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. 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