Kamrul Hasan

Assistant Professor

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–empowered 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.


 

Dr. Hasan

Office: ET-232 Torrence Hall
Phone:
615-963-7539  
Fax: 615-963-2165
Email
: mhasan1@tnstate.edu

 

EDUCATION:

2016-2020 Ph.D., Computational Modeling and Simulation Engineering, Old Dominion University, Norfolk, VA.

2014-2016 M.S., Computer Information and Systems Engineering, Tennessee State University, 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, Tennessee State University, Nashville, TN.
Aug. 2016- Dec. 2020: Research Scientist, Virginia Modeling and Simulation Center, Old Dominion University, Suffolk, VA, USA 

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." IEEE Transactions on Consumer Electronics (2024).

J3: Hasan, Kamrul, Sachin Shetty, Md Ullah, Amin Hassanzadeh, and Tariqul Islam. "Criticality-based Optimal Cyber Defense Remediation in Energy Delivery Systems."  EAI Endorsed Transactions on Security and Safety  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." arXiv preprint arXiv:2506.18293 (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. https://doi.org/10.3390/app13020755

B1: Hasan, Kamrul, Sachin Shetty, Amin Hassanzadeh, Malek Ben Salem, and Jay Chen. "Software‐Defined Networking for Cyber Resilience in Industrial Internet of Things (IIoT)." Modeling and Design of Secure Internet of Things (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."  arXiv preprint arXiv:2511.20983  (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 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  ICC 2024-IEEE International Conference on Communications , pp. 4590-4595. IEEE, 2024.

For more publications: https://scholar.google.com/citations?user=KYNWQ1UAAAAJ&hl=en&oi=sra

HONORS AND AWARDS:

8/2019           Awarded the first position from EPRI in the CREDC summer research challenge.

5/2018          IEEE Travel grant for Research from IEEE CNS

PROFESSIONAL CERTIFICATION:

PMI Certified Project Management Professional (PMP# 1460701)


STUDENT SUPERVISION

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)

Al Amin

Al Amin Headshot

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)

Ekramul Haque

Ekramul Haque Headshot

Graduate: Master Spring 2023 Explainable AI (XAI), Cybersecurity, Network Analysis, Zero-Trust Architecture (ZTA)

Tupac Moseley 

Headshot of Tupac Moseley

Graduate: Master Fall 2023 Privacy-Preserving AI, Homomorphic Encryption, Federated Learning, Computer Vision

Md Atiqur Rahman Mallick

Atiqur Mallick Headshot

Graduate: Master Fall 2023 LiDAR Data Analysis, Machine Learning Methods in Traffic Safety and Traffic Flow Predicition, Roadway Near-Miss Indicident Detection

Henry Onyeka

Henry Onyeka Headshot

Graduate: Master Spring 2024 Cybersecurity, Network Security, Generalized Adversial Network (GAN), Anomaly Detection in 5G Networks

Zeinab Elkhatib

TSU_Tiger

Graduate: Master Fall 2024 Urban Air Mobility Cybersecurity, Reinforcement Learning,Cyberthreat Prediction

Adebimpe Adeniran

TSU Tiger

Graduate: Ph.D Fall 2024 LLMs



Previous Research Personnel

Name Classification Term Length Research Area(s)

Varshini Guduru

Varshini Guduru Headshot

Graduate: Master Spring 2022 - Fall 2023 Control Barrier Functions for ML

Anupama Guntu

Anupama Guntu Headshot

Graduate: Master Spring 2022 - Fall 2023 Deep Learning, Transfer Learning

Daryl Mupupuni

Daryl Mupupuni Headshot

Graduate: Master Spring 2022 - Fall 2023 Deep Learning, Transfer Learning

Emmanuel Samson

Emmanuel Samson Headshot

Graduate: Master Spring 2023 - Fall 2024 Machine Learning Applications on 5G Core Networks, Infrastructure Resources Utilization Optimization (using LSTM and Game Theory Synergy)

Walker Williams

Walker Williams Headshot

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:

• Technical committee member of the Journal IEEE Transaction on Network and Service Management (IEEE TNSM).

• Technical Committee member of multiple IEEE conferences.

•  IEEE member, ComSoc member, PMI member

COLLABORATORS AND CO-AUTHORS WITHIN PAST 48 MONTHS:

Liang Hong, Lee Keel, M.S. Zein -Sabatto, and  Deo Chimba (Tenn. State Univ.), Imtiaz Ahmed (Howard University), Sachin Shetty and Md. Shirajum Munir (Old Dominion University), Tariqul Islam (Syracuse University)