Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award

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Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award 

Prof. Dr. Cedric Sueur, Université de Strasbourg, France

Cédric Sueur is a French ethologist and primatologist renowned for his contributions to the study of animal behavior and social ecology. He is a Full Professor at the University of Strasbourg and a Fellow of the Institute for Advanced Study, as well as a member of the French Academic Institute. He holds a Ph.D. in Ethology from Louis Pasteur University, Strasbourg, and the Free University of Brussels, along with an HDR qualification to supervise doctoral theses. Throughout his career, he has held prestigious academic positions, including Associate Professor at the University of Strasbourg, Visiting Professor at Kyoto University, Sun Yat-sen University, and Lille Catholic University. His research has been widely recognized, earning him numerous accolades such as the Changjiang Scholar Program award, the Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium, and recognition among the world’s top 2% of scientists by Stanford University. With a strong academic and research background, Sueur continues to contribute significantly to the field of ethology and primatology.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Cédric Sueur

Cédric Sueur is a highly accomplished researcher in Ethology and Primatology, making him a strong contender for the Best Researcher Award. His outstanding academic background, extensive research contributions, prestigious honors, and leadership in the scientific community establish him as an influential figure in his field.

🎓 Education

  • 2014: HDR, Habilitation to Supervise Doctoral Theses

  • 2008: PhD in Ethology – Primatology, Louis Pasteur University, Strasbourg & Free University of Brussels

  • 2005: Master’s Degree, University Louis Pasteur, Strasbourg (With Honours)

  • 2003: Bachelor’s in Organisms’ Biology, University 14USTL, Lille (With Honours)

💼 Work Experience

  • Since 2024: Full Professor, University of Strasbourg

  • Since 2021: Invited Professor, Lille Catholic University

  • 2011-2024: Associate Professor, University of Strasbourg (Outstanding since 2022)

  • 2022 (Jan-Mar): Invited Professor, Kyoto University Institute for Advanced Study

  • 2016 (Jul-Aug): Invited Professor, Sun-Yat Sen University, China (Changjiang Scholar Program award)

  • 2008-2012: Research Associate, Unit of Social Ecology, Free University of Brussels

  • 2010-2011: Research Fellow, Primate Research Institute, Kyoto University

  • 2009-2010: Research Associate, Ecology & Evolutionary Biology, Princeton University

  • 2007-2008: Lecturer in Ethology, Strasbourg University

🏆 Awards & Honors

  • 2025: Selected for the Lumexplore Prize by the French Society of Explorers 🏅

  • 2025: Selected for the François Sommer Prize 🏆

  • 2024-2029: Member of the “Institut Universitaire de France” 🎖️

  • 2023: Best Communication Prize at Aramos Congress 🏅

  • 2023: Named Best Scientist by Research.com 🌍

  • 2022: Listed among the World’s Top 2% of Scientists by Stanford University 📊

  • 2022: Named Best Scientist by Research.com 🏅

  • 2019: Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium 🏆

  • 2019-2024: Fellow of the Institut Universitaire de France 🎖️

  • 2017: Primates Social Impact Award 🏅

  • 2016: Changjiang Scholar Program Award (Visiting Professor at Sun-Yat Sen University, China) 🇨🇳

  • 2014: Excellence Award from the French Minister of Higher Education and Research 🎓

  • 2013: Young Scientist Award from the French Society for the Study of Animal Behaviour (SFECA) 🏅

  • 2012: 3 papers among the Top 5 Cited Papers in International Journal of Primatology 📜

  • 2012: Fellow of the University of Strasbourg Institute for Advanced Study (USIAS) 🎓

  • 2010: JSPS Alumni (Japan Society for the Promotion of Science) 🇯🇵

  • 2009: Fulbright Alumni 🇺🇸

  • 2009: Prize of the Society of Biology of Strasbourg for Best Thesis 📜

  • 2009: “Le Monde de la Recherche Universitaire” Prize for Best Thesis 🎓

  • 2006-2010: Member of the European Doctoral College of Strasbourg 🌍

Publication Top Notes:

GITED:775
GITED:364
GITED:278
GITED:262
GITED:192
GITED:179
GITED:168

Vasyl Martsenyuk | Data Science | Best Researcher Award

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Vasyl Martsenyuk | Data Science | Best Researcher Award

Prof. Vasyl Martsenyuk, University of Bielsko-Biala, Poland.

