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MPIE 2025 Conference

Maths Physics Informatics Engineering

đź“… 2nd September 2025 | 09:00 - 17:30

📍 University of Sussex, Brighton, UK

About

Welcome to the official website of the MPIE 2025 Conference, an exciting interdisciplinary gathering at the University of Sussex. This event aims to unite researchers from the fields of mathematics, physics, informatics, and engineering, fostering collaboration and innovation at the intersection of these dynamic disciplines. Join us as we explore cutting-edge developments and share insights that push the boundaries of knowledge and technology. The poster exhibition is open to keen undergraduate finalists, masters, PhD and above. This is a great way for research groups to show off what they are doing, or individuals. We encourage bringing demos along if possible.

Funding bodies: Be.AI Leverhulme Trust, Sussex Centre for Quantum Technologies, School of Engineering and Informatics

MPIE conference, 2nd September 2025, 09:00 - 17:30

Call for Posters and Talks

We are excited to announce our call for posters and talks for the upcoming MPIE 2025 conference at the University of Sussex.

Poster Session:
The poster session provides an excellent opportunity for students and researchers to present early-stage research and receive valuable feedback from the community. We strongly encourage research groups to showcase their work and promote their research to the broader scientific community at Sussex.

Talk Submissions:
We also welcome submissions for short talks (15-20 minutes) on current research projects, recent findings, or innovative methodologies across the MPIE disciplines.

Who Can Apply:
Open to undergraduate finalists, masters students, PhD students, postdocs, and faculty members. We encourage bringing demos along if possible.

Submission Guidelines:
• Posters should be A0 size maximum
• Talk proposals should include a 300-word abstract
• Submission deadline: 8th August 2025

Academic Lead

Professor Andy Philippedes Professor Matthias Keller Professor Thomas Nowotny
Biorobotics, biomimetic navigation, active AI Atomic, molecular and optical Physics, quantum technology Olfaction, biomimetic AI, hybrid systems

Organising committee

Committee

Laura Blackburn Luca Trautmann Paula Seidler
Quantum physics, Ion trapping, Spectroscopy Inverse Problems, Biomedical Imaging, Uncertainty Quantification Explainable Perceptual Metrics, Structured Uncertainty, Learning Objectives in ML

Committee Advisors

Dexter Shepherd Amber Shepherd
Biorobotics, evolutionary robotics, embodied AI Quantum physics, optical physics, ion trapping

be.AI is directed by Profs Thomas Nowotny, Andrew Philippides (both in the AI research group in Informatics) and Paul Graham (Neurosciences Division in Life Sciences), supported by an Academic Board, whose membership currently comprises Prof Luc Berthouze, Dr Chris Buckley, Dr Julie Weeds (all in the AI research group in Informatics) Prof Daniel Roggen (Engineering), Prof Thomas Baden (Life Sciences) and Prof Andy Clark (Philosophy).
The Advisory Board includes Prof Margaret Boden, OBE ScDFBA, co-founder of COGS, as the honorary Head of be.AI, Prof Cecilia Laschi (Pisa, Italy), Prof Martin Nawrot (Universität Köln), and Prof James Marshall (Opteran Technologies and University of Sheffield).

Speaker Title
09:00 Welcome
09:10 Neil de Beaudrap --
9:45 Parsa Rahimi Hybrid Yb/Ba ion trap quantum computing with laser free coherent control
10:00 Mateusz Kupper Quantum Error Correction
10:15 Xavier Calmet Black Holes in the Quantum Realm
10:30 Coffee break
10:45 Panel Discussion MPIE for Healthcare Applications
12:00 Lunch and poster break
13:00 Aniruddha Girish Aramanekoppa Probing the Stellar Populations of Distant Galaxies using the Balmer Break: Validating Galaxy Formation Models
13:15 Charlotte Robinson Artificial Intelligence and Animal Behaviour
13:30 Nay Newman Ant Visual Navigation
13:45 Renhui Ying Applying computer vision tools in monitoring outdoor animal activities
14:00 Trevor Hewitt The geometry of visual hallucinations
14:15 Maryam Seraj Developemnt of Haptic Interfaces for Medical Robots
14:30 Coffee and Poster Session
15:30 Jimena Berni Analysis of neuronal activity with graph method
15:45 Giuseppe Castiglione Deep Learning Theory for Learning Dynamics
16:00 Enrico Caprioglio Synergistic information and network science
16:15 Yidan Xu Continuous Assessment of Fear of Falling in Parkinson's Disease Using Wearable Sensors and Machine Learning
16:30 Panel Discussion interdisciplinary: Improving Dialogue and Collaboration
17:15 Closing address and prizes

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