Research output per year
Research output per year
Personal profile
Research interests
My interests span a number of topics at the interface between computer science and biology, including bio-inspired computing, computational biology, and biomedical data mining. Currently my research focuses on biochemical models of connectionism, with applications in complex systems control and robotics, and methods for finding complex, dynamical patterns within biomedical data, with applications in the diagnosis and understanding of neurodegenerative diseases.
Biography
I am an Associate Professor in the School of Mathematical and Computer Sciences at Heriot-Watt University. I have MEng and PhD degrees from the University of York, awarded in 1999 and 2003 respectively. Following my PhD, I held an ERCIM Fellowship at the Norwegian University of Science and Technology. I then worked for 8 years as a researcher at the University of York, before moving to Heriot-Watt in 2013, where I now run the Complex Systems Laboratory.
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys
Ranieri, C. M., Montino Pimentel, J., Romano, M. R., Elias, L. A., Romero, R. A. F., Lones, M. A., de Araujo, M. F. P., Vargas, P. A. & Moioli, R. C., 30 Aug 2021, In: IEEE Access. 9, p. 122548-122567 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles
Bartoszewski, F., Just, M., Lones, M. A. & Mandrychenko, O., 15 Jun 2021, ICT Systems Security and Privacy Protection. SEC 2021. Jøsang, A., Futcher, L. & Hagen, J. (eds.). Springer, p. 367-381 15 p. (IFIP Advances in Information and Communication Technology; vol. 625).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile14 Downloads (Pure) -
Evaluation of recurrent neural network models for Parkinson’s disease classification using drawing data
Shenoy, A., Lones, M. A., Smith, S. L. & Vallejo, M., 15 Jul 2021, (Accepted/In press) 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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How to avoid machine learning pitfalls: a guide for academic researchers
Lones, M. A., 5 Aug 2021, arXiv, p. 2108.02497, 17 p.Research output: Working paper › Preprint
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Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L. & Vallejo, M., 8 Sep 2021, In: Neural Computing and Applications. 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Motor and Cognitive Deficit in Parkinson's Disease Patients: GECCO 2016 datasets
Vallejo, M. (Creator) & Lones, M. A. (Creator), Heriot-Watt University, 8 May 2016
DOI: 10.17861/958af07e-d336-4202-854e-12188211873a
Dataset
Prizes
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Humies Gold Award
Lones, Michael Adam (Recipient), Alty, J. E. (Recipient), Cosgrove, J. (Recipient), Duggan-Carter, P. (Recipient), Jamieson, S. (Recipient), Naylor, R. F. (Recipient), Turner, A. J. (Recipient) & Smith, S. L. (Recipient), Jul 2018
Prize: Prize (including medals and awards)
Press / Media
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A new algorithm for detecting the side-effects of Parkinson's medication
8/01/18 → 8/01/18
2 items of Media coverage
Press/Media: Research