STAFF PROFILE
Dr Mohammad Saiedur Rahaman
Position:
Research Fellow
College / Portfolio:
School of Science Cluster
School / Department:
Computer Science and Information Tech
Phone:
+61416800303
Email:
saiedur.rahaman@rmit.edu.au
Campus:
Melbourne City Campus
Contact me about:
Research supervision
- Saiedur Rahaman, M.,Pare, H.,Liono, J.,Salim, F.,Ren, Y.,Chan, J.,Kudo, S.,Rawling, T.,Sinickas, A. (2019). OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kyoto, Japan, 11-15 March 2019
- Liono, J.,Trippas, J.,Spina, D.,Saiedur Rahaman, M.,Ren, Y.,Salim, F.,Sanderson, M.,Scholer, F.,White, R. (2019). Building a Benchmark for Task Progress in Digital Assistants In: Proceedings of Task Intelligence Workshop at WSDM 2019, Melbourne, Australia, February 11th--15th, 2019
- Saiedur Rahaman, M.,Hamilton, M.,Salim, F. (2018). Coact: A framework for context-aware trip planning using active transport In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Athens, Greece, 19-23 March 2018
- Saiedur Rahaman, M.,Ren, Y.,Hamilton, M.,Salim, F. (2018). Wait time prediction for airport taxis using weighted nearest neighbor regression In: IEEE Access, 6, 74660 - 74672
- Saiedur Rahaman, M.,Hamilton, M.,Salim, F. (2018). Using Big Spatial Data for Planning User Mobility In: Encyclopedia of Big Data Technologies, Springer International Publishing, Cham, Switzerland
- Rahaman, M.,Mei, Y.,Hamilton, M.,Salim, F. (2017). CAPRA: A contour-based accessible path routing algorithm In: Information Sciences, 385-386, 157 - 173
- Rahaman, S.,Hamilton, M.,Salim, F. (2017). Predicting Imbalanced Taxi and Passenger Queue Contexts in Airport In: PACIS 2017 PROCEEDINGS, Langkawi, Malaysia, 16-20 July, 2017
- Saiedur Rahaman, M.,Hamilton, M.,Salim, F. (2017). Queue Context Prediction Using Taxi Driver Knowledge In: Proceedings of the 9th International Conference on Knowledge Capture (K-CAP 2017), Austin, United States, 4-6 December 2017
Data mining and machine learning, Context-aware computing
1 PhD Current Supervisions