Projects per year
Personal profile
Research interests
Dr. Diego R. Faria is a Reader in Robotics and Adaptive Systems at the School of Physics, Engineering, and Computer Science, University of Hertfordshire, U.K. He specializes in cognitive robotics, artificial intelligence, multisensory AI, and human-robot interaction (HRI), with a strong focus on neuro-affective intelligence, socially assistive robots, and AI-driven healthcare applications.
Academic and Research Background
Prior to joining Hertfordshire, Dr. Faria was a Lecturer (2016-2019) and Senior Lecturer (2019-2022) at Aston University, Birmingham, U.K. From 2014 to 2016, he was a Postdoctoral Fellow at the Institute of Systems and Robotics, University of Coimbra, collaborating on EU-funded and Portuguese government-funded projects in robotic grasping, artificial perception, cognitive robotics, assistive technology, and applied machine learning (including Bayesian inference).
Key Research Contributions and Projects
🔹 Project Coordinator of the EU CHIST-ERA InDex Project (Robot In-hand Dexterous Manipulation), funded by EPSRC U.K. (2019–2022), leading a collaboration with Sorbonne University, TU Wien, University of Genoa, and University of Tartu.
🔹 Principal Investigator (PI) for Industry Collaboration Projects through KTP-Innovate U.K., focusing on perception and autonomous systems for self-driving vehicles (2020–2022).
🔹 PI of the Royal Society-funded project "Sim2Real" (From Simulation to Real Robotic Applications), exploring deep reinforcement learning and knowledge transfer for robotic adaptation (2019-2022).
🔹 Lead Investigator (PI UK side) in International Collaborations with Brazilian Universities (UFPR, UEL) on:
✅ Brain-computer interface (BCI) and prosthetics: Merging EMG and EEG signals for controlling a robotic hand (CONFAP-Brazil & Newton Fund).
✅ AI-driven interactive games for neurocognitive training in children with learning difficulties and neurodevelopmental disorders (CONFAP-Brazil & IEEE RAS-SIGHT).
Research Interests
Dr. Faria's research lies at the intersection of robotics, artificial intelligence, and neuroscience, focusing on:
- Neuro-Affective Intelligence & Emotion-Aware AI 🧠🤖
- Multisensory AI for Human-Robot Interaction (HRI)
- Socially Assistive Robotics & Cognitive Rehabilitation
- Brain-Computer Interfaces (BCI) & AI-Driven Prosthetics
- Adaptive Learning & Human-AI Collaboration
- Deep Reinforcement Learning for Sim2Real Transfer
- Perception & Autonomous Systems in Robotics
With a strong record in interdisciplinary research and funding acquisition, Dr. Faria is committed to advancing AI-driven solutions for healthcare, education, and autonomous systems, fostering real-world impact through collaborations with academia, industry, and government agencies. 🚀
Education/Academic qualification
Cognitive Robotics and AI, PhD, Probabilistic Learning of Human Manipulation of Objects towards Autonomous Robotic Grasping, University of Coimbra
Award Date: 3 Apr 2014
Image Processing, MSc, Fingerprint recognition with low computational cost for an access control system, Universidade Federal de Parana, Curitiba
Award Date: 16 Dec 2005
Computer Science, Postgraduate (Specialisation) PGDip, State University of Londrina, State University of Londrina
Award Date: 1 May 2002
Informatics: Data Computing , BTech, Development of an Integrated Multi-User System for Inventory Tracking and Management, UNIFIL
Award Date: 3 Apr 2001
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Collaborations and top research areas from the last five years
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SWAG: SOFT WEARABLE ASSISTIVE GARMENTS FOR HUMAN EMPOWERMENT
Amirabdollahian, F. (PI), Holthaus, P. (CoI), Lakatos, G. (CoI), Resende Faria, D. (CoI) & Romero Moreno, F. (CoI)
1/11/23 → 31/10/27
Project: Research
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InDex: Robot In-hand Dexterous manipulation by extracting data from human manipulation of objects to improve robotic autonomy and dexterity
Resende Faria, D. (PI)
1/03/19 → 1/02/22
Project: Research
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Cognitive Agentic AI: Probabilistic Novelty Detection for Continual Adaptation in HRI
Ghamati, K., Amirabdollahian, F., Resende Faria, D. & Zaraki, A., 9 Jun 2025, (Accepted/In press) IEEE RO-MAN 2025. Institute of Electrical and Electronics Engineers (IEEE), p. 1-8 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Employing WGAN-GP for Synthesizing Biophysical Data: Generating Synthetic EEG for Concentration and Relaxation Level Prediction
Venugopal, A., Faria, D. R. & Arai, K. (Editor), 5 Mar 2025, Advances in Information and Communication - Proceedings of the 2025 Future of Information and Communication Conference, FICC 2025: Proceedings of the 2025 Future of Information and Communication Conference (FICC). Arai, K. (ed.). 1 ed. Springer Nature , Vol. 2. p. 62-80 19 p. (Lecture Notes in Networks and Systems; vol. 1284 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing
Resende Faria, D., Godkin, A. L. & da Silva Ayrosa, P. P., 14 Feb 2025, In: Sensors. 25, 4, p. 1-28 28 p., 1161.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)16 Downloads (Pure) -
Real-Time Gaze Estimation Using Webcam-Based CNN Models for Human-Computer Interactions
Vidhya, V. & Resende Faria, D., 10 Feb 2025, In: Computers. 14, 2, p. 1-27 27 p., 57.Research output: Contribution to journal › Article › peer-review
Open AccessFile22 Downloads (Pure) -
Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks
Venugopal, A., Resende Faria, D. & Bouras, C. (Editor), 22 Nov 2024, (E-pub ahead of print) In: Applied Sciences. 14, 23, p. 1-21 21 p., 142310818.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)10 Downloads (Pure)