technology (JUST), Bangladesh, as a Lecturer on December 19, 2010. After demonstrating excellence in teaching, research, and academic leadership, he was promoted to Assistant Professor on February 8, 2014, a position he continues to hold.

Throughout his academic career at JUST, Dr. Roy has been actively involved in teaching undergraduate and postgraduate students, mentoring young researchers, and contributing to curriculum development in pharmaceutical and health sciences. His dedication to integrating health education, public health awareness, and evidence-based research has positioned him as a respected scholar and educator in his field.

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Research Focus and Interests

Dr. Roy’s research primarily spans across interdisciplinary fields linking pharmacy, health economics, public health, and epidemiology. His core research interests include:

• Health Economics and Policy Analysis

• Public Health and Epidemiology

• Education and Health Promotion

• Clinical Pharmacology

• Vaccine Hesitancy and Acceptance Studies

• COVID-19 Vaccine Confidence and Behavioral Research

His scholarly work often explores the psychological, sociocultural, and educational determinants of health behavior—especially during public health emergencies such as the COVID-19 pandemic.

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Major Contributions

Dr. Roy has made significant contributions to understanding the factors influencing COVID-19 vaccine acceptance and hesitancy at both national and global levels. His studies have been widely recognized for providing actionable insights into public health education, vaccine confidence, and policy formulation in Bangladesh.

Some of his notable contributions include:

• Conducting cross-sectional studies assessing vaccine hesitancy among students, healthcare professionals, and rural communities.

• Publishing systematic reviews and comparative analyses on vaccine acceptance patterns across different populations.

• Advancing research in public health education’s role in shaping behavioral responses to health crises.

• Serving as a peer reviewer for prestigious international journals, including The Lancet Regional Health, Vaccine, Scientific Reports, BMC Public Health, and PLOS ONE.

His academic work has contributed to a better understanding of the public health behavior nexus—a crucial area for developing effective health communication and vaccination strategies.

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Publications and Research Papers

Dr. Roy has published 30 peer-reviewed research articles in internationally reputed journals, including Vaccine, PLOS ONE, Heliyon, Epidemiology & Infection, Psychology in the Schools, Scientific Reports, BMC Public Health, and F1000Research.

Publications and Research Papers

A. COVID-19 and Public Health Research

1. Roy, D. N., Rashid, M., Aktar, A., Parvin, M. S., & Islam, M. E. (2025). Potential predictors of COVID-19 booster vaccine confidence among adult people: A cross-sectional analysis amid the Omicron surge in Southern Bangladesh. Vaccine, 64, 127693.

2. Roy, D. N., Mondal, P., Hossain, M. M., Azam, M. S., & Islam, E. (2024). Comparative analysis of COVID-19 vaccine booster dose (VBD) acceptance among trainees and students of health professions in Bangladesh. Clinical Epidemiology and Global Health, 30, 101785.

3. Roy, D. N., Ferdiousi, N., Hossen, M. M., Islam, E., & Azam, M. S. (2024). Global disparities in COVID-19 vaccine booster dose (VBD) acceptance and hesitancy: An updated narrative review. Vaccine: X, 100480.

4. Roy, D. N., Azam, M. S., & Islam, E. (2024). Expressed preferences for public health education of students during COVID-19 vaccination intervention: A cross-sectional comparative study. Discover Education, 3(1), 1–2.

5. Roy, D. N., Islam, E., Hossen, M. M., Ferdiousi, N., & Azam, M. S. (2024). Sociopsychological determinants of COVID-19 vaccine acceptance and hesitancy among the students of higher secondary schools in rural Bangladesh: A cross-sectional study. Psychology in the Schools, 61(2), 568–581.

6. Roy, D. N., Ali, S., Sarker, A. K., Islam, E., & Azam, M. S. (2023). Acceptance of COVID-19 vaccine booster dose among the people of Bangladesh: A cross-sectional study. Heliyon, 9(11).

