Lab Members

Presented below, is an overview of each GrID Lab member along with their respective research interests. Feel free to click on ‘more info‘ or their picture to gain further insight into their backgrounds, access their LinkedIn profiles, or explore their publications on Google Scholar.

Postdoctoral Scholars and Project Scientists

Adil Khurram

more info

akhurram [at] ucsd [dot] edu

Research: Optimization and control of Distributed Energy Resources (DERs), statistical electrical load modeling, and forecasting of renewable energy resources.

Kohei Murakami

more info

k1murakami [at] ucsd [dot] edu

Research: Optimization, cybersecurity, and control of power systems and inverter resource-based microgrids.

Muhammad Mansoor

more info

mumansoor [at] ucsd [dot] edu

Research: Model Predictive Control based supervisory microgrid controller for optimization of multi-energy systems.

Doctoral Candidates and Doctoral Students

more info

ccortesa [at] ucsd [dot] edu

Research: Solar resource assessment, solar forecasting, and distributed optimization and control of DERs

more info

m1murali [at] ucsd [dot] edu

Research: Distributed control, optimization, power grids with a high share of renewable and DERs, and optimal control for battery energy storage systems.

more info

rgreenou [at] ucsd [dot] edu

Research: Applications of decentralized/distributed optimal power flow (OPF) to extreme weather events.

more info

yic002 [at] ucsd [dot] edu

Research: Optimal Battery Energy Storage System (BESS) dispatch for demand charge management and energy market participation, Electric Vehicles (EV) flexibility, and optimal EV scheduling for load shedding and marginal CO2 emission reduction.

more info

avghosh [at] ucsd [dot] edu

Research: Application of control, probability theory, and convex optimization for smart charging/discharging of EVs and batteries.

more info

gmcclone [at] ucsd [dot] edu

Research: Forecasting and control of DERs, and implementation and control of microgrids.

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mbenayed [at] ucsd [dot] edu

Research: Convex optimization, reinforcement learning (RL), renewable energy integration, and environmental justice.

more info

chz056 [at] ucsd [dot] edu

Research: Optimization, controls, machine learning, and energy systems.

more info

bepierce [at] ucsd [dot] edu

Research: Renewable energy and data-driven methods.

more info

yig031 [at] ucsd [dot] edu

Research: Energy optimization, EV charging, machine learning, solar forecasting, and control of DERs.

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