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. Sungho Hwang | Computer Network Awards | Best Researcher Award

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Prof. Dr. Sungho Hwang | Computer Network Awards | Best Researcher Award

Prof. Dr. Sungho Hwang, Kangwon National University, South Korea

Dr. Sungho Hwang, is a Professor in the Department of Electronics, Information, and Communication Engineering at Kangwon National University in South Korea. He earned his Ph.D. in Communication Engineering from Sungkyunkwan University in August 1996, following a Master’s degree in the same field in February 1993, and a Bachelor’s degree in Electronic Engineering in February 1991. Dr. Hwang began his academic career as an Adjunct Instructor at Sungkyunkwan University in 1997 before joining Kangwon National University as a Professor later that year, where he has remained ever since. His expertise lies in the field of Communication Networks, and he is involved in both research and lecturing. Dr. Hwang is committed to advancing knowledge in Information and Communication Technology and contributing to the academic community through his extensive experience and research.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award:

Dr. Sungho Hwang is an accomplished researcher and professor in the field of Information and Communication Engineering, with a focus on communication networks. His educational background, holding a Ph.D. in Communication Engineering from Sungkyunkwan University, alongside his extensive career at Kangwon National University since 1997, highlights his commitment to advancing his field.

Education:

  1. Ph.D. in Communication Engineering
    • School: Sungkyunkwan University
    • Graduation Date: August 1996
  2. M.S. in Communication Engineering
    • School: Sungkyunkwan University
    • Graduation Date: February 1993
  3. B.S. in Electronic Engineering
    • School: Sungkyunkwan University
    • Graduation Date: February 1991

Work Experience:

  1. Adjunct Instructor
    • Workplace: Sungkyunkwan University
    • Employment Period: March 1997 – August 1997
    • Main Responsibilities: Lecturing
  2. Professor
    • Workplace: Kangwon National University
    • Employment Period: August 1997 – Present
    • Main Responsibilities: Research and Lecturing in the Department of Electronics, Information and Communication Engineering

Publication top Notes:

Digital Twin-Based Hydrogen Refueling Station (HRS) Safety Model: CNN-Based Decision-Making and 3D Simulation

3D HMI of Hydrogen Refueling Station Using Digital Twin

Developing an internet of things system for hydrogen leak detection at hydrogen refueling stations integrating LoRa and global positioning system

Inflection of Beating Transformation by Routing Point on Vitreous Chamber

Implementation of a Hydrogen Leakage Simulator with HyRAM+