Ts. Dr. Farhan binti Mohd Said is an Associate Professor at the Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA). She is an established researcher in bioprocess engineering, food biotechnology, halal science, and sustainable biocomposites, with nearly two decades of academic, research, and industry-linked experience. Her scholarly work emphasizes waste-to-wealth strategies, functional food development, biopolymer hydrogels, and green processing technologies aligned with sustainability and halal compliance.

---

Online Profiles

Dr. Farhan maintains an active scholarly presence through ORCID (0000-0003-0737-3486), Scopus Author ID (55934085500; H-index: 13), and Google Scholar (H-index: 14), reflecting consistent publication in high-impact international journals in biotechnology, materials science, and food engineering.

---

Education

She obtained her PhD in Bioprocess Engineering from Massey University, New Zealand, following a Master of Engineering (Bioprocess) from Universiti Teknologi Malaysia and a Bachelor of Technology (Honours) in Food Technology from Universiti Sains Malaysia. She also holds an International Higher Diploma in Food Safety and Halal Operations (EQF Level 5), strengthening her interdisciplinary expertise in halal systems and food process governance.

---

Research Focus

Her research focuses on bioprocess optimization, solid-state fermentation, microbial pigment production, bioactive compound extraction, sustainable food systems, halal biocomposites, and biopolymer hydrogels for food, biomedical, and packaging applications. She integrates kinetic modeling, response surface methodology, and green solvents to enhance process efficiency and sustainability.

---

Experience

Dr. Farhan has served UMPSA since 2006 in multiple academic and leadership roles, including lecturer, associate professor, research fellow, program coordinator, and faculty-level academic administrator. Her experience spans undergraduate and postgraduate teaching, curriculum development, research supervision, industrial consultancy, and international academic collaboration.

---

Research Timeline & Research

Her early research (2011–2015) concentrated on Monascus pigment production and fermentation kinetics, progressing into microalgae-based biofuels, enzymatic bioconversion, and natural product extraction (2016–2020). From 2021 onward, her work expanded into halal biocomposites, gluten-free functional foods, deep eutectic solvents, nanocellulose reinforcement, and chitin-based hydrogels for biomedical and packaging applications.

---

Research Impact

Her research has significantly contributed to sustainable bioprocessing, halal innovation, and functional biomaterials, evidenced by high citation metrics, industrial adoption, postgraduate completions, and interdisciplinary collaborations. Her findings have influenced food formulation strategies, waste valorization pathways, and biopolymer material design.

---

Innovation & Intellectual Property

Dr. Farhan’s innovation portfolio includes award-winning products such as gluten-free noodles, natural pigments, vegetarian drug delivery carriers, and waste-derived food and packaging solutions. These innovations have been recognized through multiple gold, silver, and bronze medals at national and international invention expositions.

---

Research Projects & Funding

She has secured and managed extensive research funding as both Principal Investigator and Co-Investigator from international, national (FRGS, UMP-IIUM-UITM), university, and industrial grants, covering areas such as gluten-free foods, antimicrobial biocomposites, halal systems, microalgae biofuels, and sustainable food packaging.

---

Conference Contributions

Dr. Farhan is a frequent invited speaker, technical committee member, reviewer, and best-presenter award recipient at international conferences in biotechnology, chemical engineering, sustainability, and halal science, contributing to knowledge dissemination and global academic engagement.

---

Academic Excellence

Her academic excellence is recognized through repeated Excellent Staff Awards, Bitara Scholar Awards (Gold and Silver), Best Presenter Awards, and publication excellence recognitions from UMPSA, highlighting sustained high-quality research output and academic leadership.

---

Societal / Industry Contribution

She actively contributes to society and industry through halal competency training, consultancy for food and manufacturing sectors, Fatwa technical advisory roles, community-based training programs, and industry-linked research on waste valorization and sustainable production systems.

---

Global Recognition

Dr. Farhan’s global recognition is reflected in international collaborations with China, Japan, New Zealand, and Southeast Asia, visiting lecturer appointments, international keynote invitations, and publications in globally indexed journals such as International Journal of Biological Macromolecules, Journal of Cleaner Production, and RSC Advances.

---

Publications 

1. Li, G., Said, F.M., Liang, J., Li, Y., Jing, Z. (2026). Fabrication of dual physically cross-linked agarose-based double network composite hydrogels with antibacterial and hemostatic properties for infected wound healing. International Journal of Biological Macromolecules, 337, 149011.

2. Zhang, J., Said, F.M., Lv, R., Daud, N.F.S., Jing, Z. (2025). Biocompatible quaternized chitosan-based nanocomposite hydrogels with antibacterial and rapid hemostatic properties. RSC Advances, 15, 30202–30216.

3. Oladeji, O.S., Said, F.M., Daud, N.F.S., Adam, F. (2025). Advancing gluten-free noodles development through sustainable and nutritional interventions. Applied Food Research, 5(2), 101209.

4. Oladeji, O.S., Said, F.M., et al. (2025). Effect of preservation techniques on phytochemical profile and antioxidant activity of oyster mushrooms (Pleurotus ostreatus). South African Journal of Botany, 184, 838–848.

5. Liang, J., Said, F.M., Xu, X., Guo, S., Li, Y., Jing, Z. (2025). Biodegradable agarose-based double-network composite hydrogels for wound hemostasis. Composites Communications, 58, 102533.

6. Okwuwa, C.C., Adam, F., Ries, M.E., Said, F.M. (2025). Carrageenan hard capsules reinforced with cellulose nanocrystals in deep eutectic solvents. Food Biomacromolecules, 2(3), 390–402.

7. Daud, N.F.S., Said, F.M., Chisti, Y., Yasin, N.H.M. (2021). Recovery of red pigments from Monascus purpureus FTC 5357: Operational conditions and kinetics. Brazilian Archives of Biology and Technology, 64, e21200182.

Uwayesu Happy E. is an interdisciplinary researcher from Uganda with academic training in development economics and environmental engineering, specializing in environmental sustainability, hydropower systems, wastewater treatment modeling, climate change, and natural resource management, with internationally visible research outputs and active engagement in global research networks.

---

Online Profiles

He maintains an active scholarly presence through ORCID (0009-0007-3497-9121), Google Scholar, ScienceOpen, Harvard Dataverse, OSF, Academia.edu, Africa Research Connect, and SSRN, ensuring global accessibility and dissemination of his research outputs.

---

Education

He holds an M.Sc. in Environmental Engineering with Distinction from Suzhou University of Science and Technology, China (2022–2024), supported by the China Aid Program for Developing Countries, with a thesis on comparability of hydropower systems and fossil fuel–based energy systems, and a B.A. (Honours) in Development Economics from Makerere University, Uganda (2017–2021), following completion of Uganda Advanced and Ordinary Certificates of Education.

---

Research Focus

His research focuses on environmental engineering, wastewater treatment modeling (ASM1), hydropower and energy systems comparison, climate change impacts, deforestation, aquatic ecosystem sustainability, environmental risk assessment, and the intersection of economics and environmental policy in developing countries.

---

Experience

Uwayesu Happy has professional experience in research and human resource environments, serving as Assistant Human Resource Officer in a research office at Thomson and Company, Kampala (2022–2023), Graduate Trainee at Suzhou University of Science and Technology (2024–2025), and with Interreg Europe, Lille, France, gaining exposure to international research administration and project coordination.

---

Research Timeline & Research Contributions

His research trajectory began with development economics and regional growth analysis, later transitioning into environmental engineering research focused on energy systems, wastewater treatment modeling, climate change, hydropower sustainability, and aquatic ecosystems, resulting in a growing portfolio of interdisciplinary publications from 2024 onward.

