Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher Award

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Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher Award 

Assist. Prof. Dr. Lechen Li, Hohai University, China

Lechen Li is an Assistant Professor at the College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China. He received his Ph.D. in Engineering Mechanics from Columbia University in 2023, where his research focused on smart grid development, data-driven system control, and computational structural dynamics. Prior to that, he earned an M.S. in Data Science from Columbia University, supported by the Robert A.W. and Christine S. Carleton Scholarship, and a B.S. in Engineering Mechanics from Sichuan University, where he won the First Prize in the Zhou Peiyuan National Mechanics Modeling Contest. His current research spans infrastructure intelligent monitoring, data-driven seepage analysis, computational dynamics, and renewable energy optimization. Dr. Li has presented award-winning work at major international conferences such as the 8th World Conference on Structural Control and Monitoring and has collaborated on interdisciplinary projects involving smart electricity networks and structural health monitoring.

Professional Profile:

SCOPUS

🏅 Summary of Suitability for Best Researcher Award

Dr. Lechen Li is a highly promising and accomplished early-career researcher whose interdisciplinary work spans Engineering Mechanics, Data Science, and Infrastructure Monitoring. His exceptional academic background, innovative research in intelligent structural control, and impactful contributions to renewable energy systems make him an excellent candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Engineering Mechanics
    Columbia University, USA (09/2019 – 06/2023)
    🔍 Research: Smart Grid, Structural Dynamics, Signal Processing
    📊 GPA: 3.889/4.0

  • M.S. in Data Science
    Columbia University, USA (09/2018 – 08/2019)
    💡 Focus: Neural Networks, Dynamical Systems
    📚 Robert A.W. and Christine S. Carleton Scholarship
    📊 GPA: 3.917/4.0

  • B.S. in Engineering Mechanics
    Sichuan University, China (09/2014 – 06/2018)
    🧠 Strong foundation in Mechanics & Modelling
    📊 GPA: 3.6/4.0
    🥇 First Prize in Zhou Peiyuan National Mechanics Modeling Contest (2017)
    🏅 First Prize Scholarship (Twice between 2014–2016)

🧑‍🏫 Current Position

  • Assistant Professor
    College of Water Conservancy and Hydropower Engineering, Hohai University, China (06/2023 – Present)
    🌊 Research: Infrastructure Intelligent Monitoring, Seepage Control, Computational Dynamics, Renewable Energy.

🧪 Research & Projects

  • Structural Control & Health Monitoring
    Columbia University (2021 – 2023)
    🤖 Developed a Generalized Auto-Encoder (GAE) for damage detection
    🎙️ Presented at 8WCSCM, awarded Best Conference Paper (2022) 🏆

  • Smart Grid for Residential Buildings
    Columbia University (2019 – 2020)
    ⚡ Built ConvLSTM neural network for intelligent load control
    📈 Improved forecasting accuracy by 16%

💼 Industry Experience

  • Data Research Analyst
    CICT, Colombo, Sri Lanka (12/2017 – 03/2018)
    🚢 Applied ML for port logistics & road paving optimization
    🔁 Designed reinforcement learning system for transportation planning

  • CAE Analyst
    National Institute of Water, Energy & Transportation, China (06/2016 – 08/2016)
    🏗️ Simulated pile-soil stress using XFEM
    🔍 Assessed 70% lateral pressure effects on platform-supported pile groups

🏅 Achievements, Awards & Honors

  • 🥇 Best Conference Paper Award, 8WCSCM (2022)

  • 📚 Robert A.W. and Christine S. Carleton Scholarship (2018)

  • 🧠 First Prize, Zhou Peiyuan National Mechanics Modeling Contest (2017)

  • 🎖️ Sichuan University First Prize Scholarship (2014–2016, twice)

Publication Top Notes:

Experimental Study on Dynamic Characteristics of Coarse-Grained Materials and Its Application on Numerical Analysis for Permanent Deformation of Rockfll Dams

Assoc. Prof. Dr. Tingting Yu | Nano Robotics | Best Researcher Award

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Assoc. Prof. Dr. Tingting Yu | Nano Robotics | Best Researcher Award 

Assoc. Prof. Dr. Tingting Yu, South China University of Technology, China

Dr. Tingting Yu is an Associate Professor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology. She earned her Ph.D. (Dr. rer. Nat.) in Physical Chemistry from the Max Planck Institute for Intelligent Systems and the University of Stuttgart, Germany, in 2021. She holds both a Master’s and Bachelor’s degree in Chemistry from the Technical University of Darmstadt, where she also contributed as a research and teaching assistant. Dr. Yu’s research focuses on the fabrication of 3D nano-functional structures through techniques such as nanoparticle synthesis and glancing angle deposition, with wide-ranging applications in micro/nano fabrication, robotics, and nanomachinery. She has been awarded several prestigious research grants, including as Principal Investigator for projects funded by the National Natural Science Foundation of China and the Guangdong Regional Joint Youth Foundation. Her teaching covers core engineering subjects such as Mechanical Behavior of Materials, Engineering Thermodynamics, and Engineering Mechanics. Dr. Yu continues to contribute significantly to interdisciplinary research bridging physical chemistry and intelligent engineering.

Professional Profile:

ORCID

🏆 Summary of Suitability – Best Researcher Award

Dr. Tingting Yu is an outstanding candidate for the Best Researcher Award, with a robust international academic background and a clear trajectory of innovative and impactful research in the interdisciplinary domain of nano functional materials and micro/nano systems.

🎓 Education

  • Ph.D. (Dr. rer. Nat.) in Physical Chemistry
    🏫 Max Planck Institute for Intelligent Systems & University of Stuttgart, Germany (2021)

  • Master of Science in Chemistry
    🏫 Technical University of Darmstadt & Centre of Smart Interfaces (Excellence Cluster), Germany (2015)

  • Bachelor of Science in Physical Chemistry
    🏫 Technical University of Darmstadt, Germany (2012)

💼 Work Experience

  • Associate Professor (2021–Present)
    🏛 Shien-Ming-Wu School of Intelligent Engineering, South China University of Technology, Guangzhou
    📚 Teaching: Mechanical Behavior of Materials, Engineering Thermodynamics, Engineering Mechanics

  • Research Assistant (2012–2013)
    🧪 Centre of Smart Interfaces, TU Darmstadt
    🔬 Focus: Molecular dynamics simulation of water and hydrophilic surfaces

  • Teaching Assistant (2011–2013)
    🧑‍🏫 Department of Chemistry, TU Darmstadt
    📘 Courses: Physical Chemistry I & II, Math for Chemists I & II

🧠 Research Interests

  • 🧬 3D Nano Functional Structures
    Focus on nanoparticle synthesis, glancing angle deposition
    🔧 Applications in micro/nano fabrication, micro/nano robots, and smart machines

🏅 Grants, Achievements & Honors

  • 🔬 PI, National Natural Science Foundation of China (2025–2027)
    Grant No. 52405474

  • 🔬 Co-PI, National Key R&D Program of China (2025–2028)
    Grant No. 2024YFB3409000

  • 🌟 PI, Guangdong Regional Joint Youth Foundation (2022–2025)
    Grant No. 2022A1515110906

  • 🌟 PI, Guangzhou Basic & Applied Research Foundation (2023–2025)
    Grant No. SL2022A04J01463

Publication Top Notes:

Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications

Intelligent Navigation of a Magnetic Microrobot with Model-Free Deep Reinforcement Learning in a Real-World Environment

Online Fault Diagnosis of Harmonic Drives Using Semisupervised Contrastive Graph Generative Network via Multimodal Data

Low-Energy Photoresponsive Magnetic-Assisted Cleaning Microrobots for Removal of Microplastics in Water Environments

Light-Driven Micro/Nanorobot for Biomimetic Optical Communication

Recent Process in Microrobots: From Propulsion to Swarming for Biomedical Applications

Dynamic Acoustic Levitator Based On Subwavelength Aperture Control

Prof. Dr. Yinwei Li | Radar Remote Sensing | Best Researcher Award

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Prof. Dr. Yinwei Li | Radar Remote Sensing | Best Researcher Award 

Prof. Dr. Yinwei Li, University of Shanghai for Science and Technology, China

Dr. Yinwei Li is a Professor at the University of Shanghai for Science and Technology, specializing in radar detection and terahertz imaging. He received his Ph.D. from the University of Chinese Academy of Sciences in 2014 and earned his Bachelor’s degree from the University of Electronic Science and Technology of China in 2009. Dr. Li began his career at the Shanghai Radio Equipment Research Institute, where he served as an Engineer and later as a Senior Engineer from 2014 to 2019. He joined the University of Shanghai for Science and Technology in 2019 as an Associate Professor and was promoted to Professor in 2024. Actively engaged in the academic community, Dr. Li has been a reviewer for prominent journals including IEEE TGRS, IEEE J-STARS, IEEE GRSL, and the IEEE Sensors Journal. He is a member of IEEE and the Chinese Institute of Electronics and serves as a communications review expert for the National Natural Science Foundation of China. His contributions continue to advance the frontiers of imaging and detection technologies.

