Resende Faria, Ph.D.
Lecturer (Assistant Professor) in Computer Science
School of Engineering and Applied Science,
Aston University, Birmingham, UK
d.faria<"at">aston.ac.uk - fariadiego<"at">gmail.com
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Dr Diego R. Faria joined the School of Engineering & Applied Science of Aston University (UK) as a Lecturer in Computer Science in July/2016. He received his Ph.D. degree in Electrical and Computer Engineering from the University of Coimbra, Portugal in 2014. From 11/2017 to 03/2018 he coordinated a seed corn project "EMG-controlled Prosthetic Hand for Academia", funded by SARI, Aston University, to collaborate with Ingeniarius Ltd (Portugal) towards the development of a low cost 3D printed robotic hand controlled by electromyography (signals from the forearm muscles). From 2006 to 2013 Dr Diego Faria has collaborated on different European Projects, such as HANDLE-Developmental pathway towards autonomy and dexterity in robot in-hand manipulation and BACS-Bayesian Approach to Cognitive Systems. From Oct/2013 to Aug/2014 he has collaborated on the project Pedestrian Detection in Urban Challenging Scenarios, funded by the Portuguese Foundation for Science and Technology (FCT). In 2014, Dr. Diego (as core researcher) together with Dr. Mahmoud Tavakoli (PI) had the concession of a grant from the CMU-Portugal program for the project: Compliant Robotics Hands with Integrated Soft MEMS Skin (for Medical Prosthesis and Industrial Robotics Applications) - partnership between the ISR-UC and Soft Machine Lab of Robotics Institute at Carnegie Melon University (SML-CMU). From April 2014 to June 2016 he carried out his research as postdoctoral fellow at the Institute of Systems and Robotics, within the group of Automation & Robotics for Human Life, collaborating on the AMS-HMI project (Assisted Mobility Supported by Shared-Control and Advanced Human-Machine Interfaces), funded by FCT and the project Ambient Assisted Living funded by the ISR-UC. His research is focused on Human-Robot Interaction: Human Daily Activity (individual and social) and Emotion Recognition towards robot assisted living, and also Child-Robot Interaction towards assisting the facilitation of adaptive health-related coping and improved quality of life outcomes in pediatric settings (robotherapy). In 2017, he had the concession of a grant funded by the SEAS-Aston University to launch and coordinate the Artificial Intelligence & Robotics (AIR) club, which has the goal of preparing undergraduate and postgraduate students to apply AI concepts into practice using real robots (e.g. NAO’s, Pepper and Thymios) as an extracurricular activity. Currently, Dr Diego Faria has been carrying his research at the System Analytics Research Institute (SARI) collaborating with the Aston Lab for Intelligent Collectives Engineering (ALICE) and Aston Interactive Media (AIM) Lab.
Human-Robot Interaction (robot-assisted living, child-robot interaction);
Grasping & Dexterous Manipulation;
Artificial Perception Systems / Autonomous Systems;
CS2150 - Computer Graphics (10 credits) - 1st Term
CS2040 - Multimedia Science: software and applications (20 credits) - 2nd Term
DC1170 - Computer Systems and networks (10 credits) - Shared, I will be teaching Networks
Bird (2018 - ongoing) "Transfer
Learning for Multiple-Domain Sentiment Analysis and
Natural Language Processing towards Verbal
Communication in Human-Robot Interaction"
(title subject to change)
Rui Colaço de Almeida (2016) "Child-Robot Interaction: Handwriting Learning", Department of Electrical and Computer Engineering, University of Coimbra, Portugal. Research carried out at the Institute of Systems and Robotics, University of Coimbra, 2016. Supervisors: Dr Diego R. Faria and Prof. Urbano Nunes.
José Pedro da Silva Figueiredo Medeiros (2016) "Child-robot interaction: Learning by Imitation and Motion Generalization", Department of Electrical and Computer Engineering, University of Coimbra, Portugal. Research carried out at the Institute of Systems and Robotics, University of Coimbra, 2016. Supervisors: Dr Diego R. Faria and Dr Paulo Jose Monteiro Peixoto.
Mário Augusto da Costa Vieira (2015) "Recognition of Daily Activities and Risk Situations towards Robot-Assisted Living", Department of Electrical and Computer Engineering, University of Coimbra, Portugal. Research carried out at the Institute of Systems and Robotics, University of Coimbra, 2015. Supervisors: Dr Diego R. Faria and Prof. Urbano Nunes.
Final Year Project (B.Sc.)
Jordan Bird (2017-18). "Learning from interaction: An intelligent networked-based human-bot and bot-bot chatbot system". B.Sc. Computer Science, Aston University.
MahBub Hussain (2017-18). "CNN Transfer Learning for Image Classification". B.Sc. Computer Science, Aston University.
Malvin Harding (2017-18). "Gesture recognition for smart home applications". B.Sc. Computer Science, Aston University.
Rajdeep Sokhi (2017). "Game Interaction for Children’s Education". B.Sc. Computer Science, Aston University, 2017.
Mohammed Shoaib Baseel (2017). "Assisted Living: An application for fall detection using MS-Kinect". B.Sc. Computer Science, Aston University, 2017.
Janindri Wijesinghe (2017). "Improving the Usability of the Tribal College Mobile Application by using Evaluation Methods towards better User Interface Design and Efficiency". B.Sc. Computing for Business, Aston University, 2017.
Aug 2017: Invited Talk at RobotCraft 2017 (Summer School), Aug 21st, 2017, DEEC, University of Coimbra, Portugal.
June 2017: Organizing (collaboration with Nottingham Trent University, UK) the Workshop on Human Behaviour Monitoring, Interpretation and Understanding (NOTION) at ACM PETRA 2017 (Rhodes Islands, Greece).
Oct 2016: Invited to make part of the Organization of the IEEE-ROMAN'17 as co-chair of Workshops and Tutorials.
Sports : Martial Arts / Self defense; Gym; Football;
Guitar playing, Piano (I'm not an expert);
Watch Movies (Cinema / Theater).