Dr. Muhammad Asad Saleem | Information Security | Best Researcher Award
Post Doctoral Researcher, University of Electronic Science and Technology of China
Dr. Muhammad Asad Saleem is a distinguished researcher and academic in cyberspace security, currently serving as a Postdoctoral Researcher at the University of Electronic Science and Technology of China π¨π³. With a strong background in computer science, he has contributed significantly to network security, cryptographic protocols, and authentication mechanisms π. His research has been recognized internationally, earning him multiple high-impact publications π in IEEE Transactions and Q1 journals. Passionate about fostering cybersecurity innovations, Dr. Saleem is dedicated to enhancing vehicular networks, blockchain security, and IoT authentication ππ‘.
Publication Profile
π Education
Dr. Saleem holds a Ph.D. in Computer Science and Technology (2021β2024) from the University of Electronic Science and Technology of China ποΈ, where he received the Excellent Student Award for his outstanding academic performance (CGPA 3.9/4.0). His doctoral research focused on privacy-preserving authenticated key-establishment protocols for vehicular ad-hoc networks ππ. Prior to that, he completed an MS in Computer Science (2018β2020) from COMSATS University Islamabad π΅π°, where he achieved a perfect 4.0/4.0 CGPA and was recognized as the Overall Batch Topper π.
πΌ Experience
Dr. Saleem has a strong academic career, beginning as a Lab Engineer (2018β2021) at COMSATS University Islamabad, where he taught foundational courses like Programming, Database Systems, and Network Security π». He later served as a Visiting Lecturer (2020β2021) at the University of Sahiwal, teaching advanced computer science subjects. From 2021 to 2024, he was a Lecturer in Computer Science at the Higher Education Department of Punjab, where he trained future cybersecurity experts. His transition to a Postdoctoral Researcher in cyberspace security at UESTC, China marks his continued pursuit of cutting-edge research in cryptographic algorithms and vehicular security systems ππ.
π Awards and Honors
Dr. Saleemβs academic excellence and research contributions have earned him several prestigious awards π. He was honored with the Excellent Student Award during his Ph.D. studies π and was the Overall Batch Topper in his MS program π₯. His high-impact publications in top-tier Q1 journals have further solidified his reputation as a leading cybersecurity researcher.
π Research Focus
Dr. Saleemβs research primarily revolves around network security, cryptographic authentication, and secure vehicular networks ππ. His work focuses on designing lightweight and efficient security protocols for IoT, blockchain-based systems, and intelligent transportation networks ππ. His contributions have advanced secure key establishment mechanisms, privacy-preserving authentication, and cybersecurity solutions for smart cities and industrial IoT π‘π.
π Conclusion
Dr. Muhammad Asad Saleem is a dynamic researcher and educator, making significant strides in cybersecurity and network authentication π‘οΈ. With a strong academic background, extensive research experience, and a passion for innovation, he continues to contribute to the evolving landscape of secure communication systems. His high-impact publications and academic excellence place him among the most promising researchers in the field of cyberspace security π.
π PublicationsΒ
A Provably Secure Lightweight Key Agreement Protocol for Wireless Body Area Networks in Healthcare Systems (2023) β IEEE Transactions on Industrial Informatics (DOI Link) β Cited by 50+ articles π¬.
Blockchain and PUF-Based Secure Key Establishment Protocol for Cross-Domain Digital Twins in IIoT Architecture (2023) β Journal of Advanced Research (DOI Link) β Cited by 40+ articles π‘.
Provably Secure Authentication Protocol for Mobile Clients in IoT Environment Using Puncturable Pseudorandom Function (2021) β IEEE Internet of Things Journal (DOI Link) β Cited by 60+ articles π².
Authenticated Key Management Protocol in Fog Computing-Based Internet of Vehicles Deployment (2020) β IEEE Internet of Things Journal (DOI Link) β Cited by 55+ articles π.
An Efficient and Physically Secure Privacy-Preserving Key-Agreement Protocol for Vehicular Ad-hoc Networks (2023) β IEEE Transactions on Intelligent Transportation Systems (DOI Link) β Cited by 35+ articles π.
A Provably Secure Mobile User Authentication Scheme for Big Data Collection in IoT-Enabled Maritime Intelligent Transportation System (2023) β IEEE Transactions on Intelligent Transportation Systems (DOI Link) β Cited by 45+ articles β.
Secure RFID-Assisted Authentication Protocol for Vehicular Cloud Computing Environment (2024) β IEEE Transactions on Intelligent Transportation Systems (DOI Link) β Cited by 30+ articles βοΈπ.
A Cost-Efficient Anonymous Authenticated and Key Agreement Scheme for V2I-Based Vehicular Ad-hoc Networks (2024) β IEEE Transactions on Intelligent Transportation Systems (DOI Link) β Cited by 25+ articles ποΈ.
Lightweight and Secure Multi-Factor Authentication Scheme in VANETs (2023) β IEEE Transactions on Vehicular Technology (DOI Link) β Cited by 40+ articles π.
Cloud-Assisted Secure and Cost-Effective Authenticated Solution for Remote Wearable Health Monitoring System (2023) β IEEE Transactions on Network Science and Engineering (DOI Link) β Cited by 50+ articles βπ.