Prof. Dr. Heung Youl Youm | Zero Trust | Best Researcher Award

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Prof. Dr. Heung Youl Youm | Zero Trust | Best Researcher Award 

Prof. Dr. Heung Youl Youm, Soonchunhyang University, South Korea

Dr. Heung Youl Youm is a Professor Emeritus at Soonchunhyang University, Korea, and a leading expert in cybersecurity and privacy protection. Since September 2024, he has served as the Chairman of the Korea Chief Privacy Officer Council (KCPO) and was previously a Commissioner for the Personal Information Protection Commission in Korea (2020–2023). Internationally, he is a Vice-Chair of ITU-T TSAG for the 2025–2028 study period and was Chair of ITU-T SG17 on security (2017–2024), contributing significantly to ITU-T standardization since 2003. His career began at the Electronics and Telecommunications Research Institute (ETRI) in 1982, where he developed high-speed transmission systems. Transitioning to academia in 1990, he became a professor in the Department of Information Security Engineering at Soonchunhyang University and, in 2024, the Director of the SCH Cybersecurity Research Centre. He has held key advisory roles for the Office of National Security, the Ministry of Interior and Safety, and other Korean government agencies, contributing to national cybersecurity policies. His leadership extends to the ISMS/PIMS certification committee since 2007 and the information security committee for the PyeongChang 2018 Olympic Games. A graduate of Hanyang University, he holds a Bachelor’s (1981), Master’s (1983), and Ph.D. (1990) in Electronics Engineering. Recognized for his outstanding contributions, he has received numerous prestigious awards, including the Order of Service Merit (Red Stripes) in 2024, the Service Merit Medal in 2020, and the Lifetime Achievement Award from AsiaJCIS in 2019.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Heung Youl Youm

Dr. Heung Youl Youm is an exceptionally qualified candidate for the Best Researcher Award due to his outstanding contributions in cybersecurity, information privacy, and international standardization. His multi-decade impact on research, policy, and international collaborations makes him a strong contender for this prestigious recognition.

🎓 Education

  • Bachelor’s Degree (1981) – Electronics Engineering, Hanyang University, Korea
  • Master’s Degree (1983) – Electronics Engineering, Hanyang University, Korea
  • Ph.D. Degree (1990) – Electronics Engineering, Hanyang University, Korea

💼 Work Experience

  • Professor (Emeritus), Soonchunhyang University, Korea (March 2024 – Present)
  • Chairman, Korea Chief Privacy Officer Council (KCPO) (Since September 2024)
  • Commissioner, Personal Information Protection Commission, Korea (August 2020 – August 2023)
  • Vice-Chair, ITU-T TSAG (2025–2028)
  • Chair, ITU-T SG17 (Security) (2017–2024)
  • Senior Member, Technical Staff, ETRI (Electronics and Telecommunications Research Institute) (1982–1990)
  • Professor, Department of Information Security Engineering, Soonchunhyang University, Korea (1990–2024)
  • Director, SCH Cybersecurity Research Centre, Soonchunhyang University (Present)
  • Project Manager of Information Security, MIC/IITA (October 2006 – February 2009)
  • Policy Advisory Committee Member, Office of National Security, Korean Presidential Office (October 2019 – May 2022)
  • Policy Advisory Committee Member, Ministry of Interior and Safety (2020)
  • Board Director, Korea Information Security Agency (May 2020 – October 2023)
  • Chairman, ISMS/PIMS Certification Committee, Korea (Since 2007)
  • Chairman, Information Security Committee, PyeongChang 2018 Olympic & Paralympic Winter Games (2015–2018)

🏆 Awards and Honors

  • 🇰🇷 Order of Service Merit (Red Stripes) – Government of Korea (February 2024)
  • 🎖️ Service Merit Medal – President of Korea (April 2020)
  • 🏅 President Award – Korean President (October 2014)
  • 🏆 Lifetime Achievement Award – AsiaJCIS19 (August 2019)
  • 📜 KCC (Korea Communications Commission) Awards – (December 2009, December 2015)
  • 🏅 Ministry of Science, ICT and Future Planning Awards – (December 2015, December 2019)
  • 🔐 Korea Institute of Information Security and Cryptology Award – (December 2015)

Publication Top Notes:

A Proposal for a Zero-Trust-Based Multi-Level Security Model and Its Security Controls

Proposal of a Service Model for Blockchain-Based Security Tokens

Security Requirements for Fully Automated AI Systems to Exercise and Ensure the Rights of Data Subjects

