Professor Alessandro Di Nuovo PhD
Professor of Machine Intelligence
- Department of Computing
- Communication and Computing Research Centre
- Industry and Innovation Research Institute
Summary
Prof. Alessandro Di Nuovo is Professor of Machine Intelligence at the Department of Computing, Sheffield Hallam University. He is the leader of AI, Robotics and Digital for the Advanced Well-being Research Institute. He is the funder and leader of the Smart Interactive Technologies (SIT) Research Laboratory, which has cutting-edge facilities and equipment for advanced machine learning and human-robot interaction experiments.
Prof. Di Nuovo is leading several collaborative research projects in fundamental and applied topics in AI and Robotics, funded by public (European Union, UKRI), private (IBM, NVIDIA) and charities (Sheffield Children Hospital Trust).
His research specialises in cognitive mechatronics and its application to health and wellbeing.
About
I have had a distinguished academic career in the field of machine intelligence and technological innovation. In my career, as evidenced in the following paragraphs, I have accumulated unique scientific expertise and experience that provides me with a unique multi-disciplinary position focused on developing novel approaches in machine intelligence to fit their application in other areas and sectors, particularly in health and wellbeing.
I am Professor of Machine Intelligence at Sheffield Hallam University. My role include the leadership of the AI, Robotics and Digital research theme at the Advanced Wellbeing Research Institute. I am based in the Department of Computing, where I am leading the Smart Interactive Technologies (SIT) Research Laboratory, which is conducting internationally renowned research in interdisciplinary applications of machine intelligence, including healthcare and well-being.
My research endeavours have been supported with over £2.7 million by various funders. The main research projects are summarised in the following to evidence my ability to independently conduct ground-breaking research, leadership, capacity to manage large funding and execute interdisciplinary research projects, and a worldwide network of multidisciplinary scientific and industrial collaborators.
My projects can be categorised into two main research and innovation streams: Neuro-developmental Robotics, which is an area of fundamental research on how machines can learn by simulating child-like brains that can be embodied into humanoid robots and then educated and develop their cognitive skills like children; Socially Assistive Robotics, which is an area of societal impact of artificial intelligence and robotics that aims at supporting healthcare and social workers in the care of children, older adults and disabled.
I successfully coordinated a proposal that combines both research streams: the Horizon Europe project “Performance in Robots Interaction via Mental Imagery” (PRIMI), which was awarded €7.3 million for 50 months, from 2023-2027. PRIMI beneficiaries include 4 universities, a research institute and 2 companies, which include leaders in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The ambitious PRIMI research will realise my vision of a new unifying concept for the next generation of autonomous interaction technologies, capable of more autonomous, faster, safer, and precise interaction with real-time learning and adaptation, thanks to the integration of the capabilities to mentally represent themselves, the physical and social worlds, resemble experiences and simulate actions. As a proof-of-principle of the technological advancement in a relevant scenario, PRIMI will create prototypes of neuromorphic humanoid robots that will be validated in clinical pilot studies of robot-led physical rehabilitation of stroke survivors.
In the neuro-developmental robotics stream, I am the PI of the EPSRC project (202k, 2023-2025) on Autonomous Learning and Development in Embodied Neuromorphic Systems (ALDENS). The ALDENS project aims to establish a novel developmental neuromorphic paradigm by combining developmental robotics and neuromorphic computing. This synergy will overcome the limitations of each paradigm individually. Developmental robotics will provide missing learning mechanisms for neuromorphic spiking neural networks, while neuromorphic computing will offer efficient brain-like resources with an accurate representation of the real world. The project will develop and validate methodologies to create an autonomous, flexible, and scalable artificial brain architecture. Previously, I was PI of the EPSRC project NUMBERS (£101k, 2017-20), which delivered a proof-of-concept of a robot that can learn like children by creating a developmental neurorobotics model of number cognition by imitating human-like learning approaches for recognising number digits.
