Divyansh Agarwal

Software Developer, Research Associate


About Me

I'm a computer scienctist with an inclination towards academic research. I love to learn new technologies and develop systems & tools that users can use. Broadly, my areas of interest include social computing systems, applied machine learning and research in online social networks. I am also a design enthusiast, having taken Dr. PK's course on Designing Human Centered Systems. I am experienced in designing and developing usable applications.

I am interested in projects related to both research and development as long as they offer an opportunity to learn and grow.

I graduated with my Bachelors in Information Technology in May, 2016 from NSIT,  University of Delhi. Since graduating, I have been a part of the Precog Research Group at IIIT-Delhi , a group of researchers who study, analyze, and build different aspects of social media, led by Prof. Ponnurangam Kumaraguru.

I go by the psuedoname 'jigsaw2212' on various developer and coding platforms.

Recent Activity

New! February 2018: Our short paper titled "Understanding dangerous selfies on social media" got accepted at TheWebConf'18 workshop - Modeling Social Media (MSM).

New! February 2018: Teaching Assistant for Introduction to HCI course

The Introduction to Human-Computer Interaction MOOC on NPTEL is underway with 3,500 students from various instiutions across India.

New! December 2017: Selected as a Mentor for IIIT-Delhi's first Winter School on User Experience and Design.

The Winter School is underway with 71 participants, including students and design professionals!

Find out more

New! October 2017: Selected as a Youth@IGF 2017 fellow.

Invited by ISOC to participate at the 12th Internet Governance Forum to be held in Geneva, Switzerland from 18th December 2017 to 21st December 2017. Recieved a fully funded travel fellowship for the same.

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New! July 2017: Teaching Assistant for PSOSM course

I will be acting as a TA for the Privacy and Security on Online Social Media (PSOSM) course being offered on NPTEL this semester. 10,208 students have enrolled for the same!
Will also be the technical mentor for the PSOSM course being offered in IIIT-Delhi this fall.

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project name

From Camera to Deathbed: Understanding Dangerous Selfies on Social Media

In Proceedings of the 11th International AAAI Conference on Web and Social Media (May 15-18, 2017) - ICWSM 2017

Acceptance Rate: 20%

Read the full draft

project name

Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths

ArXiv Report published in Nov, 2016. Our work was widely talked about by the Indian Government, popular news, print media and social networking sites.

Find out more       Blog Post       Read the full draft

project name

kROp: k-Means Clustering based routing protocol for Opportunistic Networks

Journal of Ambient Intelligence and Humanized Computing (Springer).

Impact Factor: 1.8

Read the full draft

project name

EDR: An Encounter and Distance Based Routing Protocol for Opportunistic Networks

In the proceedings of, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications - AINA (March 23-25 2016)

Acceptance Rate: 27%

Read the full draft

Submitted manuscripts

Using Deep Learning to Identify Dangerous Selfies on Social Media

Submitted to - 9th International Workshop on Modeling Social Media (MSM'2018) : Applying Machine Learning and AI for Modeling Social Media. (Workshop at WWW or TheWebConf)


Research Associate - Precog Research Group, IIIT-Delhi
(June 2016 - Present)

Mentor - Prof. Ponnurangam Kumaraguru

My work with Precog lies at the core of my current interests, skills and expertise on social computing systems. I have worked on multiple projects that involve large scale user behavior analysis, studying social interactions and information sharing on social media plarforms. The broad aspects of my work here are:-

  • Development: I lead the development of a large-scale social media monitoring application, called Advanced Application for Social Media Analytics (AASMA). This effort is funded by the Government of India and is used for monitoring of information spread by drawing inferences from the interactions between users on social networking platforms.

  • Research: My primary research project here dealt with studying the rising number of selfie-related casuaties happening around the globe, in order to create a technical intervention for the same. The project was in collaboration with researchers from Carnegie Mellon University, and has generated significant awareness worldwide regarding the social issue.

  • Teaching: During my time here, I have acted as a teaching assistant and a project evalutator for multiple courses. This includes physical courses in IIIT-Delhi like 'Privacy and Security on Online Social Media', and online courses like 'Introduction to Human-Computer Interaction' on NPTEL (India's most popular MOOC portal).

Research Intern (Remote) - ERIC Lab, Université Lumière Lyon 2
(Jan 2016 - April 2016)

Mentor - Prof. Julien Velcin

My work involved doing a large scale study of the controversy detection schemes on social computing platforms, attempted in the text minning literature. After performing a comprehensive quantitative comparison on a Reddit data set, I developed my own controversy detection mechanism using the comments network on controversial and non-controversial subreddits. Our survey paper on this work is currently underway.

Undergraduate Researcher - CAITFS Research Group, NSIT
(2014 – May 2016)

Mentor - Prof. Sanjay Kumar Dhurandher

My work involved application of learning based techniques in Opportunistic Network routing, which hasn't been attempted before. To reduce the high overheads incurred during routing in these networks, we used an unsupervised machine learning technique for routing. This work was a part of my bachelor thesis.

Data Science Intern - TrulyMadly Matchmakers
(Summer 2015)

TrulyMadly has earned fame as India’s most popular dating app. TrulyMadly employs moderators to check user profiles for pictures that have NSFW and nude content. I worked as a part of their infrastructure and data science team on building their nudity detection system from scratch. I used the transfer learning framework DeCAF for this work. This will increase the productivity of their moderation process.