Dr. Enliang Wang | Information Security | Best Researcher Award

Posted on by ScienceFather

Dr. Enliang Wang | Information Security | Best Researcher Award

Dr. Enliang Wang, Nanjing University of Posts and Telecommunications, China

Enliang Wang is a Chinese researcher currently pursuing a Ph.D. in Information and Communication Engineering at the School of Internet of Things, Nanjing University of Posts and Telecommunications (NUPT), under the supervision of Prof. Sun Zhixin. He is affiliated with the Engineering Research Center of Broadband Wireless Communication Technology (Ministry of Education), a national key laboratory, where he has been actively involved since 2022. Enliang ranks within the top 10% of his academic cohort and has developed strong expertise in sensing technology, AI algorithm optimization, and network security. He has authored 11 high-quality research papers, including CCF-B category and SCI-indexed publications, and holds a national invention patent. His research contributions include cutting-edge audio and image forgery detection algorithms, anomaly detection frameworks for network traffic, and intelligent solutions for logistics and medical applications. Enliang has participated in multiple national and provincial R&D projects, taking lead roles in technical development and implementation. He is also the recipient of prestigious honors such as the National Scholarship, multiple academic excellence awards, and top prizes in national mathematical modeling competitions. His interdisciplinary research innovations have demonstrated significant real-world impact, and his future work is focused on trustworthy multimodal sensing, lightweight edge intelligence, and privacy-preserving data analysis.

Professional Profile:

ORCID

🔬 Summary of Suitability for Best Researcher Award

Dr. Enliang Wang is a promising young researcher in the field of Information and Communication Engineering, currently completing his Ph.D. at Nanjing University of Posts and Telecommunications. His strong academic record (GPA 4.1/5.0, top 10%) and affiliation with a national key laboratory provide a solid foundation for high-impact research.

🎓 Education Background

  • 🧠 Ph.D. in Information and Communication Engineering (2022–2025, ongoing)
    📍 School of Internet of Things, Nanjing University of Posts and Telecommunications (NUPT)

    • GPA: 4.1/5.0 (Top 10% of cohort)

    • 🧑‍🏫 Supervised by Prof. Sun Zhixin

    • 🎯 Research Center: Engineering Research Center of Broadband Wireless Communication Technology, Ministry of Education

  • 📘 Master’s Degree (2020–2022)

    • Fields: Artificial Intelligence, Network Security, Data Science

  • 📗 Bachelor’s Degree (2016–2020)

    • Solid foundation in theoretical and practical aspects of communication and computing

🧪 Research & Work Experience

  • 🔬 Engineering Research Center of Broadband Wireless Communication Technology, NUPT (Since Sept 2022)

    • Research on AI algorithm optimization, deep learning in sensing, and network security

  • ⚙️ Key National and Provincial Research Projects

    • National Key R&D Program (2022–2024): Led development of audio and image sensing authenticity verification systems

    • NSFC Project (2020–2022): Focused on blockchain-based data sharing in SDN

    • Smart Grape Industry Project (2023–2025): PI of a digital platform integrating blockchain, 5G, and VR for supply chain management

🏆 Major Achievements

  • 📄 11+ Research Publications

    • 2 in CCF-B conferences, 8 in SCI Q2/Q3 & EI journals

    • Topics include sensing, deep learning, network security

  • 📌 Notable Research Projects

    • 🔍 Audio Forgery Detection: 99.98% accuracy (ASVspoof dataset)

    • 🖼️ Image Tampering Detection: 90%+ accuracy (CasiaV1.0/2.0)

    • 🚛 CVRP Optimization using Memory Pointer Network (2025)

    • 🧠 Hematoma Expansion Prediction using Dual-Branch Probabilistic Network (2025)

    • 🔐 Traffic Matrix Prediction in SDN (CCF-B)

