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

Assoc. Prof. Dr. Katarína Draganova | Security Systems | Best Researcher Award

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Assoc. Prof. Dr. Katarína Draganova | Security Systems | Best Researcher Award 

Assoc. Prof. Dr. Katarína Draganova, Technical University of Kosice, Slovakia

Assoc. Prof. Ing. Katarína Draganová, PhD., ING-PAED IGIP, is a distinguished academic and researcher in the field of electronics and aviation technology. She is currently an Associate Professor at the Technical University of Košice, Faculty of Aeronautics, where she has been actively engaged in research and teaching. From 2021 to 2023, she served as the Head of the Department of Aviation Technical Studies, contributing significantly to the development of academic programs and research initiatives. Her expertise lies in applied sensorics, aviation and industrial electronic systems, and air traffic management. She earned her Ph.D. in Electronics from the Technical University of Košice in 2012 and has since been involved in various research and development projects, publishing extensively in her field. In addition to her academic career, she holds an International Engineering Educator (ING-PAED IGIP) certification and has been instrumental in mentoring students at bachelor’s, master’s, and doctoral levels. Fluent in Slovak, English (FCE-certified), and German, she continues to make significant contributions to engineering education and aviation technology advancements.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Assoc. Prof. Ing. Katarína Draganová, PhD., is a highly accomplished researcher and educator in aviation electronics, air traffic management, and applied sensor technology. Her extensive contributions to research, education, and academic leadership make her a strong candidate for the Best Researcher Award.

🎓 Education

  • 2018 – Associate Professor (Assoc. Prof.) in Electronics, Technical University of Košice
  • 2013 – 2014 – International Engineering Educator (ING-PAED IGIP), Technical University of Košice
  • 2009 – 2012 – Ph.D. in Aviation and Industrial Electronic Systems, Faculty of Aeronautics, Technical University of Košice
  • 2004 – 2009 – Engineer (Ing.) in Air Traffic Management, Faculty of Aeronautics, Technical University of Košice
  • 1996 – 2004 – Grammar School, P.O. Hviezdoslav in Dolný Kubín
  • 1992 – 1996 – Elementary School, Vyšný Kubín

💼 Work Experience

  • 2018 – Present – Associate Professor, Technical University of Košice, Faculty of Aeronautics
    • Research and teaching in bachelor’s, engineering, and doctoral programs
    • Supervising bachelor’s, diploma, and dissertation theses
    • Research in applied sensorics and aviation technology
  • 2021 – 2023 – Head of the Department of Aviation Technical Studies
    • Managed academic and research activities within the department
  • 2017 – 2018 – Assistant Professor, Technical University of Košice
    • Led lectures, exercises, and research projects in aviation and electronics
  • 2012 – 2017 – Senior Scientist, Technical University of Košice
    • Conducted research and development in aviation sensor technology
    • Co-authored scientific publications and mentored students

🏆 Achievements, Awards & Honors

  • Recognized as an Expert in Aviation Electronics ✈️
  • Published Numerous Research Papers in Sensorics and Aviation Technology 📜
  • Contributed to National and International Research Projects 🌍
  • FCE (Cambridge First Certificate in English) Certified 📖
  • Fluent in German 🇩🇪

Publication Top Notes:

From Košice to the Orbit. A Successful Story of Applied Magnetism

Mechanical Design and Testing of Mobile Monitoring Units for Security Systems

Implementation of Magnetic Markers for the Diagnostics of Conveyor Belt Transportation Systems

Stray Magnetic Field Measurement Method of Magnetic Hysteresis Curve of Open-Ended Sensor and Actuator Cores

Non-Destructive Testing of Pipe Conveyor Belts Using Glass-Coated Magnetic Microwires

Influence of Disinfectants on Airport Conveyor Belts