Dr. Muhammad
Sadiq
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, information security, 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
About Me
I am an academic, researcher, and mentor working at the intersection of Artificial Intelligence and practical Cybersecurity solutions, focusing on translating advanced ideas into meaningful solutions for education, security, and digital trust.
Professional 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. In these roles, he contributes to undergraduate and postgraduate education, academic partnership building, project development, and research supervision.
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. This experience included network management, digital equipment monitoring, cyber security compliance, penetration testing, training, incident-oriented support, and digital forensics-related work. The practical orientation developed during those years continues to inform his current research and teaching philosophy.
Across his academic career, Dr. Sadiq has maintained a strong commitment to applied and socially relevant innovation. 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.
In addition to research and teaching, Dr. Sadiq has actively contributed to internationalization, academic networking, and institutional cooperation. He has supported joint initiatives, exchange programs, training collaborations, and cross-border academic partnerships involving institutions in China, Pakistan, Saudi Arabia, Hong Kong, and other regions. This combination of technical, academic, and collaborative experience makes his profile particularly well suited for interdisciplinary and internationally engaged work.
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
For a complete CV and updated academic profile, please request a copy by email 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. My teaching philosophy integrates theoretical foundations with practical, research-driven applications.
Teaching Profile
Dr. Sadiq has taught a range of computer science and related technology courses at undergraduate and graduate levels. His teaching approach combines conceptual clarity, real-world relevance, and practical problem solving. Drawing on both academic research and industry experience, he aims to help students connect theory with implementation, develop analytical thinking, and build confidence in solving complex technical problems.
Mentoring & Supervision
He supervises and mentors students across BS, MS, and PhD levels, supporting them in research topic development, methodology design, experimental planning, academic writing, and publication-oriented work. His supervision style emphasizes rigor, independence, ethical research practice, and the ability to connect technical depth with broader impact.
"An important part of Dr. Sadiq’s academic work is 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
I actively supervise Master's and PhD students in the fields of Computer Vision and Cyber Security.
- PhD Supervision: Computer Vision & Deep Learning
- Master's Supervision: Network Security & IoUT
Current students can access course materials via the university portal.
Course AccessHonors & 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
I welcome opportunities for joint research projects, PhD supervision, and academic partnerships.
Contact Information
Office
Shenzhen University of Information Technology (SUIT)
Nanshan District, Shenzhen, Guangdong, China
Office Hours
Available for student consultation and research discussions.