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. 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

Mrs. Özlem ŞEKER | Network Award | Best Researcher Award

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Mrs. Özlem ŞEKER | Network Award | Best Researcher Award 

Mrs. Özlem ŞEKER, Bitlis Eren University Computer Engineering Department, Turkey

Özlem Eker is a dedicated Research Assistant at Bitlis Eren University, Faculty of Engineering and Architecture, Department of Computer Engineering. She holds a Ph.D. in Computer Engineering from Dokuz Eylül University, where she also completed her Master’s degree. Her doctoral thesis focused on the “Application of Lightweight Cryptography Techniques in Internet of Things Scenarios,” supervised by Gökhan Dalkılıç. Özlem earned her Bachelor’s degree in Computer Engineering from Muğla Sıtkı Koçman University. Her research interests include lightweight cryptography, IoT security, and computer hardware. She has published notable works, including an article on physical tracking of ESP32 IoT devices and a mutual authentication scheme for IoT applications. Özlem’s contributions to the field are recognized through her publications in respected journals like the Journal of Millimeterwave Communication, Optimization and Modelling, and Sensors. Her academic journey reflects her commitment to advancing secure and efficient communication in the Internet of Things.

Professional Profile:

 

Education:

Ph.D. in Computer Engineering

  • Institution: Dokuz Eylül University, Graduate School of Natural and Applied Sciences
  • Year: 2018
  • Language: English
  • Thesis Title: “Application of Lightweight Cryptography Techniques in Internet of Things Scenarios”
  • Thesis Advisor: Gökhan Dalkılıç

Master’s in Computer Engineering

  • Institution: Dokuz Eylül University, Graduate School of Natural and Applied Sciences
  • Year: 2016 – 18 July 2018
  • Language: English
  • Thesis Title: “Security Enhanced Lightweight Messaging Protocol”
  • Thesis Advisor: Gökhan Dalkılıç

Bachelor’s in Computer Engineering

  • Institution: Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Computer Engineering
  • Year: 2009 – 12 June 2015
  • Language: English

Academic Positions:

Research Assistant

  • Institution: Bitlis Eren University, Faculty of Engineering and Architecture, Department of Computer Engineering
  • Start Date: 03 July 2023
  • Department: Computer Hardware Division

Research Assistant

  • Institution: Dokuz Eylül University, Faculty of Engineering, Department of Computer Engineering
  • Start Date: 22 May 2016
  • End Date: 26 June 2023
  • Department: Computer Hardware Division

Publication top Notes:

MARAS: Mutual Authentication and Role-Based Authorization Scheme for Lightweight Internet of Things Applications

Implementation and Performance Analysis of a Multi-Protocol Gateway

A new approach: Semisupervised ordinal classification

Blockchain Platform for Internet of Things