I am always interested in having enthusiastic and passionate students in my lab if there are openings. Students in my lab will be exposed to a variety of techniques from many disciplines smart power grids, microgrids, renewable forecasting, PV panel cleaning, intelligent manufacturing systems, and mixed-integer learning programming among others. Email me at email@example.com to inquire about research opportunities.
Operation of Power and Energy Systems (founded by NSF, DoE and ISO-NE)
My lab is primarily interested in the operation of power and energy systems, i.e., management and control of power generation, transmission, distribution, and consumption systems. This field involves understanding the technical and economic aspects of producing and delivering electricity, ensuring the reliability and stability of the power grid, and optimizing energy use. The operation of power and energy systems includes a range of activities, such as monitoring and controlling power generation facilities, managing energy storage systems, overseeing the distribution and transmission of electricity, and coordinating the use of renewable energy sources. It also involves managing demand response programs and implementing measures to reduce energy consumption and greenhouse gas emissions. A variety of tools and techniques are involved, including advanced analytics, machine learning, and optimization algorithms, to improve the efficiency and performance of power and energy systems. With the increasing demand for clean energy and the integration of renewable energy sources into the power grid, the operation of power and energy systems has become a critical field for ensuring the sustainability and reliability of our energy infrastructure.
Scheduling of Manufacturing Systems
My lab is also interested in the scheduling of manufacturing systems, i.e., the planning and management of production processes in manufacturing facilities. It focuses on developing efficient and effective scheduling strategies to optimize the use of resources, minimize lead times, and reduce costs. The scheduling of manufacturing systems involves a range of activities, including determining production schedules, allocating resources, managing inventory levels, and ensuring that production runs smoothly. It also involves identifying potential bottlenecks in the production process and developing contingency plans to address them. A variety of tools and techniques are involved, including mathematical modeling, simulation, and optimization, to develop scheduling strategies that improve efficiency and reduce costs. The scheduling of manufacturing systems is critical for ensuring that manufacturing operations run smoothly and that products are produced on time and at a reasonable cost. It is an essential component of supply chain management and is becoming increasingly important in today’s highly competitive and rapidly changing manufacturing environment.
I would like to thank the National Science Foundation (NSF), the RIT Kate Gleason College of Engineering (KGCOE), the RIT Office of the Vice President for Research (OVPR), Brookhaven National Laboratory (BNL) under the Department of Energy (DoE), ISO-New England (ISO-NE), Midcontinent ISO (MISO), ABB, and Micatu, Inc. for financial support. I would also like to thank all of my internal and external collaborators, and undergraduate and graduate students for their wonderful contributions to the various projects in my lab.
2020 Outstanding reviewer for the IEEE Transactions on Power Systems
2020 Best Transactions Paper Award, IEEE Transactions on Automation Science and Engineering
2019 Connecticut Technology Council Women of Innovation Finalist
2015 Doctoral Dissertation Fellowship
2015 and 2016 Summer Fellowship for Advanced Graduate Students Studies