Contact Dr Desmond Bisandu
Areas of expertise
- Aeronautical Systems
- Air Transport Management
- Autonomous Systems
- Aviation Management & Operations
- Computing, Simulation & Modelling
Background
Dr Desmond Bisandu is an expert in Data Science and Machine Learning with a passion for making significant contributions as an early career researcher. He holds a PhD in Data Science from Cranfield University, marking the height of his academic journey that began with a Bachelor of Science (BSc) degree in Computer Science from the University of Jos, followed by a Master of Science (MSc) degree in Computer Science from the American University of Nigeria.
Dr Bisandu's passion for originality in ideas and problem-solving drives his research, which focuses on developing novel Machine Learning models for predictive analytics. With a strong computer science foundation, he combines advanced statistical techniques, data mining algorithms, and programming skills to tackle complex challenges in diverse domains.
Despite being early in his career, Dr Bisandu has already demonstrated remarkable promise and potential. His research endeavours have gained attention for their initiative and practical relevance, with implications spanning the different sectors.
As an early career researcher, Dr Bisandu embraces collaboration and continuous learning. He actively seeks opportunities to engage with peers, mentors and industry professionals, leveraging their expertise to refine his skills and perspectives. Driven by a commitment to excellence, he remains dedicated to expanding his knowledge base and staying abreast of the latest Data Science and Machine Learning developments.
Research opportunities
Machine Learning, Deep Learning, Artificial Intelligence, Computer Science, Algorithms Development, Air Transport Management Systems, Aerospace, Digital Aviation, Passenger Experience, Computational Science and any multidisciplinary research for solving emerging problems through innovation and new technologies.
Current activities
1. Develop novel research outputs for academia and Industrial partners (DAFNI)
2. Working and providing solutions to the UK's largest airports
3. Developing novel algorithms/approaches for the UK Aviation Systems
4. Develop course materials and teach Programming for Business Analytics
5. Programming methods for Robotics
6. Artificial Intelligence and Machine Learning for Business Analytics
7. Machine Learning and Big Data for Computational Data Analytics
8. Artificial Intelligence and Machine Learning for Robotics
9. MSc Group Project and Individual thesis supervision
Clients
UK Research and Innovation (UKRI)
Data and Analytics Facilities for National Infrastructure (DAFNI)
Petroleum Technology Development Fund (PTDF), Nigeria
Publications
Articles In Journals
- Bala Bisandu D & Moulitsas I. (2024). Prediction of flight delay using deep operator network with gradient-mayfly optimisation algorithm. Expert Systems with Applications, 247
- Alreshidi I, Bisandu D & Moulitsas I. (2023). Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability. Sensors, 23(22)
- Bisandu DB & Moulitsas I. (2023). A Deep BiLSTM Machine Learning Method for Flight Delay Prediction Classification. Journal of Aviation/Aerospace Education & Research, 32(2)
- Homaid MS, Bisandu DB, Moulitsas I & Jenkins K. (2022). Analysing the Sentiment of Air-Traveller: A Comparative Analysis. International Journal of Computer Theory and Engineering, 14(2)
- 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)
- Gambo FL, Wajiga GM, Shuib L, Garba EJ, Abdullahi AA, .... (2022). Performance Comparison of Convolutional and Multiclass Neural Network for Learning Style Detection from Facial Images. ICST Transactions on Scalable Information Systems, 9(35)
- Bisandu DB, Prasad R & Liman MM. (2019). Data clustering using efficient similarity measures. Journal of Statistics and Management Systems, 22(5)
- Bisandu DB, Prasad R & Liman MM. (2018). Clustering news articles using efficient similarity measure and N-grams. International Journal of Knowledge Engineering and Data Mining, 5(4)
- Prasad R, Bisandu D & Liman M. (2018). Clustering News Articles using Efficient Similarity Measure and N-grams. International Journal of Knowledge Engineering and Data Mining, 5(1)
- Bisandu DB, Adedotun OJ & Gambo FL. A Reliable Mobile Application Package Picker and Delivery System. International Journal of Computer Science and Mobile Applications, 10(2)
- Bisandu DB, Shalom A & LawanGambo F. MULTIMODAL BIOMETRIC AUTHENTICATION FOR A COMPUTER-BASED TEST (CBT) APPLICATION. International Research Journal of Computer Science, 7(7)
- Gurumdimma NY, Bisandu DB & Ojedayo E. Event extraction from textual data. Journal of Computer Science and Its Application, 26(1)
Conference Papers
- Bisandu DB & Moulitsas I. (2023). A Hybrid Ensemble Machine Learning Approach For Arrival Flight Delay Classification Prediction Using Voting Aggregation Technique
- Bisandu DB & Moulitsas I. (2022). A bidirectional deep LSTM machine learning method for flight delay modelling and analysis
- Bala Bisandu D, Salih Homaid M, Moulitsas I & Filippone S. (2021). A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective