About
Baba Musa Abbagoni is a Researcher in the Department of Engineering at the University of Huddersfield's School of Computing and Engineering. With a career spanning multiple research domains, he specializes in ultrasonics, two-phase flow dynamics, and sensor technology. He actively supervises PhD students and collaborates on interdisciplinary projects related to sustainable energy, fluid mechanics, and advanced measurement techniques.
- Institution: University of Huddersfield
- School: School of Computing and Engineering
- Department: Department of Engineering
- Academic Rank: Researcher
Research Interests
His work focuses on:
- Ultrasonic Doppler sensor development for multiphase flow analysis
- Gamma ray densitometer applications in flow measurement
- Energy harvesting from fluid dynamics
- Machine learning in flow regime classification
- Sustainable building systems thermal characterization
- Environmental impact reduction in energy systems
Publication Trends
Over 8 years, his research has evolved from fundamental two-phase flow classification (2016) to advanced applications in energy harvesting (2018, 2022) and sustainable building systems (2024). His work increasingly incorporates machine learning (2016) and environmental impact analysis (2023). Key collaborations include researchers in mechanical engineering, energy systems, and sensor technology.
Supervision
Currently accepting PhD students for projects related to concrete radiator systems and energy harvesting applications.
Contact
- Email: b.m.abbagoni@hud.ac.uk
- Phone: 01484 258815
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