Alessandro Leronni - Samba | Samba

Staff

Alessandro Leronni

Department of Mechanical Engineering

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 cold sintering of electroactive ceramic composites for actuation, sensing, and energy harvesting, (2) the micromechanics of lithium dendrites that propagate in solid-state batteries eventually causing their failure, 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

Continuum modelling of electrochemo-mechanical systems
Finite element implementation of multiphysics frameworks
Smart materials, energy storage, and developmental biology

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/alessandro-leronni

Second Supervisors

Thomas Powell

Department of Computer Science

Research interests:

Applications of logic in pure and applied probability.
Stochastic optimization.
Functional analysis.

Wenbin Li

Department of Computer Science

Research interests:

Reinforcement learning and its inverse problems;
Graph and network optimisation;
Continuous state approximation.

Georgios Exarchakis

Department of Computer Science

Research interests:

Learning Invariant Representations of High Dimensional Data
Efficient Inference and Learning in Probabilistic Models
Deep Learning

Rohit Babbar

Department of Computer Science

Research interests:

supervised learning problems with large label spaces,
learning with long-tailed data, and under label/input noise,
sparse neural networks for energy & memory efficient training/fine-tuning with LLMs, and
generalisation/robustness in deep learning.

Michael Yang

Department of Computer Science

Research interests:

3D scene synthesis
Scene graph generation
Multimodal learning

Ali Uncu

Department of Computer Science

Research interests:

Applications of Computer Algebra
Combinatorics and q-series
Developing new algorithms for mathematics

Da Chen

Department of Computer Science

Research interests:

Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
Video processing: multimodal learning with video with visual, textual, and audio information.

Antonio Pellegrino

Department of Mechanical Engineering

Research Interests:

Experimental mechanics
Applications of artificial intelligence to Solid Mechanics and materials modelling.
Impact Engineering

Jun Zang

Department of Architecture and Civil Engineering

Jun’s research concerns the hydrodynamic loadings on urban, coastal and offshore structures and the impact of extreme events on such structures.

Dylan Thompson

Department for Health

Research interests:

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).