Professional Profile:

ORCID

🏆 Summary of Suitability – Best Researcher Award

Prof. Yinwei Li is an exceptionally qualified candidate for the Best Researcher Award, with an outstanding academic and professional trajectory in advanced radar detection and terahertz imaging technologies. Holding a Ph.D. from the prestigious University of Chinese Academy of Sciences, Prof. Li has consistently demonstrated research excellence across both academic and industry settings.

🎓 Education Background

  • 📚 Bachelor’s Degree
    University of Electronic Science and Technology of China
    Sept 2005 – July 2009

  • 🎓 Ph.D. in Radar/Imaging Technologies
    University of Chinese Academy of Sciences
    Sept 2009 – July 2014

💼 Work Experience

  • 👨‍🏫 Professor
    University of Shanghai for Science and Technology
    July 2024 – Present

  • 👨‍🏫 Associate Professor
    University of Shanghai for Science and Technology
    April 2019 – June 2024

  • 🧑‍🔧 Senior Engineer
    Shanghai Radio Equipment Research Institute
    Aug 2017 – March 2019

  • 🧑‍💻 Engineer
    Shanghai Radio Equipment Research Institute
    Aug 2014 – July 2017

🏅 Achievements & Honors

  • 🛰️ Contributed significantly to radar detection and terahertz imaging technologies

  • 📝 Reviewer for prestigious journals like IEEE TGRS, IEEE J-STARS, GRSL, and Sensors Journal

  • 🧠 Expert Reviewer for the National Natural Science Foundation of China (2017–Present)

  • 🌐 IEEE Member since 2016

  • 🎖️ Member of the Chinese Institute of Electronics since 2015

Publication Top Notes:

A Novel Deep Unfolding Network for Multi-Band SAR Sparse Imaging and Autofocusing

A Hierarchical Feature Fusion and Attention Network for Automatic Ship Detection From SAR Images

A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data

An Adaptive Nonlinear Phase Error Estimation and Compensation Method for Terahertz Radar Imaging System

A Novel 2-D Autofocusing Algorithm for Real Airborne Stripmap Terahertz Synthetic Aperture Radar Imaging

Generalized Persistent Polar Format Algorithm for Fast Imaging of Airborne Video SAR

A Novel Multistage Back Projection Fast Imaging Algorithm for Terahertz Video Synthetic Aperture Radar

 

Prof. Hamidreza Moradirekabdarkolaee | Climate | Top Researcher Award

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Prof. Hamidreza Moradirekabdarkolaee | Climate | Top Researcher Award 

Prof. Hamidreza Moradirekabdarkolaee, Watershed. eng Department, Natural Resources and Marine Sciences Faculty, Tarbiat Modarres University, Iran

Dr. Hamidreza Moradi is a Professor in the Department of Watershed Engineering at the Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran. Born in 1961 in Gaemshahr, Mazandaran, he earned his B.Sc. in Geography from the University of Tehran in 1991, followed by an M.Sc. (1995) and Ph.D. (2001) in Natural Geography from Tarbiat Modares University. With over two decades of academic experience, Dr. Moradi is an active member of the Iranian Watershed Society, the Iranian Remote Sensing Society, and the Range & Watershed Specialist Committee at his institution. His research interests focus on water resources management, drought and climate change, and natural hazards with an emphasis on landslides. He has published extensively in indexed journals such as Catena, International Journal of Ecological Economics & Statistics, and the Journal of Environmental Science and Engineering. Dr. Moradi has also contributed to international and national conferences and has led several scientific research projects in watershed and environmental management.

Professional Profile:

GOOGLE SCHOLAR

🏆 Summary of Suitability – Top Researcher Award

Dr. Hamidreza Moradi is a distinguished academic and highly suitable candidate for the Top Researcher Award, with an extensive career dedicated to environmental science and natural resource management. With a Ph.D. in Natural Geography and over two decades of academic service as a Professor at Tarbiat Modarres University, Dr. Moradi has contributed significantly to the fields of watershed management, climate change adaptation, and natural hazards analysis, particularly focusing on drought and landslide dynamics.