Prof. Vasyl Martsenyuk is a prominent academic in the field of Computer Science and Automation, currently serving as a Full Professor and Head of the Department at the University of Bielsko-Biała, Poland. With a strong background in data science, machine learning, and cybernetics, he has significantly contributed to educational reforms and various research projects in Europe. An active member of international academic communities, Prof. Martsenyuk has published extensively and engaged in numerous collaborations, fostering advancements in digital pedagogy and applied artificial intelligence. His dedication to education and research continues to inspire students and colleagues alike. 🎓🌍💻

Publication Profile

Scopus
Orcid

Education and Experience

Education:
  • Ph.D. in Technical Sciences (2005)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 📚
  • Diploma of Full Professor in Medical Informatics with Biophysics (2005)
    Ministry of Education and Sciences of Ukraine 🇺🇦
  • Candidate of Physical and Mathematical Sciences (Ph.D.) (1996)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics
    Specialty: System Analysis and Decision Making 🎓
  • Diploma in Applied Mathematics (1993)
    Kyiv Taras Shevchenko National University, Faculty of Cybernetics, Ukraine 🧮
  • Diploma in Pharmacy (2010)
    Kharkiv National Pharmaceutical University, Ukraine 💊
Experience:
  • Full Professor & Head of Department (2020-Present)
    University of Bielsko-Biała, Department of Computer Science and Automation 🏫
  • Associate Professor (2015-2020)
    University of Bielsko-Biała, Department of Computer Science and Automation 👨‍🏫
  • Scientific Supervisor (2014-2016)
    Institute of Information Technologies and Learning Tools, National Academy of Pedagogical Sciences of Ukraine 🔬
  • Full Professor & Head of Medical Informatics Department (2005-2016)
    Ternopil Medical University, Ukraine 🏥
  • Vice-Rector (2005-2015)
    Ternopil Medical University, Ukraine 🎖️

Suitability For The Award

Prof. Vasyl Martsenyuk is a distinguished academic with a strong educational foundation, extensive professional experience, and significant contributions to computer science, medical informatics, and cybernetics. He has excelled in research areas such as data science, artificial intelligence, and system analysis, alongside leadership roles in academia and international projects. With numerous awards, publications, and innovative initiatives, he has demonstrated exceptional expertise and dedication. His impactful work and commitment to advancing knowledge make him highly deserving of the Best Researcher Award.

Professional Development

Prof. Martsenyuk has engaged in numerous international traineeships, focusing on advancements in digital pedagogy, applied artificial intelligence, and big data innovations. Notably, he participated in the Erasmus+ program and collaborated with institutions such as the University of Montenegro and Charles University in Prague. His efforts have emphasized fostering digital learning environments and enhancing educational methodologies in the fields of medicine and technology. These experiences reflect his commitment to continuous professional growth and adaptation to emerging technological trends in education. 🌐📚✨

Research Focus

Prof. Martsenyuk’s research centers on data science, encompassing machine learning, artificial intelligence, and big data analysis. He explores the application of reinforcement learning within cybernetics, focusing on control theory and system analysis. His mathematical investigations include functional-differential equations, population dynamics, and stability analysis. By integrating these disciplines, he aims to develop innovative solutions that advance scientific computing and enhance decision-making processes in complex systems. Prof. Martsenyuk’s work significantly contributes to the advancement of knowledge in computer science and its practical applications. 🔍📊🤖

Awards and Honors

  • Award of the Supreme Council of Ukraine (2007) 🏅
  • Award of the Prime Minister of Ukraine (2009) 🎖️

Publication Top Notes

  • A Method to Improve the Accuracy of Bridge Cranes Overload Protection Using the Signal Graph (2024) 📖
  • Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges (2024)
  • On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research (2024)
  • The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane (2024) 📖
  • Amperometric Biosensor Based on Glutamate Oxidase to Determine Ast Activity (2024) 📰
  • Аналітичний огляд підходів до проектування виробничих мереж (2024)
  • Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements (2024)

Ruochen Li | Artificial Intelligence | Best Researcher Award

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Ruochen Li | Artificial Intelligence | Best Researcher Award

Dr. Ruochen Li, BOHUA UHD Co., Ltd. , China.

Ruochen Li, PhD candidate at Macau University of Science and Technology, specializes in Artificial Intelligence with a focus on no-reference video quality assessment, cross-modal audio-visual retrieval, and image-based sound source localization. With expertise in cutting-edge AI technologies like PyTorch, TensorFlow, and MindSpore, Li has achieved groundbreaking research in video quality evaluation and audio-visual content correlation, earning recognition in top-tier journals. He has also received a prize in the National Artificial Intelligence Competition for his contributions to ultra-high-definition video processing. 📊📹🔍

Publication Profile

Scopus

Education and Experience

  • 🎓 PhD in Artificial Intelligence (2021-2024), Macau University of Science and Technology.
  • 🎓 Master’s in Control Engineering (2016-2019), Jiangsu University of Science and Technology.
    • Supervisor: Associate Prof. Shuxia Ye.
  • 🎓 Bachelor’s in Control Engineering (2012-2016), Jiangsu University of Science and Technology.
  • 📑 Research Participant: National Ultra-High Definition Video Innovation Center.
  • 📑 Research Contributor: China Science and Technology Information Research Institute.

Suitability For The Award

Dr. Ruochen Li is an accomplished researcher specializing in artificial intelligence, video quality assessment, and audio-visual event retrieval. With a Ph.D. in Artificial Intelligence from Mauca University of Science and Technology and extensive expertise in PyTorch, TensorFlow, and MindSpore, Li has contributed significantly to advancing multimedia technologies. Their innovations include state-of-the-art datasets, algorithms like Reformer, and multimodal fusion techniques with applications in accessibility, entertainment, and surveillance. Recognized through high-impact publications and awards, including third prize in the National Artificial Intelligence Competition, Ruochen Li exemplifies excellence in research and innovation, making them a strong candidate for prestigious honors such as the Best Researcher Award.

Professional Development

Ruochen Li’s professional journey is defined by innovations in AI and deep learning. He developed the UHD-VQ5k dataset and proposed novel algorithms for ultra-high-definition video quality assessment, utilizing advanced models like Resformer. His work in audio-visual content analysis, featured in his doctoral dissertation, emphasizes the integration of audio-visual features using deep neural networks. As a key participant in national projects, he has contributed to cloud-based UHD video platforms and AI policy analysis. His collaborations and publications underscore his commitment to advancing AI research and applications. 📊🤖📈

Research Focus

Ruochen Li’s research revolves around Artificial Intelligence applications in multimedia. His expertise spans no-reference video quality assessment, where he develops datasets and benchmarks for UHD video, to cross-modal audio-visual retrieval, enhancing machine understanding of multimodal content. His work also extends to image-based sound source localization, integrating audio-visual data for precise event detection. Through pioneering algorithms, Li bridges gaps between modalities, advancing the interplay of audio and video content in deep learning applications. His contributions drive progress in multimedia AI. 🎥🔊🧠

Awards and Honors

  • 🏆 Prize Winner: National Artificial Intelligence Competition.
  • 🏅 CET-6 Certificate: Scored 490.
  • 🏅 CET-4 Certificate: Scored 552.

Publication Top Notes

  • 📜 SgLFT: Semantic-guided Late Fusion Transformer for Video Corpus Moment Retrieval – Neurocomputing, 2024. 📚
  • 📜 Ultrahigh-definition Video Quality Assessment: A New Dataset and Benchmark – Neurocomputing, 2024, 📊
  • 📜 TA2V: Text-Audio Guided Video Generation – IEEE Transactions on Multimedia, 2024, 🎥🎶
  • 📜 Cross-Modality Knowledge Calibration Network for Video Corpus Moment Retrieval – IEEE Transactions on Multimedia, 2024,  🌐📑
  • 📜 Maximizing Mutual Information Inside Intra- and Inter-Modality for Audio-Visual Event Retrieval – International Journal of Multimedia Information Retrieval, 2023, 🔗🎧

