Yihang Zhong | Research Excellence | Best Researcher Award

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Mr. Yihang Zhong | Research Excellence | Best Researcher Award

Chinese University of Hong Kong | China

Jimmy (Yihang Zhong) is an emerging scholar in linguistics and psycholinguistics whose research bridges theoretical inquiry and experimental practice. His work focuses on first and second language acquisition, morpho-syntactic and semantic processing, and the cognitive mechanisms underlying language in both typical and atypical populations. With publications in leading SSCI and Scopus-indexed journals, ongoing high-impact peer-reviewed submissions, and international conference presentations, he has already established a strong academic presence early in his career. His training across Hong Kong, Australia, and China, combined with hands-on experience in neurolinguistics and fMRI research at Shenzhen University, demonstrates his interdisciplinary expertise and global outlook. Complemented by technical proficiency, translation skills, and active science communication, Jimmy stands out as a promising researcher contributing meaningfully to the advancement of cognitive and linguistic sciences.

Profile: Orcid

Featured Publications

“Asperger writers’ attention and awareness in written production”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Effects of syntactic role on L1 & L2 processing of pronoun resolution”

“From generative hierarchicality to parallel-dialogic syntax: Modeling typological protolanguage”

“L2 cognitive construal & morpho-syntactic acquisition of pseudo-passive construction”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Can the Galilean ideal of formal linguistics be sustained?”

Rohan Samir Kumar Sachan | Nanotechnology Innovations | Best Researcher Award

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Dr. Rohan Samir Kumar Sachan | Nanotechnology Innovations | Best Researcher Award

CGC University | India

Dr. Rohan Samir Kumar Sachan is an accomplished researcher and academic specializing in microbiology, with a strong focus on sustainable biotechnology and microbial applications. With a Ph.D. in Microbiology from Lovely Professional University, he has contributed extensively to advancing eco-friendly bioplastic production, bio-cement research, and nanobiotechnology. His prolific publication record in reputed international journals, copyright registrations, and active role as a peer reviewer for leading publishers highlight his scientific credibility and research impact. Beyond research, he has gained valuable teaching experience as an Assistant Professor and demonstrated excellence in academic leadership, communication, and interdisciplinary collaboration. His achievements in competitive exams (NET, GATE), conference presentations, and international certifications reflect his commitment to continuous learning and global engagement. Fluent in multiple languages and skilled in advanced data analysis and visualization tools, Dr. Sachan combines technical expertise with innovation, making him a promising scientist and educator dedicated to addressing environmental and biomedical challenges through microbiological research.

Profile: Google Scholar 

Featured Publications

“Gold nanoparticles in nanobiotechnology: from synthesis to biosensing applications”

“Overcoming Mycobacterium tuberculosis Drug Resistance: Novel Medications and Repositioning Strategies”

“Plant-mediated gold nanoparticles in cancer therapy: Exploring anti-cancer mechanisms, drug delivery applications, and future prospects”

“Valorization of sugar extracted from wheat straw for eco-friendly polyhydroxyalkanoate (PHA) production by Bacillus megaterium MTCC 453”

“A review on clinical manifestation and treatment regimens of UTI in diabetic patients”

“Optimizing Polyhydroxyalkanoate production using a novel Bacillus paranthracis isolate: a response surface methodology approach”

“Narrative-based misinformation in India about protection against COVID-19: not just another “moo-point”

“Advancement in cheese production technology”

“Chitosan in wound healing: a mini review on ethical perspective on sustainable and biomedical biomaterials”

“Nanotechnology in environmental clean-up”

“Biochemical and molecular mechanism of wheat to diverse environmental stressesc”

Satyanarayana | Material Science | Best Researcher Award

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Dr. G.R. Satyanarayana | Material Science | Best Researcher Award

