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Kamrul Hasan
Assistant Professor
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Dr. Kamrul Hasan is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE). His research focuses on Cyber-Physical Systems (CPS) security, Trustworthy AI, and AI-driven cybersecurity, spanning computer networks, software-enabled network security, and machine learning鈥揺mpowered automation for secure and resilient systems. Dr. Hasan has served as PI/Co-PI in different externally funded projects supported by the National Science Foundation (NSF), United State Department of Transportation (USDOT), Department of War (DoW), and Tennesse Department of Economic and Community Development (TNECD). He has authored or co-authored around 50 peer-reviewed journals and conference publications, one book chapter, and holds one U.S. patent. 听 |
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EDUCATION:
2016-2020 Ph.D., Computational Modeling and Simulation Engineering, Old Dominion University, Norfolk, VA.
2014-2016 M.S., Computer Information and Systems Engineering, 91成人, Nashville, TN.
2011-2013 M.B.A., Finance, Institute of Business Administration, Dhaka University, Bangladesh
2001-2006 B.Sc., EEE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
EXPERIENCE:
Academic Experience
Jan. 2021- present, Tenure-Track Assistant Professor, Department of Electrical and Computer Engineering, 91成人, Nashville, TN.
Aug. 2016- Dec. 2020: Research Scientist, Virginia Modeling and Simulation Center, Old Dominion University, Suffolk, VA, USA听
Industrial Experience
5/2019-8/2019: PDU Cybersecurity Researcher, Electric Power Research Institute, Palo Alto, CA.
5/2018- 8/2018: Cybersecurity Researcher, Accenture Cyber Fusion Lab, Arlington, VA.
Grant Awarded
Principal Investigator, SMART: " Leveragaging Advanced Data to Deliver Multi Modal Safety Ph-2" United State Department of Transportation (USDOT), 2026-2029, Grant amount: $750,000.00.
Co-Principal Investigator, "CREST HBCU-RISE: Advancing Theoretical Artificial Intelligence Infrastructure for Modern Data Science Challenges" National Science Foundation (NSF), 2024-2027, Grant amount: $1200,000.00.
Co-Principal Investigator, TN GO" OPTIMA-FLEET: Optimization and Machine-learning Analytics for Freight Logistics Efficiency Leveraging Emerging Technologies" Tennesse Department of Economic and Community Development (TNECD), 2025-2027, Grant amount: $500,000.00.
Principal Investigator, SMART " Leveragaging Advanced Data to Deliver Multi Modal Safety Ph-1" United State Department of Transportation (USDOT), 2023-2025, Grant amount: $175,000.00.
Co-Principal Investigator, Establishment of Instruction and Training Testbed for Cyber Physical Systems Cybersecurity" Honda Coporation, 2025-2026, Grant amount: $100,000.00.
Principal Investigator, TN GO" Enabling Statewide Mobile Lidar for Safe & Efficient Streets" Tennesse Department of Economic and Community Development (TNECD), 2024-2025, Grant amount: $20,000.00.
Co-Principal Investigator, "ICPSLASO: Intelligent Cyber-Physical Systems Lab for Assured and Secure Operation" Department of Defense (DoD), 2024-2025, Grant amount: $339,329.90.
Principal Investigator, CISE-MSI: " Enabling Secured and Artificial Intelligence Assisted Cell-Free Communications" NSF, Division of Computer and Network Systems (CNS), 2022-2024, Grant amount: $157,432.00.
Principal Investigator, TIP: " Collaborative Cloud-Edge Artificial Intelligence in Cyber-physical Systems" NSF, Division for Excellence in STEM (EES), 2022-2024, Grant amount: $399,795.00.
Co-Principal Investigator, FRA-RSI-001: "Preparing Minority Scholars for Railroad-Highway Safety Workforce (RH-SAW)" Federal Railway Administration, 2022-2027, Grant amount: $ 500,000.00.
Co-Principal Investigator, CISE-MSI: "Analytically-based frameworks for AI model verification and improvement in cyber-physical systems" NSF, Division of Computer and Network Systems, 2021-2023, Grant amount: USD 239,848.00.
PUBLICATIONS (Selected):
P1: Hassanzadeh, Amin, Kamrul Hasan, and Anup Nayak. "Criticality analysis of attack graphs." U.S. Patent 11,252,175, issued February 15, 2022.
J1: Amin, A. L., Deo Chimba, and Kamrul Hasan. "Integrating AI and edge computing for advanced safety at railroad grade crossings."Journal of Rail Transport Planning & Management33 (2025): 100501.
J2: Amin, Al, Kamrul Hasan, and M. Shamim Hossain. "Xai-empowered mri analysis for consumer electronic health."听IEEE Transactions on Consumer Electronics听(2024).
J3: Hasan, Kamrul, Sachin Shetty, Md Ullah, Amin Hassanzadeh, and Tariqul Islam. "Criticality-based Optimal Cyber Defense Remediation in Energy Delivery Systems."听 EAI Endorsed Transactions on Security and Safety 听8, no. 28 (2021).
J4: Haider, Majumder, Imtiaz Ahmed, Zoheb Hassan, Kamrul Hasan, and H. Vincent Poor. "LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks."听arXiv preprint arXiv:2506.18293听(2025).
J5: Munir, Md. Shirajum, Sumit Howlader Dipro, Kamrul Hasan, Tariqul Islam, and Sachin Shetty. 2023. "Artificial Intelligence-Enabled Exploratory Cyber-Physical Safety Analyzer Framework for Civilian Urban Air Mobility"Applied Sciences13, no. 2: 755.
B1: Hasan, Kamrul, Sachin Shetty, Amin Hassanzadeh, Malek Ben Salem, and Jay Chen. "Software鈥怐efined Networking for Cyber Resilience in Industrial Internet of Things (IIoT)."听Modeling and Design of Secure Internet of Things听(2020): 453-477.
C1: Amin, Al, Kamrul Hasan, Liang Hong, and Sharif Ullah. "Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI."听 arXiv preprint arXiv:2511.20983 听(2025).
C2: Amin, Al, Kamrul Hasan, Saleh Zein-Sabatto, Liang Hong, Sachin Shetty, Imtiaz Ahmed, and Tariqul Islam. "Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments." In听GLOBECOM 2024-2024 IEEE Global Communications Conference, pp. 2135-2141. IEEE, 2024.
C3: Islam, Tariqul, Faisal Haque Bappy, Md Nafis Ul Haque Shifat, Farhan Ahmad, Kamrul Hasan, and Tarannum Shaila Zaman. "An Efficient and Scalable Auditing Scheme for Cloud Data Storage using an Enhanced B-tree." In听 ICC 2024-IEEE International Conference on Communications , pp. 4590-4595. IEEE, 2024.
For more publications:
HONORS AND AWARDS:
2026听 听 听 听 听 听Silver award for frequent contribution from International Conference on Computing, Networking and Communications (IEEE ICNC 2026)
2025听 听 听 听 听 NOCoE TRB Student Contest winner in TRB 2025 on LiTSMO听 ()
2025听 听 听 听 听 听Impact project award for the project Leveraging Advanced Data to Deliver Multimodal Safety (LADDMS) from ITS Tennessee
2025听 听 听 听 听 听CoE Faculty Excellence Award in Teaching
2019听 听 听 听 听 听Awarded the first position from EPRI in the CREDC summer research challenge.
2018听 听 听 听 听 IEEE Travel grant for Research from IEEE CNS
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PROFESSIONAL CERTIFICATION:
PMI Certified Project Management Professional (PMP# 1460701)
N.B: Dr. Hasan is still hiring. The prospective graduate student may contact mhasan1@tnstate.edu along with their academic Resume, TOFEL/IELTS, and GRE scores.
Research Students
Current Research Team
| Name | Classification | Start Date | Research Area(s) |
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Al Amin
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Graduate: Ph.D | Spring 2023 | Privacy-Preserving AI, Machine Learning, Computer Vision (emphasis on Medical Imaging), Cybersecurity (Learnable Encryption, Block-Wise Scrambling), Vision Transformers (ViT) |
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Ekramul Haque
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Graduate: Master | Spring 2023 | Explainable AI (XAI), Cybersecurity, Network Analysis, Zero-Trust Architecture (ZTA) |
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Tupac Moseley听
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Graduate: Master | Fall 2023 | Privacy-Preserving AI, Homomorphic Encryption, Federated Learning, Computer Vision |
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Md Atiqur Rahman Mallick
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Graduate: Master | Fall 2023 | LiDAR Data Analysis, Machine Learning Methods in Traffic Safety and Traffic Flow Predicition, Roadway Near-Miss Indicident Detection |
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Henry Onyeka
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Graduate: Master | Spring 2024 | Cybersecurity, Network Security, Generalized Adversial Network (GAN), Anomaly Detection in 5G Networks |
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Zeinab Elkhatib |
Graduate: Master | Fall 2024 | Urban Air Mobility Cybersecurity, Reinforcement Learning,Cyberthreat Prediction |
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Adebimpe Adeniran
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Graduate: Ph.D | Fall 2024 | LLMs |
Previous Research Personnel
| Name | Classification | Term Length | Research Area(s) |
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Varshini Guduru
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Graduate: Master | Spring 2022 - Fall 2023 | Control Barrier Functions for ML |
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Anupama Guntu
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Graduate: Master | Spring 2022 - Fall 2023 | Deep Learning, Transfer Learning |
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Daryl Mupupuni
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Graduate: Master | Spring 2022 - Fall 2023 | Deep Learning, Transfer Learning |
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Emmanuel Samson
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Graduate: Master | Spring 2023 - Fall 2024 | Machine Learning Applications on 5G Core Networks, Infrastructure Resources Utilization Optimization (using LSTM and Game Theory Synergy) |
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Walker Williams
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Undergraduate | Fall 2023 - Spring 2024 | Network Security - Border Gateway Protocol (BGP) Attack Mitigation |
Undergraduate Capstone Design Project (B.S.E.E.)
- Omar Abdel, "Capstone Title", Spring 2023
- Tupac Moseley, "Design of Cyber-Threat Learning Dashboard using Intelligent Algorithms", Summer 2023
PROFESSIONAL ACTIVITIES:
鈥 Technical committee member of the Journal IEEE Transaction on Network and Service Management (IEEE TNSM).
鈥 Technical Committee member of multiple IEEE conferences.
鈥⑻ IEEE Sr. member, ComSoc Sr. member, PMI member
COLLABORATORS AND CO-AUTHORS WITHIN PAST 48 MONTHS:
Liang Hong, Lee Keel, M.S. Zein -Sabatto, Ali Sekmen (91成人), Imtiaz Ahmed (Howard University), Sachin Shetty and Md. Shirajum Munir (Old Dominion University), Tariqul Islam (Syracuse University), Md Sharif Ullah (UCA), Sergei Chuprov (UTRGV), H. Vincent Poor (Princeton Univeristy), Md. Zoheb Hassan (Laval University)
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