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

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

Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

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Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang , Beijing Information Science and Technology University, China

Prof. Dr. Kang Haiyan is a prominent academic in the field of Information Security, currently serving as a professor in the Department of Information Security at Beijing Information Science and Technology University, China. He earned his Ph.D. in Computer Application Technology from Beijing Institute of Technology in 2005. A senior member of the China Computer Federation and an ACM member, Prof. Kang has received recognition as an outstanding talent in Beijing and serves as an executive member of the Privacy Protection Committee of the China Confidentiality Association. He is the chief of the national first-class major in Information Security and has contributed significantly to the field through over 110 academic publications and six monographs. His research focuses on network security, blockchain technology, and privacy protection, resulting in six provincial and ministerial awards and 25 invention patents. Committed to education, he has been honored with national and local teaching achievement awards and recognized as an Excellent Graduate Thesis Supervisor in Beijing. Additionally, he holds editorial board positions with several academic journals in the field.

Professional Profile:

SCOPUS

Prof. Dr. Kang Haiyan for the Best Researcher Award

Prof. Dr. Kang Haiyan is a remarkable candidate for the Best Researcher Award due to his extensive contributions to the fields of network security, blockchain, and privacy protection, alongside his dedication to academic excellence and leadership in education.

Education

  • Ph.D. in Computer Application Technology
    Beijing Institute of Technology, China (2005) 🎓

Work Experience

  • Professor
    Department of Information Security, Beijing Information Science and Technology University, Beijing, China
  • Chief
    National First-Class Major (Information Security) and Electronic Information (Network and Information Security) 📚
  • Editorial Board Member
    • Journal of Information Security Research
    • Cyberspace Security
    • Journal of Cyberspace Security Science
    • Journal of Beijing University of Information Science and Technology

Achievements

  • Research Awards: 6 provincial and ministerial level awards 🏆
  • Invention Patents: 25 patents for innovative contributions 💡
  • Publications: Over 110 academic papers and 6 monographs 📖

Awards and Honors

  • National Teaching Achievements: 2 Third Prizes 🥉
  • Beijing Teaching Achievements: 1 Second Prize 🥈
  • Title: Excellent Graduate Thesis Supervisor in Beijing 🌟

Publication Top Notes:

Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network

Community overlap discovery algorithm based on industrial big data

Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy

Enhancing data security in massive data sets using blockchain and federated learning: a loosely coupled approach

Research on Federated Sharing Methods for Massive Data in Blockchain

Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

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Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

Assoc. Prof. Dr. Jing Huang, Beijing university of technology, China

Jing Huang is an Associate Professor at the Faculty of Information Technology at Beijing University of Technology, where he has been a faculty member since July 2007. He holds a strong research focus on blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing. Dr. Huang has received several accolades for his contributions to education and research, including the Students’ Favourite Teacher Award at Beijing University of Technology in July 2021 and the Wu Wenjun AI Science & Technology Award (Second Prize) from the Chinese Association for Artificial Intelligence in January 2021. Additionally, he has been recognized as an Annual Excellent Member of CAAI in the same year. Dr. Huang is actively involved in professional activities, serving as a supervisor and member of the Beijing Association for Artificial Intelligence (BAAI) since 2018 and as Associate Secretary-General and Standing Committee member of the Committee of Education and Popular Science in CAAI since 2020. He is also a member of the evaluation panel for the Beijing Nova Program, contributing to the advancement of artificial intelligence and technology in China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jing Huang

Profile: Dr. Jing Huang is an Associate Professor at the Faculty of Information Technology, Beijing University of Technology, China. With a robust academic background and over 16 years of experience in the field, Dr. Huang has established herself as a leading researcher in areas such as blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing.

Education 🎓

  • Ph.D. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • M.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • B.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)

Work Experience 💼

  • Associate Professor
    Faculty of Information Technology, Beijing University of Technology, Beijing, China
    Duration: July 2007 – Present

Achievements 🌟

  • Students’ Favourite Teacher Award
    Beijing University of Technology, July 2021
  • Wu Wenjun AI Science & Technology Award (Second Prize)
    Chinese Association for Artificial Intelligence, January 2021
  • Annual Excellent Member for CAAI
    Chinese Association for Artificial Intelligence (CAAI), January 2021

Professional Activities 🤝

  • Supervisor and Member
    Beijing Association for Artificial Intelligence (BAAI)
    Duration: 2018 – Present
  • Associate Secretary-General and Standing Committee Member
    Committee of Education and Popular Science in CAAI
    Duration: 2020 – Present
  • Evaluation Panel Member
    Beijing Nova Program

Publication Top Notes

An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning

Smart contracts vulnerability detection model based on adversarial multi-task learning

TOCIM: An improved operant conditioning model with task-oriented curiosity

A Brain-Inspired Model of Hippocampal Spatial Cognition Based on a Memory-Replay Mechanism

Deep Reinforcement Learning Based on Social Spatial–Temporal Graph Convolution Network for Crowd Navigation

Dr. Bahar Aydın Can | Security Awards | Women Researcher Award

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Dr. Bahar Aydın Can | Security Awards | Women Researcher Award 

Dr. Bahar Aydın Can, Izmit Vocational School, Turkey

Bahar Aydın Can is a Lecturer at Kocaeli University, located in Izmit, Turkey, where she has been teaching since 2005. She holds a Doctoral Degree in the socio-economic impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone, which she completed in 2018 under the supervision of Dr. Sait Engindeniz. Her academic journey also includes a Master’s Degree in the production and marketing of mandarins, completed in 2004, and a Bachelor’s Degree in 1998. Throughout her career, Bahar has contributed to several scientific research projects, focusing on agricultural economics, livestock support, milk marketing efficiency, and environmental impact in the agricultural-food sector. In addition to her teaching role, she has held several administrative positions, including Co-head of the Department of Plant and Animal Production and Vice Director at Kocaeli University’s Arslanbey Vocational School. Bahar is also a dedicated project leader and thesis advisor, mentoring students and researchers in fields related to agriculture and sustainability. Her academic work, along with her leadership in various projects, has made her a prominent figure in agricultural research in Turkey.

Professional Profile:

SCOPUS

Suitability of Bahar Aydın Can for the Research for Women Researcher Award

Bahar Aydın Can is highly suitable for the Research for Women Researcher Award based on her extensive academic background, research involvement, leadership roles, and contributions to the fields of agricultural economics and sustainable agriculture.

Education:

  1. Doctoral Degree (March 26, 2018)
    • Thesis: A Study on the Socio-economic Impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone
    • Thesis Advisor: Dr. Sait Engindeniz
  2. Master’s Degree (June 14, 2004)
    • Thesis: A Study on Mandarin Production and Marketing in Selected Enterprises in Seferihisar District, Izmir
    • Thesis Advisor: Murad Yercan
  3. Bachelor’s Degree (June 15, 1998)

 Professional Experience:

  • Lecturer at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production, Medical and Aromatic Plants Program (since June 10, 2005)

Positions in Projects:

  1. Cooperative Partner Analysis of Utilization of Livestock Support and Milk Marketing Efficiency in Dairy Cattle Enterprises
    • Researcher: Bahar Aydın Can
    • Collaborators: Sait Engindeniz, Onur Can
    • Project Duration: March 7, 2021 – April 10, 2023
    • Supported by: Higher Education Institutions
  2. Environmental Emission Level Determinants of Firms in the Agricultural-Food Sector
    • Researcher: Bahar Aydın Can
    • Collaborators: İlhan Çam, Ümmühan Mutlu
    • Project Duration: December 8, 2024 – In Progress
    • Supported by: Higher Education Institutions
  3. Determining the Harvest Maturity and Storage Properties of Miski Pepino Solanum muricatum Ait Cultivar Grown in Kocaeli Conditions
    • Researcher: Rezzan Kasım
    • Collaborators: Mehmet Ufuk Kasım, Bahar Aydın Can, Mehmet Ünlü, Cengiz Ay
    • Project Duration: January 1, 2006 – January 1, 2008
    • Supported by: Higher Education Institutions

Administrative Positions:

  1. Co-head of Department at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production (2021 – present)
  2. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2013-2015)
  3. Vice Director at Kocaeli University, Arslanbey Vocational School (2015-2019)
  4. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2005-2013)

Publication top Notes:

Turkish Consumers’ Perceptions of Organic Milk and the Factors Affecting Consumption: The Case of Kocaeli, Türkiye

A research on the opinions and suggestions of the youth who study agriculture in turkey on the young farmer grant project

Determining the opinions and expectations of the local farmers about the potential impacts of kocaeli kandira food specialized organized industrial zone, Turkey

A research on the characteristics and activities of producers in organic markets: A case study of Izmit and Sişli district

The Effect of Bat Guano Applied to the Soil in Different Forms and Doses on Some Plant Nutrient Contents