Prof. You Yang | Multimodal Learning | Best Researcher Award

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Prof. You Yang | Multimodal Learning | Best Researcher Award

Prof. You Yang, School of Electronic Information and Communications, China

You Yang is a Full Professor and the Vice Dean of the School of Electronic Information and Communications at Huazhong University of Science and Technology (HUST) in Wuhan, China. He is also affiliated with the Wuhan National Laboratory of Optoelectronics. With a strong focus on multi-view computational imaging and multi-modality visual information processing for 3D vision, Professor Yang has held various prominent positions, including Chief Scientist for the Expert Team of Decision-Making Consultants for Emergency Situation Awareness and Emergency Communication Technology with the China Association for Science and Technology, and Chairman of the Wuhan Society of Medical Imaging Technology Research. He has received numerous accolades for his innovations in imaging technology, including multiple silver and gold medals for progress in science and technology from various organizations in China and internationally. His extensive funding portfolio includes projects aimed at advancing multiview video sensing and computation, as well as intelligent situation sensing for urban infrastructure. An accomplished researcher, he has served on various editorial boards and has been actively involved in the organization of international conferences. Professor Yang’s contributions have significantly impacted both academia and industry, making him a leader in the field of 3D vision and imaging technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: You Yang

You Yang is a distinguished Full Professor and Vice Dean of the School of Electronic Information and Communications at Huazhong University of Science and Technology, and a Chief Scientist at the Wuhan National Laboratory of Optoelectronics. His extensive research interests encompass multi-view computational imaging and multi-modality visual information processing for 3D vision, making significant contributions to the field.

Education 🎓

  • Ph.D. in Electronic Information (specific institution not listed)
  • M.S. in Electronic Information (specific institution not listed)
  • B.S. in Electronic Information (specific institution not listed)

Work Experience 💼

  • 2023-Present: Chief Scientist, Expert Team of Decision-Making Consultants for Emergency Situation Awareness, China Association for Science and Technology
  • 2023-Present: Chairman, Wuhan Society of Medical Imaging Technology Research
  • 2020-Present: General Secretary, Technical Committee of Image and Video Processing and Communications, China Society of Image and Graphics
  • 2013-Present: Full Professor and Vice Dean, School of Electronic Information and Communication, Huazhong University of Science and Technology
  • 2011-2013: Chief Scientist and Vice President, Sumavision Research Institute
  • 2009-2011: Postdoc Research Fellow, Department of Automation, Tsinghua University
  • 2010-2011: Project Manager, Intel China Research Center, Beijing
  • 2010-2011: Chief Technical Consultant, Sonic Solutions Company, California, USA
  • 2003-2005: Assistant Professor, Department of Mathematics, China University of Mining and Technology

Achievements 🏆

  • 2023: Silver Medal Winner of Progress of Science and Technology, China Construction Machinery Association
  • 2023: Silver Medal Winner of Progress of Science and Technology, Yunnan Province
  • 2023: Gold Medal Winner, China International College Innovation and Entrepreneurship Competition
  • 2023: IET Impact in Society Awards, Institution of Engineering Technology (IET), United Kingdom
  • 2022: Silver Medal Winner of Progress of Science and Technology, Ministry of Education, China
  • 2021: Silver Medal Winner of Technology Invention, China Society of Image and Graphics
  • 2019: Gold Medal Winner of the 4th National Competition on Education of Computer Science

Awards & Honors 🌟

  • IET Fellow, Institution of Engineering Technology (IET), United Kingdom (2018)
  • Outstanding Innovation of Communication & IT, E&T Innovation Award, IET, United Kingdom (2020)
  • Chutian Scholar, Ministry of Education, Hubei Province, China (2015)
  • 3551 Talent Project Award, Donghu National High-Tech Bureau, China (2013)
  • First Prize Award for Technological Invention, Chinese Ministry of Education (2011)

Publication Top Notes:

Unsupervised learning non-uniform face enhancement under physics-guided model of illumination decoupling

Adaptive CLIP for open-domain 3D model retrieval

End-to-end Deep Video Compression Based on Hierarchical Temporal Context Learning

Geometry-Aware Self-Supervised Indoor 360° Depth Estimation via Asymmetric Dual-Domain Collaborative Learning

An Adaptive Method to Recover High Dynamic Range Images from Multi-camera Systems in Back-Lighting Scenario

Vision-Based Drone Detection in Complex Environments: A Survey

Deep video compression based on Long-range Temporal Context Learning

Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Award

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Dr. Francisco Maria Calisto | Medical Imaging | Best Researcher Award 

