Celine FABRET | Biology | Best Researcher Award

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Assist. Prof. Dr. Celine FABRET | Biology | Best Researcher Award

Lecturer at Paris-Saclay University, France

Dr. Céline Fabret is a Research Associate Professor at Paris-Saclay University, working at the Institut de Biologie Intégrative de la Cellule (I2BC). She holds a Ph.D. in Molecular Biology and Genetics from Université Aix-Marseille II and has extensive postdoctoral experience in both France and the United States. Her research focuses on translation termination, ribosome rescue mechanisms, prion biology, and gene regulation in bacteria and yeast. With a strong background in genetics and RNA biology, she has contributed to several international genome projects and has published in leading journals. Dr. Fabret is also an experienced educator and mentor, actively involved in training students and participating in academic governance.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Molecular Biology and Genetics, Université Aix-Marseille II, France (1996)

    • Doctoral research at CNRS Marseille, within the European-Japanese Bacillus subtilis genome project

  • Master’s in Molecular Biology, Université Aix-Marseille II, France

Professional Experience 💼

  • 2025–Present: Research Associate Professor, Paris-Saclay University, I2BC

  • 2011–Present: Faculty member, Paris-Saclay University (teaching microbiology, genetics, molecular biology, genomics)

  • 2001–2011: Lecturer, Sorbonne University (Pierre et Marie Curie Campus)

  • 1999–2001: Researcher in P. Noirot’s lab at INRA, Jouy-en-Josas – Genetic tools development and essential gene characterization

  • 1998–1999: Researcher in L. Jannière’s lab at INRA – High-frequency in vivo mutagenesis system in E. coli

  • 1996–1998: Postdoctoral Fellow, J.A. Hoch’s Lab, The Scripps Research Institute (La Jolla, USA) – Sporulation and two-component systems in Bacillus subtilis

  • 1991–1996: Doctoral researcher, CNRS Marseille – DNA sequencing and transcriptional analysis in B. subtilis

Research Interests 🔬

Dr. Fabret’s research bridges bacterial and eukaryotic translation, gene regulation, and RNA biology. Her focus includes:

  • Translation termination mechanisms in yeast and bacteria

  • Prion biology and its effect on stop codon recognition ([PSI+] phenotype)

  • Ribosome rescue and RNA quality control systems (RQC2, trans-translation)

  • Antibiotic response and translational reprogramming in Gram-negative bacteria

  • Functional genomics and essential gene analysis in Bacillus subtilis

  • Post-transcriptional modifications and their role in translational fidelity

She has supervised 2 PhD theses, 3 Master 2 (M2), and 16 Master 1 (M1) students, contributing to the training of the next generation of molecular biologists.

Awards and Honors🏆✨

  • Lead participant in multiple European research consortia on genome projects and enzyme engineering

  • Co-author of high-impact publications in Nature Cell Biology, Structure, Nucleic Acids Research, Molecular Microbiology

  • Elected member of the Consultative Commission of Biology Specialists and the Biology Department Council, Paris-Saclay University

  • Recognized for interdisciplinary collaboration with pharmaceutical companies (e.g., Aventis) and international institutions

Conclusion🌟

Dr. Céline Fabret has made sustained and meaningful contributions to molecular microbiology, translation biology, and bacterial physiology. Through a unique combination of genetic, biochemical, and functional genomics approaches, she has deepened our understanding of translation mechanisms and gene regulation across domains of life. As a researcher, educator, and mentor, she remains committed to advancing science and supporting young scientists in their careers.

Publications 📚

  1. 🧬 Fabret C, Giudice E, Chat S, Gillet R, Namy O (2025)
    RQC2 is a major player in peptide release from stalled ribosomes
    Structure, 31: S0969-2126(25)00105-4.

  2. 🦠 Fruchard L, Babosan A, Carvalho A, Lang M, Li B, Duchateau M, Giai Gianetto Q, Matondo M, Bonhomme F, Hatin I, Arbes H, Fabret C, et al. (2025)
    Aminoglycoside tolerance in Vibrio cholerae engages translational reprogramming
    (Accepted, journal not specified).

  3. 🧪 Fabret C, Namy O (2021)
    Translation efficiency of E. coli ribosomes with covalently linked subunits
    Nucleic Acids Research, 49(9): 5308–5318.

  4. 🔬 Malagnac*, Fabret* et al. (2013)
    A gene regulated by a -1 frameshift in Podospora anserina
    PLoS One, 8(9): e73772. (co-first authors)

  5. 🔎 Cosnier B, Kwapisz M, Hatin I, Namy O, Fabret C (2011)
    Translational readthrough of S. cerevisiae genes IMP3 and PDE2
    PLoS One, 6(4): e19500.

  6. 🧫 Desmolaize B, Fabret C, Graille M, van Tilbeurgh H, Brochier-Armanet C, Namy O (2011)
    23S rRNA modifications in Bacillus subtilis
    Nucleic Acids Research, 39(21): 9368–9375.

  7. 🧬 Fabret C, Malagnac F, Namy O (2011)
    tRNA-CAU modification enzyme and AUA codon recognition in Bacillus subtilis
    Molecular Microbiology, 80(4): 1062–1074.

  8. 💡 Blanchet S, Cornu D, Hatin I, Grosjean H, Bertin P, Namy O, Fabret C (2015)
    eRF1 interactions with stop codons and the ribosome
    Nucleic Acids Research, 43(6): 3298–3308.

  9. 🧠 Kabani M, Melki R, Fabret C (2011)
    Prion formation and the eRF3 protein in yeast
    Molecular Microbiology, 81(3): 640–658.

  10. 🔬 Tork S, Hatin I, Rousset JP, Fabret C (2004)
    5′ and 3′ context effects on stop codon recognition
    Nucleic Acids Research, 32(2): 415–421.

 

 

 

Jihan Zhuang | Second Life Battery | Best Researcher Award

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Dr. Jihan Zhuang | Second Life Battery | Best Researcher Award

Stanford University, United States

Jihan Zhuang is a materials scientist specializing in lithium-ion battery technologies, second-life battery applications, and energy storage systems. With a strong academic foundation and industry experience, Jihan bridges the gap between advanced materials research and practical implementation in electric mobility and circular energy systems. Currently working as an E-mobility Scientist at Shell, he contributes to battery storage modeling, EV infrastructure, and international standards development.

