Hi, I am Sameep!
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About Me
About Me
I am Sameep Chattopadhyay, a first-year grad student at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Prof. Mari Ostendorf.
I have recently graduated from the Indian Institute of Technology Bombay with a B.Tech. + M.Tech. Dual Degree in Electrical Engineering with a minor in AI and Data Science.
During my time at IIT Bombay, I have been an undergraduate researcher at the Computational Speech and Language Technology (CSALT) Group under Prof. Preethi Jyothi and a member of the Stochastic Systems Lab (SSL), collaborating with Prof. Sharayu Moharir.
My research primarily focuses on machine learning for speech and multimodal applications. In the summer of 2024, I interned at the University of Texas at Austin under the guidance of Prof. Sandeep Chinchali. Supported by a fellowship from the Department of ECE, I worked on improving time-series forecasting with multimodal contextual information.
In addition to my research roles at IIT Bombay, I have also been actively involved with the Student Mentorship Program (SMP) as the Academic Cabinet Head (2024-25), leading the Academic Rehabilitation Program at IIT Bombay with 80 + mentors.
Publications & Preprints
A. Parulekar†, A. Gupta†, S. Chattopadhyay, P. Jyothi. “AMPS: ASR with Multimodal Paraphrase Supervision.” NAACL 2025. (Paper)
A. Gupta†, A. Parulekar†, S. Chattopadhyay†, P. Jyothi. “Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR.” EMNLP MRL Workshop 2025. (Paper)
S. Chattopadhyay, N. Karamchandani, S. Moharir. “Observation-free Attacks on Online Learning to Rank.” NeurIPS 2025 ACA Workshop (ORAL). (Paper)
S. Chattopadhyay, V. Sutar, J. P. Champati, S. Moharir. “Low-Regret and Low-Complexity Learning for Hierarchical Inference.” Arxiv. (Preprint)
S. Chattopadhyay†, P. Paliwal†, S. Narasimhan, S. Agarwal, S. Chinchali. “Context Matters: Leveraging Contextual Features for Time Series Forecasting.” Arxiv. (Preprint)
S. Chattopadhyay†, R. Gupta† , P. Paruchuri, D. Chatterjee. “An algorithmic recipe to construct Lyapunov functions for continuous vector fields.” Accepted at ANZCC 2024. (Paper)
†denotes equal contribution
Scholastic Achievements & Fellowships
Awarded Dora Zee Ling Fellowship by the Paul G. Allen School of Computer Science & Engineering (2025)
Received the Institute Silver Medal as the Valedictorian of the IIT B EE program in a batch of 99 (2025)
Conferred with Undergraduate Research Award for exemplary research done at IIT Bombay (2025)
Conferred with the Passing Out Color by IIT Bombay for service to the institute beyond academics (2025)
Awarded $10,000 fellowship by the University of Texas at Austin for Generative AI research (2024)
Awarded ¥400,000 fellowship by Kyushu Institute of Technology for Healthcare Robotics (2022)
Secured an All India Rank 355 in JEE Advanced and a percentile of 99.86 in JEE Mains (2020)
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