Dr. Francisco Maria Calisto, Institute for Systems and Robotics, Portugal

Francisco Maria Calisto is a PhD candidate in Computer Science and Engineering at Instituto Superior Técnico, Universidade de Lisboa, Portugal, where he also completed his MSc and BSc degrees. His doctoral research, supervised by Prof. Jacinto Nascimento and Prof. Nuno Nunes, focuses on the human-centered design of personalized intelligent agents in medical imaging diagnosis, aiming to enhance clinical decision-making through the integration of AI. He has been a doctoral researcher at ISR-Lisboa, where he developed intelligent agents to assist in breast cancer diagnosis, and has held visiting scholar positions at Carnegie Mellon University, working on human-machine collaboration in healthcare. Francisco’s academic contributions include various scholarships, teaching assistant roles, and research fellowships, along with expertise in deep learning techniques and user-centered design approaches in healthcare technology. He is actively involved in research that bridges human-computer interaction and medical applications, aiming to improve diagnostic efficiency and clinician satisfaction.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Based on the provided curriculum vitae of Francisco Maria Calisto, it is evident that he is an exceptionally qualified candidate for the Best Researcher Award in the field of Computer Science and Engineering. His extensive academic and research background highlights several key attributes that support his suitability for this recognition.

📚 Education:

  • 🎓 PhD in Computer Science and Engineering (2024) – Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • 🎓 MSc in Information Systems and Computer Engineering (2018) – Instituto Superior Técnico, Universidade de Lisboa, Portugal
  • 🎓 BSc in Computer Science and Engineering (2017) – Instituto Superior Técnico, Universidade de Lisboa, Portugal

💼 Work Experience:

  • 🔬 Doctoral Researcher (2020 – 2024) – ISR-Lisboa, Lisbon, Portugal
  • 🌎 Visiting Scholar (2022 – 2023) – Carnegie Mellon University (CMU), USA
  • 🏥 Research Fellow (2018 – 2019) – Interactive Technologies Institute (ITI), Lisbon, Portugal
  • 🤖 Research Engineer (2016 – 2018) – ISR-Lisboa, Lisbon, Portugal
  • 🖥️ Online Editor & Web Developer (2016 – 2017) – Elsevier (Remote, UK)
  • 🧠 Research Assistant (2015 – 2017) – INESC-ID, Lisbon, Portugal
  • 💡 Summer Intern (2015) – INESC-ID, Lisbon, Portugal

🎓 Teaching Experience:

  • 👨‍🏫 Invited Teaching Assistant (2023 – Present) – Instituto Superior Técnico (IST), Lisbon, Portugal
  • 🏫 Teaching Assistant (2019) – Instituto Superior Técnico (IST), Lisbon, Portugal
  • 📖 Supporting Lecturer (2016 – 2019) – Instituto Superior Técnico (IST), Lisbon, Portugal

🏆 Achievements, Awards & Honors:

  • 🎖️ FCT Scholarship (2020 – 2024) – Fundação para a Ciência e a Tecnologia (PD/BD/150629/2020)
  • 🏅 CMU Portugal Program Scholarship (2018 – 2019) – (CMU/ECE/0005/2017)
  • 🎓 BL89/2017-IST-ID Scholarship (2017 – 2018)
  • 🌍 Developed BreastScreening-AI Framework – Enhancing breast cancer diagnosis using AI
  • 🏆 Published in Top Scientific Journals & Conferences – Google Scholar: KI0G_SUAAAAJ

Publication Top Notes:

BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions

Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification

BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

Dimensions Of Trust Scale (DOTS) LaTeX Version: v1.0.2-alpha

Towards touch-based medical image diagnosis annotation

 

Prof. Dr. Gennadii Golub | Solar Energy | Best Researcher Award

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Prof. Dr. Gennadii Golub | Solar Energy | Best Researcher Award 

Prof. Dr. Gennadii Golub, National University of Life and Environmental Sciences of Ukraine, Ukraine

Gennadii Golub, is a Ukrainian professor and researcher specializing in agricultural mechanization, bio-energy systems, and engineering management. He currently serves as a professor in the Department of Technical Service and Engineering Management named after M.P. Momotenko at the National University of Life and Environmental Sciences of Ukraine. With a career spanning over four decades, he has held various research and leadership positions, including Director of the Research Institute of Engineering and Technology and Head of the Department of Tractors, Automobiles, and Bio-Energy Systems. His academic journey includes an Electromechanical Engineering degree from the Ukrainian Agricultural Academy and doctoral research at the National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS. Golub has significantly contributed to the advancement of mechanization in agriculture, fuel and energy resource management, and biotechnological processes. Proficient in Microsoft Office tools and an independent user of English, he remains actively engaged in research and education, shaping the future of agricultural engineering in Ukraine.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Gennadii Golub has an extensive research background in agricultural mechanization, biofuels, and electrophysical methods in agriculture. His career spans over three decades, during which he has held key research and academic positions, including roles as a Senior Researcher, Head of Department, and Professor. His contributions to engineering and technology, particularly in bio-energy systems and agricultural mechanization, indicate significant expertise and impact in his field.

