Research output per year
Research output per year
Personal profile
Biography
Nicolo holds a Bachelor and Master Degree in Biomedical Engineering from Politecnico di Milano (Milan, Italy) and a Doctor of Philosophy in Engineering from the Australian National University (Canberra, Australia).
Qualifications
BEng-Biomed (Milan), MBiomedEng (Milan), PhD (ANU)
Research Interests
- Modelling and control of physiological systems.
- Sleep medicine
- Technology-assisted delivery of medicines.
- Medical applications of engineering. Medical devices.
- Engineering Education
Research student supervision
- Registered to supervise
Fingerprint
Dive into the research topics where Nicolo Malagutti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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G2P2C — A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes
Hettiarachchi, C., Malagutti, N., Nolan, C. J., Suominen, H. & Daskalaki, E., Apr 2024, In: Biomedical Signal Processing and Control. 90, p. 105839 1 p., 105839.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (Scopus) -
A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation
Hettiarachchi, C., Malagutti, N., Nolan, C., Daskalaki, E. & Suominen, H., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., p. 950-956 7 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Citations (Scopus) -
Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes
Hettiarachchi, C., Malagutti, N., Nolan, C. J., Suominen, H. & Daskalaki, E., 2022, AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Proceedings. Aziz, H., Corrêa, D. & French, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 557-570 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13728 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Citations (Scopus) -
Using UV-Responsive Nanoparticles to Provide In Situ Control of Growth Factor Delivery and a More Constant Release Profile from a Hydrogel Environment
Bruggeman, K., Zhang, M., Malagutti, N., Soltani Dehnavi, S., Williams, R., Tricoli, A. & Nisbet, D., 16 Mar 2022, In: ACS applied materials & interfaces. 14, 10, p. 12068-12076 9 p.Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus) -
ModelFree Inference Of Information Flow Among Physiological Signals In Type 1 Diabetes Subjects Using Multivariate Transfer Entropy
Hettiarachchi, C., Daskalaki, E., Malagutti, N., Nolan, C. & Suominen, H., 2021, In: Diabetes Technology and Therapeutics. p. 99Research output: Contribution to journal › Meeting Abstract › peer-review
7 Citations (Scopus)
Projects
- 2 Finished
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Development of Computer Vision workflows for orthopaedic research: automatic biomechanical analysis from long-leg x-ray images
Malagutti, N., Lynch, J. & Ward, T.
1/09/23 → 28/02/24
Project: Research
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The Big Sleep ACT Project: a novel, ACT-focussed clinical data resource for interdisciplinary research on sleep and sleep-related health
Malagutti, N., Hossain, Z. & Miller, S.
1/03/22 → 28/03/24
Project: Research