Sir C R Reddy College | Eluru | India

Dr. G. R. Satyanarayana is an accomplished Professor of Chemistry and Director of the Research Development Cell at Sir C.R. Reddy College (Autonomous), Eluru. With more than two decades of postgraduate teaching and research experience, he has built a strong reputation as a scholar, mentor, and innovator. His academic journey, spanning M.Sc., M.Phil., Ph.D., and MDCA qualifications, reflects his deep commitment to both science and technology. Over the years, he has made significant contributions in physical chemistry, nanomaterials, organic synthesis, molecular interactions, and analytical method development. His pioneering work in drug analysis using HPLC-MS and LCMS/MS has added value to pharmaceutical and bioanalytical research. He has published 9 documents, accumulating 28 citations and achieving an h-index of 2, contributing valuable insights to chemistry and interdisciplinary sciences. Alongside his publications, he has successfully registered or been granted six patents in India and the U.K., covering innovations in nanostructured sensors, catalysts, perovskite solar cells, green synthesis methods, and advanced capacitors. His ability to merge theoretical knowledge with practical applications demonstrates his strength in translational research. Beyond research, Dr. Satyanarayana has actively participated in 37 national and international conferences, seminars, workshops, and faculty development programmes, enriching both his own knowledge and that of the wider academic community. He has successfully completed seven funded minor research projects, showcasing his leadership in project execution and resource management. His role as a mentor has inspired countless students to pursue careers in research, while his collaborative approach has strengthened institutional research culture.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Probing the intermolecular interactions in the binary liquid mixtures of o-chlorophenol with alkoxyethanols through ultrasonic, transport and FT-IR spectroscopic studies”

“Viscometric study of molecular interactions in dimethyl carbonate + n-alkoxyethanol mixtures at different temperatures”

“Theories of ultrasonic velocities and their application in binary liquid mixtures of o-chlorophenol with some aliphatic esters at different temperatures”

“Theoretical Velocities and Viscosities of Binary Mixtures of Diethyl Malonate with Alkoxy Alkanols”

“Steric and electronic effects to interpret non-covalent interactions in binary mixtures of dimethyl carbonate and isomeric cresols through thermophysical, acoustic and …”

“Evaluation and comparative study of theoretical ultrasonic velocities in binary liquid mixtures of o-chloro phenol with alkoxyethanols at different temperatures and atmospheric pressure”

“The study of intermolecular interactions in [Bmim][PF6] + 1-octyl-2-pyrrolidone binary mixtures from volumetric, acoustic, optical and spectroscopic measurements”

“Thermo-Physical Studies on Molecular Interactions in Liquid Binaries of Diethyl Malonate with Isomeric Xylenes at Different Temperatures”

“A Comparative Analysis of Ultra Sound Velocity in Binary Mixtures of Diethyl Malonate with Branched Alkanols by Theoretical and Experimental Methods”

Jawhara El Hmidi | Structural Engineering | Women Researcher Award

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Ms. Jawhara El Hmidi | Structural Engineering | Women Researcher Award

Faculty of Sciences | Sidi Mohamed Ben Abdellah University | Morocco

EL HMIDI Jawhara, 27, is a Moroccan PhD candidate and engineer specializing in Embedded Systems and Industrial Computing. She is currently pursuing her doctorate at the SIGER Laboratory (FST & ENSA, Morocco), focusing on the architecture and optimization of intelligent embedded chargers for electric vehicles. Her academic journey began with a Scientific Baccalaureate in Mathematics (2015), followed by integrated preparatory classes (2015–2017) and an engineering degree in Embedded Systems and Industrial Informatics from ENSA Fez (2020). Professionally, she has gained significant experience as an Electrical/Electronic Architect at STELLANTIS (2020–2022), where she contributed to the design of REPAS vehicle functions, optimizing ECU wake-up/sleep modes and system power supply control. She also completed internships at LEAR Corporation, ALTEN, and CBGN, where she worked on ISO 26262 functional safety compliance, real-time monitoring tools, and industrial automation. In parallel with her research, she has established herself as a dedicated lecturer, teaching across Faculté des Sciences et Techniques de Fès, Euro-Mediterranean University of Fez, and the Private University of Fez. She has taught courses such as Parallel Computing, Human-Machine Interfaces, Advanced 32-bit Microcontrollers, Parallel Programming, SoC/SoPC, and DSP systems, with teaching loads exceeding 200 hours annually. Her dual expertise in academic research and industrial practice positions her as a promising researcher and educator in the fields of intelligent embedded systems, automotive electronics, and next-generation computing architectures. She embodies a strong balance of technical innovation, teaching excellence, and applied engineering experience, making her a valuable contributor to both academia and industry.

Profile: ORCID

Featured Publications

” Optimization approach of LLC resonant converter parameters for electric vehicles based on interior-point algorithm”

Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

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Dr. Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Dr. Prabhat Kumar Bharti | School of Computing and Electrical Engineering, Indian Institute of Technology (IIT) Mandi, Himachal Pradesh | India

Dr. Prabhat Kumar Bharti is a Postdoctoral Fellow at IIT Mandi with a Ph.D. in Computer Science & Engineering from IIT Patna, specializing in Artificial Intelligence and Natural Language Processing for peer review systems. He has served as Assistant Professor at KLEF University and Goel Institute of Technology, teaching Machine Learning, Deep Learning, and related subjects with excellent student feedback. An accomplished researcher with publications in Journal of Information Science, Scientometrics, Plos ONE, and others, he has also received the Best Paper Runner-Up Award at ICADL 2021. Actively engaged in academic service, he has held leadership roles in IEEE, reviewed for leading journals, and contributed to curriculum design and accreditation, reflecting his strong commitment to research, teaching, and community development.

Academic Profile 

Google Scholar

Education

Dr. Prabhat Kumar Bharti holds a strong academic foundation in computer science and engineering, beginning with a Bachelor of Technology in Information Technology, followed by a Master of Technology in Computer Science and Engineering with a focus on web structure mining. He pursued doctoral research at the Indian Institute of Technology, Patna, where his thesis explored artificial intelligence techniques for peer review and research lineage establishment. His academic journey reflects a consistent focus on advanced computing, artificial intelligence, and data-driven methodologies that form the basis of his professional expertise.

Experience

He has served in both teaching and research capacities at reputed institutions across India. His career includes roles as Assistant Professor at universities and institutes where he taught subjects such as Machine Learning, Deep Learning, Artificial Neural Networks, Database Management Systems, and Operating Systems. He has also held administrative responsibilities, contributing to innovation coordination, student counseling, and accreditation processes. Currently, he is a Postdoctoral Fellow at the Indian Institute of Technology, Mandi, where he is expanding his research portfolio while mentoring students and contributing to academic excellence through teaching and scholarly engagement.

Research Interests

His research interests lie at the intersection of artificial intelligence, natural language processing, and computational linguistics, with a particular emphasis on the peer review process. He has developed models for analyzing review comments, predicting reviewer decisions, assessing tone and objectivity, and generating recommendations. His work extends to large language models, sentiment analysis, causal inference, and advanced learning strategies such as few-shot learning and chain-of-thought reasoning. He also explores the applications of Bayesian methods, counterfactual reasoning, and interpretability in AI, contributing to the creation of trustworthy and transparent intelligent systems.

Awards and Recognitions

Dr. Bharti has received significant recognition for his contributions to research and academia. He qualified the National Eligibility Test for Assistant Professor conducted by the University Grants Commission of India. His paper on predicting peer review decisions earned the Best Paper Runner-Up Award at an international conference on digital libraries, showcasing the impact of his innovative approach to peer review analysis. Alongside awards, he has been an active reviewer for reputed journals and conferences, further highlighting his reputation as a respected member of the global research community.

Publications

A novel benchmark resource for computational analysis of peer reviews — T. Ghosal, S. Kumar, P.K. Bharti, A. Ekbal — PLOS ONE — 2022

Peerassist: leveraging on paper-review interactions to predict peer review decisions — P.K. Bharti, S. Ranjan, T. Ghosal, M. Agrawal, A. Ekbal — International Conference on Asian Digital Libraries — 2021

PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews — P.K. Bharti, M. Navlakha, M. Agarwal, A. Ekbal — Language Resources and Evaluation — 2024

Sharing is caring! Joint multitask learning helps aspect-category extraction and sentiment detection in scientific peer reviews — S. Kumar, T. Ghosal, P.K. Bharti, A. Ekbal — ACM/IEEE Joint Conference on Digital Libraries (JCDL) — 2021

How confident was your reviewer? Estimating reviewer confidence from peer review texts — P.K. Bharti, T. Ghosal, M. Agrawal, A. Ekbal — International Workshop on Document Analysis Systems — 2022

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Journal on Digital Libraries — 2024

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Conference on Theory and Practice of Digital Libraries — 2022

Conclusion

Dr. Prabhat Kumar Bharti stands out as a dynamic researcher whose contributions to Artificial Intelligence and Natural Language Processing reflect both depth and innovation. His strong academic record, impactful publications, teaching excellence, and active service to the academic community position him as a truly deserving candidate for the Best Researcher Award. With his continued dedication, he is poised to make even greater contributions to global research and knowledge advancement.

Zahra Amini | Emerging Technologies | Best Researcher Award

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Assist. Prof. Dr. Zahra Amini | Emerging Technologies | Best Researcher Award

Assist. Prof. Dr. Zahra Amini | Sharif University of Technology | Iran

Dr. Zahra Amini is an Assistant Professor of Civil Engineering at Sharif University of Technology, specializing in intelligent transportation systems, sustainable mobility, and operations research for urban traffic management. She earned her Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley, and has led impactful projects in Iran and the U.S., ranging from corridor management to urban traffic resilience. With several high-impact publications, awards, and ongoing research on data-driven and machine learning approaches to transportation systems, she is recognized for advancing reliable, sustainable, and intelligent urban mobility solutions.

Academic Profile 

Google Scholar

Education

Dr. Zahra Amini completed her higher education in Civil and Environmental Engineering at the University of California, Berkeley, where she advanced her expertise in transportation systems and sustainable infrastructure. Alongside her major studies, she pursued minors in Industrial Engineering, Operations Research, and City and Regional Planning, which provided her with a strong interdisciplinary foundation. Her doctoral thesis focused on data-driven approaches for developing robust signal plans in urban transportation networks, reflecting her commitment to integrating advanced analytical methods with practical engineering challenges. This academic background equipped her with the technical knowledge and research skills that now define her scholarly and professional contributions.

Professional Experience

Dr. Amini serves as an Assistant Professor in the Department of Civil Engineering at Sharif University of Technology, where she teaches both undergraduate and graduate courses. Her teaching portfolio includes systems engineering, traffic engineering, and advanced transportation analysis, complemented by the design of a specialized course in Intelligent Transportation Systems. In addition to her academic role, she manages several research and development projects aimed at improving urban transportation and logistics planning. She has also gained international experience through her work at California Partners for Advanced Transportation Technology, contributing to projects focused on corridor management and traffic system optimization.

Research Interests

Dr. Amini’s research is centered on intelligent transportation systems, sustainable mobility solutions, and operations research applications in transportation system design. She focuses on integrating data-driven and machine learning methods to analyze and improve urban traffic flow, evaluate network resilience, and design reliable transport strategies. Her work also explores the operational sustainability of urban traffic networks and the role of intelligent systems in shaping resilient cities. By bridging theoretical models with applied research, she contributes innovative solutions to the pressing challenges of modern transportation.

Awards and Honors

Dr. Amini has received recognition for her teaching and research contributions through multiple awards. She has been honored for designing innovative courses in Intelligent Transportation Systems and has secured research grants supporting the development of advanced mobility solutions. Her scholarly excellence has been acknowledged with distinctions such as best paper and best presentation awards at international conferences. Additionally, she has been awarded prestigious fellowships that supported her academic journey and research endeavors, reflecting her status as a promising leader in the field of transportation engineering.

