Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award

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Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award 

Mr. Xueye Chen, ludong university, China

Chen Guorong is a Ph.D. professor and Master’s supervisor, currently serving as the Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence) at Chongqing University of Science and Technology. Recognized as a Chongqing Leading Talent in Technological Innovation and a Chongqing Academic and Technical Leader, he has made significant contributions to the fields of artificial intelligence and safety production informatization. He has held esteemed academic roles, including Vice Chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Chongqing Chapter and General Chair of the IEEE International Conference on Industrial Cyber-Physical Systems and Intelligent Manufacturing (IICSPI) 2025. With a research portfolio encompassing over 20 provincial and ministerial-level projects, 40+ SCI-indexed publications, and 10 authorized patents, he has been honored with nine provincial/ministerial scientific awards. As a visiting scholar at the University of Ottawa, Canada, Chen has fostered international academic collaboration. His pioneering work in smart emergency response and safety production has driven industry-academia partnerships, influencing technological innovation and contributing significantly to global research and societal advancements.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Chen Guorong is a highly accomplished researcher with a strong background in Artificial Intelligence and Safety Production Informatization. His extensive leadership roles, research achievements, and contributions to technological innovation make him an outstanding candidate for the Best Researcher Award.

🎓 Education & Work Experience

  • Ph.D., Professor, and Master’s Supervisor at Chongqing University of Science and Technology.

  • Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence).

  • Visiting Scholar at the University of Ottawa, Canada.

🏆 Awards & Honors

  • Chongqing Leading Talent in Technological Innovation.

  • Recognized as a Chongqing Academic and Technical Leader.

🔬 Research & Achievements

  • Research Interests: Artificial Intelligence & Safety Production Informatization.

  • Led 20+ provincial/ministerial-level research projects.

  • Published 40+ SCI-indexed papers.

  • Holds 10 authorized patents.

  • Recipient of 9 provincial/ministerial-level scientific awards.

  • Pioneered industry-academia collaboration in smart emergency response and safety production, contributing to global innovation.

🌍 Academic & Professional Engagements

  • Vice Chair of IEEE GRSS Chongqing Chapter.

  • Head of Technology & Informatization Group, Chongqing Emergency Management Expert Committee.

  • Vice Chairman of Chongqing Petroleum and Gas Society.

  • General Chair of IEEE IICSPI 2025.

Publication Top Notes:

Fabrication and energy collection of PDMS/dimethylsilicone oil superhydrophobic high tensile film

Porous Carbon Nanoparticle Composite Paper Fiber with Laser-Induced Graphene Surface Microstructure for Pressure Sensing

A pressure sensor made of laser-induced graphene@carbon ink in a waste sponge substrate using novel and simple fabricaing process for health monitoring

Numerical simulation and performance study of three-dimensional variable angle baffle micromixer

A novel dual-mode paper fiber sensor based on laser-induced graphene and porous salt-ion for monitoring humidity and pressure of human

Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure

A novel micromixer based on coastal fractal for manufacturing controllable size liposome

Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

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Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

Dr. Niss Skov Nielsen, Centre for Health Research, Zealand University Hospital, Nykoebing F, Denmark

Niss Skov Nielsen is an Associate Professor at the Centre for Health Research, Zeeland University Hospital, Nykøbing F. He has an extensive background in public health, environmental health, and epidemiology, with over 30 years of experience in research, project management, and academia. He has held key positions at institutions such as the Danish National Board of Health, the National Institute of Public Health, and the Danish Building Research Institute. His expertise spans health policy, indoor climate and health, epidemiological research, and health economics. He holds a Ph.D. in Health Sciences from the University of Copenhagen and has represented Denmark in various international health and environmental policy initiatives, including WHO and EU collaborations.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Niss Skov Nielsen is a highly qualified researcher with extensive experience in public health, environmental health, and epidemiology. His career spans multiple prestigious institutions, including the National Institute of Public Health, the Danish National Board of Health, and the Danish Building Research Institute. With a Ph.D. in Health Sciences and a strong publication record in environmental health, workplace well-being, and indoor climate research, he has made significant contributions to both academic and policy-driven research. His leadership roles in national and international health initiatives further establish his suitability for the Best Researcher Award.Strengths & Qualifications:

🎓 Educational Background

  • 1991: Master of Science from the University of Copenhagen 🏛️ (Majors: Biology & Sports)
    • Thesis: Protein Kinase C Activity in Rat Muscle During Work/Growth 🐀
  • 1992: Medical Master’s Degree in Human Biology from the University of Copenhagen 🏥
  • 1998: Ph.D. from the Faculty of Health Sciences, University of Copenhagen 🎓
    • Thesis: Health and Lifestyles Among Students from Upper Secondary Education 📊
  • 2005: Diploma in Organization & Management in the Health Sector at the Southern School of Business 📈
    • Graduation Project: Decision-Making Efficiency & Cost-Effectiveness in an Inter-Organizational Network 🔄
  • 2024: Master in Environmental Assessment (Focus: Indoor Climate & Health) from Aalborg University 🌍🏠

👨‍💼 Work Experience

  • 1994-1997: Health Coordinator for Frederiksborg County’s Health Projects 🏥
  • 1998-2003: Project Manager & Researcher at the National Institute of Public Health 📊
    • Managed the Danish Health & Morbidity Survey 🩺
  • 2003-2004: Clinical Coordinator & Product Safety (Toxicology) Expert at Coloplast A/S 🧪
  • 2004-2007: Clinical Epidemiologist & Researcher at the Research Center for Prevention & Health 🏥
    • Managed 3 National Indicator Project Databases 📈
    • Led Well-being & Work Environment Study at Novo Nordisk 🏢
  • 2007-2012: Senior Consultant & Project Manager in Environmental Health at the Danish National Board of Health 🌿
  • 2013-2018: Associate Professor & Educational Manager at Metropol University College 🎓
    • Taught Scientific Methodology, Risk Assessment, Health Economics, etc. 📚
  • 2018-2024: Project Manager & Researcher at the Danish Building Research Institute (SBi/Build) 🏗️
  • 2024-Present: Associate Professor at the Centre for Health Research, Zeeland University Hospital 🏥🎓

🏆 Achievements, Awards & Honors

  • 2008-2012: Danish National Board of Health Representative in Inter-Ministerial Environmental & Health Groups 🇩🇰🌍
  • 2009-2010: Danish Representative at WHO Ministerial Conference on Environment & Health (Parma, 2010) 🌍🏥
  • 2009: Contributor to WHO International Health Assessment Questionnaire 📄
  • 2009-2012: Health Authority Representative in EU Health & Environment Projects 🇪🇺
    • Collaborated on Transnational Health Economics & Environmental Exposure Studies 📊
    • Presented Research at WHO Parma Conference (2009) 🌍🏆

Publication Top Notes:

Protein kinase C activity in rat skeletal muscle Apparent relation to body weight and muscle growth

CITED:17

Indoor air concentrations of PCB in a contaminated building estate and factors of importance for the variance

CITED:11

The impact of stress and lifestyle factors on short-term sickness absence in a large Danish industrial company

CITED:5

Patterns of Perceived Indoor Environment in Danish Homes

CITED:5

Sundhed og trivsel på arbejdspladsen: inspiration til systematisk og strategisk arbejde med sundhedsfremme i virksomheden

CITED:4

Dr. Xiangbao Zeng | Tough Sensors Awards | Best Researcher Award

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Dr. Xiangbao Zeng | Tough Sensors Awards | Best Researcher Award

Dr. Xiangbao Zeng, Chongqing University, China

Zeng Xiangbao is a distinguished PhD candidate in Instrument Science and Technology at the College of Optoelectronic Engineering, Chongqing University, China, with a focus on ultrasonic and photoelectric sensors. Currently serving as a senior engineer at CETC Chip Technology Co., Ltd., Chongqing, he has contributed significantly to the field of sensor research and development. Over the years, Zeng has led and participated in more than 10 national research projects, including four at the national level. His innovative work spans biosensing, piezoelectric sensing, photoelectric sensing, and intelligent perception, including the development of a distributed laser gas monitoring system and an acoustic resonance ultrasonic wind sensor used in diverse industries such as environmental protection and wind energy. With more than 40 patents and 10 peer-reviewed publications, Zeng is an active collaborator on national programs and works closely with institutions like MIT to advance sensor technologies. His membership in the Acoustical Society of China and the China Instrument and Control Society further reflects his commitment to the advancement of sensor technologies.

Professional Profile:

SCOPUS

ORCID

Suitability for the Best Researcher Award: Dr. Xiangbao Zeng

Dr. Xiangbao Zeng is an exemplary candidate for the Best Researcher Award due to his outstanding contributions to sensor technology, particularly in the fields of acoustic, photoelectric, and biochemical sensors. His innovative research has resulted in significant advancements in sensor applications, evidenced by his numerous academic and industrial achievements.

Academic and Professional Background:

Zeng Xiangbao is a PhD candidate in Instrument Science and Technology at the College of Optoelectronic Engineering, Chongqing University, China 🎓. Currently, he is a Senior Engineer at CETC Chip Technology Co., Ltd, Chongqing 🇨🇳. His research focuses on ultrasonic sensors and photoelectric sensors, and he has published more than 10 peer-reviewed papers 📚.

