Research output per year
Research output per year
Personal profile
About
Professor Mandy Korpusik received her B.S. in Electrical and Computer Engineering from Franklin W. Olin College of Engineering in May, 2013. She completed her S.M. in Computer Science at MIT in June, 2015 and received her Ph.D. from MIT in June, 2019. Her primary research interests include natural language processing and spoken language understanding for dialogue systems. Professor Korpusik used deep learning models to build the Coco Nutritionist application for iOS that allows obesity patients to more easily track the food they eat by speaking naturally. Her long-term research goal is to deploy a collection of AI-based conversational agents that improve the health, well-being, and productivity of people.
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Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs
Gowda, S., Hu, Y. & Korpusik, M., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Impact of Late Policies on Submission Behavior and Grades in Computer Programming
Korpusik, M. B., Freitas, J. & Dionisio, J. D. N., Aug 23 2022, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Pacman Trainer: Classroom-Ready Deep Learning from Data to Deployment
Kitamura, M., Korpusik, M. B. & Forney, A., Aug 23 2022, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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A New Dataset for Natural Language Understanding of Exercise Logs in a Food and Fitness Spoken Dialogue System
Epps, M., Uribe, J. & Korpusik, M., Jan 19 2021, 2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1071-1078 8 p. 9383508. (2021 IEEE Spoken Language Technology Workshop, SLT 2021 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Use of Natural Spoken Language with Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study
Taylor, S., Korpusik, M., Das, S., Gilhooly, C., Simpson, R., Glass, J. & Roberts, S., Dec 2021, In: Journal of Medical Internet Research. 23, 12, e26988.Research output: Contribution to journal › Article › peer-review
Open Access