🎓 Education & Training

📍 Nikopol Technical School of Hydromelioration and Agricultural Mechanization (Ukraine)
📅 1974 – 1978 | 🎖️ Electromechanical Technician

📍 Ukrainian Agricultural Academy (Kyiv, Ukraine)
📅 1978 – 1983 | 🎖️ Electromechanical Engineer

📍 Ukrainian Research Institute of Mechanization and Electrification of Agriculture (Ukraine)
📅 1984 – 1987 | 🎖️ Postgraduate Student

📍 National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS (Ukraine)
📅 2000 – 2003 | 🎖️ Doctoral Student

🏆 Work Experience

🔹 Electrical Equipment Engineer | Agricultural Collective Farm, Dnipropetrovsk, Ukraine (1983 – 1984)
🔹 Junior Research Fellow | Ukrainian Research Institute of Mechanization and Electrification of Agriculture (1987 – 1989)
🔹 Researcher | Ukrainian Research Institute of Mechanization and Electrification of Agriculture (1989 – 1995)
🔹 Senior Researcher | National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS (1995 – 2000)
🔹 Leading Researcher | National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS (2004 – 2005)
🔹 Head of Laboratory | National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS (2005 – 2006)
🔹 Head of Department | National Scientific Center “Institute of Mechanization and Electrification of Agriculture” of UAAS (2006 – 2011)
🔹 Director | Research Institute of Engineering and Technology, Kyiv, Ukraine (2011 – 2015)
🔹 Head of Department | National University of Life and Environmental Sciences of Ukraine (2015 – 2020)
🔹 Professor | National University of Life and Environmental Sciences of Ukraine (2020 – Present)

🏅 Achievements, Awards & Honors

🌍 Expert in Agricultural Mechanization & Bio-Energy Systems
📖 Published multiple research papers in agricultural engineering
🔬 Pioneered electrophysical methods in agriculture
🏆 Recognized for contributions in biofuel production & mechanization
📚 Mentored students & led academic research projects

Publication Top Notes:

Determination of the Installation Efficiency of Vertical Stationary Photovoltaic Modules with a Double-Sided “East–West”-Oriented Solar Panel

Defining indicators for the anaerobic fermentation process of aquaculture wastewater sediments

Determining the influence of structural and technological parameters of strip tillage on sunflower vegetation

Substantiating the structural and technological parameters of tillage rotary X-like working bodies

Determining the influence of seasonal tilt angle on the efficiency of fixed solar photovoltaic modules

Determining the influence of mounting angle on the average annual efficiency of fixed solar photovoltaic modules

Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

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Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

Prof. Lianwei Chen, Institute of Optics and Electronics, Chinese Academy of Sciences, China

Lianwei Chen is a distinguished professor at the Institute of Optics and Electronics, Chinese Academy of Sciences, specializing in laser micro/nano-processing and optical vector fields. With over 30 publications in top-tier journals, including Science Advances and Applied Physics Reviews, and a recipient of the prestigious Wang Gungwu Medal for his outstanding Ph.D. thesis, Lianwei has made significant contributions to spatial-temporal optical field manipulation and quantum imaging experiments. His innovative approach extends beyond academia; as a co-founder of two successful spin-offs, he has transformed research into commercial products, earning recognition for his work in technology commercialization. Lianwei holds a Ph.D. from the National University of Singapore, where he also received first-class honors during his Bachelor’s degree. His expertise and leadership in the field are further exemplified through his involvement with professional associations such as the Optical Society of America and the International Society for Optics and Photonics.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Lianwei Chen is a leading expert in laser micro/nano-processing and optical vector field manipulation. His innovative research aims at developing advanced laser fabrication techniques for micro- and nano-structures, coupled with optical imaging to enhance processed samples. With over 30 publications in prestigious journals such as Science Advances and Applied Physics Reviews, along with a book chapter and numerous invited talks, Dr. Chen has established himself as a prominent figure in the optics community. He has also been recognized with an award from a Nature Series Journal, underscoring his impactful contributions.

Education 🎓

  • Ph.D. in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2015 – Dec. 2019
    Scholarship: NUS Graduate School for Integrative Sciences and Engineering
    Supervisor: Prof. Hong Minghui

  • Bachelor (Hon.) in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2010 – Feb. 2015
    Honors: First Class Honor, Ranking 1st in specialization

  • Exchange Program
    University of British Columbia (UBC), Canada
    Duration: Jan. 2013 – Apr. 2013
    Award: NUS-UBC Lee Foundation Student Exchange Award

Work Experience 💼

  • Professor
    Institute of Optics and Electronics, Chinese Academy of Sciences, China
    Duration: July 2022 – Present
    Focus: Spatial-temporal optical field manipulation

  • Research Fellow
    National University of Singapore (NUS), Singapore
    Duration: July 2019 – June 2022
    Focus: Quantum imaging experiments

  • Assistant Manager
    Light: Science & Application (Nature Publishing Group)
    Duration: Aug. 2016 – Dec. 2017

  • Staff
    Optoelectronics Advances (IOE, Chinese Academy of Science)
    Duration: Dec. 2017 – Dec. 2019

  • Lab Work History

    • NUS Optical Science & Engineering Center (2017-2019)
    • NUS Laser Microprocessing Lab (2014-2017)
    • Singapore Institute of Manufacturing Technology (SIMTech), A*STAR (May – Aug. 2012)
    • Institute of Materials Research and Engineering (IMRE), A*STAR (May – Aug. 2013)

Achievements 🌟

  • 30+ Publications in top-tier journals (e.g., Science Advances, Applied Physics Reviews)
  • Co-founder of two spin-offs with over 20 staff
  • First-inventor patents licensed and globally launched products
  • Invited to publish on technology commercialization in iScience journal, Cell Press

Awards & Honors 🏆

  • National Level Youth Talent Project, China (2023)
    One of four recipients nationwide
  • Wang Gungwu Medal and Prize (2020)
    Top PhD thesis in Natural Science, NUS
  • Third Prize, Rising Star of Light (2018)
    Nature Publishing Group
  • Shortlisted for Design of the Year (2018)
    President’s Design Award, Singapore
  • Top 10 Ideas (University Category, 2014)
    Samsung Solve for Tomorrow Contest
  • Outstanding Undergraduate Researcher Prize (2014)
    NUS
  • Invited Scholar (2011)
    World Leadership Conference, Singapore

Publication Top Notes:

Vectorial-Optics-Enabled Multi-View Non-Line-Of-Sight Imaging with High Signal-To-Noise Ratio

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Global Selection Rules and Giant Enhanced Harmonic Generations in LiNbO3 Nonlinear Meta-Optics

 

Prof. Gour Paul | Image Processing | Best Researcher Award

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Prof. Gour Paul | Image Processing | Best Researcher Award

Prof. Gour Paul, Department of Mathematics, University of Rajshahi, Bangladesh

Dr. Gour Paul, a distinguished mathematician and professor at the University of Rajshahi, Bangladesh, specializes in planetary evolution, Earth science, and numerical methods. Born on November 20, 1974, Dr. Gour Paul has a rich academic background, earning his Ph.D. in Mathematics in 2005 from the University of Rajshahi, where he focused on protoplanetary models of planetary formation. He further enhanced his expertise through a postdoctoral fellowship at the School of Mathematical Sciences, Universiti Sains Malaysia. With over 15 years of experience in academia, Dr. [Name] has held various positions, including Associate Professor and Lecturer at the same institution, before becoming a full professor in 2013. His research contributions include investigating storm surge modeling and developing numerical methods for solving differential equations. Gour Paul has received several accolades for his exceptional research, including the SHEN Award for excellence in research in 2021 and the Dean’s Award in 2015. He is actively engaged in simulating water levels and predicting storm surges, demonstrating his commitment to advancing knowledge in applied mathematics and its practical applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Gour Chandra Paul has made significant contributions in the fields of planetary evolution and Earth science. His work on protoplanets, focusing on their structure and formation processes, reflects deep insights into both solar and extra-solar planetary systems. By investigating heat transfer mechanisms and sedimentation processes within protoplanets, Dr. Paul has advanced the understanding of planetary formation dynamics. In Earth science, he has applied advanced numerical modeling techniques to analyze storm surges, demonstrating expertise in finite difference methods and harmonic analysis. His research has practical implications for predicting storm tracks and assessing inundation areas, which are critical in disaster management for coastal regions like Bangladesh.

🎓 Education

  • 2010: Postdoctoral Fellow, School of Mathematical Sciences, University Sains Malaysia, Pulau Pinang, Malaysia (July 1, 2010 – July 31, 2011)
  • 2005: Ph.D. in Mathematics, University of Rajshahi
    Thesis Title: Investigation of some aspects of protoplanetary model of planetary formation.
  • 1995: M.Sc. in Applied Mathematics, Rajshahi University (First Class, First Position)
  • 1994: B.Sc. in Mathematics, Rajshahi University (First Class, Second in Science Faculty)
  • 1991: HSC, Rajshahi Board, Bogra Azizul Hoque College (First Division)
  • 1989: SSC, Rajshahi Board, Talora Altaf Ali High School (First Division)

💼 Work Experience

  • July 1, 2017 – Present: Professor (Grade 2), Department of Mathematics, University of Rajshahi
  • January 4, 2013 – Present: Professor, Department of Mathematics, University of Rajshahi
  • March 30, 2008 – January 3, 2013: Associate Professor, Department of Mathematics, University of Rajshahi
  • August 1, 2012 – August 21, 2012: Post-Doctoral Visiting Researcher, Universiti Sains Malaysia
  • July 1, 2010 – July 31, 2011: Post-Doctoral Fellow, Universiti Sains Malaysia
  • March 30, 2008 – June 30, 2010: Associate Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2003 – March 29, 2008: Assistant Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2000 – March 27, 2003: Lecturer, Department of Mathematics, University of Rajshahi

