Dr. Wanling Xiao – Best Researcher Award, Hunan Agricultural University

Dr. Wanling Xiao – Researcher in Agriculture, Hunan Agricultural University

Profile
Dr. Wanling Xiao is a dedicated researcher at Hunan Agricultural University, Changsha, China, specializing in tea science, food chemistry, and functional agricultural products. She is actively involved in exploring the formation mechanisms of tea aroma, cultivar innovation, and functional ingredient utilization to improve both the quality and health benefits of agricultural products.

Affiliations

  • Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha 410128, China

  • National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China

  • Tea Cultivar Innovation Center, Yuelushan Laboratory, Changsha, Hunan 410128, China

Research Contributions

  • Published 3 Scopus-indexed papers

  • Total citations: 4

  • h-index: 2

  • Active collaborations with 16 co-authors across multidisciplinary projects

  • Contributions to preprints and ongoing tea aroma chemistry studies

Key Publication

  • Unraveling the mysterious jujube-like aroma in Pu-erh tea: Decoding the material basis for distinctive aroma formation, Food Research International, 2025

Research Interests

  • Tea aroma chemistry and metabolite profiling

  • Cultivar innovation for improved tea quality

  • Functional compounds in agricultural and botanical products

  • Processing effects on aroma and bioactive components in tea and related foods

Recognition
Dr. Xiao’s work is shaping the scientific understanding of how aroma compounds form in tea and how functional botanical ingredients can be better utilized. Her research bridges traditional agricultural practices with modern analytical science, contributing to both academic knowledge and industrial applications.

Scopus ID: 59369173800
Affiliation: Hunan Agricultural University, Changsha, China

Dr. Richa Yadav – Best Researcher Award in Microbiology & Medicinal Plant Research

Dr. Richa Yadav – Life Sciences Researcher | Antimalarial & Medicinal Plant Therapeutics Specialist

Dr. Richa Yadav is an accomplished researcher in the field of Life Sciences, Microbiology, and Parasitology, with more than 9 years of research and training experience across leading institutes in India and abroad. She specializes in antimalarial drug discovery, phytochemical screening, medicinal plant therapeutics, and nanoparticle-based drug development, with a strong emphasis on developing novel therapeutic interventions against parasitic infections.

Dr. Yadav completed her Ph.D. in Life Sciences (2019–2023) from the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, under the supervision of Prof. Rakesh Sehgal. Her doctoral thesis focused on “In-vitro antiplasmodial activity and in-vivo toxicity of Chlorophytum borivilianum and Uraria picta extract for the effective treatment of malaria.” The project encompassed phytochemical identification, secondary metabolite analysis, antioxidant activity assessment, toxicity studies, and advanced spectroscopic techniques including FTIR, TLC, Column Chromatography, and ¹H NMR spectroscopy in collaboration with Punjab University.

Previously, she obtained her M.Sc. in Biotechnology (2010–2012) and B.Sc. (Hons) in Biotechnology (2007–2010) from Bundelkhand University, Jhansi.


Research Interests

  • Development and standardization of small animal models to evaluate bioactives/plant extracts for toxicity profiling.

  • Prospection of molecules from medicinal plants with antibacterial and antimalarial properties.

  • Evaluating antimalarial activity of medicinal plants through in-vitro and in-vivo approaches.

  • Development of nanoparticle-based drugs and naturally derived therapeutic agents.


Professional Experience

  • Research Associate (Dec 2023 – May 2024), Aarupadai Veedu Medical College & Hospital, Puducherry

    • Wrote project proposals, mentored Ph.D. students in manuscript preparation (one published).

    • Conducted antibacterial and antioxidant studies.

    • Organized the International Pharmacoparasitology Conference 2024 and GCP/GLP/GCLP Workshop.

  • Ph.D. Research Scholar (2019–2023), PGIMER, Chandigarh

    • Carried out in-vitro/in-vivo antimalarial studies of plant extracts.

    • Performed toxicity analyses (cell lines, hemolysis, animal models) and identified active compounds.

  • ICMR Independent SRF (2018–2021), PGIMER, Chandigarh

    • Studied synergistic effects of C. borivilianum and U. picta extracts.

    • Conducted parasite culture, fluorescent staining, and in-vivo studies.

  • Research Associate (2015–2017), PGIMER, Chandigarh

    • Project on Molecular Epidemiology of Malaria in India and Qatar.

    • Expertise in parasite culture, PCR-based diagnosis, and drug resistance analysis.

  • Project Assistant-II (2013–2014), CSIR-CIMAP, Lucknow

    • Studied seed germination potential of Artemisia annua under abiotic stress.

  • Entomology/Data Assistant (2012), SGPGIMS, Lucknow (PHFI-funded project)

    • Fieldwork on Japanese Encephalitis vectors; mosquito collection, RNA extraction, PCR, and vector species identification.

  • WHO Polio Project (2010–2012), SGPGIMS, Lucknow

    • Isolation, culture, and RT-PCR analysis of polioviruses from clinical samples.


Awards & Recognitions

  1. First Prize Oral Presentation – IPC 2024 (Malaysia).

  2. APCCMI 2023 Outreach Grant, Seoul, Korea.

  3. Travel Bursary, Immunology Foundation & Chuttani Trust (2023).

  4. Sakura Student Exchange Fellowship, University of Nagasaki, Japan (2023).


Conference Presentations

  • International: ICTMM 2024 (Malaysia), APCCMI 2023 (Korea), IPC 2024 (Malaysia), Qatar Foundation Annual Research Conference (2016).

  • National: NIPER-Mohali (2022), ACM-SCTIMST (2020), ISST National Seed Seminar (2013), among others.


Workshops & Trainings

  • Organizer: International Pharmacoparasitology Conference 2024 and GCP/GLP/GCLP Workshop.

  • Training in Pre-Clinical Development of Medicinal Plant-Derived Compounds (CSIR-CIMAP, 2022).

  • Short-term training on malaria parasite cultivation & antimalarial testing (NIMR, 2019).

  • Multiple summer training programs in microbiology, virology, and biotechnology (2008–2012).


Publications & Research Output

  • 14 Research Articles | 2 Review Papers | 131 Citations | h-index: 8 | i10-index: 5

  • Published in Nanoscale, Spectrochimica Acta Part A, Journal of Molecular Structure, BioMetals, Tropical Medicine & International Health, among others.