    • 📊 Blockchain-based node anomaly detection & reputation scoring

  • 📜 Granted Patent

    • 🧭 “Vehicle-Cargo Matching Method Based on Dual Pointer Network”
      (ZL202111170383.3, July 2024)

🏅 Awards & Honors

  • 🇨🇳 National Scholarship (2021)
    🎖️ Highest academic honor for graduate students in China

  • 🧑‍🎓 Outstanding Graduate Student & First-Class Scholarship (2021)

  • 📐 Mathematical Modeling Competitions

    • 🥈 Second Prize, Jiangsu Graduate MCM Innovation Competition (2021)

    • 🥈 Second Prize, 18th China Graduate MCM (Huawei Cup, 2021)

    • 🥉 Third Prize, Jiangsu Graduate MCM (2022)

    • 🥈 Second Prize, 21st China Graduate MCM (Huawei Cup, 2024)

  • 🎓 Academic Scholarships

    • 🥉 Third-Class Doctoral Scholarship (3 consecutive years: 2022–2024)

    • 🥉 Third-Class Master’s Scholarship (2020)

  • 📕 Outstanding Undergraduate Thesis (2020)

Publication Top Notes:

Flexible Capacitated Vehicle Routing Problem Solution Method Based on Memory Pointer Network

Research on Personalized Course Resource Recommendation Method Based on GEMRec

Spatial-temporal knowledge distillation for lightweight network traffic anomaly detection

Research on fire rescue path optimization of unmanned equipment based on improved Slime mould Algorithm

Research on Extended CVRP Problem Based on Memory Pointer Network

Prof. Dr. Alexandros Kaloxylos | Communication | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Alexandros Kaloxylos | Communication | Best Researcher Award 

Prof. Dr. Alexandros Kaloxylos , University of Peloponnese, Greece

Dr. Alexandros Kaloxylos is a Professor in the Department of Telecommunications Science and Technology at the University of Peloponnese. He holds a Ph.D. in Informatics and Telecommunications from the University of Athens, an M.Phil. in Electrical and Computer Engineering from Heriot-Watt University in Scotland, and a B.Sc. in Computer Science from the University of Crete. With a rich academic and professional background, Dr. Kaloxylos has been actively involved in teaching at both undergraduate and postgraduate levels, covering topics such as wireless networks, telecommunications, protocol verification, and broadband network techno-economics. His research spans mobile and wireless networks, 5G/6G cellular systems, V2X communications, and cloud-based Internet services. Over the years, he has contributed to more than 30 European and national research projects and has supervised numerous Ph.D., Master’s, and undergraduate theses. Dr. Kaloxylos has also held key roles in industry, including serving as Principal Researcher and Head of the Radio Access Network Department at Huawei’s German Research Center. His work has led to over 150 international publications, more than 4000 citations, and the granting of 8 patents in 5G technologies.

Professional Profile:

GOOGLE SCHOLAR

🏆 Summary of Suitability for Best Researcher Award

Dr. Alexandros Kaloxylos is a globally recognized researcher with a distinguished career spanning over two decades in wireless and mobile communication systems. His academic journey from the University of Crete to a Ph.D. in Wireless ATM Networks at the University of Athens, combined with international experience and research excellence, makes him a standout candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Informatics & Telecommunications
    University of Athens, Greece
    📜 Thesis: “Location Management in Wireless ATM Networks”
    🗓 Duration: Nov 1995 – May 1999
    💰 Scholarship: Co-funded by General Secretary of Research and Technology (Greece) & INTRAKOM S.A.

