Mr. Zhaoguo Wang | Cybersecurity | Best Researcher Award

Mr. Zhaoguo Wang | Cybersecurity | Best Researcher Award

Mr. Zhaoguo Wang | Harbin Institute of Technology | China

Mr. Zhaoguo Wang Ph.D., is a leading researcher in the field of computer science and technology with a strong focus on industrial internet security and data security. His academic journey began with a doctoral degree in Computer Science and Technology from the prestigious Harbin Institute of Technology, where he laid a strong foundation in advanced computing methodologies and cybersecurity research. Following his Ph.D., he pursued postdoctoral studies at Tsinghua University, where he honed his expertise in innovative approaches to safeguarding digital ecosystems. His academic and professional trajectory has been marked by excellence and recognition, culminating in distinguished appointments at several leading institutions. He currently serves as a Distinguished Researcher at Peking University Shenzhen Graduate School, where he also contributes as a Shenzhen High-Level Talent and an appointed expert under the “Pengcheng Peacock Plan.”

Professional Profile

Scopus

Summary of Suitability for Best Researcher Award 

Mr. Zhaoguo Wang is a distinguished researcher in computer science, data security, and industrial internet security, with a proven record of academic excellence, innovation, and leadership. With a Ph.D. from Harbin Institute of Technology and postdoctoral experience at Tsinghua University, he currently holds key academic and administrative positions, including Deputy Director of the Data Security Research Institute and Director of multiple laboratories at HIT (Shenzhen). Recognized as a Shenzhen High-Level Talent and a Pengcheng Peacock Plan appointee, Mr. Zhaoguo Wang exemplifies the qualities of a top researcher in both academia and applied technology.

Education

Mr. Zhaoguo Wang academic path is rooted in one of China’s most renowned engineering institutions, the Harbin Institute of Technology, where he earned his doctoral degree in Computer Science and Technology. This rigorous training equipped him with the skills to address emerging challenges in digital security and large-scale data protection. His pursuit of advanced research led him to Tsinghua University for postdoctoral work, where he expanded his expertise in data compliance, network security, and industrial internet frameworks. This combination of formal training and research immersion shaped him into an authority on information security and data governance.

Experience

Mr. Zhaoguo Wang has held numerous influential roles across academia and industry. He currently serves as Deputy Director of the Data Security Research Institute at Harbin Institute of Technology (Shenzhen), while also leading two specialized laboratories: the Data Compliance Laboratory and the Data Elements Laboratory. His leadership extends beyond the university setting as he actively contributes to the evaluation of provincial and municipal projects, serving as a review expert for organizations such as the Guangdong Provincial Science and Technology Projects, Shenzhen Science and Technology Innovation Commission, and the Shenzhen Economic and Information Commission. Over the course of his career, he has overseen or played a critical role in more than 40 funded projects, including national key R&D programs, initiatives supported by the National Natural Science Foundation of China, the National Science and Technology Support Program, and strategic projects from the State Grid Corporation. His successful acquisition of funding exceeding RMB 100 million reflects both his research credibility and ability to lead large-scale collaborative efforts.

Research Interests

The central theme of Mr. Zhaoguo Wang strial networks, big data, and compliance, emphasizing frameworks for secure communication, governance of sensitive data, and resilience against cyber threats. Through his directorship in laboratories dedicated to data compliance and data elements, he has advanced applied research that not only addresses theoretical challenges but also provides actionable solutions to industry partners, ensuring that research outcomes translate into practical, real-world benefits.

Awards

Mr. Zhaoguo Wang research excellence has been recognized through numerous honors. He received the First Prize in the Beijing Division of the China Innovation and Entrepreneurship Competition, highlighting his innovative contributions to data-driven technologies. In addition, he earned the Second Prize for Scientific and Technological Progress in Shenzhen, further validating the impact of his research in advancing the city’s role as a hub for digital innovation and cybersecurity leadership.

Publication Top Notes

1. Understanding the Influence of Extremely High-Degree Nodes on Graph Anomaly Detection

Year: 2024

2. Hovering of Bi-Directional Motor Driven Flapping Wing Micro Aerial Vehicle Based on Deep Reinforcement Learning

Year: 2024

Conclusion

Mr. Zhaoguo Wang has established himself as a distinguished figure in the field of computer science with a strong emphasis on industrial internet and data security. His blend of academic excellence, visionary research, and leadership in laboratory and institutional settings has made him a driving force in advancing secure digital ecosystems. Through his contributions to funded projects, pioneering research outputs, and award-winning innovations, he continues to shape the future of data governance and cybersecurity. His scholarly publications and patents further solidify his position as a thought leader, while his role in provincial and municipal project evaluations demonstrates his broader influence on national and regional science and technology development.

Mr. Abhijeet Thakare | Network Security | Best Researcher Award

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