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colloquium

Middlesex University Computer Science Colloquium

  Middlesex Computer Science Colloquium is the monthly departmental computer science colloquium of Middlesex University, London. It is organised by Can Baskent.

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colloquium event

Colloquium: Bio-inspired Neural Architecture Search

20 June 2022, Monday. 3PM. London Time. Online over Zoom. Title Bio-inspired Neural Architecture Search Speaker Wei Pang, Heriot-Watt University Abstract In this talk I will present the work of our lab over the last three years on bio-inspired Neural Architecture Search (NAS). I will first present DeepSwarm, an NAS system that makes use of […]

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Colloquium:  Fair Division: A Theoretical and a Practical Perspective

16 May 2022, Monday. 3PM. London Time. Online over Zoom. Title: Fair Division: A theoretical and a practical perspective Speaker: Maria Kyropoulou, University of Essex Abstract: In this talk I will present two different perspectives in fair division research. A common underlying concept is that of envy-freeness, a natural and widely adopted notion of fairness. […]

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Colloquium: Targeted Ads, Data Openness, Digital Power: Reasons to be Cheerful

25 April 2022, Monday. 3PM. London Time. Online over Zoom Title: Targeted Ads, Data Openness, Digital Power: Reasons to be Cheerful” Speaker: Sam Gilbert, University of Cambridge Abstract Since the Cambridge Analytica scandal, public discussion of data and digital technology has focused on the threats big tech companies’ business models pose to individuals’ rights and freedoms. However, […]

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Colloquium: The Complexity of Gradient Descent

21 March 2022, Monday. 3PM. London Time. Online over Zoom Title: The Complexity of Gradient Descent Speaker: Rahul Savani, University of Liverpool Abstract PPAD and PLS are successful classes that each capture the complexity of important game-theoretic problems: finding a mixed Nash equilibrium in a bimatrix game is PPAD-complete; and  finding a pure Nash equilibrium in a […]

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Colloquium: Representing Knowledge and Thought: Insights from the Design of Radical Representational Systems

21 February 2022, Monday. 3PM. London Time. Online over Zoom Title Representing Knowledge and Thought: Insights from the Design of Radical Representational Systems Speaker Peter Cheng, University of Sussex Abstract It is well established in Cognitive Science that the representational systems we use on problems substantially impacts our ease of finding solutions.  To maximise the […]

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Colloquium: Goal-Directed Analysis for TypeScript

17 January 2022. Monday. 3PM. London Time. Online over Zoom. Title Goal-Directed Analysis for TypeScript Speaker Daniel Schoepe, Applied Scientist, Amazon Prime Video Abstract TypeScript is a typed version of JavaScript widely used across Amazon, but poses challenges for static analysis: The language supports many intricate features used in practice, such as callbacks and higher-order functions, dynamic field […]

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Colloquium: Refractive Two-View Reconstruction for Underwater 3D Vision

13 December 2021. Monday. 3PM. London Time. Hybrid (zoom and face-to-face). Room Colln CG15. Fully Online over Zoom because of omicron. Title Refractive Two-View Reconstruction for Underwater 3D Vision Speaker François Chadabecq, Department of Computer Science, Middlesex University, London Abstract Recovering 3D geometry from cameras in underwater applications involves the Refractive Structure-from-Motion problem where the non-linear […]

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Colloquium: Explainable AI and Its Application to Medical Diagnosis

15 November 2021. Monday. 3PM. London Time. Hybrid (zoom and face-to-face). Room Colln CG15. Title Explainable AI and Its Application to Medical Diagnosis Speaker Xiaohong Gao, Department of Computer Science, Middlesex University, London Abstract While recent advances in AI, in particular deep learning (DL) technology, have achieved state of the art results in many fields, […]

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Colloquium: Nowcasting Gentrification Using Airbnb Data

18 October 2021. Monday. 3PM. London Time. Hybrid (zoom and face-to-face). Room Colln CG15. Title Nowcasting Gentrification Using Airbnb Data Speaker Giovanni Quattrone, Department of Computer Science, Middlesex University, London Abstract Census data fails to measure neighbourhood change in real-time since it is usually updated every ten years. This work shows that Airbnb data can […]