🏆 Achievements & Awards

  • 2021: SHEN AWARD for Excellence in Research
  • 2015: Dean’s Award, Faculty of Science, University of Rajshahi for Excellent Research Work in Physical and Mathematical Sciences
  • 1995: Sayed Amir Ali Award, Post Graduate Scholarship, Rajshahi University
  • 1994-1995: Graduate Talent Scholarship, Rajshahi University
  • 1989-1991: Board’s Scholarship

Publication Top Notes:

Emulating cyclone Roanus interaction with tide and surge through the method of lines: a numerical analysis

Unveiling protoplanetary structure equations: Semi-analytical solutions via the homotopy analysis method

On the radius spectrum of solid grains settling in polytropic protoplanets

Exploring dynamic behaviors of diverse electrical soliton pulses in lossy nonlinear electrical transmission lines: Insights from analytical method and linear stability analysis technique

Exploring dynamic behaviors of soliton-like pulses in the lossy electrical transmission line model with fractional derivatives: A comparative study

Mr. Alireza Najafzadeh | Drone Delivery | Best Researcher Award

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Mr. Alireza Najafzadeh | Drone Delivery | Best Researcher Award

Mr. Alireza Najafzadeh, Iran University of Science and Technology, Iran

Alireza Najafzadeh is a dedicated engineer specializing in computer networks and mobile telecommunications. He is currently pursuing a Master’s degree in Computer Engineering at Iran University of Science and Technology (IUST), with a research focus on UAV networks and mobility management. With extensive experience in 4G and 5G technologies, he has been actively involved in research and deployment of 5G standalone (SA) and non-standalone (NSA) networks, as well as 4G functionalities. Alireza has worked as a 5G Engineer at Cellular Network Research in Tehran since March 2022, contributing to core network functions and software-defined radio (SDR) implementations. He has also served as a Mobile Network Engineer at IUST and played a key role in an OAI project, working on 4G and 5G core and RAN components. His expertise extends to network security, IoT, and cryptography, and he has experience as a teaching assistant in advanced network security and mobile network courses. Proficient in Python, Linux, C/C++, and virtualization technologies such as Docker, Alireza is passionate about cutting-edge advancements in mobile networks and telecommunications.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Alireza Najafzadeh

Alireza Najafzadeh has a strong background in 5G networks, mobile networking, UAV networking, and network security, making him a promising researcher in wireless communications and next-generation networks. His experience in deploying 4G and 5G networks, RAN slicing, and working with Software-Defined Radios (SDR) and USRP demonstrates hands-on technical expertise in cutting-edge telecommunications research. His master’s research on UAV Networks and Mobility Management, particularly focusing on energy-efficient UAV base station positioning to enhance wireless connectivity, aligns with innovative and future-oriented research in next-generation communication networks.

🎓 Education

  • Master’s in Computer Engineering — Computer Networks
    📍 Iran University of Science and Technology (IUST), Tehran (2020 – 2024)
    🔍 Thesis: UAV Networks and Mobility Management

  • Bachelor’s in Computer Engineering — Software Engineering
    📍 Gonbad Kavoos University, Gonbad (2018 – 2022)

💼 Work Experience

  • 5G Engineer
    📍 Cellular Network Research, Tehran (March 2022 – Present)
    🔹 Research & deployment of 5G SA network
    🔹 Working with USRP & deploying SDR NR-UE
    🔹 Research on 5G Core Network Functions
    🔹 Research & deployment of 4G functions & 5G NSA

  • Mobile Network Engineer
    📍 IUST, Tehran (April 2022 – October 2022)
    🔹 Worked on mobile network project with RAN slicing

  • Developer (OAI Project, Online)
    (2022 – Present)
    🔹 Working on 4G & 5G projects (Core & RAN)
    🔹 Experience with gNB, eNB, nr-ue, lte-ue

  • Teaching Assistant (IUST, Tehran)
    (September 2021 – January 2023)
    🎓 Assisted in Advanced Network Security & Mobile Network courses

🏆 Achievements, Awards & Honors

  • 🚀 Contributed to 5G SA Network Deployment
  • 🔬 Research on UAV Networks & Mobility Management
  • 🏅 TA for Advanced Network Security & Mobile Networks
  • 💡 Expertise in OpenAirInterface (OAI) 4G/5G projects

🛠 Skills

💻 Programming: Python, Linux, C/C++
🛠 Technologies: Virtualization, Docker
📡 Specialized Fields:

  • Computer Networking & Mobile Networks
  • UAV Networking & IoT
  • Cryptography & Network Security

Publication Top Notes:

Dr. Tarik Zarrouk | Metal Fabrication | Best Scholar Award

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Dr. Tarik Zarrouk | Metal Fabrication | Best Scholar Award 

