Research Associate , School of Engineering and Design, Technical University of Munich , Germany
Naomi Y. Mbelekani ๐ฉ๐ช is a dynamic Research Associate at the School of Engineering and Design, Technical University of Munich ๐๏ธ. Her work bridges the cutting edge of human factors engineering ๐ค, AI ๐ค, and automated vehicle systems ๐. Naomi is globally recognized for her innovative research in socially cognitive robots, behavioral adaptation, and human-computer interaction ๐ง ๐ป. With a strong publication record and cross-continental collaborations ๐, 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 ๐.
Professional Profile
SCOPUS
Education & Experience
Naomi holds a Ph.D. ๐ from the Technical University of Munich, specializing in AI and automation in human-centric systems ๐. Her research and experience span Europe and Israel, including key roles in projects like SHAPE-IT and SOCRATES ๐ค. She combines neuroscience, ergonomics, and robotics to tackle challenges in automated driving and robotic-human interaction ๐ฃ๏ธ. Naomi has worked with academic teams and industrial partners to design user-responsive technologies ๐ง. Her interdisciplinary foundation in engineering, cognitive science, and project management ensures a comprehensive approach to problem-solving ๐ง ๐.
Professional Development
Naomi’s career is a blueprint of continual learning and impact ๐ฑ. Through Marie Skลodowska-Curie Actions ๐ช๐บ, she gained high-level project management skills and collaborative leadership experience ๐ฌ. Her training includes neuroergonomics, human-computer interfaces, and adaptive automation ๐. She frequently engages in international conferences ๐, publishes in leading journals ๐, and mentors early-stage researchers ๐ฉโ๐ซ. Naomiโs participation in advanced workshops and policy-level research meetings shows her commitment to responsible tech integration and lifelong learning ๐ก. She is an emerging leader in human-centered design for future mobility and automation systems ๐งฉ.
Research Focus Areas
Naomiโs research revolves around human-AI interaction ๐ค, automated driving systems ๐, and socially assistive robotics ๐ค. Her focus includes neuroergonomics ๐ง , behavioral adaptation, and the long-term cognitive impact of automation ๐งฉ. She investigates how users interact, adapt, and trust machines in dynamic environments, contributing to safer and more intuitive systems ๐. Projects like SHAPE-IT and SOCRATES explore these issues in practical contextsโbridging psychology, AI, and engineering ๐ก. Her research is critical for building ethical and human-responsive technology in public and private sectors ๐.
Awards & Honors
Naomi has received international recognition for her innovation and interdisciplinary research ๐. She was a Marie Skลodowska-Curie Fellow ๐ช๐บ under Horizon 2020, reflecting her excellence in collaborative EU research ๐ค. Her impactful work on SHAPE-IT and SOCRATES has earned acclaim in academic and policy circles ๐๐๏ธ. Naomiโs peer-reviewed publications ๐ and public deliverables are widely cited and referenced. She has been nominated for the Best Researcher Award ๐โa testament to her global contribution to intelligent systems, automation, and human-centered design ๐. She continues to set standards in next-generation engineering and technology ๐๏ธ.
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.