Contact Desmond Bala Bisandu
Background
Bisandu obtained his BSc. in Computer Science and MSc. in Computer Science from the University of Jos, Nigeria and the American University of Nigeria respectively.
He is currently doing research in Machine learning and big data in Aerospace which is transferable knowledge to any domain so long as data exist in such field.
His research focuses more on developing, experimenting, and deploying deep learning predictive models to improve the airports/airlines passenger experiences.
Research opportunities
Bisandu is open to collaborating and multidisciplinary research in any area that will require my expertise.
Current activities
PhD student in Artificial Intelligence
Clients
Petroleum Technology Development Fund (PTDF) Nigeria.
Publications
Articles In Journals
- Bisandu DB, Moulitsas I & Filippone S (2022) Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction, Neural Computing and Applications, 34 (11) 8777-8802.
- Homaid M, Bisandu D, Moulitsas I & Jenkins K (2022) Analysing the sentiment of air-traveller: a comparative analysis, International Journal of Computer Theory and Engineering, 14 (2) 48-53. Dataset/s: 10.17862/cranfield.rd.19375334
Conference Papers
- Bisandu DB & Moulitsas I (2022) A bidirectional deep LSTM machine learning method for flight delay modelling and analysis. In: National Training Aircraft Symposium (NTAS) 2022 - Bridging the Gap, Daytona Beach, 24-26 October 2022.
- Bisandu DB, Homaid MS, Moulitsas I & Filippone S (2021) A deep feedforward neural network and shallow architectures effectiveness comparison: Flight delays classification perspective. In: 5th international conference on advances in artificial intelligence (ICAAI), Virtual Event, 20-22 November 2021.
