Research Labs
Outreach
The following graphic highlights the many outcomes that our AI driven cybersecurity research will produce.
Grants and Funding
- “A Trustworthy and Privacy Preserving Framework for Latency-sensitive Video enabled Health Incident-Response Applications,” NSF EiR, Award # 2401928, U. Ghosh (PI), Total Budget: $611,959, Status: Funded (2024-2027).
- “Efficient Data Communication and Processing for Intelligent Medical Systems with Edge-Cloud Interplay,” NSF CISE-MSI DP CNS Award # 2219741, Total Budget: $600,000, U. Ghosh (PI), Status: Funded (2022-2025).
- “CAP: Capacity Building for Building AI Institute for Trustworthy AI in Medical Systems (TAIMS),” NSF CAP-2334391, U. Ghosh (Co-PI), Total Budget: $395,000, Status: Funded (2023-2025).
- “ACS Summer Data Science Academy: Promoting Data Science with Robotics and NASA Geospatial and Extraterrestrial Big Data for Grades 9-12 (DS Academy),” Total Budget: $418,448.00, Eugene Levin (PI), Status: Funded (2022-2026).
- “Course Development and Hands-on Laboratory Experiments in Cybersecurity and Networking,” NSA Cyber-security Education Diversity Initiative (CEDI) program, Total Budget: $58,200, U. Ghosh (Co-PI), Status: Funded (2023-2024).
- “ForeCare – A Federated Learning based Edge-Cloud Framework for Heart Disease Risk Prediction,” Novartis TMCF, Total Budget: $25,000, U. Ghosh (PI), Status: Funded (2023-2024).
- “CyberAI: An Open & Interactive Training Platform on AI and Cybersecurity for Underrepresented Communities”, The South Big Data Innovation Hub, Total Budget: $10,000, U. Ghosh (PI), Status: Funded (2024).
Journals
- D. Das, P. Chaterjee, U. Ghosh, and B. Blakely, “Secure and Privacy Aware Data Sharing Approach for Smart Electric Vehicles,” in IEEE Consumer Electronics Magazine, 2025 (IF: 3.7).
- D. Das, P. Chatterjee, S. Banerjee, U. Ghosh, and M. S. Al-Numay, “Blockchain-Enabled Federated Learning for Security and Privacy in Consumer Electronics Devices,” in IEEE Transactions on Consumer Electronics, 2025 (IF: 4.3).
- P. Chatterjee, D. Das, D. B. Rawat, U. Ghosh, S. Banerjee and M. S. Al-Numay, “Digital Twins and Blockchain Fusion for Security in Metaverse-Driven Consumer Supply Chains,” in IEEE Transactions on Consumer Electronics, vol. 70, no. 3, pp. 5688-5697, Aug. 2024 (IF: 4.3).
- P. Chatterjee, D. Das, D. B. Rawat, Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements, Future Generation Computer Systems, Volume 158, 2024, pp.410-426 (IF:6.2).
- P. Chatterjee, D. Das and D. B. Rawat, “Federated Learning Empowered Recommendation Model for Financial Consumer Services,” in IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 2508-2516, Feb. 2024. (IF: 4.3).
- M. K. Mondal, S. Banerjee, D. Das, U. Ghosh, M. S. Al-Numay, and U. Biswas, “Towards Energy-Efficient and Cost-Effective Task Offloading in Mobile Edge Computing for Intelligent Surveillance Systems,” in IEEE Transactions on Consumer Electronics, 2024 (IF: 4.3).
- D. Cao, M. Wu, N. Gu, R. S. Sherratt, U. Ghosh, and P. K. Sharma, ”Joint Optimization of Computation Offloading and Resource Allocation Considering Task Prioritization in ISAC-Assisted Vehicular Network,” in IEEE Internet of Things Journal, 2024 (IF: 10.6).
- L. Zhang, J. Xu, P. Vijayakumar, P. Sharma, and U. Ghosh, “Homomorphic Encryption-based Privacy-preserving Federated Learning in IoT-enabled Healthcare System”, in IEEE Transactions on Network Science and Engineering, 2023, (Best Paper Award) (IF: 6.7).
Conference Papers
- P. Chatterjee and D. B. Rawat, “Security Enhanced Framework for Network Access Control in Distributed Software-Defined Networks,” 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA, 2024, pp. 1816-1821.
- P. Chatterjee, D. Das, and D. B. Rawat, “A Generative AI Approach for Ensuring Data Integrity Security Resilience in Fintech Systems,” 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Philadelphia, PA, USA, 2024.
- A. Mukherjee, P. Paikrao, U. Ghosh, and H. Namazi, “Emotion detection for smart healthcare applications: A CNN based Maximum A Posterior Estimator of Magnitude-Squared Spectrum approach,” 2024 IEEE Global Communications Conference: Selected Areas in Communications: E-Health (Globecom2024 SAC EH), Cape Town, South Africa, Dec, 2024.
- U. Ghosh, L. Njilla, D. Das, and E. Levin, “FLAS: A Federated Learning Framework for Adaptive Security in Edge-Driven UAV Networks,” 2024 IEEE International Conference on Communications (ICC): SAC Aerial Communications Track (IEEE ICC’24 – SAC-10 AC Track), Denver, USA, 2024.
- U. Ghosh, L. Njilla, S. Shetty, and C. A Kamhoua, “A Decentralized Smart Grid Communication Framework Using SDN-enabled Blockchain,” 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, 2024.
- U. Ghosh, D. Das, P. Chatterjee, N. Shillingford, “Federated Edge-Cloud Framework for Heart Disease Risk Prediction Using Blockchain,” Proceedings of the 6th IFIP Advances in Information and Communication Technology, 2023, (Best Paper Award).
Workshops
- D. Basu, H. Patil, U. Ghosh, and R. Datta, “SoftShield: Softwarized Tactical Network for Mission Critical Military Applications,” 2024 IEEE Globecom Workshops (GC Wkshps): BlockSecSDN: Blockchain for Secure Software-defined Networking in Smart Communities, Cape Town, South Africa, Dec, 2024.
- D. Das, L. C. Landrum, P. Chatterjee, and U Ghosh, “A Scalable Blockchain Framework for Secure Data and Computational Resource Management in SDN,” 2024 IEEE Globecom Workshops (GC Wkshps): Block-SecSDN: Blockchain for Secure Software-defined Networking in Smart Communities, Cape Town, South Africa, Dec, 2024.
- D. Das, U. Ghosh, N. Evans, and S. Shetty, “Blockchain-Enabled Secure Device-to-Device Communication in Software-Defined Networking,” IEEE ICC 2024 Workshop on BlockSecSDN: Blockchain for Secure Software-defined Networking in Smart Communities, Denver, USA, 2024 (Best Paper Award).
- D. Das, L. Njilla, U. Ghosh, E. Levin, and S. Shetty, “An Edge-Cloud Approach for Dynamic Resource Allocation in Drone Communication Networks,” IEEE INFOCOM Workshop: DroneCom 2024: 7th International Workshop on Drone-Assisted Wireless Communications for 5G and Beyond, Vancouver, Canada, 2024.
Posters
- D. Das, U. Ghosh, Multi-Layered Privacy Protection Approach for Electronic Health Record, RCMI National Conference 2025, March 16-19, 2025.
- U Ghosh, Blockchain-empowered Approach towards Sustainable and Resilient Smart Grids, AFRL, Rome, NY, July 2023.
Selected Invited Talks or Keynote Presentations
- U Ghosh, “Revolutionizing Smart Healthcare: An Edge-Cloud Framework for Secure Data Sharing and Emotion Detection”, 2024 Workshop on AI & Cybersecurity (Critical Infrastructure Protection), NCAC, Cybersecurity Education Innovation, University of Memphis, TN, November 8, 2024.
- U. Ghosh, “Empowering Secure and Privacy-Preserving Data Sharing in Intelligent Healthcare Systems,” BlockSecSDN’2024: 4th International Workshop on Blockchain for Secure Software-defined Networking in Smart Communities in conjunction with IEEE ICC 2024, June 13, Denver, CO, USA.
- U Ghosh, Federated Edge-Cloud Framework for Heart Disease Risk Prediction Using Blockchain,” in 6th IFIP-IoT, 2023.
- U Ghosh, Blockchain-assisted Federated Learning based Edge-Cloud Framework for Secure and Privacy-preserving Data Sharing in Smart Grid, Argonne National Lab, DOE, August 19, 2024.
- U Ghosh, Federated Learning-based SDN Integrated Edge-Cloud Framework for Smart Grid Networks, Argonne National Lab, DOE, September 22, 2023.
- U Ghosh, “Security and Privacy in Cyber-Physical Systems,” Tech Talk’23, Air Force Research Laboratory (AFRL), Griffiss Institute, Rome, NY, June 2, 2023.
- U Ghosh, “Secure Softwarized Next Generation Networking for CPS and IoT,” The 2022 Southeast Symposium on Contemporary Engineering Topics (SSCET), University of Arkansas at Little Rock, 2022.