Dr Julien Le Kernec
- Senior Lecturer in Glasgow College UESTC (Autonomous Systems & Connectivity)
Smart radar systems
With the growing overcrowding of the spectrum, new threats (e.g. UAVs near airports), the need for spectrum reuse, and the emergence in 6G of radio and sensing capaibilities, there is a need to develop novel radar systems that can evolve in that environment and communicate amongst themselves. This starts with developing the radar spectrum sensing and actively communicating with neighboring radars or communication nodes to collaborate and fuse information. These functions have to be executed alongside radar functions and switch from one mode to another or combine several modes together in its operation via resource management. Having a software-defined radar platform to do this would mean that the radar could dynamically change its operating mode to fit the task at hand by acting via software on both hardware and processing configurations.
Radar in Assisted Living
With a growing elderly population worldwide, new paradigms of care are necessary to keep people leaving at home longer. In assisted living, radar systems are increasingly being employed in healthcare applications for human activity recognition and vital signs due to their advantages in terms of privacy, contactless sensing, and insensitivity to lighting conditions. Proposed classification algorithms are often complex, which necessitates significant computational resources. A multitude of radar data representations, radar systems (geometry, MIMO, …), and machine learning can be used to achieved these tasks. It is important to bring domain knowledge from radar, kinematics, and medical point of view to maximise the performances and the relevance of the system to meet the needs of the end user.
Radar in Animal Welfare
Lameness is among horses and farm animals in the top three welfare issues. Lameness problems are usually located on the animals' hooves, and they cause various issues, from gait change to impaired fertility, sub-optimum carcass and milk reduction which impacts revenue for the farmer and the weldare of the animal. Several methods have been proposed but all present drawbacks regarding accuracy, reliability, equipment cost and rapidity. Radar systems can be used to detect gait abnormalities in horses and farm animals as well as their vital signs.
- 2023-2026 Uncovering the mechanisms through which krill oil increases muscle function in older adults – £580k - BBSRC
- 2023-2024 Automatic lameness detection in cattle – £11k - James Herriot Scholarship Fund, UK
- 2021-2023 - collaborative research fund one-off crf covid-19 and novel infectious disease exercise - hk$6,849,390 - c7174-20g - super reality for hands-on online education (co-i)
- jan 2021 - 42k€ - dim-rsi - smart_gait : mobility lab for the study of frailty (co-i)
- mar 2020 - £10k – seed meeting – french embassy in london - smart gait project – consortium meeting fund – french embasy in london.
- jan 2020 – dec 2021 - £7.5k – phc alliance - british council - campus france - imshape – university of glasgow – university cergy-pontoise, france
- jun 2019 - may 2020 - 110k€ - inex inshape: intelligent radio-frequency sensing for falls and health predictions - co-i with Dr. Fioranelli (co-i) and university cergy pontoise (france) Prof. Romain (pi)
- jan - jun 2019 - £3k - systems, power and energy division for industrial partnership development.
- jul 2018 - jun 2020 - 38k€ - phc cai yuanpei - 41457uk - inshape: intelligent radio-frequency sensing for falls and health predictions with university cergy pontoise (france) Prof. Romain and univeristy of electronic science and technology china with Prof. Qian and Ms Lin (phd) - funded by campus france and china scholarship council.
- may 2018 - £5,125 - chancellor fund - well: wireless equine lameness locator with rf sensing
- may 2018 - april 2019 - £9,961.28 - horse betting levy board - sprj30 - atlas: automated thoroughbred lameness assessment system at the racetrack or yard - pi with Dr. Fioranelli (co-i) and Dr. Voute (co-i)
- oct 2017 - oct 2018 - £9,800 - petplan trust pump priming grant - detection of horses' lameness with contactless radar sensors - co-i with Dr. Fioranelli (pi) and Dr. Voute (co-i).
- dec 2017 - £3k - support from the international partnership development funding to develop the collaboration between the school of engineering at uog and the etis lab at university of cergy-pontoise, france and university of electronics science and technology, chengdu, china.
- apr - dec 2017: phc xu guangqi 2017 - campus france - 6,540€ - "radar remote sensing to prevent falls in older and vulnerable adults".
I am always glad to discuss with good students research opportunities to come and study in Glasgow
The following link will guide to the currently available PhD opportunities.
I am particularly interested in healthcare and animal welfare applications, drone detection and 6G/beyond radar/radio fusion.
- Akaydin, Abdullah
Indoor Navigation System for Visually Impaired by Using Radar
current phd students:
- Mr Fuchen Xu - communication centered Integrated sensing and communication waveform design - Sep 2022 - present co-I with Prof Lei Zhang
- Mr Mostafa Elsayed - Enhancement of Weak Signal Detection in Radar Systems for Assisted Living - Sep 2022 - present - PI with Dr Abbas, Dr Abbasi
- Mr Abdullah Akaydin - Indoor Navigation System for Visually Impaired by Using Radar - Oct 2021 - present - PI with Prof. Imran, Dr. Onireti, Dr. Ahmad
- Mr Weirong Sun - a robust high-resolution technology based on data compression - sep 2020 - present - co-I with Prof. Imran, Prof. Yang
- Mr Shuojie Wang - robotic arm wireless system control based on 5g - PI - with Dr Zhao - oct 2019 - present
- Miss Konstantina Linardopoulou (vet school) - developing robust methodologies to evaluate ruminant mobility with radar-based sensing - co-I with Prof. Jonsson, Dr. Viora, Dr. Abbasi, Dr. Fioranelli - oct 2019 - present
- Mr Zhenghui Li - deep learning for multidomain radar-based continuous human activity recognition for multiple targets - PI with Dr. Yang, Dr. Fioranelli and Prof. Imran - oct 2019 - present
visiting phd students
- Mr Fawei Yang – “mimo radar and wideband arrays techniques for the detection, tracking and classification of low, slow, and small targets” – Beijing Institute of Technology – visiting university of glasgow from oct 2019 to march 2020 with Dr. Fioranelli
- Dr. Changfeng Ren – “lower bounds on the mean square error : theory and applications in signal processing field” - ENS Cachan – 100% load - visited university of nottingham ningbo from 09/2014 to 11/2014 (3 months)
- Dr Chuanwei Ding - indoor monitoring based on biomedical radar - co-I with Dr. Hong - Nanjing University of Science and Technology - Graduated
former phd students
- Dr Kang Tan - machine learning in vehicular networks - co-I with Dr Bremner - Oct 2019 - March 2023
- Dr Aman Shrestha - radar micro-doppler for healthcare applications - PI with Dr. Fioranelli - University of Glasgow - oct 2016 - aug 2021
- Dr Haobo Li - wearable devices and radar for human activities monitoring and classification - PI with Dr. Fioranelli and Dr Heidari - University of Glasgow - graduated - 01/2021
- Dr Yier Lin - non-linear parameter estimation and classification of radar micro-doppler signatures - Co-I with Prof. Zhiqin Zhao as 1st supervisor- University of Electronics Science and Technology of China - graduated - 06/2020
- Dr Francis Xavier Ochieng - the use of ground-based radar to monitor the deflections of wind turbine masts and blades - co-I with Dr. Hancock - University of Nottingham Ningbo China - graduated 10/04/2019
former postoctoral staff
- Dr. Daniyal Haider – “design of a software radar for the early identification of gait failure in ehpad: application to fall detection” – (oct 2019 – feb 2020) – INEX caring - University Cergy-Pontoise - co-I with Prof. Romain
- Mr Petros Hadjichristodopoulou – RF waveforms for simultaneous applications in radar and communication domains - University of Glasgow, co-I with Dr Fioranelli - sep 2017 - aug 2018
- Mr Charalampos Loukas - activities of daily life (adl) classification in multi-occupancy scenarios with radar and deep learning - PI with Dr. Fioranelli and Dr. Yang. University of Glasgow, oct 2017 - sep 2018.
- Mr Jarez Patel - innovative radar detection & classification of small uavs or drones - PI with Dr. Fioranelli and Dr Anderson - University of Glasgow/Leonardo - oct 2017 - feb 2022
- Mr Adam Thorburn - Additive Manufacturing of a bearing cooling fin - Sulzer Pumps UK Ltd, 2021 - co-I with Dr Thomson
- Mr Cameron Bennett - classification of UAVs in holographic radar, Aveillant, 2019 - co-I with Dr. Fioranelli
- Mr Conor McHarg - ADAS radar - NXP, 2018 - co-I with Dr. Fioranelli
- Mr Joe Walker - digital electronics - Cirrus 2018 - co-I with Dr. Bremner
- Mr Vlad Coman - radar absorbing metamaterials: active vs passive - Onera, France - 2017 - co-I with Dr. Fioranelli.
- Mr Charlie Owens - processor architecture analysis of task-based scheduling for airborne radar - Leonardo UK - 2017 - co-I with Dr. Fioranelli.
- UESTC-UoG DTC: Signal Processing in Wireless Sensor Networks (Since Spring 2021)
- UESTC3001: Dynamics and Control (Spring 2016 - Spring 2020)
- UESTC3023: Professional Practice (Autumn 2017-2018)
- UESTC3030: Engineering and the Law - new product creation and business plan (Autumn since 2018)
- Gaitrite connected mat for the measurement of footfall
- motion capture suites:
- marker-based optitrack 24 cameras 100fps - accuracy 1.1mm in 3D
- markerless Theia 3D 8 cameras 240 fps - accuracy 0.6mm in 3D