Amol Deshpande

Portrait of Amol Deshpande

Amol Deshpande

Co-Director, Master of Science in Applied Machine Learning

Professor, Computer Science

Prof. Deshpande is a Professor in the Department of Computer Science at the University of Maryland at College Park, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He received my MS and PhD Degrees in Computer Science from the University of California at Berkeley in 2001 and 2004 respectively, and his B.Tech., Degree from the Indian Institute of Technology, Bombay in 1998.

His research has spanned a spectrum of data management topics including query optimization, adaptive query processing, sensor network data management, scalable statistical modeling of data, uncertain data management, and graph databases. He has written more than 80 research publications, and has received best paper awards at the VLDB 2004, EWSN 2008, and VLDB 2009 conferences. He received a National Science Foundation (NSF) CAREER award in 2006, which is given to outstanding junior faculty who exemplify the role of teacher-scholars so they can further their research in their areas of expertise. He has served as a program committee member for many conferences in databases, systems, and sensor networks, and he is on the editorial boards for the Journal of Distributed and Parallel Databases, ACM TODS Journal, IEEE Transactions on Cloud Computing, and VLDB Journal. He has also served as a program committee Co-Chair for ACM SIGMOD 2019, and a program committee vice-chair for the IEEE International Conference on Data Mining (ICDM) in 2008, IEEE International Conference on Data Engineering (ICDE) in 2011 and 2013, ACM SIGMOD Conference 2016, and PVLDB 2017, 2019, 2023, and 2024.

Latest Papers

TreeCat: Standalone Catalog Engine for Large Data Systems

| Proceedings of the VLDB Endowment
Author(s): Keonwoo Oh, Pooja Nilangekar, Amol Deshpande


Optimizing Queries with Many-to-Many Joins

| 2025 IEEE 41st International Conference on Data Engineering (ICDE)
Author(s): Hasara Kalumin, Amol Deshpande


Modern Techniques For Querying Graph-structured Databases

| Foundations and Trends® in Databases
Author(s): Amine Mhedhbi, Amol Deshpande, Semih Salihoğlu


ε-Differential Privacy, and a Two Step Test for Quantifying Reidentification Risk

| SSRN Electronic Journal
Author(s): Nathan Reitinger, Amol Deshpande


The SIGMOD 2019 Research Track Reviewing System

| ACM SIGMOD Record
Author(s): Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, et. al


Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization

| 2019 IEEE 35th International Conference on Data Engineering (ICDE)
Author(s): Hui Miao, Amol Deshpande


NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets

| ACM SIGMOD Record
Author(s): Lisa Singh, Amol Deshpande, Wenchao Zhou, et. al


In situ graph querying and analytics with graphgen

| Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)


RStore: A Distributed Multi-Version Document Store

| 2018 IEEE 34th International Conference on Data Engineering (ICDE)
Author(s): Souvik Bhattacherjee, Amol Deshpande


ProvDB

| Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics
Author(s): Hui Miao, Amit Chavan, Amol Deshpande