School of Digital and Physical Sciences - Uni of Hull

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School of Digital and Physical Sciences - Uni of Hull AI is rapidly changing the world. And beyond our planet lie more unanswered questions.

The School of Digital and Physical Sciences educates the scientists of tomorrow. Our research-led teaching covers Artificial Intelligence, Computer Sciences, Mathematics and Data Science, and Physics and Astrophysics.

16/10/2026

Just one more day to go before the end of this year's and fair in Hull. The Cityty of Hull is still so colourful with the Hull fair 2026 edition.

Looking to take the next big step in your career? Applications are currently OPEN for our postgraduate programmes at the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM)!

Our £4.5 million DAIM facility is fully equipped and built for high-capacity learning:

💻 250 high-spec PCs designed for advanced coding, AI development, and data analysis.

⚡ Direct access to Viper, one of the most powerful university supercomputers in the UK.

💡 Industry-aligned learning in a collaborative, cutting-edge environment.
Explore our programmes and submit your application today:

🔹 MSc Artificial Intelligence for Business
https://lnkd.in/g29dy8Jm

🔹 MSc Artificial Intelligence and Data Science
https://lnkd.in/eXYER4BM

🔹 MSc Artificial Intelligence for Engineering
https://lnkd.in/eVxT4fNA

MSc Artificial Intelligence for Healthcare
https://lnkd.in/eKbNqb7S
..and many more www.hull.ac.uk

Our state-of-the-art facilities are waiting for you. Shape your future in AI and Data Science with the University of Hull. 🚀

Kevin Pimbblet Adil Khan

🌌 Save the Date: E.A. Milne Centre Astrophysics Workshop 2027!We are excited to announce that the E.A. Milne Centre for ...
14/10/2026

🌌 Save the Date: E.A. Milne Centre Astrophysics Workshop 2027!

We are excited to announce that the E.A. Milne Centre for Astrophysics at the University of Hull will be hosting a 2-day workshop in January 2027, bringing together researchers across stellar, galactic, and extragalactic astrophysics!

We warmly invite colleagues, researchers, and postgraduate students to join us in Hull for two days of engaging talks, collaboration, and discussion.

🗓️ Date: January 2027

📍 Location: E.A. Milne Centre for Astrophysics, University of Hull

🔗 Details & Registration: https://lnkd.in/e-jH2j45

If you have any questions, please reach out to us at [email protected].

Feel free to share this with your network and research groups—we look forward to welcoming you to Hull! 🚀✨

Image: Richings

Huge congratulations to our student, Abigail Jatto, on winning the Green STEM Spotlight Award 2026!Abigail was recognise...
14/10/2026

Huge congratulations to our student, Abigail Jatto, on winning the Green STEM Spotlight Award 2026!

Abigail was recognised at the Green STEM Symposium 2026 for her outstanding paper presentation, "Navigating the Uncanny: Aspect-Based Sentiment Analysis of Consumer Discomfort in AI-Generated Advertising".

Her research uses Aspect-Based Sentiment Analysis (ABSA) to understand consumer reactions to AI-generated content exploring crucial dynamics of trust, communication, and real-world impact in artificial intelligence.

Special thanks to her supervisor, Dr. Julius Sechang Mboli, PhD, for his guidance throughout this research journey, as well as the GREEN STEM EDUCATIONAL AND CHARITABLE FOUNDATION and Dr Perpetual Eze-Idehen SFHEA for hosting a fantastic platform for emerging researchers.

We are incredibly proud to see our students leading meaningful conversations around the future of AI and data science. Please join us in celebrating Abigail’s success! 👏🌱🤖📊

Explore our programmes and submit your application today:

🔹 MSc Artificial Intelligence for Business

🔹 MSc Artificial Intelligence and Data Science

🔹 MSc Artificial Intelligence for Engineering

MSc Artificial Intelligence for Healthcare



Exciting New Publication from Centre DAIM, University of Hull!We are thrilled to share our latest research paper, "EgoTo...
14/10/2026

Exciting New Publication from Centre DAIM, University of Hull!