Research & Innovations:

  • Zeng has completed and is involved in over 10 national projects and has presided over 4 national-level projects 🌍.
  • He has published 41 patents 📝 and 11 research papers in reputable journals 📖.
  • Collaborated with MIT on research regarding disinfection factors 🔬.
  • His research includes acoustic, optical, and biochemical sensors 🌟.

Key Contributions:

  • Developed a distributed laser gas monitoring system for underground pipeline corridors 🚇.
  • Created an acoustic resonance ultrasonic wind sensor widely used in wind turbine generators and the meteorological & environmental protection industries 🌬️🌍.
  • Holds over 40 patents and continues to innovate in biosensing, piezoelectric sensing, and intelligent perception 🤖🔧.

Awards & Recognition:

Zeng’s contributions have earned him recognition within his field, and he is a leading researcher in sensor technologies that play a critical role in environmental and industrial applications 🌱⚡.

Publication top Notes:

Full-Phase Wind Speed and Direction Algorithm for Acoustic Resonance Wind Sensor

Bionic tribo-sensors with sweat and smudge-resistant as electronic skin for personal authentication

Signal Identification Method of Vibration Sensor System for Environmental Condition Monitoring

Study on Closed-Loop Solving Strategy of Piezoelectric Ultrasonic Resonant Wind Sensor

Research on performance improvement of acoustic resonance-based wind sensors by using dual closed-loop control

Study on Preparation and Properties of Sodium Potassium Niobate-Based 1-3 Piezoelectric Composites

Resonance-State Temperature Compensation Method for Ultrasonic Resonance Wind Speed and Direction Sensors

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award

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Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award 

Mr. Muhammad Zunnurain Hussain, Bahria University Lahore Campus, Pakistan

Muhammad Zunnurain Hussain, based in Lahore District, Punjab, Pakistan, is a distinguished Network & Security specialist with extensive experience spanning advisory, client development, management, and technology consulting. He holds a Doctor of Philosophy in IoT Security from Universiti Putra Malaysia, where his research focused on Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning, achieving a commendable CGPA of 3.667. Prior to this, he completed his Master of Sciences in Computer Networking from the University of Bedfordshire, United Kingdom, and a Bachelor of Science in Telecommunication Engineering from the University of Management & Technology, Lahore, Pakistan. Currently serving as an Assistant Professor at Bahria University Lahore Campus, Muhammad oversees various computer science courses and actively contributes to curriculum development and project supervision. He also holds leadership roles as Cluster Head for ADP CS and FYP Coordinator at Bahria University, Lahore, and serves as Director at RGP Global IT, Chief Technology Officer at RedEX Gaming Studio, and as Visiting Faculty at Information Technology University and Ripah International University Lahore.

Professional Profile:

GOOGLE SCHOLAR

 

📚 Education:
  • Ph.D. in IoT Security, Universiti Putra Malaysia (2020-2024)
  • M.Sc. in Computer Networking, University of Bedfordshire, United Kingdom (2012-2014)
  • B.Sc. in Telecommunication Engineering, University of Management & Technology, Lahore, Pakistan (2006-2011)

🔬 Research Experience:

Extensive background in Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning.

🎓 Teaching Experience:

Assistant Professor at Bahria University Lahore Campus (Jul 2019 – Present), delivering lectures on various computer science courses, supervising final year projects, and leading curriculum revision committees.

💼 Professional Experience:

  • Cluster Head – ADP CS & FYP Coordinator, Bahria University Lahore Campus (May 2023 – Present)
  • Director, RGP Global IT (Jul 2023 – Present)
  • Chief Technology Officer, RedEX Gaming Studio (Sep 2023 – Present)
  • Visiting Faculty, Information Technology University (Aug 2022 – Present)
  • Visiting Faculty Member, Ripah International University Lahore (Jan 2019 – Present)

🏆 Awards, Honors, and Grants:

  • Best Paper Award, ACM Singapore (Jul 2021)
  • Second Position, HSSC Final Exam, Garrison Science Degree College for Boys (Jul 2005)

👨‍🏫 Leadership Positions:

  • Cluster Head – ADP CS, Bahria University Lahore Campus
  • Coordinator for FYP-BSIT Programme, Bahria University Lahore Campus
  • Branch Counsellor for Google Developer Student Club

👥 Professional Memberships:

  • Senior Member, IEEE (since 2010)
  • Professional ACM membership (since 2010)
  • Student Member, ICST, British Computer Society, IAENG, IET (since 2010)

Publication top Notes:

Ultrasonically derived WSe2 nanostructure embedded MXene hybrid composites for supercapacitors and hydrogen evolution reactions

CITED: 47

NIR self-powered photodetection and gate tunable rectification behavior in 2D GeSe/MoSe2 heterojunction diode

CITED: 46

Asymmetric electrode incorporated 2D GeSe for self-biased and efficient photodetection

CITED: 42

Efficient cloud data confidentiality for DaaS

CITED: 37

Thickness-dependent monochalcogenide GeSe-based CBRAM for memory and artificial electronic synapses

CITED: 30

 

Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Award

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Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Award 

Prof Dr. Sangook Moon, Mokwon University, South Korea

Dr. Sangook Moon is an Associate Professor in the Department of Electrical & Electronic Engineering at Mokwon University, Korea. Born in 1971, Dr. Moon has established a notable career in electronic engineering with a focus on cryptography and VLSI design. He completed his B.S., M.S., and Ph.D. in Electronic Engineering from Yonsei University, Seoul, Korea. His Ph.D. dissertation, titled “Design and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor,” was supervised by Dr. Yong Surk Lee.Dr. Moon has been with Mokwon University since 2004, progressing from Assistant Professor to Associate Professor. His research projects include the development of next-generation academic intranet frameworks, encryption and physical safety devices for STPM applications, and real-time processing technology for lattice cryptography. He has also worked on projects aimed at improving industrial processes and developing mobile healthcare devices.In addition to his academic roles, Dr. Moon has industry experience as a Senior Engineer at Hynix Semiconductor, where he developed Bluetooth baseband cores. He has also served as a visiting scholar at Virginia Polytechnic Institute and State University. Dr. Moon’s technical skills encompass Verilog, VHDL, Synopsys Design Analyzer, and various other design and development tools.

Professional Profile

🎓 Education

  • Ph.D., Electrical & Electronic Engineering (2002)
    Yonsei University, Seoul, Korea
    Dissertation: Design and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor
    Advisor: Dr. Yong Surk Lee
  • M.S., Electronic Engineering (1997)
    Yonsei University, Seoul, Korea
    Thesis: A Prefetch Architecture with Efficient Branch Prediction for a 64-bit 4-way Superscalar Microprocessor
    Advisor: Dr. Yong Surk Lee
  • B.S., Electronic Engineering (1995)
    Yonsei University, Seoul, Korea
    Report: A Study of a Digital Voice Recorder Based on Adaptive Delta Modulation
    Advisor: Dr. Mignong Park

🛠 Experience

  • Mokwon University (2004-Present)
    Assistant Professor, Associate Professor, Full Professor
    Key Projects:

    • Development of Next-Generation Academic Intranet Framework
    • Design of Encryption, TRNG, and Physical Safety Device for STPM Application
    • Development of Real-Time Processing Technology of Lattice Cryptography
    • Ultra-Low Power Wireless Monitoring-Based Remote Diagnostic Technology for Secondary System Devices
  • Visiting Scholar (2010-2011, 2017-2018)
    Department of ECE, Virginia Polytechnic Institute and State University
  • Senior Engineer (2002-2004)
    Bluetooth Development Team, Hynix Semiconductor
    Key Projects:

    • HBN3031 Bluetooth Baseband Single (with RF integrated) Chip
    • HBN3011 Bluetooth Baseband Controller
  • Research Assistant (1995-2001)
    Department of Electronic & Electrical Engineering, Yonsei University
    Research Topics:

    • Design and Implementation of an Encryption Processor for Elliptic Curve Cryptosystem
    • Research on DES, RSA Cryptographic Algorithms
    • Research on a Floating Point Unit Design
    • Full Custom Design of a 17b*17b Booth’s Multiplier
    • Research on a Prefetch Unit Suitable for SPARC-V9 RISC Processor
    • Study on SRT Divider Algorithm
  • Teaching Assistant (1995-1996)
    Yonsei University
    Courses:

    • Basic VLSI Design
    • Advanced Microelectronics
    • Computer Architecture

💻 Skills

  • Verilog, VHDL
  • Synopsys Design Analyzer
  • Cadence Opus
  • PrimeTime
  • ModelSim

Publications Notes:📄

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Self-reconfiguring Pseudo Random Address Generator for Secure Infrared Communication

Proxy bits for low cost floating-point fused multiply-add unit

Memory saving architecture of number theoretic transform for lattice cryptography

Embedded network camera processor system on a chip for various low-power multimedia applications

Design of a robust normal distribution sampler for ring-learning-with-errors cryptographic scheme