- WHO WE ARE -
We're academics who develop and use AI.
Our Team
Our team comprises academics from the University of Birmingham, globally recognised for top-tier computer science research. We work at the forefront of AI, developing cutting-edge approaches across areas such as forecasting, computer vision, large language models, and cybersecurity to solve industrial challenges.
As experienced educators and Fellows of the Higher Education Academy, we regularly deliver lectures and professional workshops on AI topics. Our academic depth, combined with practical industry engagement, allows us to translate complex research into clear, accessible, and business-relevant insight.
What Make Us Different
We are experienced academic experts and educators in AI, with a strong passion for both technology and education
We operate at the leading edge of AI research and innovation
Our sessions are designed for AI beginners - no coding or technical background
We create a learning environment that is intellectually stimulating and engaging, encouraging curiosity, fresh thinking, and new perspectives
We provide follow-up dedicated support and opportunities for continued collaboration beyond the workshop
Our programme fits in your busy schedule
Selected Speakers
Position: Associate Professor at School of Computer Science, UoB
Expertise: Machine learning and forecasting
Teaching: Artificial intelligence; Software engineering
Collaboration with industry: digital twin and energy forecasting systems working with Siemens; time series forecasting and sports data analysis working with Nottingham Forest football club.
Position: Assistant Professor at School of Computer Science, UoB; Visiting Researcher, University of Cambridge
Expertise: Machine learning for sensing data; data privacy; embedded devices; AI for software engineering
Teaching: Machine learning for embedded systems; Software engineering
Collaboration with industry: Nokia Bell Labs; Samsung AI Centre; AdviceRobo (on Finance)
* Click the names for detailed research records of the speakers
Position: Associate Professor at School of Computer Science, UoB
Expertise: AI, Machine Learning, Computer Vision, Multi-modal, Generative Models
Teaching: Computer Vision & Imaging, Programming for Data Science
Collaboration with industry: Amazon, Meta, and SMEs, through projects supported by the UK research councils and companies. Some outcomes have been published at the top international conferences, or used in real-world products.
Position: Associate Professor at School of Computer Science, UoB
Expertise: AI methods for various complex optimisation problems, including multi-objective, black-box, expensive, uncertain, and combinatorial optimisation problems.
Teaching: Algorithms for data science; Artificial intelligence
Collaboration with industry: Scheduling optimisation for heat energy reuse; complex chemical product generation
Position: Professor, Head of School of Computer Science, UoB
Expertise: Dependable AI systems, AI safety and human aspects of reliable systems
Teaching: Middleware, dependable systems and network security
Collaboration with industry: leading UKFin+, the UKRI-funded network in Financial Services
Position: Assistant Professor at School of Computer Science, UoB
Expertise: AI Security, Safety & Responsible AI; Dependability, Security and Safety Interactions; Security & Formal Methods
Teaching: Forensics, Malware and Penetration Testing; Security and Networks; Secure Programming
Collaboration with industry: Founder/Director of two startups in AI safety and deep tech; security consulting across multiple sectors; invited security expert for IEEE 802.11 WG (WIFI), IETF Authentication in Constrained Environments WG, European Directors of Roads (PKI Expert)
Position: Assistant Professor at School of Computer Science, UoB; Visiting researcher at Oxford University's Institute for Ethics in AI (2026)
Expertise: Responsible and legally compliant data management in AI; findable, accessible, interoperable, reusable (FAIR) Data; machine readable GDPR-compliant data sharing policies; Human factors in data sharing
Teaching: Databases and web programming
Collaboration with industry: GDPR-compliant data sharing for mobility and insurance; FAIR digital product passport (DPP) infrastructures; technical advisor for a project with BSI on future flight related to regulation and legislation implementation
Dr. Jizheng Wan
Position: Assistant Professor at School of Computer Science, UoB
Expertise: Natural Language Processing (NLP), Large Language Models (LLMs), and applied AI systems
Teaching: Data Structures, Algorithms and Databases; Computer Systems; Object-oriented Programming; Team Project for AI
Collaboration with industry: text understanding, misinformation detection, knowledge representation, and AI safety in operational settings
Position: Assistant Professor at School of Computer Science, UoB
Expertise: Natural Language Processing (NLP), Large Language Models (LLMs), and Applied AI systems
Teaching: NLP; Object-oriented Programming with Python; Intelligent Interactive Systems
Collaboration with industry: summarisation of large-scale financial and regulatory documents, mental health analysis, fact-checking, and information extraction from extensive tender and policy documents
Dr. Yue Feng
Position: Assistant Professor at School of Computer Science, UoB
Expertise: Natural Language Processing (NLP), Large Language Models (LLMs), and information retrieval
Teaching: NLP; Current Topics in AI & Data Science
Collaboration with industry: large language model–powered AI agents; factualness, faithfulness, and trustworthiness of large language models; multimodal foundation models
Position: Associate Professor at School of Computer Science, UoB; Visiting Academic Researcher at Microsoft
Expertise: Computer Vision; Robotics and Human–Robot Interaction (HRI); Human-Centred AI, Multimodal Perception; Learning-based Robot Dexterity; Vision-based Manipulation
Teaching: Computer Vision & Imaging; Artificial Intelligence; Robotics and Intelligent Systems
Collaboration with industry: Currently working at Microsoft, collaborating with Google and NVIDIA through joint research projects and publications. In parallel, has led and participated in funded research projects with major industrial partners (Samsung and Hyundai Motor Group) and SMEs, delivering applied AI solutions and long-term research collaboration.
Position: Assistant Professor at School of Computer Science, UoB
Expertise: Trustworthy Artificial Intelligence (AI), Large Language Models (LLMs), Distributed/Edge Machine Learning (ML) Systems, and Networks
Teaching: Artificial Intelligence I; Computer Systems
Collaboration with industry: Trustworthiness of large language models and uncertainty estimation with Amazon; privacy-preserving machine learning and federated learning with FedML/ TensorOpera
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