We are thrilled to share our latest research paper, "EgoTokens: Egocentric 3D human reconstruction and language-guided shape editing via quantized position tokens in vision-language models," recently published in Machine Learning with Applications.

What is the challenge? Reconstructing 3D human bodies from egocentric images (like wearable cameras) is notoriously difficult due to severe environmental/self-occlusions, downward viewpoints, and scale ambiguities. Existing regression networks often struggle without high-dimensional structural guidance.

Our Solution: EgoTokens In this work, we introduce EgoTokens, a novel framework that frames egocentric SMPL-X parameter estimation as a discrete sequence-generation task using Vision-Language Models (VLMs):

Quantized Position Tokens: We quantize 122 SMPL-X body parameters into 1,000 bins, extending the VLM vocabulary.

Distance-Aware Objective: We combine standard cross-entropy with an L2 regression loss to ensure the model understands the numerical closeness of prediction bins-overcoming a major limitation of traditional VLMs.

Language-Instructed Shape Editing: We extended the EgoBody dataset from 150k to 1.3 million instruction-image-parameter samples, enabling precise semantic shape editing using text instructions without needing extra region segmentation.

Key Results:

Achieved impressive performance on the EgoBody dataset using fine-tuned InternVL2-8B (PA-MPJPE: 29.49 mm, PA-MPVPE: 28.20 mm) and Qwen2.5-VL-7B (PA-MPJPE: 33.43 mm), outperforming current specialized regression and transformer-based baselines.

Demonstrated strong zero-shot generalization from egocentric to third-person views on the EHF dataset.

Proud of our team Gulraiz Khan, Maneeha Rani, Waqas Ahmed, Kevin Pimbblet, and Kenneth Wertheim for pushing the boundaries of 3D human reconstruction and VLM capabilities!

📖 Read the Open Access paper here: https://doi.org/10.1016/j.mlwa.2026.101042

Everton Football Club is in town today to face off against Hull City at the MKM Stadium! ⚽Did you know that as a student...
11/10/2026

Everton Football Club is in town today to face off against Hull City at the MKM Stadium! ⚽

Did you know that as a student at the University of Hull, you can watch your favourite Premier League teams live right here? With Hull City's impressive form this season—including their thrilling win over Manchester United—the city is absolutely buzzing.

Add in the sights and lights of the historic Hull Fair 🎡, and Hull is more vibrant than ever!

Wherever you are in the world, you can study in a world-class environment and experience top-tier sport and culture right on your doorstep. 🌍

Ready to take the next big step in your career? Applications are officially OPEN for our postgraduate programmes at the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM)!

Our £4.5 million DAIM facility is built for high-capacity, cutting-edge learning:
💻 250 high-spec PCs designed for advanced coding, AI development, and data analysis.
⚡ Direct access to Viper, one of the most powerful university supercomputers in the UK.
💡 Industry-aligned learning in a collaborative, tech-driven environment.

Explore our programmes and shape your future in AI and Data Science. Apply today:

🔹 MSc Artificial Intelligence for Business
https://lnkd.in/g29dy8Jm

🔹 MSc Artificial Intelligence and Data Science
https://lnkd.in/eXYER4BM

🔹 MSc Artificial Intelligence for Engineering
https://lnkd.in/eVxT4fNA
..and many more!

Pimbblet

🎡 Hull is so colorful once again!As Hull Fair, one of Europe’s largest travelling fairs brings incredible energy and exc...
10/10/2026

🎡 Hull is so colorful once again!

As Hull Fair, one of Europe’s largest travelling fairs brings incredible energy and excitement to the city, it’s a great reminder of how vibrant life in Hull can be!

Looking to take the next big step in your career? Applications are currently OPEN for our postgraduate programmes at the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM)!

Our £4.5 million DAIM facility is fully equipped and built for high-capacity learning:

💻 250 high-spec PCs designed for advanced coding, AI development, and data analysis.

⚡ Direct access to Viper, one of the most powerful university supercomputers in the UK.

💡 Industry-aligned learning in a collaborative, cutting-edge environment.

