Reza Rawassizadeh
Reza Rawassizadeh
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Email: rezar@bu.edu
Address: 1010 Commonwealth Avenue, 3rd Floor, 320, Boston, MA
Telephone: 617-3535296
[Google Scholar] [DBLP] [PubMed]
About me:
About me:
I am the author of "Machine Learning and Artificial Intelligence: Algorithms, Models and Concepts". Some chapters are shared online at Github. The hardcover print version is available on Amazon. I am an Associate Professor in the Department of Computer Science at Metropolitan College, Boston University. My research focuses on three main areas: developing low-power machine learning models and algorithms that can run efficiently on small devices with limited data; creating health-focused algorithms and applications to help users improve their physical well-being; and advancing digital health through public health studies and the analysis of medical data, including both images and text.
Research Interests: On-device machine learning, Ubiquitous Computing, Digital Health, Wearable Technologies
Recent public press and media coverage of my work
Recent public press and media coverage of my work
Democratizing Generative AI models - 2024 https://www.bu.edu/dli/projects/democratizing-generative-ai-models/?utm_campaign=dli_email_monthly&utm_source=headline_1&utm_medium=shipley_act_grants
Computer Science Research Team Wins Best Search UX Award for Fitness Tracker Chatbot - 2023 https://www.bu.edu/met/news/computer-science-research-team-wins-best-search-ux-award-for-fitness-tracker-chatbot
ODSearch enables users to communicate with their fitness tracker in plain natural language - 2023 https://www.growkudos.com/publications/10.1145%25252F3569488/reader
Selected Recent Publications
Selected Recent Publications
Wen, Q., Zeng, X., Zihan, Z., Shuaijin, L., Hosseinzadeh, M., & Rawassizadeh, R. (2025). GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping. https://arxiv.org/abs/2509.01842
Wang, H, Hosseinzadeh, M., & Rawassizadeh, R. (2025). TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization. https://arxiv.org/abs/2509.00914
Ejimuda, C. U., Longhitano, G., & Rawassizadeh, R. (2025). Analyzing the Resource Utilization of Lambda Functions on Mobile Devices: Case Studies on Kotlin and Swift. IEEE Pervasive Computing 24.2 (2025): 48-51.
Wen, Q., Kochhar, P., Zeyada, S., Javaheri, T., & Rawassizadeh, R. (2025). From Clicks to Conversations: Evaluating the Effectiveness of Conversational Agents in Statistical Analysis. to appear in International Journal of Human-Computer Interaction.
Lu, H., Alemi, M. and Rawassizadeh, R. (2024) The Impact of Quantization and Pruning on Deep Reinforcement Learning Models. https://arxiv.org/abs/2407.04803
Please check my Google Scholar to see a full list of my works.
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