Dr Daniel Mitchell

  • Research Associate (Autonomous Systems & Connectivity)

Biography

Dr. Daniel Mitchell is currently a Research Associate at the University of Glasgow. He received a PhD in Electrical and Electronic Engineering (EEE) from the University of Glasgow in 2024 and was awarded the Sir Alan Stirling Brown Award by the School of Engineering. In 2024 he was also a Visiting Student Researcher at the California Institute of Technology (Caltech). In 2020 he was awarded a Masters in EEE with distinction from Heriot-Watt University. His research focuses on symbiotic multi-robot fleets which seeks to address challenges in robotic teams connected with a human-in-the-loop operator. In addition to this, he develops a novel dual application sensing mechanism which uses non-destructive sensing for asset integrity inspection and foresight monitoring for robotic platforms. 

Dr. Mitchell is an award winning researcher where in 2024 he was named a Rising Star in Cyber Physical Systems by the University of Virginia and was also presented with the IET Rising Star Award at the IET Excellence and Innovation Awards. Since 2019 he has worked as part of MicroSense Technologies Ltd developing novel radar sensing which has seen collaborations of work alongside the Offshore Robotics for Certification of Assets (ORCA) Hub.

Connect with Dr. Mitchell via LinkedIn- https://www.linkedin.com/in/daniel-mitchell1/

Research interests

Daniel's research interests include Robotics and Autonomous Systems, Digital Twinning, Non-Destructive Sensing and Brain Computer Interfaces.

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021
Number of items: 13.

2024

Baniqued, P. D. E. et al. (2024) Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments. Journal of Field Robotics, 41(5), pp. 1521-1540. (doi: 10.1002/rob.22329)

Blanche, J., Mitchell, D. , Shang, J. , Flynn, D. , Pavuluri, S. and Desmulliez, M. (2024) Dynamic analysis of geomaterials using microwave sensing. Scientific Reports, 14, 7112. (doi: 10.1038/s41598-024-57653-3) (PMID:38532052) (PMCID:PMC10965938)

Chirayil Nandakumar, S., Mitchell, D. , Erden, M. S., Flynn, D. and Lim, T. (2024) Anomaly detection methods in autonomous robotic missions. Sensors, 24(4), 1330. (doi: 10.3390/s24041330) (PMID:38400491) (PMCID:PMC10892279)

Alexandre Pontes Pizzino, C., Romankevicius Costa, R., Mitchell, D. and Amâncio Vargas, P. (2024) NeoSLAM: long-term SLAM using computational models of the brain. Sensors, 24(4), 1143. (doi: 10.3390/s24041143) (PMID:38400301) (PMCID:PMC10892990)

2023

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

Tang, W., Brown, K., Mitchell, D. , Blanche, J. and Flynn, D. (2023) Subsea power cable health management using machine learning analysis of low frequency wide band sonar data. Energies, 16(17), 6172. (doi: 10.3390/en16176172)

Blanche, J., Mitchell, D. , West, A., Harper, S., Groves, K., Lennox, B., Watson, S. and Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189266)

Harper, S. T., Mitchell, D. , Nandakumar, S. C., Blanche, J., Lim, T. and Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-8. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D. , Blanche, J., Harper, S., Lim, T. and Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189296)

Tang, W., Blanche, J., Mitchell, D. , Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

2022

Mitchell, D. , Blanche, J., Desmulliez, M., Pavuluri, S. and Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 24-26 October 2022, pp. 1-4. ISBN 9781665488235 (doi: 10.1109/icecs202256217.2022.9971028)

Mitchell, D. , Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

2021

Mitchell, D. , Blanche, J., Zaki, O., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T. and Flynn, D. (2021) Symbiotic System of Systems design for safe and resilient autonomous robotics in offshore wind farms. IEEE Access, 9, pp. 141421-141452. (doi: 10.1109/ACCESS.2021.3117727)

This list was generated on Sat Dec 21 19:21:35 2024 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 13.

