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
Arts, Computing, Engineering and Sciences
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
DI NUOVO, Alessandro, BROZ, Frank, WANG, Ning, BELPAEME, Tony, CANGELOSI, Angelo, JONES, Ray, ESPOSITO, Raffaele, CAVALLO, Filippo and DARIO, Paolo (2018). The multi-modal interface of Robot-Era multi-robot services tailored for the elderly. Intelligent Service Robotics, 11 (1), 109-126.
HIRSCH, Laurence and DI NUOVO, Alessandro (2017). Document clustering with evolved search queries. In: 2017 IEEE Congress on Evolutionary Computation (CEC), Proceedings : 5-8 June 2017, Donostia - San Sebastián, Spain. Piscataway, NJ, IEEE, 1239-1246.
DI NUOVO, Alessandro, ACAMPORA, Giovanni and SCHLESINGER, Matthew (2017). Guest editorial cognitive agents and robots for human-centered systems. IEEE Transactions on Cognitive and Developmental Systems, 9 (1), 1-4.
CONTI, Daniela, DI NUOVO, Alessandro, CIRASA, Carla and DI NUOVO, Santo (2017). A comparison of kindergarten storytelling by human and humanoid robot with different social behavior. In: HRI '17. Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction - HRI '17. New York, ACM, 97-98.
DI NUOVO, Alessandro, MAROCCO, Davide, DI NUOVO, Santo and CANGELOSI, Angelo (2017). Embodied mental imagery in cognitive robots. In: Springer handbook of model-based science. Springer Handbooks . Cham, Springer, 619-639.
CONTI, Daniela, DI NUOVO, Santo, CANGELOSI, Angelo and DI NUOVO, Alessandro (2016). Lateral specialization in unilateral spatial neglect : a cognitive robotics model. Cognitive Processing, 17 (3), 321-328.
DI NUOVO, Alessandro, CANNAVO, Rosario, DI NUOVO, Santo, TRECCA, Giorgia and RAVECCA, Fabio (2016). A Neuro-Fuzzy approach to identify a Hierarchical Fuzzy System for modelling Aviation Pilot Attention. In: IEEE World Congress on Computational Intelligence 2016, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, Canada, 24-29 July.
CONTI, Daniela, DI NUOVO, Santo, BUONO, Serafino and DI NUOVO, Alessandro (2016). Robots in education and care of children with developmental disabilities : a study on acceptance by experienced and future professionals. International Journal of Social Robotics. (In Press)
CARBONE, Giuseppe and DI NUOVO, Alessandro (2016). A hybrid multi-objective evolutionary approach for optimal path planning of a hexapod robot. In: BLESA, Maria J., BLUM, Christian, CANGELOSI, Angelo, CUTELLO, Vincenzo, DI NUOVO, Alessandro, PAVONE, Mario and TALBI, El-Ghazali, (eds.) Hybrid Metaheuristics : 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016, Proceedings. Lecture notes in computer science (9668). Springer International Publishing, 131-144.
DI NUOVO, Alessandro, BROZ, Frank, CAVALLO, Filippo and DARIO, Paolo (2016). New Frontiers of Service Robotics for Active and Healthy Ageing - Editorial. International Journal of Social Robotics, 8 (3), 353-354.
DI NUOVO, Alessandro, WANG, Ning, BROZ, Frank, BELPAEME, Tony, JONES, Ray and CANGELOSI, Angelo (2016). Experimental evaluation of a multi-modal user interface for a robotic service. In: ALBOUL, Lyuba, DAMIEN, Dana and AITKEN, Jonathan M., (eds.) Towards autonomous robotic systems, 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence (9716). Springer International Publishing, 87-98.
BLESA, Maria J., BLUM, Christian, CANGELOSI, Angelo, CUTELLO, Vincenzo, DI NUOVO, Alessandro, PAVONE, Mario and TALBI, El-Ghazali, eds. (2016). Hybrid metaheuristics: 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016. Proceedings. Lecture Notes in Computer Science, 9668 . Switzerland, Springer.
DI NUOVO, Alessandro, DE LA CRUZ, Vivian and CANGELOSI, Angelo (2015). A deep learning neural network for number cognition: a bi-cultural study with the iCub. In: 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, 320-325.
CANNAVÒ, Rosario, CONTI, Daniela and DI NUOVO, Alessandro (2015). Computer-aided assessment of aviation pilots attention: Design of an integrated test and its empirical validation. Applied Computing and Informatics, 12 (1), 16-26.
DE LA CRUZ, Vivian M., DI NUOVO, Alessandro, DI NUOVO, Santo and CANGELOSI, Angelo (2014). Making fingers and words count in a cognitive robot. Frontiers in Behavioral Neuroscience, 8 (13), 1-12.
ASCIA, Giuseppe, CATANIA, Vincenzo, DI NUOVO, Alessandro, PALESI, Maurizio and PATTI, Davide (2011). Performance evaluation of efficient multi-objective evolutionary algorithms for design space exploration of embedded computer systems. Applied Soft Computing, 11 (1), 382-398.
DI NUOVO, Alessandro, CATANIA, V, DI NUOVO, S and BUONO, S (2008). Psychology with soft computing : an integrated approach and its applications. Applied Soft Computing, 8 (1), 829-837.
ASCIA, Giuseppe, CATANIA, Vincenzo, DI NUOVO, Alessandro, PALESI, Maurizio and PATTI, Davide (2007). Efficient design space exploration for application specific systems-on-a-chip. Journal of Systems Architecture, 53 (10), 733-750.
DI NUOVO, Alessandro, PALESI, Maurizio and CATANIA, Vincenzo (2007). Multi-objective evolutionary fuzzy clustering for high-dimensional problems. In: 2007 IEEE International Fuzzy Systems Conference , 23-26 July 2007. IEEE, 1-6.
DI NUOVO, Alessandro and CATANIA, Vincenzo (2007). On external measures for validation of fuzzy partitions. In: MELIN, Patricia, CASTILLO, Oscar, AGUILAR, Luis T, KACPRZYK, Janusz and PEDRYCZ, Witold, (eds.) Foundations of Fuzzy Logic and Soft Computing. Lecture Notes in Computer Science (4529). Springer, 491-501.
DI NUOVO, Alessandro, CATANIA, Vincenzo and PALESI, Maurizio (2006). Genetic learning of a fuzzy c-means classifier system. WSEAS Transactions on Information Science and Applications, 3 (9), 1609-1616.
DI NUOVO, Alessandro, PALESI, Maurizio, PATTI, Davide, ASCIA, Giuseppe and CATANIA, Vincenzo (2006). Fuzzy decision making in embedded system design. In: Hardware/Software Codesign and System Synthesis, 2006. CODES+ISSS '06. Proceedings of the 4th International Conference. IEEE, 223-228.
Associate editor of Cognitive System Research (Elsevier).
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