Michael Lustig
Associate Professor
Info Links
Research Areas
- Signal Processing (SP)
- Scientific Computing (SCI)
- Physical Electronics (PHY)
- Communications & Networking (COMNET)
- 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)
- 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)
- Theory (THY)
- Medical Imaging, Magnetic Resonance Imaging
- Computational Sensing/Imaging, Electrical Engineering, Computer Science, Biomedical Engineering
Research Centers
Teaching Schedule
Fall 2018
- EE 16B. Designing Information Devices and Systems II, TuTh 5:00PM - 6:29PM, Wheeler 150
- CS 294-148. Topics in Machine-learning, Inverse-problems, and Data Analysis in Computational Neuro and Medical Imaging, Mo 10:00AM - 11:59AM, Soda 320
Biography
Michael (Miki) Lustig is an Associate Professor in EECS. 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 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
- Electrical Engineering Award for Outstanding Teaching, 2016
- Bakar Fellow, 2015
- Okawa Research Grant, 2014
- Sloan Research Fellow, 2013
- Hellman Fellow, 2012