Hadia Sajjad

Teaching Fellow

MS - Electrical Engineering, New York University, USA

  • hadia.sajjad@itu.edu.pk

RESEARCH INTERESTS

Her research interests include the steady-state and transient analyses of power systems, distributed generation, renewable energy systems, DC micro-grids and smart grids.

Biography

Hadia completed her Masters in Electrical Engineering from Tandon School of Engineering at New York University (2014-2016) as a Fulbright exchange scholar. Hadia was affiliated with Power Lab at Tandon School of Engineering where she closely studied DC micro grids in reference to their contribution to minimize the system harmonics. During her Bachelor’s in Electrical Engineering from University of Engineering and Technology Lahore, her focus was on innovation in energy production from non-conventional energy sources.

  • [1]      A. Rehman et al., “Bridging the Divide: A Strategic Mapping Framework for Natural Science Learning Outcomes and Engineering Graduate Attributes,” in IEEE Global Engineering Education Conference (EDUCON), 2026.
  • [2]      H. Sajjad et al., “Reimagining the Teaching of Complex Variables and Transforms: A Constructivist, Project-Based Approach,” in IEEE Global Engineering Education Conference (EDUCON), 2026.
  • [3]      M. S. Khalid, I. S. Quraishi, H. Sajjad, H. Yaseen, A. Mehmood, and M. M. U. Rahman, “A low-cost PPG sensor-based empirical study on healthy aging based on changes in PPG morphology,” Physiol. Meas., 2025.
  • [4]      H. Sajjad, M. Zubair, F. Batool, T. Tauqeer, I. Javed, and M. Q. Mehmood, “Engineering the Right Start: Project Suitability Index Inclusion in Capstone Project Execution Cycle,” in IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2025.
  • [5]      S. Iqbal, M. Nasir, M. F. Zia, K. Riaz, H. Sajjad, and H. A. Khan, “A novel approach for system loss minimization in a peer-to-peer energy sharing community DC microgrid,” Int. J. Electr. Power Energy Syst., vol. 129, p. 106775, 2021.
  • [6]        S. Hassan, H. Sajjad, and M. M. U. Rahman, “Power Imbalance Detection in Smart Grid via Grid Frequency Deviations: A Hidden Markov Model Based Approach,” in IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1–5. doi: 10.1109/VTCFall.2018.8690896.

  • Fulbright Scholarship 2014