About Me

Preferred Name: Sneha
Devanagari Script: स्नेहा
IPA: Sn/ɛ/h/ɑ:/


PhD student at the University of Toronto, Faculty of Information.
Research interests: Pedagogy research, Navigating academia as interdisciplinary scholars.



Past academic affiliations:
MS Information Security (CS track) at Georgia Institute of Technology, Atlanta. Supervisor- Dr. Courtney L. Crooks.
Bachelor of Electronics and Telecommunication Engineering at Pune University, Maharshi Karve Stree Shikshan Samstha's Cummins College of Engineering, Pune. Supervisor- Dr. Mrudul Dixit.

Previous Research Projects & Talks

• Tips for MS students


• News article: My collaborative research experience at the intersection of Cybersecurity, AI, and Healthcare.


• Empirical study of national security risks in ChatGPT' : Internet censorship which is a primary tool of repression on digital platforms is crossing regional borders with large-scale adoption of Large Language Models. This study highlights the need for rigorous evaluations of AI models for national security risks. The study was conducted in February 2023 under the supervision of Professor Dr. Ling Liu.


• My attempt to predict internet censorship using machine learning.

Publications

• Crooks, C., Talwalkar, S., Sharma, T., Arora, K., & Venkatesh, K. (2024). Designing Human-centered Artificial Intelligence to Assist with Domestic Abuse Recovery: Mitigating Technology Enabled Coercive Control. Proceedings of the 2024 IEEE SE Conference, March 22-23, 2024, Atlanta, GA.
• S. Talwalkar and C. L. Crooks, "Designing User-Centered Artificial Intelligence to Assist in Recovery from Domestic Abuse," 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), Las Vegas, NV, USA, 2023, pp. 375-377, doi: 10.1109/CSCE60160.2023.00066.
• Mrudul Dixit, Anuja Kale, Madhavi Narote, Sneha Talwalkar, and B. V. Barbadekar, "Fast Packet Classification Algorithms," International Journal of Computer Theory and Engineering vol. 4, no. 6, pp. 1030-1034, 2012.