Specialist Areas of Interest:
Artificial Intelligence and Robotics
Teaching
College of Business, Technology and Engineering
Software Engineering, Graphics and Multimedia
Computer Science, Software Engineering
Concurrent and Parallel Systems; Case Studies in Software Design; Group Software Development Project
Research
www.primi-project.eu
Publications
Key Publications
Wang, N., Chen, C., & Di Nuovo, A. (2020). A Framework of Hybrid Force/Motion Skills Learning for Robots. IEEE Transactions on Cognitive and Developmental Systems, 1. http://doi.org/10.1109/tcds.2020.2968056
Di Nuovo, A., & McClelland, J.L. (2019). Developing the Knowledge of Number Digits in a child like Robot. Nature Machine Intelligence, 1, 594-605. http://doi.org/10.1038/s42256-019-0123-3
Cavallo, F., Esposito, R., Limosani, R., Manzi, A., Bevilacqua, R., Felici, E., ... Dario, P. (2018). Robotic services acceptance in smart environments with older adults: user satisfaction and acceptability study. Journal of medical internet research, 20 (9), e264. http://doi.org/10.2196/jmir.9460
Journal articles
Di Nuovo, A. (2023). Letter to the Editor: "How Can Biomedical Engineers Help Empower Individuals With Intellectual Disabilities? The Potential Benefits and Challenges of AI Technologies to Support Inclusivity and Transform Lives". IEEE journal of translational engineering in health and medicine, 12, 256-257. http://doi.org/10.1109/jtehm.2023.3331977
Aitsam, M., Davies, S., & Di Nuovo, A. (2022). Neuromorphic Computing for Interactive Robotics: A Systematic Review. IEEE Access, 10. http://doi.org/10.1109/access.2022.3219440
Fiorini, L., Cornacchia Loizzo, F.G., Sorrentino, A., Rovini, E., Di Nuovo, A., & Cavallo, F. (2022). The VISTA datasets, a combination of inertial sensors and depth cameras data for activity recognition. Scientific Data, 9. http://doi.org/10.1038/s41597-022-01324-3
Camp, N., Johnston, J., Lewis, M.G.C., Zecca, M., Di Nuovo, A., Hunter, K., & Magistro, D. (2022). Perceptions of in-home monitoring technology for activities of daily living: semistructured interview study with community-dwelling older adults. JMIR Aging, 5 (2). http://doi.org/10.2196/33714
Van Den Heuvel, R., Jansens, R., Littler, B., Huijnen, C., Di Nuovo, A., Bonarini, A., ... De Witte, L. (2022). The potential of robotics for the development and wellbeing of children with disabilities as we see it. Technology and Disability, 34 (1), 25-33. http://doi.org/10.3233/TAD-210346
Conti, D., Trubia, G., Buono, S., Di Nuovo, S., & Di Nuovo, A. (2022). An empirical study on integrating a small humanoid robot to support the therapy of children with Autism Spectrum Disorder and intellectual disability. Interaction Studies, 22 (2), 177-211. http://doi.org/10.1075/is.21011.con
Marchang, J., & Nuovo, A.D. (2022). Assistive multimodal robotic system (AMRSys): security and privacy issues, challenges, and possible solutions. Applied Sciences, 12 (4). http://doi.org/10.3390/app12042174
Fiorini, L., Loizzo, F.G.C., Sorrentino, A., Kim, J., Rovini, E., Di Nuovo, A., & Cavallo, F. (2021). Daily gesture recognition during human-robot interaction combining vision and wearable systems. IEEE Sensors Journal. http://doi.org/10.1109/jsen.2021.3108011
Davies, S., Lucas, A., Ricolfe-Viala, C., & Di Nuovo, A. (2021). A Database for Learning Numbers by Visual Finger Recognition in Developmental Neuro-Robotics. Frontiers in Neurorobotics, 15. http://doi.org/10.3389/fnbot.2021.619504
Di Nuovo, A., & Cangelosi, A. (2021). Abstract concept learning in cognitive robots. Current Robotics Reports, 2 (1), 1-8. http://doi.org/10.1007/s43154-020-00038-x
Camp, N., Lewis, M., Hunter, K., Johnston, J., Zecca, M., Di Nuovo, A., & Magistro, D. (2020). Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health, 18 (1), e163. http://doi.org/10.3390/ijerph18010163
Pecyna, L., Cangelosi, A., & Di Nuovo, A. (2020). A Robot that Counts Like a Child - a Developmental Model of Counting and Pointing. Psychological Research: an international journal of perception, attention, memory and action. http://doi.org/10.1007/s00426-020-01428-8
Conti, D., Trubia, G., Buono, S., Di Nuovo, S., & Di Nuovo, A. (2020). Social robots to support practitioners in the education and clinical care of children: The CARER-AID project. Life Span and Disability, 23 (1), 17-30. http://www.lifespanjournal.it/client/abstract/ENG361_2.%20Conti.pdf
Rossi, S., Conti, D., Garramone, F., Santangelo, G., Staffa, M., Varrasi, S., & Di Nuovo, A. (2020). The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations. Robotics, 9 (39). http://doi.org/10.3390/robotics9020039
Conti, D., Trubia, G., Buono, S., Di Nuovo, S., & Di Nuovo, A. (2020). Affect Recognition in Autism: a single case study on integrating a humanoid robot in a standard therapy. Qwerty - Open and Interdisciplinary Journal of Technology, Culture and Education, 14 (2), 66-87. http://doi.org/10.30557/QW000018
Conti, D., Trubia, G., Buono, S., Di Nuovo, S., & Di Nuovo, A. (2020). Social robots to support practitioners in the education and clinical care of children: The CARER-AID project. Life Span and Disability, 23 (Specia), 17-30.
Conti, D., Cattani, A., Di Nuovo, S., & Di Nuovo, A. (2019). Are Future Psychologists Willing to Accept and Use a Humanoid Robot in Their Practice? Italian and English Students' Perspective. FRONTIERS IN PSYCHOLOGY, 10. http://doi.org/10.3389/fpsyg.2019.02138
Wang, N., Di Nuovo, A., Cangelosi, A., & Jones, R. (2019). Temporal Patterns in Multi-modal Social Interaction between Elderly Users and Service Robot. Interaction Studies, 4-24. http://doi.org/10.1075/is.18042.wan
Di Nuovo, A., Varrasi, S., Lucas, A., Conti, D., Mcnamara, J., & Soranzo, A. (2019). Assessment of Cognitive skills via Human-robot Interaction and Cloud Computing. Journal of Bionic Engineering, 16 (3), 526-539. http://doi.org/10.1007/s42235-019-0043-2
Moschetti, A., Cavallo, F., Esposito, D., Penders, J., & Di Nuovo, A. (2019). Wearable sensors for human–robot walking together. Robotics, 8 (2), 38. http://doi.org/10.3390/robotics8020038
Di Nuovo, A., & Jay, T. (2019). The development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. Cognitive Computation and Systems. http://doi.org/10.1049/ccs.2018.0004
Di Nuovo, A., Conti, D., Trubia, G., Buono, S., & Di Nuovo, S. (2018). Deep learning systems for estimating visual attention in robot-assisted therapy of children with autism and intellectual disability. Robotics, 7 (2), 25. http://doi.org/10.3390/robotics7020025
Conti, D., Commodari, E., & Buono, S. (2017). Personality factors and acceptability of socially assistive robotics in teachers with and without specialized training for children with disability. Life Span and Disability, 20 (2), 251-272. http://www.lifespan.it/sommario.asp?id=94&ordine=0&anno=2017
Di Nuovo, A., Broz, F., Wang, N., Belpaeme, T., Cangelosi, A., Jones, R., ... Dario, P. (2017). The multi-modal interface of Robot-Era multi-robot services tailored for the elderly. Intelligent Service Robotics, 11 (1), 109-126. http://doi.org/10.1007/s11370-017-0237-6
Di Nuovo, A., Acampora, G., & Schlesinger, M. (2017). Guest editorial cognitive agents and robots for human-centered systems. IEEE Transactions on Cognitive and Developmental Systems, 9 (1), 1-4. http://doi.org/10.1109/TCDS.2017.2670787
Conti, D., Di Nuovo, S., Cangelosi, A., & Di Nuovo, A. (2016). Lateral specialization in unilateral spatial neglect : a cognitive robotics model. Cognitive Processing, 17 (3), 321-328. http://doi.org/10.1007/s10339-016-0761-x
Conti, D., Di Nuovo, S., Buono, S., & Di Nuovo, A. (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, 9 (1), 51-62. http://doi.org/10.1007/s12369-016-0359-6
Di Nuovo, A., Broz, F., Cavallo, F., & Dario, P. (2016). New Frontiers of Service Robotics for Active and Healthy Ageing - Editorial. International Journal of Social Robotics, 8 (3), 353-354. http://doi.org/10.1007/s12369-016-0350-2
Cannavò, R., Conti, D., & Di Nuovo, A. (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. http://doi.org/10.1016/j.aci.2015.05.002
Broz, F., Di Nuovo, A., Belpaeme, T., & Cangelosi, A. (2015). Talking About Task Progress: Towards Integrating Task Planning and Dialog for Assistive Robotic Services. Paladyn, Journal of Behavioral Robotics, 6 (1). http://doi.org/10.1515/pjbr-2015-0007
de la Cruz, V.M., di Nuovo, A., & di Nuovo, S. (2015). Fingers and words to count: A cognitive robot learns sums. Sistemi Intelligenti, 27 (1), 7-26.
De La Cruz, V.M., Di Nuovo, A., Di Nuovo, S., & Cangelosi, A. (2014). Making fingers and words count in a cognitive robot. Frontiers in Behavioral Neuroscience, 8 (13), 1-12. http://doi.org/10.3389/fnbeh.2014.00013
di Nuovo, S., de la Cruz, V., Conti, D., Buono, S., & di Nuovo, A. (2014). Mental imagery: Rehabilitation through simulation. Life Span and Disability, 17 (1), 89-118.