  • Notable works include:

    • Phytochemical and toxicity evaluation of Uraria picta (Next Research, 2025).

    • Biogenic silver nanoparticles for cryptosporidiosis (BioMetals, 2025).

    • Antimalarial efficacy of medicinal plants (multiple studies, 2019–2025).

📖 Full list of publications available on ResearchGate


Technical Expertise

  • Molecular Biology: DNA/RNA isolation, PCR, Nested PCR, RT-PCR, gel electrophoresis.

  • Cell & Parasite Culture: Malarial parasite cultivation, bacterial culture (E. coli, Pseudomonas, Staphylococcus, Salmonella), virus isolation (Polio, Dengue, Chikungunya, JE).

  • Analytical Techniques: ELISA, Spectrophotometry, FTIR, TLC, NMR, SEM, fluorescence microscopy.

  • Animal Studies: In-vivo toxicity, small animal models for bioactive evaluation.


Personal Information

Best Researcher Award – Dr. Yin Guoqiang, Ph.D., Associate Professor, Northeastern University

Dr. Yin Guoqiang – Associate Professor, Northeastern University

Name: Yin Guoqiang 
Current Position: Associate Professor, Ph.D. Supervisor
Affiliation: School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China
Scopus ID: 55889369900


Academic & Professional Roles

Dr. Yin Guoqiang is an Associate Professor at the School of Mechanical Engineering and Automation, Northeastern University, where he also supervises doctoral students. He holds a Ph.D. in Engineering and has established himself as an expert in advanced manufacturing and precision machining.

He actively contributes to academic communities and professional societies, serving as:

  • Member, Youth Working Committee, China Cutting Advanced Technology Research Branch (Northeast Region)

  • Member, Theoretical Graphics Professional Committee, Chinese Society of Cartography

  • Senior Member, Chinese Society of Cartography

  • Review Expert, National Natural Science Foundation of China

  • Peer reviewer for several top SCI journals, including Journal of Manufacturing Processes, Journal of Materials Processing Technology, Tribology International, Advances in Manufacturing, Mechanical Systems and Signal Processing, and International Journal of Precision Engineering and Manufacturing


Research Areas

  • Ultra-precision machining and grinding of aerospace component materials

  • Intelligent manufacturing and intelligent equipment

  • Semiconductor chip cutting technology


Publications & Citations

  • 64 documents indexed in Scopus

  • 869 citations across 720 documents

  • h-index: 17 (Scopus)

  • Published more than 30 academic papers, including:

    • 20 SCI-indexed papers

    • 10 EI-indexed papers

    • 1 article in the Journal of Mechanical Engineering

  • His research contributions are widely cited in the fields of advanced manufacturing and materials processing.

📊 Scopus Author Page


Selected Recent Publications (2025)

  • Removal mechanisms and damage evolution in unidirectional Cf/SiC composites during 2D ultrasonic vibration-assisted grinding with a single diamond abrasive particle, Journal of Manufacturing Processes

  • Removal mechanism and damage evolution of Cf/Al composites based on single-diamond-grain grinding, International Journal of Advanced Manufacturing Technology

  • Study on the grindability and surface quality of SiCp/Al composites with different volume fractions, Materials Today Communications

  • Ultrasonic Elliptical Vibration Assisted Helical Grinding Kinematic Model and Material Removal Mechanism of 2.5D-Cf/SiC Composites, Journal of Mechanical Engineering

  • Study on the removal mechanism of 4H-SiC materials based on single grain grinding and optimization of process parameters, Journal of the Brazilian Society of Mechanical Sciences and Engineering


Research Projects

  • Principal Investigator, National Natural Science Foundation of China (NSFC) project

  • Principal Investigator, Liaoning Provincial Natural Science Foundation (General Project)

  • Principal Investigator, National Defense and Military Industry Project

  • Principal Investigator, 3 Basic Research Business Expense Projects for Central Universities (Ministry of Education)

  • Participant, Key NSFC Project (2.5 million CNY), General NSFC Project (600,000 CNY), Youth Fund Project, and Hebei Province Natural Science Fund Project


Awards & Honors

  • Outstanding Postdoctoral Fellow, Northeastern University

  • Third Prize, Liaoning Province Higher Education Teacher Teaching Competition

  • Second Prize, Northeastern University Teacher Teaching Competition

  • National Advanced Mapping Technology and Product Information Modeling Innovation Competition for College Students

    • Group First Prize

    • Excellent Individual First Prize

    • Excellent Guidance Teacher Award

  • Liaoning Province Advanced Mapping Technology and Product Information Modeling Innovation Competition

    • First Prize, Mechanical Group Competition

Dr. Seyed Hossein Hosseini Lavassani – Recognized Nominee for the Best Researcher Award in Structural Engineering

Dr. Seyed Hossein Hosseini Lavassani, Associate Professor – Structural Engineering, Kharazmi University, Iran

Profile Summary

Dr. Seyed Hossein Hosseini Lavassani is an Associate Professor in Structural Engineering with extensive academic and industrial expertise in structural control, health monitoring, and innovative material modeling. His interdisciplinary approach spans machine learning, artificial intelligence, and sustainable structural solutions, as reflected in over 45 peer-reviewed journal publications, 9 patents, and 30+ advised theses.

Education

  • Ph.D. in Structural Engineering
    Tarbiat Modares University (2005–2009)
    GPA: 17.81 | Thesis Grade: Excellent (19)
  • M.Sc. in Structural Engineering
    University of Guilan (2002–2005)
    GPA: 17.41 | Thesis Grade: Excellent (20)
  • B.Sc. in Civil Engineering – Hydraulic Structures
    Shahid Beheshti University (1998–2002)

Research Interests

  • Structural Control & Health Monitoring
  • Constitutive Modeling of Novel Materials
  • AI/ML Applications in Civil Engineering
  • Tensegrity & Flutter Control
  • Psychology of Structures
  • Manifold Geometry in Engineering Systems

Publications & Research Output

Books Published: 9 (in Persian)
Patents: 4
Peer-Reviewed Papers: 45+ (Q1–Q4 Journals)

