I am a Ph.D. student at University of Maryland College Park, advised by Prof. Nirupam Roy.
Research interests: Mobile computing, Sensing, Wireless Networking and Communication.
Lab : IRB 3245
Office : IRB 2116

Publications

  • Enabling Self-defense in Small Drones
    Nakul Garg, Nirupam Roy
    ACM HotMobile, 2020
    [slides] [paper]

  • Poster: Acoustic Sensing for Detecting Projectile Attacks on Small Drones
    Nakul Garg, Nirupam Roy
    ACM HotMobile, 2020
    [writeup] [poster]

  • Evaluating LED-Camera Communication for Drones
    Bhawana Chhaglani, Abhay Sheel Anand, Nakul Garg, Ashwin Ashok
    ACM LIot workshop co-located with MobiCom, 2020
    [paper]

  • Poster: DRIZY- Collaborative Driver Assistance Over Wireless Networks
    Nakul Garg, Ishani Janveja, Divyansh Malhotra, Chetan Chawla, Pulkit Gupta, Harshil Bansal, Aakanksha Chowdhery, Prerana Mukherjee, Brejesh Lall
    ACM MobiCom, 2017
    [paper] [poster]

Projects

    Air Pollution Sensor Network
    We are setting up a sensor network of air pollution monitoring devices in 200 Delhi Buses. Our sensor nodes can measure PM 1.0, 2.5 & 10.0, temperature, humidity, pressure, number of vehicles around, location, and speed of vehicle. This network can give a better insight of the air pollution in city than the existing 7 stationary air quality measuring stations. Advised by Professor Rijurekha Sen.
    [Times of India] [Hindustan Times]

    Near Sensor Machine Learning
    Implementing neural networks with binary and ternary bit widths on low energy devices like Arduino and Raspberry Pi 3, which cannot handle the other memory-hungry and compute-intensive deep neural networks. Professor Siddharth Joshi is designing a camera sensor which can perform spatial convolutions in analog domain, and I am investigating what hardware-software combination can give the best trade-off between accuracy, latency, cost, and energy by interfacing the new camera sensor with different processors such as ARM Cortex A53 quad-core on Raspberry PI 3B, ARM Cortex M3 on Arduino Due, and others. Advised by Professor Rijurekha Sen.

    AQI Prediction | Celestini Project 2018
    I was appreciated for my work ethics by the Celestini program directors and was appointed as the Technical Advisor for the 2018 Celestini Project. I mentored a team to build a smartphone application that allows users to upload an input image of the sky horizon taken from their smartphone camera and predict the air quality particulate matter indicator, PM2.5 concentration. The team ended up winning the Celestini Prize and was recognised by a myriad of media sources.
    [Financial Express] [Hindustan Times] [NDTV] [Business Standard] [First Post] [India Today]
    [Video] [Website] [Play Store]

    Drizy : Collaborative Driving Assistance | Celestini Project 2017
    As a part of the Celestini Project, sponsored by Google and Marconi Society and mentored by Dr. Aakanksha Chowdhery, we developed Drizy: Drive Easy, a collaborative driver assistance system that can alert drivers of impending collisions. Our system was prototyped to infer two types of collisions: vehicle-to-vehicle based on GPS sensor data of vehicles uploaded to the cloud and vehicle-to-pedestrian based on video feed from vehicles’ dashboard camera. We were awarded the Paul Baron Young Scholars Celestini Prize for our novel solution and also had the opportunity of presenting our work at the renowned ACM MobiCom 2017, USA.
    [Video] [Website]

Awards and Honors

  • ACM HotMobile 2020 Student Travel Award, 2020
  • University of Maryland Graduate School Dean’s Fellowship, 2019
  • Outstanding Student Volunteer Award by IEEE Delhi Section, 2018
  • President of India award at World Food Hackathon, 2017
  • ACM MobiCom 2017 Student Travel Award, 2017
  • Winning team, Celestini Project India, 2017
  • Winning team, eYantra National Robotics Competition, IIT Bombay, 2017
  • Winning team, eYantra National Robotics Competition, IIT Bombay, 2016
  • Winner of Regional CBSE Science Exhibition, 2012
  • Winner of Annual SMS School Science Exhibition, 2009, 2010 and 2011