Mark Horowitz received his BS and MS in Electrical Engineering from MIT in 1978, and his PhD from Stanford in 1984. Since 1984 he has been a professor at Stanford working in the area of digital integrated circuit design. While at Stanford he has led a number of processor designs including MIPS-X, one of the first processors to include an on-chip instruction cache, Torch, a statically-scheduled, superscalar processor and Flash, a flexible DSM machine. He has also worked in a number of other chip design areas including high-speed memory design, high-bandwidth interfaces, and fast floating point. In 1990 he took leave from Stanford to help start Rambus Inc, a company designing high-bandwidth memory interface technology.
Postdocs and staff
Byong Chan Lim is an engineering research associate in the Department of Electrical Engineering, Stanford University. Under the supervision of Prof. Mark Horowitz, he has been conducting research on mixed-signal circuit design and methodologies to improve the productivity of mixed-signal SoC design and validation. He received his PhD in Electrical Engineering from Stanford University, in 2012. Before joining the group, from 2003~2007, he had worked on developing various analog IPs/Chips such as high-speed link, PLL(DLL), Image processor, and so on for LG Electronics Inc.
Dr. Richardson, a long-time graduate of Stanford’s PhD program, authored Sun Microsystems’ first technical report. Later, he helped launch Micro Magic (www.micromagic.com), a processor design and design-tool consulting firm. Dr. Richardson has also worked at HP research labs, where he headed up a large-ish team of hardware-oriented computer architects. Recent work at Stanford has included reswearch on elegant solutions for conflict-free placement of FFT datapoints in local memory.
I’m working on the Frankencamera project, where we are building an open platform for computational photography research. I’m interested in image processing, computer vision, and computational photography - using computation to expand the limits of imaging systems. I particularly enjoy working at the intersection of hardware, software, and theory, where the math produces a beautiful and tangible result. I received my B.S. in Computer Engineering from Oklahoma Christian University in 2011.
Heonjae received his B.Eng. from Korea University in 2006 and his MS from Stanford University in 2009. He is a PhD student in Electrical Engineering at Stanford University since 2013. Prior to his PhD studies he worked at SK Hynix, where he collaboratively designed LPDDR2 Mobile DRAMs and did design validation of various Mobile DRAMs. His current research interests include enenrgy efficient memory design and design validation methodologies.
Steven Herbst is working to broaden participation in mixed-signal integrated circuit design through research in design automation, simulation methods, and verification algorithms. Prior to becoming a PhD student at Stanford, he was an engineer at Apple (2013-2016) and Intersil (2011-2013). Steven holds B.S. and M.Eng. degrees in EE from MIT (2010, 2011).
Zach is a EE PhD student. He received a B.S. in EE from UC Davis in 2013. He is interested in non-traditional substrates for electronics, cutting edge mixed signal design and open hardware.
Jeff received a B.S. in Electrical and Computer Engineering from Cornell University in 2015. He is currently a Ph.D. candidate in Electrical Engineering at Stanford University. He is currently working on the Frankencamera project, an FPGA-based image-processing camera; and Halide2Hardware, a compiler from an image-processing DSL to hardware RTL.
Jing Xiong is a Ph.D. student at Electrical Engineering department at Stanford University. She received her BS in Electrical Engineering from University of Minnesota Twin Cities with Summa Cum Laude and high distinction. She is currently working on a brain mapping project.
Xuan Yang is a Ph.D student at Electrical Engineering department at Stanford University. She received her B.Eng from Beijing Institute of Technology in 2012. She is currently working on linear algebra generator and floating point division and square root generator. Her research interest is energy efficient hardware for machine learning applications on big data.
Keyi Zhang is a PhD student in Computer Science at Stanford University. He is currently working on efficient FPGA place and route algorithms. He received a B.S. in Computer Science and Engineering from Bucknell University.
Also see experimental alumni prototype page.Amy Fritz | http://stanford.edu/~avfritz
Blaine Rister | http://stanford.edu/~blaine
Feiqiao Brian Yu | http://brianyu.org
Andrew Danowitz |
John Brunhaver | http://graphics.stanford.edu/~jbrunhav
Jonathan Leaf | http://stanford.edu/~jcleaf
Jing Pu | https://www.linkedin.com/in/jingpu
Kahye Song |
Sabrina Liao |
Megan Wachs | http://meganwachs.com
Mehmet Ozan Kabak | http://stanford.edu/~ozank
Ardavan Pedram | http://www.cs.utexas.edu/~ardavan/
Rayfe Gaspar-Asaoka |
Shahar Kvatinsky | http://webee.technion.ac.il/people/skva/
Suyao Ji | http://stanford.edu/~suyao
Zain Asgar |