Prof. Abhay Pandit
Director of the CÚRAM Centre, IE
Abhay Pandit is the established professor in Biomaterials and Scientific Director of a Science Foundation Ireland-funded Centre for Research in Medical Devices (CÚRAM) at the University of Galway. Prof. Pandit has developed the next generation of reservoir delivery vehicles with high payload capacity, programmable degradation profiles and inbuilt gradients of physical, chemotropic, and protective cues, which facilitate spatiotemporal localised sustained delivery of multiple biomolecules to target injury mechanisms at the molecular and cellular levels, with thrust on glycobiology. He is the author of 28 patents and has licensed four technologies to medical device companies. He has published over 348 manuscripts in esteemed journals such as Science Translational Medicine, PNAS, Science Advances, Nature Communications, Biomaterials and other notable high-impact publications. He has been honoured with the esteemed George Winter Award 2022, the Chandra P Sharma Award 2023, and the Biomaterials Advances Innovation Award 2023 for his research contributions to biomaterials. He is also a fellow of the American Institute for Medical and Biological Engineering (AIMBE), Tissue Engineering and Regenerative Medicine International Society (TERMIS), Irish Academy of Engineering and International Union of Societies for Biomaterials Science and Engineering (IUSBSE). He is currently the elected Chair of the TERMIS-EU.
Google Scholar: https://scholar.google.com/citations?user=iBPxhRwAAAAJ&hl=en
Prof. Andrew Parnell
Maynooth University, IE
Digital Twins and Artificial Intelligence in Precision Additive Manufacturing
Precision additive manufacturing (AM) stands out as a transformative approach, offering unparalleled capabilities to produce intricate and customized products. In my talk I will discuss into the symbiotic relationship between Digital Twins — virtual replicas of physical assets — and Artificial Intelligence (AI) in enhancing AM processes. The convergence of these advanced technologies facilitates real-time monitoring, predictive maintenance, and dynamic response to changes during the production process.
Andrew Parnell is Hamilton Professor and Director of the Hamilton Institute at Maynooth University. His research is in statistics and machine learning applied to a wide variety of scientific areas. He has co-authored over 100 peer-reviewed journal and conference papers, including in Science, Nature Communications, Nature Plants, and Proceedings of the National Academy of Sciences, and has contributed foundational methodology in journals such as Statistics and Computing, Knowledge-Based Systems, and Environmetrics. He has been awarded over €3 million to date in direct funding as PI or Co-PI, and has been involved in grants totalling over €65 million as PI/collaborator. He is currently a principal investigator in the SFI I-Form Advanced Manufacturing Centre working on closed-loop control and the design of digital twins for additive manufacturing processes using artificial intelligence.