Publications

Agent-Based Modeling for Sustainable Urban Passenger Vehicle Mobility: A Case of Tehran
Author: M.E. Doraki, A. Avami, M. Boroushaki, Z. Amini
Journal: Transportation Research Part D: Transport and Environment
Year: 2024

Optimizing offsets in signalized traffic networks: A case study
Author: Z. Amini, S. Coogan, C. Flores, A. Skabardonis, P. Varaiya
Journal: IEEE Conference on Control Technology and Applications (CCTA)
Year: 2018

The Impact of Network Indices Integration on Traffic Flow Imputation Accuracy: A Machine Learning Approach
Author:  S. Sabzekar, A. Roudbari, A. Dehghani, A. Safaeiestalkhzir, Z. Amini
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2025

Using neural network for predicting hourly origin-destination matrices from trip data and environmental information
Author: E. Hassanzadeh, Z. Amini
Journal: Scientia Iranica
Year: 2024

Unsupervised learning for topological classification of transportation networks
Author: S. Sabzekar, M.R.V. Malakshah, Z. Amini
Journal: arXiv preprint –
Year: 2023

Data-Driven Approaches for Robust Signal Plans in Urban Transportation Networks
Author: Z. Amini
Journal:  University of California, Berkeley (Thesis)
Year: 2018

Spatial network-wide traffic flow imputation with graph neural network
Author: S. Sabzekar, R. Bahmani, M. Ghasemi, Z. Amini
Journal:  International Journal of Intelligent Transportation Systems Research
Year: 2025

Analyzing the impacts of gasoline price change on nationwide trip demand and drivers’ behavior using regression discontinuity design
Author: S. Saeidi, Z. Amini
Journal: Scientia Iranica
Year: 2024

Conclusion

Dr. Zahra Amini’s distinguished academic background, impactful research in intelligent and sustainable transportation systems, and recognized leadership in advancing innovative solutions firmly establish her as an outstanding candidate for the Best Researcher Award. Her dedication to bridging research, education, and real-world applications makes her not only deserving of this recognition but also a valuable contributor to the global scientific community.

Uzair Ishtiaq | Industry Collaboration | Best Industrial Research Award

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Mr. Uzair Ishtiaq | Industry Collaboration | Best Industrial Research Award

Mr. Uzair Ishtiaq | Paktex Industries | Pakistan

Mr. Uzair Ishtiaq is a dedicated biochemist with hands-on experience in enzyme bioproduction, microbial testing, and quality control processes within the medical devices industry. With expertise in QC analysis, sterilization monitoring, and tender management, he has developed strong problem-solving and team collaboration skills. His background reflects adaptability, technical proficiency, and a commitment to maintaining high-quality standards in both laboratory and industrial settings.

Academic Profile 

Orcid | Scopus

Education

Uzair Ishtiaq has pursued a strong academic foundation in the field of life sciences, beginning with a focus on pre-medical studies at Punjab College Kamoke. He later enrolled in the University of Management and Technology Lahore, initially in the BS Forensic Sciences program. Due to program restructuring, he transitioned into the BS Biochemistry program, where he completed his undergraduate studies. This academic background provided him with a solid understanding of biochemistry, microbiology, enzymology, and laboratory practices, shaping the basis for his later professional and research pursuits.

Experience

Uzair gained practical industry experience through his role as a QC Analyst at Paktex Industries Kamoke. His responsibilities included analysis of raw materials, in-process monitoring, and finished product testing for medical devices. He played a crucial role in sterility testing, microbial analysis, and monitoring the ethylene oxide sterilization process along with its biological indicators. In addition to laboratory duties, he was also actively involved in tender management, including the preparation of technical and financial bids, evaluating submissions, and addressing grievances in official meetings. His exposure to both scientific and administrative tasks demonstrates his versatility and ability to adapt across laboratory and corporate settings.

Research Interests

Uzair’s research interests lie in the fields of industrial biotechnology, enzyme production, and microbial applications. His early work focused on the bioproduction of pectinase enzyme using rotten lemon and lemon peels with Aspergillus niger through fermentation techniques, reflecting his interest in waste-to-value approaches and sustainable biotechnology. He is also interested in microbial fermentation, quality assurance in bioprocesses, and applied microbiology in industrial and medical device production. These interests highlight his passion for bridging scientific innovation with practical industry needs.

Awards

Uzair has been recognized for his dedication and contribution in academic and professional environments. His consistent performance in quality control and tender management earned him appreciation for maintaining accuracy, compliance, and efficiency in a challenging industrial setting. His ability to balance technical laboratory work with administrative responsibilities reflects a commendable achievement that has set him apart as a reliable and skilled professional.

Publications

Potent antimicrobial and antibiofilm activity of citric acid coated magnetite nanoparticles for leather preservation
Author: Amina Hayat; Asma Irshad; Uzair Ishtiaq; Qudsia Mushtaq; Alexis Spalletta; Patrick Martin; Rabbia Jawad; Tahira Batool
Journal: Scientific Reports
Year: 2025

Nature-Inspired Antimicrobial Agents: Cinnamon-Derived Copper Oxide Nanoparticles for Effective Aspergillus Niger Control
Author: Zunaira Iram; Asma Irshad; Alexis Spalletta; Rabbia Jawad; Qudsia Mushtaq; Nicolas Joly; Patrick Martin; Uzair Ishtiaq
Journal: Current Microbiology
Year: 2025

Determination of antibacterial and antioxidant potential of organic crude extracts from Malus domestica, Cinnamomum verum and Trachyspermum ammi
Author: Asma Irshad; Rabbia Jawad; Qudsia Mushtaq; Alexis Spalletta; Patrick Martin; Uzair Ishtiaq
Journal: Scientific Reports
Year: 2025

Amylase and Cellulase Production from Newly Isolated Bacillus subtilis Using Acid Treated Potato Peel Waste
Author: Qudsia Mushtaq; Uzair Ishtiaq; Nicolas Joly; J.I. Qazi; Patrick Martin
Journal: Microorganisms
Year: 2024

Bioengineering of glucan coated silver nanoparticles as dynamic biomedical compound; in vitro and in vivo studies
Author: Asma Irshad; Rabbia Jawad; S. Sharif; Nicolas Joly; Uzair Ishtiaq; Patrick Martin; Qudsia Mushtaq
Journal: Microbial Pathogenesis
Year: 2024

Conclusion

Uzair Ishtiaq’s journey reflects a unique balance of academic knowledge, industrial expertise, and research-driven innovation. His contributions to enzyme bioproduction, quality control in medical devices, and effective tender management highlight his ability to connect science with real-world applications. With continuous growth and a commitment to excellence, he emerges as a highly deserving and suitable candidate for the Best Industrial Research Award.

Amir Rezazadeh | Engineering Achievements | Distinguished Scientist Award

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Dr. Amir Rezazadeh | Engineering Achievements | Distinguished Scientist Award

Dr. Amir Rezazadeh | Young Researchers and Elite Club, Islamic Azad University, Torbat Heydarieh Branch | Iran

Dr. Amir Rezazadeh is a researcher and lecturer specializing in energy systems and mechanical engineering, with a strong focus on evaporation reduction, water surface energy exchanges, and sustainable water management. His expertise spans experimental modeling, remote sensing, machine learning applications, and hydrological studies. He has published impactful research on evaporation suppression using floating covers, heat flux estimation, and the role of wind and surface flows in water reservoirs. Alongside academic teaching, he contributes actively to advancing water resource conservation through innovative laboratory and field-based investigations.

Academic Profile 

Orcid

Education

Amir Rezazadeh has pursued a strong academic path in the fields of mechanical and energy engineering. He began his studies in automotive technology and advanced through higher education with specialization in energy systems and energy conversion. His academic journey culminated in doctoral research in mechanical engineering, where he focused on water surface energy exchanges, evaporation suppression, and thermal dynamics. Through rigorous coursework, laboratory research, and applied studies, he gained a solid foundation in both theoretical and practical aspects of engineering, equipping him with the knowledge to address critical challenges in water and energy systems.

Experience

He has served as a lecturer and university adjunct professor at Islamic Azad University, teaching and mentoring students while actively contributing to academic development. His teaching responsibilities have included specialized courses in energy systems, fluid mechanics, and engineering design, supported by his practical skills in software such as SolidWorks, LabVIEW, and Google Earth Engine. Alongside his teaching, he has been engaged in experimental modeling and laboratory work, designing setups to investigate evaporation, water surface flows, and energy exchanges. His academic and professional experience highlights his ability to integrate advanced research with effective teaching and applied problem-solving.

Research Interests

His research interests are centered on water and energy sustainability, with a particular emphasis on reducing evaporation losses from reservoirs. He investigates surface energy balances, sensible and latent heat flux, the Bowen ratio, and the interaction of wind and surface flows with evaporation processes. His work also explores the use of floating covers, hydrological modeling, and the integration of satellite remote sensing for monitoring environmental parameters. Additionally, he applies advanced computational tools, including machine learning and regression modeling, to predict heat flux and improve water resource management strategies.

Awards

Amir Rezazadeh has been recognized for his academic excellence and research contributions through several honors and achievements. He earned distinguished placements in academic programs and was admitted to advanced degrees under outstanding talent quotas. His research publications in international journals have further established his reputation in the field of energy and water studies. These accomplishments reflect his commitment to scientific innovation and his role in advancing knowledge for sustainable water management.

Publications

The impact of cover geometry on evaporation suppression of partially covered water reservoirs

Author: Mohammad Javad Rezaei Jajarm, Pooria Akbarzadeh, Mohammad Mohsen ShahMardan, Milad Aminzadeh, Amir Rezazadeh
Journal: Journal of Hydrology
Year: 2025

Estimation of Water Heat Flux in Small Reservoirs: The Role of Neural Networks and Regression Techniques

Author: Amir Rezazadeh, Pooria Akbarzadeh, Milad Aminzadeh, Iman Zabbah, Mostafa Dolatimahtaj, Mohammad Ali Jafari
Journal: Advances in Space Research
Year: 2025

A Novel Method for Assessing Evaporation in Small Water Bodies: Considering Floating Covers, Water Surface Flows, and Wind Speeds

Author: Amir Rezazadeh, Pooria Akbarzadeh, Mohammad Mohsen ShahMardan, Milad Aminzadeh
Journal: Iranian Journal of Science and Technology, Transactions of Civil Engineering
Year: 2025

A Novel Framework for Estimating the Bowen Ratio Over Small Water Bodies

Author: Amir Rezazadeh, Pooria Akbarzadeh, Mohammad Mohsen ShahMardan, Milad Aminzadeh
Journal: Hydrological Processes
Year: 2025

The effect of floating balls density on evaporation suppression of water reservoirs in the presence of surface flows

Author: Amir Rezazadeh, Pooria Akbarzadeh, Milad Aminzadeh
Journal: Journal of Hydrology
Year: 2020

Modelling and Experimental Investigation of the Evaporation Suppression Using Floating Covers in the Presence of Surface Flows

Author: Amir Rezazadeh
Journal: Amirkabir Journal of Mechanical Engineering
Year: 2019

Conclusion

Amir Rezazadeh’s distinguished academic achievements, innovative research in energy conversion and water sustainability, and proven commitment to advancing engineering knowledge make him an outstanding nominee for the Best Researcher Award. His ability to integrate experimental investigation with modern computational methods demonstrates both depth and vision, positioning him as a researcher whose work continues to contribute meaningfully to global scientific and environmental challenges.

Amit Gupta | Drug Development | Best Faculty Award

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Dr. Amit Gupta | Drug Development | Best Faculty Award

Dr. Amit Gupta | Chemistry Department Institute of Basic Sciences Dr. B R Ambedkar University Agra | India

Dr. Amit Gupta is a distinguished chemist with an extensive academic background in organic and inorganic chemistry, complemented by a doctoral degree in the study of mercury peroxychromate complexes. With a long teaching career spanning undergraduate to doctoral levels, he has significantly contributed to shaping future researchers and advancing chemical education. His research interests cover coordination chemistry, phytochemistry, and trace metal analysis, with numerous publications and books to his credit. Recognized through awards and active participation in national and international conferences, he continues to make impactful contributions to the fields of chemistry and pharmaceutical sciences.