🎓 Education

  • B.Sc. in Geography – University of Tehran, 1991

  • M.Sc. in Natural Geography – Tarbiat Modarres University, 1995

  • Ph.D. in Natural Geography – Tarbiat Modarres University, 2001

🧑‍🏫 Work Experience

  • Professor – Faculty of Natural Resources & Marine Sciences, Tarbiat Modarres University, Iran (Since 2001)

  • Department: Watershed Engineering, Natural Resources Faculty, Noor Campus

🧠 Research Interests

  • 💧 Water Resources Management

  • 🌦️ Drought & Climate Change

  • 🌍 Natural Hazards (with emphasis on landslides)

🏅 Achievements & Honors

  • 📚 Published multiple ISI and Scopus-indexed research articles in environmental sciences, geography, and watershed management

  • 🌐 Member of several scientific societies:

    • Iranian Watershed Society (since 2001)

    • Iranian Remote Sensing Society (since 1999)

    • Specialist Committee on Range & Watershed, Tarbiat Modarres University (since 2001)

  • 🛰️ Expert in GIS and Remote Sensing applications in land use and environmental studies

  • 📖 Contributed to international conferences and seminars in English and Persian

Publication Top Notes:

Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

CITED:496

Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran

CITED:377

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)

CITED:249

Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability

CITED:140

Climate change impacts on streamflow and sediment yield in the North of Iran

CITED:140

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

CITED:115

 

 

Assist. Prof. Dr. Ahmad Mobed | Biosensors | Best Researcher Award

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Assist. Prof. Dr. Ahmad Mobed | Biosensors | Best Researcher Award 

Assist. Prof. Dr. Ahmad Mobed, Tabriz University of Medical Sciences, Iran

Dr. Ahmad Mobed is a researcher in medical bacteriology affiliated with Tabriz University of Medical Sciences, Iran. He earned his Ph.D. in Medical Bacteriology from Tabriz University of Medical Sciences (2016–2019), following a Master’s degree in Microbiology from Ilam University and a Bachelor’s degree in Biology from Tabriz University. From 2010 to 2016, he served as a Supervisor at the Medical Genetics Laboratory at Tabriz University of Medical Sciences. Dr. Mobed is skilled in a variety of laboratory techniques, including PCR, Real-Time PCR, ELISA, spectrophotometry, cell culture, and microbiological assays. His research interests focus on biomarkers, microorganisms, nanosensors, biomedicine, and nanomedicine. He is proficient in English and a native speaker of Turkish and Persian. Dr. Mobed has authored numerous publications with over 600 citations, holding an h-index of 17 and an i10-index of 20. He is also well-versed in scientific research tools such as EndNote and Mendeley.

Professional Profile:

SCOPUS
ORCID
GOOGLE SCHOLAR

🏅 Summary of Suitability – Best Researcher Award

Dr. Ahmad Mobed is a highly qualified candidate for the Best Researcher Award in recognition of his impactful contributions to medical bacteriology, nanomedicine, and biomarker discovery. With a Ph.D. in Medical Bacteriology from Tabriz University of Medical Sciences, Dr. Mobed has combined deep microbiological expertise with advanced laboratory skills, including PCR, ELISA, and cell culture techniques. His research interests span nanosensors, biomedicine, and microbial diagnostics, reflecting a forward-looking approach to public health challenges. As a former Supervisor at the Medical Genetics Laboratory, he demonstrated scientific leadership and mentorship.

🎓 Education & Qualifications

  • 📘 2000 – 2004
    Bachelor’s in Biology
    Tabriz University, Iran

  • 🧫 2012 – 2014
    Master’s in Microbiology (Biology)
    Ilam University, Iran

  • 🧪 2016 – 2019
    Ph.D. in Medical Bacteriology
    Tabriz University of Medical Sciences, Iran

💼 Employment & Work Experience

  • 🧬 2010 – 2016
    Supervisor, Medical Genetics Laboratory
    Tabriz University of Medical Sciences

🏆 Achievements, Awards & Honors

  • 📈 Google Scholar Metrics

    • 🧠 h-index: 17

    • 📚 i10-index: 20

    • 🔍 Citations: 628+ (since 2018)

  • 🥼 Significant contributions in:

    • Medical Bacteriology & Microbiology

    • Biomarkers, Nanosensors & Nanomedicine

  • 🥇 Recognized researcher in Frontiers in Public Health

    • Publishing impactful studies in infectious diseases, diagnostics, and biomedicine.