Publication Profile 

Orcid

Educational Background 🎓

  • Stanford University, Department of Materials Science and Engineering
    Ph.D. & M.S. in Materials Science and Engineering (2017.09 – 2024.01)
    GPA: 3.73 / 4.00

  • Zhejiang University (ZJU), School of Materials Science and Engineering
    B.Eng. in Polymer Science and Engineering (2013.09 – 2017.06)
    GPA: 3.84 / 4.00

Professional Experience 💼

  • Shell, Houston, Texas, USA – E-Mobility Scientist (2024.02–Present)

    • Developed battery energy storage models for Shell EV charging stations.

    • Engaged in ISO PT6 standards development for EV charging.

    • Analyzed battery aging, thermal behavior, and charging technologies.

    • Provided insights on battery data sharing and policy recommendations.

  • IDG Capital, Beijing, China – Investment Intern (2023.06–2023.09)

    • Researched electric vehicle and AI-related markets.

    • Engaged with US robotics startups and venture capital funding trends.

  • Shell, Short Duration Storage Team, Houston – Intern (2022.06–2022.09)

    • Created a framework for second-life Li-ion battery strategies.

    • Identified viable use cases for batteries in various chemistries.

    • Evaluated battery reuse models and investment opportunities.

Research Interests 🔬

  • Lithium-ion battery lifecycle and aging analysis

  • Second-life battery applications and economic modeling

  • EV charging infrastructure and grid integration

  • Energy storage systems (ESS) in circular economy models

  • Sustainable and innovative mobility solutions

Awards and Honors🏆✨

  • StorageX Fast Charging Consortium (SaFC) and Circular Economy (C2E2) Grand – Participant (2021–2022)

  • DIANins Outstanding Student Scholarship – Awarded in 2020

  • Vice President, Association of Chinese Students and Scholars at Stanford (2018–2019)

Conclusion🌟

Jihan Zhuang is an emerging expert in battery technology and sustainable mobility systems, combining academic excellence with practical impact. His contributions span from designing battery reuse frameworks to shaping EV charging standards at a global level. With a strong vision for energy sustainability and circular economy, Jihan is poised to make significant contributions to the future of clean transportation and storage technologies.

Publications 📚

  1. 🔋 Zhuang, J., Bach, A., van Vlijmen, B.H.C., Chueh, W., Benson, S.M., Onori, S. (2025)
    A Decision-making Model for Retired Li-ion Batteries
    Applied Energy – ✅ Accepted

  2. 💸 Zhuang, J., Bach, A., Chueh, W., Benson, S.M., Onori, S. (In preparation)
    Economic Feasibility Analysis of Second-Life Batteries in Electric Bus Charging Station at Stanford

  3. ♻️ Bach, A., Zhuang, J., Onori, S., Reichelstein, S.J. (2024)
    Fair Market Valuation of EV Batteries in the Circular Economy
    Nature Communications – 📤 Submitted

  4. 🛹 Bombik, A., Zhuang, J., Taraborrelli, A., Liu, G., Chang, F.-K. (2019)
    Design of a Multi-functional Energy Storage Composite Electric Skateboard
    Proceedings of the American Society for Composites—34th Technical Conference
    DOI: 10.12783/asc34/3137221B

 

 

 

Chengfeng Jian | Computer-Aided Design | Best Researcher Award

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Prof. Dr. Chengfeng Jian | Computer-Aided Design | Best Researcher Award

Professor at Zhejiang University of Technology, China

Chengfeng Jian is a distinguished academic in the field of computer science, currently serving as a Professor in the Department of Computer Science and Technology at Zhejiang University of Technology, Hangzhou, China. Born in June 1973 in Zhejiang Province, China, he has made significant contributions to the areas of Artificial Intelligence (AI), Computer-Aided Design (CAD), and Cloud Computing.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Computer Science
    Institution: Zhejiang University, Hangzhou, China
    Field: Computer Science and Technology
    Completed: Year not specified

Professional Experience 💼

  • Professor, Department of Computer Science and Technology
    Institution: Zhejiang University of Technology, Hangzhou, China
    Role: Engaged in teaching, research, and supervision of graduate students in fields related to AI, CAD, and Cloud Computing.

Research Interests 🔬

  • Artificial Intelligence (AI)

  • Computer-Aided Design (CAD)

  • Cloud Computing
    He is actively involved in both the theoretical and applied aspects of these domains, contributing to academic publications and technological innovations.

Conclusion🌟

Chengfeng Jian is a leading academic figure in computer science whose research spans cutting-edge technologies such as AI, CAD, and Cloud Computing. With a solid educational background and a professorship at a reputable university, he continues to influence and contribute to the advancement of technology and education in China.

Publications 📚

🆕 STEP-based model recommendation method for exchanging and reusing digital twins

📘 Journal of Industrial Information Integration, 2025
🔗 DOI: 10.1016/j.jii.2025.100839
👥 Authors: Chengfeng Jian, Zhuoran Dai, Jinyu Chen, Meiyu Zhang

🤖 A hybrid manufacturing scheduling optimization strategy in collaborative edge computing

📘 Evolutionary Intelligence, 2024
🔗 DOI: 10.1007/s12065-022-00786-z
👥 Authors: Zhuoyang Pan, Xianghui Hou, Hao Xu, Lukun Bao, Meiyu Zhang, Chengfeng Jian

🧠 GNN-based deep reinforcement learning for MBD product model recommendation

📘 International Journal of Computer Integrated Manufacturing, 2024
🔗 DOI: 10.1080/0951192X.2023.2258090
👥 Authors: Yuying Hu, Zewen Sheng, Min Ye, Meiyu Zhang, Chengfeng Jian

📡 Online-learning task scheduling with GNN-RL scheduler in collaborative edge computing

📘 Cluster Computing, 2024
🔗 DOI: 10.1007/s10586-022-03957-w
👥 Authors: Chengfeng Jian, Zhuoyang Pan, Lukun Bao, Meiyu Zhang