Di Nuovo, A., & Ascia, G. (2013). A fuzzy system index to preserve interpretability in deep tuning of fuzzy rule based classifiers. Journal of Intelligent & Fuzzy Systems, 25 (2), 493-504. http://doi.org/10.3233/ifs-120660
Di Nuovo, A., De La Cruz, V.M., & Marocco, D. (2013). Special issue on artificial mental imagery in cognitive systems and robotics. Adaptive Behavior, 21 (4), 217-221. http://doi.org/10.1177/1059712313488964
Di Nuovo, A.G., Marocco, D., Di Nuovo, S., & Cangelosi, A. (2013). Autonomous learning in humanoid robotics through mental imagery. Neural networks : the official journal of the International Neural Network Society, 41, 147-155. http://doi.org/10.1016/j.neunet.2012.09.019
Di Nuovo, A.G., Di Nuovo, S., & Buono, S. (2012). Intelligent quotient estimation of mental retarded people from different psychometric instruments using artificial neural networks. Artificial intelligence in medicine, 54 (2), 135-145. http://doi.org/10.1016/j.artmed.2011.11.002
Di Nuovo, A.G. (2011). Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario. Expert Systems with Applications, 38 (6), 6793-6797. http://doi.org/10.1016/j.eswa.2010.12.067
Ascia, G., Catania, V., Di Nuovo, A., Palesi, M., & Patti, D. (2011). Performance evaluation of efficient multi-objective evolutionary algorithms for design space exploration of embedded computer systems. Applied Soft Computing, 11 (1), 382-398. http://doi.org/10.1016/j.asoc.2009.11.029
Di Nuovo, A., Catania, V., Di Nuovo, S., & Buono, S. (2008). Psychology with soft computing : an integrated approach and its applications. Applied Soft Computing, 8 (1), 829-837. http://doi.org/10.1016/j.asoc.2007.03.001
Ascia, G., Catania, V., Di Nuovo, A., Palesi, M., & Patti, D. (2007). Efficient design space exploration for application specific systems-on-a-chip. Journal of Systems Architecture, 53 (10), 733-750. http://doi.org/10.1016/j.sysarc.2007.01.004
Di Nuovo, A., Catania, V., & Palesi, M. (2006). Genetic learning of a fuzzy c-means classifier system. WSEAS Transactions on Information Science and Applications, 3 (9), 1609-1616. http://wseas.org/cms.action?id=4046
Conti, D., Cirasa, C., Di Nuovo, S., & Di nuovo, A. (n.d.). “Robot, tell me a tale!”: A Social Robot as tool for Teachers in Kindergarten. Interaction Studies.
Conference papers
Tarakli, I., & Di Nuovo, A. (2023). User Perception of Teachable Robots: A Comparative Study of Teaching Strategies, Task Complexity and User Characteristics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14454 (14454), 357-370. http://doi.org/10.1007/978-981-99-8718-4_31
Zoughalian, K., Marchang, J., & Di Nuovo, A. (2023). Access control mechanism framework for assistive robots in healthcare. In TAROS’23 & Joint Robotics CDTs Conference, Department of Engineering Cambridge University, 13 September 2023 - 15 September 2023 (pp. 76-79). https://tarosconferenceorg.files.wordpress.com/2023/09/taros2023_all_abstracts.pdf
Tarakli, I., Angelopoulos, G., Hellou, M., Vindolet, C., Abramovic, B., Limongelli, R., ... Cheng, G. (2023). Social Robots Personalisation. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. http://doi.org/10.1145/3568294.3579953
Loizzo, F.G.C., Fiorini, L., Sorrentino, A., Di Nuovo, A., Rovini, E., & Cavallo, F. (2022). Combined Vision and Wearable System for Daily Activity Recognition. Lecture Notes in Electrical Engineering, 884 (884), 216-234. http://doi.org/10.1007/978-3-031-08838-4_16
Hirsch, L., Di Nuovo, A., & Prasanna, H. (2021). Document Clustering with Evolved Single Word Search Queries. In IEEE Congress on Evolutionary Computation, Krakow, Poland (Virutal), 28 June 2021 - 1 July 2021. IEEE: http://doi.org/10.1109/CEC45853.2021.9504770
Conti, D., Di Nuovo, S., & Di Nuovo, A. (2021). A brief review of robotics technologies to support social interventions for older users. Smart Innovation, Systems and Technologies, 189, 221-232. http://doi.org/10.1007/978-981-15-5784-2_18
Conti, D., Trubia, G., Buono, S., Di Nuovo, A., & Di Nuovo, S. (2020). Brief review of robotics in low-functioning autism therapy. CEUR Workshop Proceedings, 2730.