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

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Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award 

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

  • 2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
  • 2021: Health Services Management Certificate
  • 2016: Ph.D. in Medical Sciences, Ophthalmology
  • 2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
  • 2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

  • 2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
  • 2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
  • 2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
  • 2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
  • 2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
  • 2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
  • 2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

  • Romanian Society of Ophthalmology (2006-present)
  • European Society of Retina Specialists (2011-present)
  • European Society of Ophthalmology (2011-present)

Publication Top Notes

The use of artificial neural networks in studying the progression of glaucoma

Navigating Surgical Challenges: Managing Juvenile Glaucoma in a Patient with Dorfman–Chanarin Syndrome

A Mini-Review on Gene Therapy in Glaucoma and Future Directions

White Light Diffraction Phase Microscopy in Imaging of Breast and Colon Tissues

Initial Clinical Experience with Ahmed Valve in Romania: Five-Year Patient Follow-Up and Outcomes

Odontogenic Orbital Cellulitis at the Crossroads of Surgeries: Multidisciplinary Management and Review

Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award

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Dr. Tara P Banjade | Artificial Intelligence Awards | Best Researcher Award 

Dr. Tara P Banjade, East China University of Technology, Nanchang, China

Dr. Tara P. Banjade is an Associate Professor at the East China University of Technology, Nanchang, China, specializing in applied mathematics, seismic signal processing, and artificial intelligence applications for seismic data processing. He completed his Ph.D. in Applied Mathematics at Harbin Institute of Technology in China in 2020, following a Master’s and Bachelor’s in Mathematics from Tribhuvan University, Nepal. Dr. Banjade’s research focuses on developing mathematical algorithms for denoising seismic data, including 1D earthquake signals and 2D geophysical data like oil, gas, and ground-penetrating radar (GPR) data. His innovative approaches employ techniques such as variational mode decomposition, wavelet transforms, and artificial intelligence, including DARE U-Net for seismic noise attenuation and self-guided singular value decomposition for data edge detection.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Dr. Tara P. Banjade demonstrates an impressive academic and research profile, particularly within Applied Mathematics and Seismic Signal Processing, fields which align closely with the scope of the Best Researcher Award. His doctoral education from Harbin Institute of Technology and ongoing research position at East China University of Technology position him as a strong candidate.

Education

  1. Harbin Institute of Technology, Harbin, China
    • Ph.D. in Applied Mathematics
    • Duration: September 2015 – January 2020
  2. Tribhuvan University, Kathmandu, Nepal
    • Master’s in Mathematics
    • Duration: 2012 – 2014
  3. Tribhuvan University, Kathmandu, Nepal
    • Bachelor’s in Mathematics
    • Duration: 2006 – 2010

Work Experience

  1. Associate Professor
    • Institution: East China University of Technology, School of Geophysics and Measurement-Control Technology, Nanchang, Jiangxi, China
    • Duration: March 2023 – Present
  2. Founder/Chairperson
    • Organization: Intellisia Institute for Research and Development, Nepal
  3. Research Director
    • Organization: Girija Prasad Koirala Foundation
    • Duration: 2020 – Present
  4. Visiting Scientist
    • Institution: Research Centre for Applied Science and Technology (RECAST), Tribhuvan University, Nepal
  5. Founding Member and Mathematics Lecturer
    • Institution: Arunima College, Tribhuvan University, Nepal
    • Duration: 2020 – 2023
  6. Executive Member
    • Organization: Nepal Mathematical Society
    • Duration: 2021 – 2024
  7. Visiting Faculty
    • Institution: School of Mathematical Science, Tribhuvan University, Nepa.

Publication top Notes:

Seismic Random Noise Attenuation Using DARE U-Net

Enhancing seismic data by edge-preserving geometrical mode decomposition

Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

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Assoc Prof Dr. Wenlong Hang | Artificial Intelligence Award | Best Researcher Award

Assoc Prof Dr. Wenlong Hang, Nanjing Tech University, China

Wenlong Hang holds a Doctor of Engineering degree from Jiangnan University, where he graduated in June 2017, specializing in Light Industry Information Technology. During his doctoral studies, he visited both Hong Kong Polytechnic University and the Shenzhen Institutes of Advanced Technology. Since September 2017, Dr. Hang has been a faculty member at the School of Computer Science and Technology at Nanjing Tech University. His research interests primarily focus on artificial intelligence and machine learning, with a particular emphasis on medical image analysis and EEG signal processing. He has published more than 30 papers in reputable journals and conferences, contributing significantly to semi-supervised learning, federated learning, and EEG classification techniques. His representative works include research on medical image segmentation, reliability-aware semi-supervised frameworks, and domain-generalized EEG classification.

Professional Profile:

Summary of Suitability for Best Researcher Award :

Wenlong Hang is highly suitable for the Best Researcher Award based on his extensive research and contributions in the fields of artificial intelligence, machine learning, and medical image processing. His academic background, with a Doctor of Engineering degree from Jiangnan University, and professional experiences at institutions like Hong Kong Polytechnic University and Shenzhen Institutes of Advanced Technology, demonstrates his deep involvement in advanced technological research.

Education:

  • Doctor of Engineering (Graduated in June 2017)
    • Major: Light Industry Information Technology
    • Institution: Jiangnan University
    • Doctoral Visits: Hong Kong Polytechnic University, Shenzhen Institutes of Advanced Technology

Work Experience:

  • Since September 2017: Faculty Member
    • Position: Professor at the School of Computer Science and Technology
    • Institution: Nanjing Tech University

Research Areas:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Medical Image Segmentation
  • EEG Classification

Publication top Notes:

CITED: 109
CITED: 109
CITED: 73
CITED: 67
CITED: 34
CITED: 33

 

Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

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Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

Prof. Hsin-Yuan Chen, Zhejiang University, Taiwan

H.Y. J. Chen is an accomplished researcher with expertise spanning multiple fields including bioengineering, materials science, and guidance system technologies. Holding a Web of Science ResearcherID (JSL-7102-2023) , Chen has an impressive H-index of 58, with over 11,000 citations accumulated from works published between January 2000 and March 2024. Some of Chen’s notable contributions include studies on biochar anodes for lithium-ion batteries, computational fluid dynamics (CFD) analysis of cormorant takeoff mechanisms, and innovations in van der Waals semiconductor photodetectors. Chen’s interdisciplinary work also extends into preprints and collaboration on machine learning applications in conformal field theories.

Professional Profile:

Scopus

Suitability Summary for Research for Outstanding Scientist Award

Researcher: H.Y. J. Chen

Summary:

H.Y. J. Chen stands out as a highly suitable candidate for the Research for Outstanding Scientist Award due to his exceptional contributions and interdisciplinary expertise across multiple scientific domains. Chen’s research spans bioengineering, materials science, and guidance system technologies, showcasing a profound impact on these fields.

🎓Education:

H.Y. J. Chen is an accomplished researcher with expertise in bioengineering, materials science, and guidance system technologies. Chen earned both his Master’s and Bachelor’s degrees, as well as a Ph.D., from Zhejiang University, Hangzhou, China.

Publication Top Notes:

  • Protective Effects of an Oligo-Fucoidan-Based Formula Against Osteoarthritis Development via iNOS and COX-2 Suppression Following Monosodium Iodoacetate Injection
    • Citations: 0
  • Hinokitiol Inhibits Breast Cancer Cells In Vitro Stemness-Progression and Self-Renewal with Apoptosis and Autophagy Modulation via the CD44/Nanog/SOX2/Oct4 Pathway
    • Citations: 1
  • Alleviating 3-MCPD-Induced Male Reproductive Toxicity: Mechanistic Insights and Resveratrol Intervention
    • Citations: 1
  • Hinokitiol as a Modulator of TLR4 Signaling and Apoptotic Pathways in Atopic Dermatitis
    • Citations: 1
  • Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
    • Citations: 7

 

 

Mr. CHENGYONG JIANG | Machine Learning Award | Best Researcher Award

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Mr. CHENGYONG JIANG | Machine Learning Award | Best Researcher Award 

Mr. CHENGYONG JIANG, Fudan university, China

Chengyong Jiang is a promising neurobiology Ph.D. candidate at Fudan University, China, with an outstanding academic record and significant research experience. He earned his Master’s degree in Biotechnology from Minzu University of China, graduating in the top 5% of his class, and is currently pursuing his doctoral studies at Fudan University, where he is ranked in the top 10% of his cohort. Jiang’s research focuses on the regulation of sleep and eye movement by cholinergic neurons in the oculomotor nerve nucleus. Jiang has demonstrated a strong commitment to academic and practical excellence through various roles, including as a teaching assistant at Beijing Foreign Studies University and a high school biology tutor at Hangzhou Zhipeng Network Technology Co., Ltd. His involvement in innovative projects, such as studying the therapeutic effects of Polygonum multiflorum on stress-induced depression and leading a social practice team analyzing undergraduate education in biology, highlights his leadership and research capabilities.

Professional Profile:

Summary of Suitability for Best Researcher Award:

Chengyong Jiang has demonstrated a strong academic background and research capability in neurobiology and biotechnology. His work, including his master’s research on stress-induced depression and his ongoing doctoral research on sleep and eye movement regulation, reflects a deep understanding of complex biological processes. His publications in reputable journals like Frontiers in Neuroscience and Advanced Science underscore his ability to conduct impactful and high-quality research.

Education

Fudan University, Shanghai, China
Neurobiology Doctor
September 2020 – June 2026
Top 10%

Minzu University of China, Beijing, China
Master of Biotechnology
September 2015 – June 2019
Top 5%

Work Experience

Institutes of Brain Science, Fudan University
Researcher
September 2020 – Present

  • Conducting research on “Regulation of sleep and eye movement by cholinergic neurons in the nucleus of the oculomotor nerve.”

Hangzhou Zhipeng Network Technology Co., Ltd., Hangzhou, China
High School Biology Tutor (Part-time)
September 2017

  • Provided online tutoring in biology to middle and high school students.

Beijing Foreign Studies University, Beijing, China
Teaching Assistant
July 2017 – September 2017

  • Participated in and organized the “E PLUS Beiwai Yijia Study Tour” summer camp, served as homeroom teacher, and assisted in English teaching activities.

Publication top Notes:

MLS-Net: An Automatic Sleep Stage Classifier Utilizing Multimodal Physiological Signals in Mice

Exosomes Derived from M2 Microglial Cells Modulated by 1070-nm Light Improve Cognition in an Alzheimer’s Disease Mouse Model.

Tracking Eye Movements During Sleep in Mice.

2,3,5,4′-Tetrahydroxystilbene-2-O-beta-D-glucoside Reverses Stress-Induced Depression via Inflammatory and Oxidative Stress Pathways.

Mr. Lianfa Li | Artificial Intelligence Award | Top Researcher Award

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Mr. Lianfa Li | Artificial Intelligence Award | Top Researcher Award 

Mr. Lianfa Li, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China 

Dr. Lianfa Li is a distinguished Senior Research Associate and Lead Data Scientist at the University of Southern California’s Department of Population and Public Health Sciences. Since August 2017, he has been at the forefront of innovations in data science and machine learning, with a particular focus on remote sensing and air pollution modeling to study exposure and health effects. Dr. Li’s academic journey began with a Bachelor of Science in Resources, Planning, and Management from Nanjing University in 1998, followed by a Ph.D. in Geographical Information Science from the Institute of Geographical Sciences and Natural Resources Research at the Chinese Academy of Sciences in 2005. His career includes significant roles such as Associate Professor at the Chinese Academy of Sciences, Postdoctoral Scholar and Associate Specialist at the University of California, Irvine, and Research Associate at USC’s Department of Preventive Medicine.

Professional Profile:

 

ORCID

 

Summary of Suitability for the Top Researcher Award

Lianfa Li, PhD, currently a Senior Research Associate and Lead Data Scientist at the University of Southern California’s Department of Population and Public Health Sciences, is an exemplary candidate for the Top Researcher Award. His extensive background in data science and machine learning, particularly in the realm of remote sensing and air pollution exposure, positions him as a leader in his field. Below are the reasons why Dr. Li is suitable for this prestigious award:

EDUCATION 🎓📚

  • PhD in Geographical Information Science (June 2005)
    Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
    Advisor: Prof. Jinfeng Wang
  • Bachelor of Science in Resources, Planning and Management (Aug 1998)
    Nanjing University, Nanjing, Jiangsu Province, China
    Advisor: Prof. Yunliang Shi

ACADEMIC EMPLOYMENT 🏛️💼

  • Senior Research Associate, Lead Data Scientist (Aug 2017-Present)
    Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
    Leading innovations in data science and machine learning, and the modeling efforts in remote sensing and air pollution (exposure and health effects)
  • Research Associate (Aug 2017-July 2014)
    Department of Preventive Medicine, University of Southern California, Los Angeles, CA
  • Associate Specialist (June 2013-June 2014)
    Program in Public Health, University of California, Irvine, CA

HONORS AND AWARDS 🏆🎖️

  1. 2010.6
    The paper about Bayesian risk modeling (Risk Analysis, 30(7), 1157-1175) selected for a media outreach campaign in 2010 by Society for Risk Analysis
  2. 2007.5
    Chinese Academy of Sciences KC Wong Work Incentive Fund
  3. 2004.3
    The Excellent Presidential Scholarship of Chinese Academy of Sciences, 2004

WORKSHOP AND PRESENTATION 🎤📅

  1. Biweekly workshop: “Air pollution and exposure modeling” (2015-present, University of Southern California, California, USA)
  2. Invited presentation: “GCN-assisted U-Net for segmentation of OCT images” (Bay area data science workshop, Mar. 27, 2021)
  3. Invited presentation: “Enhancing semantic segmentation with contextual information” (Bay area data science workshop, Dec. 07, 2019)

Publication top Notes:

Geocomplexity Statistical Indicator to Enhance Multiclass Semantic Segmentation of Remotely Sensed Data with Less Sampling Bias

Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation

Generating Fine-Scale Aerosol Data through Downscaling with an Artificial Neural Network Enhanced with Transfer Learning

Encoder–Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation

Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation

Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation

Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award

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Ms. Hind MEZIANE | Artificial Intelligence | Best Scholar Award 

Ms. Hind MEZIANE, ACSA Lab, Faculty of Sciences, University Mohammed First, Oujda, Morocco

Hind Meziane is a dedicated researcher and Ph.D. candidate in Computer Science at the ACSA Laboratory, Department of Mathematics, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco. Her academic journey began with a Baccalaureate in Science (Science Mathematics Option B) from Mehdi Ben Berka High School in Oujda in 2012. She then pursued higher education at Mohammed Premier University, obtaining a DEUG in Mathematics and Computer Science (2012-2014), a LICENSE in Mathematics and Computer Science (2014-2016), and a Specialized Master’s in Computer Engineering with Honors (2017-2019).

Professional Profile:

Summary of Suitability for Best Scholar Award

Hind Meziane is a highly accomplished researcher whose work primarily focuses on the security of Internet of Things (IoT) systems. She is currently pursuing a Ph.D. in Computer Science at Mohammed Premier University and has an impressive academic background, including a specialized master’s degree in Computer Engineering and a bachelor’s degree in Mathematics and Computer Science. Her research contributions are well-documented through various publications in reputable international journals and conference proceedings.

🎓 Education:

  • 2019-Present: Doctorate (PhD) in Computer Science at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2017-2019: Specialized Master in Computer Engineering, with Honors, at Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2014-2016: LICENSE in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2012-2014: DEUG in Mathematics and Computer Science from Mohammed Premier University, Faculty of Sciences, Oujda.
  • 2011-2012: Baccalaureate in Science, Mathematics Option B from Mehdi Ben Berka High School, Oujda.

Publication top Notes:

A survey on performance evaluation of artificial intelligence algorithms for improving IoT security systems

A Comparative Study for Modeling IoT Security Systems

Modeling IoT based Forest Fire Detection System with IoTsec

A Study of Modelling IoT Security Systems with Unified Modelling Language (UML)

Classifying security attacks in iot using ctm method

Internet of Things: Classification of attacks using CTM method