---

Research Impact

His work has achieved significant early-career impact, with publications receiving over 8,000 item views, 139 downloads, and 35 citations, reflecting strong visibility and relevance in environmental science, energy economics, and sustainability research.

---

Innovation & Intellectual Property

His research demonstrates innovation through interdisciplinary integration of economic modeling and environmental engineering approaches, particularly in large-scale wastewater treatment plant monitoring, hydropower system assessment, and ecosystem risk analysis, contributing methodological value rather than formal patent outputs at this stage.

---

Research Projects & Funding

He has conducted graduate-level and independent research projects supported by international scholarship funding, including the China Aid Program for Developing Countries, and has contributed to collaborative research initiatives associated with Eco Canada, Interreg Europe, Water Reed Project, and academic partnerships across Africa and Europe.

---

Conference Contributions

He has contributed research papers and data publications to international conferences, research repositories, and policy-focused scientific forums, disseminating findings on climate change, hydropower systems, wastewater treatment modeling, and environmental risk assessment.

---

Academic Excellence

He is a recipient of the Young Scientist Award 2025 and Best Excellence in Research Award (November 2025), reflecting recognition of his research quality, interdisciplinary expertise, and early-career academic achievements.

---

Societal / Industry Contribution

His research addresses critical societal challenges including climate change, deforestation, sustainable energy transitions, aquatic ecosystem protection, and wastewater management, supporting evidence-based environmental policy and sustainable development in Africa and other developing regions.

---

Global Recognition

Through international education, global research collaborations, indexed publications, reviewer role for PLOS ONE (Web of Science), and affiliations with Eco Canada and Interreg Europe, Uwayesu Happy has established growing international recognition as an emerging environmental and sustainability researcher.

---

Publications

Gabson, B., Huang, Z., & Uwayesu, H. E. (2025). The effect of biomass arrangement on Nakiwogo Landing Site and its impact on fish habitats in Lake Victoria: Congugated C–N vibrations. PJoES, 4(2). Zenodo. https://doi.org/10.2139/ssrn.5199363

Uwayesu, H. E., & Huang, Z. (2025). Evaluation of ASM1 parameters using large-scale WWTP monitoring data from a subtropical climate in Entebbe. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5172361

Uwayesu, H., & Mzize, N. (2024). Depletion of the natural environment. Harvard Environment Journals. https://doi.org/10.7910/DVN/EVFQ3L

Ncube, M., & Uwayesu, H. (2024). Comparability of hydropower systems, fossil fuels, and other environmental systems. Figshare Journal Contribution. https://figshare.com/articles/28517579

Uwayesu, H., Wiles, J., & Mustafa, S. (2024). Environmental impact and risk assessment of natural resource areas around Southern Nigeria and Uganda with reference to Kitezi landfill. Harvard Environment Journals. https://doi.org/10.7910/DVN/EJ4Z7E

Edwards, U. H., Ncube, F., & Samuel, M. (2025). Understanding and addressing climate change caused by deforestation in Morogoro, Tanzania. OSF Preprints. https://doi.org/10.17605/osf.io/eu26g

Clark, D. A., & Edwards, H. (2024). Basis of regional growth: Review prior to 1981. Agricultural and Development Economics Journal. https://doi.org/10.22004/AG.ECON.100768

Dr. S. Sudhakar is a distinguished Professor of Biotechnology at Manonmaniam Sundaranar University, Tirunelveli, India, with more than three decades of experience in molecular biology, regeneration biology, genomics, and translational biotechnology research. He is internationally recognized for pioneering earthworm-based regeneration biology, genome sequencing, and stem cell–related discoveries with strong implications for regenerative medicine.

---

Online Profiles

Dr. Sudhakar’s scholarly work is indexed across major international scientific platforms including PubMed, Scopus, Web of Science, and GenBank, with extensive genome, transcriptome, and sequence submissions, alongside editorial board service and global research collaborations in the USA, Europe, and Asia.

---

Education

He obtained his Ph.D. in Molecular Biology from Madurai Kamaraj University (1999), following an M.Sc. in Microbiology (University Gold Medalist, 1992) and a B.Sc. in Chemistry with Zoology as ancillary, establishing a strong interdisciplinary foundation in biological sciences.

---

Research Focus

His research focuses on regeneration biology, stem cell biology, genome and transcriptome analysis, DNA repair mechanisms, riboflavin-mediated regeneration pathways, earthworm genomics, translational regenerative medicine, nanoparticle toxicology, and molecular mechanisms underlying tissue repair.

---

Experience

Dr. Sudhakar has served as Professor of Biotechnology since 2013 at Manonmaniam Sundaranar University, previously as Associate Professor and Head, and has held prestigious postdoctoral and research associate positions at the University of Texas Health Science Center at San Antonio, University of California Irvine, and University of Southern California, Los Angeles.

---

Research Timeline & Research Contributions

His research trajectory evolved from viral genomics and molecular regulation of transcription to DNA damage response and aging pathways, and later to groundbreaking regeneration biology using earthworms, culminating in whole-genome sequencing, multi-tissue transcriptomics, and identification of over 21,550 genes relevant to regenerative medicine.

---

Research Impact

Dr. Sudhakar has published over 51 peer-reviewed research papers, authored 4 books, holds 3 patents, and has deposited 10 genome and transcriptome sequences in international repositories, significantly influencing regeneration biology, genomics, molecular medicine, and environmental biotechnology.

---

Innovation & Intellectual Property

He is an inventor on multiple Indian patents, including novel anti-tuberculosis drug candidates, antimicrobial compositions, and bioactive formulations, demonstrating translational innovation bridging molecular biology, drug discovery, and public health.

---

Research Projects & Funding

Dr. Sudhakar has successfully led and executed numerous competitive research projects funded by UGC, DBT, DST-SERB, and INSPIRE programs, covering regenerative biology, lamin A molecular mechanisms, cancer diagnostics, transcriptomics, bioinformatics infrastructure, and advanced biotechnology education.

---

Conference Contributions

He has delivered over 380 invited lectures worldwide and coordinated more than 30 national and international conferences, workshops, and training programs, significantly advancing scientific communication, patent awareness, bioinformatics capacity building, and regeneration biology dissemination.

---

Academic Excellence

His academic excellence is reflected in national first rank achievements, prestigious fellowships from DBT and UGC, Best Research Award at the University of California Irvine, and multiple national and international honors including Tamil Scientist Award, Most Inspiring Faculty Award, and Bharath Shiksha Rathna Award.

---

Societal / Industry Contribution

Dr. Sudhakar’s research has directly addressed societal challenges, including the identification and control of pathogenic outbreaks in livestock that prevented major economic losses, promotion of scientific literacy through public engagement, and translational research benefiting agriculture, medicine, and environmental safety.

---

Global Recognition

With long-term international research collaborations, high-impact publications, genome submissions, patents, and leadership roles in academic governance and editorial boards, Dr. Sudhakar is globally recognized as a leading authority in regeneration biology and molecular biotechnology.

---

Publications 

Sudhakar, S., Sun, X., Pan, Y.R., & Lee, E.Y.H.P. Cep164 is a mediator protein for the maintenance of genomic stability through modulation of MDC1, RPA, and CHK1, Genes & Development, 22, 587–600 (2008).

Comez, H., Sudhakar, S., & Comai, L. Perturbation of wild-type Lamin A metabolism results in accelerated aging phenotype, Aging Cell, 7(3), 355–367 (2008).

Elaiya Raja, S., et al., Function of translationally controlled tumor protein in regeneration, PLoS ONE, 12(4), e0175319 (2017).

Sayan, P., et al., The transcriptome of anterior regeneration in earthworm Eudrilus eugeniae, Molecular Biology Reports, 47, 1–25 (2020).

Arun, A., et al., Draft genome sequence of the earthworm Eudrilus eugeniae, Current Genomics, 23(2), 118–125 (2022).

Paul, S., et al., Importance of clitellar tissue in regeneration of earthworm, Functional & Integrative Genomics, 22(4), 1–32 (2022).

Paul, K., et al., Impact of engineered silver nanoparticles on Eudrilus eugeniae, Environmental Science and Pollution Research, 2022.

Raj, A.P.M.S., et al., Genetic signatures of exceptional longevity, Human Genomics, 19, 115 (2025).

(Dr. Sudhakar has authored over 50 SCI/Scopus indexed research articles; full list available upon request.)

---

Books

Sudhakar, S. & Mathavan, S. Viral Pesticides for Environmental Safety, Phoenix Publishing House, New Delhi, 1998.
Sudhakar, S. Research Methods in Life Sciences, Bharathidasan University, 2011.
Sudhakar, S. Importance of Research and Innovations in Emerging Countries, ACE International, 2020.
Kanniah, P., et al., Benign Fabrication of Nanoparticles from Algae, Elsevier, 2022.

Ms. Shreetha Bhat is an Assistant Professor in the School of Computer Science and Applications at REVA University, Bengaluru, with over two decades of academic and professional experience in computer science education and research. Her expertise lies in artificial intelligence, machine learning, and deep learning, with a strong research focus on intelligent transportation systems, rail track defect detection, and AI-driven human-centric applications.

---

Online Profiles

She maintains an active professional and research presence through ORCID (0000-0001-6131-6621) and LinkedIn (www.linkedin.com/in/shreetha-bhat-65b11834), which collectively showcase her academic contributions, publications, professional engagements, and research visibility in artificial intelligence and deep learning.

---

Education

Ms. Bhat holds an MCA and an M.Phil. in Computer Science from Visvesvaraya Technological University (VTU) and is currently pursuing her Ph.D. in Computer Science with specialization in artificial intelligence and deep learning, demonstrating continuous academic progression and commitment to advanced research.

---

Research Focus

Her research focuses on machine learning, deep learning, convolutional neural networks, transfer learning, ensemble learning, attention mechanisms, large language models, retrieval-augmented generation, and intelligent systems for rail track monitoring, defect detection, accessibility technologies, and educational AI applications.

---

Experience

Ms. Bhat has over 23 years of teaching and academic administration experience, currently serving as Assistant Professor at REVA University since 2016, with prior positions at MIT College of Engineering Pune, ICFAI National College Raichur, and Gulbarga University P.G. Centre Raichur, contributing extensively to teaching, student mentoring, accreditation (NAAC, NBA), academic coordination, and institutional quality assurance.

---

Research Timeline & Research Contributions

Her research journey began with applied computing and software engineering education, later evolving into AI-driven research on deep learning-based rail infrastructure monitoring, ensemble and attention-based defect classification, intelligent chatbots using LLMs, and accessibility-focused AI systems, resulting in consistent scholarly output from 2020 onwards.

---

Research Impact

Ms. Bhat has authored 12 peer-reviewed research publications, with citations reflecting growing research influence in applied artificial intelligence, achieving an h-index of 2 and contributing to SCI, Scopus, and peer-reviewed conference proceedings in rail safety, intelligent systems, and deep learning applications.

---

Innovation & Intellectual Property

Her research demonstrates innovation in applying deep learning, attention mechanisms, and ensemble approaches to real-world safety-critical systems such as railway track monitoring, as well as human-centric AI solutions including sign-language translation systems and intelligent chatbot frameworks; one patent has been published based on her research contributions.

---

Research Projects & Funding

She has actively supervised and guided multiple undergraduate and postgraduate research projects in MCA and BCA programs at REVA University, focusing on AI-based real-time systems, deep learning applications, and intelligent automation, contributing to institution-supported research and student innovation initiatives.

---

Conference Contributions

Ms. Bhat has presented and published research at several national and international conferences, including IEEE-sponsored and Scopus-indexed events, contributing papers on rail track defect detection, deep learning applications, intelligent systems, and educational AI tools.

---

Academic Excellence

She is a recipient of the Best Teacher Award (REVA University, 2021), Best Paper Award at IEEE ICDCECE 2022, and Best Research Paper – Second Prize at RENPER Conference 2025, reflecting excellence in teaching, research quality, and scholarly impact.

---

Societal / Industry Contribution

Her research contributes directly to public safety and inclusivity through AI-driven rail infrastructure monitoring, intelligent transportation safety solutions, and assistive technologies for communication accessibility, while her teaching and mentoring support industry-ready skill development among students.

---

Global Recognition

Through internationally indexed publications, award-winning conference papers, and participation in global AI research discourse, Ms. Shreetha Bhat has gained growing international recognition in artificial intelligence, deep learning, and intelligent systems research.

---

Publications (Journals & Conferences)

Shreetha Bhat & Asha Gowda Karegowda, Railway Track Monitoring using Deep Learning Techniques: A Preview, International Journal of Applied Research on Information Technology and Computing (IJARITAC), 2020.

Shreetha Bhat & Asha Gowda Karegowda, Enhancing Rail Track Defect Detection Using Ensemble Approach with Attention Mechanisms, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2025.

Shreetha Bhat, Asha Gowda Karegowda, Vineeth S. Naidu & Akshata, Leveraging HyDE and RAG in Gemma LLM Framework for Enlightened Deep Learning Chatbots, Human-Centric Intelligent Systems, 2025.

Shreetha Bhat, Asha Gowda Karegowda & Leena Rani, An In-depth Analysis of Rail Track Defect Classification: Traditional Machine Learning versus Deep Learning, SN Computer Science, In Review.

Shreetha Bhat, Asha Gowda Karegowda, Leena Rani, Vidya S. & Devika, Classification of Rail Track Crack using CNN with Pre-Trained VGG16 Model, ICDCECE 2022 – International Conference on Distributed Computing and Electrical Circuits and Electronics, 2022.

Leena Rani, Devika, Vinutha, Asha Gowda Karegowda, Vidya S. & Shreetha Bhat, Identification of Medicinal Leaves Using State-of-the-Art Deep Learning Techniques, ICDCECE 2022 – International Conference on Distributed Computing and Electrical Circuits and Electronics, 2022.

Shreetha Bhat, Asha Gowda Karegowda, Leena Rani, Vidya S. & Devika, Deep Learning Based Handwritten Arithmetic Equation Solver, Emerging Research in Electronics, Computer Science and Technology (ICERECT 2022), 2023.

Shreetha Bhat, Asha Gowda Karegowda & Leena Rani, Multiclass Classification of Rail Track Defects Using Deep Learning Techniques, International Conference on Smart Systems for Applications in Electrical Sciences, 2023.

Asha Gowda Karegowda, Shreetha Bhat, Akshata & Vineeth Naidu, Enriching Learning Experience Using Gemma: The Intelligent Chat Companion, International Conference on Smart Systems for Applications in Electrical Sciences, 2024.

Asha Gowda Karegowda, Abdus Salam M. R. & Shreetha Bhat, Development of a Model for Real-Time Voice or Text to Sign Language and Gestures to Text Conversion, GRENZE International Journal of Engineering and Technology, 2025.