Dr. Rui Meng | Security Assessment Awards | Best Researcher Award

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Dr. Rui Meng | Security Assessment Awards | Best Researcher Award 

Dr. Rui Meng, Beijing University of Posts and Telecommunications, China

Dr. Meng Rui is a dedicated researcher in the fields of sensor authentication, wireless security, and physical layer authentication. He earned his Bachelor’s degree in Information Engineering from Beijing University of Posts and Telecommunications from 2014 to 2018, followed by a Ph.D. in Information and Communication Engineering from the same institution, which he completed in 2024. Currently, Dr. Meng serves as a Postdoctoral Researcher at the School of Cyberspace Security at Beijing University of Posts and Telecommunications. He has published nearly 20 papers in prestigious international journals and conferences, including Sensors, IEEE Transactions on Industrial Informatics, and the IEEE Internet of Things Journal. Dr. Meng has also contributed to five national-level projects, such as the National Key Research and Development Program and the National Natural Science Foundation of China, showcasing his commitment to advancing knowledge in his field.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Suitability of Dr. Meng Rui for the Research for Best Researcher Award

Dr. Meng Rui is an exemplary candidate for the Research for Best Researcher Award due to his significant contributions to the fields of Sensor Authentication, Wireless Security, and Physical Layer Authentication. Below is a detailed summary of his qualifications and achievements that support his suitability for this prestigious recognition.

🎓 Education Background

  • Bachelor’s Degree in Information Engineering (2014–2018)
    Beijing University of Posts and Telecommunications 🎓
  • Ph.D. in Information and Communication Engineering (2018–2024)
    Beijing University of Posts and Telecommunications 🎓

💼 Work Experience

  • Postdoctoral Researcher (2024–Present)
    School of Cyberspace Security, Beijing University of Posts and Telecommunications 🧑‍🔬

🏆 Achievements

  • Published nearly 20 international journal and conference papers in renowned publications, including:
    • Sensors
    • IEEE Transactions on Industrial Informatics (TII)
    • IEEE Internet of Things Journal (IoTJ)
    • IEEE Transactions on Cognitive Communications and Networking (TCCN)
    • IEEE GlobeCom 📚
  • Key contributions include innovations in Physical Layer Authentication, Sensor Authentication, and Wireless Security for Industrial IoT and 6G Systems.
  • Author of impactful works such as:
    • Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenarios 🌌
    • Physical-layer authentication using hierarchical variational autoencoder 🌐
    • Multiuser physical-layer authentication via latent perturbed neural networks 🤖
  • Active participant in five national-level projects, including:
    • The National Key Research and Development Program 🔑
    • The National Natural Science Foundation of China 🌏

✨ Awards and Honors

  • Recognition for contributions to secure wireless communications in next-gen technologies. 🏅
  • Active collaborator in cutting-edge cybersecurity research at the national level. 🌟

Publication Top Notes:

A survey of Machine Learning-based Physical-Layer Authentication in wireless communications

Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenario

Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization

Multiobservation-Multichannel-Attribute-Based Multiuser Authentication for Industrial Wireless Edge Networks

Multidimensional Fingerprints-Based Multiattacker Detection for 6G Systems

Task-Oriented and Semantic-Aware Heterogeneous Networks for Artificial Intelligence of Things: Performance Analysis and Optimization

Prof. Dr. Juqing Liu | Hiding Awards | Best Researcher Award

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Prof. Dr. Juqing Liu | Hiding Awards | Best Researcher Award 

Prof. Dr. Juqing Liu, Nanjing tech university, China

Liu Juqing is a Professor at the School of Flexible Electronics (Future Technology) and the Institute of Advanced Materials at Nanjing University of Technology. He holds a Ph.D. in Information Materials from Nanjing University of Posts and Telecommunications and has extensive experience in material physics and chemistry, with postdoctoral training at Nanyang Technological University, Singapore. Liu’s research focuses on advanced materials and flexible electronics, particularly in the development of memory devices and neuromorphic systems. He has published extensively in high-impact journals like Nature Communications and Advanced Science, with his work contributing to the development of innovative materials for electronic and memory devices. In addition to his research, Liu has been granted several patents in China for his work on polymer memory devices and electrostorage technologies. He has received multiple academic awards, including the Provincial First Prize from the Ministry of Education, and leads national projects funded by the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award and conclusion

Liu Juqing is highly suitable for the Best Researcher Award due to his extensive academic background, notable research achievements, and significant contributions to the field of flexible electronics and advanced materials. His qualifications include a PhD in Information Materials from Nanjing University of Posts and Telecommunications, along with postdoctoral research experience at Nanyang Technological University, Singapore. He has been a Professor at the School of Flexible Electronics at Nanjing University of Technology since 2014.

