Dr. Baker Mohammad
Dr. Baker Mohammad Associate Professor & Director of SoCC
Bio
Education
Teaching Areas
Research Interests
Bio

Associate Professor, Department of Electrical Engineering and Computer Science; Director of System on Chip Center (SoCC)

Dr. Baker Mohammad earned his Ph.D. from the University of Texas at Austin in 2008, his M.S. degree from Arizona State University, Tempe, and B.Sc. degree from the University of New Mexico, Albuquerque, both in ECE. Dr. Mohammad is the Director of System on Chip Center and an Associate Professor of the Department of Electrical Engineering and Computer Science at Khalifa University.

Prior to joining Khalifa University, Dr. Mohammad was a Senior Staff Engineer/Manager at Qualcomm, Austin, USA for 6-years, where he was engaged in designing high performance and low-power DSP processor used for communication and multi-media application. Before joining Qualcomm he worked for 10 years at Intel Corporation on a wide range of micro-processors design from high performance, server chips > 100Watt (IA-64), to mobile embedded processor low-power sub 1 watt (xscale). His research interest includes VLSI, power efficient computing, Design with emerging technology such as Memristor, STTRAM, In-Memory-Computing, Efficient hardware accelerator for search engine, image processing, and Artificial Intelligent hardware. In addition, he is engaged in microwatt range computing platform for wearable electronics and WSN focusing on energy harvesting, power management, and power conversion including efficient DC/DC, AC/DC convertors.

Dr. Mohammad authored/co-authored over 40 referred journals and 80 conference proceedings, 3 books, > 20 US patents, multiple invited seminars/panelist, and the presenter of 3 conference tutorials including one tutorial on energy harvesting and power management for WSN at the 2015 (ISCAS). Baker is associate editor for IEEE transaction on VLSII, microelectronics journal, Elsevier and serves in many technical committees for IEEE conferences and reviewers for journals including TVLSI, IEEE Circuits and Systems.

Dr. Mohammad has received several awards including the KUSTAR Staff Excellence Award in Intellectual Property Creation, IEEE TVLSI Best Paper Award, 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award,  Qualcomm Qstar Award for Excellence on Performance and leadership, SRC Techon Best Session Papers for 2016 and 2017, 2009 Best Paper Award for Qualcomm Qtech Conference, and Intel Involved in the Community Award for Volunteer and Impact on the Community. 

Education
  • Ph.D., Electrical and Computer Engineering, University of Texas (USA), 2008
  • M.Sc., Electrical and Computer Engineering, Arizona State University (USA)
  • B.Sc., Electrical Engineering, University of New Mexico (USA)
Teaching Areas
  • Digital Design
  • VLSI Design
  • Hardware Accelerators for AI
  • Embedded System
Research Interests
  • Efficient electronics Hardware for AI and search engine
  • Design with emerging technology such as memristor
  • STTRAM, in-memory-computing
  • Power management and power conversion for chip design
  • Energy harvesting interface circuits