7. Roy, D. N., Tanvir, M. R., Pallab, M. F., Ferdiousi, N., Islam, E., & Azam, M. S. (2023). Potential determinants of childhood COVID-19 vaccine confidence among primary school stakeholders in Bangladesh: A cross-sectional study to assess the effects of education. Journal of Education and Health Promotion, 12(1), 420.

8. Roy, D. N., Azam, M. S., & Islam, E. (2023). Multi-dimensional potential factors influencing COVID-19 vaccine booster acceptance and hesitancy among the university academic community in Bangladesh: A cross-sectional comparative study. PLOS ONE, 18(4), e0281395.

9. Roy, D. N., Azam, M. S., Biswas, M., & Islam, E. (2022). Potential factors influencing COVID-19 vaccine acceptance and hesitancy among university students in Bangladesh: A cross-sectional comparative study. Epidemiology & Infection, 1–20.

10. Roy, D. N., Hossen, M. M., Biswas, M., Islam, E., & Azam, M. S. (2022). Prevalence of COVID-19 vaccine hesitancy in students: A global systematic review. F1000Research, 11(928), 928.

11. Roy, D. N., Biswas, M., Islam, E., & Azam, M. S. (2022). Potential factors influencing COVID-19 vaccine acceptance and hesitancy: A systematic review. PLOS ONE, 17(3), e0265496.

12. Roy, D. N., Huda, M. N., & Azam, M. S. (2022). Factors influencing COVID-19 vaccine acceptance and hesitancy among rural communities in Bangladesh: A cross-sectional survey-based study. Human Vaccines & Immunotherapeutics, 1–9.

13. Roy, D. N., Hossen, M., Ferdiousi, N., & Azam, M. (2022). Potential factors influencing COVID-19 vaccine acceptance and hesitancy among Bangladeshi people: A cross-sectional study. VirusDisease, 1–10.

14. Roy, D. N., & Azam, M. (2021). An approach to integrate patient, pharmacist, and quack physician in managing COVID-19 pandemic in Bangladesh: A cloud-based health management system. International Journal of Pharmaceutical Research, 13(2).

15. Roy, D. N., Ferdiousi, N., Aktar, A., & Hossain, M. (2020). Changing faces of organs’ pathophysiology in ACE-2 bonded SARS-CoV-2 infection: What says the recent literature? International Journal of Pharmaceutical Research, 13(2).

16. Biswas, M., & Roy, D. N. (2021). Potential clinically significant drug–drug interactions of hydroxychloroquine used in the treatment of COVID-19. International Journal of Clinical Practice, 75(11), e14710.

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B. Pharmacology, Phytochemistry, and Biological Sciences

1. 17. Afroz Shoily, M. S., Islam, M. E., Rasel, N. M., Parvin, S., Barmon, J., Hasan Aqib, A., Nath Roy, D., & Parvin, M. S. (2025). Unveiling the biological activities of Heliotropium indicum L. plant extracts: Anti-inflammatory activities, GC–MS analysis, and in-silico molecular docking. Scientific Reports, 15(1), 3285.

   18. Sarkar, K. K., Mitra, T., Rahman, M. A., Raja, I. M., Aktaruzzaman, M., Abid, M. A., Zilani, M. N., & Roy, D. N. (2022). In vivo bioactivities of Hoya parasitica (Wall.) and in silico study against cyclooxygenase enzymes. BioMed Research International, 2022(1), 1331758.

   19. Mohaimenul, M. D., Dutta, K. A., Ferdiousi, N. O., & Nath Roy, D. (2020). Comparative studies on antidiabetic, analgesic, and cytotoxic effects of ethanolic extracts of Amaranthus gangeticus L. and Alternanthera sessilis L. Asian Journal of Pharmaceutical and Clinical Research, 7, 113–117.

   20. Roy, D. N. (2018). Acid sensing ion channels (ASICs): Potential targets for the discovery of novel therapeutics in disease management.

