Dr Danial Chitnis

Chancellor's Fellow

Email: 

Location: 

G.06a Scottish Microelectronics Centre

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Integrated Micro and Nano Systems
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Biography: 

Danial received his BSc in electronics engineering from Chamran University of Ahvaz, Iran, in 2007, an MSc in Microelectronics and system engineering from 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 their 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. 

 

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

 

For a full list of publications please visit Google Scholar.

 

For OpenSource projects see Github.

 

* For PhD opportunities please contact me*

Academic Qualifications: 

Teaching: 

Analogue Electronics (Project) 4

Research Interests: 

  • Imaging and Photonic systems
  • Single Photon Avalanche Diode (SPAD)
  • Optoelectronic instrumentation
  • CMOS chips design
  • FPGA hardware and software
  • Scientific modelling and simulations
  • Hardware-accelerated Computing

Further Information: 

For a full list of publications please visit Google Scholar.