Awards & Recognitions

  • 1st Rank in Ph.D. Program
  • 1st Rank in M.Sc. Program
  • Top Technologist – Kharazmi University (2015)
  • Top Technologist – Alborz Province (2022)
  • Industry Advisor to the President, Kharazmi University
  • Member – Think Tank of Alborz Chamber
  • Secretary – Iranian Concrete Scientific Association
  • Research Council Member – Iran Vocational Technical Center
  • Host/Expert – Rozaneh Program, Iranian International Radio

Teaching Experience

Courses Taught Across B.Sc., M.Sc., and Ph.D. Levels:

  • Steel & RC Structure Design (I, II, Project)
  • Dynamics of Structures
  • Computational Civil Engineering
  • Finite Element Methods
  • Plasticity, Structural Control
  • Advanced RC Design, Structural Health Monitoring
  • Advanced Mathematics, Plates & Shells Design

Skills

Technical:

  • Matlab, Python, Abaqus, AutoCAD
  • Machine Learning, Deep Learning, GNN
  • Data Science, FEM, CFD

Soft Skills:

  • Leadership, Critical Thinking, Decision Making
  • Team Coaching & Mentoring
  • Effective Communication & Ideation

Research Projects

  • Retrofit of Stone Arch Bridges & Emam Reza Mosque
  • Structural Health Monitoring in Rajaee Port
  • Assessment of Tajan Bridge’s Seismic Vulnerability
  • Smart Transportation Platform Development (Iran)
  • Value Engineering of Urban Infrastructure Projects

Professional Links

Supervision

  • Theses Advised: 30
  • Theses Supervised: 45

Personal Interests

  • VR Gaming
  • Philosophy Reading
  • Tennis, Swimming
  • Film & Cinema Enthusiast

Top Publications

Hosseini Lavassani, S.H.*, et al.
Optimal control of jacket platforms vibrations under the simultaneous effect of waves and earthquakes considering fluid-structure interaction.
Ocean Engineering, Q1, JCR.

  1. Hosseini Lavassani, S.H.*, et al.
    Optimization of semi-active tuned mass damper inerter for enhanced vibration control of jacket platforms using multi-objective optimization.
    Structures, Q1, JCR.
  2. Hosseini Lavassani, S.H.*, et al.
    Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge.
    Structural Health Monitoring, Q1, JCR.
  3. Hosseini Lavassani, S.H.*, et al.
    Piezoresistivity and mechanical properties of self-sensing CNT cementitious nanocomposites: Optimizing the effects of CNT dispersion and surfactants.
    Construction and Building Materials, Q1, JCR.
  4. Hosseini Lavassani, S.H.*, et al.
    Active control of high-rise building structures using fuzzy logic and genetic algorithms.
    Engineering Structures, Q1, JCR.
  5. Hosseini Lavassani, S.H.*, et al.
    Flutter control of truss-type suspension bridges with a tuned mass damper based on the mass polar moment of inertia’s optimum configuration.
    Engineering Structures, Q1, JCR.
  6. Hosseini Lavassani, S.H.*, et al.
    Sensor fault detection and signal reconstruction in SHM systems for super-tall buildings.
    Structures, Q1, JCR.
  7. Hosseini Lavassani, S.H.*, et al.
    Damage localization based on dynamic response of bending frames using convolutional neural networks.
    Amirkabir Journal of Civil Engineering, Q1, JCR.
  8. Hosseini Lavassani, S.H.*, et al.
    Vibration control of suspension bridges due to vertical ground motions.
    Advanced Structural Engineering, Q3, JCR.
  9. Hosseini Lavassani, S.H.*, et al.
    Feature selection and response prediction on a suspension bridge due to wind effect by machine learning.
    Structures, Q1, JCR

Bin Liu, Engineering, Best Researcher Award

Dr. Bin Liu: Postdoctoral Fellow at The University of Hong Kong

Dr. Liu Bin is a dedicated researcher and academic specializing in sustainable infrastructure, water resource management, and urban resilience. Currently serving as a Postdoctoral Fellow at The University of Hong Kong, Dr. Liu combines his expertise in civil engineering, hydraulics, and environmental planning to develop innovative solutions for water security and ecosystem management. His contributions to the field are supported by his robust academic background and extensive experience in teaching and research.

Online Profiles

Dr. Bin Liu has made significant contributions to the field of civil and environmental engineering, with a citation count of 147, an h-index of 6, and an i10-index of 5. These metrics highlight the growing impact of his research, particularly in sustainable infrastructure, water resource management, and systems modeling for urban resilience. His work is increasingly recognized for its relevance in addressing key challenges in infrastructure sustainability and water security, positioning him as a leading researcher in his field.

Education

Dr. Liu Bin holds a Ph.D. in Civil Engineering Planning and Management from Central South University, China, where he achieved an impressive GPA of 3.7/4. His education also includes a Joint Ph.D. Program at Nanyang Technological University, Singapore, in Civil and Environmental Engineering, and a Master’s in Hydraulics and River Dynamics from Zhejiang University, China. His undergraduate studies were in Water Supply and Sewerage Engineering at Anhui University of Technology, China.

Research Focus

Dr. Liu’s research is deeply rooted in sustainable infrastructure development, focusing on the assessment and modeling of urban resilience, water cycle management, and the implementation of systems for water security. His work addresses the challenges of urban planning in the context of climate change and environmental degradation, particularly in developing efficient water management systems for resilient infrastructure.

Experience

Dr. Liu Bin’s career spans academia and industry. He is currently a Postdoctoral Fellow at The University of Hong Kong, where he works under the supervision of Prof. Wei Pan. Prior to this, he taught as a Lecturer at Changsha University of Science and Technology, where he delivered courses on water resources management and environmental infrastructure planning. His experience as a Research Engineer at Hunan Hydro & Power Design Institute involved leading projects in water resources planning, flood modeling, and river management.

Research Timeline

2024-Present: Postdoctoral Fellow at The University of Hong Kong, contributing to the development of sustainability tools for infrastructure.

2022-2023: Lecturer at Changsha University of Science and Technology, teaching engineering economics and feasibility analysis.

2019-2021: Research Engineer at Hunan Hydro & Power Design Institute, specializing in flood and water resources management.

2011-2012: Teaching Assistant at Zhejiang University, involved in teaching fluid dynamics and environmental surveying.

Awards & Honors

Dr. Liu Bin has received numerous accolades, such as the Chinese Government Award for Outstanding Students Abroad (2020), graduation with honors from Central South University (2022), and the Excellent Reviewer Award from Hydro Science & Marine Engineering (2020). These recognitions highlight his contributions to both academia and the broader research community.

