Shreeram Chandra

Experience

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  The Vimana

  Jan 2018 - Sept 2019

  Member

  I specialized in electronic speed controllers in our pursuit of building a drone from scratch.Also worked on the micro-drone team and X application (student platform on Android).

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  Quantum Electronics lab, PES University

  Jun 2018 - Aug 2018

  Intern

  Did an extensive survey of the projects undertaken in the lab.

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  Microsoft Innovation Lab, PES University

  May 2019 - Jan 2020

  Research Project Intern

  Worked on Project Mythodex, a context-based mythological scene mapping model.- The project aims at bringing out the context in mythological artwork and intends to provide the user with the details of the scene portrayed in the painting/sculpture. - Experimented with neural networks, graphs, and computer vision algorithms like YOLO, Single Shot Detector, and Faster R-CNN to build a context-based mythological scene mapping model. - Presented the work in AISP 2020 which was later published in IEEE Xplore: https://ieeexplore.ieee.org/abstract/document/9073474. Show less

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  Intel Corporation

  May 2020 - Nov 2020

  Undergraduate Intern

  - Worked in the Display GPU modeling team where I developed a test application that was able to interface various components of the Display architecture. - Architected a debug parser in C++ to reproduce bugs caught on test benches. Received recognition by manager and team for quality code and quick turn-around time. - Developed internal tools for code coverage using scripting with Python.

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  Indian Institute of Science (IISc)

  Jan 2021 - Jul 2021

  Research Intern

  Spatial Audio : Differences in the perception of spatial integration of Discrete/Continuous spectra signals. Worked with Prof. TVS and PhD student Arthi.S. - Digital signal processing (DSP) algorithm design and formulation of listening experiments to understand audio signal properties affecting perceived source width. - Used source filter model to generate synthetic vowels after extracting filter parameters using LPC analysis on recorded natural vowels.} - Designed algorithms to calculate the noise floor difference (NFD) between noisy and noiseless speech signals.- Implemented zero crossing instantaneous frequency estimation to explain the source width widening of shaped noisy vowels by decomposing the vowel into multiple bandpass signals.- Performed loudspeaker compensation by designing inverse filters using LP analysis and built a Matlab GUI to perform multi-channel loudness equalization. - Published the findings in IEEE CONECCT 2021 : https://ieeexplore.ieee.org/abstract/document/9622603. Show less

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  Intel Corporation

  Jul 2021 - Jul 2022

  Graphics Hardware Engineer

  Design and development of a GPU functional simulator that models Intel's Graphics Hardware. - Worked in the pre-silicon validation team to build a software modeling simulator in C++ tomimic the hardware behavior in the GPU. - Experimented with the pixel processing pipeline, where I modeled various image filters that need to be applied to render a visually appealing image on the display panel.

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  The University of Texas at Dallas

  May 2023 - Aug 2023

  Summer Research Assistant

  Working as a research assistant in the Speech and machine learning lab with Dr. Berrak Sisman.

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  Department of Electrical & Computer Engineering

  Aug 2023 - now

  Speech and Machine learning lab

  • Graduate Research Assistant

    Aug 2024 - now

  • Graduate Teaching Assistant

    Aug 2023 - Aug 2024
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  ITS UTD

  Aug 2023 - Jan 2024

  Treasurer
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  Johns Hopkins Whiting School of Engineering

  Jan 2025 - now

  Visiting PhD Student