📦 A novel graph neural networks approach for 3D product model retrieval

📘 International Journal of Computer Integrated Manufacturing, 2023
🔗 DOI: 10.1080/0951192X.2022.2104460
👥 Authors: Chengfeng Jian, Yiqiang Lu, Mingliang Lin, Meiyu Zhang

✋ KOA-CLSTM-based real-time dynamic hand gesture recognition on mobile terminal

📘 Signal, Image and Video Processing, 2023
🔗 DOI: 10.1007/S11760-022-02395-W
👥 Authors: Xianghui Hou, Sijia Cen, Meiyu Zhang, Chengfeng Jian

🌀 QSCC: A Quaternion Semantic Cell Convolution GNN for MBD Product Model Classification

📘 IEEE Transactions on Industrial Informatics, 2023
🔗 DOI: 10.1109/TII.2023.3246066
👥 Authors: Chengfeng Jian, Zewen Sheng, Yiqiang Lu, Mingliang Lin, Meiyu Zhang, Xianghui Hou

⚙️ A high-efficiency learning model for virtual machine placement in mobile edge computing

📘 Cluster Computing, 2022
🔗 DOI: 10.1007/S10586-022-03550-1
👥 Authors: Chengfeng Jian, Lukun Bao, Meiyu Zhang

🤲 RD-Hand: a real-time regression-based detector for dynamic hand gesture

📘 Applied Intelligence, 2022
🔗 DOI: 10.1007/S10489-021-02380-9
👥 Authors: Chengfeng Jian, Xingze Liu, Meiyu Zhang

☁️ A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing

📘 International Journal of Production Research, 2021
🔗 DOI: 10.1080/00207543.2020.1779371
👥 Authors: Chengfeng Jian, Jing Ping, Meiyu Zhang

Indhumathi G | Biomedical Image Processing | Best Researcher Award

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Ms. Indhumathi G | Biomedical Image Processing | Best Researcher Award

Assistant Professor at Rajalakshmi Engineering College, India

Indhumathi G is a dedicated academic and researcher currently serving as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at Rajalakshmi Engineering College, Chennai. With a strong background in communication and networking, she is pursuing a Ph.D. in Image Processing at Anna University. Her academic journey and professional career span several reputed institutions, during which she has contributed significantly to teaching, consultancy, and innovative research. She has co-authored numerous research papers, filed patents, and secured funding for industry projects. Her recent work emphasizes the application of deep learning and IoT in healthcare, agriculture, and automation.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Image Processing – Pursuing, Anna University

  • M.E. in Communication and Networking – Ganadipathy Tulsi’s Jain Engineering College, 1st Class, CGPA: 7.9/10, Year: 2015

  • B.E. in Electronics and Communication Engineering – Ranippettai Engineering College, 1st Class, CGPA: 8/10, Year: 2013

  • HSC – TMKV Govt. Hr. Sec. School, 75%, Year: 2009

  • SSLC – Auxilium Girls Hr. Sec. School, 80%, Year: 2007
    (No history of arrears)

Professional Experience 💼

  • Assistant Professor, Rajalakshmi Engineering College, Chennai
    Sep 16, 2022 – Present

  • Assistant Professor, Loyola Institute of Technology, Chennai
    June 26, 2018 – Sep 17, 2022

  • Assistant Professor, Sree Krishna College of Engineering, Anaicut, Vellore
    June 1, 2015 – June 23, 2018

Research Interests 🔬

  • Image Processing and Deep Learning

  • Medical Image Analysis (e.g., Alzheimer’s Disease Detection)

  • IoT Applications in Healthcare and Agriculture

  • AI for Accident Prediction and Monitoring Systems

  • Smart Supply Chain and Automation Systems

  • Wireless Sensor Networks and Optimization Algorithms

  • Federated Learning in Smart Cities

Awards and Honors🏆✨

  • Reviewer Appointment: International Journal of Medical Imaging (IJMI) (2023–2026)

  • Best Faculty Award: Awarded by Technical Forum Research Foundation

Conclusion🌟

Indhumathi G is a proactive and forward-thinking academic professional with a strong inclination toward research and innovation. Her expertise spans across AI, IoT, and image processing, with tangible contributions to real-world problems through consultancy, funded projects, and patent filings. Her blend of academic excellence, industry collaboration, and innovative thinking positions her as a valuable contributor in the field of Electronics and Communication Engineering.

Publications 📚

  1. 🧬 A Novel CNN Architecture: Comprehensive Approach to Alzheimer’s disease classification
    📝 Journal of Medical Imaging (Under Review)
    👩‍💻 Indhumathi G, Palanivelan M

  2. 🧠 Alzheimer’s disease classification using Hybrid loss Psi-Net Segmentation and a New Hybrid Network Model
    📘 Journal of Computational Biology and Chemistry (Impact Factor: 2.6)
    👩‍💻 Indhumathi G, Palanivelan M

  3. 🧠 Comparative Analysis of Machine Learning Algorithms on Prediction of Alzheimer from MRI
    📍 6th International Conference on Recent Trends in Advance Computing (ICRTAC)
    👩‍💻 Indhumathi G, Palanivelan M, Senthil Kumar A, Sairam V A

  4. 🧠 A Non-invasive method to detect and classify Alzheimer’s disease
    📍 3rd Int. Conf. on Deep Sciences for Computing and Communications, SRM IST
    👩‍💻 Indhumathi G, Palanivelan M, Saranya G

  5. 🌱 Deep Learning Innovations for Improved Plant Leaf Disease Detection in Smart Agriculture
    📍 2nd Int. Conf. on Data Science and Information System (ICDSIS), May 2024
    👨‍🔬 M Balamurugan et al., including G Indhumathi

  6. 🐟 Intelligent Aquaponics using IoT
    📘 IT in Industry, Vol. 9 No. 2 (2021), Impact Factor: 0.043
    👩‍💻 Indhumathi G

  7. 🚨 Smart Accident Detection and Helmet Detection – Emergency Alert System
    📍 IEEE Int. Conf. ACCAI 2024, St. Joseph College of Engineering
    👩‍💻 Saranya G, Indhumathi G, et al.

  8. 🔍 Automated Intracranial Hemorrhage Detection Using Deep Learning
    📍 ICDSNS, July 2024
    👩‍💻 Naresh Kumar Kar et al., including Indhumathi G

  9. 🚑 Critical Healthcare Monitoring and secure data sharing using AES Encryption and IoT
    📘 Turkish Journal of Physiotherapy and Rehabilitation, Vol 32(3), Impact Factor: 0.4
    👩‍💻 Indhumathi G

  10. 🧯 Laboratory Safety System using IoT
    📘 Psychology and Education, Vol. 57 (2020), Impact Factor: 0.0083
    👩‍💻 Indhumathi G

 

 

Balamurugan Guru | Hazards and Landslide Mapping | Best Researcher Award

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Prof. Balamurugan Guru | Hazards and Landslide Mapping | Best Researcher Award

Professor at Central University of Tamil Nadu, India

Dr. Guru Balamurugan is a Professor and Head of the Department of Geology at the Central University of Tamil Nadu, with over two decades of research experience and 16 years in academia. He is a distinguished expert in groundwater modeling, geospatial technologies, and disaster risk management. His work bridges academic rigor with practical applications, including sustainable water resource management, climate change impact assessments, and geoinformatics in disaster resilience. Dr. Balamurugan has led multiple national and international research projects, published extensively, and contributed to curriculum development and laboratory establishment at leading Indian institutions.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Certificate in Water Resource (2016) – ITC, Twente University, The Netherlands

  • Ph.D. in Hydrogeology (Groundwater Modeling) (2008) – IIT Bombay, India

  • M.Tech in Remote Sensing (2003) – CERS, Bharathidasan University, Trichy

  • PG Diploma in Hydrogeology (2001) – Annamalai University

  • M.Sc. in Applied Geology (1999) – National College, Bharathidasan University

  • B.Sc. in Geology (1997) – National College, Bharathidasan University

Professional Experience 💼

  • Professor & Head (June 2023–present) – Dept. of Geology, Central University of Tamil Nadu (CUTN)

  • Associate Professor (2020–2023) – CUTN, Founder Head of Department of Geology

  • Chairperson (2012–2020) – Centre for Geoinformatics, TISS, Mumbai

  • Associate Professor (2017–2020) – Centre for Geoinformatics, TISS

  • Assistant Professor (2008–2017) – TISS, Jamsetji Tata School of Disaster Studies

  • Research Fellow (2003–2004) – ISRO-funded project on groundwater systems

  • Groundwater Consultant (1999–2000) – Conducted geophysical surveys in South India

Research Interests 🔬

  • Groundwater exploration, modeling & sustainable water resource management

  • Application of Remote Sensing & GIS in hydrogeology and disaster management

  • Climate change impact assessments on water resources

  • Natural disaster mapping, risk analysis & early warning systems

  • Integration of geoinformatics in urban planning and resilience building

Awards and Honors🏆✨

  • IRO, TISS Fellowship – Study at ITC, The Netherlands (2016)

  • Max Planck-TISS Research Grant – Urban Aspirations Study (2013)

  • DAAD Fellowship (Germany) – Research on groundwater modeling (2006–07)

  • AICTE-NDF Scholarship – Ph.D. at IIT Bombay (2004–08)

  • Student Research Grant – TN State Council for Science & Technology (1999)

  • Qualified UPSC Geologist Examination – 2008

  • Qualified State Eligibility Test (SET) – 2006

Conclusion🌟

Dr. Guru Balamurugan stands as a leading geoscientist integrating hydrogeology, geoinformatics, and disaster studies to address critical challenges in water security and environmental sustainability. His career reflects a strong dedication to both academic excellence and community impact through research, teaching, and policy contributions. With multiple fellowships, leadership roles, and international exposure, he continues to shape the future of earth sciences and disaster risk management in India and beyond.

Publications 📚

📘 Enhancing evacuation shelter suitability in compound hazard-prone regions with a Bayesian optimized convolutional neural network approach
📰 International Journal of Disaster Risk Reduction
📅 2025-03
🔗 DOI: 10.1016/j.ijdrr.2025.105306
👥 Somnath Bera, Swapan Talukdar, Kim-Anh Nguyen, Yuei-An Liou, Balamurugan Guru, Ranit Chatterjee, G V Ramana

🌊 Sustainable tourism, livelihood and coastal governance: Chilika lake, India
📰 Ocean & Coastal Management
📅 2024-07
🔗 DOI: 10.1016/j.ocecoaman.2024.107128
👥 Biswanath Dash, Balamurugan Guru

🏚️ Assessment of shelter location-allocation for multi-hazard emergency evacuation
📰 International Journal of Disaster Risk Reduction
📅 2023-01
🔗 DOI: 10.1016/j.ijdrr.2022.103435
👥 Somnath Bera, Kaushal Gnyawali, Kshitij Dahal, Raquel Melo, Miao Li-Juan, Balamurugan Guru, G V Ramana

🏙️ Earthquake and flood resilience through spatial planning in the complex urban system
📰 Progress in Disaster Science
📅 2022-04
🔗 DOI: 10.1016/j.pdisas.2022.100219
👥 Sujata Kodag, Shibu K. Mani, Guru Balamurugan, Somnath Bera

☀️ A Study on Solar and Green House Gas Mitigation Potential in India using AHP and Geospatial Technology
📰 International Journal of Renewable Energy Research
📅 2021
🔗 DOI: 10.20508/ijrer.v11i1.11758.g8132
👥 Balamurugan Guru

🏖️ Shoreline Changes Analysis and Forecast Using DSAS 5.0: East Coast of India
📰 Journal of the Indian Society of Remote Sensing
📅 2021-11
🔗 DOI: 10.1007/s12524-021-01424-4
👥 Gopal Barik, Balamurugan Guru, Francis Sangma

🌋 Assessment of exposed elements in a changing built environment using debris flow models (Kalimpong, Himalaya)
📰 Bulletin of Engineering Geology and the Environment
📅 2021-09
🔗 DOI: 10.1007/s10064-021-02352-w
👥 Somnath Bera, Raquel Melo, Balamurugan Guru

⚠️ Natech guide words: A new approach to assess and manage Natech risk for business continuity
📰 Journal of Loss Prevention in the Process Industries
📅 2021-09
🔗 DOI: 10.1016/j.jlp.2021.104564
👥 Dr. Sachin Damle, Shibu K. Mani, Guru Balamurugan

⛰️ Landslide inventory and susceptibility models using deep learning: Himalayas, India
📰 Natural Hazards
📅 2021-08
🔗 DOI: 10.1007/s11069-021-04731-8
👥 Somnath Bera, Vaibhav Kumar Upadhyay, Balamurugan Guru, Thomas Oommen

💧 Integrated multi-criteria analysis for groundwater potential mapping (North Gujarat, India)
📰 Hydrological Sciences Journal
📅 2021-04-26
🔗 DOI: 10.1080/02626667.2021.1906427
👥 Rudra Mohan Pradhan, Balamurugan Guru, Pradhan B, Tapas Kumar Biswal

Amina Chahtou | Photovoltaic | Best Researcher Award

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Assoc. Prof. Dr. Amina Chahtou | Photovoltaic | Best Researcher Award

Associate professor at Renewable Energy Development Center, Algeria

Dr. Amina Chahtou is an Associate Professor and renewable energy researcher at the Renewable Energy Development Center (CDER) in Algeria. She holds a Ph.D. in Advanced Materials Science and Technology from Hirosaki University, Japan, and a Master’s degree in Materials and Photovoltaic Science from USTMB, Algeria. Her research focuses on solar energy, photovoltaic performance, material optimization, and advanced reduction processes for metals like aluminum and titanium. With international academic and research experience, she has published extensively in peer-reviewed journals and actively promotes sustainability through initiatives like WiSER (Women in Sustainability, Environment and Renewable Energy).

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Advanced Materials Science and Technology
    Graduate School of Science and Technology, Hirosaki University, Japan
    Thesis: “Optimization of heating-temperature on carbothermal reduction of alumina for production of aluminum” (2018)

  • Master’s Degree in Materials and Photovoltaic Science
    University of Sciences and Technology Mohamed Boudiaf (USTMB), Algeria (2012–2014)
    Distinction: Excellent – Ranked 1st out of over 100 students

  • Bachelor’s Degree in Physics Applied to Natural and Life Sciences
    University of Sciences and Technology Mohamed Boudiaf (USTMB), Algeria (2009–2012)
    Distinction: Excellent – Ranked 2nd out of over 50 students

  • Baccalaureate (Physics Option)
    Algeria (June 2012) – With honors

Professional Experience 💼

  • Associate Professor / Permanent Researcher
    Renewable Energy Development Center (CDER), Algeria (Feb 2020–present)

  • Physics and Biophysics Lecturer
    Faculty of Medicine, University of Algiers (Oct 2024–present)

  • WiSER Pioneer Member
    Masdar Institute, Abu Dhabi – Women in Sustainability, Environment, and Renewable Energy (Jan 2022–present)

  • Lecturer (Mathematics, Electricity, Mechanics)
    USTMB (Oct 2018–Jan 2020)

  • Assistant Researcher
    Advanced Materials for Science and Technology, NJRISE, Japan (Oct 2015–2018)

  • Research Member
    Solar Sahara Breeder Project (Japan–Algeria) (2012–2015)

  • Research Assistant
    Lab of Electronic Microscopy and Materials Science, Algeria (2012–2014)

  • High School Physics Teacher
    Algeria (Dec 2014–June 2015)

  • R&D Intern
    SONALGAZ & Military Hospital, Oran (2010–2012)

Research Interests 🔬

  • Solar energy and photovoltaic systems

  • Materials for renewable energy (solar-grade silicon, aluminum, titanium)

  • Carbothermal reduction processes

  • Environmental influence on PV module performance

  • Machine learning applications in energy systems

  • Nanomaterials and surface analysis (AFM, XRD, SEM)

Awards and Honors🏆✨

  • Top Rank Student – 1st in Master’s Program (USTMB)

  • Top Rank Student – 2nd in Bachelor’s Program (USTMB)

  • Certificates Obtained:

    • XRD Training (Regaku Japan, 2015)

    • PV Panel Installation (CDER, 2020)

    • Project Management & Patent Treatment (2021)

    • ISO 17025 / ISO 9001 (2021)

    • Cisco Networking: CCNA Exploration (2019)

Conclusion🌟

Dr. Amina Chahtou is a dedicated materials scientist and renewable energy expert with deep experience in solar energy technologies, photovoltaic performance analysis, and advanced material processing. With international education and research experience in Japan and Algeria, and a growing publication record, she contributes significantly to the sustainable energy sector. Her multidisciplinary expertise and involvement in women-in-science initiatives position her as a prominent researcher advancing green technologies in North Africa and beyond.

Publications 📚

  1. 🌍 Techno-economic of Solar-powered Desalination for Green Hydrogen Production: Insights from Algeria with Global Implications
    International Journal of Hydrogen Energy (April 2025)
    🔗 DOI: 10.1016/j.ijhydene.2025.03.306
    👥 Amina Chahtou, Brahim Taoussi

  2. ⚡ Performance Degradation, Failures, and a New Strategy for Enhancing Efficiency: Selecting Optimal Polycrystalline Silicon PV Modules for Different Cities in Northern Algeria
    Journal of Failure Analysis and Prevention (Dec 2024)
    🔗 DOI: 10.1007/s11668-024-02083-6
    👥 Amina Chahtou, El Amin Kouadri Boudjelthia, Nesreddine Belhaouas

  3. ♨️ Optimization of Heating-Temperature on Carbothermal Reduction of Alumina for Production of Aluminum
    International Journal of Biosensors & Bioelectronics (Apr 2018)
    🔗 DOI: 10.15406/ijbsbe.2018.04.00099
    👥 Amina Chahtou

