I am a Research Fellow at Microsoft Research India, where I have worked with Srinivasan Iyengar, Mohit Jain, and Manohar Swaminathan.
I work broadly in the intersection of HCI, sensing, and applied AI/ML. Specifically, I like to build systems that employ sensing, algorithms, AI/ML to explore HCI questions. Application areas of my interest are health, ICTD, education, sustainability, and sports. My work has been published at CSCW (Methods Recognition award), ACM COMPASS (Best Paper award), and ACM SenSys (poster). Some of my work is also open sourced by Microsoft: github.com/microsoft/modulo.
Prior to MSR, I graduated with honours (major CGPA: 3.98) in Computer Science from Ashoka University, India. At Ashoka, I was awarded the Undergraduate Research Excellence award. I also won the Student Life Excellence award for my contributions to student life and social impact. I have represented Ashoka in badminton, football, and tennis (which I've played at a national level).
Dhruv Agarwal, Srishti Agarwal, Vidur Singh, Rohita Kochupillai, Rosemary Pierce-Messick, Srinivasan Iyengar, Mohit Jain
CSCW 2021 | Methods Recognition Award
Dhruv Sinha, Ojas Sahasrabudhe, Dhruv Agarwal, Debayan Gupta
COMPASS 2020
Dhruv Agarwal, Srinivasan Iyengar, Manohar Swaminathan
SenSys 2019
Arduino, Raspberry Pi, Python (+ Flask), MySQL
We developed a device that could be placed in dorm rooms at Ashoka to monitor wastage of energy. We used multiple sensors to detect whether energy was being wasted in the form of unnecessary use of lights and AC, and displayed the information on a user-friendly web app.
NLP (TF-IDF, BoW), Keras, Python, SciPy stack
Undertook the Fake News Challenge to distinguish between the following relationships between a news headline and an article body: unrelated, agree, disagree, discuss. We got comparable (if not better) results than winners of the competition (although we did break some rules of the competition!).
Keras, Python, SciPy stack
A machine learning model (autoencoder) to beat common forms of facial obfuscation like blurring and pixelation. In addition, we defined another obfucation model, "blocking", to beat our model and hence show limitations of our model. We also tried generative models like GANs and variational autoencoders, which did not give good results for this task.
TF Object Detection API, Socket.io, Python, Node.js
A real-time smart city system for automatic detection and reporting of road accidents, using a machine learning and vision algorithm, for reduced relief response time and avoiding chaining of accidents. Adjudged 5th best project out of 400 teams at HackIIIT-D 2018.
Python (+ Flask), Facebook APIs
A Messenger bot I developed as a weekend hack to give Ashoka University users information about mess menu, shuttle timings and important phone numbers. The bot has received and sent over 80k messages to over 600 unique users since it was started in March 2017.
Python (+ Flask), PHP, MySQL
An online code judge (like CodeChef) intended to be used for programming contests within my University. This platform was eventually used by the instructor for programming assignment submissions in the CS101 course in Spring 2016.