Prof. Dr. Xingguo Li | Network Security | Best Researcher Award

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Prof. Dr. Xingguo Li | Network Security | Best Researcher Award 

Prof. Dr. Xingguo Li, Sichuan University, China

Xingguo Li is a Senior Engineer at Sichuan University, where he is affiliated with the College of Computer Science. He earned his M.S. degree from the School of Computer Science and Engineering at the University of Electronic and Technology of China (UESTC) in Chengdu in 2004 and later completed his Ph.D. in Computer Science at Sichuan University. With a strong foundation in computer science, Dr. Li’s research interests focus on network and information security, big data, and cloud computing. Throughout his career, he has made significant contributions to advancing technologies in these fields, particularly in securing networks and leveraging the power of big data for innovative solutions. His expertise continues to shape developments in these critical areas of computing.

Professional Profile:

SCOPUS

🏆 Summary of Suitability for Best Researcher Award: Xingguo Li

Xingguo Li, a Senior Engineer at Sichuan University, is an exceptionally qualified candidate for the Best Researcher Award. With extensive academic and professional experience in the fields of network and information security, big data, and cloud computing, Dr. Li has made significant contributions to both academia and industry, solidifying his reputation as a leader in these transformative fields.

Education 🎓

  • Ph.D. in Computer Science
    Sichuan University, P.R. China
    Graduated: [Year not specified]

  • M.S. in Computer Science and Engineering
    University of Electronic and Technology of China (UESTC), Chengdu, China
    Graduated: 2004

Work Experience 💼

  • Senior Engineer
    College of Computer Science, Sichuan University, China
    Current Position: [Since unspecified year]

    • Focuses on research and development in the fields of network and information security, big data, and cloud computing.

  • [Other previous roles not mentioned in detail]

Research Interests 🔍

  • Network and Information Security

  • Big Data

  • Cloud Computing

Achievements 🏆

  • Extensive work in network security and cloud computing.

  • Significant contributions to the big data field with advanced research and developments.

  • Published multiple influential research papers and articles in high-impact journals.

Awards and Honors 🏅

  • Outstanding Researcher/Engineer

  • Contribution to Network Security Research

Publication Top Notes:

Network information security protection method based on additive Gaussian noise and mutual information neural network in cloud computing background

 

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