Sreenithy Chandran

PhD in Electrical Engineering with specialisation in Computer Vision, Computational Photography and Deep Learning

About Me

Hi, I am a PhD student in the Electrical Engineering Department working with Dr.Suren Jayasuriya.

I am interested in image processing, computer vision, computer graphics and deep learning in particular light transport, non-line-of-sight imaging and rendering. My workflow involves moving between theory and implementation in an iterative fashion. I employ  algorithms, physics-based modelling, specialized optical setups and deep learning techniques to enable seeing the world differently.

Research Publications



Programming Languages

Python, C, C++


Libraries, Frameworks and Software Platforms

MATLAB, OpenCV, Tensorflow, PyTorch, Keras, Mitsuba, Pbrt-V3, Linux, Windows


Graduate Research Assistant, Imaging Lyceum

Adviser:Dr.Suren Jayasuriya

(Jan 2019 - present)

Developed algorithms for performing non-line-of-sight imaging using a data-driven approach, by formulating an optimization problem based on a simplistic physics-based image formation model and employing deep learning techniques to find the parameters that relate to the light transport simulation

Summer Research Fellow, Nara Institute of Science and Technology

Optical Media Interface Lab, Adviser: Dr.Yasuhiro Mukaigawa

(May 2019-July 2019)

Worked on real time video masking for security applications using a synchronized projector-camera system(slope disparity gating) by controlling the hardware parameters of the system.

Teaching Assistant: Prototyping Dreams [Arts, Media and Engineering-130]

(Aug 2018 - Dec 2018)

This is an introductory-level course that explores the idea of inspirational prototyping
across multiple media, including physical fabrication, science fiction, virtual worlds and film. Involved in evaluating assignments and helped students develop their own futuristic chatbot for the class using python. The chatbots were exhibited at the Tempe Center of Arts, Monster Stories, an exhibition celebrating the 200th anniversary of the novel, “Frankenstein.”

Indian Institute of Technology, Madras (IIT-M)

Summer Research Fellow

(June 2016 - Sept 2016)

Worked on a compressive sensing framework for Electroencephalography (EEG) source localization application. Proposed a framework which utilizes the sparsity of EEG signals and post processing algorithm SWAP to give better recovery under reduced number of measurements




November 1

PhD in Electrical Engineering

Arizona State University

Fall 2019 – Fall 2022 [est.]

Computer Vision, Computational Photography, and Deep Learning

November 1

MS In Electrical Engineering

Arizona State University
Fall 2017 – Spring 2019
Computer Vision and Deep Learning

GPA : 3.81 / 4.0

November 1

B.Tech In Electrical Engineering

Anna University Chennai, India
Graduated May 2017
Image Processing and Robotics
GPA : 3.75 / 4.0

Let's Chat

Come find me at

Imaging Lyceum

Email me at