STAFF PROFILE
Associate Professor Andy Song
Position:
Associate Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399259761
Email:
andy.song@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
- Gunarathna, M.,Yang, R.,Song, A. (2021). (In Press) Diverse distributed renewable energy trading paradigms: a business model review In: Journal of Environmental Planning and Management, , 1 - 1
- Saiedur Rahaman, M.,Shao, W.,Salim, F.,Turky, A.,Song, A.,Chan, J.,Jiang, J.,Bradbrook, D. (2021). MoParkeR: Multi-objective Parking Recommendation In: Proceedings of the 33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021), Tampa, Florida, United States, 6-7July 2021
- Sabar, N.,Turky, A.,Song, A.,Sattar, A. (2020). An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction In: Applied Soft Computing Journal, 97, 1 - 8
- Turky, A.,Saiedur Rahaman, M.,Shao, W.,Salim, F.,Bradbrook, D.,Song, A. (2020). Deep Learning Assisted Memetic Algorithm for Shortest Route Problems In: ICCS 2020: Computational Science, Amsterdam, Netherlands, 3-5 June, 2020
- Sabar, N.,Bhaskar, A.,Chung, E.,Turky, A.,Song, A. (2020). An Adaptive Memetic Approach for Heterogeneous Vehicle Routing Problems with two-dimensional loading constraints In: Swarm and Evolutionary Computation, 58, 1 - 12
- Turky, A.,Sabar, N.,Dunstall, S.,Song, A. (2020). Hyper-heuristic local search for combinatorial optimisation problems In: Knowledge-Based Systems, 205, 1 - 13
- Sabar, N.,Bhaskar, A.,Chung, E.,Turky, A.,Song, A. (2019). A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion In: Swarm and Evolutionary Computation, 44, 1018 - 1027
- Li, M.,Wei, J.,Song, A.,Liu, Y. (2019). Objective Reduction Using Objective Sampling and Affinity Propagation for Many-Objective Optimization Problems In: IEEE Access, 7, 68392 - 68403
- Banda, P.,Bhuiyan, M.,Zhang, K.,Song, A. (2019). Transfer learning for leisure centre energy consumption prediction In: Proceedings of the 19th Annual International Conference on Computational Science - Part 1 (ICCS 2019), Faro, Portugal, 12–14 June 2019
- Banda, P.,Bhuiyan, M.,Zhang, K.,Song, A. (2018). Energy consumption prediction for recreation facilities using hybrid neuro-fuzzy inference systems In: Proceedings of the 9th International Congress on Environmental Modelling and Software (iEMSs 2018), Fort. Collins, Colorado, United States, 24-28 June 2018
- Mornington Peninsula Smart Parking and Amenities for High Demand Areas (administered by Mornington Peninsula Shire Council). Funded by: Smart Cities and Suburbs Program - 2017 onwards from (2019 to 2020)
- Data61 PhD Top-up Scholarship - Heterogeneous Framework for Constrained Optimisation. Funded by: Data61 (CSIRO contract) from (2017 to 2018)
- FWPA Data Aggregation Program - Data Security. Funded by: Forest and Wood Products RDC Projects Grant 2015 from (2015 to 2015)
- Planning and Learning in BDI Agents. Funded by: ARC Linkage Project 2005 Round 1 from (2005 to 2008)
- Improving Genetic Programming for Classification based on a Multiobjective Approach. Funded by: VPAC Expertise Grant pre-2014 from (2004 to 2005)
Note: Supervision projects since 2004
5 PhD Completions8 PhD Current Supervisions and 1 Masters by Research Current Supervisions
Machine Learning. Learning in Mulit-agent Environment. Evolutionary computation. Texture Analysis