Papers

3

Total Citations

26

H-Index

3

About

Sarmistha Neogy’s research bridges mobile robotics, sensor-based localization, and network security, with a focus on practical, real-world applications. Her most cited work, a 2022 survey on inertial sensor-based indoor localization systems (ILS) for smartphone users (15 citations), provides a comprehensive roadmap for leveraging ubiquitous smartphone sensors to solve the persistent challenge of indoor navigation—a critical enabler for IoT and smart environments. Earlier, in 2002, she tackled the ambitious goal of realizing an internal post-distributing mobile robot, directly addressing the skepticism that mobile robotics had “promised so much but produced so little.” Her work on control and localization for this application (8 citations) laid foundational insights for autonomous service robots in constrained indoor spaces. More recently, Neogy has explored securing mobile ad hoc networks (MANETs) using swarm-based techniques (2023, 3 citations), targeting the vulnerability of decentralized networks in domains from disaster rescue to defense. Her research consistently emphasizes deployable solutions—from smartphone-based navigation to resilient MANETs—making her a pragmatic voice in pervasive computing and robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Survey on inertial sensor-based ILS for smartphone users
15 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Jadavpur University, École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago