Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

Published on by Research Scientist

Ms Naomi Y. Mbelekani | Human Factors | Best Researcher Award

Research Associate , School of Engineering and Design, Technical University of Munich , Germany

Naomi Y. Mbelekani πŸ‡©πŸ‡ͺ is a dynamic Research Associate at the School of Engineering and Design, Technical University of Munich πŸ›οΈ. Her work bridges the cutting edge of human factors engineering 🀝, AI πŸ€–, and automated vehicle systems πŸš—. Naomi is globally recognized for her innovative research in socially cognitive robots, behavioral adaptation, and human-computer interaction πŸ§ πŸ’». With a strong publication record and cross-continental collaborations 🌍, she continues to influence both academia and industry. Passionate about responsible technology development, Naomi inspires future researchers while pushing the boundaries of human-machine symbiosis πŸš€.

Professional Profile

SCOPUS

Education & Experience

Naomi holds a Ph.D. πŸŽ“ from the Technical University of Munich, specializing in AI and automation in human-centric systems πŸ”„. Her research and experience span Europe and Israel, including key roles in projects like SHAPE-IT and SOCRATES πŸ€–. She combines neuroscience, ergonomics, and robotics to tackle challenges in automated driving and robotic-human interaction πŸ›£οΈ. Naomi has worked with academic teams and industrial partners to design user-responsive technologies πŸ”§. Her interdisciplinary foundation in engineering, cognitive science, and project management ensures a comprehensive approach to problem-solving πŸ§ πŸ“˜.

Professional Development

Naomi’s career is a blueprint of continual learning and impact 🌱. Through Marie SkΕ‚odowska-Curie Actions πŸ‡ͺπŸ‡Ί, she gained high-level project management skills and collaborative leadership experience πŸ”¬. Her training includes neuroergonomics, human-computer interfaces, and adaptive automation πŸš€. She frequently engages in international conferences 🌍, publishes in leading journals πŸ“‘, and mentors early-stage researchers πŸ‘©β€πŸ«. Naomi’s participation in advanced workshops and policy-level research meetings shows her commitment to responsible tech integration and lifelong learning πŸ’‘. She is an emerging leader in human-centered design for future mobility and automation systems 🧩.

Research Focus Areas

Naomi’s research revolves around human-AI interaction 🀝, automated driving systems πŸš—, and socially assistive robotics πŸ€–. Her focus includes neuroergonomics 🧠, behavioral adaptation, and the long-term cognitive impact of automation 🧩. She investigates how users interact, adapt, and trust machines in dynamic environments, contributing to safer and more intuitive systems πŸ”„. Projects like SHAPE-IT and SOCRATES explore these issues in practical contextsβ€”bridging psychology, AI, and engineering πŸ’‘. Her research is critical for building ethical and human-responsive technology in public and private sectors πŸ“ˆ.

Awards & Honors

Naomi has received international recognition for her innovation and interdisciplinary research 🌍. She was a Marie SkΕ‚odowska-Curie Fellow πŸ‡ͺπŸ‡Ί under Horizon 2020, reflecting her excellence in collaborative EU research 🀝. Her impactful work on SHAPE-IT and SOCRATES has earned acclaim in academic and policy circles πŸŽ“πŸ›οΈ. Naomi’s peer-reviewed publications πŸ“š and public deliverables are widely cited and referenced. She has been nominated for the Best Researcher Award πŸ†β€”a testament to her global contribution to intelligent systems, automation, and human-centered design πŸš€. She continues to set standards in next-generation engineering and technology πŸŽ–οΈ.

Publication Top Notes

Title:
Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Technique:

Mbelekani, N. Y. (Year). Risk and Safety-Based Behavioural Adaptation Towards Automated Vehicles: Emerging Advances, Effects, Challenges and Techniques. Conference Proceedings. School of Engineering and Design, Technical University of Munich.

Conclusion

Naomi Y. Mbelekani exemplifies the qualities of a world-class researcher: interdisciplinary depth, real-world application, international collaboration, and forward-thinking leadership. Her impactful work in the evolving domains of automation, human factors, and responsible AI directly contributes to safer, smarter, and more human-centric technologies.