Explore our programmes and submit your application today:

🔹 MSc Artificial Intelligence for Business

https://lnkd.in/g29dy8Jm

🔹 MSc Artificial Intelligence and Data Science

https://lnkd.in/eXYER4BM

🔹 MSc Artificial Intelligence for Engineering

https://lnkd.in/eVxT4fNA
..and many more!

Our state-of-the-art facilities are waiting for you. Shape your future in AI and Data Science with the University of Hull. 🚀

Kevin Pimbblet

Incredibly proud of the diverse, cross-disciplinary research presented by the Centre of Excellence for Data Science, AI ...
03/10/2026

Incredibly proud of the diverse, cross-disciplinary research presented by the Centre of Excellence for Data Science, AI and Modelling (DAIM) at the University of Hull during the Fourth UK AI Conference in Nottingham.

Led by Dr. Julius Sechang Mboli PhD, SFHEA FHEA, COREN, MNSE, MBA, MSc and Eva Maria Sousa , our researchers showcased how AI, machine learning, and deep learning are tackling complex real-world challenges across medical sciences, environmental sustainability, socio-economics, and AI ethics.

Key research presented this week includes:

Healthcare & Medical Analytics:

Multiclass Classification of Pharmacologically Treated Platelets Using Convolutional Neural Networks: Distinguishing Zinc, Milrinone, and Combination Treatment Effects.

Automated Binary Classification of Chemically Treated Platelets Using Deep Learning: A Transfer Learning Approach (featuring collaboration with the Hull York Medical School).

Automated Morphological Analysis of Platelets in Microscopy Images Using K-Means Clustering Under Varying Experimental and Environmental Conditions.

Public Health & Society:

Machine Learning Analysis of Economic Vulnerability and Employment Outcomes Among Adults Living with HIV in South Africa.

Exploring Perinatal Mental Health Experiences Among UK Migrant Women Using Natural Language Processing.

Sustainability & Environment:

Towards Explainable and Generalizable Waste Classification: A Two-Stage CNN Approach on Hybrid Data.

Time Series Analysis of Salmonid Harvest in Lake Lugano Using Machine Learning.

AI Ethics & Consumer Behaviour:

Separating the Art from the Algorithm: Detecting Moral Decoupling in Consumer Discourse About Generative AI.

A huge congratulations to all the authors and presenters for driving such impactful innovation forward and representing DAIM on the national stage!

Elizabeth Ayeni Sankarasubramanian Sivasylam Onuchukwu Joseph Emmanuel Smith Kofi Mensah Itunu D. Ijila, MBCS Cynthia Nwafor

The campus is officially buzzing again! 🎓✨Yesterday, the team at the School of Digital and Physical Sciences (DPS) came ...
22/09/2026

The campus is officially buzzing again! 🎓✨

Yesterday, the team at the School of Digital and Physical Sciences (DPS) came together to kick off the new academic year and welcome our incredible new and returning students back to the University of Hull campus.

Whether you are stepping into a lab for the very first time or returning to finish your academic journey, we are thrilled to have you here.

As we jump into Welcome Week, a few quick reminders to help you settle in:

📅 Welcome Week (21–25 September): This week is all about academic inductions, meeting your personal supervisors, and exploring the campus.

🤝 Freshers 2026: Be sure to check out the amazing events hosted by the Hull University Union to connect with fellow students.

🚀 Teaching Begins: Formal lectures and seminars officially start on Monday 28 September.

To our students: work hard, collaborate, and make the most of every opportunity this trimester. We are here to support you every single step of the way.

Let's make this year unforgettable! 💡💻🔬

👉 New to campus? Download the official University of Hull Campus Map to find your way around.

28/08/2026

Incident investigation Agent by Team Nexus at the recently concluded DAIM Agentic AI Summer Bootcamp.

Facilitators

Lead

Dr. Julius Sechang Mboli PhD, SFHEA FHEA, COREN, MNSE, MBA, MSc

PGRs/GTAs

Oyinkansola Onwuchekwa

Macaulay Gowan

Franky George

Maneeha Rani

Gbenga Adebiyi

Parvin Ghaffarzadeh, AFHEA

University of Hull



DAIM University of Hull University of Hull

Address

Cottingham Road
Kingston Upon Hull
HU67RX

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