February 8th, 2023. Wednesday. 3PM. TG23 (Town Hall Building) Speaker: Samson Abramsky (University College, London) Title: Contextuality: from quantum mechanics to logic, language and information Abstract: Contextuality is the key non-classical feature of quantum mechanics, which has been used to show various forms of quantum advantage in computation. Conceptually, contextuality arises where we have a […]
January 11, 2023. Wednesday. 3.30PM. TG23 (Town Hall Building) Speaker: Edith Elkind Title: Learning axes from samples: single-peaked preferences and beyond Abstract: We consider a society where voters, who participate in an election, report their preferences over candidates, and these preferences are one-dimensional, i.e., consistent with the candidates being ordered on a left-to-right axis. We […]
December 13, 2022. Tuesday. 3PM. Rescheduled to May 9, 2o23, due to adverse weather conditions. Room: TG23 (Town Hall Building) Speaker: Gunel Jahangirova Title: Mutation Testing of Deep Learning Systems Abstract: Deep Learning (DL) is increasingly adopted to solve complex tasks such as image recognition or autonomous driving. Companies are considering the inclusion of DL components […]
November 16, 2022. Wednesday. 3PM Room: TG23 (Town Hall Building) Speaker: Ranko Lazic Title: Adversarial Reprogramming Revisited Abstract: TL;DR: We show that neural networks with random weights are susceptible to adversarial reprogramming, and that in some settings training the network can cause its adversarial reprogramming to fail. Adversarial reprogramming, introduced by Elsayed, Goodfellow, and Sohl-Dickstein, […]
November 10, 2022. Thursday. 3PM Room: TG23 (Town Hall Building) Speaker: Ghislain Landry Tsafack Title: Making Models Work: How an Optimised ML Lifecycle Can Drive Better ROI Abstract: The potential of Artificial Intelligence (AI) continues to take centre stage in discussions around innovation. Realizing such potential is unfortunately not as straightforward as it may seem. […]
October 12, 2022. Wednesday. 3PM Room: TG23 (Town Hall Building) Speaker: Ilina Stoilkovska Title: Automated Logic-Based Reasoning for Analyzing Prime Video Code Abstract: Developers working in Prime Video are constantly innovating, introducing new features, and improving the performance of the Prime Video application. Each modification of the Prime Video application code is required to pass […]
DeRaffaele, Dr Clifford

Email: C.DeRaffaele @ mdx.ac.ukOffice: TG07 Town Hall Building, Hendon CampusResearch Group: Personal Website About Senior Lecturer Research Interests Biomedical Engineering Embedded Systems Communications Engineering More Information Publications Repository
Highlights: New Journal Publication
New member of department Dr Luca Piras‘s collaborative work, “Android Source Code Vulnerability Detection: A Systematic Review” was recently accepted for the ACM Computing Surveys journal [2021 IF 14.324, ranked 3/109 in Computer Science – Theory & Methods] and can be accessed here.
Chadebecq, Dr François

Email: F.Chadebecq @ mdx.ac.uk Office: TG02 Town Hall Building, Hendon Campus Research Group: MASE Personal Website About Lecturer Module Leader, Research Interests Computer Assisted Interventions Minimally Invasive Surgery Computer Vision 3D Reconstruction < More Information Publications Repository
Piras, Dr Luca

Email: L.Piras @ mdx.ac.ukOffice: TG11 Town Hall Building, Hendon CampusResearch Group: MASE Personal Website About Lecturer Module Leader, Web-Based Mobile App Development Research Interests Software Engineering Privacy & Security Gamification Engineering More Information Publications Repository