About Me

My name is Carlos Francisco Moreno-Garcia (or just Carlos!) and I am an Associate Professor in Computing at Robert Gordon University (RGU) in Aberdeen, Scotland, UK, as well as the School's Research Degree Co-Coordinator, and recently appointed Co-Director (Visualisation) of the newly created INSIGHT Research Centre. 

I studied a Bachelor in Electronic Engineering (Major in Telecommunications) at Tecnologico de Monterrey, Mexico City, Mexico (TEC CCM). After a tenure of two years as a collaborator for the "Center of Investigation in Mechanics and Biodesign" (CIMB) research group led by Prof. Rogelio Bustamante-Bello, I studied my Master's degree in Information Security and Intelligent Systems at Universitat Rovira i Virgili (URV) in Tarragona, Catalonia, Spain. Afterwards, I started my doctoral studies at the same institution, becoming part of the "Sensorial Systems Applied to the Industry" (SSAI) research group, led by Prof. Francesc Serratosa. 

After successfully obtaining my Ph. D. degree from Universitat Rovira i Virgili (Tarragona, Spain) in 2016, I became a research fellow in computing at RGU, where I developed an industrial project with The Data Lab Scotland and Det Norske Veritas Germanische Lloyd (DNV GL) on digitisation of complex engineering drawings used in the Oil & Gas sector, led by Prof. Eyad Elyan. Once I became a full-time lecturer, this experience led to me specialising in digitising other kinds of paper representations, such as architectural drawings, manuscripts, maps, financial diagrams, etc. I have participated in around ten projects related to document image analysis for these industries.

In 2020, I received a Newton Fund project in collaboration with Universidad Nacional Autonoma de México (UNAM), Centro de Computación Avanzada y Visión (CECAV), co-led by Prof. Boris Escalante. In this project, we explored methods based on computer vision, deep learning and human-computer interaction to develop an accessible system for early detection of cardiovascular diseases in partnership with hospitals and clinics in Mexico City. I have complemented this work by working in other projects, such as fracture detection (Jiva.ai and NHS Grampian) and collaborations with other health partners from University of Aberdeen to extract and analyse text from vast collections of literature to speed up the systematic review process as part of the Childhood Obesity in MexicO (COMO) project.

Other relevant experiences include being General Chair of BMVC 2023 (which I elevated into a CORE A Conference), Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, and being reviewer and topic editor for multiple other journals, as well as co-leading the Cluster of Machine Learning, AI and Data Science and leading the Science, Technology and Innovation Pillar and Red Global MX. Thanks to the latter, I participated in a project funded by EUDIF (European Union) to engage with the Mexican diaspora and help combat climate change through circular economy education in Mexico.

I love to practice sports (football, flag football, swimming, squash, running, and anything that comes in the way!) and to support my favourite teams, such as Real Madrid, Pumas UNAM and the Dallas Cowboys. I like dancing & watching wrestling/lucha libre. I enjoy listening to podcasts on politics, sports statistics for betting, fantasy football, and reading books on diverse topics.

Research Interests (last update: 12/03/2026)

Memberships and Volunteering

Conference Organisation

Patents and Software Registrations 

  • Title: Deep Neural Network-Based System for Detection and Classification of Construction Elements in Construction Engineering Drawings. Type: United States patent application (published; pending grant). Publication No.: US 2024/0428351 A1, published 26 December 2024. Application No.: 18/752,350, filed 24 June 2024 (provisional application 63/523,128, filed 26 June 2023). Applicant: Fieri Analytics Inc. (Ottawa, Canada). Inventors: B. Wang, S. Sottile, E. Elyan, L. Jamieson & C. F. Moreno-García. URL: https://patents.google.com/patent/US20240428351A1.
  • Title: SYSCARDIO: Sistema para Auxilio al Diagnóstico Médico de Enfermedades Cardiacas. Type: Software copyright registration (rama: Programas de Computación), Registro Público del Derecho de Autor. Registry: Instituto Nacional del Derecho de Autor (INDAUTOR), Mexico. Registration No.: 03-2021-121714091000-01, issued 4 January 2022. Holder: Universidad Nacional Autónoma de México (UNAM). Authors: 20 named authors including C. F. Moreno-García; software output of the SYSCARDIO Newton Fund Institutional Links project.

International Partnerships  

  • Partner: Ebonyi State Government (Nigeria). Type: Transnational postgraduate research (PhD) sponsorship partnership. Participant Institutions: RGU, Ebonyi State Government (Nigeria). Scale: 45 fully sponsored PhD students recruited across the University in 2026. Role: Research Degrees Coordinator for the School of Computing, Engineering and Technology (postgraduate research admissions and supervisory allocation for the cohort); Principal Supervisor of 1 and Second Supervisor of 3 students within the cohort. Value: ~£675’000 per annum in postgraduate research tuition income (recurring), ~£2’700’000 across the full registration period.
  • Project: CREST: Co-creation for Resilient Environments through Storytelling and Technology. Type: International research collaboration responding to the October 2024 DANA floods in Spain. Participant Institutions: RGU (lead), The James Hutton Institute, Universidad Politécnica de Madrid (Spain), Universitat Politècnica de València (Spain), Universitat Politècnica de Catalunya (Spain), Sapienza Università di Roma (Italy), Birmingham City University, and the local councils of Letur (Castilla-La Mancha) and Paiporta (Valencia). Role: Contributed to the LiDAR scanning of the two field sites (Letur and Paiporta) and assessed the viability of computer vision, egocentric vision, artificial intelligence and data visualisation for improving the scans and extracting further insight from the captured data. Funding: Participation funded through the RIS International Collaborations Fund travel award (see Projects & Grants). URL: https://www.rgu.ac.uk/news/news-2025/rgu-leads-international-project-to-support-valencia-after-devastating-floods.

