Shafkat Islam
Title
Assistant Professor
Department
Office
CLO 370, PNW, Hammond, IN
Social Links
Education
Ph.D. – Computer Science, Purdue University, West Lafayette
M.S. – Computer Science & Engineering, University of Nevada, Reno
M.S. – Informatics, Northern Arizona University
B.S. – Electrical & Electronic Engineering, Chittagong University of Engineering & Technology
M.S. – Computer Science & Engineering, University of Nevada, Reno
M.S. – Informatics, Northern Arizona University
B.S. – Electrical & Electronic Engineering, Chittagong University of Engineering & Technology
Research Areas
Agentic AI, AI Security, Cybersecurity, Data Privacy, Quantum Intelligence
Publications
S. Islam, M. H. Chiu, T. Bonjour, R. de Oliveira, B. Bhargava and M. Kejriwal, “A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments,” in IEEE Intelligent Systems, vol. 40, no. 5, pp. 5-15, Sept.-Oct. 2025, doi: 10.1109/MIS.2024.3469574.
M. T. Hossain, S. Badsha, H. La, S. Islam and I. Khalil, “Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning,” in IEEE Transactions on Artificial Intelligence, vol. 6, no. 11, pp. 2922-2939, Nov. 2025, doi: 10.1109/TAI.2025.3540030.
S. Islam, S. Badsha, I. Khalil, M. Atiquzzaman and C. Konstantinou, “A Triggerless Backdoor Attack and Defense Mechanism for Intelligent Task Offloading in Multi-UAV Systems,” in IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5719-5732, 1 April1, 2023, doi: 10.1109/JIOT.2022.3172936.
M. T. Hossain, S. Badsha, H. La, S. Islam and I. Khalil, “Exploiting Gaussian Noise Variance for Dynamic Differential Poisoning in Federated Learning,” in IEEE Transactions on Artificial Intelligence, vol. 6, no. 11, pp. 2922-2939, Nov. 2025, doi: 10.1109/TAI.2025.3540030.
S. Islam, S. Badsha, I. Khalil, M. Atiquzzaman and C. Konstantinou, “A Triggerless Backdoor Attack and Defense Mechanism for Intelligent Task Offloading in Multi-UAV Systems,” in IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5719-5732, 1 April1, 2023, doi: 10.1109/JIOT.2022.3172936.
Biography
Shafkat Islam is an assistant professor and the director of Trustworthy, Robust & Secure Intelligent Systems (Trust-It) lab in the computer science department at Purdue University Northwest. He completed PhD in Computer Science from Purdue University West Lafayette. He is broadly interested in cybersecurity, AI, and edge security. His research focuses on developing robust and trustworthy AI agents and safeguarding critical infrastructures/systems when AI agents are integrated into traditional systems. His research outcomes have been published in venues such as IEEE Intelligent Systems, IEEE Transactions on Artificial Intelligence, IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Network, IEEE WoWMoM, IEEE LCN, IEEE ISGT NA, etc. He was awarded the Purdue Employee Merit Recognition Award in 2024 and recognized as an excellent reviewer by the IEEE Communications Society in 2023.