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Two New RAEng Research Fellowships Awarded

Dr Adnan Mehonic and Dr Siming Chen

Many congratulations to Dr Adnan Mehonic and Dr Siming Chen who have just been awarded 5 year RAEng Fellowships. The Department was again awarded over 1/4 of all the post-doctoral research Fellowships awarded nationally by RAEng this year, which is a great achievement!

Dr Siming Chen from the department’s Photonics Group

“I am absolutely delighted to know that I have been selected by the Royal Academy of Engineering to be awarded this prestigious research fellowship. The award of this RAEng research fellowship will enable me to independently supervise PhD student and to seek independent funding I need to consolidate and enhance my research. This will allow me to build up my own research group with a unique and distinctive research profile.

In this fellowship, I will be developing the world’s first monolithically integrated silicon photonics optical transmitter. With this achievement, I believe that silicon photonic chips containing dozens or even hundreds of compact monolithic III-V lasers could be built, which expedites the progress toward Tera-scale data transfer in a cost-effective way.”

Professor Sarah Spurgeon, Head of Department and FREng Fellow said:

"I am delighted to congratulate Adnan and Siming on this tremendous achievement and shall look forward to seeing the development of their exciting research projects in the coming years."

Dr Adnan Mehonic from the department’s Electronic Materials and Devices Group

“I am honoured and very excited to be chosen out of the best engineers in the UK, enabling me to further pursue my career in academia and science. The prestige of the Royal Academy of Engineering's research fellowship combined with the excellence of UCL puts me in a great position to establish a leading research group in a fast-growing research community. I want to thank the EEE Department and the Engineering Faculty for their fantastic support through the whole selection process.

The primary goal of the work is to fully exploit the enormous potential of memristive and RRAM technology for extremely power-efficient neuromorphic systems. I believe that my work will accommodate the aim of making computer systems adaptive and self-learning, enabling nascent technologies to pre-process data within the IoT.”