Nur Imtiazul Haque

Dr. Haque holds a Ph.D. in Electrical and Computer Engineering and an M.Sc. in Computer Engineering, both from Florida International University, USA. He earned his bachelor's degree in Computer Science and Engineering (CSE) from Khulna University of Engineering and Technology, Bangladesh. He began his career as a lecturer in the CSE department at Daffodil International University, Bangladesh. Dr. Haque started his Ph.D. journey the following year in the Analytics for Cyber Defense lab, where he worked as a graduate research assistant and received the Dissertation Year Fellowship Award. His research integrates formal methods, machine learning, and mathematical optimization to secure critical infrastructures against emerging cyber-physical system threats. During his Ph.D., he successfully contributed to and completed two NSF and one DOE projects, published 12 peer-reviewed papers and one book chapter, and patented a tool. In 2023, he received the Best Paper Award at the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). Dr. Haque also served as the publication chair for the International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security (AIOTS) in 2023. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Communications Society.

PhD: Florida International University USA, 2024 (Electrical and Computer Engineering)

MSc: Florida International University USA, 2023 (Computer Engineering)

BSc: Khulna University of Engineering and Technology Bangladesh, 2018 (Computer Science and Engineering)

2019 -2023 Graduate Research Assistant, Florida International University, USA

2018 -2019 Lecturer, Daffodil International University, Bangladesh

2024 - Visiting Assistant Professor, University of Cincinnati, USA

Peer Reviewed Publications

N. I. Haque, M. A. Rahman, and S. Uluagac (2024. ) Formal Threat Analysis of Machine Learning-Based Control Systems: A Study on Smart Healthcare Systems.ELSEVIER Computers & Security, , 139 ,103709 More Information

N. I. Haque, M. Ngouen, M. A. Rahman, S. Uluagac, and L. Njilla (2023. ) SHATTER: Control and Defense-Aware Attack Analytics for Activity-Driven Smart Home Systems.IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), , 1 More Information

N. I. Haque and M. A. Rahman (2022. ) PHASE: Security Analyzer for Next-Generation Smart Personalized Smart Healthcare System.IEEE International Conference on Digital Health (ICDH), , 208 More Information

N. I. Haque, M. A. Rahman, and S. I. Ahamed (2022. ) DeepCAD: A Stand-alone Deep Neural Network-based Framework for Classification and Anomaly Detection in Smart Healthcare Systems.IEEE International Conference on Digital Health (ICDH), , 218 More Information

M. H. Shahriar, M. A. Rahman, N. I. Haque, B. Chowdhury, and S. G. Whisenant (2021. ) iDDAF: An Intelligent Deceptive Data Acquisition Framework for Secure Cyber-Physical Systems.Security and Privacy in Communication Networks: 17th EAI International Conference, , 338 More Information

N. I. Haque, A. A. Khalil, M. A. Rahman, M. H. Amini, and S. I. Ahamed (2021. ) BIOCAD: Bio-Inspired Optimization for Classification and Anomaly Detection in Digital Healthcare Systems.IEEE International Conference on Digital Health (ICDH), , 48 More Information

M. H. Shahriar, M. A. Rahman, N. I. Haque, and B. Chowdhury (2021. ) DDAF: Deceptive Data Acquisition Framework against Stealthy Attacks in Cyber-Physical Systems.IEEE Annual Computers, Software, and Applications Conference (COMPSAC), , 725 More Information

N. I. Haque, M. A. Rahman, and H. Shahriar (2021. ) Ensemble-based Efficient Anomaly Detection for Smart Building Control Systems.IEEE Annual Computers, Software, and Applications Conference (COMPSAC), , 504 More Information

N. I. Haque, M. A. Rahman, and H. Shahriar (2021. ) BIoTA: Control-Aware Attack Analytics for Building Internet of Things.Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), , 1 More Information

N. I. Haque, M. H. Shahriar, M. G. Dastgir, A. Debnath, I. Parvez, A. Sarwat, and M. A. Rahman (2020. ) A Survey of Machine Learning-Based Cyber-Physical Attack Generation, Detection, and Mitigation in Smart-grid.North American Power Symposium (NAPS), , 1 More Information

A. I. Newaz, N. I. Haque, A. K. Sikder, M. A. Rahman, and S. Uluagac (2020. ) Adversarial Attacks to Machine Learning-based Smart Healthcare Systems.IEEE Global Communications Conference, , 1 More Information

M. H. Shahriar, N. I. Haque, M. A. Rahman, and M. Alonso (2020. ) G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System.IEEE Annual Computers, Software, and Applications Conference (COMPSAC), , 376 More Information

Book Chapter

N. I. Haque and M. A. Rahman (2023 ) Artificial Intelligence-assisted Security Analysis of Smart Healthcare Systems AI, Machine Learning and Deep Learning .(pp. 287).USA, CRC Press (Author)

US11410776B1 Systems and Methods for Formal Threat Analysis of a Smart Healthcare System M. A. Rahman and N. I. Haque, Awarded Inventor