Praminda Caleb-Solly is Professor of Embodied Intelligence in the School of Computer Science where she leads the Cyber-physical Health and Assistive Robotics Technologies (CHART) research group
She holds a BEng in Electronic Systems Engineering, MSc in Biomedical Instrumentation Engineering and a PhD in Interactive Evolutionary Computation.
She joined the University of Nottingham in September 2021. Prior to joining Nottingham she was Professor of Assistive Robotics and Intelligent Health Technologies at the Bristol Robotics Lab, UWE, where she was leading the Robotics Engineering and Computing for Health Research Group and held the post of Associate Head of Department for Research and Scholarship.
From 2014 to 2018, she was also Head of Electronics and Computer Systems at Designability, a not-for-profit SME who design Assistive Technology.
Prof Caleb-Solly's recent portfolio of Innovate UK, EPSRC, AHRC and EC funded projects includes designing and evaluating socially and physically assistive robotics and Internet of Things sensor-based intelligent technology. She is currently leading an EPSRC Healthcare Technologies Network+ Emergence: Robotics to tackle frailty.
Her research focus is on investigating different ways in which these technologies can assist people with age-related disabilities and long-term conditions, as well as their carers, in providing support for activities of daily living. She has also been leading an Assistive Robotics in Healthcare Demonstrator as part of the Lloyds Register Foundation's Assuring Autonomy International Programme.
Her publications cover collaborative Human-Robot Interaction, smart sensor systems and adaptive machine learning for activity recognition and multimodal interfaces for people with accessibility needs. She also co-authored the EPSRC UK-RAS paper on Robotics in Social Care. She is also co-founder and co-directer of Robotics for Good, a Community Interest Company.
I am convener for the following modules:
COMP4030 Data Science and Machine Learning
COMP2064 Introduction to Cyber-Physical Systems