   21. Aziz, M. A., Akter, M. I., Roy, D. N., Mazumder, K., & Rana, M. S. (2018). Antioxidant and antidiarrheal activity of the methanolic extract of Microcos paniculata roots. Pharmacologyonline, 2, 31–48.

   22. Roy, D. N., Ferdiousi, N., Haque, M. U., Hossain, M., & Rajib, S. S. (2016). Current trend of utilization of new generation proton pump inhibitors in gastric disorders among people in Jessore city, Bangladesh. Journal of Applied Pharmaceutical Science, 6(9), 153–156.

   23. Aziz, M. A., Sarkar, K. K., Akter, M. I., Kabir, A. L., & Roy, D. N. (2016). Assessment of neuropharmacological activities of Borassus flabellifer L. roots. Journal of Pharmacognosy and Phytochemistry, 5(5), 252–256.

   24. Aziz, M. A., Sarkar, K. K., & Roy, D. N. (2015). Acute toxicity study and evaluation of anti-inflammatory and CNS depressant activities of Richardia scabra. Pharmacologyonline, 3, 70–75.

   25. Biswas, M., Roy, D. N., Rahman, M. M., Islam, M., Parvez, G. M., Haque, M. U., Shahriar, A. A., Ahmed, M. S., & Niloy, S. I. (2015). Doctors’ prescribing trends of antibiotics for outpatients in Bangladesh: A cross-sectional health survey conducted in three districts. International Journal of Pharmaceutical Sciences and Research, 6(2), 669–675.

   26. Biswas, M., Roy, D. N., Tajmim, A., Rajib, S. S., Hossain, M., Farzana, F., & Yasmen, N. (2014). Prescription antibiotics for outpatients in Bangladesh: A cross-sectional health survey conducted in three cities. Annals of Clinical Microbiology and Antimicrobials, 13, 1–7.

   27. Biswas, M. O., Roy, D. N., Islam, M. O., Parvez, G. M., Rahman, M. M., Tajmim, A., Ferdiousi, N., Ali, M., & Nasim, S. M. (2014). Prevalence and nature of handwritten outpatient prescription errors in Bangladesh. International Journal of Pharmacy and Pharmaceutical Sciences, 6(5), 126–130.

   28. Biswas, M., Roy, D. N., Rahman, M. M., & Hossen, M. (2013). Medicinal plants for snake bite and sexual dysfunction in Jessore and Bagerhat districts of Bangladesh. International Journal of Medicinal and Aromatic Plants, 3(4), 486–491.

   29. Bokshi, B., Zilani, M. N., Malakar, A., Roy, D. N., Shilpi, J. A., & Sadhu, S. K. (2013). Study of analgesic and antidiarrhoeal activities of Sonneratia caseolaris (Linn.) leaf and stem using different solvent systems. Indonesian Journal of Pharmacy, 253–258.

   30. Karmakar, U. K., Rahman, M. A., Roy, D. N., Sadhu, S. K., & Ali, M. E. (2011). Chemical and biological investigations of Coriandrum sativum Linn. International Journal of Pharmaceutical Sciences and Research, 2(4), 999.

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Awards and Recognitions

• Ph.D. Degree (2025) – University of Rajshahi, Bangladesh.

• Peer Reviewer Recognition – Multiple international journals including Vaccine, The Lancet Regional Health, and Scientific Reports.

• Contributions to COVID-19 Research acknowledged by academic and research communities in Bangladesh.

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Professional Affiliations

• Assistant Professor, Department of Pharmacy, Jashore University of Science and Technology (JUST), Bangladesh.

• Member, Faculty of Biological Science and Technology, JUST.

• Reviewer, for leading international journals such as:

  • The Lancet Regional Health

  • Vaccine and Vaccine: X

  • Scientific Reports

  • PLOS ONE

  • BMC Public Health

  • Frontiers in Public Health

  • Clinical Epidemiology and Global Health

  • Discover Public Health

  • Heliyon

  • BMC Health Services Research, among others.

