Prof. Javad Fattahi

Founder and Director of Grid Vue Lab
Co-director of SUNLAB

Prof. Fattahi’s expertise covers Smart-grid equity, distributed energy resources (DER), Digital Twins, software-defined microgrids (micro-utilities), Game theory, complex optimization, e-mobility, and modular power electronics.

Dr. Mikhak Samadi

Ph.D. degree in electrical and computer engineering, from the University of Ottawa, Canada, in 2022. Her research interests include smart grid applications, demand response, game theory, optimization models, machine learning, and data science.

Narges Fatemi

Ph.D. student, She is developing an efficient and enhanced peer-to-peer data exchange system for heterogeneous Distributed Energy Resources (DERs) using autoregressive large language models to address technical, interoperability, and security challenges.

Siavash Hosseini

Ph.D. student, He is developing federated distillation algorithms for heterogeneous DER and energy-community deployments. The work combines parameter aggregation with metadata-aware weighting (e.g., device constraints, data drift, and reliability) to improve robustness, convergence, and scalability while keeping client data local.

Yan Zhang

Ph.D. student, He is working on lightweight, semi-online image-based theft detection for distributed CCTV networks. His research focuses on efficient detection under bandwidth/compute constraints and uses XAI techniques to explain model decisions for auditing and deployment.

Moulay Cherif Louazani

Ph.D. student, His research investigates the integration of affine-efficient neural networks (NNs) into embedded platforms for enhanced hybrid engine drivetrains.

Surbhi Bahri

Ph.D. student, Surbhi is developing Explainable AI (XAI) and Edge Intelligence for adaptable autonomous vehicles, using federated and machine learning models to address challenges related to real-time decision-making, safety, and system transparency in dynamic environments.

Behrad Jamadi

M.Sc. student, He is developing a decentralized charge session management system and an edge OCPP 2.0.1 server compatible with ISO 15118-20, utilizing advanced robust distributed optimization techniques to optimize EV energy resource usage within an energy management system.

Baturay Onural

M.Sc. student, He is developing a modular IoT board designed for EVSE energy management applications, integrating a Wi-SUN module to enable efficient and reliable mesh networking, WebSocket connectivity, and real-time data imputation.

Bahar Pourahmad

M.Sc. student, She is developing a bidirectional active cell balancing system for a hybrid battery and supercapacitor setup, enhanced with model predictive control to manage sudden and high-frequency load demands from the EV powertrain.

Caleb Kojo Eshun

M.Sc. student, He is an M.Sc. student working on grid stability and restoration using Software-Defined Microgrids and data-driven controls. His research focuses on investigating the optimal location and type of virtual inertia in Microgrids.