Assistant Professor
Electrical and Computer Engineering
Adjunct Faculty, Medical College of Wisconsin
Education
Ph.D., 2021, Computer Science, DePaul University, Chicago
M.S., 2010, Information Technology, University of Pune, India
Research Interests
- Biomedical data integration
- Artificial Intelligence
- Big data Analytics
- Machine learning
- Natural language processing
- Databases
- Distributed systems
- Information retrieval
Publications
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Omar Farghaly, Priya Deshpande, “Leveraging Machine Learning to Predict National Basketball Association Player Injuries�, 2024 IEEE International Workshop on Sport, Technology and Research (STAR), Lecco, Lake Como, Italy, July 2024.
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Iftakhar Ali Khandokar, Omar Farghaly, Priya Deshpande, “Towards Precision Diagnosis: Integrating Lexical Analysis and Deep Learning for Uncertainty Detection and Quantification in Clinical Reports�, 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), Guadalajara (Mexico), June 2024
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Omar Farghaly and Priya Deshpande “Texture-based classification to overcome uncertainty between COVID-19 and viral pneumonia using machine learning and deep learning techniques�, Diagnostics 14, no. 10 (2024): 1017, May 2024.
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Manir, Shamiha Binta, and Priya Deshpande, “Critical Risk Assessment, Diagnosis, and Survival Analysis of Breast Cancer�, Diagnostics 14, no. 10 (2024): 984, May 2024.
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Priya Deshpande and Alexander Rasin, “Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository�, Journal of Imaging Informatics in Medicine (2024): 1-15., JIIM, May 2024.
- Wolfrath N, Flitcroft MA, McConnell L, Maddula R, Verhagen NB, Clarke CN, Deshpande Priya, Kothari AN. “Varying Large Language Model Parameters Influence Detectability of AI-Generated Scientific Articles�, Academic Surgical Congress 2024, Washington D.C. Quickshot Presentation, 2024.
- Luke Richmond, Priya Deshpande, “Leveraging OpenAI’s Ada Embedding Model for Zero-Shot Classification�, in Text Retrieval Conference (TREC) Clinical Trials, TREC Proceedings, 2023.
- Daniel Chia, Priya Deshpande, “Impact and analysis of Long COVID on Cardiovascular disease�, IEEE BigData 2023 - Special Session on HealthCare Data, Sorrento, Italy, 2023.
- K M Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, and Priya Deshpande, “Auto completion of Chief Complaints in the Electronic Health Records using Large Language Models�, IEEE BigData 2023 - Special Session on HealthCare Data, Sorrento, Italy, 2023.
- Shamiha Binta Manir, Priya Deshpande “Student success analysis for minority students in higher education�, IEEE, Machine Learning on Big Data (MLBD 2023), Sorrento, Italy, 2023.
- Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela S. Raicu, Michiel Schinkel, Hari Trivedi, and Sameer Antani “Biomedical heterogeneous data categorization techniques towards data integration�, Frontiers in Big Data, 2023.
- Shamiha Binta Manir, Priya Deshpande “Prediction and analysis of the risk of developing breast cancer based on different demographic factors�, Society for Imaging Informatics in Medicine (SIIM).,2023, Austin, TX.
- Priya Deshpande, Alexander Rasin “Relevance-based semantic index for clinical data repository�, Society for Imaging Informatics in Medicine (SIIM), 2022, Kissimmee, FL. June 2022.
- Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Sameer Antani, and Daniela S. Raicu, “Enhancing Recall Using Data Cleaning for Biomedical Big Data�, IEEE 33rd International Symposium on Computer Based Medical Systems (CBMS), July 28-30, 2020, CBMS 2020.
- Priya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, and Daniela S. Raicu, “Ontology-based Radiology Teaching Files Summarization, Coverage, and Integrations�, Journal of Digital Imaging JDI, April 2020.
- Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli Brown, Jacob Furst, and Daniela S. Raicu, “Multimodal Ranked Search over Integrated Repository of Radiology Data Sources�, The 11th International Joint Conference on Knowledge Discovery and Information Retrieval (KDIR 2019), September 17-19, 2019, Vienna, Austria, KDIR 2019.
- Priya Deshpande “Biomedical Data Categorization and Integration using Human-in-the-loop Approach�, 45th International Conference on Very Large Data Bases (VLDB 2019), PhD workshop, August 26-30, 2019, Los Angeles, USA, VLDB 2019.
- Priya Deshpande “Biomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges�, The 42nd International ACM SIGIR Conference on Research Development in Information Retrieval, PhD Workshop, July 21-25, 2019, Paris, France, ACM SIGIR 2019.
- Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela S. Raicu, and Sameer Antani “DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles�, Data 2019, 4(2), 54; https://doi.org/10.3390/data4020054, MDPI Journal. This publication is featured for the showcase in the MDPI - DATA Journal issue cover of Volume 4, Issue 2 (June 2019)
- Priya Deshpande, Alexander Rasin, Eli Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, and Daniela S. Raicu, “Big Data Integration Case Study for Radiology Data Sources�, IEEE Life Sciences Conference (LSC 2018), October 28-30, 2018, Montreal, Canada, LSC 2018.
- Priya Deshpande, Alexander Rasin, Eli Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, and Daniela S. Raicu, “Augmenting Medical Decision Making with Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files�, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 8(2), 18-43, IJKDB 2018.
Honors and Awards
- Senior member of the Institute of Electrical and Electronics Engineers (IEEE).
- Northwestern Mutual Data Science Institute (NMDSI) mini-grant: â€�Towards a comprehensive framework and repository for documenting and assessing biases in using Large Language Models in health, PI Dr. Priya Deshpande, Co-PI: Dr. Praveen Madiraju at ÌÇÐÄvlogÃÛÌÒ, PI at UWM: Dr. Lu He, $100,000, 2024.
- MU SEED 2023:�Investigating Large Language Models for Improving Aphasia Patient’s care and Speech Recognition�, PI: Dr. Priya Deshpande, Co-I: Dr. William Gross (MCW), $52,000, 2024.
- Northwestern Mutual Data Science Institute (NMDSI) mini-grant:�Auto Completion of Chief Complaint�, PI: Dr. Priya Deshpande, Co-PIs: Dr. Praveen Madiraju, Dr. Carissa W Tomas (MCW), $50,000, 2023.
- Institute for Women’s Leadership (IWL) Faculty Fellow Research Cohort grant award at ÌÇÐÄvlogÃÛÌÒ, $5,500, 2023.
- Regular Research Grant (RRG), ÌÇÐÄvlogÃÛÌÒ, â€�Healthcare unstructured and heterogeneous data integrationâ€�, $4500, 2022.