Mani B. Srivastava (mbs) [Faculty]


EE Department

Office: 6730-E Boelter Hall

Lab: 1762 Boelter Hall

UCLA, EE Department,
MC #951594,
6730-E Boelter Hall,
Los Angeles, CA 90095-1594

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Biography: I am on the faculty at UCLA as Professor with joint appointments in the Electrical & Computer Engineering Department, and the Computer Science Department. Before joining UCLA in 1997, I worked for about four and a half years at the Networked Computing Research Department at Bell Labs in Murray Hill, NJ  (it was called  AT&T Bell Labs when I had joined, but perennial reorganizations had transformed it into Lucent Technologies - Bell Labs Innovations by the time I left, and it is now called the Nokia Bell Labs!). My interests in mobile and wireless systems are largely because of my work at Bell Labs where my group built one of the first wireless ATM system. Prior to that, I did my graduate work in the EECS Department at U. C. Berkeley under Bob Brodersen in the general area of CAD tools for embedded DSP VLSI and system design. My M.S.  project (1988) was on CMOS bit-slice datapath compilation as part of the  Lager silicon compiler for DSP VLSI, while my Ph.D. dissertation (1992) was on hardware-software rapid prototyping and co-design at the board level for embedded DSP and control applications. Going even further back in time, I received my B.Tech. in Electrical Engineering from IIT, Kanpur in India in 1985, and did my prior schooling at the Colvin Taluqdars' College in Lucknow, India - the city where I grew up. I have served as the Editor-in-Chief of the IEEE Transactions on Mobile Computing and the ACM Mobile Computing and Communications Review, and as Associate Editor of the ACM Transactions on Sensor NetworksACM/IEEE Transactions on Networking, and the IEEE Transactions on Mobile Computing.

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H-Index according to Google Scholar: 94 [Last updated: July 31, 2017]


  • B.Tech. in Electrical Engineering, Indian Institute of Technology, Kanpur, India, 1985.
  • M.S. in Electrical Engineering and Computer Sciences, University of California at Berkeley, 1987.
    Thesis: Automatic Generation of CMOS Datapaths in LAGER Framework (Advisor: Robert Brodersen)
  • Ph.D. in Electrical Engineering and Computer Sciences, University of California at Berkeley, 1992.
    Thesis: Rapid-Prototyping of Hardware and Software in a Unified Framework (Advisor: Robert Brodersen)


• Member of Technical Staff, Networked Computing Research, AT&T/Lucent Bell Labs, 1992-1996
• Assistant Professor, EE Department, UCLA, 1996-1998
• Associate Professor, EE Department, UCLA, 1998-2003
• Professor, EE Department, UCLA, 2003-present
• Vice Chair (Graduate Affairs), EE Department, UCLA, 2007-2011
• Professor, CS Department, UCLA, 2007-present


• TPC Co-chair, ACM SafeThings 2017
• TPC Co-chair, ACM eEnergy 2015
• General Chair, ACM BuildSys 2015
• TPC Co-chair, ACM BuildSys 2014
• Chair, Steering Committee, IEEE Transactions on Mobile Computing, January 2011 - December 2013
• Editor-in-Chief, ACM Sigmobile Mobile Computing and Communications Review, January 2005 - December 2007
• TPC Co-chair, ACM/IEEE IPSN 2005
• TPC Co-chair, ACM SenSys 2003
• TPC Co-chair, ACM MobiHoc 2003

Research Interests:

• Low-power and energy-aware embedded systems
• Cyber-physical Systems
• Mobile and wireless computing and networking
• Pervasive and ubiquitous computing
• Security and privacy in IoT, CPS, and Mobile
• Machine Learning for IoT, sensor information processing

Recent Publications:

  • Cyclops: PRU Programming Framework for Precise Timing Applications
    Amr Alanwar, Fatima M. Anwar, Yi-Fan Zhang, Justin Pearson, Joao Hespanha, and Mani B. Srivastava.
    2017 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS), August 2017. [ Details ]
  • D-SLATS: Distributed Simultaneous Localization and Time Synchronization
    Amr Alanwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul D. Martin, Joao Hespanha, and Mani B. Srivastava.
    MobiHoc'17 Proceedings of the 18th ACM international symposium on Mobile Ad Hoc networking and computing, July 2017. [ Details ]
  • MyoBuddy: Detecting Barbell Weight Using Electromyogram Sensors
    Bo-Jhang Ho, Renju Liu, Hsiao-Yun Tseng, and Mani B. Srivastava.
    1st Workshop on Digital Biomarkers 2017, June 2017. [ Details ]
  • Deep Learning for Situational Understanding
    Supriyo Chakraborty, Alun Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, and Mani B. Srivastava.
    20th International Conference on Information Fusion, June 2017. [ Details ]
  • Binarized Neural Networks with Separable Filters
    Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao, Mani B. Srivastava, Zhiru Zhang, Rajesh K. Gupta, and Zhuowen Tu.
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), May 2017. [ Details ]
  • Interpretability of Deep Learning Models: A Survey of Results
    Supriyo Chakraborty, Daniel Harborne, Moustafa Alzantot, Ramya Raghavendra, Mani B. Srivastava, Federico Cerutti, Dave Braines, Troy Kelley, Dave Braines, Alun Preece, Murat Sensoy, and Prudhvi Gurram.
    May 2017. [ Details ]
  • Deep Learning for Situational Understanding
    Supriyo Chakraborty, Alun Preece, Moustafa Alzantot, Dave Braines, and Mani B. Srivastava.
    May 2017. [ Details ]
  • Distributed Opportunistic Sensing and Fusion for Traffic Congestion Detection
    Alistair Nottle, Santiago Quintana-Amate, Daniel Harborne, Moustafa Alzantot, Dave Braines, Lance Kaplan, Mani B. Srivastava, Supriyo Chakraborty, and Alun Preece.
    May 2017. [ Details ]
  • RSTensorFlow : GPU Accelerated TensorFlow for DeepLearning on Commodity Android Devices
    Moustafa Alzantot, Yingnan Wang, Zhengshuang Ren, and Mani B. Srivastava.
    May 2017. [ Details ]
  • PROTC: PROTeCting Drone’s Peripherals through ARM TrustZone
    Renju Liu, and Mani B. Srivastava.
    DroNet 2017, May 2017. [ Details ]


• Fe Asuncion (for research, contracts, and grants matters)
• Rose Weaver (for teaching and administrative matters)