Electronics and Electrical Engineering

https://vios.science

Sotirios A. Tsaftaris is currently Chair (Full Professor) in Machine Learning and Computer Vision at the University of Edinburgh. He also holds the Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI. He is an ELLIS Fellow of the European Lab for Learning and Intelligent Systems (ELLIS) of Edinburgh’s ELLIS Unit. Since 2023 he is a visiting researcher with Archimedes RC a research centre of excellence in AI in Athens, Greece. Between 2016 and 2023 he was a Turing Fellow with the Alan Turing Institute.

He received the M.Sc. and Ph.D degrees in Electrical and Computer Engineering from Northwestern University, Evanston, IL, in 2003 and 2006, respectively, and the Diploma degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2000.

Previously he was an Assistant Professor with IMT Institute for Advanced Studies, Lucca, Italy and the Director of the Pattern Recognition and Image Analysis Unit at IMT. Prior to that, he held a joint Research Assistant Professor appointment at Northwestern University with the Departments of Electrical Engineering and Computer Science (EECS) and Radiology Feinberg School of Medicine. He maintained an adjunct appointment with EECS (2011-2015), and an affiliation with the Image and Video Processing Laboratory (IVPL), at Northwestern University.

He has published extensively, particularly in interdisciplinary fields, with more than 180 journal and conference papers in his active record, with a variety of co-authors and collaborators.

While he has served in many technical program committees of international conferences, and he actively reviews papers for several prestigious international journals, most notably he currently is an Associate Editor (AE) for the IEEE Transactions on Medical Imaging. He served as an AE for IEEE Journal of Biomedical and Health Informatics (2011-2021) and Elsevier DSP (2014-2018). He was tutorial chair for ECCV 2020. He was Doctoral Symposium Chair for IEEE ICIP 2018 (Athens). He has served as area chair for CVPR 2021, MICCAI 2018 (Granada), ICME 2018 (San Diego), ICCV 2017 (Venice), MMSP 2016 (Montreal), VCIP 2015 (Singapore). He has also co-organized workshops and tutorials for ECCV (2020, 2014), CVPR (2019), ICCV (2017), BMVC (2015), and MICCAI (2016, 2017, 2021).

He is a member of the IEEE, Senior Member, ISMRM, and SCMR.

His work has received several accolades, such as Best Paper Award (STACOM 2017), twice a Magna Cum Laude Award (ISMRM), a finalist for the Early Career Award (SCMR, 2011; SCMR, 2019 (Chartsias as PhD student)), and has had his work appear in journal covers and attract significant media coverage.

Prof. Tsaftaris is also a Murphy Fellow and a Fellow of the Alexander S. Onassis Public Benefit Foundation.

• 2000 - Diploma (5 year), Aristotle University of Thessaloniki (Greece), Electrical and Computer Engineering
• 2003 - MSc, Northwestern University (USA), Electrical and Computer Engineering
• 2006 - PhD, Northwestern University (USA), Electrical and Computer Engineering

• MSc Level Machine Learning for Signal Processing (2018-)
• MSc Level Advanced Concepts in Signal Processing (2016-2018)
• 3rd year undergraduate, Electromagnetics, Signals and Communications 3 (2017-2019)
• 3rd year undergraduate, Signals and Communications 3 (2015-2017)

• Medical Image Computing and Analysis
• Computer Vision and Machine Learning
• Artificial Intelligence
• Applications in the natural and life sciences

https://practable.io

Prof Timothy Drysdale is the Chair of Technology Enhanced Science Education and Director of Strategic Digital Education in the School of Engineering. He is also seconded part-time to the University's Curriculum Transformation Project focusing on digital innovation for experiential learning.

His main research activity is in Engineering Education (Key Research Area 10 for the School), where he leads the Remote Laboratories group.

He and his team have developed an entirely new infrastructure and approach for operating online remote laboratories on traditional campuses (practable.io), winning international awards from the Global Online Laboratories Consortium (Remote Experiment Award 2024) and the Association for Learning Technology / Jisc Award for Digital Transformation in 2023.

Remote laboratories allow students to access real equipment, in real-time, from almost any location. The aesthetically-pleasing experiments are installed in the foyers of buildings, giving the campus a science-museum feel, with every square metre of foyer space saving 150 square metres of teaching laboratory space.

Practable.io experiments, infrastructure, and expertise are available via subscription, purchase, or consultancy through Edinburgh Innovations (contact Tim in the first instance).

Prior to 2018, he was a Senior Lecturer in Engineering at the Open University, where he was the founding director and lead developer of the £3M openEngineering Laboratory, their first large-scale real-time remote laboratory, which attracted awards has attracted educational awards from the Queen's Anniversary Prize (2024), Times Higher Education (Outstanding Digital Innovation, 2017), The Guardian (Teaching Excellence, 2018), Global Online Labs Consortium (Remote Experiment Award, 2018), and National Instruments (Engineering Impact Award for Education in Europe, Middle East, Asia Region 2018, and the overall Global Award in 2019).

His discipline background is in electronics and electromagnetics, including terahertz metamaterial design, surface wave antennas for cubesats and orbital angular momentum radio links. He is Associate Editor of the IET journal Microwave Antennas and Propagation.

• PGCert Academic Practice, University of Glasgow, 2007
• PhD Passive Devices for Terahertz Frequencies, University of Canterbury (NZ) 2004
• B.Eng (First Class, University Prize) in Electronics and Electrical Engineering, University of Canterbury (NZ) 1998

• Senior Fellow of the Higher Education Academy
• Member IEEE

Tim's Remote Laboratories Group provides remote experiments used on engineering courses ranging from 1st-5th year and up to 450 students in size.

• Non-Traditional Practical Work
• Remote laboratories
• Electromagnetics

Teaching Matters Blog:

• https://www.teaching-matters-blog.ed.ac.uk/generative-artificial-intelligence-ban-or-embrace/
• https://www.teaching-matters-blog.ed.ac.uk/assessment-feedback-and-their-digital-futures/
• https://www.teaching-matters-blog.ed.ac.uk/its-too-risky-to-play-it-safe-with-digital-innovation/

Appearances in the School News:

• https://www.eng.ed.ac.uk/about/news/20190527/professor-tim-drysdale-wins-global-award-teaching-remote-labs
• https://www.eng.ed.ac.uk/about/news/20181120/tim-drysdale-recognised-pioneering-remote-lab-teaching

Gary is a Reader in Surfaces and Wetting at the School of Engineering at the University of Edinburgh.  He earned a BSc in 2005 and a PhD from Nottingham Trent University in 2009. Prior to joining the University of Edinburgh, he worked in industrial research at the Hewlett-Packard Display Research Lab and later served as an anniversary research fellow at Northumbria University, Newcastle. At Edinburgh, he is involved in and leads experimental research and development within the Wetting, Interfacial Science and Engineering group in the  Institute of Multiscale Thermofluids.

• BSc (Hons) Physics with Astrophysics
• PhD "Voltage Programmable Liquid Optical Interfaces

• Member of Istitute of Physics (IOP)
• Fellowship of the Higher Education Academy
• Member of the EPSRC College of Reviewers
• Committee member if IOP Printing, Graphic and Imaging Group

General Engineering 1: Course Organiser

Chemical Engineering Design 1: Co-Course Organiser

Electrical and Electronic Engineering 1: Co-Course Organiser

Gary's research focuses on the applications of surface coatings, and he designs and builds experiments and instrumentation to produce and understand the adhesion and friction of droplets on surfaces. He has conducted experimental research into surface coatings and their various applications. The coatings he has developed can be used in many applications, including heat and mass transfer and anti-fouling. 

As part of the WISE group, Gary collaborates with theoreticians to develop instrumentation and experiments to test and understand solid-liquid interfaces. His experimental research has led to multiple publications in high-ranking journals, with over 50 peer-reviewed articles in journals such as Langmuir, Nature Communications, Soft Matter, and the Journal of Fluid Mechanics.

Yuan Chen is a post-doctoral research associate in instrumentational development and application for chemical species tomography at The University of Edinburgh. His research interests are in the areas of developing agile tomography systems for combustion diagnosis and carbon capture process monitoring.

• Doctor of Philosophy (PhD), Institute for Digital Communication, the University of Edinburgh, 2022
• Master of Science (M.Sc.), Department of Chemical and Biological Engineering, the University of Sheffield, 2018
• Bachelor of Engineering (B.Sc.), Department of Chemical and Biological Engineering, the University of Sheffield, 2017

• Associate Memebership of Institution of Chemical Engineers (IChemE)