Assistant Professor
Department of Computer Science
Dr. Kanchan Chowdhury鈥檚 research focuses on building novel systems and optimizing data science pipelines with an emphasis on large-scale geospatial and spatiotemporal datasets. He conducts research focusing on the applications of both vector and raster geospatial datasets.
Courses Taught
- COSC 4600: Fundamentals of Artificial Intelligence
Research Interests
- Machine Learning Systems
- Database Systems
- Geospatial Data Analytics
Publications
- Kanchan Chowdhury, Lulu Xie, Lixi Zhou, Jia Zou; ExBoost: Out-of-Box Co-Optimization of Machine Learning and Join Queries. Database Systems for Advanced Applications (DASFAA), 2025.
- Hong Guan, Lixi Zhou, Lei Yu, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, Jia Zou; Privacy and Accuracy-Aware AI/ML Model Deduplication. ACM SIGMOD International Conference on management of Data, 2025.
- Kanchan Chowdhury, Mohamed Sarwat; Deep Learning with Spatiotemporal Data: A Deep Dive into GeotorchAI. 40th International Conference on Data Engineering (ICDE), 2024
- Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Jia Zou; Serving Deep Learning Models from Relational Databases. 27th International Conference on Extending Database Technology (EDBT), 2024.
- Kanchan Chowdhury, Mohamed Sarwat; A Demonstration of GeoTorchAI: A Spatiotemporal Deep Learning Framework. ACM SIGMOD International Conference on Management of Data, 2023 (Demo Track).
- Kanchan Chowdhury, Vamsi Meduri, Mohamed Sarwat; A Machine Learning-Aware Data Re-partitioning Framework for Spatial Datasets. 38th International Conference on Data Engineering (ICDE), 2022.
- Kanchan Chowdhury, Mohamed Sarwat; GeoTorch: A Spatiotemporal Deep Learning Framework. 30th International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2022 (Short Paper).
- Vamsi Meduri, Kanchan Chowdhury, Mohamed Sarwat; Evaluation of Machine Learning Algorithms in Predicting the Next SQL Query From the Future. ACM Transactions on Database Systems (TODS), 2021.
- Jia Yu, Kanchan Chowdhury, Mohamed Sarwat; Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization dashboards. Proceedings of the VLDB Endowment 13, 2020 (Demo Track).
- Vamsi Meduri, Kanchan Chowdhury, Mohamed Sarwat; Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction. International Conference on EDBT, 2019 (Short Paper).
