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.

• PhD Computer Science, University of Essex, 2024
• MSc Artificial Intelligence, University of Essex, 2020

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