Leena Rani, Asha Gowda Karegowda, Devika G. & Shreetha Bhat, Comparative Study of Transfer Learning Models for Mushroom Classification, International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, 2024.

Dr. Maryam Tajbakhshian is an Iranian environmental geologist and researcher at Ferdowsi University of Mashhad, specializing in environmental geology, sedimentology, hydrogeology, and hydrogeochemistry, with a strong research focus on water and soil quality assessment, sediment transport, and sustainable water resource management in arid and semi-arid regions.

---

Online Profiles

She maintains an active international research presence through ORCID (0000-0002-5352-1606) and indexed academic platforms that document her peer-reviewed publications, citation record, and reviewer activities in environmental and geological sciences.

---

Education

Dr. Tajbakhshian earned her Ph.D. in Geology from Ferdowsi University of Mashhad (2016) with a dissertation on sedimentation rates and sediment transport effects on reservoir water quality, following an M.Sc. in Environmental Geology (2012) focused on soil and water pollution from sulfur production in gas refineries, and a B.Sc. in Geology from Payam Noor University of Mashhad (2005).

---

Research Focus

Her research interests include environmental geology, hydrogeochemistry, groundwater and surface water quality assessment, sediment yield and erosion modeling, soil salinity, dam basin sedimentation, multivariate statistical analysis, GIS-based spatial assessment, and sustainable management of water resources.

---

Experience

Dr. Tajbakhshian has served as a researcher in the Department of Geology at Ferdowsi University of Mashhad, contributing to academic research, peer-review activities, and supervision and evaluation of research projects at innovation and research centers, alongside active engagement in national scientific committees.

---

Research Timeline & Research Contributions

Her early research focused on environmental impacts of sulfur production on soil and water systems (2012–2016), followed by extensive studies on sediment transport, reservoir sedimentation, and hydrogeochemical processes in dam basins and plains of northeastern Iran, progressively integrating advanced statistical methods, GIS, and long-term environmental trend analysis.

---

Research Impact

Dr. Tajbakhshian has authored 19 peer-reviewed publications in national and international journals, including Arabian Journal of Geosciences, Ecohydrology, Journal of Mountain Science, and Environmental Geochemistry and Health, contributing actionable scientific evidence for water quality protection and sustainable environmental management.

---

Innovation & Intellectual Property

Her research demonstrates innovation through the combined use of hydrogeochemical indices, multivariate statistics, GIS-based modeling, and erosion assessment tools to evaluate complex groundwater–surface water systems, supporting data-driven environmental decision-making, although no patents are currently reported.

---

Research Projects & Funding

She has actively contributed to university-supported and applied research projects related to water resources, sediment management, environmental flow estimation, and groundwater quality assessment, and has served as a supervisor and evaluator for research projects at innovation centers.

---

Conference Contributions

Dr. Tajbakhshian has presented her research at numerous national and international conferences on environmental science, water resources, and geology, contributing peer-reviewed papers on water quality, sediment yield, environmental flow, and hydrogeochemical assessment.

---

Academic Excellence

Her academic excellence is reflected in sustained research productivity, doctoral-level specialization, peer-reviewer roles for multiple scientific journals, and recognition as a subject-matter expert in environmental geology and hydrogeochemistry.

---

Societal / Industry Contribution

Her work directly supports environmental protection, agricultural sustainability, and public health by addressing water and soil quality challenges in industrial and agricultural regions, particularly those affected by gas refinery operations and intensive groundwater use.

---

Global Recognition

Dr. Tajbakhshian’s publications in internationally indexed journals, reviewer appointments with global publishers, and participation in international conferences have established her as a recognized researcher in environmental geology and hydrogeochemistry.

---

Publications

Journal Articles

Tajbakhshian, M., Mahmudy Gharaei, M.H., Mahboubi, A., Moussavi Harami, S.R., & Ejlali, I., Hydrogeochemistry study of water resources in Shahid Hashemi-Nejad gas refinery and surrounding areas using compound diagrams, saturation indices and ionic ratios, Geosciences Scientific Quarterly Journal, 2015.

Tajbakhshian, M., Mahmudy Gharaei, M.H., Mahboubi, A., Moussavi Harami, S.R., & Ejlali, I., Effects of environmental factors and recovered sulfur in Shahid Hashemi Nezhad gas refinery on soil quality for irrigation, Journal of Water and Soil, 2017.

Tajbakhshian, M., Mahmudy Gharaei, M.H., Mahboubi, A., Moussavi Harami, S.R., & Ejlali, I., Qualitative assessment of wastewater of Shahid Hashemi Nezhad gas refinery and adjacent water resources for agricultural uses, Iranian Journal of Irrigation and Drainage, 2018.

Tajbakhshian, M., Mahmudy Gharaei, M.H., Mahboubi, A., & Moussavi Harami, S.R., Study of different phases of sulphur in soil around a gas refinery and their relationship with soil characteristics, Journal of Advanced Applied Geology, 2020.

Tajbakhshian, M., Mahmudy Gharaei, M.H., Mahboubi, A., & Moussavi Harami, S.R., Study of corrosion and scaling of water resources and wastewater of Shahid Hashemi Nezhad gas refinery, Environment and Water Engineering, 2020.

Mosaedi, A., Ramezanipour, E., Mesdaqi, M., & Tajbakhshian, M., Assessment of effective factors on suspended sediment production and transport using gamma test and PCA, Journal of Water and Soil, 2021.

Tajbakhshian, M., Mosaedi, A., Mahmudy Gharaei, M.H., & Moussavi Harami, S.R., Estimation of sediment load and erosion of geological units: a basin-scale study from northeastern Iran, Journal of Mountain Science, 2021.

Tajbakhshian, M., Mosaedi, A., Mahmudy Gharaei, M.H., & Moussavi Harami, S.R., Determining the most appropriate method to estimate sediment delivery ratio in Shirin Darreh Dam basin, Iranian Journal of Irrigation and Drainage, 2022.

Tajbakhshian, M., Mosaedi, A., Mahmudy Gharaei, M.H., & Moussavi Harami, S.R., Role of geological formations on surface and groundwater quality of Shirin Darreh Dam basin, Ecohydrology, 2022.

Tajbakhshian, M., Hydrogeochemical evolution and water quality assessment of surface and groundwater resources: Shirin Darreh Dam basin, NE Iran, Arabian Journal of Geosciences, 2023.

Tajbakhshian, M., Mosaedi, A., Mahmudy Gharaei, M.H., & Moussavi Harami, S.R., Relationship between rainfall erosivity and sediment yield in a dam catchment, Iranian Journal of Earth Sciences, 2024.

Tajbakhshian, M., Groundwater quality and hydrogeochemical challenges in the Sarakhs Plain, NE Iran, Environmental Geochemistry and Health, 2025.

Tajbakhshian, M., Integrated hydrogeochemical and spatial assessment of groundwater quality using multivariate statistics and GIS, Environmental Systems Research, 2025.

---

Conference Papers

Tajbakhshian, M., Assessment of soil salinity in Shahid Hashemi Nezhad gas refinery and adjacent areas using EC and ΔpH indices, 1st Conference on Environment, Payam Noor University, 2014.

Tajbakhshian, M., Assessment of water quality for drinking, agriculture, and industrial use in Shahid Hashemi Nezhad gas refinery region, 2nd National Conference on Environment Research, Iran, 2014.

Tajbakhshian, M., Mosaedi, A., Estimation of environmental flow of Shirin Darreh River using hydrological methods, 8th National Conference on Water Resources Management of Iran, 2021.