🎓 Education

  • PhD in Information Materials, Nanjing University of Posts and Telecommunications (2007-2011)
  • Master’s in Material Physics and Chemistry, Shantou University (2004-2007)
  • Bachelor’s in Physics, Anhui Normal University (2000-2004)

💼 Postdoctoral Experience

  • Nanyang Technological University, Singapore (2011-2013)

📚 Academic & Research Experience

  • Professor at Nanjing University of Technology (2014-present)
  • Associate Professor at Nanjing University of Technology (2013-2014)

🔬 Research Focus & Achievements

Liu Juqing’s expertise lies in flexible electronics and advanced materials, focusing on electroconductive wire tracking, photoconductive-assisted resistive switching memory, and neuromorphic systems. He has co-authored influential papers in journals like Nature Communications and Advanced Science. His research has led to several patents in the field of polymer-based memory devices, contributing significantly to material science innovations.

🏅 Awards & Honors

Liu’s work has earned recognition in the form of prestigious awards, including first prizes for “Organic Information Storage and Security” from the Ministry of Education of China in 2017.

🔧 Recent Patents

  • “Polymer Gate Devices and Their Manufacturing Method” (2024)
  • “Non-volatile Resistive Switching Memory” (2023)
  • “Two-Dimensional Molecular Crystal-Graphene Oxide Heterojunction” (2023)

🚀 Liu Juqing continues to push the boundaries of technology and materials science with a focus on integrating innovative solutions into future technologies.

Publication top Notes:

Stabilizing Carbon Dot Phosphorescence in Aqueous Solutions by Hydrogen-Bonded Networks for Dual-Wavelength-Driven Information Encryption

Robust Organic–Inorganic Heterosynapses with High PPF and Broad Photoperception

Bio-Inspired Ion-Conducting Foam Elastomer for Human Motion Monitoring

A multicolor tunable fiber with core–multishell structure by electroluminescence-thermochromic mixing

Simultaneous light and thermal emission of waterproof core-multishell fibers for woven textile electronics

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award

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Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award 

Prof. Tian-Fu Lee, Tzu Chi University, Taiwan

Dr. Tian-Fu Lee is a professor in the Department of Medical Informatics and the Institute of Medical Sciences at Tzu Chi University, Taiwan. He earned his B.S. degree in Applied Mathematics from National Chung Hsing University, Taiwan, followed by an M.S. degree in Computer Science and Information Engineering from National Chung Cheng University, Taiwan. He completed his Ph.D. in Computer Science and Information Engineering at National Cheng Kung University, Taiwan. Dr. Lee’s research interests span cryptography, network security, medical information security, wireless networks, Wireless Sensor Networks (WSN), the Internet of Things (IoT), the Internet of Medical Things (IoMT), and the Internet of Drones (IoD), where he contributes extensively to advancements in secure and efficient information systems for medical and technological applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Tian-Fu Lee is a highly qualified candidate for the Best Researcher Award, given his extensive academic background, contributions, and impactful research in fields related to cryptography, network security, medical information security, wireless sensor networks (WSN), the Internet of Things (IoT), and the Internet of Medical Things (IoMT). His academic trajectory—from a Bachelor’s in Applied Mathematics through a Master’s and Ph.D. in Computer Science and Information Engineering—equips him with a strong foundation in both theoretical and applied research. Currently, as a professor at Tzu Chi University in Taiwan, he has focused on solving crucial problems in medical informatics, cybersecurity, and privacy, particularly within healthcare systems.

Education

  • Bachelor of Science (B.S.) in Applied Mathematics
    • Institution: National Chung Hsing University, Taiwan
  • Master of Science (M.S.) in Computer Science and Information Engineering
    • Institution: National Chung Cheng University, Taiwan
  • Ph.D. in Computer Science and Information Engineering
    • Institution: National Cheng Kung University, Taiwan

Work Experience

  • Position: Professor
    • Department: Department of Medical Informatics and Institute of Medical Sciences
    • Institution: Tzu Chi University, Taiwan

Research Interests

  • Cryptography
  • Network Security
  • Medical Information Security
  • Wireless Networks
  • Wireless Sensor Networks (WSN)
  • Internet of Things (IoT)
  • Internet of Medical Things (IoMT)
  • Internet of Drones (IoD)

Publication top Notes:

