Mr. Abhijeet Thakare | Network Security | Best Researcher Award

Posted on by ScienceFather

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. Jianhong zhang | Data Privacy Award | Best Researcher Award

Posted on by ScienceFather

Prof. Jianhong zhang | Data Privacy Award | Best Researcher Award 

Prof. Jianhong zhang, North China University of Technology, China 

Zhang Jianhong, is a prominent Professor in the School of Information Technology with a robust academic background and extensive research interests, including Public Key Encryption, Big Data Security, Network Security, and Cryptography. He earned his B.Sc. in Mathematics from Hebei Normal University in 1998, followed by an M.Sc. in Computer Software and Theory from Guizhou University in 2001, where he studied under Professor Li Xiang. Dr. Zhang completed his Ph.D. in Communication and Information Engineering at Xi’an Electronic Science and Technology University in 2004, guided by Professor Wang Yumin. Dr. Zhang’s professional career began as a lecturer at North Industrial University, where he progressively advanced to the role of Professor and Head of Discipline in the School of Information. He has held various leadership positions, including Vice Dean for Research and Deputy Director of the School of Science. Throughout his career, Dr. Zhang has received several honors, including recognition as a New Century Excellent Talent by the Ministry of Education and multiple accolades from Beijing for his contributions to science and technology. He is also an accomplished author, having published a book titled “Modern Cryptography: Foundations and Applications,” and holds five patents in the fields of cryptography and data security, showcasing his commitment to advancing knowledge and technology in his areas of expertise.

Professional Profile:

Suitability Summary for Best Researcher Award: Zhang Jianhong, Ph.D.

Overview: Dr. Zhang Jianhong, a Professor at the School of Information Technology, has an impressive academic and professional background that makes him a strong contender for the Best Researcher Award. His career is characterized by significant contributions to areas such as Public Key Encryption, Big Data Security, Cryptography, and Cloud Security. These fields are crucial to advancing digital security and privacy, especially in the modern, interconnected world.

Education:

  • B.Sc. in Mathematics
    Hebei Normal University
    September 1994 – July 1998
  • M.Sc. in Computer Software and Theory
    Guizhou University
    September 1998 – July 2001

    • Advisor: Professor Li Xiang
  • Ph.D. in Communication and Information Engineering
    Xi’an Electronic Science and Technology University
    August 2001 – July 2004

    • Advisor: Professor Wang Yumin
  • Postdoctoral Research
    Institute of Computer Science and Technology, Peking University
    October 2005 – December 2007

    • Advisor: Zou Wei

Professional Experience:

  • Lecturer
    School of Science, North Industrial University
    July 2004 – July 2006
  • Associate Professor
    School of Science, North Industrial University
    August 2006 – July 2011
  • Vice Dean for Research
    School of Science, North Industrial University
    June 2011 – October 2014
  • Deputy Director and Associate Professor
    School of Science, North Industrial University
    November 2014 – November 2017
  • Professor and Head of Discipline
    School of Information, North Industrial University
    December 2017 – Present

Publication top Notes:

On the Security of Lightweight and Escrow-Free Certificate-Based Data Aggregation for Smart Grid

Efficient Pairing-Free Certificateless Signcryption Scheme for Secure Data Transmission in IoMT

On the Security of Privacy-enhanced Authentication Protocol for Federated Learning in VANETs

PFDAM: Privacy-Preserving Fine-Grained Data Aggregation Scheme Supporting Multifunctionality in Smart Grid

CKAA: Certificateless key-agreement authentication scheme in digital twin telemedicine environment