Professor, Lab Director
Ginevra Castellano is a Professor at the Department of Information Technology, Uppsala University, where she leads the Social Robotics Lab. Her research interests are in the areas of social robotics and affective computing, and include social learning, personalized adaptive robots, multimodal behaviours and uncanny valley effect in robots and virtual agents. Over the last ten years she has been working on the development of computational abilities that allow robots to behave in a socially intelligent way in scenarios where robots provide social support to humans, for example as tutors in the classroom or as companions for children.
Katie Winkle is an Assistant Professor at the Department of Information Technology, Uppsala University, where she is developing new lines of research around trustworthy Human Robot Inteaction (and what that means) at the Social Robotics Lab. Her research interests cover the design, development, evaluation and application of socially assistive robotics, with a focus on human-in-the-loop design/development and mutual shaping approaches which recognise the two-way interaction between robots and society.
Didem Gürdür Broo
Didem Gurdur Broo is an Assistant Professor at the Department of Information Technology, Uppsala University. She is working with cyber-physical systems including industrial robotics and autonomous systems. Her research aims to provide new prototypes, tools, methods and methodologies to design future intelligent and autonomous systems more sustainable and human-centric through better data science practices and mindset shift.
Ana Tanevska is a postdoctoral researcher at the Department of Information Technology, Uppsala University, within the Horizon Europe project SymAware. Their research at the Social Robotics Lab is grounded in the topic of trustworthy human-robot interaction with a particular focus on human-in-the-loop learning and shared autonomy and agency in HRI. In addition to trustworthy HRI, Ana’s research interests also include cognitive robotics (with a spotlight on the role of affect in cognition) and socially-assistive HRI.
Natalia is a postdoctoral researcher at the Department of Information Technology, Uppsala University. With a background in mechatronics and robotics engineering, and a Ph.D. in Computer Science acquired through the MSCA ITN program Horizon 2020, her research focuses on developing fair and transparent algorithms for intelligent robots and diverse autonomous systems. She follows a multidisciplinary approach encompassing deep learning, human-robot interaction, robot manipulation tasks, and conversational interfaces. In a world where robots can actively assist humans, she aims to contribute to shaping the future of autonomous technology, fostering a society where these systems operate with fairness, accountability, and ethics at their core.
Marc Fraile is a Ph.D. candidate under the Centre for Interdisciplinary Mathematics (CIM) at Uppsala University. He conducts his research in Uppsala Social Robotics Lab, in close collaboration with the Methods for Image Data Analysis (MIDA) group. His interests lie in developing explainable AI (XAI) methods, and applying those to make more trustable machines.
Mengyu Zhong is a PhD student in the Social Robotics Lab. She received an MSc in IT and Cognition from the University of Copenhagen in 2021. She believes that AI-powered robots are changing the world and will free humans from trivial and repetitive works. Her work is focused on data-driven socially assistive robotics, and it is part of the Project funded by WoMHeR. She is interested in human-robot interaction, multi-modal deep learning, and especially robot-assisted medical diagnosis.
Lux Miranda is a PhD student in the Social Robotics Lab. She wants to use the power of ethics, AI, and robotic embodiment to remedy existential dangers and transform society into a more sustainable and compassionate place. With a background drawing from complexity science, anthropology, cognitive science, and computational modeling, their current work is focused on the ethics and diversification of robot identity construction, AI alignment, feminist robot design, the dynamics of social intelligence, and illuminating the world.
Alessio Galatolo is a PhD student at the Social Robotics Lab. He received his MSc degree in Machine Learning at KTH, Stockholm in 2022. His work directly targets diabetes prevention using social robots as part of the PREVENT project. His research interests involve the use of AI and ML to give robots the social intelligence needed to personalise and improve their interaction to a specific user, also considering the ethical risks and social consequences involved.
Vanessa Noack (she/they) is a PhD candidate at the Centre for Gender Research at Uppsala University. Vanessa received an MSSc and MA degree with a major in Gender Studies in 2020 and 2021. In their project Gender, Embodiment and Technology, she pays particular attention to how gender is mobilised in a technologised context by drawing on three case studies. The case studies include an analysis of gender in relation to different robots, such as the wearable robots called exoskeletons. Vanessa is also the Equal Opportunities Officer at the Centre for Gender Research at Uppsala University and takes part in the research group Technologization of the Everyday.
Laetitia Tanqueray is a PhD Candidate at the Department of Technology and Society at Lund University, co-supervised by Katie Winkle in the Uppsala Social Robotics Lab. Laetitia holds law degrees (LLB and Master 1) and a Master’s (MSc) in Sociology of Law. She investigates human-robot interactions (HRI) from a socio-legal lens. Her published work has mostly focused on informing HRI design, including in collaboration with HRI experts and in the domain of healthcare.
Anastasia Akkuzu, Master’s student
Sebastian Wallkötter, Ph.D.
Maike Paetzel, Ph.D.
Yuan Gao, Ph.D.
Giulia Perugia, Postdoc
Mohammad Obaid, Researcher
Piercosma Bisconti Lucidi, Visiting Ph.D.
Elena Lechuga Redondo, Visiting Ph.D.