Tajbakhshian, M., Hydrogeochemistry and groundwater quality assessment of Sarakhs Plain using WQI and GIS, First National Conference on Hydro-Informatics and Artificial Intelligence in Water Engineering, 2025.

Dr. Shahzad’s scholarly work is widely accessible through international indexing and publishing platforms including Web of Science, Scopus, Library Philosophy and Practice, Emerald, Sage, Wiley, MDPI, and Springer-linked journals, in addition to institutional repositories and professional academic networks reflecting his global research visibility.

---

Education

He holds a Ph.D. in Library and Information Science from The Islamia University of Bahawalpur (CGPA 3.90, First Position), an M.Phil. in Library and Information Management from Superior University Lahore (CGPA 3.89), an M.A. in Library and Information Science from the University of the Punjab (CGPA 3.74), along with multiple postgraduate degrees in English Literature, Political Science, Pakistan Studies, and History, demonstrating exceptional interdisciplinary academic breadth.

---

Research Focus

His research focuses on digital libraries, e-learning for continuing professional development, information-seeking behavior, technology acceptance models, artificial intelligence in libraries, big data analytics, fake news detection, blockchain, IoT, metaverse applications, green librarianship, information literacy, and sustainable smart library services.

---

Experience

Dr. Shahzad has been serving as Senior Librarian at GCU Lahore since August 2021, having previously worked as Librarian (BPS-17) at GCU Lahore and the University of Gujrat, where he led major initiatives in digital transformation, institutional repositories, automation, digitization, information literacy training, policy formulation, and academic service leadership.

---

Research Timeline & Research Contributions

His research trajectory evolved from information-seeking behavior and ICT adoption studies to advanced systematic reviews and empirical investigations on AI, big data, blockchain, e-learning, and smart libraries, culminating in one of the most prolific publication records in LIS within South Asia.

---

Research Impact

Dr. Shahzad has published over 74 research articles, including 40+ Scopus-indexed papers and 31 Web of Science impact-factor publications, significantly influencing global LIS scholarship on technology adoption, professional development, and digital transformation of academic libraries.

---

Innovation & Intellectual Property

His scholarly innovation lies in developing conceptual and empirical frameworks for digital library systems, AI-enabled services, fake news diffusion control, sustainable competence development, and smart library ecosystems, contributing original theoretical and applied knowledge to LIS research.

---

Research Projects & Funding

He has successfully secured and contributed to multiple funded projects from HEC Pakistan, Punjab HEC, international organizations, and institutional grants, including multimillion-rupee initiatives for digital libraries, archives, rare books digitization, virtual law libraries, and e-learning infrastructure development.

---

Conference Contributions

Dr. Shahzad has actively participated in and organized over 175 national and international conferences, workshops, seminars, and training programs, delivering invited talks, research presentations, keynote sessions, and professional development workshops across Pakistan and internationally.

---

Academic Excellence

He is a First-Position holder at Ph.D., M.Phil., and Master’s levels, recipient of multiple certificates of appreciation, editorial recognitions, and teaching excellence awards, and has evaluated postgraduate theses while mentoring emerging LIS researchers.

---

Societal / Industry Contribution

His work directly supports national research capacity building, digital inclusion, reading culture promotion, information literacy development, and ethical use of information technologies, benefiting universities, policymakers, and the broader knowledge society.

---

Global Recognition

Dr. Shahzad’s extensive impact-factor publications, editorial and reviewer roles for high-ranking international journals, global research collaborations, and leadership in digital librarianship have earned him strong international recognition within the LIS academic community.

---

Publications

Doctoral & Postgraduate Dissertations

Shahzad, K., Role of E-Learning for Continuing Professional Development of University Librarians, Ph.D. Dissertation, The Islamia University of Bahawalpur, 2024.
Shahzad, K., Technology Acceptance Behavior among University Library Practitioners of Lahore, M.Phil. Dissertation, Superior University Lahore, 2017.
Shahzad, K., Information Seeking Behavior of Faculty Members of Government College University Lahore, Master’s Thesis, University of the Punjab, 2007.

---

Books (International & National)

Shahzad, K., Information Searching and Retrieval, Lambert Academic Publishing, Germany.
Shahzad, K., Use and Impact of ICT in Libraries, Lambert Academic Publishing, Germany.
Shahzad, K., Basic Library Marketing Tools for Offline and Online Generation, Lambert Academic Publishing, Germany.
Shahzad, K., IT Acceptance Attitude among Information Professionals of Universities, Omni Scriptum Publishing, Germany, 2019.
Shahzad, K., A History of Government College University Library: 1872–2018, Online Publication, GCU Lahore.
Shahzad, K., GCU Library Handbook, Online Publication, GCU Lahore.

---

Selected Journal Publications (Impact Factor & Indexed)

Shahzad, K., et al., “The relationship between motivational factors and librarians’ professional development,” Journal of Librarianship and Information Science, 2022.
Shahzad, K., et al., “Factors affecting the adoption of integrated semantic digital libraries,” Library Hi Tech, 2022.
Shahzad, K., et al., “Developing a framework for fake news diffusion control,” Sustainability, 2022.
Shahzad, K., et al., “Effects of motivational and behavioral factors on job productivity,” Behavioral Sciences, 2023.
Shahzad, K., et al., “E-Learning for continuing professional development of university librarians,” Sustainability, 2023.
Shahzad, K., et al., “Effects of blockchain technology on university libraries,” Library Hi Tech, 2024.
Shahzad, K., et al., “Factors influencing the adoption of artificial intelligence in libraries,” Information Development, 2025.
Shahzad, K., et al., “Big data analytics in healthcare: innovations and future prospects,” Journal of Big Data, 2025.

Dr. Besma Bel Hadj Jrad-Tensaout is a Professor of Immunology and Biological Sciences at the Higher Institute of Biotechnology of Monastir (ISBM), University of Monastir, Tunisia, with over 25 years of academic and research experience. She is an internationally recognized immunologist whose work bridges cancer immunology, neuroinflammation, infectious diseases, and psychiatric disorders, contributing significantly to translational biomedical research.

---

Online Profiles

Dr. Jrad’s scientific contributions are indexed in major international databases including PubMed, with an h-index of 15, and she maintains institutional and professional visibility through the University of Monastir and ISBM research platforms, reflecting sustained international research impact and scholarly recognition.

---

Education

She earned her Ph.D. in Immunology from the University of Aix-Marseille II, France, following an M.Sc. in Immunology from the same institution and a B.Sc. in Natural Sciences from the University of Carthage, Tunisia, and later obtained her University Habilitation from Monastir University, qualifying her for full professorship and doctoral supervision.

---

Research Focus

Her research focuses on immunogenetics, tumor immunology, viral oncology, neuro-immuno-psychiatric disorders, cytokine signaling pathways, host–pathogen interactions, and the role of inflammatory and genetic factors in schizophrenia, bipolar disorder, and EBV-associated cancers.

---

Experience

Dr. Jrad has served as a University Professor at ISBM since 2012, with prior academic roles as Lecturer, Assistant Professor, and Assistant in Biological Sciences, alongside continuous research engagement at the Laboratory of Genetic, Biodiversity and Bio-resources Valorization (LR11ES41) since 1998.

---

Research Timeline & Research Contributions

Her early research (1998–2006) centered on TNF-TNFR superfamily involvement in EBV-associated cancers and viral oncology, later evolving (2007–2016 onward) toward neuro-inflammatory mechanisms underlying psychiatric diseases, integrating immunology, genetics, and environmental risk factors.

