Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang | Network Security Awards | Best Researcher Award

Prof. Dr. Haiyan Kang , Beijing Information Science and Technology University, China

Prof. Dr. Kang Haiyan is a prominent academic in the field of Information Security, currently serving as a professor in the Department of Information Security at Beijing Information Science and Technology University, China. He earned his Ph.D. in Computer Application Technology from Beijing Institute of Technology in 2005. A senior member of the China Computer Federation and an ACM member, Prof. Kang has received recognition as an outstanding talent in Beijing and serves as an executive member of the Privacy Protection Committee of the China Confidentiality Association. He is the chief of the national first-class major in Information Security and has contributed significantly to the field through over 110 academic publications and six monographs. His research focuses on network security, blockchain technology, and privacy protection, resulting in six provincial and ministerial awards and 25 invention patents. Committed to education, he has been honored with national and local teaching achievement awards and recognized as an Excellent Graduate Thesis Supervisor in Beijing. Additionally, he holds editorial board positions with several academic journals in the field.

Professional Profile:

SCOPUS

Prof. Dr. Kang Haiyan for the Best Researcher Award

Prof. Dr. Kang Haiyan is a remarkable candidate for the Best Researcher Award due to his extensive contributions to the fields of network security, blockchain, and privacy protection, alongside his dedication to academic excellence and leadership in education.

Education

  • Ph.D. in Computer Application Technology
    Beijing Institute of Technology, China (2005) 🎓

Work Experience

  • Professor
    Department of Information Security, Beijing Information Science and Technology University, Beijing, China
  • Chief
    National First-Class Major (Information Security) and Electronic Information (Network and Information Security) 📚
  • Editorial Board Member
    • Journal of Information Security Research
    • Cyberspace Security
    • Journal of Cyberspace Security Science
    • Journal of Beijing University of Information Science and Technology

Achievements

  • Research Awards: 6 provincial and ministerial level awards 🏆
  • Invention Patents: 25 patents for innovative contributions 💡
  • Publications: Over 110 academic papers and 6 monographs 📖

Awards and Honors

  • National Teaching Achievements: 2 Third Prizes 🥉
  • Beijing Teaching Achievements: 1 Second Prize 🥈
  • Title: Excellent Graduate Thesis Supervisor in Beijing 🌟

Publication Top Notes:

Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network

Community overlap discovery algorithm based on industrial big data

Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy

Enhancing data security in massive data sets using blockchain and federated learning: a loosely coupled approach

Research on Federated Sharing Methods for Massive Data in Blockchain

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