Jeya Vikranth Jeyakumar (Vikranth) [PhD Student]
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Networked and Embedded Systems Laboratory

Electrical and Computer Engineering

Lab: 1762 Boelter Hall

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

Email:
vikranth94@ucla.edu

Tel [work]:
+1(424)386-5276

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

Education:

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

Experience:

  • 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:

  • Deep Convolutional Bidirectional LSTM based Transportation Mode Recognition
    Jeya 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 ]
  • AquaMote - Ultra Low Power Sensor Tag for Animal Localization and Fine Motion Tracking
    Eun Sun Lee, Jeya Vikranth Jeyakumar, Bharathan Balaji, and Mani B. Srivastava.
    November 2017. [ Details ]