Advances in Data Science and Artificial Intelligence Conference 2025
The Advances in Data Science and Artificial Intelligence Conference is Manchester’s annual data science and AI conference and brings together researchers to explore the latest advances and to discuss important topical questions being posed by society around the use of data science and AI. This year we have speakers exploring diverse topics including generative AI, multi-modal AI, natural language processing, health, robotics and more. There will also be an opportunity for participants to contribute short talks, spotlights and posters.
As well as our exciting programme of talks and posters, Liz Scott from Manchester Turing Innovation Catalyst will chair a panel discussion on regional AI innovation, with a panel of AI experts from academia and the tech industry. Watch this space for information about how to contribute talks/posters.
Tickets are now live. Secure your spot today!
Advances in Data Science and Artificial Intelligence Conference 2025 | University of Manchester
Call for submissions – deadline to be considered for a short talk is April 30th.
To be considered for a short talk or poster then please use the following link to submit an extended abstract (submit a 2 page pdf to be considered for a talk, a text abstract is sufficient to be considered for a poster).
https://easychair.org/my/conference?conf=adsai2025
Conference Agenda:
Day 1 - Monday 9 June
Agenda to be announced soon
Day 2 - Tuesday 10 June
Agenda to be announced soon
Conference Speakers:
Dr. Edoardo Ponti (University of Edinburgh)
Dr. Efstathia Soufleri (Archimedes Unit, Athena Research Center, Greece)
Efstathia Soufleri is a postdoctoral fellow with the Archimedes Unit at the Athena Research Center, working under the supervision of Prof. Sophia Ananiadou. She earned her Ph.D. in Electrical and Computer Engineering from Purdue University, USA, specializing in Efficient and Privacy-Preserving Machine Learning Algorithms under the guidance of Prof. Kaushik Roy. Her research has been integral to the Center for the Co-Design of Cognitive Systems (COCOSYS) and the Center for Brain-Inspired Computing (C-BRIC). Her work has been published in top-tier venues, including ICML, NeurIPS, TMLR, and DATE, with several co-authored papers in efficient machine learning, privacy, memorization, and multimodal models. She also holds an M.Sc. in Computer Science from the University of Thessaly, where she developed efficient algorithms for video compression. Her academic journey began with a B.Sc. in Applied Mathematics from the National and Kapodistrian University of Athens, which she completed in just 3.5 years, graduating with honors. In recognition of her academic excellence, Efstathia has received numerous awards, including the Gerondelis Foundation Award for Academic Excellence, the Academic Excellence Scholarship from the Greek State Scholarships Foundation, and the distinction of being named Valedictorian at the University of Thessaly.
Find out more here: Home – Efstathia Soufleri
Chryssa Zerva (The Instituto Superior Técnico / University of Lisbon)
Chrysoula (Chryssa) Zerva is an Assistant Professor for Artificial Intelligence at IST and a researcher at Instituto de Telecomunicações (IT) in Lisbon. She is an ELLIS Scholar and a member of LUMLIS, the Lisbon Unit for Learning & Intelligent Systems. She obtained her PhD in 2019 from the University of Manchester on “Automated Identification of Textual Uncertainty”. She subsequently received the EPSRC Doctoral Prize Fellowship, and in 2021, she joined IT as a postdoc for the DeepSPIN project, working on machine translation, evaluation and uncertainty. She is a co-PI in the Centre for Responsible AI (CRAI), an initiative for trustworthy, sustainable, fair, and transparent AI. She is also part of the UTTER project, with her focus being on uncertainty-aware, adaptable and context-aware models. Her research focuses on elucidating uncertainty in machine learning and especially NLP. She also explores topics related to explainability, fairness and quality estimation across different tasks, especially for multilingual and multimodal setups. Professor Keeley Crockett (Manchester Metropolitan University)
Neil Lawrence (University of Cambridge)
Dr. Nirav Ajmeri (University of Bristol)
Nirav Ajmeri is a Senior Lecturer in Artificial Intelligence at the University of Bristol’s School of Computer Science. He is the deputy director of the UKRI AI for Collective Intelligence Hub and the responsible AI co-lead for the UKRI Centre for Doctoral Training in Practice-Oriented AI. Nirav’s research interests are in AI, intelligent agents and multi-agent systems, emphasising ethics, fairness, and privacy in socio-technical systems of humans, organisations, and software agents. His research seeks to design ethical socio-technical systems and develop socially intelligent computational agents that support their users in decision making considering societal norms and human values and preferences.
Find out more here: https://niravajmeri.github.io [niravajmeri.github.io
Rika Antonova (University of Cambridge)
Yukun Lai (Cardiff University)
Conference Spotlight Talks:
Spotlight Talks
The Institute for Data Science and AI delivers the Data Science and Artificial Intelligence theme within The University of Manchester’s Digital Futures platform.
