番茄视频 Turing Alumi
Below is a list of Turing Alumni who continue to play an active role with the Turing.
| Name | Research interests |
|---|---|
| Computational social science, urban analytics, behavioural data science, data science for policy | |
| Accelerating the Impact of Artificial Intelligence in UK Government | |
| Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions | |
| Data analytics and computations for water and human environments | |
| Data-driven, simulation informed, high value manufacturing | |
| Data Science for Sustainable Development: Environment, Climate and Health | |
| Black-box optimisation (with particular interests in multi-objective optimisation) and the interface of machine learning and optimisation. | |
| Data analytics for smart urban water infrastructure | |
| Behavioural economics, data science, causal inference, game theory | |
| Digital Humanities; Linked Open Data; Geospatial technologies | |
| Development of optimisation and human-centred AI algorithms for sustainability, engineering and bioinformatics | |
| Data science for accelerometry for health/Data science for clinical trials data on mental health | |
|
AI and computing for structural design and management of civil infrastructure |
|
| Data science for atmospheric and climate model development and comparison to observations | |
| Data Science for Sustainable Development: Environment, Climate and Health | |
| From Field Data to Global Indicators: Towards a Framework for Intelligent Plant Data Linkage | |
| Evolutionary multi-objective optimization, machine learning, multi-criterion decision-making, search-based software engineering, artificial intelligence for scientific discovery | |
| Advanced machine learning for dementia identification and targeted interventions | |
| Translation of Data Science and Operational Research tools to health and social care | |
| Dr Mohsen Mosleh | Social Networks, Online Misinformation, Information bias, Digital Field Experiments |
| Controlling protein molecules to perform biochemical computing: Uniquely addressable protein logic gates/Protein computing | |
| Data-driven mathematical modelling and computer simulation in biology and medicine, image analysis, machine learning in the life sciences, parameter fitting | |
| The social role of data in health artificial intelligence/Soft methodologies for data analytics infrastructure design and development | |
| Machine Learning and Dynamical Systems (Learning in the Model Space), Data Science for Mental Health | |
|
Data science for metabolic and mental health/ Data science for vestibular disorders |
|
| Digital media & climate change. | |
| Development of UQ technology for tuning climate models/Foundations research on how the product of data science/AI can be defensibly interpreted as “uncertainty” and can be used to make optimal decisions | |
| The application of Geographic Information Science and Applied Ontology techniques within the Digital Economy |