Farishta Rahman
Farishta Rahman
Instructor
Department
Beacom College of Computer & Cyber Sciences
Education
M.S. Electrical Engineering, University of North Dakota
B.Sc., Military Institute of Science and Technology
Biography
Farishta Rahman is an Instructor at Dakota State University, where she teaches computer science and helps students build practical skills with confidence. Beyond her technical work, she enjoys mentoring students, judging science fairs, and bringing a creative, hands-on approach to the classroom.
Contact
Office Location: East Hall
Phone: (605) 256-5838
Email
- Oberg, K., Srinivas, A., Rahman, F., Wang, Z., & Ranganathan, P. (2023). Strengthening Grid Resilience: Lessons from the Texas Power Blackout and Implications. 2023 North American Power Symposium (NAPS), 1–6.
- Hassan, T. J., Jangula, J., Ramchandra, A. R., Sugunaraj, N., Chandar, B. S., … Rahman, F. (2024). UAS-guided Analysis of Electric and Magnetic Field Distribution in High-voltage Transmission Lines (Tx) and Multi-stage Hybrid Machine Learning Models for Battery Drain Estimation. IEEE Access, 12, 82289–82317.
- Rao, S. P., Rahman, F., & Ranganathan, P. (2024). Sag Measurement and Quantification in Transmission Lines: A Review. 2024 IEEE International Conference on Electro Information Technology (eIT).
- Rahman, F., Hassan, T. J., & Ranganathan, P. (2024). Predicting Power Outages from Ice Storms Using Machine Learning Models with SHAP Interpretability. 2024 56th North American Power Symposium (NAPS), 1–7.
- Rahman, F., Hassan, T. J., Ramchandra, A. R., & Ranganathan, P. (2024). Predictive Modeling for Safe Navigation of UAVs Near High Voltage Transmission Lines. 2024 7th International Conference on Electrical Engineering and Green Energy.