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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Prize And Awards

Innovate UK KTP Engineering Excellence Award 2021: Recipient; 23/9/2021
Strategic Themes Research and Knowledge Exchange Impact Prize: Centre for Intelligent Dynamic Communications (CIDCOM) Team: Recipient; 25/8/2025
Scottish Knowledge Exchange Awards: Winner of the Place-based Impact: Recipient; 14/2/2025
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
Coherent load profile synthesis with conditional diffusion for LV distribution network scenario generation: Brash Alistair, Tachtatzis Christos, Stephen Bruce, Lu Junyi, Brown Blair David, Atkinson Robert, Michie Craig; Sustainable Energy, Grids and Networks (2026); https://doi.org/10.1016/j.segan.2026.102264
A comparison of carbon emissions perspectives for a single city and insights for data developers and policymakers: Williamson Jack, Allan Grant, Kilian Lena, Owen Anne, Kodoli Sandeep, Michie Craig, Tachtatzis Christos; Environmental Research Communications (2026); https://doi.org/10.1088/2515-7620/ae5d98
Signal-based malware classification using 1D CNNs: Wilkie Jack, Hindy Hanan, Andonovic Ivan, Tachtatzis Christos, Atkinson Robert; Cybersecurity Vol 9 (2026); https://doi.org/10.1186/s42400-025-00454-6
A novel contrastive loss for zero-day network intrusion detection: Wilkie Jack, Hindy Hanan, Michie Craig, Tachtatzis Christos, Irvine James, Atkinson Robert; IEEE Transactions on Network and Service Management Vol 23, pp. 2064-2076 (2026); https://doi.org/10.1109/TNSM.2026.3652529
Motor organisation of social play in children with autism: Clark Ruaridh, Lu Szu-Ching, Anzulewicz Anna, Sobota Krzysiek, Thompson Lucy, Hagberg Bibi, Thorsson Max, Tachtatzis Christos, Andonovic Ivan, McConnachie Alex, Minnis Helen, Wilson Philip, Rowe Philip, Gillberg Christopher, Macdonald Malcolm, Delafield-Butt Jonathan; Journal of the Royal Society Interface Vol 22 (2025); https://doi.org/10.1098/rsif.2025.0302

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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

Next Generation Resilient Dairying Conference 2025: Video Analytics for Enhancing Animal Welfare and Farm Resilience: Contributor; 24/11/2025
A Tool for Calculating the Optimal Configuration of a Fleet of Turbo Compressors Using Power Simulation Models.: Contributor; 10/9/2025
Automated Monitoring of Dairy Cow Behaviour and Feed Competition Using Computer Vision: Contributor; 28/8/2025
Seeing Double: Dual Camera 3D Localisation and Tracking of Dairy Cattle Using Monocular Depth Estimation: Contributor; 25/8/2025
Artificial Intelligence 4 Animal Science: Occlusion-Resilient Cattle Tracking in Barn Environments Using Monocular Depth Estimation and 3D Relational Bounding Boxes: Contributor; 9/6/2025
GEMINOA Project - Impact & Insights Workshop: Participant; 25/4/2025

More professional activities

Projects

SSEN Data to Insights (D2I) - SIF Alpha: Stephen, Bruce (Principal Investigator) Bhagavathy, Priya (Co-investigator) Tachtatzis, Christos (Co-investigator); 01-Jan-2025 - 28-Jan-2026
Deep Learning for Woodland Soil Biodiversity Identification and Monitoring (REA 3221): Tachtatzis, Christos (Principal Investigator); 01-Jan-2024 - 30-Jan-2027
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