Skip to Content
Exit Menu
Dr Veerendra C. Angadi

Dr Veerendra C. Angadi
Research Fellow

Summary

I am a Researcher in the Systems Engineering Research Group (SERG) in Brunel University. I have expertise is in the Industrial IoT - Statistical inferences, Machine learning, data analytics, data mining in Industry 4.0, Image/Video processing, Computer Vision algorithms, Spectral analysis in Microscopy and related domain. I am also involved in building user applications for interactive technical tasks. I have interests in working and designing with microcontrollers such as Arduino, Raspberry Pie, MSP430, eZ430-RF2500 etc. I am currently working in H2020 FoF Z-BRE4K project to investigate and predict the sudden breakdowns in the production assets by incorporating artificial intellience in the manufacturing process.

Newest selected publications

Danishvar, M., Angadi, V. and Mousavi, A. (2020) 'A PdM framework Through the Event-based Genomics of Machine Breakdown'.The 9th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modelling 2020. Vancouver, Canada. 30 - 23 August. IEEE. pp. 1 - 6.Open Access Link

Conference paper

Angadi, V., Mousavi, A., Bartolome, D., Tellarini, M. and Fazziani, M. (2020) 'Regressive Event-Tracker: A Causal Prediction Modelling of Degradation in High Speed Manufacturing'.30th International Conference on Flexible Automation and Intelligent Manufacturing. Athens. Procedia Manufacturing. ISSN: 2351-9789 Open Access Link

Conference paper

Werner, A., Angadi, VC., Lentes, J. and Mousavi, A. (2020) 'Vorausschauende Instandhaltung – Wenn der Digitale Schatten an Grenzen stößt: Harmonisierung datengetriebener und physikbasierter Modelle für die vorausschauende Instandhaltung'. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 115 (5). pp. 335 - 339. ISSN: 0947-0085 Open Access Link

Journal article

Angadi, V., Mousavi, A., Bartolome, D., Tellarini, M. and Fazziani, M. (2020) 'Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process'.The 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies 2020. Cambridge,UK. IFAC-PapersOnLine. pp. 1 - 5. ISSN: 2405-8963 Open Access Link

Conference paper

Huang, Z., Angadi, VC., Danishvar, M., Mousavi, A. and Li, M. (2019) 'Zero Defect Manufacturing of Microsemiconductors - An Application of Machine Learning and Artificial Intelligence'.5th International Conference on Systems and Informatics, ICSAI 2018. Nanjing, China. 3 - 12 November. IEEE. pp. 449 - 454. ISSN: 2474-0217

Conference paper
More publications(9)