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Kamrul Hasan
Assistant Professor
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Dr. Hasan is an Assistant Professor of Electrical and Computer Engineering (ECE) Department. His research interest includes Cyber-Physical Systems (CPS), CPS Security, Computer networks and security; Software enabled network security, Machine Learning (ML), and Artificial Intelligence (AI) empowered automation in cybersecurity. Since 2020, he has worked as PI/Co-PI for four research projects funded by the National Science Foundation (NSF), the Federal Railway Authority, and the Electric Power Research Institute (EPRI). He authored and co-authored 17 peer-reviewed journal/conference papers, one book chapter, and one US patent.
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Office: ET-232 Torrence Hall
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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, Tennessee State University, Nashville, TN.
2001-2006 B.Sc., EEE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
EXPERIENCE:
Academic Experience
Jan. 2021- present, Assistant Professor, Department of Electrical and Computer Engineering, Tennessee State University, Nashville, TN.
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
1. 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.
2. 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.
3. 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.
4. 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:
Patent
1. Hassanzadeh, Amin, Kamrul Hasan, and Anup Nayak. "Criticality analysis of attack graphs." U.S. Patent 11,252,175, issued February 15, 2022.
Journal
1. 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).
2. 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
Book Chapter
1. 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.
Conference
1. Hasan, Kamrul, Sachin Shetty, Tariqul Islam, and Imtiaz Ahmed. "Predictive Cyber Defense Remediation against Advanced Persistent Threat in Cyber-Physical Systems." In 2022 International Conference on Computer Communications and Networks (ICCCN) , pp. 1-10. IEEE, 2022.
2. 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) |
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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
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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
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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
- Zeinab Elkhatib, "Capstone Title", Spring 2024
Master Thesis (M.S. in CISE)
- Varshini Guduru, "Thesis Title", Fall 2023
- Anupama Guntu, "Thesis Title", Fall 2023
- Daryl Mupupuni, "Thesis Title", Fall 2023
- Emmanuel Samson, "Thesis Title", Fall 2024
- Ekramul Haque, "Thesis Title", Fall 2024
Doctoral Dissertation (Ph.D in ENCS)
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)