Electronics and Electrical Engineering

https://modular-power-electronics.com/

• PhD in Electrical Engineering from Imperial College London (UK), 2013, awarded the “Eryl Cadwaladr Davies” Prize for Best Doctoral Thesis in the Electrical and Electronic Engineering Department.
• MSc Control Systems from Imperial College London (UK), 2008, obtained with Merit.
• Diplôme "Ingénieur en Électronique" from ENSEA (Cergy, France), 2008.
• Diplôme Universitaire Technologique in "Génie électrique et Informatique Industrielle" from Institut Universitaire de Belfort-Montbéliard (Belfort, France), 2005.

• Member of the Institute of Electrical and Electronics Engineers (IEEE); societies: PELS, PESand CS
• Member of the Institution of Engineering and Technology (IET)

• Advanced Control for Electrical Power Engineering [MSc]
• Distributed Energy Resources and Smart Grids [4/MSc]

Danial is an academic at the School of Engineering at the University of Edinburgh, Scotland. His research focuses on developing new tools and paradigms of AI-assisted design and test automation for Electronics engineering. Previously, his research focused on optoelectronics sensors, including Single Photon Avalanche Diode (SPAD) arrays for biomedical and communication systems. He received his BSc in electronics engineering from Chamran University of Ahvaz, Iran, in 2007, an MSc in Microelectronics and system engineering from the Computer Science at the University of Bristol in 2009, and a DPhil in engineering science from the University of Oxford Microelectronics group in 2013. During his DPhil studies, his work was based on various designs for Single Photon Avalanche Diode (SPAD) arrays. He designed and tested SPADs for CMOS imaging, fluorescent measurements, and optical communications. He made the first analogue SPAD arrays, which had a compatible readout mechanism with conventional CMOS image sensors. His thesis on single-photon avalanche diodes for optical communications demonstrated that a SPAD receiver can achieve faster data rates than its deadtime.

In 2013, he then joined the UCL Department of Medical Physics and Biomedical Engineering to develop wearable optical brain imaging systems. He used sensitive photodetection and compact digital systems to achieve high-density multi-wavelength source-detector arrays.

In 2017, he joined the School of Engineering at the University of Edinburgh as a Chancellor’s Fellow in Electronics. He is part of the co-investigator team at QuantIC , the UK Quantum Technology Hub in Quantum Enhanced Imaging, developing detector arrays and systems for a variety of applications from fundamental quantum physics to consumer cameras.

Danial is the programme director of MSc Electronics and teaches the IC design course and lab to the MSc students and undergraduates at the University of Edinburgh.

For further information and projects, please visit my personal Home Page.

For a full list of publications, please visit Google Scholar.

For an up-to-date list of projects and open-source activities, please visit EElab.dev.

* For PhD opportunities, please contact me *

• DPhil in Engineering Science, University of Oxford, UK, 2009-2013
• MSc in Advanced Microelectronics Systems Engineering, University of Bristol, UK, 2007-2008
• BSc in Electronics Engineering, Chamran University of Ahvaz, IRAN, 2002-2007

Programme Director for MSc Electronics

Course organiser for the following courses:

• Analogue Electronics (Project) 4 - Semester two only
• Analogue VLSI Project (MSc)
• Analouge IC Design (MSc)

For a full list of publications please visit Google Scholar.

I am a Chancellor’s Fellow in Engineering Biology. My research focuses on the development and use of cybergenetic platforms to model and control complex biological phenomena, with applications in engineering biology and precision medicine. In particular, I am interested in using data-driven approaches to understand and stear the behaviour of biological networks in dynamic environments. I hold a PhD in Bioengineering. I am an Associate Fellow of the Higher Education Academy (FHEA).

I started my studies in biomedical engineering at the University of Bologna (Italy), in 2007. Having developed an interest in cellular and molecular engineering, in 2010 I joined the MSc programme in biomedical engineering offered by the same university. In 2013 I pursued my PhD in Bioengineering, where I undertook mathematical modelling and in vivo-studies of bacterial genetic programmes operating through transcriptional or post-transcriptional control.

