Topic

Farshid Amirabdollahian

Also published under:F. Amirabdollahian

Affiliation

Faculty of Engineering and Computer Science, the University of Hertfordshire, Hatfield

Topic

Human Activity Recognition,Human-robot Interaction,Humanoid Robot,Social Robots,Action Recognition,Social Skills,Team Members,Assistive Technology,Autism Spectrum,Causal Explanations,Human Activities,Human Behavior,Model Performance,Multi-view Data,Part Of The Game,Perception Of The Robot,Social Interaction Skills,Specific Animal,Upper Limb,Use Of Robots,Video Games,Visual Perspective,Accuracy Metrics,Accuracy Of Model,Action Recognition Datasets,Actual Cause,Adaptive Algorithm,Amount Of Assistance,Analysis Of Children,Analysis Of Variance Model,Angular Speed,Artificial Intelligence Applications,Artificial Intelligence Technology,Assessment For Learning,Assistive Tools,Attention Model,Beginning Of The Study,CNN Model,Calls For Further Research,Camera View,Categorical Cross-entropy,Causal Analysis,Causal Effect,Causal Model,Causality,Children Scored,Cognitive Development,Combination Of Sensors,Combined Data,Communication Skills,

Biography

Dr. Farshid Amirabdollahian received the Ph.D. degree from the Reading University School of Cybernetics, focusing on robot-mediated therapy for stroke rehabilitation, in 2004.
He is currently a Reader in Adaptive Systems at the School of Computer Science, University of Hertfordshire, Hertfordshire, U.K. He has undertaken research in assistive and rehabilitation robotics since 1999, by involvement in FP5/6/7 projects such as GENTLE/S, i-Match, LIREC, and ROBOSKIN. His research has a specific focus on adaptive and personalized training. He is currently coordinating the ACCOMPANY (FP7 STREP) and SCRIPT (FP7 STREP) projects while contributing to CORBYS (FP7 IP).
Dr. Amirabdollahian is a Member of the IEEE Engineering in Medicine amd Biology Society, the Robotics and Automation Society, and the Systems, Man, and Cybernetics Society.