Dr. Tarik Zarrouk, Université Mohamed Premier Oujda, Morocco

Dr. Tarik Zarrouk is a researcher and educator specializing in Mechanics, Materials, and Manufacturing. He earned his Ph.D. from the Faculty of Sciences in Oujda, where his research focused on finite element modeling of milling processes in composite and metallic honeycomb structures, specifically Nomex and Aluminum. He also holds a Master’s degree in Mechanics & Energetics and a Bachelor’s degree in Physics. Dr. Zarrouk has extensive academic and industrial experience, having served as a postdoctoral researcher at the LEM3 Laboratory at the University of Lorraine, France, in collaboration with Evatec Tools, where he worked on intelligent machining solutions for honeycomb sandwich materials. He has supervised doctoral and master’s research projects on advanced machining technologies and material optimization. As a dedicated educator, Dr. Zarrouk has been a lecturer at various institutions, including the École Supérieure de Technologie and the École Nationale des Sciences Appliquées in Oujda, where he has taught subjects ranging from thermodynamics and metrology to mechanical processes and CNC machining. Additionally, he has served as a high school physics and chemistry teacher for over a decade.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award – Dr. Tarik Zarrouk

Dr. Tarik Zarrouk is a highly qualified researcher with a strong background in mechanical engineering, materials, and manufacturing. His extensive academic journey, from earning a Ph.D. in Mechanics, Materials, and Manufacturing to his postdoctoral research at the University of Lorraine, demonstrates a deep commitment to advancing knowledge in his field. His research contributions focus on numerical modeling, machining of composite and metallic honeycomb structures, and the development of intelligent machining solutions—topics that are both innovative and impactful in modern manufacturing.

Education 🎓

  • Doctorate in Mechanics – Materials – Manufacturing (2019-2022), Faculty of Sciences, Oujda
    • Thesis: Finite Element Modeling of the Milling Process for Composite and Metallic Honeycomb Structures (Nomex & Aluminum)
  • Master’s in Mechanics & Energy (2006-2008), Faculty of Sciences, Oujda
    • Thesis: Numerical Modeling of Natural Convection in a Square Cavity Using the Lattice Boltzmann Method
  • Bachelor’s in Physics and Material Sciences (2005-2006), Faculty of Sciences, Oujda
  • University Diploma in General Studies (2002-2005), Faculty of Sciences, Oujda
  • High School Diploma in Experimental Sciences (2001-2002), Lycée Ennahda, Ahfir

Work Experience 💼

  • Postdoctoral Researcher (2022-2024), LEM3 Laboratory, University of Lorraine (France) & Evatec Tools
    • Research: Development of Smart Machining Solutions for Honeycomb Sandwich Materials
  • PhD Supervisor (2023-2024), InSIC, University of Lorraine (France)
    • Research: Development and Analysis of Honeycomb Structure Machining using RUM Technology
  • University Lecturer (2021-2024) (Part-time, Various Institutions in Morocco)
    • Courses: Thermodynamics, Mechanical Engineering, CNC Machine Tools, Manufacturing Processes, Automotive Air Conditioning, Solid Mechanics, Metrology, and Electromagnetism
  • High School Physics & Chemistry Teacher (2011-2024), Lycée Ennahda, Ahfir
  • Scientific Reviewer (2021-2024) for Indexed International Journals
    • Springer: Environmental Science and Pollution Research
    • Elsevier: Ultrasonic, Journal of Manufacturing Processes, Materials Today: Proceedings
    • Hindawi: International Journal of Energy Research

Achievements & Contributions 🏆

  • Research Supervision & Mentorship
    • Supervised PhD and Master’s theses in machining, composites, and thermal processes
  • Industry Collaboration 🤝
    • Worked with Evatec Tools (France) on machining innovations
  • Scientific Publications & Peer Reviewing 📑
    • Reviewer for high-impact international journals
  • Teaching & Training 👨‍🏫
    • Designed and delivered courses at engineering and technology institutions
  • Technical Skills & Certifications 🛠️
    • LaTeX, Web of Science, Experimental Computer-Assisted Learning (EXAO)

Publication Top Notes:

Numerical Modeling and Optimization of Nomex Honeycomb Core Milling: Influence of Longitudinal and Longitudinal–Torsional Ultrasonic Vibrations

In-Depth Analysis of the Processing of Nomex Honeycomb Composites: Problems, Techniques and Perspectives

Three-Dimensional Finite Element Modeling of Ultrasonic Vibration-Assisted Milling of the Nomex Honeycomb Structure

Enhancing the Machining Performance of Nomex Honeycomb Composites Using Rotary Ultrasonic Machining: A Finite Element Analysis Approach

Numerical Simulation of Rotary Ultrasonic Machining of the Nomex Honeycomb Composite Structure

Mr. Abhijeet Thakare | Network Security | Best Researcher Award

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Mr. Abhijeet Thakare | Network Security | Best Researcher Award 

