Dr. Rui Meng | Security Assessment Awards | Best Researcher Award

Dr. Rui Meng | Security Assessment Awards | Best Researcher Award 

Dr. Rui Meng, Beijing University of Posts and Telecommunications, China

Dr. Meng Rui is a dedicated researcher in the fields of sensor authentication, wireless security, and physical layer authentication. He earned his Bachelor’s degree in Information Engineering from Beijing University of Posts and Telecommunications from 2014 to 2018, followed by a Ph.D. in Information and Communication Engineering from the same institution, which he completed in 2024. Currently, Dr. Meng serves as a Postdoctoral Researcher at the School of Cyberspace Security at Beijing University of Posts and Telecommunications. He has published nearly 20 papers in prestigious international journals and conferences, including Sensors, IEEE Transactions on Industrial Informatics, and the IEEE Internet of Things Journal. Dr. Meng has also contributed to five national-level projects, such as the National Key Research and Development Program and the National Natural Science Foundation of China, showcasing his commitment to advancing knowledge in his field.

Professional Profile:

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Suitability of Dr. Meng Rui for the Research for Best Researcher Award

Dr. Meng Rui is an exemplary candidate for the Research for Best Researcher Award due to his significant contributions to the fields of Sensor Authentication, Wireless Security, and Physical Layer Authentication. Below is a detailed summary of his qualifications and achievements that support his suitability for this prestigious recognition.

🎓 Education Background

  • Bachelor’s Degree in Information Engineering (2014–2018)
    Beijing University of Posts and Telecommunications 🎓
  • Ph.D. in Information and Communication Engineering (2018–2024)
    Beijing University of Posts and Telecommunications 🎓

💼 Work Experience

  • Postdoctoral Researcher (2024–Present)
    School of Cyberspace Security, Beijing University of Posts and Telecommunications 🧑‍🔬

🏆 Achievements

  • Published nearly 20 international journal and conference papers in renowned publications, including:
    • Sensors
    • IEEE Transactions on Industrial Informatics (TII)
    • IEEE Internet of Things Journal (IoTJ)
    • IEEE Transactions on Cognitive Communications and Networking (TCCN)
    • IEEE GlobeCom 📚
  • Key contributions include innovations in Physical Layer Authentication, Sensor Authentication, and Wireless Security for Industrial IoT and 6G Systems.
  • Author of impactful works such as:
    • Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenarios 🌌
    • Physical-layer authentication using hierarchical variational autoencoder 🌐
    • Multiuser physical-layer authentication via latent perturbed neural networks 🤖
  • Active participant in five national-level projects, including:
    • The National Key Research and Development Program 🔑
    • The National Natural Science Foundation of China 🌏

✨ Awards and Honors

  • Recognition for contributions to secure wireless communications in next-gen technologies. 🏅
  • Active collaborator in cutting-edge cybersecurity research at the national level. 🌟

Publication Top Notes:

A survey of Machine Learning-based Physical-Layer Authentication in wireless communications

Channel Code-Book (CCB): Semantic Image-Adaptive Transmission in Satellite–Ground Scenario

Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization

Multiobservation-Multichannel-Attribute-Based Multiuser Authentication for Industrial Wireless Edge Networks

Multidimensional Fingerprints-Based Multiattacker Detection for 6G Systems

Task-Oriented and Semantic-Aware Heterogeneous Networks for Artificial Intelligence of Things: Performance Analysis and Optimization

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