March 20, 2025. Thursday. 4PM. Room TG23. Speaker: Madeleine Waller (King’s College, London) Title: Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development Abstract: As algorithmic decision-making systems (ADMS) are increasingly deployed across various sectors, the importance of research on fairness in Artificial Intelligence (AI) continues to grow. In this talk, we discuss the practical limitations and […]
Category: Colloquium
February 25, 2025, Tuesday. 4PM. Room TG23. Speaker: Sanjay Bhattacherjee (University of Kent) Title: New results on lattice reduction algorithms Abstract: A lattice is a discrete subgroup of ℝ^m — a set of all integer linear combinations of linearly independent vectors, called its basis. A lattice has infinitely many bases. A lattice reduction algorithm transforms an […]
Speaker: Neil Brown (King’s College London) November 19, 2024, Tuesday. 4PM. Room TG23. Title: How novices program in Java Abstract: In order to improve the teaching of programming, it is important to understand how novices program. Our research group makes an IDE for novice Java programmers called BlueJ. Ten years ago we initiated a project named […]
Colloquium: Constructive and Intermediate Fuzzy Logics Andrew Lewis-Smith October 25th, 2024, Friday. 4PM. Room TG23. Title: Constructive and Intermediate Fuzzy Logics Abstract: We present recent work developing relational semantics for Fuzzy / substructural logics. This work takes algebraic representation results of residuated lattices and extracts a generalisation of Kripke’s Famous semantics for Intuitionistic logic and […]
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 […]
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 […]
December 14, 2023. Thursday, 3PM. TG23 (Town Hall) Speaker: Olugbenga Oluwagbemi (Middlesex) Title: Voice-enabled fuzzy logic-based HIV diagnostic system with indigenous multilingual interfaces Abstract: HIV still constitutes a major public health problem globally. According to the World Health Organization (WHO), in year 2022, 630 000 [480 000–880 000] people died from HIV-related causes and 1.3 […]
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 […]