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. (2022). Diverse distributed renewable energy trading paradigms: a business model review In: Journal of Environmental Planning and Management, 65, 1 - 36
- Peng, Y.,Song, A.,Ciesielski, V.,Abokela, H.,Chang, X. (2022). PRE-NAS: predictor-assisted evolutionary neural architecture search In: GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference, Boston, United States of America, 09/07/2022 -13/07/2022
- 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
- Banda, P.,Bhuiyan, M.,Hasan, K.,Zhang, K.,Song, A. (2021). Timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction In: Proceedings of the 21st annual International Conference on Computational Science - Part V (ICCS 2021), Krakow, Poland, 16-18 June 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
- Muehlbauer, M.,Burry, J.,Song, A. (2020). An aesthetic-based fitness measure and a framework for guidance of evolutionary design in architecture In: Proceedings of the 9th International Conference, Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2020), Seville, Spain, 15/04/2020-17/04/2020
- Liu, Y.,Shang, L.,Song, A. (2019). Dynamic Re-ranking with Deep Features Fusion for Person Re-identification In: Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), Cuvu, Yanuca Island, Fiji, 26 - 30 August 2019
- Predictive Modelling for Sports Data. Funded by: Innovation Connections grant - Cat 1 from (2023 to 2023)
- 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)
Note: Supervision projects since 2004
7 PhD Completions9 PhD Current Supervisions
Machine Learning. Learning in Mulit-agent Environment. Evolutionary computation. Texture Analysis