Sudarshan Chawathe

Sudarshan Chawathe
Occupation	Computer scientist

Sudarshan Chawathe is a computer scientist affiliated with the University of Maine (Orono). His work spans data integration, sensor-based inference, and machine learning applications for classification tasks.

Research

According to Semantic Scholar, Chawathe has published 116 papers that have collectively been cited 4,570 times, yielding an h-index of 23. His recent research has focused on applying sensor data and machine learning to problems including human occupancy detection, electrical load disaggregation, and automated classification of agricultural and biological materials.

Chawathe has received three grants from the National Science Foundation totaling $1,147,087. These include a CAREER award for "Evolving Heterogeneous Autonomous Databases," received while at the University of Maryland, College Park in 2000, and an ITR award for "Knowledge Discovery in Historical Semistructured Data," also at the University of Maryland, College Park in 2000. In 2010, while at the University of Maine, he received a CDI-Type I award for "CiiWork: an interactive workbench for integration, exploration, and analysis of chronological information."

Selected publications

• "Human Occupancy From Few Diverse Sensors" (2024), 2024 IEEE World AI IoT Congress (AIIoT)
• "Pragmatic Domestic Electrical Load Disaggregation" (2023), Computing and Communication Workshop and Conference
• "Automated Determination of Mushroom Edibility Using an Augmented Dataset" (2022), 2022 IEEE World AI IoT Congress (AIIoT)
• "Optical Features for Automated Determination of Agricultural Product Varieties" (2022), 2022 IEEE World AI IoT Congress (AIIoT)
• "Attribute Selection and Visualization for Classification for Small Molecules" (2022), Ubiquitous Computing, Electronics & Mobile Communication Conference
• "Predicting Bicycle Package Delivery Demand Using Historical Spatiotemporal Data" (2022), Computing and Communication Workshop and Conference
• "Inferring Human Activity Using Wearable Sensors" (2021), Ubiquitous Computing, Electronics & Mobile Communication Conference
• "Explainable Predictions of Industrial Emissions" (2021), 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
• "Characterizing Shoulder Implants in X-Ray Images" (2021)
• "Human-Understandable Classifiers for COPD from Biosensor Data" (2021)

External links

• Semantic Scholar
• National Science Foundation