Contact Dr Desmond Bisandu
- Email: Desmond.Bisandu@cranfield.ac.uk
- Twitter: @bisandud
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Aeronautical Systems
- Aerospace Manufacturing
- Air Transport Management
- Computing, Simulation & Modelling
- Renewable Energy
Background
Dr Desmond Bisandu (he/him) holds a PhD in Artificial Intelligence (Data Science) from Cranfield University and an MSc and a BSc in Computer Science from the University of Jos and the American University of Nigeria, respectively. He is currently a Lecturer (Assistant Professor) in Digital Technologies and DTS Open Cohorts Lead. His work is bridging the gap between theoretical research and practical applications, with his research focusing on the development of novel algorithms in Deep Learning and Machine Learning aimed at addressing socio-economic challenges through advanced computational technologies.
Research opportunities
Computer Science
Deep Learning
Machine Learning
Design and Analysis of Novel Algorithms
Data Science
Current activities
Computer Science, Machine Learning, Deep Learning, Artificial Intelligence, Data Science, Computational Science and Engineering, Novel algorithms development for solving real-world problems.
Clients
- UK Research and Innovation
- Petroleum Trust Development Fund
- Thales SA
- Airbus SE
- BAE Systems PLC
Publications
Articles In Journals
- Bisandu DB & Moulitsas I. (2024). Prediction of flight delay using deep operator network with gradient-mayfly optimisation algorithm. Expert Systems with Applications, 247
- Bisandu DB, Soviani-Sitoiu DA & Moulitsas I. (2024). An enhanced deep autoencoder for flight delay prediction. Journal of Aviation/Aerospace Education and Research, 33(4)
- Bisandu DB & Moulitsas I. (2023). A deep BiLSTM machine learning method for flight delay prediction classification. Journal of Aviation/Aerospace Education & Research, 32(2)
- Alreshidi I, Bisandu DB & 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 & Filippone S. (2022). Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction. Neural Computing and Applications, 34(11)
- Homaid MS, Bisandu DB, Moulitsas I & Jenkins KW. (2022). Analysing the sentiment of air-traveller: a comparative analysis. International Journal of Computer Theory and Engineering, 14(2)
- 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)
- 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, 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)
- Gurumdimma NY, Bisandu DB & Ojedayo E. Event extraction from textual data. Journal of Computer Science and Its Application, 26(1)
- Bisandu DB, Shalom A & LawanGambo F. MULTIMODAL BIOMETRIC AUTHENTICATION FOR A COMPUTER-BASED TEST (CBT) APPLICATION. International Research Journal of Computer Science, 7(7)
- 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)
- Eva O, Desmond B & Simon I. Sudoku Solving Ability and Intelligence. International Journal of Computer Applications, 178(43)
- Eva O, Desmond B & Dunka B. A Hybrid Backtracking and Pencil and Paper Sudoku Solver. International Journal of Computer Applications, 181(47)
- Bisandu DB, Datiri DD, Onokpasa E, Alams MT, Thomas GA, .... An Enhanced Text Mining Approach using Dynamic Programming. International Journal of Information Systems and Computer Sciences, 7(5)
Conference Papers
- Chai DM, Moulitsas I & Bisandu DB. (2024). Understanding the relevance of parallelising machine learning algorithms using CUDA for sentiment analysis
- 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
- Bisandu DB, Homaid M, Moulitsas I & Filippone S. (2021). A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective
Books
- Gambo FL, Wajiga GM, Garba EJ, Abdullahi AA & Bisandu DB. Ouaissa M, Ouaissa M, Himer SE & Boulouard Z (eds). (2021). A Deep Learning Solution for Learning Style Detection using Cognitive - Affective Features
- Gambo FL, Wajiga GM, Etemi Joshua G, Abdullahi AA & Bisandu DB. (2021). A deep learning solution for learning style detection using cognitive-affective features
