Michael Lustig
Professor
Info Links
Research Areas
- Signal Processing (SP)
- Scientific Computing (SCI)
- Physical Electronics (PHY)
- Information, Data, Network, and Communication Sciences (IDNCS)
- Biosystems & Computational Biology (BIO)
- Control, Intelligent Systems, and Robotics (CIR)
- Artificial Intelligence (AI)
- Computer Architecture & Engineering (ARC)
- Database Management Systems (DBMS)
- Design, Modeling and Analysis (DMA)
- Power and Energy (ENE)
- Graphics (GR)
- Human-Computer Interaction (HCI)
- Integrated Circuits (INC)
- Micro/Nano Electro Mechanical Systems (MEMS)
- Operating Systems & Networking (OSNT)
- Programming Systems (PS)
- Security (SEC)
- Medical Imaging, Magnetic Resonance Imaging
- Computational Sensing/Imaging, Electrical Engineering, Computer Science, Biomedical Engineering
Research Centers
Teaching Schedule
Spring 2023
- EE 39. Hands-on Ham Radio, We 11:00-12:59, Cory 531
- EE 198-5. IEEE Micromouse, Tu 18:00-19:59, Dwinelle 182
- EE C225E. Principles of Magnetic Resonance Imaging, MoWe 14:00-15:29, Cory 293
Biography
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. He received his B.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology in 2002. He received his Msc and Ph.D. in Electrical Engineering from Stanford University in 2004 and 2008, respectively. His research focuses on computational imaging methods in medical imaging, particularly Magnetic Resonance Imaging (MRI). Miki is a jolly good Fellow of the Society of Magnetic Resonance in Medicine.
Education
- 2008, PhD, EE, Stanford University
- 2004, MSc, EE, Stanford University
- 2001, BSc, EE, Technion, IIT
Selected Publications
- M. Lustig, "For current publication list, look at my personal page.," UC Berkeley, Oct. 2012.
- M. Lustig, "My Software Page," 2012.
Awards, Memberships and Fellowships
- ISMRM Fellow, 2017
- Electrical Engineering Award for Outstanding Teaching, 2016
- Bakar Fellows Spark Award, 2015
- Okawa Research Grant, 2014
- Sloan Research Fellow, 2013
- Hellman Fellow, 2012