J.Vikranth Jeyakumar (Vikranth) [Alum]


Electrical and Computer Engineering

Lab: 1762 Boelter Hall

UCLA, ECE Department, 420 Westwood Plaza, Los Angeles, CA 90095-1594


Tel [work]:

Web Page

Biography: I'm a Graduate student in Electrical and Computer Engineering department at UCLA, working with professor Mani Srivastava. I received my Bachelor of Engineering in Electronics and Communication from CEG, Anna University. During my undergrad I worked with professor P.V.Ramakrishna in the Integrated System Lab (ISL), Anna University. I was involved in the design, integration and testing of the ANUSAT- II, a 2 Unit CubeSat proposed by Anna University as a part of QB50 project lead by Von Karman Institute (VKI) in Belgium. Currently doing research on Sensor data from Smartphones and Wearable Devices to predict Human Behavior and deploying the trained models on edge devices. I'm also working on the cross modal sensor training and sensor translation(see if one sensor can provide information of a missing sensor) for activity tracking by fusing the data from opportunistically available sensors


  • Bachelor of Engineering in Electronics and Communication, CEG, Anna University, 2016.
  • Master of Science in Electrical and Computer Engineering, UCLA, 2018.
    (done at NESL)
  • Ph.D in Electrical and Computer Engineering, UCLA, 2022.
    (done at NESL)


  • Research Intern
    Arm Inc., June 2019 to Spetember 2019
  • Machine Learning Intern
    Arm Inc., June 2018 to Spetember 2018
  • Student Researcher, Anna University
    Integrated Systems Laboratory, July 2014 to June 2016

Research Interests:

  • Machine Learning, Deep Learning
  • Sensor Information processing
  • Computer Architecture
  • Embedded Systems

Recent Publications:

  • 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 ]
  • Hard-Label Black-Box Adversarial Attack on Deep Electrocardiogram Classifier
    Pengrui Quan, and J.Vikranth Jeyakumar.
    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 ]
  • SenseHAR: a Robust Virtual Activity Sensor for Smartphones and Wearables
    J.Vikranth Jeyakumar, and Mani B. Srivastava.
    SenSys '19: Proceedings of the 17th Conference on Embedded Networked Sensor Systems, November 2019. [ Details ]
  • Deep Convolutional Bidirectional LSTM based Transportation Mode Recognition
    J.Vikranth Jeyakumar, Eun Sun Lee, Zhengxu Xia, Sandeep Singh Sandha, and Mani B. Srivastava.
    Proceedings of the 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA2018), October 2018. [ Details ]
  • Inferring Human Activity and Behavior from Wearable Devices: Sentiment and Computer use
    J.Vikranth Jeyakumar, and Mani B. Srivastava.
    CONIX, September 2018. [ Details ]
  • AquaMote - Ultra Low Power Sensor Tag for Animal Localization and Fine Motion Tracking
    Eun Sun Lee, J.Vikranth Jeyakumar, Bharathan Balaji, and Mani B. Srivastava.
    November 2017. [ Details ]