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
-
Omar Farghaly, Priya Deshpande, 鈥淟everaging Machine Learning to Predict National Basketball Association Player Injuries鈥, 2024 IEEE International Workshop on Sport, Technology and Research (STAR), Lecco, Lake Como, Italy, July 2024.
-
Iftakhar Ali Khandokar, Omar Farghaly, Priya Deshpande, 鈥淭owards Precision Diagnosis: Integrating Lexical Analysis and Deep Learning for Uncertainty Detection and Quantification in Clinical Reports鈥, 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), Guadalajara (Mexico), June 2024
-
Omar Farghaly and Priya Deshpande 鈥淭exture-based classification to overcome uncertainty between COVID-19 and viral pneumonia using machine learning and deep learning techniques鈥, Diagnostics 14, no. 10 (2024): 1017, May 2024.
-
Manir, Shamiha Binta, and Priya Deshpande, 鈥淐ritical Risk Assessment, Diagnosis, and Survival Analysis of Breast Cancer鈥, Diagnostics 14, no. 10 (2024): 984, May 2024.
-
Priya Deshpande and Alexander Rasin, 鈥淐orrelation Aware Relevance-Based Semantic Index for Clinical Big Data Repository鈥, 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. 鈥淰arying Large Language Model Parameters Influence Detectability of AI-Generated Scientific Articles鈥, Academic Surgical Congress 2024, Washington D.C. Quickshot Presentation, 2024.
- Luke Richmond, Priya Deshpande, 鈥淟everaging OpenAI鈥檚 Ada Embedding Model for Zero-Shot Classification鈥, in Text Retrieval Conference (TREC) Clinical Trials, TREC Proceedings, 2023.
- Daniel Chia, Priya Deshpande, 鈥淚mpact and analysis of Long COVID on Cardiovascular disease鈥, IEEE BigData 2023 - Special Session on HealthCare Data, Sorrento, Italy, 2023.
- K M Sajjadul Islam, Ayesha Siddika Nipu, Praveen Madiraju, and Priya Deshpande, 鈥淎uto completion of Chief Complaints in the Electronic Health Records using Large Language Models鈥, IEEE BigData 2023 - Special Session on HealthCare Data, Sorrento, Italy, 2023.
- Shamiha Binta Manir, Priya Deshpande 鈥淪tudent success analysis for minority students in higher education鈥, 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 鈥淏iomedical heterogeneous data categorization techniques towards data integration鈥, Frontiers in Big Data, 2023.
- Shamiha Binta Manir, Priya Deshpande 鈥淧rediction and analysis of the risk of developing breast cancer based on different demographic factors鈥, Society for Imaging Informatics in Medicine (SIIM).,2023, Austin, TX.
- Priya Deshpande, Alexander Rasin 鈥淩elevance-based semantic index for clinical data repository鈥, 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, 鈥Enhancing Recall Using Data Cleaning for Biomedical Big Data鈥, 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, 鈥Ontology-based Radiology Teaching Files Summarization, Coverage, and Integrations鈥, Journal of Digital Imaging JDI, April 2020.
- Priya Deshpande, Alexander Rasin, Fang Cao, Sriram Yarlagadda, Eli Brown, Jacob Furst, and Daniela S. Raicu, 鈥淢ultimodal Ranked Search over Integrated Repository of Radiology Data Sources鈥, The 11th International Joint Conference on Knowledge Discovery and Information Retrieval (KDIR 2019), September 17-19, 2019, Vienna, Austria, KDIR 2019.
- Priya Deshpande 鈥淏iomedical Data Categorization and Integration using Human-in-the-loop Approach鈥, 45th International Conference on Very Large Data Bases (VLDB 2019), PhD workshop, August 26-30, 2019, Los Angeles, USA, VLDB 2019.
- Priya Deshpande 鈥淏iomedical Heterogeneous Data Integration and Rank Retrieval using Data Bridges鈥, 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 鈥淒iiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles鈥, 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, 鈥Big Data Integration Case Study for Radiology Data Sources鈥, 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, 鈥淎ugmenting Medical Decision Making with Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files鈥, 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: 鈥漈owards 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 向日葵视频, PI at UWM: Dr. Lu He, $100,000, 2024.
- MU SEED 2023:鈥滻nvestigating Large Language Models for Improving Aphasia Patient鈥檚 care and Speech Recognition鈥, PI: Dr. Priya Deshpande, Co-I: Dr. William Gross (MCW), $52,000, 2024.
- Northwestern Mutual Data Science Institute (NMDSI) mini-grant:鈥滱uto Completion of Chief Complaint鈥, PI: Dr. Priya Deshpande, Co-PIs: Dr. Praveen Madiraju, Dr. Carissa W Tomas (MCW), $50,000, 2023.
- Institute for Women鈥檚 Leadership (IWL) Faculty Fellow Research Cohort grant award at 向日葵视频, $5,500, 2023.
- Regular Research Grant (RRG), 向日葵视频, 鈥滺ealthcare unstructured and heterogeneous data integration鈥, $4500, 2022.