---

Research Impact

Dr. Jrad has authored over 40 peer-reviewed scientific publications in international journals, significantly advancing understanding of cytokine polymorphisms, immune dysregulation, viral infections, and psychiatric disease susceptibility within North African and Mediterranean populations.

---

Innovation & Intellectual Property

Her work demonstrates methodological innovation through the integration of immunogenetics, molecular diagnostics, and epidemiological modeling, contributing novel insights into immune-mediated disease mechanisms with translational relevance for diagnostics and therapeutic targeting.

---

Research Projects & Funding

She has led and contributed to multiple institutionally and nationally supported research projects on cancer immunology, neuroinflammation, infectious diseases, and psychiatric disorders, while supervising master’s and doctoral theses within structured research programs at ISBM.

---

Conference Contributions

Dr. Jrad has actively contributed to national and international scientific conferences through oral presentations, invited lectures, and scientific committee participation, fostering interdisciplinary dialogue in immunology, neuroscience, and biomedical sciences.

---

Academic Excellence

She is a senior academic leader with extensive doctoral supervision experience (6 PhD theses completed), mentorship of over 11 master’s dissertations, and sustained academic service including thesis evaluation, accreditation committees, and quality assurance leadership.

---

Societal / Industry Contribution

Her research contributes directly to public health by addressing immune-related mechanisms in cancer and psychiatric diseases, while her leadership in psycho-neuro-endocrino-immunology promotes interdisciplinary approaches to mental health challenges.

---

Global Recognition

Dr. Jrad holds international recognition through long-standing research collaborations with European institutions, indexed publications in high-impact journals, leadership of the Tunisian Society of Psycho-Neuro-Endocrinal-Immunology, and global academic engagement.

---

Publications (Peer-Reviewed Journals)

Bel Hadj Jrad, B., et al., “Identification of Tumor Necrosis Factor Receptor 2 (TNFR2) as a Possible Susceptibility Gene for Paranoid and Adult-Onset Schizophrenia,” Journal of Molecular Neuroscience, 43, 358–363, 2011.

Aflouk, Y., Inoubli, O., Saoud, H., Zaafrane, F., Gaha, L., & Bel Hadj Jrad, B., “Association Between TLR2 Polymorphisms and Schizophrenia in a Tunisian Population,” Immunological Research, 69(6), 541–552, 2021.

Additional Publications:
Dr. Besma Bel Hadj Jrad is the author or co-author of more than 40 peer-reviewed scientific articles published in indexed international journals in the fields of immunology, neuroinflammation, cancer biology, infectious diseases, and psychiatric research; the complete publication list is available through PubMed and institutional research databases.

Dr. Biswajeet Acharya is an Assistant Professor of Pharmacology at GITAM School of Pharmacy, GITAM (Deemed to be University), with over six years of academic, research, and professional experience. His research expertise lies in pharmacology, nanomedicine, reproductive and developmental toxicology, ethnopharmacology, and biomedical nanotechnology, with a strong emphasis on translational and interdisciplinary biomedical research.

---

Online Profiles

Dr. Acharya maintains internationally recognized research profiles through ORCID (0000-0002-1802-5818), Scopus Author ID (57556853000), ResearcherID (HNI-4311-2023), Google Scholar, and LinkedIn, which collectively document his scholarly publications, citation impact, patents, and global academic collaborations.

---

Education

He earned his Ph.D. (2020–2024) from Centurion University of Technology and Management, Odisha, specializing in ethnobotanical and teratogenic studies with in-silico and in-vivo validation, following an M.Pharm in Pharmacology (CGPA 9.6, University Gold Medalist) and a B.Pharm (CGPA 9.0) from Roland Institute of Pharmaceutical Sciences, Odisha.

---

Research Focus

Dr. Acharya’s research focuses on nanotechnology-based drug delivery systems, developmental and reproductive toxicology, ethnobotany, phytopharmacology, biomedical imaging, nanotoxicology, maternal–fetal health, and sustainable biomedical innovations integrating in-silico, in-vivo, and translational pharmacological approaches.

---

Experience

He is currently serving as Assistant Professor at GITAM School of Pharmacy, Visakhapatnam (May 2025–Present), previously holding academic positions at Centurion University of Technology and Management and professional experience as a Technical Analyst at SPI Global Ltd., contributing to teaching, research mentoring, institutional development, and pharmaceutical data analytics.

---

Research Timeline & Research Contributions

Dr. Acharya’s research journey progressed from foundational pharmacological studies to advanced nanomedicine, ethnopharmacology, and biomedical device research, culminating in extensive SCI-indexed publications on nanotoxicology, reproductive safety, phytomedicine, biomedical nanomaterials, and sustainable health technologies.

---

Research Impact

His work has been published in high-impact SCI journals such as Medical Oncology, Chemical Research in Toxicology, Solar Energy, ACS Applied Bio Materials, Reproductive Toxicology, and Computers and Electronics in Agriculture, contributing significantly to global knowledge in pharmacology, nanomedicine, and toxicological risk assessment.

---

Innovation & Intellectual Property

Dr. Acharya is a co-inventor of granted international design and innovation patents, including a UK-registered AI-enabled medical device for neurological disorder detection and an EEG-based diagnostic system for chronic migraine patients, demonstrating innovation at the interface of pharmacology, AI, and biomedical engineering.

---

Research Projects & Funding

He has actively contributed to institutionally supported and collaborative research projects involving nanomedicine, ethnobotanical drug discovery, biomedical imaging, maternal toxicity studies, and sustainable healthcare solutions, while supervising postgraduate and doctoral research aligned with national and global health priorities.

---

Conference Contributions

Dr. Acharya has contributed to national and international conferences through invited presentations, peer-reviewed publications, and interdisciplinary symposia in pharmacology, nanotechnology, toxicology, and biomedical sciences, supporting scientific knowledge exchange and collaborative research networks.

---

Academic Excellence

He is a University Gold Medalist, recipient of the Vice-Chancellor’s Roll of Honour for outstanding publication performance, and an active contributor to high-impact academic publishing with over 18 publications in a single academic year, reflecting sustained scholarly excellence.

---

Societal / Industry Contribution

His work supports public health, maternal safety, sustainable medicine, and traditional knowledge preservation by scientifically validating ethnobotanical practices and developing safe nanomedical interventions with translational relevance for healthcare and pharmaceutical industries.

---

Global Recognition

With extensive SCI-indexed publications, international book chapters, globally granted patents, and collaborations with researchers across Europe, Asia, and Australia, Dr. Acharya has achieved strong international recognition in pharmacology, nanomedicine, and biomedical research communities.

