April 24, 2024. Wednesday. 3PM. Room T23. Speaker: Halil Yetgin (Middlesex University, London) Abstract: As a promising technology for the upcoming 6G networks, reconfigurable intelligent surfaces (RIS) have garnered significant interest for their ability to boost network capacity, extend coverage, enhance efficiency and improve security, while minimising energy consumption and reducing hardware costs. This presentation […]
Author: Can Baskent
March 19, 2024. Tuesday. 1PM. Room T23 Title: Research Advancements in Tangible User Interface Architectures Speaker: Clifford de Raffaele (Middlesex University, London) Abstract: The colloquium presentation shall seek to present and discuss the research activities undertaken over the past years towards the development of Tangible User Interface (TUI) architectures for enhancing the learning experience of abstract […]
January 16, 2024. Tuesday. 3PM. Room TG23 (Town Hall) Speaker: Issam Al-Nader (Middlesex) Title Improving the Dependability of Safety Critical Wireless Sensor Network Scheduling Using Artificial Intelligence Abstract To ensure optimal functionality and adherence to specified requirements, a Wireless Sensor Network (WSN) must prioritise the validation of its three fundamental attributes: Connectivity, Coverage, and Network Lifetime. Existing literature […]
November 14, 2023. Tuesday, 3PM. TG23 (Town Hall). Speaker: Ali Khoshkholghi (Middlesex University, London) Title: xURLLC in 6G with Medshed RAN Abstract: 5G Ultra-Reliable Low Latency Communications Technology (URLLC) will not be able to provide extremely reliable low latency services to the complex networks in 6G. Moreover, URLLC that began with 5G has to be […]
October 12, 2023. Thursday. 3PM. TG23 (Town Hall). Speaker: Roman Belavkin (Middlesex University, London) Title: Information Processing in the Human Brain: What are Our Models Missing? Abstract: Artificial Intelligence (AI) has been evolving using two approaches: Symbolic and Sub-symbolic (connectionist). Artificial Neural Networks (ANNs) are examples of the latter, and recent successes of Deep Learning […]
September 15, 2023. Friday. 3PM. Room: TG23 (Town Hall Building) Speaker: Takashi Matsuoka (Suwa University of Science, Japan) Title: Compound States via Quantum Conditionality and Quantum Mutual Entropy Abstract: It will be shown that quantum state on composite system may be represented by a composition of two types of complete positive maps, one is called […]
May 9, 2o23. 3PM (Rescheduled from November 2022) 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 in production systems, but one of […]
March 9th, 2023. Thursday. 3PM. Room: TG23 (Town Hall Building) Speaker: Murdoch J. Gabbay (Heriot-Watt University) Title: A broadly Marxian analysis of blockchain and cryptocurrencies Abstract: Bitcoin sought to transfer the means of production of money from the state to individuals; Karl Marx would probably have been delighted. It hasn’t worked out quite how the […]
February 8th, 2023. Wednesday. 3PM. Postponed due to illness. New date to be announced. 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 […]
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 […]