Mani B. Srivastava (mbs) [Faculty]
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UCLA

ECE and CS Departments (joint)

Office: 6730-E Boelter Hall

Lab: 1762 Boelter Hall

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

Email:
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Tel [work]:
+1-310-267-2098

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 Prof. Robert 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.

I am a Fellow of the ACM, and a Fellow of the IEEE.

Google Scholar profile: https://scholar.google.com/citations?user=X2Qs7XYAAAAJ&hl=en
Google+ profile: https://plus.google.com/106857424330739684392
Linkedin profile: http://www.linkedin.com/in/msrivastava
Facebook profile: https://www.facebook.com/mani.srivastava

H-Index according to Google Scholar: 102 [Last updated: December 24, 2019]

Education:

  • 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)

Experience:

• 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, 2003-2017
• Vice Chair (Graduate Affairs), EE Department, UCLA, 2007-2011
• Professor, CS Department, UCLA, 2007-present • Professor, ECE Department, UCLA, 2017-present

Service:

• 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:
• 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

• Low-power and energy-aware embedded systems

Recent Publications:

  • Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production
    Sandeep Singh Sandha, Swapnil Sayan Saha, and Mani B. Srivastava.
    Third IEEE International Conference on Cognitive Machine Intelligence, December 2021. [ Details ]
  • Protecting User Data Privacy with Adversarial Perturbations
    Ziqi Wang, Brian Wang, and Mani B. Srivastava.
    The 2021 ACM/IEEE Information Processing in Sensor Networks (IPSN) Conference, May 2021. [ Details ]
  • SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices
    Renju Liu, Luis A. Garcia, Zaoxing Liu, Botong Ou, and Mani B. Srivastava.
    The 6th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2021), May 2021. [ Details ]
  • DeepSQA: Understanding Sensor Data via Question Answering
    Tianwei Xing, Luis A. Garcia, Federico Cerutti, Lance Kaplan, Alun Preece, and Mani B. Srivastava.
    The 6th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2021), May 2021. [ Details ]
  • I Always Feel Like Somebody's Sensing Me! A Framework to Detect, Identify, and Localize Clandestine Wireless Sensors
    Akash Deep Singh, Luis A. Garcia, Joseph Noor, and Mani B. Srivastava.
    Usenix Security 2021, April 2021. [ Details ]
  • How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
    J.Vikranth Jeyakumar, Joseph Noor, Luis A. Garcia, and Mani B. Srivastava.
    NeurIPS , December 2020. [ Details ]
  • Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
    Sandeep Singh Sandha, Bharathan Balaji, Fatima M. Anwar, and Mani B. Srivastava.
    CoRL, December 2020. [ Details ]
  • UWHear: Through-wall Extraction and Separation of Audio Vibrations Using Wireless Signals
    Ziqi Wang, Akash Deep Singh, Luis A. Garcia, and Mani B. Srivastava.
    SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems, November 2020. [ Details ]
  • Neuroplex: learning to detect complex events in sensor networks through knowledge injection
    Tianwei Xing, Luis A. Garcia, Marc Roig Vilamala, Federico Cerutti, Lance Kaplan, Alun Preece, and Mani B. Srivastava.
    The ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), November 2020. [ Details ]
  • Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics
    J.Vikranth Jeyakumar, and Mani B. Srivastava.
    International Conference on Internet of Things, September 2020. [ Details ]

Awards:

• 2020 IEEE Lance Stafford Larson Best Paper Award (2nd Runner Up)
• Best Demonstration Paper Award, The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2017.
• Audience Choice Award, ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2016.
• Best Paper Award Finalist, ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2016.
• Honorable Mention Award, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016.
• Best Paper Award, ACM Annual International Conference on Mobile Computing and Networking (MobiCom), 2015.
• Best Community Paper Award, ACM ACM Annual International Conference on Mobile Computing and Networking (MobiCom), 2015.
• Best Paper Award Finalist, ACM International Conference on Embedded Systems for Energy-Efficient Built Environments (BuildSys), 2015.
• Best Runner-up Paper Award, IEEE International Conference on Pervasive Computing and Communications (PerCom), 2014.
• Best Paper Award, The 31st IEEE Real-Time Systems Symposium (RTSS), 2010.
• Best Paper Award, The 2010 Workshop on Hot Topics in Embedded Networked Sensors (ACM HotEmNets), 2010.
• Best Paper Award, The 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2010.
• Best Paper Award, The Fourth ACM Intl. Workshop on UnderWater Networks (WUWNet), 2009.
• Best Paper Award, The 4th International Symposium on Location and Context Awareness (LOCA), 2009.
• Best Paper Award, The 6th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2008. • Design Contest Winner, 2008 IEEE ISSCC and ACM/IEEE DAC Student Design Contest, 2008.
• Award Winner, 2008 IEEE ISSCC and ACM/IEEE DAC Design Competition (Systems Category).
• Best Paper Nomination, 2006 IEEE/ACM ISLPED.
• Second Place Award, 2006 IEEE ISSCC and ACM/IEEE DAC Design Competition (Systems Category).
• Design Contest Award, IEEE/ACM ISLPED 2005.
• Best Demonstration Award, IEEE/ACM Information Processing in Sensor Networks, 2005.
• Second Place Prize, ACM/IEEE Design Automation Conference Student Design Contest (Operational Category), June 2002.
• Honorable Mention, ACM/IEEE Design Automation Conference Student Design Contest, June 2000.
• Best Paper Award, IEEE International Conference on Distributed Computing Systems, May 1997.
• Best Paper Nomination, IEEE/ACM Design Automation Conf., June 1995.
• Best Paper Nomination, Spring VHDL Users Group Conference, April 1991.

Secretary:

• Fe Asuncion (for research, contracts, and grants matters)
• Sandra Bryant (for teaching and administrative matters)