Mr. Abhijeet Thakare, Industrial Engineering, South Korea

Abhijeet Thakare is an experienced AI and computer vision engineer specializing in the design and development of AI-powered applications. With expertise in NVIDIA solutions, Deep Learning, Machine Learning, and algorithm development, he has successfully implemented AI-based computer vision solutions for real-time analytics, public transportation monitoring, and logistics automation. Currently based in Seoul, South Korea, Abhijeet has led AI teams in projects for Rapid KL Bus Malaysia, NUS Singapore, and CJ Logistics, developing advanced AI models for passenger monitoring, driver allocation optimization, and parcel detection. Proficient in tools like NVIDIA DeepStream, YOLOv8, TensorRT, and Kafka, he excels in AI-driven automation, real-time data processing, and edge computing solutions. With a strong research aptitude and problem-solving skills, Abhijeet continues to drive innovation in AI and computer vision applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Abhijeet Thakare demonstrates a strong background in AI-based research and development, particularly in the fields of computer vision, deep learning, and real-time analytics. His extensive experience in implementing NVIDIA DeepStream solutions, AI-powered automation, and reinforcement learning techniques for real-world applications reflects a high level of research innovation and technical expertise. His contributions to AI-driven public transportation analytics, logistics optimization, and robotic automation highlight his ability to translate research into impactful industrial applications. Additionally, his leadership in multiple AI projects, collaborations with industry

📚 Education

🎓 Bachelor’s & Master’s Degree (Details Not Provided)

  • Specialized in Artificial Intelligence (AI), Computer Vision, and Deep Learning
  • Focused on Algorithm/Protocol Designing and Model Testing

💼 Work Experience

🚍 CTO & Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Oct 2024
📌 Project: Rapid KL Bus Malaysia + Paymentinapp

  • Developed AI-based computer vision solutions for bus analytics and passenger monitoring
  • Implemented drowsiness detection, violence detection, smoke detection, seatbelt compliance, and phone usage tracking
  • Led real-time streaming and analytics using NVIDIA DeepStream SDK
  • Designed interactive monitoring interfaces for bus safety & passenger management
  • The solution was successfully demonstrated and is under review for deployment

🗺️ Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 July 2024 – Aug 2024
📌 Project: Rapid KL Malaysia + Paymentinapp

  • Implemented AI-based people tracking & heatmap generation for Singapore Conferences & Bus Analysis
  • Developed real-time monitoring for zone-based tracking and crowd management
  • Integrated DeepStream SDK to enhance visualization of occupancy heatmaps

🚎 Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Ongoing
📌 Project: Rapid KL Malaysia + NUS Singapore + Paymentinapp

  • Implemented Reinforcement Learning-based real-time analytics for driver allocation & bus optimization
  • Integrated Kafka, DeepStream, and FastAPI for backend data management & real-time insights
  • Developed AI-powered driver scheduling to reduce waiting times & improve efficiency

📦 AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 June 2024 – Sep 2024
📌 Project: Paymentinapp + CJ Logistics

  • Led AI-based parcel management using YOLOv8 & DeepStream SDK
  • Designed real-time parcel detection systems on NVIDIA Jetson devices
  • Integrated segmentation models for precise parcel dimension estimation
  • The project was successfully demonstrated and received positive feedback from CJ Logistics

🏆 Achievements & Awards

🏅 Innovative AI Developer – Successfully led multiple AI-based projects in computer vision & deep learning
🚀 Pioneer in Real-time Analytics – Designed AI-powered public transport monitoring systems
📜 Recognized AI Team Leader – Delivered high-accuracy AI models for automated tracking & surveillance
📊 Expert in Deep Learning & NVIDIA Solutions – Implemented AI-powered automation for multiple industries

Publication Top Notes:

Secure and efficient authentication scheme in iot environments

Dr. Xingquan Li | Wireless communications | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Xingquan Li | Wireless communications | Best Researcher Award

Dr. Xingquan Li, Shenzhen Institute of Information Technology, China

Dr. Xingquan Li is a dedicated researcher and lecturer at the Shenzhen Institute of Information Technology, specializing in intelligent information processing and wireless communications. He earned his Ph.D. from Shenzhen University in 2019, where his research focused on energy-efficient resource allocation for distributed antenna systems (DAS) with device-to-device (D2D) communication under the supervision of Prof. Jihong Zhang and Dr. Chunlong He. Prior to that, he completed his Master’s degree in Computer Applications Technology at Lanzhou University of Technology, researching complex networks, and obtained a Bachelor of Engineering from Yuncheng University. Dr. Li has been an active academic, serving as a Lecturer in the School of Microelectronics at the Shenzhen Institute of Information Technology since 2019. His commitment to advancing research led him to a Visiting Scholar position at Queen Mary University of London (2019-2021), where he collaborated on cutting-edge projects in wireless communications. His research interests encompass device-to-device (D2D) communication, full-duplex communications, reconfigurable intelligent surfaces (RIS), simultaneous wireless information and power transfer (SWIPT), and backscatter communication.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award – Xingquan Li

Dr. Xingquan Li is a researcher specializing in energy-efficient wireless communications and intelligent information processing, with a strong academic background and research experience. His work focuses on Device-to-Device (D2D) communication, Full-Duplex communications, Reconfigurable Intelligent Surfaces (RIS), Simultaneous Wireless Information and Power Transfer (SWIPT), and Backscatter communication, which are critical areas in modern wireless networks.

