˜ˇÍ¸˛Ę

Dr. Priya Deshpande
Dr. Priya Deshpande˜ˇÍ¸˛Ę

Olin Engineering, 522

MilwaukeeWI53201United States of America414-288-6162

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, “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.

  • 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

  • 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.

  • Manir, Shamiha Binta, and Priya Deshpande, “Critical Risk Assessment, Diagnosis, and Survival Analysis of Breast Cancer”, Diagnostics 14, no. 10 (2024): 984, May 2024.

  • 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: ”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 ˜ˇÍ¸˛Ę, PI at UWM: Dr. Lu He, $100,000, 2024.
  • ˜ˇÍ¸˛Ę 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 ˜ˇÍ¸˛Ę, $5,500, 2023.
  • Regular Research Grant (RRG), ˜ˇÍ¸˛Ę, ”Healthcare unstructured and heterogeneous data integration”, $4500, 2022.

Quick Links

CONTACT

Dr. Majeed M. Hayat
Chair and Professor
Phone: (414) 288-6820
Fax: (414) 288-7082
majeed.hayat@marquette.edu

˜ˇÍ¸˛Ę
Electrical and Computer Engineering Department
Olin Engineering Room 206
1515 W. Wisconsin Avenue
Milwaukee, WI 53233

Opus College of Engineering

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