Mozafar Saadat

Associate Professor

University of Birmingham

United Kingdom

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Mozafar Saadat is an Associate Professor at the University of Birmingham, United Kingdom. His research interests encompass machine learning applications, robotics, gait analysis, and rehabilitation therapy, as evidenced by his recent publications. Notable areas of focus include differentiating mental health disorders using electroencephalography, enhancing robotic disassembly processes, and improving walking speed in individuals with hemiparetic gait patterns.

Articles (11)

Year:

2024

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2020

Year:

2020

Collaborators (7)

soran parsa

University of Huddersfield

UNITED KINGDOM

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Alireza Rastegarpanah

University of Birmingham

UNITED KINGDOM

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Seyed-Ali Sadegh-Zadeh

Staffordshire University

UNITED KINGDOM

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Saeed Shiry Ghidary

Staffordshire University

UNITED KINGDOM

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Duc Pham

University of Birmingham

UNITED KINGDOM

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Salman Saeidlou

Principal Lecturer/Associate Professor in Mechanical/Material Engineering

Canterbury Christ Church University

UNITED KINGDOM

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Yue Zang

University of Sheffield

UNITED KINGDOM

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Mozafar Saadat

Research Interests

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Articles (11)

Jamming problems and the effects of compliance in dual peg-hole disassembly

A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities

Effects of Variations in Hemiparetic Gait Patterns on Improvements in Walking Speed

Efficient Observer Design for Ambulatory Estimation of Body Centre of Mass Position

Machine Learning Modelling for Compressive Strength Prediction of Superplasticizer-Based Concrete

Multi-objective grasp pose optimisation for robotic 3D pipe assembly manipulation

Simulated muscle activity in locomotion: implications of co-occurrence between effort minimisation and gait modularity for robot-assisted rehabilitation therapy

Human-robot collaboration disassembly planning for end-of-life product disassembly process

Towards decentralised job shop scheduling as a web service

Rapid prototyping method for 3D PDMS microfluidic devices using a red femtosecond laser

Real-time deep learning-based image recognition for applications in automated positioning and injection of biological cells

Collaborators (7)

soran parsa

Alireza Rastegarpanah

Seyed-Ali Sadegh-Zadeh

Saeed Shiry Ghidary

Duc Pham

Salman Saeidlou

Yue Zang

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