Professor Massimiliano Vasile
Mechanical and Aerospace Engineering
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Area of Expertise
- Computational optimisation
- Multidisciplinary design
- Robust design optimisation
- Astrodynamics and mission analysis
- Computational intelligence
- Development of computational tools for system,component and process design and optimisation
- Integrated design of new products and processes
- Reliability analysis of products and processes, enhanced product quality
- Analysis of new mission concepts
- Autonomous control of processes and systems
- Autonomous activity planning and scheduling, support to multi-criteria decision making
Prize And Awards
- Fellow of the Royal Astronomical Society
- Recipient
- 29/10/2024
- Innovative Computational Methods in Dynamical Astronomy
- Recipient
- 13/5/2023
- AIAA Associate Fellow
- Recipient
- 1/10/2022
- Senior IEEE member
- Recipient
- 27/9/2022
- Best Paper Award in "Innovation in Smart Cities and Systems"
- Recipient
- 1/9/2022
- Best interactive paper award - IAC 2021
- Recipient
- 2021
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Publications
- Generating stable and metastable critical points in uncertain systems via flow‐based models
- Wilson Callum, Vasile Massimiliano
- Expert Systems Vol 43 (2026)
- https://doi.org/10.1111/exsy.70196
- Analysis and implementation of DVB-S2 in the UHF band for STRATHcube downlink communications
- Stebbings Daniel, Crockett Louise, Clemente Carmine, Vasile Massimiliano
- 2025 European Data Handling & Data Processing Conference (EDHPC) European Data Handling and Data Processing Conference 2025 (2026)
- Overall results of the SMPAG work package on mission scenarios definition in response to the 2025 Planetary Defense Conference Hypothetical Asteroid Impact Threat Scenario
- Cano Juan L, Khan Michael, Colombo Camilla, Vasile Massimiliano, Moissl Richard, Koschny Detlef
- Acta Astronautica Vol 242, pp. 158-165 (2026)
- https://doi.org/10.1016/j.actaastro.2026.01.023
- Attitude estimation using AI-based hyperspectral technology for autonomous close-proximity operations
- Cakir Alper, Porter Fiona, Jinglang Feng, Vasile Massimiliano, Campbell Andrew, Zabalza Jaime, Savitski Vasili
- IAF Astrodynamics Symposium 76th International Astronautical Congress, pp. 194-208 (2026)
- https://doi.org/10.52202/083087-0019
- Designing an in-space recycling station for a sustainable circular space economy
- Laino Maria Anna, Vasile Massimiliano
- 23rd IAA Symposium on Building Blocks for Future Space Exploration and Development 76th International Astronautical Congress, pp. 538-550 (2026)
- https://doi.org/10.52202/083093-0052
- Thermal model and radiator design for the SPS-ALPHA concept
- Alotaibi Ghanim, Vasile Massimiliano
- IAF Space Power Symposium 76th International Astronautical Congress, pp. 121-128 (2026)
- https://doi.org/10.52202/083089-0012
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Professional Activities
- 2nd International Workshop on AI for Space Sustainability
- Member of programme committee
- 30/10/2024
- 1st International Workshop on AI for Space Sustainability
- Member of programme committee
- 2024
- NASA Visit to the University of Strathclyde
- Organiser
- 8/11/2023
- Italian Embassy Scientific Attaché Visit
- Organiser
- 7/11/2023
- International Funding Opportunities for Space Research
- Organiser
- 20/12/2022
- OAS Artificial Intelligence Workshop
- Organiser
- 14/12/2022
Projects
- PS25128 - Assess the utility of existing metrics and develop new metrics for space environment
- Vasile, Massimiliano (Principal Investigator)
- 30-Jan-2025 - 31-Jan-2026
- Spatial Open-Source Intelligence (S-OSINT) in the Age of Misinformation and Disinformation
- Schippers, Birgit (Principal Investigator) Riccardi, Annalisa (Principal Investigator) O'Donnell, Therese (Principal Investigator) Vasile, Massimiliano (Principal Investigator)
- Reliable and verifiable sources that can document human rights abuses or violations of international humanitarian law are crucial in legal contexts. Spatial open-source intelligence (S-OSINT), which is information that is gathered from publicly available digital data such as satellite or remote sensing data, has become an increasingly significant resource in human rights lawyering, from investigations and fact-finding missions through to courtroom evidence at trial. S-OSINT can bypass challenges in evidence gathering, especially where access to witnesses or sites is difficult.
Despite its considerable value, the use of S-OSINT raises concerns about its impact on data privacy and security, and about the validity and reliability of open-source information. Specifically, worries about the effects of misinformation—the inadvertent sharing of inaccurate content—and disinformation—the intentional sharing of inaccurate content with the aim of causing harm—can raise doubts about the trustworthiness of S-OSINT.
This project asks what best practice in the use of S-OSINT in legal contexts should look like, and it will create frameworks to prevent misinformation and disinformation from undermining the value of S-OSINT.
By investigating the legal, ethical and engineering challenges of S-OSINT, the project will establish rigorous standards that will inform a best practice framework for engineers, legal professionals, researchers, and other S-OSINT users. Its interdisciplinary approach supports the project’s ambition to advance the development of human-centred, ethical and lawful uses of digital and industrial technologies. With this focus, the project will also enhance the Global Challenges theme ‘Digital, Industry and Space’.
To deliver on its ambition, the project will (1) develop a Strathclyde-led interdisciplinary research programme that will create a best practice framework for the use of S-OSINT; (2) foster interdisciplinary and cross-sector collaborations with external partners, including international governmental and non-governmental organisations, legal professionals, and SMEs; and (3) prepare two external funding applications.
Funded by the University of Strathclyde's Institutional Funding for Research Culture Award, Cultures of Collaborative Research (Wellcome Trust). For further information please visit the Collaborative Research Cultures Web Page (https://www.strath.ac.uk/research/researchenvironment/collaborativeresearchcultures/). - 30-Jan-2025 - 28-Jan-2026
- Robust Attitude Uncertainty Estimation for Debris Removal
- Vasile, Massimiliano (Principal Investigator) Ilioudis, Christos (Co-investigator) Zabalza, Jaime (Co-investigator)
- 20-Jan-2024 - 19-Jan-2026
- Space Solar Mission Analysis
- Vasile, Massimiliano (Principal Investigator)
- 01-Jan-2024 - 14-Jan-2025
- AI-based multi-sensor data fusion for autonomous navigation around asteroids
- Feng, Jinglang (Principal Investigator) Vasile, Massimiliano (Co-investigator) Wu, Yue (Co-investigator) Zabalza, Jaime (Co-investigator)
- 01-Jan-2024 - 30-Jan-2027
- Protecting Earth from the uncertAinty of spaCe debris re-Entry
- Fossati, Marco (Principal Investigator) Bi, Sifeng (Co-investigator) Vasile, Massimiliano (Co-investigator)
- 01-Jan-2024 - 31-Jan-2027
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Contact
Professor
Massimiliano
Vasile
Mechanical and Aerospace Engineering
Email: massimiliano.vasile@strath.ac.uk
Tel: 548 2326