Ms. Umbereen Bano Sayyeda | Electrical Energy | Best Researcher Award
Researcher at Massachusetts Institute of Technology, Cambridge, United States
Professional Profiles
Education and Training
MS in Electrical Engineering (Controls) National University of Science and Technology (NUST) 05/09/2015 – 14/01/2019 | Karachi, Pakistan Major Subjects: Linear and Nonlinear Control Systems, Electrical Machines, Programming Languages, Advanced Embedded Systems, Digital Signal Processing. Thesis: Design and Analysis of Photovoltaic-Based Microgrid using Varying Maximum Power Tracking Controllers. CGPA: 3.9/4.0 BE in Electronics Engineering NED University of Engineering & Technology (NEDUET) 01/01/2011 – 01/05/2015 | Karachi, Pakistan Major Subjects: Electrical Circuits, Electrical Machines, Programming Languages, Power Electronics, Feedback Control Systems. Thesis: Design and Development of Microcontroller-Based Control Panel for Spot Welding Machine. CGPA: 3.8/4.0
Work Experience
Researcher Massachusetts Institute of Technology 19/04/2024 – Current | Cambridge, United States Visiting student and researcher at the Laboratory for Information and Decision Systems (LIDS). MIT Profile R&D Project Manager for MACH Control and Protection Hitachi Energy 01/04/2024 – Current | Västerås, Sweden Lead and develop R&D MACH SW Embedded team, contributing to technical development of next-generation Control & Protection solutions. Foster a collaborative team culture and support agile leadership. Set individual targets, ensure regular follow-up, and foster a performance culture. Maintain competency plans and manage hiring and onboarding processes. Uphold Hitachi Energy’s core values of safety and integrity. PhD Researcher KTH Royal Institute of Technology 09/11/2019 – Current | Stockholm, Sweden Collaborate with Vattenfall, Svenska kraftnät, KTH, and Uppsala University on a SweGRIDS project. Perform real-time rotor angle instability monitoring using newly developed algorithms. Investigate rotor angle stability techniques using PMU data and apply control algorithms.
Research Focus
Sayyeda Umbereen’s research is primarily focused on enhancing the stability and efficiency of power systems. Her work includes the comparative analysis of real-time transient stability assessment techniques, as published in the 2022 North American Power Symposium. Additionally, she has conducted performance analyses of various Maximum Power Point Tracking (MPPT) controllers for photovoltaic microgrids, emphasizing the Perturb and Observe, Incremental Conductance, and Robust Sliding Mode methods. Her research aims to improve the real-time monitoring and control of power systems, ensuring stability and efficiency, particularly in renewable energy applications like large-scale solar power plants.
Publications
- A Comparative Analysis Of Techniques For Real-Time Transient Stability Assessment, Publication date: 2022.
- Performance Analysis of Perturb and Observe, Incremental Conductance and Robust Sliding Mode MPPT Controllers for a 500KW PV Based Microgrid Using Actual Solar Irradiance Data, Publication date: 2019.