Alessandro Di Nuovo

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Professor of Machine Intelligence

Sheffield Hallam University

United Kingdom

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Alessandro Di Nuovo is a Professor of Machine Intelligence at Sheffield Hallam University in the United Kingdom. His research focuses on the application of machine learning techniques, particularly in the areas of spiking neural networks, human-robot interaction, and the use of social robots to support individuals with autism. His recent publications explore topics such as gesture recognition, active inference in neuromorphic agents, and the psychological dimensions of robotics in social contexts.

Recent Grants

Grant: Close

Autonomous Learning and Development in Embodied Neuromorphic Systems (ALDENS)

Open Date: 2022-09-30

Close Date: 2024-09-29

Grant: Close

I'M-ACTIVE : Intelligent Multimodal Assessment and Coaching Through Identification of Vulnerabilities in older pEople

Open Date: 2022-06-30

Close Date: 2023-12-31

Grant: Close

EMERGENCE: Tackling Frailty - Facilitating the Emergence of Healthcare Robots from Labs into Service

Open Date: 2021-08-31

Close Date: 2024-08-30

Grant: Close

European Training Network on PErsonalized Robotics as SErvice Oriented applications

Open Date: 2021-01-01

Close Date: 2024-12-31

Grant: Close

Cognitive Assessment Through Human-robot Interaction (CATHI)

Open Date: 2018-12-01

Close Date:

Alessandro Di Nuovo

Research Interests

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Recent Grants

Articles (19)

Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker

Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties

Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors

Active Inference for Learning and Development in Embodied Neuromorphic Agents

Gesture recognition with a 2D low-resolution embedded camera to minimise intrusion in robot-led training of children with autism spectrum disorder

Gesture recognition with a 2D low-resolution embedded camera to minimise intrusion in robot-led training of children with autism spectrum disorder

Letter to the Editor on "How Can Biomedical Engineers Help Empower Individuals With Intellectual Disabilities? The Potential Benefits and Challenges of AI Technologies to Support Inclusivity and Transform Lives"

Social Robots: A Promising Tool to Support People with Autism. A Systematic Review of Recent Research and Critical Analysis from the Clinical Perspective

Social Robots Personalisation: At the Crossroads between Engineering and Humanities (CONCATENATE)

Assistive Multimodal Robotic System (AMRSys): Security and Privacy Issues, Challenges, and Possible Solutions

A robot that counts like a child: a developmental model of counting and pointing

Daily Gesture Recognition During Human-Robot Interaction Combining Vision and Wearable Systems

Abstract Concept Learning in Cognitive Robots

A Framework of Hybrid Force/Motion Skills Learning for Robots

Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults

The Role of Personality Factors and Empathy in the Acceptance and Performance of a Social Robot for Psychometric Evaluations

The role of personality factors and empathy in the acceptance and performance of a social robot for psychometric evaluations

A robot that counts like a child: a developmental model of counting and pointing

“Robot, tell me a tale!” A social robot as tool for teachers in kindergarten

Collaborators (9)

Sally Fowler Davis

Nicola Camp

Julie Johnston

Suvobrata Mitra

Daniele Magistro

Mariacarla Staffa

Erika ROVINI

Massimiliano Zecca

Laura Fiorini

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