Articles

Baniqued, P. D. E. et al. (2024) Multimodal immersive digital twin platform for cyber–physical robot fleets in nuclear environments. Journal of Field Robotics, 41(5), pp. 1521-1540. (doi: 10.1002/rob.22329)

Blanche, J., Mitchell, D. , Shang, J. , Flynn, D. , Pavuluri, S. and Desmulliez, M. (2024) Dynamic analysis of geomaterials using microwave sensing. Scientific Reports, 14, 7112. (doi: 10.1038/s41598-024-57653-3) (PMID:38532052) (PMCID:PMC10965938)

Chirayil Nandakumar, S., Mitchell, D. , Erden, M. S., Flynn, D. and Lim, T. (2024) Anomaly detection methods in autonomous robotic missions. Sensors, 24(4), 1330. (doi: 10.3390/s24041330) (PMID:38400491) (PMCID:PMC10892279)

Alexandre Pontes Pizzino, C., Romankevicius Costa, R., Mitchell, D. and Amâncio Vargas, P. (2024) NeoSLAM: long-term SLAM using computational models of the brain. Sensors, 24(4), 1143. (doi: 10.3390/s24041143) (PMID:38400301) (PMCID:PMC10892990)

Mitchell, D. et al. (2023) Lessons learned: symbiotic autonomous robot ecosystem for nuclear environments. IET Cyber-Systems and Robotics, 5(4), e12103. (doi: 10.1049/csy2.12103)

Tang, W., Brown, K., Mitchell, D. , Blanche, J. and Flynn, D. (2023) Subsea power cable health management using machine learning analysis of low frequency wide band sonar data. Energies, 16(17), 6172. (doi: 10.3390/en16176172)

Tang, W., Blanche, J., Mitchell, D. , Harper, S. and Flynn, D. (2023) Characterisation of composite materials for wind turbines using frequency modulated continuous wave sensing. Journal of Composites Science, 7(2), 75. (doi: 10.3390/jcs7020075)

Mitchell, D. , Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S. and Flynn, D. (2022) A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector. Energy and AI, 8, 100146. (doi: 10.1016/j.egyai.2022.100146)

Mitchell, D. , Blanche, J., Zaki, O., Roe, J., Kong, L., Harper, S., Robu, V., Lim, T. and Flynn, D. (2021) Symbiotic System of Systems design for safe and resilient autonomous robotics in offshore wind farms. IEEE Access, 9, pp. 141421-141452. (doi: 10.1109/ACCESS.2021.3117727)

Conference Proceedings

Blanche, J., Mitchell, D. , West, A., Harper, S., Groves, K., Lennox, B., Watson, S. and Flynn, D. (2023) Microwave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189266)

Harper, S. T., Mitchell, D. , Nandakumar, S. C., Blanche, J., Lim, T. and Flynn, D. (2023) Addressing Non-Intervention Challenges via Resilient Robotics Utilizing a Digital Twin. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-8. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189310)

Mitchell, D. , Blanche, J., Harper, S., Lim, T. and Flynn, D. (2023) Microwave Foresight Sensing for Safety Compliance in Autonomous Operations. In: 2023 IEEE International Conference on Omni-layer Intelligent systems (COINS), Berlin, Germany, 23-25 July 2023, pp. 1-7. ISBN 9798350346473 (doi: 10.1109/COINS57856.2023.10189296)

Mitchell, D. , Blanche, J., Desmulliez, M., Pavuluri, S. and Flynn, D. (2022) Ground Based Inspection for Overhead Transmission Line Sag. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 24-26 October 2022, pp. 1-4. ISBN 9781665488235 (doi: 10.1109/icecs202256217.2022.9971028)

This list was generated on Sat Dec 21 19:21:35 2024 GMT.

Supervision

Daniel has supervised several cohorts of Masters and MEng students where their projects can be viewed here: 

Symbiotic Autonomous Systems MSc 2023

Data and Digitalisation MSc Projects 2023

Microwave Radar Sensing for Non-Contact Landmine Detection- MEng Project 2023

Quality Assurance of Wind Turbine Blades using Non-Destructive Sensing for Defects- MEng project 2023

Teaching

Daniel supports the teaching for the ENG2083 Introduction to Programming 2 course led by Professor David Flynn. 

Professional activities & recognition

Prizes, awards & distinctions

  • 2023: Rising Star of the Year (Institute of Engineering Technology)
  • 2024: Rising Star in Cyber Physical Systems (University of Virginia Engineering Link Lab)