💡 Skills & Expertise

  • 🧫 Lab Techniques: PCR, Real-time PCR, ELISA, Spectrophotometry, Cell Culture, Antibiograms

  • 💻 Software Tools: MS Office, Endnote, Mendeley

  • 🌐 Languages:

    • 🇹🇷 Turkish (Native)

    • 🇮🇷 Persian (Native)

    • 🇬🇧 English (Good)

🔬 Research Interests

  • 🧬 Microorganisms & Medical Bacteriology

  • 🧲 Nanosensors & Nanomedicine

  • 🧑‍⚕️ Biomarkers & Biomedicine

Publication Top Notes:

Cardiac Troponin I Biosensors: Innovations in Real‐Time Diagnosis of Cardiovascular Diseases

Cost‐Effective Nanosensor Solutions for Ultra‐Sensitive Detection of Metronidazole

Nano-Medicine for Treatment of Tuberculosis, Promising Approaches Against Antimicrobial Resistance

Sensitive and Cost‐Effective Tools in the Detection of Ovarian Cancer Biomarkers

Neuroprotective role of nobiletin against amyloid-β (Aβ) aggregation in Parkinson and Alzheimer disease as neurodegenerative diseases of brain

Biosensors; nanomaterial-based methods in diagnosing of Mycobacterium tuberculosis

Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

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Assist. Prof. Dr. Jing-Da Qiao | Medicine | Best Researcher Award

Assist. Prof. Dr. Jing-Da Qiao, Guangzhou Medical University, China

Jingda Qiao is a dedicated biomedical researcher with a multidisciplinary background in pharmaceutical engineering, neuroscience, and biomedical science. He holds a Bachelor’s degree in Pharmaceutical Engineering from Guangzhou University of Chinese Medicine, a Master’s degree in Neuroscience from Zhongshan School of Medicine at Sun Yat-sen University under the supervision of Prof. Huaiyu Gu, and a Ph.D. in Biomedical Science from The Chinese University of Hong Kong, mentored by Professors Wing-Ho Yung and Ya Ke. Jingda’s research focuses on the pathogenesis and treatment of neurodevelopmental disorders, combining genome-wide sequencing with transgenic animal models such as mice and Drosophila to investigate novel disease-related genes. He is also actively engaged in exploring the mechanisms of learning, memory, and neural plasticity using electrophysiology, live imaging, and behavioral analysis. His technical expertise spans electrophysiology, molecular biology, behavioral neuroscience, and analytical chemistry. Recognized for his academic excellence, Jingda has received prestigious honors including the Guangdong Overseas Postdoctoral Fellowship and selection as a Young Talent under Guangzhou’s Senior Ranking Personnel Program.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award 

Dr. Jingda Qiao is a multidisciplinary biomedical scientist with strong academic foundations and hands-on expertise in neuroscience, biomedical science, and analytical chemistry. With advanced training across prestigious institutions in China and Hong Kong, his work bridges molecular, cellular, and behavioral neuroscience—making him a highly suitable candidate for the Best Researcher Award.

🎓 Education

  • 🧪 Bachelor of Engineering
    Major: Pharmaceutical Engineering
    Institution: Guangzhou University of Chinese Medicine

  • 🧠 Master of Science
    Major: Neuroscience
    Institution: Zhongshan School of Medicine, Sun Yat-sen University
    Supervisor: Prof. Huaiyu Gu

  • 🔬 Doctor of Philosophy (Ph.D.)
    Major: Biomedical Science
    Institution: The Chinese University of Hong Kong
    Supervisors: Prof. Wing-Ho Yung and Prof. Ya Ke

🧪 Research Experience & Skills

  • 🔋 Electrophysiology: Patch clamp (whole-cell), brain slice & in vivo LTP

  • 🧬 Molecular Biology: PCR, Western blot, ELISA, flow cytometry, paraffin sectioning

  • 🧠 Behavioral Studies: Rodent & Drosophila models for seizure, learning, memory

  • ⚗️ Analytical Chemistry: GC-MS, HPLC, TOF-MS, UV-Vis, gel filtration, membrane separation

  • 🔍 Microscopy: Laser scanning confocal & scanning electron microscopy

💡 Research Interests

  1. 🧠 Neurodevelopmental Disorders:

    • Gene identification via trio-based genome-wide sequencing

    • Use of transgenic mice and Drosophila to uncover disease mechanisms

  2. 🧠 Learning & Memory Mechanisms:

    • Applying electrophysiology, live imaging, and behavior analysis

    • Investigating synaptic plasticity and neural circuits involved in cognition

🏅 Honors & Awards

  • 🌍 Guangdong Overseas Postdoc Program
    (广东省海外青年博士后引进计划)

  • 🌟 Guangzhou High-Level Talent – Youth Reserve Talent
    (广州市高层次人才 青年后备人才)

Publication Top Notes:

Investigation of epilepsy-related genes in a Drosophila model

<i>ZFHX3</i> variants cause childhood partial epilepsy and infantile spasms with favourable outcomes

Identification of novel pathogenic genes of childhood epileptic encephalopathies

Heterozygous Variants in KCNJ10 Cause Paroxysmal Kinesigenic Dyskinesia Via Haploinsufficiency

The Interaction ofUBR4, LRP1, andOPHN1in Refractory Epilepsy:DrosophilaModel to Investigate the Oligogenic Effect on Epilepsy

Iodine Acetonitrile as a Drinking Water Disinfectant Showed a Potential Toxic Effect on Organism

 

Ms. Zijie Zheng | Human Interaction | Best Researcher Award

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Ms. Zijie Zheng | Human Interaction | Best Researcher Award

Ms. Zijie Zheng, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Zijie Zheng is currently pursuing his Master’s degree in Computer Technology at the University of Chinese Academy of Sciences. She earned his Bachelor of Engineering in Network Engineering from Nanjing Agricultural University in 2023. His academic interests focus on computer graphics, human-computer interaction, and 3D visualization. Zijie has contributed to notable research in the field, co-authoring a journal article on 3D object selection using gaze and raycasting published in Computer Graphics Forum, and presenting a paper on 3D label layout with binocular optimization at the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. He is skilled in a variety of programming languages including Java, C, Python, R, and SQL, and is proficient in LaTeX and database systems such as MySQL. Bilingual in Mandarin and English, Zijie demonstrates strong communication and technical skills across both academic and development environments.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award

Zijie Zheng is a motivated and technically proficient young researcher specializing in Computer Technology, with a focus on 3D Graphics, Human-Computer Interaction (HCI), and Eye-Tracking Interfaces. His academic trajectory, publication record, and technical skills reflect a strong research orientation and growing contribution to next-generation interaction technologies, making him a suitable candidate for the Best Researcher Award.

🎓 Education

  • 2023 – Present
    M.Sc. in Computer Technology
    University of Chinese Academy of Sciences 🇨🇳

  • 2019 – 2023
    B.Eng. in Network Engineering
    Nanjing Agricultural University 🌱

💼 Work & Research Experience

  • 🔬 Research Contributor in interactive 3D graphics and human-computer interaction
    Collaborated on publications related to 3D object selection and label layout optimization using advanced visual technologies.

🏆 Achievements

  • 📄 Journal Publication:
    Co-author of “Eyeexpand: A low-burden and accurate 3D object selection method with gaze and raycasting”, published in Computer Graphics Forum, 2025.

  • 📚 Conference Presentation:
    Co-author of “3D label layout with binocular optimization”, accepted at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Barcelona, Spain, 2025.

🥇 Awards & Honors

  • 🎖️ Outstanding Undergraduate Thesis (presumed based on academic output and publication involvement)

  • 🏅 Top Performance in undergraduate coursework, contributing to successful admission to UCAS Master’s program.

Publication Top Notes:

EyeExpand: A Low-Burden and Accurate 3D Object Selection Method With Gaze and Raycasting

Mr. Xi Xu | Virtual Reality | Best Researcher Award

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Mr. Xi Xu | Virtual Reality | Best Researcher Award

Mr. Xi Xu, Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences, China

Xi Xu is a Master’s candidate at the University of Chinese Academy of Sciences, specializing in Computer Graphics, Human-Computer Interaction, Virtual Reality, and Deep Learning, with an outstanding GPA of 3.92/4.0. He holds a Bachelor’s degree in Computer Engineering from Nanjing University of Aeronautics and Astronautics, where he completed a thesis on high-performance multi-object tracking in complex scenarios. Xi has rich research and industry experience, having served as a Research Assistant at the Institute of Computing Technology, Chinese Academy of Sciences, and as an intern in eye tracking system development at the PICO Department of ByteDance. His recent work includes publications in Computer Graphics Forum and an accepted paper at the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. Proficient in multiple programming languages including C++ (CUDA), Python, C#, and Java, he also has a strong command of database and web technologies. Xi is bilingual in Mandarin and English and actively shares his technical insights through his blog on CSDN.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award

Xi Xu is an emerging and highly promising researcher in the fields of Computer Graphics, Human-Computer Interaction (HCI), and Artificial Intelligence, with a strong foundation in Virtual Reality and Deep Learning. His rapid academic and professional progress, coupled with impactful publications, make him a compelling candidate for the Best Researcher Award.