  • M.Phil. in Electrical and Computer Engineering
    Heriot-Watt University, Edinburgh, Scotland
    📜 Thesis: “ESTOPRO – An Estelle to PROMELA Compiler”
    🗓 Duration: Sep 1993 – Aug 1994

  • B.Sc. in Computer Science
    University of Crete, Heraklion
    🗓 Duration: Sep 1989 – Jun 1993

💼 Work Experience

  • Professor, Dept. of Telecommunications Science & Technology
    University of Peloponnese
    📍 Greece | 🗓 2002 – Present
    👨‍🏫 Teaching a wide range of undergraduate and postgraduate subjects
    🎓 Supervised multiple Ph.D., MSc, and undergraduate students

  • Principal Researcher, Head of Radio Access Network Dept.
    Huawei Technologies, German Research Center
    🗓 2014 – 2016

  • Network Operations Lead
    University of Peloponnese
    🗓 2002 – 2004
    🌐 Designed and operated the university’s network across 5 cities

  • Core Team Member, GUnet – Greek Universities Networks
    🗓 2001 – 2003
    🔧 Helped upgrade Greek university networks and design e-services

  • Coordinator, Network Operations Center
    University of Crete
    🗓 1990 – 1993
    🧑‍💻 Led a group of undergrads in IT operations

🏆 Achievements

  • 📚 Over 150 publications in international journals and conferences

  • 🔍 4000+ citations (Google Scholar)

  • 🌐 Participated in 30+ European and national research projects

  • 👨‍🔬 Research Interests:

    • Mobile & Wireless Networks

    • 5G/6G Cellular Systems

    • V2X Communications

    • Network Management

    • Cloud Applications for Future Internet Services

🥇 Awards & Honors

  • 🧠 8 awarded patents in 5G technologies

  • 🥇 Huawei GRC Collective First Prize
    🛻 Contribution to 5GAA & 5G vehicular network ecosystem

  • 🏅 Huawei GRC Award for excellence in the METIS Project

Publication Top Notes:

CITED:376
CITED:238
CITED:229
CITED:214
CITED:154
CITED:133

Assist. Prof. Dr. Davood Akbari | Evaluation | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Davood Akbari | Evaluation | Best Researcher Award 

Assist. Prof. Dr. Davood Akbari, Tarbiat Modares University, Iran

Dr. Davood Akbari is an Assistant Professor at Tarbiat Modares University in Tehran, Iran, specializing in Mechanical Engineering with a focus on Manufacturing and Production. He holds a Ph.D. in Mechanical Engineering from the University of Tehran, an M.Sc. from Amirkabir University of Technology (Tehran Polytechnic), and a B.Sc. from the Industrial University of Science and Technology. With academic and professional experience spanning more than a decade, Dr. Akbari has served as a faculty member at both Tarbiat Modares University and Azad University, and has led research activities at the Experimental Mechanics Center at Tehran University. His research interests include traditional and advanced non-destructive testing methods such as thermography and digital image correlation, welding technology and fusion welding simulation, solid mechanics simulations, residual stress measurement techniques, and experimental stress analysis. In addition to his academic contributions, he has provided consulting services in process design for industrial companies and has been active in undergraduate teaching in the field of mechanical engineering.

Professional Profile:

SCOPUS

🏆 Summary of Suitability for Best Researcher Award

Dr. Davood Akbari is an accomplished academic and researcher with over 20 years of experience in mechanical engineering, specializing in non-destructive testing (NDT), fusion welding simulation, solid mechanics, and residual stress analysis. He holds a Ph.D. from Tehran University, with a distinguished academic and research career across Iran’s top institutions.

🎓 Education Background

  1. Ph.D. in Mechanical Engineering (Manufacturing & Production)
    🏫 Tehran University
    📅 2008 – 2013

  2. M.Sc. in Mechanical Engineering (Manufacturing & Production)
    🏫 Amirkabir University of Technology (Tehran Polytechnic)
    📅 2003 – 2006

  3. B.Sc. in Mechanical Engineering (Manufacturing & Production)
    🏫 Industrial University of Science and Technology
    📅 1999 – 2003