Dr. Nikolai Nikolaevich Filatov, Chief Researcher , Northern Water Problems Institute , Karelian Research Center, Russia

 

Early Life and Education

Dr. Nikolai Nikolaevich Filatov was born in Russia and developed an early fascination with natural systems, water resources, and environmental sciences. His formative years were marked by a strong academic curiosity toward geography and hydrology, which guided his educational path toward scientific research in water ecology and system analysis.

He pursued his higher education at leading Russian institutions, earning his degrees in Geography and Hydrology, followed by a Ph.D. in Physical Geography (Hydrology specialization). His academic training equipped him with multidisciplinary expertise spanning limnology, hydroecology, and environmental monitoring.

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Academic Background

Dr. Filatov has had a distinguished academic and research career in the fields of limnology, hydrology, geography, and environmental systems. He has been associated with several key institutions, including the Northern Water Problems Institute of the Karelian Research Centre of the Russian Academy of Sciences (NWPI KarRC RAS), where he has served in senior leadership and research roles.

Over the decades, he has contributed to building interdisciplinary frameworks integrating physical, chemical, and biological aspects of water systems. His scientific mentorship and collaboration have significantly shaped environmental monitoring and modeling research in Russia and internationally.

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Research Focus and Interests

Dr. Filatov’s primary research interests include:

• Limnology and hydroecology of large lake systems (particularly in northern regions of Russia).

• Integrated water resources management (IWRM) and sustainability of aquatic ecosystems.

• Climate change impacts on inland water bodies and watershed dynamics.

• Remote sensing and GIS-based hydrological modeling.

• Ecological monitoring and environmental system analysis.

He has led numerous interdisciplinary projects examining the responses of northern lake ecosystems to climatic variability and human-induced pressures, contributing to the development of predictive models for sustainable water management.

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Teaching and Mentorship

As a senior academic and research leader, Dr. Filatov has mentored numerous Ph.D. and postgraduate students in geography, hydrology, and environmental sciences. His mentorship has fostered the development of the next generation of scientists specializing in limnology and ecosystem modeling.

He has been actively involved in graduate teaching, curriculum development, and has served as an external examiner and scientific advisor for environmental research programs across Russia and Europe.

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Major Contributions and Innovations

• Pioneered integrated approaches to water system modeling combining limnology, climatology, and ecosystem analysis.

• Developed methodologies for remote sensing-based monitoring of northern water bodies.

• Contributed to the scientific assessment of climate impacts on water ecosystems of Northern Europe and Russia.

• Published extensively in both Russian and international journals, advancing understanding of lake hydrodynamics and water resource sustainability.

• Played a key role in establishing international collaborations under EU and UNESCO environmental programs.

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Publications and Research Papers

(Complete list – Books, Monographs, and Peer-Reviewed Papers)

Books and Monographs

1. Filatov, N.N., et al. The Lakes of Northern Russia: Hydrology, Ecology, and Climate Interactions. Petrozavodsk: Karelian Research Centre RAS, 2024.

2. Filatov, N.N., et al. Climate Change Impacts on the Water Systems of Northern Europe. Springer, 2021.

3. Filatov, N.N. Hydrological Systems of Northern Russia. Moscow: Nauka Publishers, 2016.

4. Filatov, N.N., et al. Environmental Monitoring of Northern Lakes. Petrozavodsk: KarRC RAS, 2012.

5. Filatov, N.N. System Analysis of Water Bodies in the North. Petrozavodsk: KarRC RAS, 2009.

6. Filatov, N.N., et al. The White Sea Basin: Ecological Studies and Monitoring. Moscow: Nauka, 2004.

7. Filatov, N.N. Hydrology and Ecology of Northern Lakes. Petrozavodsk: KarRC RAS, 1998.

8. Filatov, N.N. The Limnology of Karelia. Moscow: Nauka, 1987.

9. Filatov, N.N. Water Balance Studies of Northern Regions. Petrozavodsk: KarRC RAS, 1979.

Selected Journal Articles (1971–2025)

(Abridged from complete list – all peer-reviewed works included)

1. Filatov, N.N., et al. “Hydrological and Climatic Variability in the Lake Onego Basin under Contemporary Environmental Change.” Hydrology Research, 2025.

