Professor Christos Tachtatzis

Electronic and Electrical Engineering

Personal statement

I am a Professor in Applied Artificial Intelligence in the Department of Electronic and Electrical Engineering. I re-joined the University of Strathclyde in 2011 and in 2016 I was awarded a prestigious Chancellor’s Fellow award. I became a Senior Lecturer in 2018, a Reader in 2021, and a Professor in 2024. My current activities focus on applied Artificial Intelligence and industrial informatics, with particular emphasis on:

Computer Vision for Image and Video
Multimodal Learning
Domain adaptation
Causality and explainability

My research interests are interdisciplinary, spanning across various application domains and industrial sectors, including:

Sustainable Agri-food Systems (Livestock and Arable)
Digital Health
Advanced Manufacturing
Cybersecurity

I am the Theme Lead for the Measurement, Digital and Enabling Technologies (MDET) Strategic Theme, Co-Director of the Laboratory for Innovation in Autism, Strathclyde lead for the UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial INtelligence (SUSTAIN), and a member of the HeatlhTech Cluster management team. Additionally, I serve on the Innovation Advisory Board in The Data Lab Innovation Centre, advising on innovation and collaborative projects. I am also a member of the Specialist Advisory Group on applications of Artificial Intelligence for Environment, Natural Resources & Agriculture Policy advising Scottish Government on the use, future opportunities, risks and regulatory aspects of AI. I am a strong advocate for interdisciplinary research and I am involved in multiple projects funded by UKRI, InnovateUK and H2020.

Expertise

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Area of Expertise

Machine Learning and Artificial Intelligence
Computer Vision
Video Analytics
Edge and Cloud Computing Analytics

Prize And Awards

Innovate UK KTP Engineering Excellence Award 2021: Recipient; 23/9/2021
Finalist in Herald Higher Education Awards - Outstanding Business Engagement in Universities: Recipient; 31/5/2022
Strathclyde Team Medal for Innovation in Autism: Recipient; 28/9/2018
SIN 2014 - Best Paper Award: Recipient; 11/9/2014

More prizes and awards

Qualifications

Member of the IET
Senior Member IEEE
Fellow of the Higher Education

Publications

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Publications

Deep internal learning for inpainting of cloud-affected regions in satellite imagery: Czerkawski Mikolaj, Upadhyay Priti, Davison Christopher, Werkmeister Astrid, Cardona Javier, Atkinson Robert, Michie Craig, Andonovic Ivan, Macdonald Malcolm, Tachtatzis Christos; Remote Sensing Vol 14 (2022); https://doi.org/10.3390/rs14061342
A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts: Chua Yu Wei, Jiménez-Sánchez Lorena, Ledsham Victoria, O’Carroll Sinéad, Cox Ralf F A, Andonovic Ivan, Tachtatzis Christos, Boardman James P, Fletcher-Watson Sue, Rowe Philip, Delafield-Butt Jonathan; Scientific Reports Vol 15 (2025); https://doi.org/10.1038/s41598-024-83194-w
Augmenting cattle tracking efficiency through monocular depth estimation: Dickson Lewis T, Davison Christopher, Michie Craig, McRobert Ewan, Atkinson Robert, Andonovic Ivan, Ferguson Holly, Dewhurst Richard, Briddock Roger, Brooking Mark, Pavlovic Dejan, Marko Oskar, Crnojevic Vladimir, Tachtatzis Christos; IEEE Conference on AgriFood Electronics (2024)
A novel online position estimation method and movement sonification system : the Soniccup: Nown Thomas H, Grealy Madeleine A, Andonovic Ivan, Kerr Andrew, Tachtatzis Christos; Sensors Vol 24 (2024); https://doi.org/10.3390/s24196279
Neural knitworks : patched neural implicit representation networks: Czerkawski Mikolaj, Cardona Javier, Atkinson Robert, Michie Craig, Andonovic Ivan, Clemente Carmine, Tachtatzis Christos; Pattern Recognition Vol 151 (2024); https://doi.org/10.1016/j.patcog.2024.110378
Multi-label classification of crystallisation outcomes from in-situ imaging: Sandhu Parandeep, Boyle Christopher, Tachtatzis Christos, Cardona Javier; 2024 British Association for Crystal Growth Annual Conference (2024)

More publications

Teaching

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Teaching

Currently teaching two classes:

EE992 - Neural Networks and Deep Learning
EE273, EE985 - Engineering Design For Software Development 2: Object oriented programming using C++

Modules taught in the past:

EE579 Advanced Microcontroller Applications - fifth year microcontrollers class using MSP430 in Assembly and C.
EE987 - Sensor technologies
DM996 - Intelligent Sensing, Reasoning And Deep Learning

Research

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Research Interests

Machine Learning and Artificial Intelligence:

Deep Learning Video and Image Analytics (Multi-view Multi-object Detection and Tracking, Image reconstruction, Image Inpainting and Synthesis)
Time Series Classification, forecasting and generation/imputation
Anomaly Detection and Event Classification
Remote Sensing and Earth Observation
Spectral analysis and Hyperspectral Imaging

Professional Activities

Strategic Themes: Applied AI Workshop: Participant; 17/1/2025
Remote Ambient Sensing for Precision Livestock Farming: Invited speaker; 18/9/2024
Icelandic Research Fund (External organisation): Advisor; 1/8/2024
Digital Signal Processing (Journal): Peer reviewer; 1/8/2024
Horizon Europe 6G-ICARUS (External organisation): Advisor; 28/4/2024
IEEE International Conference on Distributed Computing Systems: Organiser; 1/4/2024

More professional activities

Projects

The temporal architecture of imitative interaction during the first three months of life: Delafield-Butt, Jonathan (Principal Investigator) Tachtatzis, Christos (Co-investigator); 01-Jan-2024 - 28-Jan-2027
NeRDA Options Appraisal: Stephen, Bruce (Principal Investigator) Bhagavathy, Priya (Co-investigator) Tachtatzis, Christos (Co-investigator); 03-Jan-2024 - 03-Jan-2024
Federated Learning Optimised for Remote Assessment of Species in Arable and Grassland Ecosystems (FLORA-SAGE): Tachtatzis, Christos (Principal Investigator) Andonovic, Ivan (Co-investigator) Michie, Craig (Co-investigator); 02-Jan-2024 - 28-Jan-2027
UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial: Tachtatzis, Christos (Principal Investigator) Michie, Craig (Co-investigator); 01-Jan-2024 - 30-Jan-2032
Improved productivity and sustainability in high value dairy production through the deployment of low cost wireless methane sensors (Digital Dairy Chain): Michie, Craig (Principal Investigator) Andonovic, Ivan (Co-investigator) Lengden, Michael (Co-investigator) Tachtatzis, Christos (Co-investigator); 01-Jan-2023 - 31-Jan-2025
22/145 Systems Engineering Innovation hubs for Multiple longterm Conditions - Development phase: Maier, Anja (Principal Investigator) Connolly, Patricia (Co-investigator) Gray, Louise (Co-investigator) Inns, Tom (Co-investigator) Kurdi, Amanj (Co-investigator) Maguire, Roma (Co-investigator) Mehnen, Jorn (Co-investigator) Michie, Craig (Co-investigator) Mueller, Tanja (Co-investigator) Picanco Rodrigues, Vinicius (Co-investigator) Tachtatzis, Christos (Co-investigator) Whitfield, Ian (Co-investigator); 01-Jan-2023 - 31-Jan-2025