Join us for an enlightening event that explores the cutting-edge advancements in Data Science and Artificial Intelligence (AI).
Hosted by the University of Liverpool, this gathering is part of the esteemed Turing University Network.
Begin your day by networking with like-minded individuals, before diving into a showcase of groundbreaking AI projects and participate in a dynamic roundtable discussion.
This is a unique opportunity to connect with thought leaders, gain insights into the latest innovations, and understand how these technologies are shaping the future.
Don’t miss the chance to be at the forefront of AI and Data Science!
📅 Date: Tuesday 20th May 2025
⏰ Time: 9.30am – 2pm
đź“Ť Location:
ULMS-SR6: Management School Seminar Room 6; Campus map reference: F2-F3/427
Building information: Management School, Chatham Street, Liverpool, L69 7ZH (South Campus)
Campus map reference: F2-F3/427
Agenda
09:30 – 10:00 – Arrival (tea and coffee)
10:00 – 10:15 – Welcome – A short introduction to the Alan Turing Institute and UoL being part of Turing university network from me and Valentina Tamma who is Co-chair of Knowledge Graphs Interest group about Turing Interest Groups
10:15 – 11:00 – Elevator-pitches – Staff to showcase their work in Data Science and AI (book your space – 2 minutes maximum)
Rahul Savani
Rahul is a Professor in the Department of Computer Science at the University of Liverpool works on problems at the interface of economics/finance and computer science. Rahul have worked extensively on equilibrium computation for game-theoretic models of strategic interaction
https://www.liverpool.ac.uk/people/rahul-savani
Venkatasubramanian, Prajith
Prajith has obtained a Doctorate of Pharmacy and a Masters of Science in Pharmacology and Drug Discover from Coventry University. He is a Research Assistant / Data Curator within CELT as a member of the Perinatal Pharmacology Group. Prajith is working on long-acting antiretroviral therapies and antipsychotics. He collects, analyses, and interprets scientific information from peer-reviewed scientific journals, reviewing submissions & conducts independent research, developing documentation for the user community. Alongside this, Prajith is involved in contributing to the development and expansion of initiatives.
https://www.liverpool.ac.uk/centre-of-excellence-for-long-acting-therapeutics/about-us/members/perinatal-pharmacology/
Leonardi, Nicoletta
Professor of Coastal Dynamics. Nicoletta is a civil engineer specialising in coastal studies and computer modelling and an EPSRC Fellow. Before joining the University of Liverpool Nicoletta completed PhD at Boston University, USA. Nicoletta has an international reputation for the study of coastline evolution, geomorphology, hydrodynamics and coastal management strategies focusing on engineering with nature and coastal wetlands.
https://www.liverpool.ac.uk/people/nicoletta-leonardi
Biglarbeigi, Pardis
Dr Biglarbeigi is an engineer by background and a multidisciplinary researcher, currently working as a Lecturer in Health data science in University of Liverpool. She specialises in time-series analysis, signal/image processing, numerical modelling, and AI-driven predictive modelling. Her research focuses on extracting actionable insights from biomedical signals (ECG, EEG) and electronic health records to enhance disease modelling and support trial emulation. Her collaborative approach has led to impactful partnerships with clinicians, public health professionals, and domain experts, fostering innovation in areas such as wavelet-based characterisation of nano materials, aiming for expanding the methods to cell characterisation.
Alex Hill
Alex is a Data Science Fellow at the University of Liverpool, working within the QUASAR Group. Alex conducts innovative research in medical physics, collaborating closely with industrial partners to develop cutting-edge technologies. His current focus is in radiography and metabolomics. He plays an active role within the LIV.INNO programme, so-supervising PhD students delivering novel training approaches that combine academic rigour with real-world applications. Alex is also focused on building strong connections with industry, fostering partnerships that drive mutually beneficial impact and innovation.
https://www.liverpool.ac.uk/quasar/the-quasars/alexander-hill/
Yang Zhang
Yang Zhang has an academic background in developing and applying methodologies in the field of machine learning, system identification and signal processing on multidisciplinary research projects associated with life science and healthcare. Yang has worked on several multidisciplinary collaborative projects across the UK and has developed significant experience in machine learning algorithms, data-driven modelling and analysis and data visualisation skills.
https://www.virtualengineeringcentre.com/people/yang-zhang/
Procheta Sen
Procheta is a Lecturer (Assistant Professor) in the Department of Computer Science at University of Liverpool (UOL), United Kingdom. Procheta is part of the Natural Language Processing group at UOL whose work lies at the intersection of Information Retrieval (IR), Natural Language Processing (NLP), and Machine Learning (ML)
https://procheta.github.io/
10:50 – 11:05 – Coffee Break
110:05 – 12:10 – Continued Pitches
Ron Mahabir
Dr. Ron Mahabir is a Human Geographer specialising in computational approaches that use data science tools, techniques, and methodologies to analyse spatial patterns, understand complex socio-environmental interactions, and address challenges related to urban planning, environmental management, and social equity. His main area of expertise lies in understanding cities, with a particular interest in the drivers of urban change, including the dynamics of urban growth, the impacts of climate change, and the role of technology in shaping sustainable urban futures.
https://www.liverpool.ac.uk/people/ron-mahabir
Cook, Callum
Brain Infection & Inflammation Group
Callum is a Junior Doctor based at the Royal Liverpool Hospital. He is interested in neuroscience, neurology and how AI can be integrated into medical practice. Working with the Brain Infection and Inflammation group at the Walton Centre, Callum has looked specifically at how AI could be used in the analysis of EEG, especially in the context of encephalitis (brain infection)
Cheng, Guangliang
Reader (Associate Professor) in the Department of Computer Science, University of Liverpool, working on deep learning, computer vision, perception algorithms & applications, etc. Before that, Guangliang worked for 4 years as a vice research director in the Autonomous Driving Group in SenseTime, under the supervision of Dr.Jianping Shi.
Selis, Valerio
Dr Valerio Selis is a Lecturer at the Department of Electrical Engineering and Electronics, University of Liverpool, and he is part of the Advanced Networks Research Group (ANRG). His research interests include trust management, Internet of Things, embedded systems, machine-to-machine communications, human-to-thing interactions, wireless networks, network security and nano-communication networks. He teaches Digital Electronics and Microprocessor Systems to undergraduate students, and Internet of Things to MSc students.
Noble PJ
Prof P-J qualified from Edinburgh in 1990 with degrees in veterinary physiology and veterinary medicine and surgery. After 2 years in general practice he joined the Small Animal Hospital team at Liverpool as a house officer. He went on to study for a PhD in gastric epithelial physiology in the University of Liverpool Physiological Laboratory and following two years as a lecturer in the vet school he undertook a post-doctoral placement in the same lab. P-J returned to a lectureship in the Small Animal Teaching Hospital in 2002 and became Senior Lecturer in Internal Medicine in 2012.
https://www.liverpool.ac.uk/sath/about-us/staff/p-j-noble/
Paul Graham, Senior Solutions Architect – HER, HPC & AI, NVIDIA UK&I | EMEA, presents “AI for Science” which covers an introduction into how we see AI and HPC being used across scientific domains and applied to research
12:10 – 13:00 Lunch
13:00 – 13:20 – “Wider resources available – Paul Graham introducing the resources from the deep learning institute, academic grant program, hackathons and bootcamps
13:20 – 13:50 – Roundtable Discussion around Research, Partnerships and Impact
13:50 – 14:00 – Closing Remarks