Top-Noted Publications

Dr. Bin Liu’s research has led to several notable publications, focusing on sustainable water management, environmental engineering, and the resilience of water systems. Some of his key works include:

“Climate-driven runoff variability in semi-mountainous reservoirs of the Vietnamese Mekong Delta: Insights for sustainable water management” (2024) – A study exploring the impact of climate on water systems in the Vietnamese Mekong Delta, aiming to enhance sustainable water management practices.

“Real-time correction of channel-bed roughness and water level in river network hydrodynamic modeling for accurate forecasting” (2023) – This research focuses on improving the accuracy of river network models by addressing real-time corrections for channel-bed roughness and water levels, vital for forecasting.

“Provincial resilience differences of water cycle in China over the past two decades” (2024) – This study examines the variability in resilience to changes in the water cycle across different provinces of China, providing valuable insights into regional water security.

“The Impact of River Sand Mining on Aquatic Ecological Environment: A Case Study of the Lishui River” (2024) – An investigation into how river sand mining affects aquatic ecosystems, highlighting the need for more sustainable practices in resource extraction.

“Evaluation Method of Rural Revitalization Boosted by Water Conservancy” (2024) – This paper discusses methods to integrate water conservancy into rural revitalization efforts, promoting sustainable development in rural areas.

“The impact of sand mining on embankment safety: A case of the Xiangjiang River tail section” (2024) – This research evaluates how sand mining practices affect the stability of embankments, a critical issue for flood risk management.

Vinícius Urbano, Biology, Young Researcher Award

Prof. Vinícius Urbano: Master Student at UFLA, Brazil

Dr. Shuangyin Zhang’s innovative work focuses on utilizing cutting-edge technologies like hyperspectral imaging and deep learning for sustainable environmental solutions. His research addresses critical challenges such as carbon neutrality assessments, water resource management, and agricultural pollution control, earning him a prominent role in academia and industry.

Online Profiles

Scopus Profile

Vinícius De Andrade Urbano is affiliated with the Universidade Estadual de Maringá, Maringá, Brazil, where he contributes to advancing academic research. With an h-index of 1, his work has garnered citations from three documents across five publications, showcasing his growing impact in his field. Urbano is actively building his research profile, integrating his expertise through platforms like ORCID and Mendeley for broader academic recognition and collaboration.

Education

With a Ph.D. from Wuhan University in Photogrammetry and Remote Sensing, Dr. Zhang combined rigorous academic training with real-world problem-solving. His Master’s in Surveying and Mapping Engineering and undergraduate studies in Cartography further solidified his expertise in geospatial technology and environmental systems.

Research Focus

Dr. Zhang’s research portfolio spans diverse areas, including carbon sequestration in wetlands, rapid water depth assessment under extreme climatic events, and the use of hyperspectral imaging to detect and manage heavy metal contamination in agriculture. His multidisciplinary approach drives impactful solutions.

Experience

In his leadership role at the Changjiang River Scientific Research Institute, Dr. Zhang oversees large-scale projects that integrate advanced geospatial methodologies with practical applications. His efforts in carbon storage and contamination monitoring have been pivotal in shaping sustainable resource management practices.

Research Timeline

Recent research highlights include his groundbreaking study from 2023–2026 on carbon neutrality in the Three Gorges Reservoir. During 2021–2024, he focused on developing hyperspectral imaging techniques for agricultural contamination, building on his doctoral research (2018–2022) in geospatial modeling and environmental monitoring.

Awards & Honors

Dr. Zhang’s accolades underscore his academic and professional excellence. Recognitions like the Yugang·Songxiao Scholarship, the Outstanding Graduate Award at Wuhan University, and multiple scholarships for academic distinction are a testament to his dedication and achievements.

Top-Noted Publications

Among Dr. Zhang’s notable works, “Rapid Water Depth Monitoring Using Deep Learning” (Remote Sensing, 2024) and “Heavy Metal Stress Detection in Rice Canopies” (Sensors, 2019) stand out for their methodological innovations and practical impact on environmental sustainability.

  • Anthropogenic Land Uses Lead to Changes in Limnological Variables in Neotropical Streams
    Co-authored with B.B. Contieri, J. Rosa, M.M.R. Scoarize, and E. Benedito, this 2024 article, published in Environmental Monitoring and Assessment (196(8), 702), examines how human activities influence key limnological parameters in Neotropical stream ecosystems.
    Citations: 1
  • Determinant Variables on the Isotopic Values of Particulate Organic Matter in a Neotropical Floodplain
    Published in Journal of Oceanology and Limnology (2024, 42(4), pp. 1173–1185), this work explores isotopic shifts in particulate organic matter within floodplain environments. Co-authors include G. Henrique Zaia Alves, M. Maximilian Ratz Scoarize, and M. da Silva Caetano.
  • Dams and Agricultural Lands Affect Energy Sources and the Trophic Position of Fish in a Floodplain
    This open-access article, featured in Neotropical Ichthyology (2024, 22(3), e230084), investigates the dual impacts of dam construction and agricultural practices on fish ecology in floodplain habitats. It was co-authored with D. Delanira-Santos, M.M.R. Scoarize, and E. Benedito.
  • Diet-Tissue Discrimination Factors of Three Neotropical Freshwater Fishes and a Comparison of the Trophic Position
    Featured in Journal of Limnology (2023, 82), this study provides insights into the trophic dynamics of Neotropical freshwater fish species. The article was co-authored with G.I. Manetta, M.M.R. Scoarize, D. Delanira-Santos, and E. Benedito.
    Citations: 1
  • The Role of Cladocerans in Green and Brown Food Web Coupling
    Published in Iheringia – Série Zoologia (2022, 112, e2022022), this open-access article examines the ecological significance of cladocerans in linking green and brown food webs. Co-authored with D. Delanira-Santos and E. Benedito.
    Citations: 2

Jianxiong Hao, Engineering, Best Researcher Award

Dr. Jianxiong Hao: Student at Tianjin University, China

Jianxiong Hao is a researcher specializing in the development of shape and force perception and control technologies for continuum and soft robots. Currently pursuing his Master’s and Doctoral degrees in Mechanical Engineering at Tianjin University, he has contributed significantly to medical robotic systems, particularly focusing on soft manipulators used in surgery. Hao’s work addresses key challenges such as accurate shape and force feedback, adaptive control, and the application of machine learning techniques to improve the performance and versatility of these robots. His research is pushing the boundaries of robotics, offering promising solutions for complex, real-world applications.

