Manimehala Nadarajan

Universiti of Malaysia Sabah

Papers

7

Total Citations

25

H-Index

3

About

Manimehala Nadarajan is a researcher specializing in computer vision, robotic systems, and human-computer interaction, with particular expertise in face detection, biometric authentication, and automated visual inspection. Her work bridges the gap between advanced imaging technologies and practical robotic applications, making significant contributions to fields ranging from healthcare to industrial automation. Among her most notable contributions is her development of face detection and auto-positioning systems for robotic vision, alongside LabVIEW-based platforms for frontal and non-frontal human face recognition in complex environments — both works earning six citations each. Her research in automated visual inspection for industrial robots, utilizing color and shape identification, reflects her commitment to enhancing manufacturing precision and efficiency. Nadarajan has also demonstrated a strong interest in healthcare technology, contributing to the development of a Medical Tele-Diagnosis Robot that enables remote specialist consultations via internet-based navigation, as well as real-time biometric authentication systems for healthcare telepresence robots. Her work on early childhood educational robotics further illustrates the breadth of her interdisciplinary vision. Collectively, her research portfolio reflects a dedicated effort to make intelligent robotic and vision systems more accessible, reliable, and impactful across diverse real-world domains.

Research Focus

Key Achievements

3
H-Index
7
Papers
25
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Face Detection and Auto Positioning for Robotic Vision System
6 citations · 2015
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Universiti of Malaysia Sabah

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago