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Colloquium Events

Colloquium: An Overview of Reconfigurable Intelligent Surfaces-Assisted Wireless Networks

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 […]

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Colloquium Events

Colloquium: Research Advancements in Tangible User Interface Architectures

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 […]

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News

BIOSTEC 2024

We are delighted to announce that Professor Juan Augusto, Head of the Research Group on Development of Intelligent Environments and the Smart Spaces Lab at Middlesex University’s Department of Computer Science, recently delivered a keynote address at the BIOSTEC 2024 conference in Rome, Italy. The keynote, titled “The Role of Sensing for Health and Well-being,” […]

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Colloquium Events

Colloquium: Improving the Dependability of Safety Critical Wireless Sensor Network Scheduling Using Artificial Intelligence

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 […]

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People

Koshkholghi, Dr Ali

Email: A,Koshkholghi @ mdx.ac.ukOffice: T125 Town Hall Building, Hendon Campus Personal Website About Lecturer Module Leader: Research Interests More Information Publications Repository

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People

Oluwagbemi, Dr Olugbenga

Email: O.Oluwagbemi @ mdx.ac.ukOffice: T131 Town Hall Building, Hendon Campus Personal Website About Senior Lecturer Module Leader, CST4080 Research Interests More Information Publications Repository

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People

Nalli, Dr Giacomo

Email: G.Nalli @ mdx.ac.ukOffice: T120 Town Hall Building, Hendon Campus Personal Website About Lecturer Module Leader: Research Interests AI & ML in Education More Information Publications Repository

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Colloquium Events

Colloquium: Voice-enabled fuzzy logic-based HIV diagnostic system with indigenous multilingual interfaces

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 […]

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Colloquium Events

Colloquium: xURLLC in 6G with Medshed RAN

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 […]

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Colloquium Events

Colloquium: Information Processing in the Human Brain: What are Our Models Missing?

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 […]