Research Interests:
Intelligent Systems, Machine Learning, Artificial Intelligence, Cyber-Physical Systems, Robotics, Digital Fabrication
Recent Publications:
- A. Harris, R. Das, and T. Kandil, “A Comparative Survey of AI-Driven Energy Demand Forecasting Across Diverse Sectors,” 2025 57th North American Power Symposium (NAPS), Storrs, CT, USA, 2025, pp. 1-6, https://doi.org/10.1109/NAPS66256.2025.11272390
- R. Das, A. Harris, and T. Kandil, “Convolutional Neural Network (CNN) Based Fault Detection and Classification (FDC) Models in Power Systems: A Comparative Review,” 2025 57th North American Power Symposium (NAPS), Storrs, CT, USA, 2025, pp. 1-6, https://doi.org/10.1109/NAPS66256.2025.11272308
- T. Kandil, A. Harris, and R. Das, “Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays,” in IEEE Access, vol. 13, pp. 104828-104843, 2025, https://doi.org/10.1109/ACCESS.2025.3580052.
- Adam Harris and Hugh Jack. 2024. An Approach for a Project-Based Digital Logic Design Course Using an Innovative Simulator. In Proceedings of the Workshop on Computer Architecture Education (WCAE ’23). Association for Computing Machinery, New York, NY, USA, 48–54. https://doi.org/10.1145/3605507.3610628
- Jack, H., & Harris, A. (2023, June), IoT in Project-Based Learning Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. 10.18260/1-2–43884, https://peer.asee.org/43884