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Prof. Hadi Heidari , James Watt School of Engineering, University of Glasgow, UK

Microelectronics: from human-machine interfacing to quantum computing

19.08.2022 (Friday) , 14:00
Werner-Hartmann-Bau, Room 205/206 // online acccess below , Nöthnitzer Straße 66 , 01187 Dresden

In recent years, an enormous surge of work has been carried out on developing new methods for integrated devices for various kinds of healthcare and industrial applications. Miniaturising sensors and electronics offer the prospect of replacing bulky instruments with easy-to-use platforms ranging from portable to wearable and implantable devices. It would bring down the cost, size, and power by several orders of magnitude. Implementing such sensing and computing microsystems using modern CMOS technology in conjunction with sensors or qubits provides higher performance in terms of area, sensitivity, and signal-to-noise ratio.
The talk will introduce our research at the Microelectronics Lab (www.melabresearch.com) at the University of Glasgow on integrated microelectronic circuits and systems with several different works addressing the development of architectures for the implementation of efficient (i) biomedical wearable and implantable devices for human-machine interfacing; and (ii) cryoelectronics for quantum computing technologies.
For human-machine interfacing, our research activities fall on the brain and muscle sensors. The first part mainly focuses on brain implantable devices and our undertakings in EU projects e.g. HERMES and WiseCure. The next part focuses on the integration of magnetoresistive sensors, e.g. Tunnelling Magnetoresistive (TMR), with CMOS technology providing an opportunity to produce and optimize powerful and low-power devices for low biomagnetic field applications. Such heterogeneous structure combines the CMOS circuitry interface and non-CMOS sensors with higher-performance electronics to detect the pico-Tesla magnetic field. This lecture presents developments and trends in magnetic sensing devices, including sensors and circuit interfaces, focusing on developing various types of magnetic sensors, including Nuclear Magnetic Resonance, magnetoelectric, and TMR technologies.
In addition, this lecture presents our research activities to use cryogenically operated Cryo-CMOS technology to achieve compact, fully scalable systems to control large arrays of qubits in the next generation of quantum computers. Furthermore, the challenges of designing and operating complex circuits and systems at 3K temperature and below will be discussed comprehensively.https://www.gla.ac.uk/schools/engineering/staff/hadiheidari/#biography

Hadi Heidari (PhD, SMIEEE, FHEA, FRSA, MIET) is Professor of Nanoelectronics in the James Watt School of Engineering at the University of Glasgow, United Kingdom. His Microelectronics Lab (meLAB) conducts pioneering research on integrated micro/nanoelectronics design for medical (wearables and implantables) and industrial (quantum computing and ultrasound systems) applications. His group is part of Communications, Sensing and Imaging (CSI) group, Centre for Medical and Industrial Ultrasonic (C-MIU) as well as Centre for Quantum Technology where he leads modern cryoelectronics for quantum computing. In 2021, he founded Neuranics that is building next-generation magnetic sensors for neural interfaces. He holds a Royal Society of Edinburgh Saltire Fellowship.

Prof Heidari's research has been funded circa £4m by major research councils and funding organizations, including the UKRI (EPSRC and Innovate UK), European Commission, the Royal Society, British Council, Scottish Funding Council, and Royal Society of Edinburgh. He is a member of the RSE Young Academy of Scotland (YAS) and a member of the eFutures Steering Group (an EPSRC-funded network representing the UK’s electronic systems academic community). He is a member of EPSRC College and reviews proposals for the Croatian Science Foundation (HRZZ), the Swiss National Science Foundation (SNSF) and the Royal Society of New Zealand. He is a Senior Member of IEEE, Fellow of Higher Education Academy (FHEA) and Fellow of Royal Society of Arts, Manufactures and Commerce (FRSA).

Prof Heidari is a member of the IEEE Sensors Council Member-at-Large (2020-21 & 2022-23) and was IEEE Circuits and Systems Society Board of Governors (2018-20). He is Associate Editor-in-Chief of IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) and serves on the editorial board of several journals, including Elsevier Microelectronics Journal, IEEE Transactions on Biomedical Circuits and Systems, IEEE Access, IEEE Sensors Journal, and Frontiers in Neuroscience. He acts as the General Chair of IEEE ICECS 2020 and 2022 in Glasgow, Technical Program Chair of IEEE PRIME'19, and serves on the organising committee of several conferences, including the UK Circuits and Systems Workshop (UKCAS),  UK-China Emerging Technologies (UCET) Conference, IEEE SENSORS’16 and ’17, NGCAS’17, BioCAS’18, PRIME’15, ISCAS'23 and '25, and the organiser of several special sessions on the IEEE Conferences.

Prof Heidari has authored/co-authored over 220 peer-reviewed publications in top-tier journals or conference proceedings and acts as a reviewer for several journals and conferences. He has been the recipient of several awards, including the 2020 IET Healthcare Technologies Early Career JA Lodge Award, 2019 IEEE Sensors Council Young Professional Award, the Rewards for Excellence prize from the University of Glasgow (2018), Silk Road Award from the Solid-State Circuits Conference (ISSCC’16), Best Paper Award from the IEEE ISCAS’14 conference, Gold Leaf Award from the IEEE PRIME’14 Conference. He has been an external examiner for multiple PhD theses, including students at Imperial College London, University of Southampton, University of Edinburgh (UK), Aarhus University (Denmark), City University Hong Kong (China), UNSW (Australia), CSIC-Universidad de Sevilla (Spain) and others.

(from: https://www.gla.ac.uk/schools/engineering/staff/hadiheidari/#biography)


Online access: https://zoom.us/j/9509649772?pwd=VkQ5K0hoZjg1MUduRjU2TjVPTE5iUT09

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