The paper “Dynamically Meaningful Latent Representations of Dynamical Systems“, co-authored by Imran Nasim (IBM, and Visiting Lecturer at Surrey) and Michael Henderson (IBM, New York), has been published in the MPDI journal “Mathematics” (open access link here). The paper presents a data-driven hybrid modeling approach to tackle the problem of reduction by combining numerically derived […]
Read more
Paul Bergold visited the Technical University of Munich (TUM) last week (31 Jan to 2 Feb). He was invited by his PhD supervisor, Prof Caroline Lasser, to give a talk in the seminar “Numerical Methods in CSE” (CSE = Computational Science and Engineering). The seminar was hosted by Prof Caroline Lasser and Prof Barbara Wohlmuth, who aim to […]
Read more
The paper “Discovering Intrinsic Multi-Compartment Pharmacometric Models Using Physics Informed Neural Networks”, co-authored by Adam Nasim and Imran Nasim, has been accepted for presentation at SCML 2024. Adam is Associate Scientific Director (Merck) and Visiting Lecturer (Surrey), and Imran is an AI Engineer (IBM) and Visiting Lecturer (Surrey). The paper will be presented at the […]
Read more
The paper “On the need for mathematical models for integration of sleep, circadian, and environmental science for sleep health policies“, co-authored by Derk-Jan Dijk (Surrey Sleep Research Centre) and Anne Skeldon, has been published in the journal Sleep Health (link to published paper here). The background to this paper: there was a 70th birthday conference in […]
Read more
David Lloyd has been awarded the T. Brooke Benjamin Prize in mathematics by SIAM. SIAM is America’s applied mathematics society and the largest in the world, with over 15,000 members. The TBB prize is their most important prize in nonlinear waves and patterns, and is awarded every two years, based on an outstanding paper published in the […]
Read more
The first paper is “Learning Reduced Order Dynamics via Geometric Representations”, and co-authored by Imran and Melanie Webber (Harvard). The second paper is “Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems”, co-authored by Imran and Joao Lucas De Sousa Almeida (IBM). Imran is an AI Engineer at IBM (web page) and Visiting […]
Read more
