Simulation and Data Lab – Human–Computer Interaction

Dr. Nashmin Yeganeh is a researcher specializing in human–computer interaction (HCI), haptics, wearable systems, human-centred design, and assistive technologies for people with sensory impairments. She holds BSc and MSc degrees in Mechanical Engineering and a PhD in Industrial Engineering, specializing in human–computer interaction, from the Faculty of Industrial Engineering, Mechanical Engineering and Computer Science at the University of Iceland. Her doctoral research combined experimental psychophysics, human-centred design, and empirical user studies to design, develop, and evaluate VibroSleeve, a wearable vibrotactile device for forearm stimulation. Her research examines human sensory perception, tactile information processing, and individual differences, with the aim of advancing accessible interaction and intelligent assistive technologies. Her work contributes to adaptive haptic interfaces, sensory substitution systems, and wearable technologies that improve sensory accessibility, support human capabilities, and make interaction with technology more inclusive.

Dr. Reza Hassanian received his PhD in Computational Engineering from the University of Iceland. He holds BSc and MSc degrees in Mechanical Engineering and a second master's degree in Sustainable Energy Engineering from Reykjavik University. He is the Head of the Simulation and Data Lab, specializing in Computational Fluid Dynamics. He is a Senior Member of IEEE and a member of APS, EPS, and EUROMECH.

Since 2020, he has actively contributed to European Commission-funded projects, including Co-RAISE, EuroCC 1/2/3, EDIH 1.0/2.0, and the COST Actions SCALES and CIPHER. He is the Principal Investigator (PI) of DL4PL, a project developing physics-informed AI for complex systems, and serves as PI or co-PI on multiple research projects utilizing the LUMI high-performance computing (HPC) system. He also serves on scientific committees for international conferences and national events, including Hackathon 2025/2026, focused on developing agentic AI systems.

His research interests include renewable energy, Computational Fluid Dynamics, artificial intelligence, high-performance computing, and turbulent flows. His work combines applied AI for engineering applications with fundamental research in fluid mechanics and energy production.

Alongside his research, he teaches university courses in energy systems, AI, HPC, and fluid dynamics. He regularly presents his research findings and developments at international conferences and scientific meetings.

Chadi Barakat received his PhD in Bioengineering from the School of Engineering and Natural Sciences of the University of Iceland. He is a member of the Research Group AI and ML for Healthcare and the Center for Advanced Simulation and Analytics (CASA) Simulation Data Lab for Healthcare at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. He completed his B.Sc. in Computer and Communications Engineering at the American University of Science and Technology – Beirut, Lebanon and received his M.Sc. in Bioengineering from the University of Iceland.

His PhD work revolved around the application of Machine Learning and Deep Learning in medical applications, specifically in the diagnosis and treatment of Acute Respiratory Distress Syndrome (ARDS), and is currently making HPC-accelerated AI solutions available to industry partners in the Smart Data Innovation Services project.

Dr. Delphine Chadefaux has been an Associate Professor in biomechanics at Sorbonne Paris North University (USPN) since 2018, where she conducts her research at the Georges Charpak Human Biomechanics Institute. She obtained her PhD in engineering sciences, specializing in acoustics, from Sorbonne University in 2012, and her Habilitation to Direct Research (HDR) from USPN in 2026. Her research focuses on human exposure to shocks and vibrations, particularly in sports and disability contexts. She also investigates musician–instrument interaction, exploring the relationships between posture, movement, and musical expressiveness. She has co-supervised seven PhD students, published 30 peer-reviewed articles, and participated in more than 30 international conferences.