Students

Leila Chebbo

Leila Chebbo, Ph.D. Candiate

Leila Chebbo is a Ph.D. student and research assistant with a strong background in energy studies and engineering management. She earned her Master of Science in Energy Studies and Master of Engineering in Engineering Management from the American University of Beirut in 2020 after completing her Bachelor of Engineering in Electric Power and Machines Engineering from Beirut Arab University in 2017.

Leila is passionate about advancing the field of energy and her research interests lie in microgrid and power system modeling, operation, resiliency, and electricity market design.

Naranjan Raghunathan

Niranjan Raghunathan, Graduate Student Candidate

Niranjan Raghunathan is a graduate student who is serving as a Research and Teaching Assistant. He earned his Bachelor of Science in Engineering Physics from the University of Connecticut, Storrs, CT in 2014.

Niranjan's research interests lie in optimization problems in power systems and other related fields. He has been actively involved in research and teaching, working on various projects related to these topics.

Altan Unlu

Altan Unlu, Graduate Student Candidate

Altan Unlu is a graduate student currently serving as a Research and Teaching Assistant since Fall 2018. He completed his Master of Science in Electrical and Computer Engineering from George Washington University, Washington DC, USA in 2018 after earning a Bachelor of Science in Electrical and Computer Engineering from the University of Gaziantep, Gaziantep, Turkey in 2015.

Altan's research interests lie in the field of renewable energy and load forecasting, as well as power system optimization with high penetration DERs.

Jianghua Wu

Jianghua Wu, Graduate Student Candidate

Jianghua Wu is a graduate student currently working as a Research Assistant since Fall 2018. He completed his Bachelor of Science in Building Electricity and Intelligence from Shenyang Jianzhu University, Shenyang, China in 2018.

Jianghua's research interests lie in the field of power system optimization, operation optimization of microgrids and distributed energy systems, as well as smart power systems with machine learning.