Dr Alessandro Di Nuovo received the Laurea (cum laude) and PhD degrees in computer engineering from the University of Catania, Italy, in 2005 and 2009, respectively. He is Fellow of the HEA and Senior Member of the IEEE.
His research specialises in computational intelligence and its application to cognitive modelling, human-robot interaction, computer-aided assessment of intellectual disabilities, and embedded computer systems.
Before joining Sheffield Hallam University, he has been appointed as Assistant Professor of Computer Science from University of Enna Kore (Italy) from 2012. He has also been Research Fellow with Plymouth University (UK), from January 2012 to November 2015. Previously, he was Associate Lecturer at the University of Enna ‘Kore’ (Italy), from 2008 to 2010, and Research Associate with University of Catania (Italy) in 2011.
He is author and co-author of over 60 scientific articles published in well-reputed journals and renowned conferences. For his research in cognitive robotics In 2014, he won the Best Paper Award by AISC (Italian Association for Cognitive Sciences). His PhD Thesis title was: Computational Intelligence for Design Optimization of Embedded Computer Systems.
He has been involved many European research projects and networks, among them the FP7 ITALK, ROBOTERA, ROBOTDOC ITN, and EUCog II/III.
He is member of organizing and technical committees of several international renowned conferences (e.g. IJCNN, IEEE SMC, IEEE WCCI, FUZZIEEE) and guest editor for well-reputed journals (e.g. Adaptive Behaviour, International Journal of Social Robotics, IEEE Transactions on Cognitive and Developmental Systems).
Dr Di Nuovo is the Principal Investigator of the EPSRC project Number Understanding Modelling in Behavioural Embodied Robotic Systems (NUMBERS), total funding awarded to SHU £100,958. This highly interdisciplinary project involves prestigious external collaborators from Stanford University (prof. McClelland, Psychology and Neuroscience) and Plymouth University (prof. Cangelosi, Developmental Robotics).
He is supervisor of the H2020 Marie Skłodowska-Curie IF Action CARER-AID (€184K, 2017-2019), which aims to develop an intelligent robotic assistant to support caregivers in early diagnosis and treatment of individuals with autism spectrum disorder associated with intellectual disability, in partnership with a specialised research and healthcare institute.
From 2012 to 2015, while Postdoctoral Research fellow at Plymouth University, I led the development of the Human-Robot interface multimodal interface tailored for the elderly within the FP7 Large-Integration Project ROBOT-ERA. The project successfully designed and experimented several innovative robotic services and platforms for daily assistance and continuous care of the elderly.
Artificial Intelligence and Robotics
Department of Computing
Science, Technology and Arts
Software Engineering, Graphics and Multimedia
Computer Science, Software Engineering
Concurrent and Parallel Systems; Case Studies in Software Design; Group Software Development Project
- Centre for Automation and Robotics Research, Communication and Computing Research Centre
Associate editor of Cognitive System Research (Elsevier).