  4. ⚙️ Development of Real-time Weight Monitoring System for the Carbothermic Reduction Process of Silica
    Materials Transactions (2016)
    🔗 DOI: 10.2320/matertrans.M2016163
    👥 R. Benioub, A. Boucetta, A. Chahtou, S.M. Heddadj, M. Adnane, Y. Furuya, K. Itaka

  5. 🧪 Optimization of the Granulation Binders of High-Purity Carbothermic Reduction for Solar-grade Silicon
    Materials Transactions (2016)
    🔗 DOI: 10.2320/matertrans.M2016218
    👥 A. Boucetta, R. Benioub, A. Chahtou, S.M. Heddadj, T. Ogasawara, Y. Furuya, S. Hamzaoui, K. Itaka

  6. 🔍 Visual Degradation of PV Modules After 30 Years of Exposure in Algeria
    In Artificial Intelligence and Renewables Towards an Energy Transition (2021)
    🔗 DOI: 10.1007/978-3-030-63846-7_78
    👥 Amina Chahtou

  7. 🔬 Study of Carbothermal Reduction of Silica, Alumina and Titania Under Argon Gas
    In ICREEC 2019 Proceedings (2020)
    🔗 DOI: 10.1007/978-981-15-5444-5_37
    👥 Amina Chahtou

  8. 🌞 Study of STC Performance Outdoor for PV Modules Under Different Irradiation at Temperature of 25°C
    International Conference on Artificial Intelligence in Renewable Energetic Systems
    📍 Tipaza, Algeria – (Dec 2020)
    👥 Amina Chahtou

 

 

 

Weiwei Song | Spatiotemporal Cloud Computing | Best Researcher Award

Published on by Innovation Technologist

Dr. Weiwei Song | Spatiotemporal Cloud Computing | Best Researcher Award

Lecturer at Kunming University of Science and Technology, China

Dr. Weiwei Song is a Lecturer at the Faculty of Land Resources Engineering, Kunming University of Science and Technology. He specializes in spatiotemporal cloud computing, large-scale spatial data analytics, spatiotemporal artificial intelligence, and ecological-environmental monitoring. His research has significantly contributed to geospatial technology and natural resource management, with multiple ongoing projects funded by national and provincial agencies.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Earth Exploration and Information Technology – Kunming University of Science and Technology (2015)

  • Postdoctoral Research – George Mason University, USA (2017)

Professional Experience 💼

  • Lecturer (2018–Present) – Faculty of Land Resources Engineering, Kunming University of Science and Technology

  • Led multiple research projects in geospatial technology and artificial intelligence applications for environmental monitoring and natural resource management

  • Guest Editor for Annals of GIS, Special Issue: “Advancements of GIS in the New IT Era”

Research Interests 🔬

  • Spatiotemporal Cloud Computing

  • Big Spatiotemporal Data Analytics

  • Artificial Intelligence in Geospatial Analysis

  • Ecological-Environmental Monitoring

Awards and Honors🏆✨

  • 2019 – Second Prize, Science & Technology Progress Award (Chinese Society for Surveying, Mapping and Geoinformation)

  • 2020 – Engineering Gold Medal (China Association for Geographic Information Industry)

  • 2021 – First Prize, Yunnan Provincial Geomatics Advancement Award

  • 2022 – Third Prize, Yunnan Science & Technology Progress Award

Conclusion🌟

Dr. Weiwei Song is an accomplished researcher in geospatial sciences, with expertise in cloud computing and artificial intelligence applications for environmental monitoring. His contributions to major government-funded projects and recognition in scientific communities highlight his impact in the field. Through his academic and research endeavors, he continues to advance spatiotemporal data analytics and geospatial technologies, enhancing decision-making processes in natural resource management.

Publications 📚

1️⃣ Wei, Q., et al. (2025). 🛰️ Spatiotemporal estimation of surface NO₂ concentrations in the Pearl River Delta region based on TROPOMI data and machine learning. Atmospheric Pollution Research, 16(3): 102353.

2️⃣ Li, J., et al. (2024). 🌍 Study on Spatio-Temporal Indexing Model of Geohazard Monitoring Data Based on DataStream Clustering Algorithm. ISPRS International Journal of Geo-Information, 13(3): 93.

3️⃣ Chen, J., et al. (2024). 🤖 1DCAE-TSSAMC: Two-Stage Multi-Dimensional Spatial Features Based Multi-View Deep Clustering for Time Series Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 32(04): 593-623.

4️⃣ You, N., et al. (2023). 🖼️ Research on image denoising in edge detection based on wavelet transform. Applied Sciences, 13(3): 1837.

5️⃣ You, N., et al. (2023). 🏞️ Research on Wavelet Transform Modulus Maxima and OTSU in Edge Detection. Applied Sciences, 13(7): 4454.

6️⃣ Lu, J., et al. (2023). 🍏 A Study of Apple Orchards Extraction in the Zhaotong Region Based on Sentinel Images and Improved Spectral Angle Features. Applied Sciences, 13(20): 11194.

7️⃣ Li, Y., et al. (2023). ☁️ A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment. Applied Sciences, 13(3): 1869.

8️⃣ Song, W. and C. Wu (2021). 🗺️ Introduction to advancements of GIS in the new IT era. Taylor & Francis, 27: 1-4.

9️⃣ Hu, F., et al. (2020). 💾 A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data. International Journal of Digital Earth, 13(3): 410-428.

🔟 Jin, B., et al. (2019). 🛰️ Object-oriented method combined with deep convolutional neural networks for land-use-type classification of remote sensing images. Journal of the Indian Society of Remote Sensing, 47: 951-965.

Chunyan Niu | Acid Related Diseases | Best Researcher Award

Published on by Innovation Technologist

Prof. Chunyan Niu | Acid Related Diseases | Best Researcher Award

Chief Physician, Professor at Southeast University, China

Dr. Niu Chunyan is a distinguished medical professional specializing in gastroenterology. She holds the titles of Doctor of Medicine, Chief Physician, Professor, and Master’s Supervisor. Dr. Niu is an active member of the Asian Pacific Association for the Study of the Liver (APASL) and serves as an expert evaluator for the Ministry of Education and several academic organizations. Additionally, she is a standing committee member of the Traditional Chinese Medicine Chronic Disease Prevention and Education Committee under the China Medical Education Association and a member of the Jiangsu Non-alcoholic Fatty Liver Disease Academic Alliance Special Committee. She also holds a part-time professorship at Wannan Medical College. Dr. Niu has contributed extensively to academia, serving on the editorial boards of multiple renowned medical journals.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (M.D.)

Professional Experience 💼

  • Chief Physician and Professor in Gastroenterology
  • Master’s Supervisor
  • Expert in professional degree level assessment, doctoral dissertation evaluation, and CNKI evaluation database
  • Part-time Professor at Wannan Medical College
  • Editorial board member of:
    • Clinical Hepatobiliary Journal
    • World Chinese Digestive Journal
    • Practical Medicine Journal
    • Chinese Medical Guide
    • Chinese Journal of Medical Sciences

Research Interests 🔬

  • Basic and clinical research on liver diseases
  • Acid-related diseases
  • Functional gastrointestinal diseases
  • Mechanisms and targeted therapies for non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH)
  • Critical gastrointestinal conditions such as pancreatitis, gastrointestinal bleeding, and liver failure
  • Helicobacter pylori infection-related diseases

Awards and Honors🏆✨

  • Published over 80 papers as the first author and corresponding author, including 10+ SCI papers and 8 MEDLINE-indexed papers
  • Presented research at international conferences:
    • 2 Digestive Disease Week (DDW) conferences (2004)
    • 3 Asian Pacific Digestive Week (APDW) conferences (2012, 2017)
  • Deputy editor-in-chief of an undergraduate textbook for the 12th Five-Year Plan
  • Contributor to three monographs
  • Principal investigator in multiple research projects:
    • 1 National Natural Science Foundation project (first participant)
    • 1 Ministry of Health special project
    • 5 provincial and ministerial-level projects
    • 3 provincial and ministerial key discipline construction projects
    • 2 national multi-center research projects
    • 1 national-level college student innovation and entrepreneurship training program (2013)
  • Awarded the Third Prize of the Shaanxi Provincial Higher Education Science and Technology Award for research on acid-related diseases (Project Leader, Project Number 17O10)

Conclusion🌟

Dr. Niu Chunyan is a highly accomplished expert in gastroenterology, with extensive experience in clinical practice, medical research, and academic mentorship. Her contributions to the understanding and treatment of liver diseases, acid-related disorders, and critical digestive conditions have been recognized through prestigious publications, awards, and leadership roles in national and international medical communities. She continues to advance the field through her ongoing research and dedication to medical education and professional development.

Publications 📚

📌 Amitriptyline inhibits NLRP3 inflammasome activation via the ASM/CE pathway in a cell model of NAFLD
📖 Biocell, 2024
🔗 DOI: 10.32604/biocell.2024.048551
👥 Authors: Liu, Q.; Niu, C.; Zhang, Q.; Sun, S.; Chen, Y.; Shi, Y.

📌 The Absence of STING Ameliorates Non-Alcoholic Fatty Liver Disease and Reforms Gut Bacterial Community
📖 Frontiers in Immunology, 2022
🔗 DOI: 10.3389/fimmu.2022.931176
👥 Authors: Zhang, Q.; Chen, Q.; Yan, C.; Niu, C.; Zhou, J.; Liu, J.; Song, Y.; Zhou, F.; Fan, Y.; Ren, J.

📌 Application of potassium competitive acid blockers in acid-related diseases (钾离子竞争性酸阻滞剂在酸相关疾病中的应用)
📖 World Chinese Journal of Digestology, 2021
🔗 DOI: 10.11569/wcjd.v29.i8.383
👥 Authors: Niu, C.-Y.; Luo, X.-C.

📌 Effect of amitriptyline on lipid deposition and biochemical metabolism in a cell model of NAFLD (阿米替林对非酒精性脂肪性肝病细胞模型脂质沉积及生化代谢的影响)
📖 Journal of Clinical Hepatology, 2021
🔗 DOI: 10.3969/j.issn.1001-5256.2021.01.020
👥 Authors: Liu, Q.; Zhang, Q.; Wu, F.; Yan, R.; Li, R.; Wang, J.; Niu, C.

📌 Liraglutide alleviates lipotoxic liver cell damage and promotes autophagy to improve NAFLD
📖 Chinese Journal of Hepatology, 2021
🔗 DOI: 10.3760/cma.j.cn501113-20200427-00219
👥 Authors: Zhang, Q.; Liu, Q.; Niu, C.Y.

📌 Application prospects of GLP-1 receptor agonists in treatment of metabolic diseases (胰高血糖素样肽-1受体激动剂在代谢性疾病治疗中的应用前景)
📖 World Chinese Journal of Digestology, 2020
🔗 DOI: 10.11569/wcjd.v28.i11.393
👥 Authors: Zhang, Q.; Zhang, X.-F.; Niu, C.-Y.

📌 Bioinformatics analysis reveals novel core genes associated with NAFLD and NASH
📖 Gene, 2020
🔗 DOI: 10.1016/j.gene.2020.144549
👥 Authors: Feng, G.; Li, X.-P.; Niu, C.-Y.; Liu, M.-L.; Yan, Q.-Q.; Fan, L.-P.; Li, Y.; Zhang, K.-L.; Gao, J.; Qian, M.-R.

📌 Hepatic macrophage-targeted therapy for fatty liver disease: Opportunities and challenges (肝巨噬细胞靶向治疗脂肪性肝病及相关肝癌的机遇与挑战)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.06.045
👥 Authors: Niu, C.; Zhao, X.

📌 Influence of drinking on NAFLD (饮酒对非酒精性脂肪性肝病的影响)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.11.044
👥 Authors: Niu, C.; Zhang, Q.; Zhao, X.

📌 Reexamination of the diagnosis of fatty liver disease under the background of disease spectrum progression (疾病谱进展背景下脂肪性肝病诊断的重新审视)
📖 Journal of Clinical Hepatology, 2020
🔗 DOI: 10.3969/j.issn.1001-5256.2020.10.043
👥 Authors: Niu, C.; Liu, Q.; Luo, X.

