Lokesh Boominathan

Graduate Research Assistant at Rice University
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Contact Information
us****@****om
(386) 825-5501
Location
Houston, Texas, United States, US
Languages
  • English Native or bilingual proficiency
  • Tamil Native or bilingual proficiency
  • Hindi Limited working proficiency
  • Telugu Limited working proficiency
  • Malayalam Native or bilingual proficiency

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Bio

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Credentials

  • Reinforcement Learning
    Coursera
    Apr, 2023
    - Oct, 2024

Experience

  • Rice University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Jan 2019 - Present

      Advised by Dr. Xaq Pitkow • Defined a new class of dynamic optimization tasks that more accurately captures the cost structure appropriate for inference computations in the brain • The resultant optimization provides nontrivial predictions for neural computations as a function of feedforward and feedback architectural features and task structure Advised by Dr. Xaq Pitkow • Defined a new class of dynamic optimization tasks that more accurately captures the cost structure appropriate for inference computations in the brain • The resultant optimization provides nontrivial predictions for neural computations as a function of feedforward and feedback architectural features and task structure

  • Indian Institute of Technology, Madras
    • India
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jun 2017 - Jul 2018

      Advised by Dr. Kaushik Mitra‬ • Developed a novel deep-learning based phase retrieval algorithm for performing Fourier Ptychography under varying amount of measurements • Contributed to building the hardware for Fourier Ptychography Microscopy Advised by Dr. Kaushik Mitra‬ • Developed a novel deep-learning based phase retrieval algorithm for performing Fourier Ptychography under varying amount of measurements • Contributed to building the hardware for Fourier Ptychography Microscopy

  • Indian Institute of Science (IISc)
    • India
    • Research
    • 700 & Above Employee
    • Research Assistant
      • Jul 2015 - Jul 2016

      Advised by Dr. Venkatesh Babu Developed novel deep-learning based solutions for computer vision problems such as: • Crowd counting: Estimating the crowd density from static images of dense crowds • Improving rotation invariance of computer vision algorithms by directly compensating for large in-plane rotations in natural images Advised by Dr. Venkatesh Babu Developed novel deep-learning based solutions for computer vision problems such as: • Crowd counting: Estimating the crowd density from static images of dense crowds • Improving rotation invariance of computer vision algorithms by directly compensating for large in-plane rotations in natural images

  • Indian Institute of Technology, Delhi
    • Higher Education
    • 700 & Above Employee
    • Summer Research Intern
      • May 2014 - Jul 2014

      Developed a graph signal processing based algorithm for filtering speckle noise in medical ultrasound images Developed a graph signal processing based algorithm for filtering speckle noise in medical ultrasound images

Education

  • Rice University
    Doctor of Philosophy - PhD, Electrical and Computer
    2018 - 2023
  • National Institute of Technology Calicut
    Bachelor's Degree, Electronics and Communication Engineering
    2011 - 2015

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