Online Profiles

Scopus Profile

Research Metrics

Jianxiong Hao is a researcher at Tianjin University, China, with a focus on continuum and soft robotics, particularly in the areas of shape and force perception and control. Hao has contributed significantly to the field with 40 documents cited 44 times, showcasing his impact in robotics research. His work has been featured in high-impact journals, with notable publications on topics such as shape estimation, force sensing, and adaptive control for medical robots. Hao’s contributions continue to influence the development of advanced robotics systems, particularly those used in medical applications. His h-index of 5 reflects his growing academic presence and the significance of his research.

Education

Jianxiong Hao completed his Bachelor’s degree in Machine Design, Manufacture, and Automation at Tianjin University in June 2020. He is currently enrolled in the Master’s and Doctoral program in Mechanical Engineering at Tianjin University, where his research focuses on continuum and soft robots. His academic journey has been shaped by a deep interest in robotics, control systems, and machine learning, positioning him as a rising expert in the field of soft robotics with applications in medical and industrial settings.

Research Focus

Hao’s research is focused on the development of advanced shape and force perception and control systems for continuum and soft robots. He aims to solve key challenges in medical robotics, including achieving accurate shape and force feedback and improving control stability and adaptability in complex, unstructured environments. His work incorporates model-free adaptive control methods, machine learning techniques, and multi-sensing systems to enhance the robustness of continuum manipulators. These innovations hold significant potential for advancing medical technologies, particularly in surgery and rehabilitation.

Experience

Hao has participated in several high-profile research projects during his academic career. Notably, he was a major participant in the Rigid-Flexible Coupled Endoscopic Surgical Robot project, which was supported by the National Natural Science Foundation of China. In this project, he worked on developing methods for shape and force sensing in medical continuum robots. Hao’s research has also contributed to the development of flexible sensors and control algorithms for soft robots, including the Ultrasensitive Sensing for Biological Gas-Liquid-Electrical Signals project. His diverse experience in robotics research has led to significant advancements in control technologies and sensory systems.

Research Timeline

Hao’s research timeline began with his Bachelor’s degree in Machine Design, Manufacture, and Automation at Tianjin University from 2016 to 2020. Following this, he pursued his Master’s and Doctoral studies, with his research primarily focused on continuum and soft robots. From 2020 onward, Hao’s work has centered around advanced control algorithms, shape and force estimation, and adaptive systems for medical robots. His involvement in key projects, such as the endoscopic surgical robot and flexible surgical instruments, has been pivotal in developing practical solutions for real-world applications in robotics.

Awards & Honors

Hao has received numerous accolades for his research contributions. Notably, he was recognized on the cover issue of Advanced Intelligent Systems in 2023 for his work on soft robotics shape estimation. He has also been acknowledged as the first author in prestigious journals like IEEE Transactions on Medical Robotics and Bionics and IEEE Sensors Journal. Additionally, Hao has earned multiple merit-based scholarships and awards for his academic excellence, further cementing his reputation as a promising researcher in the field of robotics.

Top-Noted Publications

  • Curvature Estimation of Soft Grippers Based on a Novel Highly Stretchable Strain Sensor With Worm-Surface-Like Microstructures
    • Authors: Yan, L., Hao, J., Zhang, Z., Yang, H., Shi, C.
    • Journal: IEEE Sensors Journal, 2024, 24(4), pp. 4246–4257
    • Citations: 1
  • Desmoking of the Endoscopic Surgery Images Based on A Local-Global U-Shaped Transformer Model
    • Authors: Wang, W., Liu, F., Hao, J., Zhang, B., Shi, C.
    • Journal: IEEE Transactions on Medical Robotics and Bionics, 2024 (Article in Press)
    • Citations: 0
  • An Occlusion Removal Approach for Surgical Instruments Based on the Optical Flow-Guided Models
    • Authors: Wang, W., Liu, F., Hao, J., Shi, C.
    • Conference: 2024 IEEE International Conference on Mechatronics and Automation, ICMA 2024, pp. 1532–1537
    • Citations: 0
  • An Operating Stiffness Controller for the Medical Continuum Robot Based on Impedance Control
    • Authors: Duan, J., Zhang, K., Qian, K., Hao, J., Zhang, Z., Shi, C.
    • Journal: Cyborg and Bionic Systems, 2024, 5, 0110
    • Citations: 4
  • Inverse Kinematic Modeling of the Tendon-Actuated Medical Continuum Manipulator Based on a Lightweight Timing Input Neural Network
    • Authors: Hao, J., Duan, J., Wang, K., Hu, C., Shi, C.
    • Journal: IEEE Transactions on Medical Robotics and Bionics, 2023, 5(4), pp. 916–928
    • Citations: 6

Feng Yuan, International Relations, Best Researcher Award

Dr. Feng Yuan – PhD Candidate at Ocean University of China, China

Yuan Feng is a highly motivated Ph.D. candidate at the School of International Affairs and Public Administration, Ocean University of China. His academic journey reflects a deep commitment to advancing knowledge in maritime security, ocean governance, and the Law of the Sea. Yuan has made significant contributions to addressing complex global challenges in marine policy, with his research focusing on innovative legal and governance solutions to ensure sustainable use and protection of marine resources. His academic pursuits are complemented by a series of impactful publications that influence policy and practice in ocean sustainability.

Online Profiles

Scopus Profile

  • Research Metrics

Feng Yuan has made a significant impact in his academic field, with a total of 647 citations across 62 documents. His scholarly work is widely recognized, as reflected by his h-index of 13, which indicates that at least 13 of his publications have been cited 13 times or more. This demonstrates his consistent contribution to his field and the relevance of his research in the academic community.

Education

Yuan Feng has a robust academic background, combining diverse fields of study to support his interdisciplinary research. He is currently enrolled in a Ph.D. program in Ocean Sustainable Development at Ocean University of China and is simultaneously pursuing a visiting Ph.D. fellowship at the National University of Singapore, specializing in the Law of the Sea. Yuan earned a Master of Laws in International Politics from Ocean University of China, and he holds dual undergraduate degrees in International Economics and Trade and Accounting from Southwest University. His academic progression showcases his dedication to blending legal, economic, and environmental perspectives in his research.

