QAMSS Advanced Technology Lectures

The QAMSS Advanced Technology Lectures are a series of high-profile talks covering topics such as fundamentals, technologies and applications of graphene, related layered materials and hybrid systems, nanofabrication, physics, photonics and renewable energy.

The lectures take place on Fridays at 4 pm in the Cambridge Graphene Centre Seminar Room, Electrical Engineering Division, 9 JJ Thomson Avenue. Everybody is welcome and further details can be found in the Events listings. Contact the QAMSS Coordinator (coordinator@qamss.cam.ac.uk) if you would like to be informed of our lectures by weekly emails.

Lectures for the Michaelmas Term 2026

9 October 2026 - Prof. Matteo Palma, Queen Mary University of London
DNA-Programmable Nanoscale Heterostructures for Optoelectronics and Biosensing
16 October 2026 - Dr Saransh Sharma, University of Cambridge
Closed-Loop Bioelectronics: From Sensing to Therapy
23 October 2026 - Prof. Seunguk Song, Sungkyunkwan University (SKKU), Korea
Programming Layered Materials With Ferroelectrics
30 October 2026 - Dr Francesca Parmigiani, Microsoft Research Cambridge
Analog Optical Computing for AI
6 November 2026 - Prof. Val Zwiller, KTH Royal Institute of Technology, Founder and CEO of Quantum Scopes AB
Generation, Manipulation and Detection of Single Photons
13 November 2026 - Prof. Alexei Lapkin, University of Cambridge
Materials Development in Digital Labs
20 November 2026 - Prof. Ferdinando Auricchio, University of Pavia
Additive Manufacturing: Design, Production, Modelling
27 November 2026 - Dr Akshay Deshmukh, University of Cambridge
Designing Sustainable Separations for the Clean Energy Transition
4 December 2026 - Dr Mindaugas Lukosius, Leibniz Institute for High Performance Microelectronics
Integrated Graphene Photonics
11 December 2026 - Prof. Dimitris Tsoukalas, National Technical University of Athens
Resistive Switching Devices for Neuromorphic Computing
18 December 2026 - Prof. Themis Prodromakis, University of Edinburgh
Driving Sustainable Electronics Through Bio-Inspired Hardware and AI-Enabled Design