Dr Alessandro Leronni
My research is centred on the continuum modelling and finite element simulation of complex multiphysics systems, with the aim of elucidating the mechanisms that dictate their behaviour and failure.
My primary expertise lies in electrochemo-mechanical systems, and my work spans across various domains, including (1) smart materials, (2) energy storage, and (3) developmental biology. Specifically, I am developing multiphysics frameworks to investigate (1) the impact of relative humidity on the performance of ionic electroactive polymers used as actuators, (2) the influence of size effects on the growth of lithium dendrites in solid-state batteries, and (3) the interaction between bioelectrical and mechanobiological signalling in cancer progression and tissue regeneration.
My research is inherently multidisciplinary, integrating principles from solid mechanics, fluid mechanics, and electrochemistry, and it often involves collaboration among engineers, mathematicians, physicists, and biologists.
Research interests
University of Bath Research Portal
https://researchportal.bath.ac.uk/en/persons/alessandro-leronni
Dr Da Chen
Dr. Da Chen is currently a Lecturer in the Department of Computer Science at the University of Bath. Prior to this, he was a Postdoc researcher in a joint project between Alibaba Group and The Institute of Automation, Chinese Academy of Sciences.
His research focuses on computer vision, machine learning, multimodal learning, and related areas. He is particularly interested in solving complex practical tasks under “limited” data conditions, such as learning with limited labelled data, out-of-distribution data, cross-domain learning, incremental learning, etc. To this end, he has proposed multiple solutions for few-shot learning image classification, out-of-distribution detection, and other tasks. He is also interested in video-related computer vision and multimodal learning tasks such as video summarization, video object detection, dense video captioning, etc.
University of Bath Research Portal:
https://researchportal.bath.ac.uk/en/persons/chen-chen-2
Dr Antonio Pellegrino
My expertise lies in developing innovative experimental techniques to measure the mechanical response of engineering materials at high strain rates. I focus on understanding how variables such as strain rate, temperature, and environmental conditions affect lightweight reinforced polymers, titanium alloys, and cellular materials. Recently, I have developed a piezo-driven methodology for the synchronisation and timing of concurrent stress waves. The system allows for the synchronisation of tensile and shear stress waves and for the synchronisation of stress pulses in multiple directions.
I am also interested in applications of artificial intelligence in solid mechanics. I am actively involved in developing data-driven constitutive models to predict the mechanical behaviour of materials subjected to complex thermo-mechanical loading paths. These models account for various factors such as temperature, loading history, strain rate, and stress state, contributing to a deeper understanding of material behaviour in real-world scenarios.
Research Interests:
https://researchportal.bath.ac.uk/en/persons/antonio-pellegrino
Dr Rosti Readioff
Rosti’s research is focused on developing and utilising a combination of cutting-edge experimental (e.g., non-contact optical methods) and computational (applied mathematics) methods to provide engineering solutions for advancing orthopaedic and dental treatments. The engineering techniques can include multi-scale experimental and computational approaches to study structural mechanics and material properties of natural and engineered tissues (biomaterials) and tribological analysis of human joints (e.g., knee joints). The outcome of such techniques can assist in developing new materials for implants and streamlining restorative procedures in orthopaedic and dental practices.
https://researchportal.bath.ac.uk/en/persons/rosti-readioff
Professor Jun Zang
Jun’s research concerns the hydrodynamic loadings on urban, coastal and offshore structures and the impact of extreme events on such structures. Her research group develops and uses advanced CFD tools in modelling urban flooding, coastal flooding, fluid structure interactions, performance and survivability analysis of marine renewable energy devices (including all wave, tidal and offshore wind energy) and violent wave impact on coastal and offshore structures.
LINKS:
Jun Zang on University of Bath Research Portal
Professor Dylan Thompson
Research interests are in the areas of: physical activity, energy balance and chronic disease; physical activity assessment, measurement and feedback; nutrition, physical activity and adipose tissue function; exercise, nutrition and metabolism (including immunometabolism).
https://researchportal.bath.ac.uk/en/persons/dylan-thompson
Dr Ron Lavi
Ron’s research is in algorithmic game theory and internet economics, which is a relatively new research discipline that has evolved since the beginning of the 2000s. It employs mathematical tools (e.g., graph theory, probability theory, combinatorics) to study various topics on the border of economics, game theory and computer science. Examples include the design and analysis of auctions (which are the main source of revenue for Internet companies like Google and Facebook), social networks, crowdsourcing websites, cryptocurrency systems, etc. This active research community holds an annual conference and to obtain a better feel to the type of research being offered. List of papers presented at the annual conference for reference: https://ec22.sigecom.org/program/accepted-papers/
https://researchportal.bath.ac.uk/en/persons/ron-lavi