 

 

 

 

Yuxin Ma | Neuroscience | Best Researcher Award

Published on by Innovation Technologist

Dr. Yuxin Ma | Neuroscience | Best Researcher Award

DR at Guangdong Pharmaceutical University, China

Dr. Yuxin Ma is a neuroscientist affiliated with Guangdong Pharmaceutical University. Her research focuses on neuropharmacology, particularly the effects of natural compounds on pain mechanisms and their affective comorbidities. She has made significant contributions to understanding the neural pathways involved in pain processing and has authored a high-impact study on the analgesic effects of astragalin.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: Guangdong Pharmaceutical University

  • Field of Study: Neuroscience

Professional Experience 💼

  • Designation: Researcher at Guangdong Pharmaceutical University

  • Key Responsibilities: Leading research on neuropharmacology, particularly investigating the therapeutic effects of natural compounds in pain modulation.

Research Interests 🔬

  • Neuropharmacology of natural compounds

  • Neural mechanisms underlying pain and associated affective disorders

  • Autophagy and neuronal excitability in pain pathways

Conclusion🌟

Dr. Yuxin Ma’s research significantly advances the understanding of pain modulation through natural compounds. Her work on astragalin provides groundbreaking insights into its dual role in inhibiting neuronal excitability and promoting autophagy, paving the way for novel neurotherapeutic approaches. She remains committed to expanding the field of neuroscience and neuropharmacology through innovative research and collaboration.

Publications 📚

📄 Article: Astragalin relieves inflammatory pain and negative mood in CFA mice by down-regulating mGluR5 signaling pathway
👥 Authors: R. Zhang, Runheng; J. Lin, Jiahong; S. Wang, Shuhan; … L. Zhang, Li; Y. Ma, Yuxin
📚 Journal: Scientific Reports, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin activates autophagy and inhibits apoptosis of astrocytes in AD mice via down-regulating Fas/Fasl-VDAC1 pathway
👥 Authors: S. Wang, Shuhan; Y. Yang, Yaqi; J. Lin, Jiahong; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: Free Radical Biology and Medicine, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin inhibits neuronal excitability and activates neuronal autophagy in the ACC and LH of CFA mice to alleviate inflammatory pain and pain-related emotions
👥 Authors: J. Lin, Jiahong; W. Zhang, Weishan; S. Wang, Shuhan; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: International Immunopharmacology, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

Ke Wang | Travel Demand Modeling | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Ke Wang | Travel Demand Modeling | Best Researcher Award

Associate Professor at University of Shanghai for Science and Technology, China

Ke Wang is an Associate Professor at the University of Shanghai for Science and Technology, specializing in travel behavior analysis, travel demand modeling, sustainable mobility, and data mining. His research contributions focus on advanced econometric models and machine learning techniques for understanding travel behavior and transportation systems. With over 190 citations, an H-index of 7, and an i-10 index of 6, Ke Wang has published extensively in high-impact transportation journals and conferences.

Publication Profile 

Scopus

Educational Background 🎓

  • Joint Ph.D. in Transportation Engineering (2018.09 – 2019.09)

    • University of Texas at Austin

    • Supervisor: Prof. Chandra R. Bhat

  • Ph.D. in Transportation Engineering (2015.09 – 2021.01)

    • Tongji University

    • Supervisor: Prof. Xin Ye

  • B.E. in Transportation Engineering (2011.09 – 2015.06)

    • Chang’an University

Professional Experience 💼

  • Associate Professor (2024.07 – Present)

    • University of Shanghai for Science and Technology

  • Assistant Professor (2021.06 – 2024.06)

    • University of Shanghai for Science and Technology

  • Research Assistant (2018.09 – 2019.09)

    • Center for Transportation Research, University of Texas at Austin

  • Research Assistant (2013.12 – 2015.06)

    • Institute of Regional and Urban Transportation Economics, Chang’an University

Research Interests 🔬

  • Travel Behavior Analysis & Travel Demand Modeling

  • Sustainable Mobility & Urban Transportation Planning

  • Advanced Econometric & Machine Learning Models for Transportation

  • Shared Autonomous Vehicles & Ride-Hailing Services

  • Public Transport Accessibility & Mode Choice Analysis

Conclusion🌟

Ke Wang is a rising scholar in transportation engineering, contributing innovative methodologies to travel behavior modeling and sustainable mobility. His research integrates statistical modeling, artificial intelligence, and urban transportation systems to inform policy decisions. His extensive publication record in top-tier journals (SSCI, SCI, JCR Q1-Q3) demonstrates his influence in the field.

Publications 📚

📄 Article | ✈️ Urban Air Mobility & Flying Cars
Title: Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars
Authors: S. Hu, Z. Huang, K. Wang, H. Lin, M. Pei
Journal: Multimodal Transportation (2025)
📌 Citations: 0

📄 Article | 🚲 E-Bike Helmet Usage & Safety
Title: Deconstructing the barriers and facilitators of e-bike helmet usage: A structural equation modeling approach
Authors: M. Pei, Z. Huang, K. Wang, X. Ye
Journal: Journal of Transport and Health (2025)
📌 Citations: 0

📄 Article | 🚗 Mobility as a Service (MaaS) & Face Consciousness
Title: The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China
Authors: J. Wen, H. Gan, K. Wang, Y. Huang, H. Lu
Journal: Research in Transportation Economics (2025)
📌 Citations: 0

📄 Article | ⚡ EV Range Anxiety & Willingness to Pay
Title: Range anxiety and willingness to pay: Psychological insights for electric vehicles
Authors: M. Pei, Z. Huang, Z. Zhang, K. Wang, X. Ye
Journal: Journal of Renewable and Sustainable Energy (2025)
📌 Citations: 0

📄 Article | 🌍 Carbon Emissions & Power Sector Transformation
Title: Carbon emission drivers of China’s power sector and its transformation for global decarbonization contribution
Authors: L. Zhao, K. Wang, H. Yi, J. Zhen, H. Hu
Journal: Applied Energy (2024)
📌 Citations: 4