Research Focus

Yuan Feng’s research interests span critical areas of maritime studies, including maritime security, ocean governance, and the application of international law to emerging challenges in marine policy. He has explored regulatory issues surrounding unmanned underwater vehicles, highlighting their implications for maritime military operations and cyber security. His work also focuses on regional and global maritime security cooperation frameworks, particularly in the Asia-Pacific, as well as tackling the environmental and legal challenges of marine microplastic pollution. His research is driven by a goal to create actionable solutions for enhancing ocean sustainability and governance.

Experience

With a strong foundation in legal and policy analysis, Yuan Feng has been actively involved in research initiatives addressing some of the most pressing issues in maritime affairs. He has collaborated on projects that tackle the complexities of international security, environmental governance, and marine sustainability, working alongside experts from various disciplines. His work on Asia-Pacific maritime security cooperation and the governance of unmanned underwater vehicles has been particularly influential, bridging gaps between legal theory and practical maritime security measures. Yuan’s experience reflects a blend of rigorous scholarship and a commitment to impactful solutions.

Research Timeline

Yuan Feng’s academic and research timeline demonstrates a consistent focus on advancing maritime governance and policy. Since 2024, he has been conducting specialized research on the Law of the Sea as a visiting Ph.D. candidate at the National University of Singapore, where he collaborates with experts in international law. From 2022, he has been pursuing his doctoral studies at Ocean University of China, with a focus on ocean sustainability and governance. Prior to this, he completed a Master’s degree in International Politics, where he began addressing the intricacies of marine policy and its intersection with global politics. His undergraduate studies provided a foundation in economics and management, equipping him with a multidisciplinary perspective crucial to his research endeavors.

Awards & Honors

Yuan Feng has been recognized for his academic excellence and dedication to advancing maritime studies through several awards and honors. Throughout his academic journey, he has received scholarships and research accolades for his contributions to the fields of maritime law and ocean governance. His work has been acknowledged at both national and international levels, underscoring its significance in addressing global maritime challenges. Yuan’s achievements reflect his ability to bridge academic rigor with real-world impact, making him a respected voice in maritime studies.

Top-Noted Publications

  • Article: Navigating uncharted waters: Legal challenges and the future of unmanned underwater vehicles in maritime military cyber operations
    Liu, C., Feng, Y.
    Marine Policy, 2025, 171, 106430
  • Article: Integrative analyses on the ciliates Colpoda illuminate the life history evolution of soil microorganisms
    Li, H., Wu, K., Feng, Y., Lynch, M., Long, H.
    mSystems, 2024, 9(6)
  • Conference Paper: Asia-Pacific maritime security cooperation: Challenges and opportunities
    Jin, Y., Feng, Y.
    Marine Policy, 2024, 160, 105942
    (Citations: 1)
  • Conference Paper: Halveformer: A Novel Architecture Combined with Linear Models for Long Sequences Time Series Forecasting
    Feng, Y., Xia, K., Qu, X., Sun, L., Zhang, Z.
    Proceedings of the International Joint Conference on Neural Networks, 2024
  • Conference Paper: Time domain convolutional network ocean surface temperature prediction model based on multi-feature fusion attention mechanism
    Song, S., Feng, Y.
    Proceedings – 2024 International Conference on Cloud and Network Computing, ICCNC 2024, pp. 101–108

Contribution to Ocean Governance

Yuan Feng’s research contributions have played a pivotal role in advancing the discourse on ocean governance, particularly in the areas of maritime security and environmental sustainability. His work addresses critical gaps in the legal and policy frameworks governing marine resources, offering innovative solutions for challenges like cyber operations in maritime contexts and global efforts to reduce marine pollution. Through his publications and collaborations, Yuan has influenced both academic thought and policy-making, demonstrating a strong commitment to the sustainable management of marine ecosystems.

Future Goals

As Yuan Feng continues his academic and research journey, he aspires to deepen his contributions to the fields of ocean governance and maritime law. His future goals include developing comprehensive legal frameworks to address emerging maritime challenges, fostering international cooperation in ocean sustainability, and mentoring the next generation of scholars and policymakers in maritime affairs. By bridging theoretical insights with actionable solutions, Yuan aims to leave a lasting impact on global efforts to protect and sustainably utilize the world’s oceans.

Zeyu Zhang, Engineering, Best Researcher Award

Prof. Dr. Zeyu Zhang: Professor at Wuhan University of Technology, China

Dr. Shuangyin Zhang is a distinguished researcher at the Changjiang River Scientific Research Institute, Changjiang Water Resources Committee, Wuhan, China. His expertise spans remote sensing, environmental monitoring, and sustainable resource management, focusing on addressing critical challenges such as carbon neutrality, agricultural contamination, and water depth monitoring. Leveraging advanced technologies like photogrammetry and hyperspectral imaging, Dr. Zhang bridges cutting-edge science with practical environmental solutions, making significant contributions to global sustainability efforts.

Online Profiles

Scopus Profile

Research Metrics:

  • Citations: 1,315 across 1,074 documents
  • Publications: 48
  • h-index: 22

Zeyu Zhang is a prolific researcher affiliated with the Wuhan University of Technology, contributing significantly to his field with a notable h-index of 22 and over 1,300 citations. With a robust portfolio of 48 publications, his work demonstrates widespread academic influence.

Education

Dr. Zhang’s academic foundation is rooted in excellence, with a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2018–2022), where he specialized in geospatial modeling for environmental monitoring. He also holds an M.S. in Surveying and Mapping Engineering (2016–2018) from the same institution and a B.S. in Cartography and Geographic Information Systems from Chongqing Jiaotong University (2011–2015).

Research Focus

Dr. Zhang’s research encompasses carbon neutrality assessments in ecosystems like the Yangtze River Basin, rapid water depth monitoring under extreme climate events, and innovative applications of hyperspectral imaging to detect and mitigate heavy metal contamination in agricultural systems. His work emphasizes integrating advanced technologies for environmental sustainability.

Experience

Dr. Zhang leads impactful research initiatives funded by prestigious organizations, including the Ministry of Water Resources of China. His contributions span evaluating carbon storage in alpine wetlands, optimizing grassland carrying capacities, and developing rapid water depth monitoring systems to address environmental crises effectively.