To improve my skills in quantitative, single-cell assays, in 2015 I visited Prof. Peter Swain's laboratory at the Centre for Synthetic and Systems Biology, University of Edinburgh. One year later, I joined the lab as a PDRA to investigate phenotypic variability in the budding yeast’s galactose metabolic network and consolidate my expertise in quantitative microscopy and microfluidics.

Having being awarded an EPSRC Postdoctoral Fellowship, in 2017 I joined the School of Engineering, University of Edinburgh. In the following three years, I researched technologies to automate the development and use of mathematical models of synthetic gene networks.

In 2021, I received a tenure track fellowship to establish my research independence.

I am the Deputy Head of Graduate School (Postgraduate Experience) (2024 -).

I am the Deputy Biological Safety Officer and the Genetic Modification Biological Safety Officer (2021 -).

I was the Postgraduate Academic Adviser for Institute for Bioengineering in the School Postgraduate Progression Committee (SPPC) and the School Postgraduate Experience Committee (SPEC) (2021 - 2024).

I was the organiser of the seminar series for the Institute for Bioengineering (2021-2024).

• PhD in Bioengineering, University of Bologna (Italy), 2013-2016
• MSc in Biomedical engineering, University of Bologna (Italy), 2010-2012
• BSc in Biomedical engineering, University of Bologna (Italy), 2007-2010

Associate Fellow of the Higher Education Academy (AFHEA), 2020

• Engineering Principles 1 (SCEE08012)
• Lab-on-Chip Technologies (ELEE11097, PGEE11042) - Course organiser

• mathematical modelling
• optimal experimental design
• microfluidics

Google Scholar

Hongye ZHANG (FHEA, MIEEE, MIET) received his BSc and MSc in Electrical Engineering from Xi’an Jiaotong University, Xi’an, China, in 2015 and 2018, respectively, a Diplôme d’ingénieur from École Centrale de Lyon, Lyon, France, in 2018, and his PhD degree in Applied Superconductivity from The University of Edinburgh, UK, in 2021.

In 2021, he was awarded one of the six IEEE Council on Superconductivity Graduate Study Fellowships. He has been working on the £54-million collaborative H2GEAR project as a Research Associate at The University of Manchester since May 2021.

He is currently a Lecturer (Assistant Professor) in Superconducting/Cryogenic Electric Machines at the University of Edinburgh and a Visiting Research Fellow at the University of Manchester.

His research encompasses Design & Analysis & Testing of Superconducting/Cryogenic Electric Machines, Numerical Modelling & Measurement of Superconductors, Hydrogen Energy, and Artificial Intelligence.

He is currently a Board Member of the European Society for Applied Superconductivity (ESAS), a Board Member of the HTS Modelling Workgroup, and an Early Career Editorial Board member & Associate Editor for the Elsevier journal Superconductivity, etc.

He is the Chairman of the international workshop HTS 2026.

• BSc (2015) and MSc (2018) in Electrical Engineering, Xi’an Jiaotong University, China
• Diplôme d’ingénieur (MEng, 2018) in General Engineering, École Centrale de Lyon, France
• PhD (2021) in Applied Superconductivity, The University of Edinburgh, United Kingdom

• Board Member of The European Society for Applied Superconductivity (ESAS)
• Board Member of the HTS Modelling Workgroup
• Early Career Editorial Board Member & Associate Editor of Elsevier Superconductivity (Q1)
• Programme Committee Member of SMT 2023
• Technical Editor for IEEE Transactions on Applied Superconductivity, MT-28
• Guest Editor for a Special Issue of Crystals
• Winner of the 2021 IEEE Council on Superconductivity Graduate Study Fellowship in Applied Superconductivity
• Member, IET
• Member, IEEE

• BEng - Power Engineering 2
• MEng - Electrical Machines and Power Electronics (IDCORE)

Hongye ZHANG’s interdisciplinary research combines Electric Machines & Drives, Clean Energy Conversion, Superconductor Technology, Cryogenic Techniques, Hydrogen Energy, and Artificial Intelligence to contribute to low/zero emission technology.

His interests centre on Net Zero Transport and Hydrogen Energy with a focus on power-dense and highly efficient next-generation propulsion electric machines. His current research focuses on the design, analysis, build, and testing of cryogenic/superconducting motors for sub-regional electric aircraft exploiting hydrogen propulsion.

