Electronics and Electrical Engineering

My research includes methodologies for approximate inference, particularly variational inference and Monte Carlo methods, as well as stochastic modelling for time series data. On the applied side, I primarily work on multi-object tracking, distributed sensor fusion, and intent inference.

I obtained my PhD in Information Engineering from the University of Cambridge, and previously held research associate positions at the Alan Turing Institute and the University of Cambridge.

I have served as a reviewer for international journals and conferences, including IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Signal Processing. I also organised a special session at the IEEE Statistical Signal Processing Workshop 2025.

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

Bochen Ye is currently a first-year PhD student at the Centre for Electronics Frontiers, University of Edinburgh. Before that, he received his Master degree in Eletrical Engneering from Eindhoven University of Technology(TU/e), Netherlands in 2024 and Bachelor degree in Integrated Circuit Design and Integrated Systems from Hefei University of Technology(HFUT), China in 2022. He was a intern at NXP Semiconductor and Intrinsic ID(now part of Synopsys).

PhD student in Engineering - UoE, UK, Now

M.S.(ir.) in EE - TU/e, NL, 2024

B.Eng. in IC design - HFUT, China, 2022

Bochen's research focuses on designing digital hardware acceleration systems for large-scale AI models using novel architectures, aiming to overcome memory and computational bottlenecks. His work emphasizes efficient dataflow, high-performance accelerators, and energy-efficient AI systems on digital ASIC chips. His current focus is on advancing hardware accelerators for LLMs, VLMs, and generative AI to enable next-generation intelligent computing.

Soft Systems Group website

• BEng(hons), MRes, PhD

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

• Programme Director: MSc Electronics

https://elliotjcrowley.com