Raja Sengupta

University of California, Berkeley

Papers

7

Total Citations

107

H-Index

6

About

Raja Sengupta is a researcher whose work sits at the intersection of autonomous systems, aerial robotics, and smart urban infrastructure. His research spans unmanned aerial vehicles (UAVs), urban air mobility (UAM), cyber-physical systems, and intelligent transportation, making him a leading voice in shaping how autonomous technologies integrate into modern cities. Sengupta's most influential contribution examines the regulatory and technical barriers facing drones in smart cities, particularly through the lens of air traffic control — a paper that has accumulated 33 citations and remains a foundational reference in UAS policy discussions. His 2025 review of urban air mobility research challenges and opportunities (24 citations) demonstrates his sustained relevance in a rapidly evolving field. Early work on cooperative UAV platforms for surveillance and tracking (16 citations) established his credentials in autonomous systems hardware and software design. Notably, Sengupta pioneered the concept of cyber-physical cloud computing, proposing that mobile vehicles equipped with sensors could function as dynamic, spatially-aware computing servers — a visionary idea that bridges robotics and distributed computing. His more recent work on virtual reality environments for UAV-based structural inspection reflects a continued drive to push autonomous systems into real-world engineering applications. Across his career, Sengupta has consistently translated theoretical frameworks into practical, societally relevant innovations.

Research Focus

Key Achievements

6
H-Index
7
Papers
107
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Drones in smart cities: Overcoming barriers through air traffic control research
33 citations · 2015
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago