Jan-Hendrik Ewers

email: j.ewers.1@research.gla.ac.uk

ORCID iDhttps://orcid.org/0000-0002-8498-1410

Research title: Machine Learning Driven Search and Rescue.

Research Summary

Biography

Mr Ewers is pursuing a PhD in Machine Learning Driven Search and Rescue at the University of Glasgow. He graduated with a Masters of Engineering with Honours of the First Class in Aerospace Systems from the same university in 2021. Mr Ewers has practical industry experience, having interned at BAE Systems Air in 2019 and worked as a systems engineer at Gibson Robotics from 2020 to 2021. In 2021, he received the British Aerospace Engineering Systems Prize for the best industrially relevant final year project. Throughout his undergraduate degree at the University of Glasgow, he was placed on the Excellence List every year.

Publications

List by: Type | Date

Jump to: 2024 | 2023
Number of items: 3.

2024

Ewers, J.-H. , Swinton, S. , Anderson, D. , McGookin, E. and Thomson, D. (2024) Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, UAE, 14 - 18 October 2024, (Accepted for Publication)

2023

Ewers, J.-H. , Anderson, D. and Thomson, D. (2023) Optimal path planning using psychological profiling in drone-assisted missing person search. Advanced Control for Applications: Engineering and Industrial Systems, 5(4), e167. (doi: 10.1002/adc2.167)

Ewers, J.-H. , Anderson, D. and Thomson, D. (2023) GIS Data Driven Probability Map Generation for Search and Rescue Using Agents. In: IFAC World Congress, Yokohama, Japan, 9-14 Jul 2023, pp. 1466-1471. (doi: 10.1016/j.ifacol.2023.10.1834)

This list was generated on Thu Nov 21 04:31:56 2024 GMT.
Number of items: 3.

Articles

Ewers, J.-H. , Anderson, D. and Thomson, D. (2023) Optimal path planning using psychological profiling in drone-assisted missing person search. Advanced Control for Applications: Engineering and Industrial Systems, 5(4), e167. (doi: 10.1002/adc2.167)

Conference Proceedings

Ewers, J.-H. , Swinton, S. , Anderson, D. , McGookin, E. and Thomson, D. (2024) Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, UAE, 14 - 18 October 2024, (Accepted for Publication)

Ewers, J.-H. , Anderson, D. and Thomson, D. (2023) GIS Data Driven Probability Map Generation for Search and Rescue Using Agents. In: IFAC World Congress, Yokohama, Japan, 9-14 Jul 2023, pp. 1466-1471. (doi: 10.1016/j.ifacol.2023.10.1834)

This list was generated on Thu Nov 21 04:31:56 2024 GMT.