Zoomposium 19: 6 May 2021
Published: 27 April 2021
Dr MARK MCGILL: ‘Future Mixed Realities: From Productivity to Passenger Experiences’ Dr KAVEH DELFANAZARI: ‘Hybrid Quantum Devices & Quantum Nano-Engineering’ Dr CIARAN MCCREESH: ‘Constraint Optimisation Algorithms You Can Trust’
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Speakers:
Dr Mark McGill, School of Computing Science
‘Future Mixed Realities: From Productivity to Passenger Experiences’
The adoption of Virtual and Augmented Reality headsets in the coming decade will herald a transition from the physical screens of smartphones and laptops to ethereal spatial virtual content. These headsets bring with them advanced sensing capabilities, and will simultaneously transform how we work and live, whilst opening the door to a raft of new concerns regarding ethics and privacy. This talk will discuss my background in Mixed Reality research (from my early PhD research to my current interests as a Lecturer) as well as my core proposal plans (productivity, usability, ethics) and areas where I'd like to establish collaborations, such as MR for accessibility.
Dr Kaveh Delfanazari, James Watt School of Engineering
‘Hybrid Quantum Devices & Quantum Nano-Engineering’
My research broadly concentrated on the development of novel software and hardware architecture (based on hybrid semiconducting, graphene, and superconducting quantum materials) for robust quantum computing, quantum information, quantum communication, and green energy. I lead a team of researchers undertaking multidisciplinary research at the forefront of micro, nano, and quantum science and technology. This includes the design, modelling, fabrication, characterization, and measurements of nanoelectronics and nanophotonic quantum devices such as:
-Superconducting resonators and qubits,
-Josephson junction-based chip-integrated microwave & THz coherent light sources,
-Ultrafast quantum photonics with micro and nano-engineered quantum devices such as antenna arrays, metamaterials, and waveguides.
Dr Ciaran McCreesh, School of Computing Science
‘Constraint Optimisation Algorithms You Can Trust’
My research looks at allocation, scheduling and logistics problems where we have some resources, constraints on how they may be used, and an objective; I would be interested in collaborating with anyone who might have such a problem to solve. Tackling these kinds of problems requires intelligent algorithms, and my recent research involves developing algorithms which output a proof of correctness alongside the solution. These proofs can be stored and audited by a third party. Through this research, I aim to advance algorithm engineering as a discipline, and to start to build public trust in algorithms.
First published: 27 April 2021