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  4. Alessandro Di Nuovo

Dr Alessandro Di Nuovo MSc Eng, PhD, FHEA, SMIEEE

Professor of Machine Intelligence


Summary

Prof. Alessandro Di Nuovo is Professor of Machine Intelligence at Sheffield Hallam University. He is the leader of technological and digital innovations for independent lives for the Advanced Well-being Research Institute. He is with the Department of Computing, where is 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.

In the last 3 years, ADN has been awarded as PI £1M for research project in fundamental and applied topics in AI and Robotics, funded by public (EU H2020, EPSRC), private (IBM, NVIDIA) and charities (Sheffield Children Hospital).

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.

https://scholar.google.co.uk/citations?user=IU_6XEcAAAAJ

https://blogs.shu.ac.uk/shurobotics/

https://www.shu.ac.uk/research/specialisms/advanced-wellbeing-research-centre




About

Prof. 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.

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.

Prof. Di Nuovo was the leading investigator of the EPSRC project NUMBERS, which delivered the first step toward his vision by creating a developmental neurorobotics model of number understanding. The project evidenced the influence of a robotic embodiment in the early development of mathematical abilities (Di Nuovo & McClelland, Nature Machine Intelligence, 2019).

Prof. Di Nuovo has an extensive track record of leading responsible research and innovation in machine intelligence with applications to psychology, human-robot interaction, and healthcare technologies.
He has extensive experience of interdisciplinary robotics research in leading positions in several large collaborative projects, e.g. he led WP5 of the FP7 IP ROBOT-ERA project (2012-2015) concerning the multimodal interface of several advanced robotic services for the elderly. He was the coordinator of the H2020 MSCA-IF CARER-AID (2017-2018), which developed an intelligent robotic assistant to support caregivers in early diagnosis and treatment of individuals with autism and intellectual disability. Currently, he is the PI of EPSRC-funded project on Number Understanding Modelling in Behavioural Embodied Robotic Systems (NUMBERS, 2017-2019). In 2018, he received the prestigious IBM Shared University Research (SUR) Award for his research project Cognitive Assessment Through Human-robot Interaction (CATHI).

Now, Prof. Di Nuovo is a lead scientist (SHU PI) of the H2020 MSCA-ITN European Training Network on PErsonalized Robotics as SErvice Oriented applications (PERSEO, 2021-2024), a multidisciplinary project to train a cohort of 15 outstanding doctoral candidates (2 at SHU) to be the new generation of interdisciplinary researchers and professionals for the forthcoming market of personal robots.

Dr Di Nuovo serves an associate editor of Cognitive System Research (Elsevier) and Robotics (MDPI). He was lead guest editor for special issues in the IEEE Transactions on Cognitive and Developmental Systems, the International Journal of Social Robotics, and Adaptive Behavior journal.

Dr Di Nuovo is the Finance Chair of the 2020 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), he was Publication Chair of 2017 IEEE Conference of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), General Chair of the 10th International Workshop on Hybrid Metaheuristics (HM 2016), General Chair, IEEE RO-MAN 2014 Workshop on New Frontiers of service robotics for elderly, and General Chair, SAB 2012 Workshop on Artificial Mental Imagery in Cognitive Systems and Robotics. He also serves as Programme Committee Member for many renowned conferences, e.g. FUZZIEEE, IEEE IJCNN, IEEE SMC, IEEE ICDL-Epirob, ACM/IEEE HRI among many others. For his service, in 2014, he was awarded the status of Senior Member of the IEEE.



Specialist Areas of Interest:

Artificial Intelligence and Robotics

Teaching

Department of Computing

Business, Technology and Enterprise

Software Engineering, Graphics and Multimedia

Computer Science, Software Engineering

Concurrent and Parallel Systems; Case Studies in Software Design; Group Software Development Project

Publications

Key Publications

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

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

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

Journal articles

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., 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., & Ascia, G. (2013). A fuzzy system index to preserve interpretability in deep tuning of fuzzy rule based classifiers. Journal of Intelligent and Fuzzy Systems, 25 (2), 493-504. http://doi.org/10.3233/IFS-120660

Di Nuovo, A.G., Marocco, D., Di Nuovo, S., & Cangelosi, A. (2013). Autonomous learning in humanoid robotics through mental imagery. Neural Networks, 41, 147-155. http://doi.org/10.1016/j.neunet.2012.09.019

Di Nuovo, A.G., Nuovo, S.D., & 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

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

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

Varrasi, S., Lucas, A., Soranzo, A., McNamara, J., & Di Nuovo, A. (2018). IBM Cloud Services Enhance Automatic Cognitive Assessment via Human-Robot Interaction. New Trends in Medical and Service Robots: Advances in Theory and Practice, 65, 169-176. 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

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

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 Smart Innovation, Systems and Technologies, (pp. 275-283). http://doi.org/10.1007/978-3-319-28109-4_28

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., 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., 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., Cattani, A., Di Nuovo, S., & Di Nuovo, A. (2015). A cross-cultural study of acceptance and use of robotics by future psychology practitioners. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2015-November, 555-560. 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. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2015-November, 1-6. http://doi.org/10.1109/ROMAN.2015.7333589

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., & Cangelosi, A. (2015). Artificial mental imagery in cognitive robots interaction. Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 91-96. http://doi.org/10.1109/SSCI.2015.23

Di Nuovo, A., Di Nuovo, S., Buono, S., & Cutello, V. (2014). Benefits of fuzzy logic in the assessment of intellectual disability. IEEE International Conference on Fuzzy Systems, 1843-1850. http://doi.org/10.1109/FUZZ-IEEE.2014.6891834

Di Nuovo, A., De La Cruz, V.M., & Cangelosi, A. (2014). Grounding fingers, words and numbers in a cognitive developmental robot. IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CCMB 2014: 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Proceedings, 9-15. http://doi.org/10.1109/CCMB.2014.7020688

Di Nuovo, A., De La Cruz, V.M., Cangelosi, A., & Di Nuovo, S. (2014). The iCub learns numbers: An embodied cognition study. Proceedings of the International Joint Conference on Neural Networks, 692-699. http://doi.org/10.1109/IJCNN.2014.6889795

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. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2014-January (January), 2186-2191. http://doi.org/10.1109/smc.2014.6974248

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.

Fachantidis, A., Di Nuovoti, A., Cangelosi, A., & Vlahavas, I. (2013). Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. Proceedings of the 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, CCMB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 87-93. http://doi.org/10.1109/CCMB.2013.6609170

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 2012. http://doi.org/10.1109/DevLrn.2012.6400888

Di Nuovo, A.G., Ascia, G., & Catania, V. (2012). A study on evolutionary multi-objective optimization with fuzzy approximation for computational expensive problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7492 LNCS (PART 2), 102-111. http://doi.org/10.1007/978-3-642-32964-7_11

Di Nuovo, A.G., Marocco, D., Cangelosi, A., De La Cruz, V.M., & Di Nuovo, S. (2012). Mental practice and verbal instructions execution: A cognitive robotics study. Proceedings of the International Joint Conference on Neural Networks. http://doi.org/10.1109/IJCNN.2012.6252751

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. Proceedings of the International Joint Conference on Neural Networks, 2199-2204. 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. IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IA 2011: 2011 IEEE Symposium on Intelligent Agents, 47-53. http://doi.org/10.1109/IA.2011.5953611

Di Nuovo, A.G., Cannavò, R.B., & Di Nuovo, S. (2011). An intelligent infrastructure for in-flight situation awareness of aviation pilots. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6780 LNAI, 598-607. http://doi.org/10.1007/978-3-642-21852-1_69

Di Nuovo, A.G., Di Nuovo, S., Buono, S., Catania, V., & IEEE, (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., Di Nuovo, A.G., Palesi, M., Patti, D., & Morales, G.D.F. (2009). An effective methodology to multi-objective design of application domain-specific embedded architectures. 12th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2009, 643-650. http://doi.org/10.1109/DSD.2009.205

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. ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications, 128-133. 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. Proceedings of the International Joint Conference on Neural Networks, 690-696. http://doi.org/10.1109/IJCNN.2009.5178847

Di Nuovo, A.G., Catania, V., & IEEE, (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. Proceedings - 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools, DSD 2008, 656-659. 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. IEEE International Conference on Fuzzy Systems, 2077-2082. 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., & IEEE, (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., 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

Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). An Hybrid Soft Computing Approach for Automated Computer Design. STAIRS 2006, 142, 84-95.

Di Nuovo, A.G. (2006). Knowledge Base Extraction for Fuzzy Diagnosis of Mental Retardation Level. STAIRS 2006, 142, 50-61.

Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., Patti, D., & IEEE, (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-+.

Di Nuovo, A.G., & Catania, V. (2006). An efficient approach for the design of transparent fuzzy rule-based classifiers. IEEE International Conference on Fuzzy Systems, 1381-1387. http://doi.org/10.1109/FUZZY.2006.1681890

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.

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., & Catania, V. (2006). Genetic tuning of fuzzy rule deep structures for efficient knowledge extraction from medical data. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 6, 5053-5058. http://doi.org/10.1109/ICSMC.2006.385109

Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (2006). An efficient hierarchical fuzzy approach for system level system-on-a-chip design. Proceedings - 2006 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, IC-SAMOS 2006, 115-122. http://doi.org/10.1109/ICSAMOS.2006.300817

Barbera, M., Busà, 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 - IEEE Global Telecommunications Conference, 2, 1108-1113. 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.

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

Book chapters

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 Intelligent Systems Reference Library. (pp. 53-72). http://doi.org/10.1007/978-3-319-31056-5_5

Cangelosi, A., Morse, A., Di Nuovo, A., Rucinski, M., Stramandinoli, F., Marocco, D., ... Fischer, K. (2015). Embodied language and number learning in developmental robots. In Conceptual and Interactive Embodiment: Foundations of Embodied Cognition. (pp. 275-295). http://doi.org/10.4324/9781315751962

Ascia, G., Catania, V., Di Nuovo, A.G., Palesi, M., & Patti, D. (2008). Computational intelligence to speed-up multi-objective design space exploration of embedded systems. In Multi-Objective Optimization in Computational Intelligence: Theory and Practice. (pp. 265-299). 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

Other activities

Associate editor of Cognitive System Research (Elsevier).

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