His long-term vision is to build a world-leading research group at the interface of academia and industry that will further advance the decarbonisation of future transport.

• Numerical modelling of high temperature superconductors
• Design and analysis of electric machines
• High-speed propulsion machines for electric aircraft
• Hydrogen energy application
• Engineering AI

Srinjoy Mitra received his B.S. degree in physics and electronics from Calcutta, India and his M.Tech. degree from the Indian Institute of Technology, Bombay, India. After spending a short time in the electronics industry (in India and Japan), he received his Ph.D. from the Institute of Neuroinformatics, ETH Zurich in 2004. Between 2008 and 2010 he worked as a post-doctoral researcher at Johns Hopkins University, Baltimore, USA.

He then joined the medical electronics team at IMEC, Belgium and worked there as a senior scientist until early 2016. At IMEC he had taken up leadership roles in various industrial and public-funded projects primarily related to bio-potential recording. Electro-encephalography (EEG) measurement ICs developed by him have been successfully validated in a clinical environment and is now commercialized. Dr. Mitra also led multiple projects on neural implants for central and peripheral nervous systems. This resulted in the development of generations of CMOS neural recording probes with the highest electrode density. Prof Mitra returned to academia as a Lecturer in the Biomedical Engineering Division at the University of Glasgow. In 2017 he moved to the Integrated Micro and Nano Systems, University of Edinburgh.

Prof Mitra has two parallel research tracks.

His technological research interests are in low-power sensor interfaces, medical/neural electronics, neuromorphic systems and in engineering education. Dr Mitra is the Program Director for the MSc in Sensors and Imaging System. He is also a founding member of Edinburgh Neuroprosthetics Lab.

He is also deeply interested in technological innovation, its global implications, and its pedagogy. This includes a critical analysis of relentless growth in digital technologies and its impact on the planet and people, both historical and in future. He is the convenor of the Decolonisation Working Group in the College of Science and Engineering. Read recent paper here [1],[2],[3].

Post-Docs

• Bartas Abaravicus
• Ahmet Erdogan
• Fan Yang
• Ildar Rakhmatulin
• Ju Wei

Present PhD students

• Rigi Amin
• Amlan Nag
• Pablo Ledsema Lopez
• David Vaca-Benavides
• Nur Sakinah Asaad (Nina)
• Xin Sun (Susie)

Past team members (PhD and Post-Doc)

• Andrew Mugisha
• Bogdan Raducanu (IMEC, Belgium)
• Zie Zhang (MIT, USA)
• Claudio Accarino (Leonardo, Edinburgh, UK)
• Priya Gupta (UCL, UK)
• Jamie Marland (University of Edinburgh, UK)
• Chandrasekaran Gunasekaran (Renesas Electronics, UK)
• José Cortés Guzmán (academic, Mexico)
• Sadeque Reza Khan (Hariot-Watt University, UK)
• Adarsh Nigam
• Anil Kumar
• Shouyu Xie
• Mike Huang
• Urwah Arif

Ongoing Projects

• AUTOCAPSULE
• Advanced Care Research Center (ACRC)
• SPADs in Neuroscience
• Sonobeamer
• Hoovertron, a FND diagnostic device
• Smart Socks for incontinence management

Past Projects

• IMPACT Implantable Microsystems for Personalised Anti-Cancer Therapy
• SONOPILL Ultrasonic capsule endoscopy
• Multicorder Point of Care devise for multimodal analysis
• Smart Stent
• AQUASENSE

Public Outreach (Podcasts)

• Decolonising Engineering curriculum and decentering scientific knowledge from Eurocentric perspectives
• Ultra-high density silicon probes for neural recording

• PhD (Institute of Neuroinformatics, ETH, Zurich)
• MTech (Indian Institute of Technology, Mumbai)

• Analogue VLSI Project (4) / Analogue VLSI Lab
• Analog Electronics (Circuits) 4 / Analog Circuit Design
• Applications of Sensor and Imaging Systems
• ACRC Grand Challenge

• Analog circuit design
• Technosocial aspects of Engineering
• Decolonisation in Engineering

Soft Systems Group website

• BEng(hons), MRes, PhD

• Member of the Royal Society of Edinburgh Young Academy of Scotland (MYAS)

• Programme Director: MSc Electronics