Biography

Dr. Mohsin Murtaza is an Assistant Professor in Business Analytics at the College of Business, Al Ain University. He has over ten years of teaching experience across multiple reputable Australian institutions, including RMIT Univeristy, La Trobe University, Charles Sturt University, and Central Queensland University, where he has contributed to curriculum design, course development, and accreditation processes. His teaching philosophy emphasizes student engagement, practical application, and fostering analytical and research-driven thinking.

 Dr. Murtaza has been recognized multiple times for his innovative teaching and commitment to student success, earning several Teaching Excellence Awards and Pro Vice-Chancellor’s Awards for exceptional course development, student satisfaction, and learning outcomes.

 His research spans Artificial Intelligence (AI), Business Analytics, Busienss Intelligence, Autonomous Systems, Information Systems, and the effectiveness of AI in teaching, learning, and professional training contexts. He has actively published in reputable international journals and conferences and has also secured competitive research funding through the Enabling Impact Platform (EIP), reflecting the applied and impactful nature of his scholarly work.

 Beyond academia, Dr. Murtaza has delivered training and consultation to government, public-sector, and industry personnel in areas such as analytics, systems, and emerging technologies. He also serves on technical committees for international conferences, reviews for reputable journals, and regularly participates in professional development activities to advance his academic and research practice.

Education

Doctor of Philosophy , RMIT University, Australia

Graduate Diploma of Business Information Systems, Federation University, Australia

Master of Telecommunication Engineering, La Trobe University, Australia

Bachelor of Science (Telecommunication Engineering), National University of Computer and Emerging Sciences (NUCES-FAST), Pakistan)

TAE40116-Certificate IV in Training and Assessment, Plenty Training, Australia

TAE40110-Certificate IV in Training and Assessment, Training and Development Institute, Australia

Research Interests

Artificial Intelligence (AI), Business Analytics, Busines Intelligence, Cyber Security, Effectivenes of AI in Training/Teaching and Learning, and Information Systems.

Selected Publications

• M. Murtaza, C-T, Cheng, B.M, Albahal, M.M. Muslama, and M.Raza “The Impact of LLM Chatbots on Learning Outcomes in Advanced Driver Assistance Systems Education, Nature-Scientific Report, 2025, doi:10.1038/s41598-025-91330-3 .
• M. Murtaza, M. Iftikhar, M. S. Raza, Z. H. Mir, M. J. Abdulaal, and N. Nasser, “Integrating IoT and Cloud for Enhanced Autonomous Vehicle Safety,” in Proc. IEEE Middle East Conf. Commun. Networking (MECOM), Nov. 2024, pp. 362–367.
• K. G. Arachchige, G. Alkaabi, M. Murtaza, Q. E. U. Haq, A. Z. Abualkishik, and C. C. Lee, “Threat Landscape and Integrated Cybersecurity Framework for V2V and Autonomous Electric Vehicles,” World Electric Vehicle Journal, vol. 16, no. 8, p. 469, 2025.
• M. Murtaza, C.-T. Cheng, M. Fard, and J. Zeleznikow, "Transforming Driver Education: A Comparative Analysis of LLM-Augmented Training and Conventional Instruction for Autonomous Vehicle Technologies," International Journal of Artificial Intelligence in Education, pp. 1-38, 2024, doi: 10.1007/s40593-024-00407-z .
• M. Murtaza, C.-T. Cheng, M. Fard, and J. Zeleznikow, "Assessing Training Methods for Advanced Driver Assistance Systems and Autonomous Vehicle Functions: Impact on User Mental Models and Performance," Applied Sciences, vol. 14, no. 6, p. 2348, 2024, doi: 10.3390/app14062348.
• K.Godewatte, M. Murtaza, and C.-T. Cheng, " Blockchain-Enabled Mitigation Strategies for Distributed Denial of Service Attacks in IoT Sensor Networks: An Experimental Approach", Computers, Materials &Continua, 2024.
• M. Murtaza, C.-T. Cheng, M. Fard, and J. Zeleznikow, "Preparing Drivers for the Future: Evaluating the Effects of Training on Drivers’ Performance in an Autonomous Vehicle Landscape," Transportation Research Part F: Traffic Psychology and Behaviour, 2023, doi: 10.1016/j.trf.2023.09.013.
• M. Murtaza, C.-T. Cheng, M. Fard, and J. Zeleznikow, "The importance of transparency in naming conventions, designs, and operations of safety features: from modern ADAS to fully autonomous driving functions," AI & SOCIETY, pp. 1-11, 2022, doi: 10.1007/s00146-022-01442-x 

 

 

 

Teaching Courses

• Scientific Research Methodology
• Business Intelligence
• Statistics for Business Decision Making