I am a second-year Ph.D. student in the Department of Computer Science at Virginia Tech, where I am advised by Dr. Kurt Luther in the Crowd Intelligence Lab . Prior to joining grad school, I was a Software Engineer at Microsoft for two and a half years. I obtained a Bachelor of Engineering degree in Computer Science and Engineering from Jadavpur University, India.
In my research, I take a mixed-methods approach that combines my skills in software development and human-computer interaction. The work entails the design and evaluation of sociotechnical systems that support expert-led crowdsourcing and collaboration. Overall, I am interested in human-AI interaction projects that aim to augment the work practices of experts.
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Ph.D. in Computer Science, 2021 - Present
M.S. in Computer Science, 2021 - Present
Bachelor of Engineering in Computer Science and Engineering, 2014 - 2018
Jadavpur University, India
REST APIs, SQLServer, PostgreSQL, DynamoDB, Django, React, Heroku app hosting
Pandas, Numpy, Scikit-Learn, Seaborn, Matplotlib
Survey Design, Semi-structured interview and Thematic Analysis, Wireframing, Contextual Analysis
Developed a framework for students trained in social media information discovery and verification skills to augment the investigative practices of journalists, law enforcement officers, and human rights activists. I ran five study sessions where students contributed to real-world investigations being carried out by the experts.
I used design-based research (DBR) approach to develop the collaborative framework. Data collection was in the form of collaborative spreadsheets containing feedback from experts, semi-structured interviews with students and experts, and student reflection assignments.
The work is in preparation for CHI 2023.
Developed a web app for students to participate in Capture the Flag (CTF) events to discover, archive, verify and report possible social media misinformation. The Quriosinty app was used by 40 students every week during the Spring ‘21 semester.
Here users can form teams, submit pieces of investigation through flags and judges can award points based on a rubric. I built REST API endpoints to extend the platform for integrating new OSINT tools.
We used a Research through Design (RtD) process to iterate on the platform and generate design recommendations for systems aimed at verification of online information. Data was collected from system logs, student reflections, and semi-structured interviews.
The paper will be submitted to CSCW 2022.
Human-AI Interaction Course project 2021
We design a notebook to allow the user to upload an image of a person and modify the pose of that person by dragging and dropping body joints.
Computer Supported Collaborative Work Course project 2021
Here we propose a flagging mechanism that modifies the process of reporting currently found in popular platforms like Facebook, Instagram, and Twitter. We describe the design, development, and evaluation of a method of curbing ad hominem attacks that occur in common online discussion spaces, particularly comments and replies to posts. Through ethnographic interviews as well as a small-scale user study, we explore the emotional experiences of being the target of or witnessing trolling online, revealing the needs of these groups in these interactions.