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Personal vid Högskolan
Martin Cooney
Universitetslektor
(
Akademin för informationsteknologi
)
Arbetar med
MC's interest is recognition and behavior strategies for social robots intended to support well-being in interacting persons, which has resulted in writing about 40 papers on social robots, emotions and creativity, building about 20 robot prototypes, disseminating ideas in about 20 media articles, and receiving 10 awards in competitions.
Titles: Excellent Teacher, Docent (Associate Professor).
Assignments:
Programme Director for the Master's Programme in Information Technology (TAITE) and the Master's Programme in Embedded and Intelligent Systems (TAEIS) & Responsible examiner for the Design of Embedded and Intelligent Systems; Developer of Robots and AI for Teaching at our Pedagogical Center; Local Coordinator for the EU Remind Project at Halmstad University; Visiting Associate Professor at Nara Women’s University, Japan, and a Collaborative Researcher at Deep Interaction Laboratory Group (DIL), Interaction Science Lab (ISL), Agent Interaction Department (ID), Advanced Telecommunications Research Institute International (ATR), in Kyoto, Japan (Recently also head of KKS RELIFE and Visiting Researcher in Norway, Spain, and Italy (2017, 2018, 2020))
Knowledge and Skills:
Social Robotics, Human-Robot Interaction (HRI), Interaction Design, Intelligent Systems, Artificial Intelligence, Machine Learning, Computer Vision (Robot Vision, Thermal), Social Touch, Haptics, Affective Robotics (Emotions), Computational Creativity, Robot Art, Education Robotics (Edtech), Healthcare Robotics, Socially Assistive Robotics, Entertainment Robotics, Robot Ethics (Bias, Trust, Security, Sustainability), Robot Prototyping (Hardware and Electronics), Robot Software (e.g., Robot Operating System), Robot Recognition, Robot Behavior Generation, User Experience, Human-Computer Interaction (HCI), Mechatronics, Embedded Systems, Deep Learning
Some Recent Teaching:
Design of Embedded and Intelligent Systems, User Experience Design for AI, Fundamentals of Computer Vision with Deep Learning, Design for Extended Realities