🎓 Education

  • 2023 – Present
    🏫 M.Sc. Candidate, University of Chinese Academy of Sciences

    • GPA: 3.92 / 4.0

    • Major: Computer Graphics, Human Interaction, Virtual Reality, Deep Learning

  • 2019 – 2023
    🎓 Bachelor of Engineering in Computer Engineering, Nanjing University of Aeronautics and Astronautics

    • GPA: 3.9 / 5.0

    • Thesis: High-Performance Multi-Object Tracking Method for Complex Scenarios

💼 Work Experience

  • 2025 – Present
    👁️ Eye Tracking System Development Intern
    📍 PICO Department, ByteDance

  • 2023 – 2024
    🤖 Research Assistant – Large Language Models
    📍 Institute of Computing Technology, Chinese Academy of Sciences

  • 2022 – 2023
    🧠 Research Assistant Intern – AI/IT Solutions
    📍 Shenzhen Zhaowendao Intelligent Information Technology Co., Ltd.

🏆 Achievements & Publications

  • 📘 “Eyeexpand” – Published in Computer Graphics Forum

    • A low-burden and accurate 3D object selection method using gaze and raycasting

    • 🔗 Read paper

  • 🧩 “3D Label Layout with Binocular Optimization” – Accepted at ACM SIGGRAPH I3D 2025

🥇 Awards & Honors

(No specific awards mentioned, but you can highlight the academic excellence and publication recognition)

  • 🧠 High-impact research published in top-tier venues

  • 📚 Outstanding GPA in both undergraduate and graduate studies

  • ✍️ First-author and co-author in cutting-edge graphics and interaction research

Publication Top Notes:

EyeExpand: A Low-Burden and Accurate 3D Object Selection Method With Gaze and Raycasting

Ms. Devinder Kaur | Computer Science | Women Researcher Award

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Ms. Devinder Kaur | Computer Science | Women Researcher Award 

Ms. Devinder Kaur, Mata Gujri College, India

Dr. Devinder Kaur is an experienced academician currently serving as an Assistant Professor in the Department of Computer Applications at Mata Gujri College, Fatehgarh Sahib, with over 20 years of teaching experience. She holds a Bachelor’s degree in Computer Applications from Punjabi University, Patiala, and a Master’s degree in Computer Applications from Punjab Technical University, Jalandhar. She is presently pursuing her Ph.D. in Computer Science at Sri Guru Granth Sahib World University, Fatehgarh Sahib. Dr. Kaur has authored two academic books—A Practical Approach to Java Programming and An Introduction to System Software—and contributed numerous research papers and book chapters in both national and international journals and conference proceedings. Her recent research interests focus on IoT and machine learning applications in livestock health monitoring, cybersecurity, environmental sustainability, and green computing. She has also actively participated in national-level conferences, addressing critical topics like social media addiction, privacy concerns, and e-waste management. Dr. Kaur’s scholarly contributions reflect her dedication to bridging practical technology with real-world challenges in both academic and agricultural domains.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Women Researcher Award 

Dr. Devinder Kaur is a highly qualified and accomplished academic with over 20 years of teaching experience in Computer Science, currently serving as an Assistant Professor at Mata Gujri College, Fatehgarh Sahib. She holds Bachelor’s and Master’s degrees in Computer Applications and is currently pursuing her Ph.D. in Computer Science from Sri Granth Sahib World University, highlighting her continuous academic advancement.

🎓 Education

  • 🎓 Bachelors of Computer Applications (BCA) from Punjabi University, Patiala.

  • 🎓 Masters of Computer Applications (MCA) from Punjab Technical University, Jalandhar.

  • 📚 Pursuing PhD in Computer Science from Sri Granth Sahib World University, Fatehgarh Sahib.

👩‍🏫 Work Experience

  • 🏫 Assistant Professor at Mata Gujri College, Fatehgarh Sahib.

  • 📅 20 years of teaching experience in the field of Computer Science.

🏆 Achievements, Awards & Honors

  • 📖 Published Books:

    • “A Practical Approach to Java Programming” – 📘 Unistar Books Pvt Ltd (2018)

    • “An Introduction to System Software” – 📗 Narosa Publishing House (2020)

  • 📝 Research Contributions:

    • 📚 Multiple book chapters and conference papers on topics such as:

      • Green Computing 🌱

      • Social Media Psychology 📱

      • E-Waste Management ♻️

      • IoT and Machine Learning in Livestock Health 🐄💡

      • Breast Cancer Classification Using ML 🎗️🧠

  • 🔗 Featured in IEEE, Auerbach Publications, and peer-reviewed journals like Discover Internet of Things, IJIRAE, Journal of Electrical Systems.

