I care about the future of the world and nature. I am a computer scientist who aims to make future cyber-physical systems interoperable and sustainable. I am a change maker, who wants to bring new perspectives on designing the future intelligent machines. I am an analytical thinker with a passion for design thinking, a researcher with a future perspective, an engineer who likes problems more than solutions, and a teacher who likes to play during lectures.
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, 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.
I am fascinated by how the human mind processes interactions with advanced technologies, whether they be avatars in virtual environments, social robots at home, or autonomous vehicles in traffic. I am an engineering psychologist who is intent on facilitating the adoption of innovative and sustainable technologies to improve user performance and experience without losing sight of the big picture.
Ronald Cumbal is a postdoctoral researcher at Uppsala University's Department of Information Technology, where he is also a member of the Social Robotics Lab. His research focuses on how humans interact with robots using speech, especially in group and multicultural settings. He earned his doctorate from KTH Royal Institute of Technology, studying how social robots can help with second language learning. Previously, he completed his master's degree at TU Delft, where he worked on socially-aware robot navigation.
NIU Xuezhi is currently pursuing a Ph.D. in information technology at Uppsala University, with a focus on cooperation, intelligence and autonomy for cyber-physical systems. He is passionate about the integration of mechanical and electronic systems, as well as embedded control systems. Prior to commencing his Ph.D. journey, he earned a Master's degree in mechatronics from KTH Royal Institute of Technology, and completed his bachelor's degree in mechatronics at City University of Hong Kong and National University of Singapore. This academic path has equipped him with extensive expertise in mechanical and electronic engineering, robotics, control theory, and various related fields. Following a multidisciplinary approach that encompasses deep learning, control theory, robot locomotion, and autonomous systems, he aims to advance the field by exploring how cyber-physical systems can collaborate effectively, benefiting both academia and industry while fostering innovation.
The Cyber-Physical Systems Lab proudly welcomes 5-10 master's thesis students each year as integral members of our research community. We value the fresh perspectives and enthusiasm these students bring to our work, creating a vibrant environment of mutual learning and discovery. Through close collaboration with our researchers, students engage in cutting-edge projects while developing their research skills and expertise. We're always excited to meet new students interested in joining our lab, and we encourage you to explore the diverse range of projects completed by our current and former students below. These projects showcase the breadth and depth of research opportunities available in our lab.