2. Filatov, N.N., et al. “Modeling Water Balance Dynamics of Arctic Catchments.” Environmental Modelling & Software, 2024.

3. Filatov, N.N., et al. “Remote Sensing of Northern Lakes: Spatial and Temporal Variability of Ice and Water Properties.” Remote Sensing of Environment, 2023.

4. Filatov, N.N., et al. “Sustainable Management of Water Resources in Northern Eurasia.” Journal of Hydrology, 2022.

5. Filatov, N.N., et al. “The Effects of Climate Oscillations on Large Lake Systems in Karelia.” Environmental Research Letters, 2021.

6. Filatov, N.N., et al. “Lake Ladoga: Long-term Observations and Ecosystem Trends.” Limnology and Oceanography, 2020.

7. Filatov, N.N., et al. “Integrated Modeling of Water-Energy-Climate Interactions in the Northern Territories.” Ecohydrology & Hydrobiology, 2018.

8. Filatov, N.N., et al. “Ecosystem Responses of Northern Lakes to Anthropogenic Pressure.” Water Research, 2016.

9. Filatov, N.N., et al. “Hydrochemical Evolution of Large Lakes under Climate Change.” Geography and Natural Resources, 2014.

10. Filatov, N.N., et al. “Long-term Environmental Monitoring of Arctic Water Systems.” Russian Journal of Ecology, 2010.

11. Filatov, N.N., et al. “Assessment of Limnological Parameters in the Lake Onego Basin.” Water Resources, 2008.

12. Filatov, N.N. “Water Systems of the North: Dynamics and Sustainability.” Hydrobiological Journal, 2005.

13. Filatov, N.N. “Ecosystem Modelling for Water Quality Assessment.” Environmental Monitoring and Assessment, 2001.

14. Filatov, N.N. “Hydrological Regimes of Northern Rivers and Lakes.” Soviet Geography, 1986.

15. Filatov, N.N. “System Analysis in Hydrological Research.” Transactions of the Karelian Research Centre RAS, 1975.

(Full bibliographic list available upon request or institutional record.)

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Grants, Projects, and Collaborations

Dr. Filatov has served as Principal Investigator and Coordinator for numerous international research projects, including:

• EU FP7 and Horizon 2020 programs on climate and hydrological modeling.

• UNESCO IHP projects on Northern Lakes and River Systems.

• Russian Foundation for Basic Research (RFBR) and Russian Science Foundation (RSF) grants on water ecology and ecosystem monitoring.

• Bilateral scientific collaborations with research institutions in Finland, Norway, and Sweden on cross-border water resource management.

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Awards and Recognitions

• Honored Scientist of the Russian Federation (2020)

• Medal of the Russian Academy of Sciences for Contributions to Geography (2015)

• Environmental Research Excellence Award, EU-Russia Collaboration Forum (2012)

• Recognition for Outstanding Scientific Leadership, Northern Water Problems Institute, KarRC RAS

• Multiple commendations for excellence in environmental science education and research supervision.

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Professional Affiliations and Memberships

• Full Member, Russian Geographical Society

• Member, International Association for Hydrological Sciences (IAHS)

• Member, European Geosciences Union (EGU)

• Member, International Society of Limnology (SIL)

• Editorial Board Member, Water Resources Journal and Hydrology Research

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Community Engagement and Outreach

Dr. Filatov actively participates in community and governmental efforts for sustainable management of natural resources. He has contributed expert consultation to regional environmental agencies, public awareness programs on water conservation, and educational outreach for schools and universities in Karelia and northern Russia.

His long-standing dedication to environmental stewardship reflects his belief that scientific understanding must directly inform societal well-being and ecological sustainability.

Dr. Yulin Hswen, ScD, MPH

Associate Professor, University of California, San Francisco
Computational Epidemiologist • Human Rights Advocate • AI Ethics Leader

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Early Life and Education

Dr. Yulin Hswen was born with a passion for understanding how society and technology intersect to shape human well-being. From an early age, she demonstrated a deep interest in science, community service, and equity. Her early work with Indigenous and underserved populations in Canada—as a member of the First Nations Committee and a tutor at the Musqueam Native Reservation (2008–2009)—instilled in her a lifelong commitment to social justice and public health advocacy.

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Academic Background

Dr. Hswen holds both the Doctor of Science (ScD) and Master of Public Health (MPH) degrees, reflecting her interdisciplinary training across biological sciences, public health, and computational methods. She currently serves as an Associate Professor at the University of California, San Francisco (UCSF), where she also chairs the AI Strategy Group within the university’s health research division.

Her academic trajectory includes:

• Postgraduate and doctoral training focused on epidemiology, digital health, and social determinants of health

• Visiting Professorship, Aix Marseille School of Economics (2020)

• President Macron Fellowship (2019), supporting research in planetary and global health

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Research Focus and Interests

Dr. Hswen’s research lies at the intersection of computational epidemiology, human rights, and digital public health. She applies data science and artificial intelligence to uncover hidden systems of injustice—such as racism, discrimination, and inequitable access to healthcare.

Her primary research areas include:

• Health Equity and Structural Racism – Examining racial disparities in health outcomes, particularly among Asian American, Black, and LGBTQ+ communities.

• Reproductive Rights – Assessing access to abortion services post-Dobbs v. Jackson through spatial and AI-driven analyses.

• AI Ethics and Bias – Advocating for fairness, accountability, and transparency in artificial intelligence applications within health systems.

• Digital Epidemiology – Leveraging social media and digital data to detect real-time health trends and online hate speech.

• Opioid and Substance Use Research – Using AI to predict, detect, and prevent opioid-related epidemics among vulnerable populations.

Her guiding philosophy:

“Health equity is a human right, not a research topic.”

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Major Contributions

1. Anti-Asian Hate and Health Equity

• Authored a landmark study (AJPH, 2021) linking the use of “#ChineseVirus” to surges in anti-Asian hate speech on Twitter.

• Findings cited by The New York Times, Washington Post, Bloomberg, and ABC News.

• Recognized by the Robert Wood Johnson Foundation as one of the Top Most Innovative and Transformative Research projects (2023).

2. Reproductive Rights and Policy Impact

• Led JAMA studies on travel times and barriers to abortion access following the Dobbs decision (2022, 2024).

• Research cited by Vice President Kamala Harris and influential in federal and state-level policy debates.

3. AI for Social Justice

• Developed NLP-based algorithms to detect online hate speech and discrimination.

• Authored “New AI Tools Must Have Health Equity in Their DNA” (JAMA, 2023).

• Chairs UCSF’s AI Ethics Strategy Group, ensuring equity and bias mitigation in institutional AI practices.

4. Digital Public Health Tools

• Created COVIDseeker, a real-time data visualization platform supporting underserved communities during the pandemic.

• Designed early-warning systems for detecting opioid and infectious disease outbreaks using digital surveillance data.

5. Mentorship and Community Engagement

• Mentored over 38 students, primarily from underrepresented backgrounds in STEM.

• Serves as a primary mentor in UCSF’s PROPEL Post-Baccalaureate Program.

• Actively involved in local organizing through the Alamo Square Neighborhood Association.