---

Publications

Journal Articles (SCI / SCIE / Indexed)

Acharya, B., & Barik, B., Nanotechnology in placental cancers: advances in targeted therapy and non-invasive diagnostics, Medical Oncology, 42(12), 534, Springer, 2025.
Samal, S., Sahoo, S. P., & Acharya, B., Nanotechnology-driven cardiac tissue engineering and 3D bioprinting, Nano Trends, Elsevier, 2025.
Acharya, B., et al., Advances in nanotechnology for colorectal cancer: smart targeting and theranostics, Medical Oncology, Springer, 2025.
Acharya, B., et al., Ethnobotanical wisdom in phytocosmeceuticals, Ethnobotany Research and Applications, 31, 2025.
Acharya, B., et al., Nanotechnology-enhanced imaging for fetal anomaly detection, Biomedical Materials & Devices, Springer, 2025.
Acharya, B., et al., Nanoparticle-mediated embryotoxicity mechanisms, Chemical Research in Toxicology, ACS, 2025.
Acharya, B., et al., Bamboo-based bio-photovoltaic devices, Solar Energy, Elsevier, 2024.
Acharya, B., et al., Cannabinoids and the male reproductive system, Maturitas, Elsevier, 2024.
Acharya, B., et al., Carbon quantum dots: synthesis and therapeutic applications, Inorganic Chemistry Communications, Elsevier, 2024.
Acharya, B., et al., Recent advances in nanotechnology-based drug delivery systems for reproductive disorders, ACS Applied Bio Materials, 2024.
Acharya, B., et al., Ethnogynecological properties of herbal plants, Environment, Development and Sustainability, Springer, 2023.
Acharya, B., et al., Bamboo shoots and nutraceutical potential, Journal of Ethnic Foods, Springer, 2023.
Acharya, B., et al., Recent progress in sickle cell disease treatment, Beni-Suef University Journal of Basic and Applied Sciences, Springer, 2023.
Acharya, B., et al., Black fungus: pandemic devastating India, IJPSN, 2022.
Acharya, B., et al., Food safety during pregnancy, IJPSN, 2023.
Acharya, B., et al., Natural alkaloids and teratological review, Indian Veterinary Journal, 2022.

Co-Author Journal Publications 

Meher, R., et al., Pathomechanisms and therapeutics in diabetes-associated dementia, Journal of Endocrinology, 2025.
Barik, B., et al., AgNP-infused patches in periodontal disease, International Journal of Nanomedicine, 2025.
Mishra, D. P., et al., Sulfonamide scaffolds for malaria therapy, Future Medicinal Chemistry, 2025.
Swain, S. K., et al., Medical nanorobots in healthcare, Current Molecular Medicine, 2024.

Book Chapters (International Publishers)

Acharya, B., et al., Electroactive materials for supercapacitors, Elsevier, 2026.
Acharya, B., et al., Nanocomposites and smart textiles, Springer Nature, 2025.
Acharya, B., et al., Chitosan nanoparticles in vaccine delivery, Elsevier, 2025.
Acharya, B., et al., Fluorescent carbon nanoparticles for drug delivery, Elsevier, 2025.
Acharya, B., et al., Plastic waste management post-COVID-19, Wiley, 2024.

Dr. Shagun Jain is an Assistant Professor and Ph.D. researcher in Computer Science with a strong interdisciplinary focus on artificial intelligence for smart agriculture, soil science, and remote sensing. She combines academic excellence with industry experience as a former SDE-II, and her research integrates machine learning, deep learning, hyperspectral imaging, and satellite data analytics to address real-world agricultural and environmental challenges.

---

Online Profiles

Dr. Jain maintains active academic and professional profiles on Google Scholar, ResearchGate, LinkedIn, GitHub, and institutional platforms of Delhi Technological University and VIPS-TC, ensuring global visibility of her research contributions, publications, and collaborative work in AI, agriculture, and geospatial intelligence.

---

Education

She is currently pursuing a Ph.D. in Computer Science and Engineering at Delhi Technological University (thesis submitted), following an MCA with 89% from Bharati Vidyapeeth’s Institute of Computer Applications and Management and a BCA with 93.2% from Vivekananda Institute of Professional Studies, demonstrating consistent academic excellence from undergraduate to doctoral levels.

---

Research Focus

Her research focuses on artificial intelligence–driven smart agriculture, hyperspectral and multispectral remote sensing, soil nutrient estimation, satellite image processing, transformer-based deep learning models, and precision farming systems aimed at sustainable agricultural innovation.

---

Experience

Dr. Jain currently serves as an Assistant Professor at Vivekananda Institute of Professional Studies – Technical Campus, where she teaches computer science and mentors undergraduate research, while previously working as a researcher at DTU’s Samsung Lab and as an SDE-II at Busy Infotech Pvt. Ltd., contributing to both academic research and enterprise-level software development.

---

Research Timeline & Research Contributions

Her research trajectory evolved from software engineering and data-driven systems to advanced AI models for soil and agricultural analytics, resulting in systematic reviews, novel spectral indices, transformer-based frameworks, and deep multitarget learning models published in high-impact SCI journals and IEEE conferences.

---

Research Impact

Dr. Jain’s work has made significant contributions to precision agriculture and environmental monitoring, with publications in SCI-indexed journals such as Computers and Electronics in Agriculture, Environmental Monitoring and Assessment, and IEEE Geoscience and Remote Sensing Letters, influencing data-driven soil nutrient prediction and smart farming practices.

---

Innovation & Intellectual Property

Her research introduces novel deep learning architectures, spectral indices, and hybrid AI frameworks for soil property estimation, advancing methodological innovation in hyperspectral analytics and agricultural decision-support systems, with strong potential for translational and applied research outcomes.

---

Research Projects & Funding

She has contributed to multidisciplinary research projects at Delhi Technological University, Samsung Lab, and the Indian Agricultural Research Institute, focusing on UAV-based hyperspectral data processing, neural network–based soil prediction models, and smart agriculture applications supported through institutional research initiatives.

---

Conference Contributions

Dr. Jain has authored and co-authored multiple IEEE and Springer conference papers, received a Best Paper Award, and actively participated in international conferences on agricultural computation, geoinformatics, and artificial intelligence, contributing to global academic discourse in AI-driven agriculture.

---

Academic Excellence

She is UGC-NET qualified, recipient of the Research Excellence Award 2025 from Delhi Technological University, and holds multiple advanced certifications in machine learning and artificial intelligence, reflecting sustained academic distinction and scholarly commitment.

---

Societal / Industry Contribution

Her research supports sustainable agriculture and food security through AI-enabled soil assessment, while her industry experience in enterprise software development bridges academic research with practical, scalable technological solutions benefiting farmers, researchers, and policymakers.

---

Global Recognition

With SCI-indexed journal publications, IEEE conference acceptances, international collaborations, and global research indexing, Dr. Jain’s work has achieved international recognition in the fields of artificial intelligence, remote sensing, and smart agriculture.

---

Publications (Journals & Conferences)

Journal Articles (SCI / SCIE):

1. Jain, S., Sethia, D., & Tiwari, K. C., “A Critical Systematic Review on Spectral-Based Soil Nutrient Prediction Using Machine Learning,” Environmental Monitoring and Assessment, vol. 196, 699, Springer, 2024, SCIE, IF: 3.0.

2. Jain, S., Sethia, D., & Tiwari, K. C., “Developing Novel Spectral Indices for Precise Estimation of Soil pH and Organic Carbon Using Hyperspectral Data and Machine Learning,” Environmental Monitoring and Assessment, vol. 196(12), 1255, Springer, 2024, SCIE, IF: 3.0.

3. Jain, S., Sethia, D., & Tiwari, K. C., “CAT-MTLNet: A Novel Deep Multi-Target Framework for Hyperspectral Soil Properties Estimation Using Concrete Autoencoder and Transformer,” IEEE Geoscience and Remote Sensing Letters, vol. 23, pp. 1–5, 2025, SCIE, IF: 4.4.

4. Jain, S., Sethia, D., & Tiwari, K. C., “TLM-Stack: A Deep Learning-Based Framework for Soil Nutrients Estimation Using Hyperspectral Data,” Computers and Electronics in Agriculture, Elsevier, 2025, SCIE, IF: 8.9.