Research Timeline

Between 2023 and 2026, Dr. Zhang has focused on estimating the carbon neutrality benefits of the Three Gorges Reservoir and investigating carbon storage in alpine wetlands. From 2021 to 2024, he has pioneered advancements in hyperspectral imaging for agricultural contamination detection. His doctoral research (2018–2022) laid the groundwork for innovative geospatial applications in environmental monitoring.

Awards & Honors

Dr. Zhang’s exemplary work has been recognized with numerous accolades, including the Outstanding Graduate Award (Top 5%) from Wuhan University (2022) and the Yugang·Songxiao Scholarship (2020). He has consistently earned first-class scholarships and excellence awards throughout his academic and research career, reflecting his commitment to excellence.

Top-Noted Publications

  • “A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+”
    • Authors: Li, F., Mou, Y., Zhang, Z., Liu, Q., Jeschke, S.
    • Published in: Engineering Applications of Artificial Intelligence, 2024, 137, 109175
    • Citations: 1
    • Overview: Introduces a cutting-edge model utilizing multi-level attention DeepLabV3+ for precise segmentation of pavement distress.
  • “Time-domain expression and mechanical response of the viscoelastic Poisson’s ratio in asphalt pavement”
    • Authors: Yang, T., Zhang, Z., Shen, D., Yu, X., Luo, R.
    • Published in: Construction and Building Materials, 2024, 446, 138059
    • Citations: 0
    • Overview: Explores the viscoelastic Poisson’s ratio in asphalt pavements, offering insights into time-domain mechanics.
  • “Self-Sensing Stress-Absorption Layer with Carbon Nanotubes Grafted onto Basalt Fibers”
    • Authors: Liu, Y., Zhang, Z., Liu, X., Tang, C., Wu, X.
    • Published in: Journal of Materials in Civil Engineering, 2024, 36(2), 04023571
    • Citations: 0
    • Overview: Discusses the development of innovative self-sensing stress-absorption layers using advanced nanotechnology.
  • “Resource utilization and development of phosphogypsum-based materials in civil engineering” (Review)
    • Authors: Qin, X., Cao, Y., Guan, H., Zhang, Z., Luo, R.
    • Published in: Journal of Cleaner Production, 2023, 387, 135858
    • Citations: 85
    • Overview: A comprehensive review of the sustainable development and application of phosphogypsum-based materials.
  • “Automatic asphalt layer interface detection and thickness determination from ground-penetrating radar data”
    • Authors: Wang, S., Leng, Z., Zhang, Z., Sui, X.
    • Published in: Construction and Building Materials, 2022, 357, 129434
    • Citations: 12
    • Overview: Proposes a method for detecting asphalt layer interfaces and measuring thickness using ground-penetrating radar data.

Prof. Dr. Zeyu Zhang is a highly accomplished researcher at Wuhan University of Technology, China, known for his significant contributions to the fields of geospatial modeling, remote sensing, and environmental monitoring. His work has garnered over 1,300 citations and an h-index of 22, reflecting his widespread academic influence and impactful research. Below are five key strengths that make Prof. Dr. Zhang an exceptional candidate for the Best Researcher Award:

Prolific Publication Record: Prof. Dr. Zhang has published 48 research papers, demonstrating his ability to produce high-quality, impactful work that contributes to the advancement of science and technology. His research covers a range of crucial topics, including remote sensing, environmental sustainability, and innovative geospatial applications.

Expertise in Environmental Sustainability: His research focuses on carbon neutrality assessments, water depth monitoring during extreme climatic events, and the application of hyperspectral imaging to detect heavy metal contamination. These areas are of global importance, as they address pressing environmental challenges and contribute to sustainability efforts.

Innovative Research Methodologies: Prof. Dr. Zhang has pioneered new techniques in remote sensing and geospatial modeling, integrating advanced technologies such as hyperspectral imaging and deep learning for environmental monitoring. His innovative approach to detecting agricultural contamination and assessing carbon storage is a testament to his scientific creativity.

Leadership in High-Impact Projects: Prof. Dr. Zhang has led influential research initiatives funded by major organizations such as the Ministry of Water Resources of China. His work on carbon storage in alpine wetlands and rapid water depth monitoring systems has made significant contributions to global efforts in environmental conservation and crisis management.

Recognition and Honors: Prof. Dr. Zhang has received numerous awards, including the Outstanding Graduate Award from Wuhan University and multiple first-class scholarships. These accolades underscore his dedication to excellence and the recognition he has earned from the academic community.

Shuangyin Zhang, Environmental Science, Innovative Researcher Award

Dr. Shuangyin Zhang: Project Leader at Changjiang River Scientific Research Institute, Changjiang Water Resources Committee, China

Shuangyin Zhang is an accomplished researcher specializing in remote sensing, environmental monitoring, and sustainable resource management. Currently working at the Changjiang River Scientific Research Institute under the Changjiang Water Resources Commission in Wuhan, China, Zhang addresses critical environmental challenges such as carbon neutrality, agricultural contamination, and water depth monitoring. With a strong background in photogrammetry and hyperspectral imaging, his research bridges advanced technologies and practical environmental solutions, earning him recognition in academia and beyond.

Online Profiles

ORCID Profile

Scopus Profile

Dr. Shuangyin Zhang, currently associated with the Changjiang Water Resources Commission in Wuhan, China, has made significant contributions to environmental research, particularly in remote sensing and environmental monitoring. His work has been highly recognized, reflected in 66 citations across 59 documents, and an h-index of 9.

His expertise is demonstrated through numerous publications in prestigious journals, including work on water depth estimation, heavy metal contamination detection in soil and crops, and resource management optimization. These contributions highlight his significant role in advancing environmental sustainability and technological innovations in resource management.

Dr. Zhang’s innovative approach positions him as a leading researcher in his field and a strong candidate for awards in environmental science and sustainability.

Education

Shuangyin Zhang has built a robust academic foundation in the fields of photogrammetry and environmental science. He earned his Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2018–2022), where he focused on applying hyperspectral imaging for environmental and agricultural sustainability. He also holds an M.S. in Surveying and Mapping Engineering (2016–2018) from the same institution, emphasizing geographic information systems and resource management. His undergraduate studies in Cartography and Geographic Information Systems were completed at Chongqing Jiaotong University (2011–2015), where he gained essential skills in spatial analysis and environmental mapping.