Di Nuovo, A. (2020). A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits. 2020 International Joint Conference on Neural Networks (IJCNN). http://doi.org/10.1109/IJCNN48605.2020.9206857
Conti, D., Di Nuovo, S., & Di Nuovo, A. (2020). A brief review of robotics technologies to support social interventions for older users. Smart Innovation, Systems and Technologies, 189 (189), 221-232. http://doi.org/10.1007/978-981-15-5784-2_18
Di Nuovo, A., Bamforth, J., Conti, D., Sage, K., Ibbotson, R., Clegg, J., ... Arnold, K. (2020). An explorative study on robotics for supporting children with Autism Spectrum Disorder during clinical procedures. In 15th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI, (pp. 189-191). Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, Inc: http://doi.org/10.1145/3371382.3378277
Pecyna, L., Cangelosi, A., & Di Nuovo, A. (2020). A Deep Neural Network for Finger Counting and Numerosity Estimation. 2019 IEEE Symposium Series on Computational Intelligence (SSCI). http://doi.org/10.1109/SSCI44817.2019.9002694
Varrasi, S., Lucas, A., Soranzo, A., McNamara, J., & Di Nuovo, A. (2019). IBM Cloud Services Enhance Automatic Cognitive Assessment via Human-Robot Interaction. NEW TRENDS IN MEDICAL AND SERVICE ROBOTICS: ADVANCES IN THEORY AND PRACTICE, 65, 169-176. http://doi.org/10.1007/978-3-030-00329-6_20
Conti, D., Di Nuovo, A., & Di Nuovo, S. (2019). Social robots for older users: a possibility to support assessment and social interventions. CEUR Workshop Proceedings, 2524. http://ceur-ws.org/Vol-2524/paper11.pdf
Di nuovo, A., Varrasi, S., Alexandr, L., Conti, D., Soranzo, A., Bamforth, J., & Mcnamara, J. (2019). Usability Evaluation of a Robotic System for Cognitive Testing. In ACM/IEEE International Conference on Human-Robot Interaction, Daegu (Korea), 11 March 2019 - 14 March 2019. IEEE: http://doi.org/10.1109/HRI.2019.8673187
Conti, D., Di Nuovo, S., & Di nuovo, A. (2019). Kindergarten Children Attitude Towards Humanoid Robots: what is the Effect of the First Experience? In ACM/IEEE International Conference on Human-Robot Interaction, Daegu (Korea), 11 March 2019 - 14 March 2019. IEEE: http://doi.org/10.1109/HRI.2019.8673204
Lucas, A., Ricolfe-Viala, C., & Di Nuovo, A. (2019). Preliminary investigation on visual finger-counting with the icub robot cameras and hands. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11650, 484-488. http://doi.org/10.1007/978-3-030-25332-5_46
Varrasi, S., Di Nuovo, S., Conti, D., & Di Nuovo, A. (2018). Social robots as psychometric tools for cognitive assessment: a pilot test. In Ficuciello, F., Ruggiero, F., & Finzi, A. (Eds.) Human friendly robotics : 2017 international workshop. Cham: Springer: http://doi.org/10.1007/978-3-319-89327-3_8
Rossi, S., Santangelo, G., Staffa, M., Varrasi, S., Conti, D., & Di Nuovo, A. (2018). Psychometric evaluation supported by a social robot: personality factors and technology acceptance. 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 6 (6). http://doi.org/10.1109/roman.2018.8525838
Varrasi, S., Lucas, A., Soranzo, A., Mcnamara, J., & Di Nuovo, A. (2018). IBM Cloud Services enhance automatic cognitive assessment via human-robot interaction. In Wenger, P., Chevallereau, C., Pisla, D., Bleuler, H., & Rodic, A. (Eds.) New trends in medical and service robotics : advances in theory and practice, (pp. 165-176). Netherlands: Springer: http://doi.org/10.1007/978-3-030-00329-6_20
Penders, J., Wang, J., Bhowmik, D., Di Nuovo, A., Soranzo, A., Rolph, J., ... Cameron, D. (2018). Robots claiming space: gauging public reaction usingcomputer vision techniques. In Giuliani, M., Assaf, T., & Giannaccini, M.E. (Eds.) Towards autonomous robotic systems: 19th annual conference, TAROS 2018 proceedings, (pp. 468-470). Springer: http://doi.org/10.1007/978-3-319-96728-8
Di Nuovo, A. (2018). Long-short term memory networks for modelling embodied mathematical cognition in robots. In World Congress on Computational Intelligence 2018, Rio de Janeiro. IEEE
Conti, D., Trubia, G., Buono, S., Di Nuovo, S., & Di Nuovo, A. (2018). Evaluation of a robot-assisted therapy for children with autism and intellectual disability. Lecture Notes in Computer Science, 405-415. http://doi.org/10.1007/978-3-319-96728-8_34
Conti, D., Di Nuovo, A., Trubia, G., Buono, S., & Di Nuovo, S. (2018). Adapting robot-assisted therapy of children with autism and different levels of intellectual disability. In Proceeding HRI '18 Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction :Chicago, IL, USA — March 05 - 08, 2018, (pp. 91-92). New York: ACM Press: http://doi.org/10.1145/3173386.3176962
Varrasi, S., Di Nuovo, S., Conti, D., & Di Nuovo, A. (2018). A social robot for cognitive assessment. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction : Chicago, IL, USA — March 05 - 08, 2018, (pp. 269-270). New York: ACM Press: http://doi.org/10.1145/3173386.3176995
Acampora, G., Di Nuovo, A., Siciliano, B., & Vitiello, A. (2017). A comparison of fuzzy approaches for training a humanoid robotic football player. IEEE International Conference on Fuzzy Systems. http://doi.org/10.1109/FUZZ-IEEE.2017.8015756
Hirsch, L., & Di Nuovo, A. (2017). Document clustering with evolved search queries. In 2017 IEEE Congress on Evolutionary Computation (CEC), Proceedings : 5-8 June 2017, Donostia - San Sebastián, Spain, (pp. 1239-1246). Piscataway, NJ: IEEE: http://doi.org/10.1109/CEC.2017.7969447
Conti, D., Di Nuovo, A., Cirasa, C., & Di Nuovo, S. (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, (pp. 97-98). New York: ACM: http://doi.org/10.1145/3029798.3038359
Di Nuovo, A. (2017). An embodied model for handwritten digits recognition in a cognitive robot. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings, (pp. 1-6). IEEE: http://doi.org/10.1109/SSCI.2017.8285274
Wang, N., Broz, F., Di Nuovo, A., Belpaeme, T., & Cangelosi, A. (2016). A User-Centric Design of Service Robots Speech Interface for the Elderly. In Recent Advances in Nonlinear Speech Processing, (pp. 275-283). Springer International Publishing: http://doi.org/10.1007/978-3-319-28109-4_28
Di Nuovo, A., Cannavo, R., Di Nuovo, S., Trecca, G., & Ravecca, F. (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. http://www.wcci2016.org/
Di Nuovo, A., Wang, N., Broz, F., Belpaeme, T., Jones, R., & Cangelosi, A. (2016). Experimental evaluation of a multi-modal user interface for a robotic service. In Alboul, L., Damien, D., & Aitken, J.M. (Eds.) Towards autonomous robotic systems, 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings, (pp. 87-98). Springer International Publishing: http://doi.org/10.1007/978-3-319-40379-3_9
Carbone, G., & Di Nuovo, A. (2016). A hybrid multi-objective evolutionary approach for optimal path planning of a hexapod robot. Lecture notes in computer science, 9668 (9668), 131-144. http://doi.org/10.1007/978-3-319-39636-1_10
Carbone, G., & Di Nuovo, A. (2016). A hybrid multi-objective evolutionary approach for optimal path planning of a hexapod robot. Lecture notes in computer science, 9668 (9668), 131-144. http://doi.org/10.1007/978-3-319-39636-1_10
Blesa, M.J., Blum, C., Cangelosi, A., Cutello, V., Di Nuovo, A., Pavone, M., & Talbi, E.G. (2016). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9668, V-VI.
Di Nuovo, A., Broz, F., Belpaeme, T., Cangelosi, A., Cavallo, F., Esposito, R., & Dario, P. (2015). Toward usable and acceptable robot interfaces for the elderly: The robot-era project experience. INTERNATIONAL PSYCHOGERIATRICS, 27, S179.
Conti, D., Di Nuovo, S., & Di Nuovo, A. (2015). A cognitive robotics approach for the study of unilateral spatial neglect. COGNITIVE PROCESSING, 16, S86.
Di Nuovo, A., De La Cruz, V., & Cangelosi, A. (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), (pp. 320-325). IEEE: http://doi.org/10.1109/DEVLRN.2015.7346165
Conti, D., Di Nuovo, S., & Di Nuovo, A. (2015). Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect. 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015, 300-301. http://doi.org/10.1109/DEVLRN.2015.7346161
Di Nuovo, A., & Cangelosi, A. (2015). Artificial Mental Imagery in Cognitive Robots Interaction. 2015 IEEE Symposium Series on Computational Intelligence. http://doi.org/10.1109/ssci.2015.23
Conti, D., Cattani, A., Di Nuovo, S., & Di Nuovo, A. (2015). A cross-cultural study of acceptance and use of robotics by future psychology practitioners. 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). http://doi.org/10.1109/roman.2015.7333601
Conti, D., Di Nuovo, S., Buono, S., Trubia, G., & Di Nuovo, A. (2015). Use of robotics to stimulate imitation in children with Autism Spectrum Disorder: A pilot study in a clinical setting. 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). http://doi.org/10.1109/roman.2015.7333589
Di Nuovo, A., De La Cruz, V.M., & Cangelosi, A. (2014). Grounding fingers, words and numbers in a cognitive developmental robot. 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB). http://doi.org/10.1109/ccmb.2014.7020688
Di Nuovo, A., Broz, F., Belpaeme, T., Cangelosi, A., Cavallo, F., Esposito, R., & Dario, P. (2014). A web based Multi-Modal Interface for elderly users of the Robot-Era multi-robot services. 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). http://doi.org/10.1109/smc.2014.6974248
Di Nuovo, A., De La Cruz, V.M., Cangelosi, A., & Di Nuovo, S. (2014). The iCub learns numbers: An embodied cognition study. 2014 International Joint Conference on Neural Networks (IJCNN). http://doi.org/10.1109/ijcnn.2014.6889795
Di Nuovo, A., Di Nuovo, S., Buono, S., & Cutello, V. (2014). Benefits of fuzzy logic in the assessment of intellectual disability. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). http://doi.org/10.1109/fuzz-ieee.2014.6891834
Broz, F., Di Nuovo, A., Belpaeme, T., & Cangelosi, A. (2014). Towards integrating dialog, planning, and execution for service robots. AAAI Fall Symposium - Technical Report, FS-14-01, 51-53.
Di Nuovo, A., Marocco, D., Di Nuovo, S., & Cangelosi, A. (2013). Ballistic Action Planning in Robotics by means of Artificial Imagery. Advances in Artificial Life, ECAL 2013. http://doi.org/10.7551/978-0-262-31709-2-ch110
Fachantidis, A., Di Nuovo, A., Cangelosi, A., & Vlahavas, I. (2013). Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB). http://doi.org/10.1109/ccmb.2013.6609170
Di Nuovo, A.G., Ascia, G., & Catania, V. (2012). A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems. In Lecture Notes in Computer Science, (pp. 102-111). Springer Berlin Heidelberg: http://doi.org/10.1007/978-3-642-32964-7_11
Di Nuovo, A.G., & Marocco, D. (2012). Recurrent neural network for ballistic actions: A study with the iCub. 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL). http://doi.org/10.1109/devlrn.2012.6400888
Di Nuovo, A.G., De La Cruz, V.M., & Di Nuovo, S. (2012). Mental practice and verbal instructions execution: A cognitive robotics study. The 2012 International Joint Conference on Neural Networks (IJCNN). http://doi.org/10.1109/ijcnn.2012.6252751
Di Nuovo, A.G., Cannavò, R.B., & Di Nuovo, S. (2011). An Intelligent Infrastructure for In-Flight Situation Awareness of Aviation Pilots. In Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, (pp. 598-607). Springer Berlin Heidelberg: http://doi.org/10.1007/978-3-642-21852-1_69
Di Nuovo, A.G., Marocco, D., Di Nuovo, S., & Cangelosi, A. (2011). A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub. The 2011 International Joint Conference on Neural Networks. http://doi.org/10.1109/ijcnn.2011.6033501
Di Nuovo, A.G., Cannavo, R.B., & Di Nuovo, S. (2011). An agent-based infrastructure for monitoring aviation pilot's situation awareness. 2011 IEEE Symposium on Intelligent Agent (IA). http://doi.org/10.1109/ia.2011.5953611
Di Nuovo, A.G., & Catania, V. (2009). Linguistic Modifiers to Improve the Accuracy-Interpretability Trade-Off in Multi-Objective Genetic Design of Fuzzy Rule Based Classifier Systems. 2009 Ninth International Conference on Intelligent Systems Design and Applications. http://doi.org/10.1109/isda.2009.97
Di Nuovo, A.G., Di Nuovo, S., Buono, S., & Catania, V. (2009). Feedforward Artificial Neural Network to Estimate IQ of Mental Retarded People from Different Psychometric Instruments. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 1870-+.
Catania, V., Nuovo, A.G.D., Palesi, M., Patti, D., & Morales, G.D.F. (2009). An Effective Methodology to Multi-objective Design of Application Domain-specific Embedded Architectures. 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools. http://doi.org/10.1109/dsd.2009.205
Di Nuovo, A.G., Di Nuovo, S., Buono, S., & Catania, V. (2009). Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments. 2009 International Joint Conference on Neural Networks. http://doi.org/10.1109/ijcnn.2009.5178847
Di Nuovo, A.G., & Catania, V. (2008). An Evolutionary Fuzzy c-Means Approach for Clustering of Bio-informatics databases. 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2079-2084.
Catania, V., De Francisci Morales, G., Di Nuovo, A.G., Palesi, M., & Patti, D. (2008). High Performance Computing for Embedded System Design: A Case Study. 2008 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools. http://doi.org/10.1109/dsd.2008.110
Di Nuovo, A.G., & Catania, V. (2008). An evolutionary fuzzy c-means approach for clustering of bio-informatics databases. 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence). http://doi.org/10.1109/fuzzy.2008.4630656
Di Nuovo, A., & Catania, V. (2007). On external measures for validation of fuzzy partitions. In Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., & Pedrycz, W. (Eds.) Foundations of Fuzzy Logic and Soft Computing, (pp. 491-501). Springer
Di Nuovo, A.G., Palesi, M., & Catania, V. (2007). Multi-objective evolutionary fuzzy clustering for high-dimensional problems. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 1932-1937.
Di Nuovo, A., Palesi, M., & Catania, V. (2007). Multi-objective evolutionary fuzzy clustering for high-dimensional problems. In 2007 IEEE International Fuzzy Systems Conference , 23-26 July 2007, (pp. 1-6). IEEE: http://doi.org/10.1109/FUZZY.2007.4295660
Di Nuovo, A.G., & Catania, V. (2006). An Efficient Approach for the Design of Transparent Fuzzy Rule-Based Classifiers. 2006 IEEE International Conference on Fuzzy Systems. http://doi.org/10.1109/fuzzy.2006.1681890
Di Nuovo, A., Palesi, M., Patti, D., Ascia, G., & Catania, V. (2006). Fuzzy decision making in embedded system design. In Proceedings of the 4th international conference on Hardware/software codesign and system synthesis, (pp. 223-228). IEEE: http://doi.org/10.1145/1176254.1176309
Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). A multiobjective genetic fuzzy approach for intelligent system-level exploration in parameterized VLIW processor design. 2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 1721-+.
Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). A multiobjective genetic fuzzy approach for intelligent system-level exploration in parameterized VLIW processor design. 2006 IEEE Congress on Evolutionary Computation, CEC 2006, 1736-1743.
Di Nuovo, A.G., Catania, V., Di Nuovo, S., & Buono, S. (2006). Evolving fuzzy C-Means: An intelligent technique for efficient diagnosis of children mental retardation level from databases with missing values. Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06, 1, 290-296.
Di Nuovo, A.G., & Catania, V. (2006). Genetic Tuning of Fuzzy Rule Deep Structures for Efficient Knowledge Extraction from Medical Data. 2006 IEEE International Conference on Systems, Man and Cybernetics. http://doi.org/10.1109/icsmc.2006.385109
Ascia, G., Catania, V., Di Nuovo, A., Palesi, M., & Patti, D. (2006). An Efficient Hierarchical Fuzzy Approach for System Level System-on-a-Chip Design. 2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation. http://doi.org/10.1109/icsamos.2006.300817
Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). Fuzzy simulation to speedup computer design. 4th International Industrial Simulation Conference 2006, ISC 2006, 285-289.
Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). An Hybrid Soft Computing Approach for Automated Computer Design. Frontiers in Artificial Intelligence and Applications, 142, 84-95.
Di Nuovo, A.G. (2006). Knowledge Base Extraction for Fuzzy Diagnosis of Mental Retardation Level. Frontiers in Artificial Intelligence and Applications, 142, 50-61.
Barbera, M., Busa, A.G., Di Nuovo, A.G., Lombardo, A., & Schembra, G. (2005). A simulation tool for tuning IP network parameters based on fluid-flow models and parallel genetic algorithms. GLOBECOM '05. IEEE Global Telecommunications Conference, 2005. http://doi.org/10.1109/glocom.2005.1577808
Barbera, M., Busá, A.G., Di Nuovo, A.G., Lombardo, A., & Schembra, G. (2005). NAPT: A simulation tool for network analysis and parameter tuning. 3rd International Industrial Simulation Conference 2005, ISC 2005, 93-100.
Zoughalian, K., Marchang, J., & Di Nuovo, A. (2024). Access Control Architecture of Assistive Robots for Physical Activity Wellbeing Data. In The 25th IEEE International Conference on Industrial Technology, Bristol, UK, 25 March 2024 - 27 March 2024.
Book chapters
Vagnetti, R., Camp, N., Story, M., Ait-Belaid, K., Bamforth, J., Zecca, M., ... Magistro, D. (2024). Robot Companions and Sensors for Better Living: Defining Needs to Empower Low Socio-economic Older Adults at Home. In Social Robotics. (pp. 373-383). Springer Nature Singapore: http://doi.org/10.1007/978-981-99-8715-3_31
Camp, N., Di Nuovo, A., Hunter, K., Johnston, J., Zecca, M., Lewis, M., & Magistro, D. (2022). Perceptions of Socially Assistive Robots Among Community-Dwelling Older Adults. In Social Robotics. (pp. 540-549). Springer Nature Switzerland: http://doi.org/10.1007/978-3-031-24670-8_48
Di Nuovo, A., Marocco, D., Di Nuovo, S., & Cangelosi, A. (2017). Embodied mental imagery in cognitive robots. In Springer handbook of model-based science. (pp. 619-639). Cham: Springer: http://doi.org/10.1007/978-3-319-30526-4_28
Belpaeme, T., Adams, S., de Greeff, J., di Nuovo, A., Morse, A., & Cangelosi, A. (2016). Social Development of Artificial Cognition. In Toward Robotic Socially Believable Behaving Systems - Volume I. (pp. 53-72). Springer International Publishing: http://doi.org/10.1007/978-3-319-31056-5_5
(n.d.). Conceptual and Interactive Embodiment. Routledge: http://doi.org/10.4324/9781315751962
Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (n.d.). Computational Intelligence to Speed-Up Multi-Objective Design Space Exploration of Embedded Systems. In Multi-Objective Optimization in Computational Intelligence. (pp. 265-299). IGI Global: http://doi.org/10.4018/978-1-59904-498-9.ch010
Books
Blesa, M.J., Blum, C., Cangelosi, A., Cutello, V., Di Nuovo, A., Pavone, M., & Talbi, E.-.G. (Eds.). (2016). Hybrid metaheuristics: 10th International Workshop, HM 2016, Plymouth, UK, June 8-10, 2016. Proceedings. Switzerland: Springer. http://www.springer.com/us/book/9783319182414
Reports
Marchang, J., Di Nuovo, A., Elliott, C., Meese, H., Vinanzi, S., & Zecca, M. (2023). Security and privacy in assistive robotics: cybersecurity challenges for healthcare. EPSRC UK-RAS Network. https://www.ukras.org.uk/publications/white-papers/security-and-privacy-in-assistive-robotics/
Other activities
Associate editor of Cognitive System Research (Elsevier).