Research Degree Studentships

ONGOING

Principal Supervisor

  • 2023-2027 (projected): Student's Name: Hamza Hussaini. Title: Autonomous Hybrid Model for Morphological Classification of CAR-T Cell Images for Acute Lymphoblastic Leukemia Patients. Second Supervisors: Prof Eyad Elyan (RGU), Dr Shahana Bano (RGU). Degree: PhD.
  • 2024-2028 (projected): Student's Name: Kuanyin Akech Malang. Title: AI for Sustainability and Sustainability for AI: Detection and Predictive Maintenance of Oil Spills for the People and the Planet. Second Supervisor: Pascal Ezenkwu. Degree: PhD.
  • 2026-2030 (projected): Student’s Name: Philip Nwangbo. Title: Automated Recognition and Digitisation of Handwritten Medical Records Using Machine Learning and Deep Learning: A Framework for Anaesthetic Records, and Clinical Notes. Second Supervisor: Prof Eyad Elyan. Degree: PhD.

Second Supervisor

  • 2022-2026 (projected): Student's Name: Craig Pirie. Title: Explaining Anomalies in Multi-variable Time-series Sensor Data. Principal Supervisor: Prof Nirmalie Wiratunga. Degree: PhD.
  • 2023-2026 (projected): Student's Name: Ikenna Ekeke. Title: Processing and Analysing Engineering Drawings from Architecture. Principal Supervisor: Prof Eyad Elyan. Degree: PhD.
  • 2023-2026 (projected): Student's Name: Mehrnaz Taheri. Title: Multi-modal Breast Cancer Detection. Principal Supervisor: Prof Radhakrishna Prabhu (School of Engineering, RGU). Other Secondary Supervisor: Dr Carlos Fernandez (School of Pharmacy, RGU). Degree: PhD.
  • 2024-2026 (projected): Student's Name: Samuel Ehiogu. Title: Deliberate Manipulation of User Behaviour and Emotion. Principal Supervisor: Dr John NA Brown. Degree: MRes.
  • 2025-2027 (projected): Student's Name: Davidson Chisom. Title: Human-Centred Forensic Analysis using Extended Reality (XR): Investigating Cognitive and Decision-Making Factors in Crime Scene Reconstruction. Principal Supervisor: Dr Shahana Bano. Degree: MRes.
  • 2025-2029 (projected): Student's Name: Yohan Bammunuarachchiqe Don. Title: Dialogue-Based Global Ontological Reasoning Layout (GORL) for Human-Aligned Autonomous Agents. Principal Supervisor: Dr Mark Snaith. Degree: PhD.
  • 2026-2030 (projected): Student’s Name: Otuu Okorie. Title: Recovery of Metals from Waste Batteries using Novel Sustainable Materials. Supervisory Team: Principal Supervisor: Dr Carlos Fernandez. Second Supervisor: Dr Carlos Moreno-García. Degree: PhD.
  • 2026-2030 (projected): Student’s Name: Christian Nwovu. Title: Responsible AI in Dermatology for Skin Cancer Detection Using Bias-Aware and Explainable Machine Learning on a Primary Image Dataset. Supervisory Team: Principal Supervisor: Dr Kyle Martin. Second Supervisors: Dr Pascal Ezenkwu, Dr Carlos Moreno-García. Degree: PhD.
  • 2026-2030 (projected): Student’s Name: Victor Nworie. Title: An Engine for Perceptually Adaptive VLM Sketch Generation and Augmented Reality-Driven Human Co-Creative. Supervisory Team: Principal Supervisor: Dr Verda Munir. Second Supervisors: Dr Carlos Moreno-García, Prof Maria Martinez Sanchez. Degree: PhD.
  • 2026-2030 (projected): Student’s Name: Buhari Aliyu. Title: Graph Neural Network Intrusion Detection System for Critical Infrastructure. Supervisory Team: Principal Supervisor: Dr Janaka Seyananake. Second Supervisor: Dr Carlos Moreno-García. Degree: PhD.

COMPLETED

Principal Supervisor

  • 2021-2024: Student's Name: Regina Ofori-Boateng. Title: Automating Systematic Literature Reviews in Healthcare: Leveraging Artificial Intelligence for Enhanced Evidence-Based Decision Making. Second Supervisors: Prof Nirmalie Wiratunga (RGU), Dr Magaly Aceves-Martins (The Rowett Institute, University of Aberdeen). Degree: PhD.

Second Supervisor

  • 2022-2023:  Student's Name: Luis Toral Quijas. Title: Towards Automated Remote Inspection of Offshore Components. Principal Supervisor: Prof Eyad Elyan (RGU). Degree: MRes.
  • 2019-2024: Student's Name: Laura Jamieson. Title: An Active Deep Learning Framework for Digitising Complex Engineering Diagrams. Principal Supervisor: Prof Eyad Elyan (RGU). Degree: PhD.

 External PhD Examinations 

  • November 2026 (scheduled): St Andrews
  • February 2026: University of Wollongong
  • November 2025: Universitat Rovira i Virgili
  • June 2025: Universitat Autònoma de Barcelona
  • December 2024: Anglia Ruskin University
  • November 2024: Universitat Rovira i Virgili
  • January 2024: University of Nottingham
  • November 2020: Universitat Rovira i Virgili 
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