Research output per year
Research output per year
Personal profile
Biography
Edward is a Research Fellow in the Department of Data Science and Artificial Intelligence in the Faculty of Information Technology at Monash University, and contributes to the Analytics and Decision Sciences program at CSIRO Data61. His research in combinatorial optimization spans the disciplines of operations research in mathematics and artificial intelligence in computer science. He specializes in branch-and-cut-and-price algorithms for decompositions and hybridizations of mixed integer linear programming and constraint programming.
Further information can be found at ed-lam.com, the Faculty of IT's Optimisation website and Data61's Analytics and Decision Sciences program.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, PhD, University of Melbourne
Award Date: 1 Apr 2019
Mathematics and Statistics, BSc(Hons), University of Melbourne
Award Date: 1 Dec 2010
External positions
Visitor, CSIRO - Data61 (Victoria)
2017 → …
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Branch-and-cut-and-price for Multi-Agent Path Finding
Lam, E., Le Bodic, P., Harabor, D. & Stuckey, P. J., Aug 2022, In: Computers and Operations Research. 144, 13 p., 105809.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Branch-and-cut-and-price for the Electric Vehicle Routing Problem with Time Windows, Piecewise-Linear Recharging and Capacitated Recharging Stations
Lam, E., Desaulniers, G. & Stuckey, P. J., Sep 2022, In: Computers and Operations Research. 145, 16 p., 105870.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
An adaptive charging scheduling for electric vehicles using multiagent reinforcement learning
Lee, X-L., Yang, H-T., Tang, W., Toosi, A. N. & Lam, E., 2021, 19th International Conference, ICSOC 2021 Virtual Event, November 22–25, 2021 Proceedings. Hacid, H., Kao, O., Mecella, M., Moha, N. & Paik, H. (eds.). Cham Switzerland: Springer, p. 273-286 14 p. (Lecture Notes in Computer Science; vol. 13121).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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A scalable two stage approach to computing optimal decision sets
Ignatiev, A., Lam, E., Stuckey, P. & Marques-Silva, J., 2021, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI-21. Leyton-Brown, K. & M. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 3806-3814 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 35, no. 6).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus) -
ML4CO submission EFPP
Lam, E., de Nijs, F., Le Bodic, P. & Stuckey, P., 2021, Machine Learning for Combinatorial Optimization: NeurIPS 2021 Competition Workshop. San Diego CA USA: Neural Information Processing Systems (NIPS), 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
Open AccessFile
Prizes
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Doctoral Research Award
Lam, Edward (Recipient), 1 Oct 2019
Prize: Prize (including medals and awards)
Activities
- 1 Patents
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The Regents of the University of Michigan (External organisation)
Pascal Van Hentenryck (Inventor) & Edward Lam (Inventor)
20 Sep 2018Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent