Research Staff

Andreas Tsiamis received the B.Sc. degree in Computer Science, B.Eng. degree in Electronics and Electrical Engineering, and the Ph.D. degree from the University of Edinburgh. His Ph.D. thesis was on electrical test structures and measurement techniques for the characterisation of advanced photomasks, and he frequently presented his work at the IEEE International Conference on Microelectronic Test Structures (ICMTS).

Andreas is an Experimental Officer in Nanofabrication with the Centre for Electronics Frontiers, a member of the Institute for Integrated Micro and Nano Systems and based at the Scottish Microelectronics Centre. He joined the School of Engineering in 2011 as a post-doctoral researcher where he primarily worked on interdisciplinary projects (such as METOXIA, IMPACT and Smart Stent) focusing on More than Moore technologies and on the development of sensors and smart microsystems for chemical and medical applications. Additionally, he has contributed to research activities on 2D semiconductors, MEMS, semiconductor packaging, fluidic devices and robotics for extreme environments. More recently he has collaborated with industry partners to develop field emitter arrays for 3D medical imaging. He is frequently engaging with industry in an advisory capacity on cleanroom microfabrication processes and related technologies.

His current research interests are on metal-oxide memristive technologies where he is also exploring routes for their integration with CMOS. Throughout his research he has established novel semiconductor micro/nano fabrication techniques, both at wafer and chip level. He has over 50 published outputs (book chapters, journal and conference publications) and is a named inventor on one patent application.

• BSc, BEng, PhD

• Publications (on Google Scholar)
• ORCID iD
• ResearchGate

Anup is a sustainability enthusiast specialising in renewable power generation in the electrical power system. His main areas of interest are in the resource-to-wire modelling and control of renewable power converters, distributed generation and smart grids.

• PhD in Electrical Power Systems, The University of Edinburgh, UK, 2012
• B.Tech. in Electrical and Electronics Engineering, Amrita University, India, 2007

• Member of the Institution of Electrical and Electronics Engineers, USA
• Member of the Institution of Engineering and Technology, UK

• Tutor and demonstrator on the MSc. Power System and Economics course
• Demonstrator on the 3rd year electrical machines lab
• Supervised four MSc dissertations on network integration and control of wave power farms

• Power systems modelling
• Renewable energy based distributed generation
• Wave-to-wire modelling and control of arrays of wave energy converters
• Current-to-wire modelling and control of arrays of tidal energy converters

I am a Chancellor's Fellow in Health and Life within the School of Engineering. My research focuses on the use of numerical modelling and machine-learning framework for disease diagnostics.

PhD Aerospace Engineering, University of Manchester, 2019

MEng Aerospace Engineering, University of Manchester, 2014

• Numerical modelling
• Blood flow modelling
• Inertial microfluidics
• Disease diagnostics
• GPU acceleration