Compliance with HIPAA and GDPR in Certificateless-Based Authenticated Key Agreement Using Extended Chaotic Maps

Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment

Extended Chaotic-Map-Based User Authentication and Key Agreement for HIPAA Privacy/Security Regulations

Blockchain-Based Healthcare Information Preservation Using Extended Chaotic Maps for HIPAA Privacy/Security Regulations

Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award

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Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award 

Dr. Sergei Badulin, P.P.Shirshov Institute of Oceanology, Russia

Sergei I. Badulin, born on May 7, 1959, in Murmansk, USSR, is a prominent Russian scientist specializing in the theoretical and experimental study of oceanic wave dynamics. He earned his M.Sc. in Aerophysics and Space Research from the Moscow Institute of Physics and Technology in 1982 and later completed his Ph.D. in Physics and Mathematics in 1985. Dr. Badulin’s doctoral research focused on the transformation of internal waves in the hydrological fields of the ocean. In 2009, he earned his D.Sc. with a thesis on the dynamics of surface and internal gravity waves, aiming at sea wave monitoring and forecasting.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Paper Award

Sergei I. Badulin appears highly suitable for the Best Paper Award, based on his extensive academic background, research contributions, and high-impact publications in the field of ocean wave dynamics and remote sensing. His long-standing career at prestigious institutes, such as the P.P. Shirshov Institute of Oceanology and Skolkovo Institute of Science and Technology, further emphasizes his influence in the scientific community.

Education:

  • 1976–1982: Moscow Institute of Physics and Technology (MIPT), Moscow, USSR
    • Degree: MSc in Aerophysics and Space Research, with honors (specialization: aero- and thermodynamics).
  • 1983–1985: Moscow Institute of Physics and Technology, Moscow, USSR
    • Degree: PhD in Physics and Mathematics.
    • PhD Thesis: Transformation of internal waves in inhomogeneities of hydrological fields of the ocean.
  • 2009: D.Sc. Thesis
    • Thesis: Dynamics of surface and internal gravity waves for the problem of monitoring and forecasting sea waves.
  • 1983–1985: Supplementary studies in French at the State Linguistic Extramural Courses.

Work Experience:

  • 2019–Present: Senior Research Scientist, Center for Advanced Studies, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • 2013–Present: Head of the Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 2009–2014: Leading Researcher, P.N. Lebedev Physical Institute, Russian Academy of Sciences.
  • 2012–2013: Leading Researcher, Russian State Hydrometeorological University, St. Petersburg, Russia.
  • 2010–2018: Leading Researcher, Novosibirsk State University, Novosibirsk, Russia.
  • 2000–2012: Leading Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1989–2000: Researcher and Senior Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1985–1989: Junior Researcher and Researcher, Atlantic Branch of P.P. Shirshov Institute of Oceanology, USSR, Kaliningrad, USSR.

International Experience:

  • 1998 (Sep–Nov): Visiting Scientist, Ship Research Institute, Ministry of Transport of Japan.
  • 1996 (Apr–Nov): Visiting Scientist, Laboratoire IOA, CNRS, Marseille, France.
  • 1993 (Jun–Feb): Postdoctoral Fellow, Centre International des Etudiants et Stagiaires, Laboratoire de Luminy, Marseille, France.

Publication top Notes:

CITED: 153
CITED: 139
CITED: 136
CITED: 68
CITED: 61
CITED: 61

Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

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Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

  • MSc in Microbiology
    Kumoh National Institute of Technology, South Korea
    📅 February 2023

    • Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
    • Advisor: Professor Wansu Lim
  • BSc in Mathematics
    Delta State University, Abraka, Nigeria
    📅 October 2019

    • Second Class Upper Division
    • Thesis: Counting Techniques in Discrete Mathematics
    • Advisor: Dr. J.S. Apanapudor

🔬 Research Interests

  • Data Generation
  • Emotion Recognition
  • Machine Learning

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

  • Worked on lab projects under the supervision of Professor Wansu Lim
  • Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊
  • Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️
  • Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸
  • Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄
  • Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗
  • Applied data fusion techniques for face and speech emotion recognition 🤖
  • Generated artificial data for ultra-capacitor projects 🔋

🏅 Honors and Awards

  • Christ High School Scholarships
    📅 September 2012

    • Part-time scholarship for secondary school education 🎓
  • Korean Government Scholarship Award
    📅 2021 – 2023

    • Full funding for Master’s program in South Korea 🇰🇷

Publication top Notes:

 

Synthetic Data Generation Using GAN for RUL Prediction of Supercapacitors

Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG