Professor John Cartlidge
BSc (Leeds), PhD (Leeds)
Current positions
Professor of Financial Technology
School of Engineering Mathematics and Technology
Contact
Press and media
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Research interests
Projects and supervisions
Research projects
8463 EPSRC EP/Y028392/1 AI For Collective Intelligence SEMT
Principal Investigator
Managing organisational unit
School of Engineering Mathematics and TechnologyDates
01/02/2024 to 31/01/2029
Claritum KTP - 11952
Principal Investigator
Description
To automate a standard industry process that is currently manual. It represents a disruptive sector change delivering lower cost higher value management information for customers.Managing organisational unit
Department of Computer ScienceDates
22/08/2019 to 31/01/2023
Thesis supervisions
Publications
Selected publications
02/04/2012Exploring the "robot phase transition'' in experimental human-algorithmic markets
Exploring the "robot phase transition'' in experimental human-algorithmic markets
Studies of Interaction Between Human Traders and Algorithmic Trading Systems
Studies of Interaction Between Human Traders and Algorithmic Trading Systems
Autonomous virulence adaptation improves coevolutionary optimization
IEEE Transactions on Evolutionary Computation
Estimating Demand for Dynamic Pricing in Electronic Markets
GSTF International Journal on Computing (JoC)
Combating coevolutionary disengagement by reducing parasite virulence
Evolutionary Computation
Recent publications
28/02/2024DGDNN
16th International Conference on Agents and Artificial Intelligence (ICAART)
Neural Stochastic Agent-Based Limit Order Book Simulation with Neural Point Process and Diffusion Probabilistic Model
Intelligent Systems in Accounting, Finance and Management
BlockVerify: Privacy-Preserving Zero-Knowledge Credentials Verification Framework on Ethereum
35th European Modeling and Simulation Symposium, EMSS 2023
Multi-Relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology
Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)