marco castellani

Lecturer

University of Birmingham

United Kingdom

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Marco Castellani is a Lecturer at the University of Birmingham, United Kingdom. His research interests include robotic manipulation, machine learning applications in medical imaging, turbulence modeling, and neural network optimization. He has authored several articles exploring advanced techniques in artificial intelligence and automation, contributing to fields such as industrial robotics and biomedical engineering.

Articles (14)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

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2020

Collaborators (5)

F. Javier Ramirez

Profesor Titular de Universidad (Tenured Professor)

Universidad de Castilla-La Mancha - Campus de Albacete

SPAIN

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Duncan Shepherd

Professor

University of Birmingham

UNITED KINGDOM

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Yongjing Wang

University of Birmingham

UNITED KINGDOM

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Ziyun Ding

University of Birmingham

UNITED KINGDOM

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Federico Alberini

UNITED KINGDOM

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marco castellani

Research Interests

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Articles (14)

Towards cost-effective and safe contact-rich robotic manipulation with reinforcement learning: A review of techniques for future industrial automation

Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review

Gait Intention Prediction Using a Lower-Limb Musculoskeletal Model and Long Short-Term Memory Neural Networks

Optimising Physics-Informed Neural Network Solvers for Turbulence Modelling: A Study on Solver Constraints Against a Data-Driven Approach

The SVD-enhanced bees algorithm, a novel procedure for point cloud registration

A competitive learning scheme for deep neural network pattern classifier training

On the correctness of using two-dimensional representations in the analysis of cylindrical peg–hole insertion and withdrawal

Artificial neural network tools for predicting the functional response of ultrafast laser textured/structured surfaces

Automatic Identification of Mechanical Parts for Robotic Disassembly Using the PointNet Deep Neural Network

Neural network identification of water pipe blockage from smart embedded passive acoustic measurements

An analysis of the search mechanisms of the bees algorithm

Autonomous remanufacturing

Model-based evaluation of the genetic impacts of farm-escaped Atlantic salmon on wild populations

Machine learning of electro-hydraulic motor dynamics

Collaborators (5)

F. Javier Ramirez

Duncan Shepherd

Yongjing Wang

Ziyun Ding

Federico Alberini

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