Middlesex Computer Science Colloquium is the monthly departmental computer science colloquium of Middlesex University, London.
It is organised by Can Baskent.
- Colloquium: AI for Science: From Accelerating Materials Discovery to Stress-Testing Post-Quantum Cryptography
- Colloquium: Addressing Racial Bias in Law Enforcement: An Interdisciplinary Approach to Developing Ethical AI Systems for Objective Threat Assessment
- Colloquium: Optimal Transport for Sea Ice Dynamics: Challenges and Solutions in Motion Estimation
- Colloquium: Applying Machine Learning to Investigate Malaria Risk Factors and Predict Malaria incidence in Southwest Nigeria
- Colloquium: AI-based analysis of ground water contamination in the Pala river basin
- Colloquium: Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development
- Colloquium: New results on lattice reduction algorithms
- Colloquium: How novices program in Java
- Colloquium: Constructive and Intermediate Fuzzy Logics
- Colloquium: An Overview of Reconfigurable Intelligent Surfaces-Assisted Wireless Networks
- Colloquium: Research Advancements in Tangible User Interface Architectures
- Colloquium: Improving the Dependability of Safety Critical Wireless Sensor Network Scheduling Using Artificial Intelligence
- Colloquium: Voice-enabled fuzzy logic-based HIV diagnostic system with indigenous multilingual interfaces
- Colloquium: xURLLC in 6G with Medshed RAN
- Colloquium: Information Processing in the Human Brain: What are Our Models Missing?
- Colloquium: Compound States via Quantum Conditionality and Quantum Mutual Entropy
- Colloquium: Mutation Testing of Deep Learning Systems
- Colloquium: A broadly Marxian analysis of blockchain and cryptocurrencies
- Colloquium: Contextuality: from quantum mechanics to logic, language and information
- Colloquium: Learning axes from samples: single-peaked preferences and beyond