Research Focus

Shuangyin Zhang’s research revolves around leveraging cutting-edge technologies for solving complex environmental issues. His primary areas of focus include carbon neutrality assessments in regions like the Yangtze River Basin, rapid water depth monitoring under extreme climatic events, and the application of hyperspectral imaging to detect and mitigate heavy metal contamination in agricultural systems. By combining advanced data analysis methods with practical solutions, Zhang’s work contributes to global efforts in environmental sustainability and resource optimization.

Experience

With extensive experience in environmental research and project management, Shuangyin Zhang has made significant contributions to high-profile projects funded by esteemed institutions such as the Ministry of Water Resources of China and the Sanjiangyuan Ecological Protection Foundation. His projects include evaluating carbon storage in alpine wetlands, optimizing grassland carrying capacity using hyperspectral satellite data, and developing rapid monitoring systems for water depth during extreme weather events. Zhang’s multidisciplinary approach and technical expertise enable him to address diverse environmental challenges effectively.

Research Timeline

Shuangyin Zhang’s research journey spans several impactful milestones. Between 2023 and 2026, he has led groundbreaking projects such as estimating carbon neutrality benefits of the Three Gorges Reservoir and investigating carbon storage in alpine wetlands. From 2021 to 2024, his work on agricultural contamination detection through hyperspectral imaging has advanced sustainable farming practices. His doctoral research from 2018 to 2022 laid the foundation for his expertise in geospatial modeling and its applications in environmental monitoring.

Awards & Honors

Shuangyin Zhang’s academic and professional excellence has been recognized through multiple awards and scholarships. He was honored as an Outstanding Graduate (Top 5%) by Wuhan University in 2022 and received the Yugang·Songxiao Scholarship (Top 20 students) in 2020. His achievements also include a First-Class Scholarship (2020) and the title of Excellent Student multiple times throughout his academic career. These accolades reflect his dedication to advancing research and contributing to environmental science.

Top-Noted Publication

Among Shuangyin Zhang’s many influential works, his publication titled “VNIR Estimation of Heavy Metals Concentrations in Suburban Soil with Multi-Scale Geographically Weighted Regression,” published in Catena (2022), stands out as a top contribution. This paper presents an innovative method for assessing heavy metal contamination in soil using hyperspectral imaging and advanced regression models. Widely cited and highly impactful, this work highlights Zhang’s ability to address critical environmental challenges with cutting-edge technology.

  • Estimating Water Depth of Different Waterbodies Using Deep Learning Super Resolution from HJ-2 Satellite Hyperspectral Images (Remote Sensing, 2024)
    • This paper highlights Zhang’s use of deep learning to improve water depth estimation from satellite data, showcasing his contribution to advanced remote sensing techniques for environmental monitoring.
  • Identifying Cadmium and Lead Co-accumulation from Living Rice Blade Spectrum (Environmental Pollution, 2023)
    • In this research, Zhang developed methods to detect the accumulation of toxic metals like cadmium and lead in rice plants, addressing important agricultural sustainability issues.
  • Optimization of Pricing System for the Inventory of Grassland Resource Assets Based on Intelligent Zoning (Resources Science, 2023)
    • This paper explores innovative methods for resource management, focusing on grassland assets and pricing optimization using intelligent zoning.
  • VNIR Estimation of Heavy Metals Concentrations in Suburban Soil with Multi-Scale Geographically Weighted Regression (Catena, 2022)
    • Zhang applied spectral analysis to estimate heavy metal concentrations in soil, a critical step for environmental monitoring and pollution control.
  • Estimating Cadmium-Lead Concentrations in Rice Blades through Fractional Order Derivatives of Foliar Spectra (Biosystems Engineering, 2022)
    • This work focuses on advanced methods to detect heavy metal contamination in rice crops, contributing to food safety and agricultural practices.

Dr. Shuangyin Zhang’s innovative approach to solving environmental challenges makes him a strong candidate for the Innovative Researcher Award. His work demonstrates a unique blend of cutting-edge technology, environmental sustainability, and resource management optimization.

  • Advanced Use of Hyperspectral Imaging
    Dr. Zhang has pioneered the use of hyperspectral imaging for detecting and mitigating environmental issues such as agricultural contamination. His research on estimating heavy metals in soil and crops using multi-scale geographically weighted regression (Catena, 2022) has been widely cited, demonstrating his expertise in leveraging advanced technology for environmental monitoring.
    Citation: “VNIR Estimation of Heavy Metals Concentrations in Suburban Soil with Multi-Scale Geographically Weighted Regression” (Catena, 2022).
  • Innovative Environmental Monitoring Techniques
    Dr. Zhang’s research on water depth monitoring using satellite hyperspectral images and deep learning models (Remote Sensing, 2024) is groundbreaking. This innovative approach to using deep learning for water depth estimation has helped advance the field of environmental monitoring, particularly in extreme climatic events.
    Citation: “Estimating Water Depth of Different Waterbodies Using Deep Learning Super Resolution from HJ-2 Satellite Hyperspectral Images” (Remote Sensing, 2024).
  • Carbon Neutrality and Sustainability Contributions
    Dr. Zhang has led significant projects focused on carbon neutrality, such as estimating the carbon storage benefits of the Three Gorges Reservoir and alpine wetlands. His research in carbon neutrality assessments is a critical contribution to global sustainability goals.
    *Citation: Numerous citations for projects on carbon neutrality assessments and carbon storage.
  • Multidisciplinary Approach to Environmental Resource Management
    Dr. Zhang’s work on optimizing grassland resource management using intelligent zoning and pricing systems (Resources Science, 2023) showcases his ability to integrate spatial data analysis with economic optimization. His approach offers a solution to balance resource conservation with economic efficiency.
    Citation: “Optimization of Pricing System for the Inventory of Grassland Resource Assets Based on Intelligent Zoning” (Resources Science, 2023).
  • Highly Cited and Influential Publications
    Dr. Zhang’s work has earned him over 66 citations and an h-index of 9, with several influential papers in high-impact journals. His contributions to environmental sustainability, agricultural contamination detection, and remote sensing techniques have made a lasting impact in his field.
    Citation: Multiple influential publications, including “Estimating Cadmium-Lead Concentrations in Rice Blades through Fractional Order Derivatives of Foliar Spectra” (Biosystems Engineering, 2022).