Academic Profile 

Scopus | Orcid | Google Scholar

Education

Dr. Amit Gupta holds dual Master’s degrees in Organic and Inorganic Chemistry, followed by a Ph.D. in Chemistry from Dr. B. R. Ambedkar University, Agra. His doctoral research focused on the study of mercury peroxychromate and its complexes with nitrogen bases, which provided him with a strong foundation in coordination chemistry and analytical techniques. He has also earned the distinction of being a Fellow of the Indian Council of Chemists (FICC) and has pursued specialized certification in data analysis for life sciences. His academic journey reflects both breadth and depth in chemical sciences, establishing a solid base for his teaching and research career.

Experience

Dr. Gupta has more than two decades of rich teaching experience across undergraduate, postgraduate, and doctoral levels. He has taught B.Sc., M.Sc., M.Phil., and Ph.D. coursework in chemistry and has guided students with academic rigor and research orientation. He has contributed to the academic growth of institutions by teaching core subjects and mentoring research scholars. His long-standing association with the Department of Chemistry at the Institute of Basic Science, Dr. B. R. Ambedkar University, has enabled him to play a pivotal role in shaping future scientists. Alongside teaching, he has authored textbooks in inorganic, organic, and physical chemistry, further extending his impact on the academic community.

Research Interests

Dr. Gupta’s research interests lie in inorganic and coordination chemistry, phytochemistry, and trace metal analysis. He has extensively studied peroxychromates and their complexes, exploring their oxidative behavior and decomposition pathways. His later research expanded into phytochemical screening and the isolation of bioactive compounds from medicinal plants, including studies on flavonoids and antioxidants. He has also investigated trace and heavy metal accumulation in plant systems using modern analytical methods, linking his work to environmental chemistry and human health. His publications reflect a blend of fundamental chemical studies and applied research with multidisciplinary relevance.

Awards and Recognition

Dr. Gupta has been recognized for his academic and research contributions through awards and honors at inter-collegiate and professional platforms. His first-prize achievement in an e-poster competition on nanomaterials and quantum dots highlights his ability to connect advanced concepts in chemistry with innovative presentation. He has actively participated in numerous national and international conferences, workshops, and seminars, showcasing his research and engaging in scholarly exchange. His membership as FICC further underscores his standing in the professional chemistry community, marking him as a respected educator, researcher, and contributor to the advancement of chemical sciences.

Publications

Isolation and characterization of flavonoid glycoside from leaves of Abrus precatorius

Authors: J. Gupta, G. Amit
Journal: International Journal of Chemical Studies
Year: 2014

Determination of trace metals in the leaves of Rauwolfia serpentina by using atomic absorption spectroscopy

Authors: J. Gupta, A. Gupta
Journal: International Journal of Chemical Studies
Year: 2016

Isolation and identification of flavonoid rutin from Rauwolfia serpentina

Authors: J. Gupta, A. Gupta
Journal: International Journal of Chemical Studies
Year: 2015

 Preliminary phytochemical screening of leaves of Moringa oleifera Lam

Authors: J. Gupta, A. Gupta, K. Gupta
Journal: Journal Chemtracks
Year: 2014

Isolation and characterization of flavonoid from leaves of Abrus precatorius

Authors: J. Gupta, A. Gupta
Journal: International Journal of Current Research in Chemistry and Pharmaceutical Sciences
Year: 2016

Studies on the chemical constituents of leaves of Phyllanthus emblica (L.)

Authors: J. Gupta, A. Gupta, A.K. Gupta
Journal: Oriental Journal of Chemistry
Year: 2014

Extraction and identification of flavonoid natural antioxidant in the leaves of Rauwolfia serpentina

Authors: J. Gupta, A. Gupta, A.K. Gupta
Journal: International Journal of Chemical Studies
Year: 2016

Conclusion

Dr. Amit Gupta’s outstanding academic journey, extensive teaching experience, and impactful research contributions make him a distinguished scholar in the field of chemistry. His dedication to advancing scientific knowledge, mentoring future researchers, and publishing widely demonstrates both depth and breadth of expertise. With a proven record of innovation and commitment to excellence, he is a highly deserving candidate for the Best Faculty Award.

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

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Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

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Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.