Faculty Members

Michael (Miki) Lustig   Michael (Miki) Lustig is a slightly above average Professor in EECS with well below average sense of humor. He joined the faculty of the EECS Department at UC Berkeley in Spring 2010. His research focuses on computational imaging methods in medical imaging, particularly Magnetic Resonance Imaging (MRI).

Staff

	Karthik Gopalan   Karthik is a Staff Scientist at MikGroup, UC Berkeley EECS. He completed his PhD in EECS at UC Berkeley with a thesis on "Anatomy Inspired Hardware for Magnetic Resonance Imaging" and now works on MRI phantom development and hardware design.
	Izabel Wu   Izabel is a Staff Scientist at MikGroup, UC Berkeley EECS. She works on MRI phantom development and hardware design.

Postdocs and Visiting Scholars

	Fan Lam   Fan is a visiting professor from the University of Illinois Urbana-Champaign (UIUC). He develops integrative physics-based and computational-powered approaches for multidimensional, quantitative imaging, with applications to studying biochemical/molecular basis of brain function and disease.
	Ekin Karasan   Ekin is a Postdoctoral Scholar at UC Berkeley EECS. Her research centers on developing novel MRI methods to study brain physiology, with a focus on non-invasive techniques that can trace venous blood flow back to its source along with developing innovative acquisition techniques and flexible hardware for MRI.
	Gustavo Perez    (Co-advised with Stella Yu) Gustavo is a Postdoctoral Scholar at UC Berkeley EECS and a member of the Berkeley AI Research (BAIR) Lab working with Stella Yu and Miki Lustig. His interests lie in computer vision and machine learning focuses on finding effective ways to combine human and computational effort to facilitate accurate scientific measurement in large datasets.
	Philippa Krahn    (Co-advised with Chunlei Liu) Philippa is a Postdoctoral Scholar at UC Berkeley EECS. Her research focuses on investigating motion sensing techniques for MRI and ultra-high field structural brain MRI.

PhD Students

	Alexander Chou    (Co-advised with Rikky Muller) Alex is a PhD student in the EECS department at UC Berkeley. He received his undergraduate degree in EECS also from UC Berkeley in 2023. His interests include analog/mixed-signal ICs for medical devices, neural interfaces, and implantables.
	Alfredo De Goyeneche    (Co-advised with Stella Yu) Alfredo is a PhD candidate in the EECS at UC Berkeley and a member of the Berkeley AI Research (BAIR) Lab, co-advised by Stella Yu. He received his B.S. in electrical engineering from Pontificia Universidad Catolica de Chile in 2018. His research interests include deep learning, computer vision, robotics, reinforcement learning, medical imaging, and MRI.
	Atakan Topcu   Atakan is a PhD student in the EECS at UC Berkeley and a member of the Berkeley AI Research (BAIR) Lab. His interests are generative AI, representation learning, computational imaging, and inverse problems, with a strong focus on Magnetic Resonance Imaging (MRI).
	Hossein Momeni   Hossein is a PhD student in the EECS at UC Berkeley and a member of the Berkeley AI Research (BAIR) Lab. His interests are unsupervised segmentation and classification, with a strong focus on Magnetic Resonance Imaging (MRI).
	Julian Maravilla    (Co-advised with Ana Claudia Arias) Julian is a PhD candidate in the EECS Department at UC Berkeley. He graduated from UC Santa Barbara in 2020 with a degree in Electrical Engineering. He is interested in MRI receiver coils, radio frequency (RF) circuits, and signal processing.
	Naz Khairallah    (Co-advised with Ana Claudia Arias) Naz is a PhD student in the EECS Department at UC Berkeley. He is interested in conformable RF receiver coils and motion sensing in MRI systems, combining RF Hardware and Signal Processing.
	Rinni Bhansali   Rinni is a PhD student in the EECS department at UC Berkeley. She received her BS in Electrical Engineering & Math from Stanford in 2023. She is interested in clinical translation, motion correction for MRI, and signal processing.
	Shreya Ramachandran   Shreya is a PhD student in the EECS department at UC Berkeley. She received her B.S. in electrical engineering at Caltech in 2019. Her research interests include signal processing, MRI acquisition and reconstruction methods.
	Shruthi Ravichandran    (Co-advised with Jun-Chau Chien) Shruthi is a PhD student in the EECS at UC Berkeley. Her research interests include point-of-care diagnostics, electromagnetics-based biosensing, spectroscopy, microfluidics, and accessible healthcare.
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MS Students

	Anjo Pagdanganan   Anjo is an MS student in the EECS at UC Berkeley.
	Divya Ramesh   Divya is an MS student in the EECS at UC Berkeley.
	Jack Kang   Jack is an MS student in the EECS at UC Berkeley.

Undergraduate Students

Shoumik Roychowdhury   Shoumik is an undergraduate in the EECS at UC Berkeley.

PhD/Postdoc Alumni

	Biqi Rebekah Zhao    (Co-advised with Rikky Muller) PhD, EECS (Next: Posdoc at Brown University) Thesis: " Miniature Wireless Sensor Implant with Data Communication and Localization via Magnetic Resonance Imaging "
	Suma Anand   PhD, EECS (Next: ML R&D at Ceribell) Thesis: " Motion Sensing and Correction in Magnetic Resonance Imaging with Radio Frequency Signals "
	Efrat Shimron   Postdoc, EECS (Next: Faculty at Technion - Israel Institute of Technology)
	Alan Dong   PhD, EECS (Next: Apple) Thesis: " Metal Pad Sensing Theory, Application, Design, and Algorithms "
	Ke Wang    (Co-advised with Stella Yu) PhD, EECS (Next: Adobe) Thesis: " Magnetic Resonance Image Reconstruction with Greater Fidelity and Efficiency "
	Karthik Gopalan   PhD, EECS (Next: Staff at MikGroup) Thesis: " Anatomy Inspired Hardware for Magnetic Resonance Imaging "
	Michael Kellman    (Co-advised with Laura Waller) PhD, EECS (Next: Zendar) Thesis: " Physics-based Learning for Large-scale Computational Imaging "
	Zhiyong Zhang   Postdoc, EECS (Next: Faculty at Shanghai Jiao Tong University)
	Patrick Virtue    (Co-advised with Stella Yu) PhD, EECS (Next: Faculty at Carnegie Mellon University) Thesis: " Complex-valued Deep Learning with Applications to Magnetic Resonance Image Synthesis "
	Jonathan (Jon) Tamir   PhD, EECS (Next: Faculty at UT Austin) Thesis: " MR Shuffling Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging "
	Frank Ong   PhD, EECS (Next: Roblox) Thesis: " Low Dimensional Methods for High Dimensional Magnetic Resonance Imaging "
	Joseph Corea   PhD, EECS (Next: InkSpace Imaging) Thesis: " Screen Printed MRI Receive Coils "
	Mark Murphy    (Co-advised with Kurt Keutzer) PhD, EECS (Next: Research Scientist at DeepMind) Thesis: " Parallelism, Patterns, and Performance in Iterative MRI Reconstruction "