About

I am a cyber-physical systems researcher and Graduate Research Assistant at Tuskegee University, Alabama, USA, where I am pursuing an M.S. in Information Systems and Computer Security on a full-ride scholarship. My research brings together cybersecurity, reinforcement learning, AI security, anomaly detection, and resilient control. I study how data-integrity attacks affect cyber-physical systems and develop detection, defense, and recovery methods to help them maintain reliable operation. My broader goal is to strengthen the security and resilience of cloud-controlled and autonomous systems.

After earning my engineering degree from BUET, I spent six years in the Bangladesh Civil Service. I am currently on study leave to pursue research. Public service strengthened my commitment to solving practical problems, and I bring that same motivation to my research. I value careful work that produces useful results. Looking ahead, I aim to pursue doctoral research on secure and resilient cyber-physical systems.

Research Interests

  • Cyber-Physical Systems (CPS)
  • Reinforcement Learning
  • AI Security and Robustness
  • Cybersecurity
  • Cloud-Based Control Systems
  • Resilient Autonomous Systems

Research Output

Publications

Peer-Reviewed & Published

  1. Detection of Integrity Attacks in Cloud-Based Cyber-Physical Systems (CBCPS) Using Long Short-Term Memory (LSTM) Models Mohammad Arafatur Rahman, Imran Jahid Khan, Fan Wu Proceedings of the 2026 9th International Conference on Information and Computer Technologies (ICICT), pp. 533–538, 2026.
  2. Resilience Analysis of Cloud-Controlled Cyber-Physical Systems Using a Reinforcement Learning CartPole Testbed Imran Jahid Khan, Maliha Hossain, Mohammad Arafatur Rahman, Fan Wu Proceedings of the 2026 IEEE World AI IoT Congress (AIIoT), pp. 773–779, 2026 · Published

Accepted — Camera-Ready Submitted

  1. Blockchain-Anchored Detection and Recovery for Resilient Reinforcement Learning-Based Cyber-Physical Systems Imran Jahid Khan, Maliha Hossain, Mohammad Arafatur Rahman, Fan Wu 7th Annual National HBCU Blockchain, FinTech, and AI Conference, National FinTech Center, Morgan State University, 2026 · Accepted; camera-ready submitted
  2. Reconstruction-Assisted Resilient Reinforcement Learning for the Artificial Pancreas under CGM Sensor Attacks Imran Jahid Khan, Suriya Tahmim, Maliha Hossain, Mohammad Arafatur Rahman, Fan Wu ISTHS Workshop, IEEE HealthCom, 2026 · Accepted; camera-ready submitted
  3. Evaluating Classical and Quantum Reinforcement Learning Controllers under Meal-Information Uncertainty in Artificial Pancreas Systems Maliha Hossain, Imran Jahid Khan, Mohammad Arafatur Rahman, Fan Wu ISTHS Workshop, IEEE HealthCom, 2026 · Accepted; camera-ready submitted
  4. An Auditable Evidence-Ranking Framework for AI-Assisted NMR Metabolomics in Breast Cancer Research Suriya Tahmim, Imran Jahid Khan, Willard E. Collier ISTHS Workshop, IEEE HealthCom, 2026 · Accepted; camera-ready submitted

Submitted — Under Review

  1. Reconstruction-Assisted DQN for Resilient Cloud-Controlled Cyber-Physical Systems against Data Integrity Attacks Imran Jahid Khan, Maliha Hossain, Mohammad Arafatur Rahman, Fan Wu 2nd Special Session on Cybersecurity and Telecommunication in the Era of AI, 2026 IEEE International Conference on Big Data (BigData) · Under review
  2. Evaluating Learning Efficiency and Computational Trade-Offs in Classical and Quantum Reinforcement Learning Using a CartPole Testbed Maliha Hossain, Imran Jahid Khan, Mohammad Arafatur Rahman, Fan Wu 2026 IEEE International Conference on Big Data (BigData) · Under review
Conference
  • Poster — Evaluating Q-Learning Rewards in Noisy Cloud-Based Cyber-Physical Systems AWS-MLU AI/ML Fall Teaching and Research Symposium & Student Poster Session · 2025

Learning Resources

News

Current News
  • Scheduled to present "Blockchain-Anchored Detection and Recovery for Resilient Reinforcement Learning-Based Cyber-Physical Systems" at the 7th Annual National HBCU Blockchain, FinTech, and AI Conference (National FinTech Center, Morgan State University), November 8–10, in Nashville, Tennessee.
  • Scheduled to present two papers at the ISTHS Workshop at IEEE HealthCom 2026: "Reconstruction-Assisted Resilient Reinforcement Learning for the Artificial Pancreas under CGM Sensor Attacks" and "Evaluating Classical and Quantum Reinforcement Learning Controllers under Meal-Information Uncertainty in Artificial Pancreas Systems."
  • All three submitted papers were accepted by the ISTHS Workshop at IEEE HealthCom 2026, and their camera-ready versions were submitted.
  • Submitted the paper "Reconstruction-Assisted DQN for Resilient Cloud-Controlled Cyber-Physical Systems against Data Integrity Attacks" to the 2nd Special Session on Cybersecurity and Telecommunication in the Era of AI at IEEE BigData 2026.
  • Submitted the paper "Evaluating Learning Efficiency and Computational Trade-Offs in Classical and Quantum Reinforcement Learning Using a CartPole Testbed" (second author) to IEEE BigData 2026.
  • Paper "Blockchain-Anchored Detection and Recovery for Resilient Reinforcement Learning-Based Cyber-Physical Systems" accepted at the 7th Annual National HBCU Blockchain, FinTech, and AI Conference (Morgan State University); camera-ready submitted.
  • Paper "Resilience Analysis of Cloud-Controlled Cyber-Physical Systems Using a Reinforcement Learning CartPole Testbed" published in the AIIoT Conference proceedings.
  • Paper "Resilience Analysis of Cloud-Controlled Cyber-Physical Systems Using a Reinforcement Learning CartPole Testbed" presented by Dr. Mohammad Arafatur Rahman at the AIIoT Conference in Seattle, WA.
  • Completed the second semester at Tuskegee University with a perfect 4.00/4.00 GPA.
  • Paper published at the 9th International Conference on Information and Computer Technologies (ICICT).
  • Paper accepted for presentation at the AIIoT Conference.
Archived News
  • Completed the first semester at Tuskegee University with a perfect 4.00/4.00 GPA.
  • Presented the research poster "Evaluating Q-Learning Rewards in Noisy Cloud-Based Cyber-Physical Systems" at the AWS-MLU AI/ML Fall Teaching and Research Symposium.
  • Joined Tuskegee University as a Graduate Teaching Assistant, working with Dr. K.
  • Joined Tuskegee University as a Graduate Research Assistant, under the supervision of Dr. Mohammad Arafatur Rahman.
  • Began M.S. studies in Information Systems and Computer Security at Tuskegee University.
  • Awarded a full scholarship for M.S. studies at Tuskegee University.
  • Selected for the Japan Human Resources Development Scholarship (JDS).
  • Awarded a full scholarship at Williams College (M.A. in Policy Economics).
  • Appointed Deputy Director (Senior Assistant Secretary), Export Promotion Bureau, Ministry of Commerce.
  • Awarded the Prime Minister's Fellowship (Government of Bangladesh).
  • Awarded a scholarship under the "Capacity Building of BCS Administration Academy" Project (Government of Bangladesh).
  • Posted as Assistant Commissioner (Land) & Executive Magistrate, Ministry of Land.
  • Joined the Bangladesh Civil Service as Assistant Commissioner & Executive Magistrate, Ministry of Public Administration.

Contact

The best way to reach me is by email. I am also on the platforms below.

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