🎓 Education

  • 📡 Ph.D. in Intelligent Information Processing (2015 – 2019)

    • 🏫 Shenzhen University, China
    • 📝 Research Topic: Energy-efficient resource allocation for distributed antenna systems (DAS) with device-to-device (D2D) communication
    • 👨‍🏫 Advisors: Prof. Jihong Zhang & Dr. Chunlong He

  • 💻 Master in Computer Applications Technology (2012 – 2014)

    • 🏫 Lanzhou University of Technology, China
    • 📝 Research Topic: Complex networks
    • 👨‍🏫 Advisor: Prof. Rui Li

  • 🖥️ Bachelor of Engineering in Computer Applications Technology (2007 – 2011)

    • 🏫 Yuncheng University, China

💼 Work Experience

  • 👨‍🏫 Lecturer, Shenzhen Institute of Information Technology (June 2019 – Present)

    • 🏫 School of Microelectronics

  • 🔬 Visiting Scholar, Queen Mary University of London (2019 – 2021)

    • 🏫 School of Electronic Engineering and Computer Science, Faculty of Science and Engineering

🏆 Scholarships & Awards

  • 🎖️ National Graduate Scholarship (2016)
  • 🥇 School First Prize (2013)
  • 🏅 National Graduate Scholarship (2009)

🔬 Research Interests

  • 📶 Device-to-Device (D2D) Communication
  • 🔄 Full-Duplex Communications
  • 🛰️ Reconfigurable Intelligent Surface (RIS)
  • ⚡ Simultaneous Wireless Information and Power Transfer (SWIPT)
  • 📡 Backscatter Communication

Publication Top Notes:

Joint optimization trajectory and resource allocation for UAV-assisted semantic communications

An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure

Robust beamforming design for energy harvesting efficiency maximization in RIS-aided SWIPT system

Dr. Yu Cao | Image Brightening | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Yu Cao | Image Brightening | Best Researcher Award 

Dr. Yu Cao, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China

Dr. Yu Cao is an Associate Researcher and Graduate Supervisor at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), in Xi’an, China. He earned his Ph.D. in Information and Communication Engineering from Xi’an Jiaotong University in December 2023. His research focuses on space precision tracking, aiming, and measurement, with applications in aerospace and national defense. Over the past five years, Dr. Cao has led and completed over ten major projects, including the optoelectronic imaging payload turret subsystem for the XA spacecraft, securing approximately 120 million RMB in funding. His work has contributed to breakthroughs in high-stability tracking and high-precision aiming technologies, significantly enhancing China’s capabilities in space payload tracking under dynamic conditions. Dr. Cao has published 14 high-quality papers as the first or corresponding author, holds 11 authorized invention patents, and has authored a monograph. Recognized for his contributions, he was appointed as an Associate Researcher through the Outstanding Young and Middle-Aged Talents Program in 2022 and became a member of the Youth Innovation Promotion Association of CAS in 2024. Additionally, he serves as a graduate supervisor at the University of Chinese Academy of Sciences and an external graduate supervisor at Northwestern Polytechnical University and Xi’an Jiaotong University.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award 

Dr. Yu Cao is a distinguished Associate Researcher at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), specializing in space precision tracking, aiming, and measurement. His exceptional contributions to aerospace and national defense make him a strong candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Information and Communication Engineering (Dec. 2023) – Xi’an Jiaotong University, China

💼 Work Experience

  • Associate Researcher (Graduate Supervisor) – Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), Xi’an, China

🏆 Achievements & Contributions

  • Led & completed 10+ major projects 🔬, including the XA spacecraft optoelectronic imaging payload turret subsystem, a key national scientific and technological task
  • Secured ~120 million RMB in research funding 💰
  • Solved critical challenges in space precision tracking, aiming, and measurement 🚀
  • Published 14 high-quality papers as the first or corresponding author 📄
  • Secured 11 authorized invention patents 🔖
  • Authored 1 monograph 📖

🎖 Awards & Honors

  • Associate Researcher Appointment (2022) – Outstanding Young and Middle-Aged Talents Program 🏅
  • Selected Member (2024) – Youth Innovation Promotion Association, Chinese Academy of Sciences 🌟
  • Graduate Supervisor – University of Chinese Academy of Sciences 🎓
  • External Graduate Supervisor – Northwestern Polytechnical University & Xi’an Jiaotong University 🎓
  • Committee Member – Image Analysis Branch, Chinese Society of Stereology 🏛
  • Science & Technology Expert – Shaanxi Province 🔬
  • Reviewer – Journals such as Infrared and Laser Engineering 📑

Publication Top Notes:

Multi-Scale Long- and Short-Range Structure Aggregation Learning for Low-Illumination Remote Sensing Imagery Enhancement

Phase change thermal control system for space high-power laser diode pumping source array