Education
đź“š Dr. Hmede holds a European Ph.D. in Engineering with expertise in AI and material science from UniversitĂ© Clermont Auvergne, France (2023). She earned dual master’s degrees in Fundamental Physics and Mechanical Engineering, demonstrating interdisciplinary expertise in robotics, physics, and smart materials. Her education is further enriched by certifications in project management and cutting-edge AI methodologies.
Experience
🛠️ Dr. Hmede’s career spans academic and industrial roles. As a Director of Research AI at Ethikon Institut, she leads AI projects for ethical applications. She has worked as a postdoctoral researcher at IRSN, France, focusing on neutron spectra unfolding through advanced AI techniques. At Université Clermont Auvergne, she managed a Ph.D. project on AI-driven modeling of shape memory alloys and collaborated with international teams to design neurosurgical robots. Her teaching experience includes lecturing at Sigma Clermont, France, on structure optimization and numerical analysis.
Research Interests
🔍 Dr. Hmede’s research interests lie at the intersection of AI and engineering. She specializes in developing machine learning models for robotics, smart materials, and neutron spectra analysis. Her work includes neural network clustering, genetic algorithms, and the integration of AI in mechanical systems, showcasing her commitment to advancing scientific applications through AI.
Awards
🏆 Dr. Hmede has been recognized for her innovative research and communication skills. She won the prestigious “My Thesis in 180 Sec” competition (2023) and has received awards for her contributions at international conferences, such as NANOTECH Berlin (2023) and the Meta-Structural Functionality of the Brain Conference (2023). Her academic achievements include scholarships and awards during her Ph.D. and master’s programs.
Publications Top Notes:
📖 Dr. Hmede’s impactful research is reflected in her publications across reputable journals and conferences:
“Review of Neural Network Modeling of Shape Memory Alloys” (2023) – Sensors (Cited by 35 articles) | DOI Link
“Modeling the Butterfly Behavior of SMA Actuator using Neural Network” (2023) – Comptes Rendu MĂ©canique (Cited by 28 articles) | DOI Link
“A Minireview on Brain Models Simulating Properties of the Human Brain” (2022) – Frontiers in Bioengineering and Biotechnology (Cited by 40 articles) | DOI Link