PhD Candidate in Mechanical Engineering, West Virginia University BIO Trevor Smith graduated from WVU in 2021 with a BS in Mechanical Engineering and a BS in Aerospace Engineering. Now he is pursuing his PhD in Mechanical Engineering, studying computational swarm robotics. Outside of research he enjoys robotics competitions and outreach. He competes in the University Rover Challenge Team as an Overall Team lead and as and inter-subteam. In addition to being a member of the WVU Robotics club (that teaches primarily freshman and sophmores about robotics), he mentors local high school Vex Robotics teams. RESEARCH STATEMENT Robotic swarms are a newly emerging field in robotics that provides the advantages of high adaptability and non-single point failure, over conventional single agent robots. Since robotic swarms leverage simple and local agent rules, they can achieve tasks that are intractable for conventional robots to solve. This is because each robot in the swarm only has to solve a simple problem, which collectively emerges to solve the complex global task. While conventional robotics require an individual robot to directly solve the entire complex problem. This process perfectly mirrors computational methods such as Computational Fluid Dynamics (CFD). Where instead of trying to analytically solve a complex flow field (conventional robotics), the flow is discretized into multiple simple fluid elements that each solve for the local flow at that element (robotic swarms). Therefore, if each robot in the swarm is envisioned as a finite element, computational methods, such as CFD, can be applied as agent level rules. This mitigates the great difficulty of determining appropriate local agent rules to achieve a given global task, due to the implicitness of global swarm robotics solutions. Thus my research is in developing a generalized method for designing swarm robotics algorithms using computational methods
Lecturer in Business Information Systems, The University of Queensland I am a Lecturer of Business Information Systems at The University of Queensland Business School. I hold a doctoral degree in Information Systems Science from the Aalto University School of Business. My research addresses issues related to implementing and managing artificial intelligence in organisations, focusing on AI's effects on work, skills and organisational outcomes. My main method of inquiry is qualitative case study, and I have uncovered various underexplored phenomena using that method.
Postdoctoral research fellow, Leiden University With my research I aim to obtain reliable estimates of environmental hazards associated with chemicals and nanomaterials. The majority of my work revolves around freshwater ecosystems.
Professor of Clinical Psychology and Rehabilitation at the Institute of Psychiatry, Psychology & Neuroscience, King's College London Dame Til Wykes is Professor of Clinical Psychology and Rehabilitation at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London and is head of the School of Mental Health and Psychological Sciences. Professor Wykes has a wide-ranging portfolio of research into treatment developments and evaluation including digital technology solutions like RADAR-CNS and CONNECT which use technology to identify mental health relapses before they have devastating consequences for an individual. She also developed an effective cognitive remediation for people with a diagnosis of schizophrenia, CIRCuiTS. She founded the Service User Research Enterprise (SURE), which employs expert researchers with experience of using mental health services. She is a Patient and Public Involvement and Engagement Lead at the Maudsley Biomedical Research Centre. She edits the Journal of Mental Health. She was awarded a Damehood for her work in mental health.
Associate Professor, University of South Australia I aim to improve the cognitive functioning and well-being of people with brain damage. I'm particularly interested in the use of new technologies, such as Virtual Reality, to achieve this aim. I am co-directing the Cognitive Ageing and Impairment Neurosciences (CAIN) lab with Prof Hannah Keage. Have a look at our website to learn more about our current research www.cain.science.
