Dr. MuhammadSadiq.
Project Director, International Affairs · Foreign Technology Expert · Assistant Professor
Shenzhen University of Information Technology
Researcher, educator, and academic leader working at the intersection of artificial intelligence, computer vision, cybersecurity, and trustworthy intelligent systems.
Featured Publications
Recent advances, future trends, applications and challenges of internet of underwater things (iout): A comprehensive review
Syed Agha Hassnain Mohsan, Yanlong Li, Muhammad Sadiq, Junwei Liang, Muhammad Asghar Khan
Researcher & Educator
Working at the intersection of Artificial Intelligence and practical Cybersecurity solutions.
BProfessional Biography
Dr. Muhammad Sadiq is an accomplished academic, researcher, mentor, and international collaborator whose career integrates artificial intelligence, computer vision, cybersecurity, information security, digital forensics, and technology-enabled education. His professional profile combines academic depth with strong practical grounding, shaped by years of work across university teaching, government-sector IT operations, research leadership, and cross-border academic engagement.
He currently serves in Shenzhen, China, where he holds leadership and faculty responsibilities related to international affairs, teaching, and research development. He is also associated with advanced research and graduate teaching activities through the Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen.
Before fully transitioning into higher education, Dr. Sadiq built extensive experience in the IT and security domain through technical, administrative, and strategic responsibilities in government-sector environments — including network management, digital equipment monitoring, cyber security compliance, penetration testing, and digital forensics.
His research interests cover trustworthy AI, facial analysis, robust perception under occlusion, industrial and vehicular security, blockchain-assisted systems, intelligent communications, and secure digital ecosystems. He is particularly interested in research that connects methodological rigor with deployment-oriented value.
Trustworthy AI
Reliable, interpretable, and deployable systems for security and education.
Computer Vision
Facial landmark detection & occlusion handling.
Cyber Security
Intrusion detection systems & secure data exchange.
Distributed Trust
Blockchain-assisted systems for privacy and collaborative security.
Curriculum Vitae
Request a complete CV or view the latest publication records on Google Scholar.
Selected Research
Highlighting key contributions to Computer Vision, IoUT, and Network Security.
977
Citations
13
h-index
19
i10-index
Recent advances, future trends, applications and challenges of internet of underwater things (iout): A comprehensive review
Syed Agha Hassnain Mohsan, Yanlong Li, Muhammad Sadiq, Junwei Liang, Muhammad Asghar Khan
Journal of Marine Science and Engineering 11 (1), 124, 2023
Robust facial landmark detection via occlusion-adaptive deep networks
Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq
NOMA-based VLC systems: A comprehensive review
Syed Agha Hassnain Mohsan, Muhammad Sadiq, Yanlong Li, Alexey V Shvetsov, Svetlana V Shvetsova, Muhammad Shafiq
Sensors 23 (6), 2960, 2023
Teaching & Supervision
Dedicated to mentoring the next generation of researchers. Integrating theoretical foundations with practical, research-driven applications.
Teaching Profile
Dr. Sadiq has taught a range of computer science and technology courses at undergraduate and graduate levels. His teaching approach combines conceptual clarity, real-world relevance, and practical problem solving — helping students connect theory with implementation and develop analytical thinking.
Mentoring & Supervision
He supervises and mentors students across BS, MS, and PhD levels — supporting them in research topic development, methodology design, academic writing, and publication-oriented work.
"Guiding students to become not only technically competent but also thoughtful, ethical, and creative contributors to science and society."
Core Teaching Areas
Artificial Intelligence
Graduate & UndergraduateIntelligent systems, machine learning algorithms, and research-driven AI applications.
Computer Vision
Graduate & UndergraduateFacial analysis, occlusion-adaptive deep networks, and robust visual perception.
Cybersecurity
Graduate & UndergraduateInformation security, digital forensics, intrusion detection, and network resilience.
Research Supervision
Actively supervising Master's and PhD students in Computer Vision and Cyber Security.
Honors & Awards
Recognition of research impact and academic excellence.
National Natural Science Foundation of China (NSFC) Grant
National Natural Science Foundation of China
Awarded for research on 'Robust facial landmark detection via occlusion-adaptive deep networks' and IoUT security.
Best Paper Award
International Conference on Computer Vision
Recognized for outstanding contribution in the field of deep learning and facial recognition.
Excellent Researcher Award
Shenzhen University of Information Technology (SUIT)
Awarded for high-impact publications and significant contributions to the university's research output.
Top 1% Reviewer
Publons
Acknowledged for providing high-quality peer reviews for top-tier journals in Computer Science.
Professional Certifications
Professional development profile includes multiple international certifications in cybersecurity, digital forensics, cloud security, and information security auditing — reflecting a strong link between academic research and applied professional practice.
Academic Collaboration
Welcome opportunities for joint research projects, PhD supervision, and academic partnerships.
Office
Shenzhen University of Information Technology (SUIT)
Nanshan District, Shenzhen, Guangdong, China
Office Hours
Available for student consultation and research discussions.