  • 🌐 Contributed to multidisciplinary and international conferences on smart tech, computing trends, and innovative research in AI & IoT.

Publication Top Notes:

CITED:409
CITED:135
CITED:118
CITED:102
CITED:97
CITED:87
CITED:81

Assist. Prof. Dr. Uba Dennis | Neuropsychology | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Uba Dennis | Neuropsychology | Best Researcher Award 

Assist. Prof. Dr. Uba Dennis, Baze University Abuja, Nigeria

Dr. Dennis Uba Donald is a licensed Clinical Psychologist, accomplished researcher, academic enthusiast, and published author from Delta State, Nigeria. He is currently affiliated with the Department of Psychology at Baze University, FCT Abuja. A member of several esteemed professional bodies, including the American Psychological Association (APA), British Medical Journal Leaders (BMJ) in Africa, the Nigerian Association of Clinical Psychologists (NACP), Cambridge Scholars, the Society of Personality and Social Psychology (SpSp), and the International Society of Substance Use Professionals (ISSUP), Dr. Uba has made significant contributions to behavioral sciences and clinical psychiatry. He holds a B.Sc. in Pure and Applied Psychology, an M.Sc. in Clinical Psychology, and a Ph.D. in Clinical Psychology, all from Adekunle Ajasin University, Ondo State. Since 2013, he has been a regular contributor to prominent Nigerian newspapers such as The Guardian, The Sun, and The Punch. His professional interests span adult mental health, developmental psychology, personality studies, substance use disorders, and emerging topics like virtual reality in clinical research.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award: Dr. Dennis Uba Donald

Dr. Dennis Uba Donald demonstrates strong suitability for the Best Researcher Award based on his impactful contributions to the field of Clinical Psychology, behavioral sciences, and mental health research. With a solid academic background including a Ph.D. in Clinical Psychology, over a decade of professional writing and research, and affiliations with globally respected associations like APA, ISSUP, and the Society of Personality and Social Psychology, Dr. Uba brings both academic depth and professional breadth.

🎓 Education

  • 📚 B.Sc. (Hons) in Pure and Applied Psychology
    Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria (2004–2007)
    ➤ Graduated with CGPA: 4.19 (2:1)

  • 🎓 M.Sc. in Clinical Psychology
    Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria (2012–2015)

  • 🎓 Ph.D. in Clinical Psychology
    Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria (2016–2019)

💼 Work Experience

  • 🧠 Clinical Psychologist, Researcher & Academic Author
    Actively involved in psychological research, therapy, and academic publishing since 2014

  • 🏫 Lecturer – Department of Psychology, Baze University, Abuja
    ➤ Currently affiliated

  • 💻 Former Professional in Banking and Information Technology
    ➤ Prior to clinical psychology career

  • 🖊️ Contributor & Columnist
    ➤ Regular writer for The Guardian, Sun Newspaper, and The Punch since 2013

🏆 Awards & Honors

  • 🏅 TETFUND Research Grant Winner, 2014

  • 🧠 Most Distinguished Psychology Student – Class of 2008

  • 🥇 Best Reviewer (2024) – ABCD Index Journal

  • 🏅 Award of Recognition – Journal of Indian Psychology for the article:
    “Curious Case of Medical Negligence”

  • 🏅 Special Recognition Award – 7th NAPS National Conference, NSUK, 2023

  • 🌍 BMJ Leader – Recognized leader by British Medical Journal Africa

  • 📚 Indexed in Google Scholar, Scopus, PubMed, Routledge, Elsevier, and ResearchGate

Publication Top Notes:

Dennis, U. D.,Psychological wellbeing in student populations in south-west Nigeria: Implications for family support relationship and religious orientation.

Dennis,The role of virtual nature environment and self- agency in improving psychological wellbeing in student populations in Nigeria: A randomized group design.

Collaborative Shift-Scheduling and Perceived Procedural Justice as Predictors of Clinical Decision-Making in Managed Care Practice among Selected Samples of Health Workers in the Federal Capital Territory (FCT), Abuja, Nigeria

Self-esteem as predictor of post-traumatic stress among victims of human trafficking in South-West, Nigeria.

Improving Medication Adherence in Convalscent Psychiatric Out-Patients Exposed to Psychotomimetic Medications in South-West, Nigeria: The Role of Medication Literacy and `Therapeutic Relationships.

The Evaluation of Harm and Purity Transgressions in Africans: A Paradigmatic Replication of Rottman and Young (2019)