Publications

  1. A. Siddiqua, S. Liu, R. Iqbal, L. Ross, B. Zweerink, and R. Eskridge, “Information sharing for cooperative robots via multi-agent reinforcement learning,” in Proceedings of the IEEE International Symposium on Robotic and Sensors Environments (ROSE), pp. 1–7, 2024.
  2. A. Siddiqua, S. Liu, A. S. Nipu, A. Harris, and Y. Liu, “Co-evolving multi-agent transfer reinforcement learning via scenario independent representation,” IEEE Access, vol. 12, pp. 99439–99451, 2024.
  3. A. Siddiqua, S. Liu, R. Iqbal, F. A. Irfan, L. Ross, and B. Zweerink, “Tim-marl: Information sharing for multi-agent reinforcement learning in smart environments,” in Proceedings of the IEEE 21st Consumer Communications and Networking Conference (CCNC), pp. 1044–1045, 2024.
  4. S. Chowdhury, D. D. Spandan, T. Bonebrake, Z. Frantsen, and A. Katangur, “To hack or not to hack? Connecting cybersecurity, the IoT, and smart environments to K12 learning experiences,” in Proceedings of the World Congress in Computer Science, Computer Engineering and Applied Computing, pp. 298–313, 2024.
  5. Z. Zan, R. Iqbal, A. Katangur, S. Liu, and D. Piccolo, “Six weeks with ROSE: Building K–12 teacher self-efficacy in computer science through research experiences,” in Proceedings of the IEEE Frontiers in Education Conference (FIE), pp. 1-9, 2024.
  6. D. Bavisetti, S. Zook, N. Dille, M. House, D. B. Hier, and T. Obafemi-Ajayi, “Automated machine learning for Alzheimer's disease using anomaly detection data from smart homes,” presented at IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2024.
  7. A. Siddiqua, S. Liu, K. Mouser, and M. Harris, “Awareness map enabled semi-centralized MARL for multi-robot collaboration,” in Proceedings of the IEEE 22nd Consumer Communications and Networking Conference (CCNC), pp. 1–6, 2025.
  8. F. A. Irfan, C. Behl, and R. Iqbal, “Verbal abuse detection from short conversations,” in Proceedings of the IEEE 22nd Consumer Communications and Networking Conference (CCNC), pp. 1–2, 2025.
  9. T. Obafemi-Ajayi, N. L. Dille, D. Bavisetti, and S. I. Zook, “Integrating machine learning into middle and high school curricula using Alzheimer's disease prediction models,” in Proceedings of the 2025 ASEE Annual Conference and Exposition, 2025.
  10. F. A. Irfan, R. Iqbal, D. Eckstein, and M. Strickland, “CoRe: A comparative study of transformer models for context recognition in smart classrooms,” in Proceedings of the IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 153–158, 2025.
  11. D. Piccolo and R. Iqbal, "Empowering teachers through grant-funded professional development: Insights from the ROSE RET project on sustaining computer science education," Oral Presentation at the 2025 MACTE Fall Conference, October 28, 2025.
  12. Z. Zan, M. A. Tanvir, and R. Iqbal, “Leveraging large language models for teacher feedback analysis in computer science professional development workshops,” submitted to International Journal of Computer Science Education in Schools (IJCSES), 2025.
  13. N. Khalid, M. A. R. Fahad, G. Gammel, M. King, H. Ward, D. Wunsch II, and T. Obafemi-Ajayi, “An Explainable Vision Transformer Model for Multi-label ECG Image Classification,” in Proceedings of the 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2026.
  14. R. U. Shawon, S. Liu, R. Cox, J. Davis, M. Walters, and R. Powers, “Heterogeneous Robots Cooperation via Multi-Agent Reinforcement Learning,” in Proceedings of the International Conference on Control and Robotics Engineering (ICCRE), 2026.
  15. F. A. Irfan, R. Iqbal, and S. Olson, “Actuator Transition Dependency Aware Deep Learning Approach for Actuator State Prediction,” in Proceedings of the 35th International Conference on Computer Communications and Networks (ICCCN), 2026.
  16. M. A. Tanvir, A. Katangur, D. McDaniel, A. Culbertson, T. Belling, and R. Iqbal, “ADSEP: Anomaly Detection using a SHAP-based Pruned Encoder in IoT Network Traffic,” in Proceedings of the 15th International Workshop on Security, Privacy, Trust for Internet of Things at the ICCCN, 2026.
  17. M. A. Tanvir, A. Katangur, D. McDaniel, A. Culbertson, and T. Belling, “Integrating Cybersecurity, Artificial Intelligence, and IoT Research into Rural K-12 Education through the NSF ROSE RET Program,” in Proceedings of the 22nd International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS), 2026.
  18. D. Piccolo, R. Iqbal, L. Ross, and S. Branstetter, “Research-Embedded Professional Development to Sustain Computer Science Integration in Rural Schools,” in Proceedings of the IEEE Frontiers in Education Conference (FIE), 2026.