News

2024

  • October 2024: I received the Google-CAHSI Cybersecurity Curriculum Fellowship to adapt and adopt cybersecurity curriculum at HSIs. Total: 25k
  • September 2024: I have received an NIH AIM-AHEAD ABC-EE grant to work on explainable AI/ML models to predict heart disease outcomes in Chagas Disease. Total: 250k
  • September 2024: Our paper “Simulating Load Sharing for Resource Constrained Devices” published in IEEE Access.
  • September 2024: Welcome to our new PhD student, Aqsa Yousaf!
  • August 2024: Presented our work on "Improving Health Equity in Algorithmic Decision-Making Using Explainable AI" at AIHES 2024.
  • July 2024: Our paper "Evaluating Large Language Models for Enhanced Intrusion Detection in Internet of Things Networks" accepted in IEEE GLOBECOM 2024.
  • June 2024: Our paper “D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications” published in IEEE IoT Journal.
  • April 2024: My Ph.D. student, Paul Agbaje, is awarded the Kelcy Warren Graduate Fellowship for Engineering at UTA, Congratulations Paul.
  • March 2024: Congratulations to my PhD students, Afia Anjum and Paul Agbaje for securing internship offers at Los Alamos National Laboratory!
  • March 2024: Our paper “MCFICS: Model-based Coverage-guided Fuzzing for Industrial Control System Protocol Implementations” has been accepted at IEEE IECON24.
  • March 2024: Our paper "From Weeping to Wailing: A Transitive Stealthy Bus-off Attack" has been accepted at IEEE ITS.
  • Feburary 2024: Hosted a workshop on “Adversarial attacks and the Robustness of Object Detection Algorithms for Autonomous Vehicles" at OurCS@DFW.
  • Feburary 2024: My Ph.D. student, Afia Anjum, won the best Ph.D. Lightning Talk award at the Student Computing Research Festival (SCRF), 2024, Congratulations Afia.
  • Feburary 2024: Our paper “Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication” published in Future Generation Computer Systems.
  • January 2024: Our paper "AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness" has been accepted at VehicleSec '24.
  • January 2024: Our paper "Deadline-Based Class Assignment for Time-Sensitive Network Frame Preemption" has been accepted at ICIT24.

2023

  • December 2023: Our paper “IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning” published in ICMLA '23.
  • December 2023: Our paper “Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning” published in BDCAT '23.
  • November 2023: My Ph.D. students Afia Anjum, Paul Agbaje, and Arkajyoti Mitra, successfully complete their Ph.D. Comprehensive Exam! Congratulations!
  • September 2023: Congratulations to two of my students, Paul Agbaje and Arkajyoti Mitra, for being awarded '2023 Tapia Scholarships' to attend ACM Richard Tapia Celebration of Diversity in Computing Conference.
  • September 2023: I have received an NIH AIM-AHEAD Research Fellowship award to work on improving health equity in algorithm decision-making using explainable AI/ML. Total: 50k
  • July 2023: Our paper “FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing” published in IEEE EDGE '23.
  • May 2023: Congratulations to two of my students, Afia Anjum and Paul Agbaje, for receiving Travel Grant Award to attend 2023 Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week).
  • March 2023: Two short papers have been accepted to the 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).
  • Feburary 2023: My Ph.D. student, Afia Anjum, won the runner-up position for Ph.D. Lightning Talk at the Student Computing Research Festival (SCRF), 2023, Congratulations Afia.
  • Feburary 2023: Hosted a workshop on “Autonomous Vehicles Security" at OurCS@DFW.
  • January 2023: Presented our work on "Towards Mitigating Blackhole Attack in NDN-Enabled IoT" at ICCE 2023.