Tathagata Das
Papers
2
Total Citations
39
H-Index
2
About
Tathagata Das is a leading researcher at the intersection of cyberphysical systems, big data, and real-time stream processing. His work addresses the fundamental challenge of controlling and analyzing large-scale, data-intensive systems—from robotics to urban infrastructure—by developing novel frameworks for estimation and computation using streaming data. In his highly cited 2013 study (36 citations), Das tackled the problem of arterial traffic estimation in large urban areas, demonstrating how sparse GPS traces from smartphones can be used to accurately predict drivers' travel times. This work showcased a framework capable of handling diverse traffic distributions and highlighted the shift from on-board to cloud-based processing for cyberphysical systems. Earlier foundational work (2012) further explored the latency requirements of such applications, arguing that current cloud solutions were inadequate for real-time control. Das’s contributions are pivotal for enabling smarter, more responsive cities and autonomous systems, proving that massive, streaming datasets can be harnessed for real-time decision-making in complex physical environments.
Research Focus
Key Achievements
Top Papers
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