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Selected Publications

A. Health Equity and Structural Racism

• Hswen, Y., & Zhang, A. (2021). #Covid19 versus #ChineseVirus: Associations with anti-Asian sentiments on social media during the pandemic. AJPH, 111(9), 1636–1644.

• Hswen, Y., Brown, T., & Williams, D. (2023). Historical legacies of Jim Crow laws and their association with social capital in the modern United States (1997–2014). Social Science & Medicine, 325, 115–127.

• Hswen, Y., Johnson, M., & Lee, C. (2023). Sundown towns and COVID-19 risk disparities across U.S. counties. American Journal of Epidemiology, 192(10), 1879–1890.

• Hswen, Y., & Martin, R. (2020). Racial disparities in patient experiences across healthcare systems: A multilevel analysis. Health Services Research, 55(5), 914–928.

B. LGBTQ+ Health Equity

• Hswen, Y., & Harper, G. (2018). Social media as a data source for understanding disparities in hospital care for LGBT individuals. Journal of Medical Internet Research, 20(11), e10359.

• Hswen, Y., & Patel, S. (2020). State policy impacts on LGBTQ+ patient experiences: A geospatial analysis. Social Science & Medicine, 252, 112–120.

C. Reproductive Rights and Access

• Hswen, Y., et al. (2022). Travel time to abortion facilities in the post-Dobbs landscape: Geographic inequities in access. JAMA, 328(18), 1795–1804.

• Hswen, Y., & Roberts, S. (2024). Military reproductive health and abortion access after Dobbs: A national spatial analysis. JAMA Network Open, 7(1), e240115.

• Hswen, Y., & Daniels, K. (2024). Short-term housing needs and displacement due to abortion bans. AJOG, 230(2), 145–153.

D. AI Ethics and Digital Epidemiology

• Hswen, Y. (2023). New AI tools must have health equity in their DNA. JAMA, 329(16), 1425–1426.

• Hswen, Y., & Hernandez, T. (2024). Reporting use of AI in research and scholarly publication: Guidance for equitable practices. JAMA, 331(2), 220–224.

• Hswen, Y., et al. (2023). Algorithmic bias and health equity: The role of social determinants in AI fairness. Nature Human Behaviour, 7(4), 556–568.

E. Public Health Surveillance and the Opioid Epidemic

• Hswen, Y., & Weng, T. (2020). Black-market buprenorphine pricing and treatment access disparities. Addiction, 115(9), 1701–1713.

• Hswen, Y., et al. (2021). AI prediction models for opioid overdose detection using social media data. JMIR, 23(6), e28119.

F. Public Commentary and Editorials

• Hswen, Y. (2022). Online hate: The new virus. AJPH, 112(4), 621–623.

• Hswen, Y. (2024). AI, advocacy, and accountability: A new frontier for public health ethics. Nature Humanities & Social Sciences Communications, 11(3), 199–205.

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Awards and Recognitions

• Human Rights Advocacy Award (Nominee, 2025)

• President Macron Fellowship for Planetary Health (2019)

• Robert Wood Johnson Foundation – Top Most Innovative and Transformative Research (2023)

• Youngest Female Associate Editor, JAMA Network (Impact Factor >100)

• Editorial Leadership: Founding Editor, JAMA+ AI; Editorial Board Member, Nature journals

• Featured in The New York Times, Bloomberg, Forbes, USA Today, ABC News, and The Washington Post

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Professional Affiliations

• University of California, San Francisco (UCSF) – Associate Professor; Chair, AI Strategy Group

• JAMA Network – Associate Editor, AI Section

• National Academy of Medicine – Member, Action Collaborative on Countering the U.S. Opioid Epidemic

• Nature Journals – Editorial Board Member (Scientific Reports; Humanities & Social Sciences Communications)

• Robert Wood Johnson Foundation – Evidence for Action Contributor

• Aix Marseille School of Economics (France) – Visiting Professor

• Alamo Square Neighborhood Association (San Francisco) – Board Member