Zeba Khanam

University of Essex

Papers

3

Total Citations

22

H-Index

3

About

Zeba Khanam is a robotics researcher specializing in autonomous systems for hazardous environments, with a focus on radiation-tolerant perception and efficient path planning. Her work addresses critical challenges in deploying robots for nuclear site inspection, where gamma radiation degrades vision sensors. In her most-cited paper (15 citations), she systematically analyzed gamma-induced image degradation in CMOS cameras, providing foundational insights for developing resilient robot vision systems—a key enabler for safe, autonomous nuclear decommissioning and monitoring. Khanam also advanced aerial robotics with a near-optimal coverage path planning algorithm for distributed regions under energy constraints (4 citations), and developed an offline-online strategy for goal-oriented coverage using a priori information (3 citations), enabling mobile robots to navigate time-critical indoor missions. Her research bridges sensor robustness and algorithmic efficiency, directly supporting real-world deployment in extreme environments. With all three major papers published in 2021, Khanam has quickly established herself as a rising contributor to field robotics, offering practical solutions that enhance autonomy and safety in nuclear, search-and-rescue, and environmental monitoring applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
22
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Gamma-Induced Image Degradation Analysis of Robot Vision Sensor for Autonomous Inspection of Nuclear Sites
15 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Essex

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago