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.

Dr. Mohammad Faisal | Security Award | Best Innovation Award

Dr. Mohammad Faisal | Security Award | Best Innovation Award

Dr. Mohammad Faisal, University of Malakand, Qatar

Dr. Mohammad Faisal is a distinguished researcher and academic with a Ph.D. in Computer Science, specializing in Network Security and Machine Learning. With a robust impact factor of 71.7, his research contributions encompass various facets of cybersecurity, including identity attack detection, DDoS attack analysis, and energy-efficient communication protocols. Dr. Faisal’s work has been featured in renowned journals such as IEEE Access, Complexity, and the EURASIP Journal on Wireless Communications and Networking. He is an ACM Professional Member and has been recognized by WIPO as a certified intellectual property expert. Currently serving as a Lecturer at the University of Malakand, Dr. Faisal has previously held academic positions at the University of Swabi and City University of Science and Technology. His expertise extends to network engineering, where he has substantial experience with LAN/WAN configuration and SQL Server management. Dr. Faisal has also been a keynote speaker and session chair at numerous international conferences, reflecting his leadership in the field. His commitment to education and research is further demonstrated through his active participation in workshops and conferences, and he has received accolades for both teaching and research excellence.

Professional Profile:

Summary of Suitability for Best Innovation Award

PhD in Computer Science & IT from the University of Malakand, Pakistan, with a focus on Network Security and Machine Learning. MS in Information Security Management from SZABIST, Pakistan. Dr. Faisal’s research spans various innovative fields including wireless ad hoc networks (MANETs, VANETs), IoT, Cloud, Fog, Edge Computing, Blockchain, and digital forensics.

Education

  • PhD in Computer Science (Network Security), University of Malakand, Dir-Lower, KPK, Pakistan (March 2013 – June 2018)
  • Master of Science in Computer Science (Information Security Management), SZABIST, Islamabad, Pakistan (August 2010 – August 2012)
  • Bachelor of Computer Science, University of Malakand, Dir-Lower, KPK, Pakistan (December 2001 – September 2006)

Research Experience

Research Projects:

  • Cluster based Anti-Phishing (CAP) mechanism for smartphones
  • Blockchain in health care system (submitted for grant approval)
  • Working on IADS with Fast science organization

Experience in Research Tools:

  • Python programming language
  • WEKA Tool for Machine Learning
  • Graph Theory for Mathematical Evaluation
  • NS2/NS3 for Simulation
  • SPSS/Endnote for Statistical Evaluation

Work Experience:

  1. Lecturer, University of Malakand, Dir, KPK, Pakistan (Feb 2016 – Present)
    • Additional Responsibilities: Focal Person for Sustainable Goals Development (SDGs), Department of Cyber Security, Faculty Mentor Cyber Security Club, Volunteer for University of Malakand and Environmental Protection Society, Ex-Manager Financial Aid, Ex-Semester Coordinator CS & IT.
  2. Lecturer, University of Swabi, Swabi, KPK, Pakistan (Nov 2013 – Jan 2016)
    • Additional Responsibilities: Head of Department Computer Science/IT, Additional Controller of Examination-Secrecy, Member of university Proctorial Board, Member of Board of Studies Department CS & IT, Member of Board of Faculty, Member of Academic Council.
  3. Lecturer, City University of Science & Technology-CUSIT, Peshawar, KPK, Pakistan (Oct 2012 – Nov 2013)
    • Responsibilities included teaching undergraduate and graduate level courses, supervising research projects, writing and publishing research work, designing curriculum, and delivering seminars.
  4. Network Engineer, PRAL-Motorway Project, FBR-Islamabad (Nov 2006 – Jul 2013)
    • Responsibilities included LAN and WAN network configuration, installation and management of SQL Server, Windows Client/Server, DNS, DHCP, and FTP/Web Servers.

Awards and Certifications

Awards:

  • Best Teacher Award, University of Swabi
  • Best Researcher Award, University of Malakand
  • Merit Scholarship Award in MS, SZABIST

Certifications:

  • CISCO Certified Instructor (CCNA Routing & Switching: Introduction to Networks, Routing & Switching Essentials, Scaling Networks, Connecting Networks)

International Memberships:

  • ACM Professional Member
  • IEEE Computer Society
  • Cyber Security

Publication top Notes:

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

An energy-efficient mobile agent-based data aggregation scheme for wireless body area networks

A decision support system for assessing the role of the 5G network and AI in situational teaching research in higher education

Decision support system for evaluating the role of music in network-based game for sustaining effectiveness

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs