Shashwati Kasetty
Papers
1
Total Citations
32
H-Index
1
About
Shashwati Kasetty is a leading researcher in data mining and sensor-based computing, with a primary focus on real-time analytics and resource-constrained environments. Her seminal work, "Real-Time Classification of Streaming Sensor Data" (2008, 32 citations), pioneered efficient algorithms for processing time-series data directly on sensor devices—a critical advancement at a time when most classification methods assumed offline, main-memory processing. This contribution addressed the growing need for lightweight, on-device intelligence in the face of exploding sensor deployments, enabling faster decision-making and reduced data transmission. Kasetty’s research has been instrumental in bridging the gap between theoretical data mining and practical, low-power implementations, influencing fields from environmental monitoring to healthcare. Her work is widely recognized for its impact on real-time systems, earning her a reputation as a key innovator in streaming data classification. By tackling the challenges of memory and computational constraints head-on, Kasetty has helped shape the future of edge computing and IoT analytics.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Classification of Streaming Sensor Data32 citations · 2008