🧑‍💼 Work Experience

  1. Assistant Professor
    🏛️ Tarbiat Modares University
    📅 2014 – Present

  2. Assistant Professor
    🏛️ Azad University, Tehran Central Branch
    📅 2010 – 2014

  3. Research Head – Experimental Mechanics Center
    🏛️ Tehran University
    📅 2008 – 2014

  4. Process Design Consultant
    🏢 Azarab Company, Tehran
    📅 2008 – 2010

  5. Lecturer (B.Sc. Level)
    🏫 Industrial University of Science and Technology, Arak
    📅 2008 – 2010

🔬 Research Interests

  • 📸 Traditional & Advanced Non-Destructive Testing (Thermography, Shearography, DIC)

  • 🔧 Welding Technology & Simulation

  • 🧱 Solid Mechanics Simulation

  • 📏 Residual Stress Measurement

  • 🧪 Experimental Stress Analysis

  • ⚙️ Isolation Analysis & Optimization

🏆 Achievements, Awards & Honors

  • 🎓 Earned Ph.D. from one of Iran’s top universities – Tehran University

  • 🧠 Appointed as Research Head at Tehran University’s Experimental Mechanics Center

  • 👨‍🏫 Faculty position at prestigious Tarbiat Modares University

  • 💼 Long-standing contributions to mechanical engineering education and research in Iran

  • 🛠️ Consultant for major Iranian industry (Azarab Company) in process design

Publication Top Notes:

Nondestructive examination of internal defects in cylindrical glass fiber reinforced plastics using dynamic active microwave thermography

The Nondestructive Inspection of Agglomeration in Nanocomposite Parts Using Shearography and Improving the Results with Design of Experiment

Dr. Fei Dong | Flower Breeding | Best Researcher Award

Posted on by ScienceFather

Dr. Fei Dong | Flower Breeding | Best Researcher Award 

Dr. Fei Dong, Shandong Academy of Agricultural Sciences, China

Dong Fei is an assistant researcher with a doctoral degree, specializing in the quality improvement and development of ornamental plants. She has led multiple research initiatives, including a Shandong–Chongqing cooperation project and an innovation project under the Shandong Academy of Agricultural Sciences. In addition to her leadership roles, she has contributed to seven major projects, such as the Shandong Provincial superior varieties initiative and other provincial-level general research efforts. Dong Fei has authored more than 10 academic publications, including three articles in SCI-indexed journals. Her work has also led to the acquisition of two patents and three plant variety rights, demonstrating her significant contributions to the field of agricultural science and plant innovation.

Professional Profile:

SCOPUS

🏅 Summary of Suitability for Best Researcher Award

Dong Fei is a dedicated and accomplished researcher in the field of ornamental plant science, with a clear focus on plant quality improvement and variety development. Her strong research portfolio, leadership in multiple projects, and contributions to agricultural innovation make her a suitable and competitive candidate for the Best Researcher Award, particularly within the fields of plant biotechnology and agricultural sciences.

🎓 Education & Work Experience

  • Holds a Doctoral degree (Ph.D.)

  • Currently serves as an Assistant Researcher

  • Leading figure in ornamental plant quality and development

  • Has led 3 major research projects, including:

    • 🤝 A cooperation project between Shandong and Chongqing

    • 💡 An innovation project from the Shandong Academy of Agricultural Sciences

  • Participated in 7 additional projects, such as:

    • 🌱 The superior plant varieties project in Shandong Province

    • 📋 A general research project funded by Shandong Province

🏆 Achievements

  • 📚 Published over 10 scientific articles, including:

    • 🧪 3 SCI-indexed publications

  • 🛠️ Secured 2 patents

  • 🌺 Granted 3 plant variety rights

  • Recognized for impactful contributions in ornamental plant development and research

🎖️ Awards & Honors

  • 🌟 Successfully led and contributed to multiple provincial-level research projects

  • 🧬 Acknowledged in the field for innovations that enhance the quality of ornamental plant species

Publication Top Notes:

Cloning and expression analysis of RhHsf24 gene in Rose (Rosa hybrida)

Mr. Ade Ajasa | Virtualisation | Best Researcher Award

Posted on by ScienceFather

Mr. Ade Ajasa | Virtualisation | Best Researcher Award 

Mr. Ade Ajasa, University of Gloucestershire, The Park, Cheltenham GL50 2RH, United Kingdom

Ade Ajasa is a highly experienced IT engineer based in London, England, with a strong background in computer networks, cybersecurity, and digital forensics. He is currently pursuing a Ph.D. in Cyber and Technical Computing and holds an MSc in Information Security and Digital Forensics, as well as a BSc (Hons) in Computer Networks. With over two decades of hands-on experience, Ade has worked on a range of IT projects including server and network troubleshooting, secure data migration, virtual environments, and digital forensics investigations. He has held roles at organizations such as Computer Aid International, Synergize Consulting, and several freelance contracts, where he has provided expert services in system installation, malware removal, imaging, and secure data erasure. Ade has a solid foundation in both Windows and Linux environments and is certified in CompTIA A+, Network+, Linux+, Server+, as well as Cisco’s CCNA and Microsoft’s MCP/MCSA. His technical expertise is complemented by excellent communication skills and a passion for problem-solving.

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award

Ade Ajasa is a highly experienced IT engineer and cybersecurity specialist whose broad-ranging technical skills, hands-on expertise in digital forensics, and current academic pursuit of a Ph.D. in Cyber and Technical Computing position him as a notable candidate for the Best Researcher Award, especially in applied computing and cybersecurity fields.

🎓 Education

  • 📚 Currently Pursuing: PhD in Cyber and Technical Computing

  • 📖 PGCE – Postgraduate Certificate Mainly by Research (Research Methods)

  • 🔐 MSc in Information Security and Digital Forensics

  • 🌐 BSc (Hons) in Computer Networks

  • 🧰 HND in Building Services Engineering (Refrigeration)

  • 💻 HNC in Software Engineering

  • ⚙️ NC in Engineering

  • 🧑‍💻 City & Guilds in Information Technology

💼 Work Experience

🧑‍🔧 IT Engineer (Contractor) – Self-Employed

📍 London, England | 🗓️ Mar 2012 – Present
🔹 Installation, configuration & repairs of small networks (SOHO)

🛠️ Computer Repairs Engineer – Computer Call-out Services

📍 London, England | 🗓️ Mar 2010 – Dec 2011
🔹 PC repairs, virus removal, SOHO network setup

💾 Computer Repairs Engineer – Synergize Consulting Limited

📍 London, England | 🗓️ Apr 2009 – Jan 2010
🔹 Data migration (for DWP), desktop/laptop setup, Symantec Ghost imaging

🖥️ Computer Repairs Engineer – Valley Computers Limited

📍 London, England | 🗓️ Jan 2007 – Jan 2009
🔹 Microsoft updates, malware removal, onsite troubleshooting

🧑‍🔧 Computer Repairs Engineer – Computer Aid International

📍 London, England | 🗓️ Feb 2004 – Jan 2007
🔹 Repair of second-hand computers, network troubleshooting, Blancco software

🧪 Projects Completed

  • 🛡️ Testing the Effectiveness of AppArmor – BSc Final Year Project

  • 🔐 Evaluation of Docker’s Security – MSc Dissertation

🏆 Achievements, Awards & Certifications

  • 🧠 Certifications:

    • 🖥️ CompTIA A+, Network+, Server+, Linux+, Green IT

    • 💡 MCSA, MCP (Windows 2000, NT Workstation, Server)

    • 🌐 CCNA (Cisco Certified Network Associate)

    • 🧑‍💻 City & Guilds in IT

Publication Top Notes:

Database Security and Performance: A Case of SQL Injection Attacks Using Docker-Based Virtualisation and Its Effect on Performance

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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

Posted on by ScienceFather

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