Conference Papers (IEEE / Springer):
5. Jain, S. & Sethia, D., “A Review on Applications of Artificial Intelligence for Identifying Soil Nutrients,” International Conference on Agriculture-Centric Computation, Springer, 2023.
6. Jain, S., Sethia, D., & Tiwari, K. C., “A Hybrid Approach for Soil Nutrient Estimation Using Multispectral Data,” IEEE ICAEECI, 2023.
7. Jain, S., Sethia, D., & Tiwari, K. C., “Comparative Analysis of Machine Learning-Based Soil pH Prediction,” ICA 2024, Springer CCIS, 2025.
8. Shah, A., Sah, S., Singhal, S., Jain, S., & Sethia, D., “DSeP-xNet: A Feature Optimized Ensemble Framework for Hyperspectral-Based Soil Organic Carbon Prediction,” IEEE ARIIA, 2024.
9. Jain, A. & Jain, S., “A Novel Hybrid Model for Efficient Prediction of Diabetes Using Machine Learning,” IEEE IDICAIEI, 2024.
10. Jain, S., Sethia, D., & Tiwari, K. C., “CNViS-Net: A Self-Attention Framework for Predicting Soil Nutrients from Hyperspectral Data,” IEEE ICFTS, 2025.
11. Sangwan, A., Sethia, D., & Jain, S., “Multi-Strategy Fused Transformer-CNN with PSO-Driven Optimization for Soil Properties Estimation,” IEEE CIC, 2025 (Accepted).

Dr. S. Ramakoteswara Rao is an Associate Professor of Electronics and Communication Engineering with over 15 years of teaching, research, and academic leadership experience. His expertise spans deep learning, medical image processing, IoT, wireless sensor networks, and intelligent signal processing systems. He has published extensively in SCI, Scopus, and IEEE-indexed venues and holds an Indian patent in AI-based substation monitoring systems, contributing significantly to applied research and technology-driven education.

---

Online Profiles

Dr. Rao maintains active research profiles on global academic platforms including Scopus Author ID (58637564000), Google Scholar, and ORCID (0009-0003-5073-0837), which collectively reflect his scholarly output, citation impact, peer-reviewed publications, and international research visibility.

---

Education

He completed his Ph.D. in Deep Learning from Annamalai University (thesis submitted, 2025), following an M.E. in Applied Electronics from Sathyabama University with a CGPA of 8.24, and a B.Tech in Electronics and Communication Engineering from JNTU Hyderabad, building a strong interdisciplinary foundation in electronics, communication systems, and artificial intelligence.

---

Research Focus

His research primarily focuses on deep learning architectures for medical image registration and segmentation, transformer-based neural networks, hyperspectral image analysis, IoT-enabled intelligent systems, wireless sensor networks, and optimization-based artificial intelligence algorithms for healthcare and smart infrastructure applications.

---

Experience

Dr. Rao is currently serving as an Associate Professor at DVR & Dr. HS MIC College of Technology (Autonomous, NAAC & NBA Accredited) since 2021, having previously worked as Assistant Professor and Head of the Department at reputed autonomous and affiliated engineering institutions, where he contributed to curriculum design, accreditation processes (NAAC, NBA, Autonomous), and academic governance.

---

Research Timeline & Research Contributions

His research journey evolved from signal processing and VLSI system design in the early phase to AI-driven medical imaging, IoT systems, and deep learning optimization models in recent years, resulting in high-impact Q1 journal publications and interdisciplinary conference proceedings addressing real-world healthcare and smart technology challenges.

---

Research Impact

Dr. Rao’s research has been published in high-impact SCI-Q1 journals such as Pattern Recognition and Biomedical Signal Processing and Control, with applications in Alzheimer’s detection, cardiac MRI analysis, and multimodal medical image registration, demonstrating strong translational value and global research relevance.

---

Innovation & Intellectual Property

He is the inventor of an Indian patent titled “GSM-based Substation Monitoring and Control System Using Artificial Intelligence” (2023), which integrates AI, IoT, and power system automation to enhance reliability, real-time monitoring, and intelligent fault detection in electrical substations.

---

Research Projects & Funding

Dr. Rao has actively contributed to institutionally supported research initiatives, student-driven innovation projects, and applied AI system development aligned with smart healthcare, IoT automation, and signal intelligence, supporting undergraduate and postgraduate research mentoring and proposal development.

---

Conference Contributions

He has presented and published research findings in IEEE international conferences and Scopus-indexed proceedings, contributing to academic discourse on AI-based optimization, medical imaging, and wireless communication systems, while also participating in technical sessions, peer review, and knowledge dissemination activities.

---

Academic Excellence

Dr. Rao is UGC-NET qualified (96.784 percentile, 2025), a recipient of multiple NPTEL Silver and Elite certifications, and a ratified faculty member under JNTUK across multiple years, reflecting consistent academic performance, teaching excellence, and national-level recognition.

---

Societal / Industry Contribution

His work bridges academia and industry through IoT-based healthcare systems, AI-enabled monitoring solutions, and curriculum modernization, while mentoring students toward employability, innovation, and socially relevant engineering solutions addressing healthcare, energy, and smart infrastructure needs.

---

Global Recognition

With publications in internationally reputed journals, active professional society memberships (ISTE, IETE, IAENG), and global research indexing, Dr. Rao’s work has gained international visibility and recognition within the AI, signal processing, and medical imaging research communities.

---

Publications

1. Rao, S. R., et al., “An Intelligent Multimodal Medical Image Registration Using Hybrid Meta-Heuristic Optimization with Transformer-Based Residual U-Net,” Pattern Recognition, Elsevier, 2025, SCI-E, Q1, Impact Factor: 7.26.

2. Rao, S. R., et al., “ATUN-MDC Image Registration: Performance Enhancement Using Adaptive Trans-U-Net with Multi-Dilated Convolution,” Biomedical Signal Processing and Control, Elsevier, 2025, SCI-E, Q1, Impact Factor: 4.65.

3. Rao, S. R., et al., “IoT-Ready Energy-Autonomous Parking System,” AIP Conference Proceedings, 2025, Scopus Indexed, Q2.

4. Rao, S. R., et al., “A Novel Image Registration and Hyperspectral Classification Method for Multi-Scale Image Segmentation,” AIP Conference Proceedings, 2025, Scopus Indexed, Q2.

5. Rao, S. R., et al., “Alzheimer Image Registration Using Hybrid Random Forest and Deep Regression Network,” International Journal of Electrical and Electronics and Computer Science, 2024, Scopus Indexed, Q3.

6. Rao, S. R., et al., “Improved Anomaly Detection in Wireless Sensor Networks Using AI-Based Optimization Tools,” IEEE ICAISS Conference Proceedings, 2023.

7. Rao, S. R., “Segmentation of Blood Vessels and Optic Disk in Retinal Images Using SVM Classifier,” International Journal of Engineering Research & Technology.

8. Rao, S. R., “Brain Tumor Detection in MRI Images Using Genetic Algorithm,” International Journal of Engineering Research & Technology.

9. Rao, S. R., “A 32-Point FFT Using Vedic Mathematics,” International Journal of Engineering Research.

10. Rao, S. R., “Efficiency of Reactive Routing Protocols for Wireless Sensor Networks,” International Journal of Computer Applications and Technology.

11. Rao, S. R., “Patch-Based Coupled Dictionary Approach for Cardiac MRI Using SR Algorithm,” International Journal of Mechanical Engineering Research.

12. Rao, S. R., “SRT Synchronization Protocol for Healthcare IoT,” International Journal of Research.

13. Rao, S. R., “Optimization of Full Adder Cells Using HDL,” International Journal of Innovative Research in Technology.