Akash Mittal

Akash Mittal

Biography

I am a master’s student in the Computer Science department at the University of Illinois, Urbana-Champaign (UIUC). I am fortunate to be advised by Prof. Romit Roy Choudhury at the SiNRG lab where I develop applications bridging the gap between physical world and digital world (Fusing motion sensors and computer vision). I also work with Prof. Daniel Kang on developing data systems for deploying Machine Learning models. Prior to joining UIUC, I spent three wonderful years at Samsung Research, Seoul.

Over the past few years, I have built and deployed end-to-end systems spanning multiple disciplines like Mobile Sensing, Computer Vision, Deep Learning for graphs, Explainable AI, and Big Data in various environments including academic research, as well as industry. I am highly passionate about solving real world problems using technology.

Download my CV.

Interests
  • Artificial Intelligence
  • Machine Learning
  • Mobile Sensing
Education
  • Indian Institute of Technology (IIT), Delhi, 2019

    B.Tech in Computer Science and Engineering

  • University of Illinois, Urbana-Champaign (UIUC), 2024

    MS in Computer Science

Experience

 
 
 
 
 
Samsung Research HQ
Research Engineer
Sep 2019 – Jun 2022 Seoul, South Korea
  • Built Indoor Localization System for location based services in retail stores.
  • Worked on Explanable AI, Recommender Systems, Big Data Healthcare Analytics.
 
 
 
 
 
National University of Singapore
Research Internship
Jul 2019 – May 2019 Singapore
Built and Deployed OD (Origin to Desination path) Engine for Vehicle Routing Problem.
 
 
 
 
 
Samsung Research HQ
Research Internship
Jul 2018 – May 2018 Seoul, South Korea
Developed continuous learning ML data pipeline.
 
 
 
 
 
Purdue University
Research Internship
Jul 2017 – May 2017 Indiana, USA
Built automatic gym exercise counting system.

Projects

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Catcha

Catcha

Catcha provides a new gamified shopping experience in offline retail stores. The core underlying technology of Catcha is a deep learning-based on-device infrastructure free indoor positioning system and Augmented Reality.

Note Z

Note Z

Note Z helps in taking notes while recording the video simultaneously. It is designed specifically for foldable phones.

Decision Support System

Decision Support System

Decision Support System (DSS) is a web application developed for government officials in India. It helps in managing the schedule, bringing in all the data of the city/district at a single place, and supporting decisions related to maintaining law and order & efficient implementation of schemes.

OD Engine

OD Engine

OD Engine is a fast API service to compute the most optimal paths between hundreds of pairs of locations simultaneously.

Gym Management System

Gym Management System

An android application that helps gym owners manage their day-to-day gym operations.

Gym Companion

Gym Companion

Gym Companion utilizes surveillance cameras to help you track the workouts in the gym automatically using state-of-the-art computer vision algorithms.

Branular

Branular

Branular is a windows application built in Unity 3D that helps explore the different parts of the brain interactively.

InNav

InNav

InNav helps visually impaired people navigate inside indoor environments using audio-based directions.

Contact