Access Menu
This competition is organised by leading researchers in machine learning, signal processing, and human perception:
Mohammad Mahdi Dehshibi (Universidad Carlos III de Madrid, Spain)
Mohammad Mahdi Dehshibi (IEEE Senior Member and ELLIS Member) received his PhD in AI in 2017 from Iran. His research, reflected in over 80 publications, explores Deep Learning, AI in Health, Affective Computing, and Unconventional Computing. Mohammad is currently leading the data modelling work package of the BODYinTRANSIT ERC-funded project at Universitat Carlos III de Madrid. He is a visiting researcher at the Unconventional Computing Laboratory (UWE, Bristol) and a member of the editorial board for the International Journal of Parallel, Emergent, and Distributed Systems.
Tomás Martínez Cortés (Universidad Carlos III de Madrid, Spain)
Tomás Martínez Cortés is a Data Scientist and Computer Vision expert. He holds a Ph.D. in Deep Learning and Computer Vision (Cum Laude) from Carlos III University of Madrid, where he currently serves as a researcher in the Department of Computer Science. Tomás has spearheaded various cutting-edge projects, such as developing AI systems for road surveillance (SmartPilot), creating assistive robotics for mobility-impaired individuals (Companion), and leading innovation in rescue robotics (Telerescuer). His technical expertise spans designing and training advanced Deep Neural Networks, multimedia systems, and hardware-software integration for distributed and embedded platforms.
Fernando Díaz-de-María (Universidad Carlos III de Madrid, Spain)
Fernando Díaz-de-María is a Professor in the Department of Signal Processing and Communications at Universidad Carlos III de Madrid (UC3M), where he also directs the Bachelor’s programs in Data Science and Engineering. He received his Telecommunication Engineering degree and PhD from the Universidad Politécnica de Madrid. After lecturing at the Universidad de Cantabria and the Universidad Politécnica de Madrid, he joined UC3M in 1996. His research focuses on deep learning, image/video processing, and computer vision. He is an award-winning researcher with over 100 publications and has supervised fifteen PhD theses.
Nadia Bianchi-Berthouze (University College London, UK)
Nadia Bianchi-Berthouze is a Professor of Affective Computing and Interaction. Her research focuses on developing emotion-aware technologies, bridging machine learning and HCI perspectives. Her work has resulted in over 300 publications in affective computing, human-computer interaction, and pattern recognition. Her research explores real-world applications in areas such as rehabilitation (e.g., EPSRC-funded Emo&Pain, H2020-funded EnTimeMent), tactile experience (EPSRC-funded Technology Circularity Centre), and manufacturing (H2020 HU-MAN Manufacturing).
Ana Tajadura-Jiménez (Universidad Carlos III de Madrid, Spain)
Ana Tajadura-Jiménez is an Associate Professor at the Department of Computer Science and Engineering of Universidad Carlos III de Madrid (UC3M), where she leads the i_mBODY lab (www.imbodylab.com). She received a degree in telecommunication engineering from the Universidad Politécnica de Madrid, Spain, in 2002 and a PhD from Chalmers University of Technology, Spain, in 2008. She has published extensively in psychoacoustics, cognitive neuroscience, affective computing, and HCI. Her projects, e.g. ESRC-funded The Hearing Body, AEI-funded Magic Shoes, Magic outFit and SENSEBEAT, focus on the use of body tracking and sensory feedback technologies for creating “Body Transformation Experiences” in which body perception, behaviour, and emotion are modulated and in their applications for real-life contexts. Her current H2020-funded ERC project, “BODYinTRANSIT”, aims to establish a new fundamental knowledge base about Body Transformation Experiences using wearable sensor-based sensory feedback devices.