WHAT WE DO.

We have worked in your industry.

Defence

• EUREKA Prize 2019 finalists

• Franz Edelman Award - INFORMS 2020 semi-finalists

• Mak V., Hill B., Kirszenblat D., Moran B., Nguyen V. and Novak A. 2021, A simultaneous sequencing and allocation problem for military pilot training: Integer programming approaches, Computers and Industrial Engineering, vol. 154, pp. 1-11, doi: 10.1016/j.cie.2021.107161. A simultaneous sequencing and allocation problem for military pilot training: Integer programming approaches - ScienceDirect

• Hill B., Vukcevic D., Caelli T. and Novak A., "Insights Into the Health of Defence Simulated Workforce Systems Using Data Farming and Analytics, 2019 Winter Simulation Conference (WSC), National Harbor, MD, USA, 2019, pp. 2491-2502.

• Nguyen V., Moran B., Novak A., Mak V., Caelli T., Hill B. and Kirszenblat, D. 2018, Dancing links for optimal timetabling, Military operations research, vol. 23, no. 2, pp. 61-78, doi: 10.5711/1082598323261.

• Suvorova, S., Novak, A., Moran, B., and Caelli, T. (2019). The Use of Markov Decision Processes for Australian Naval Aviation Training Schedules. Military Operations Research, 24, 2, 31-46. The Use of Markov Decision Processes for Australian Naval Aviation Training Schedules on JSTOR

• Novak A., Tracey L., Nguyen V., Caelli T., “Evaluation of tendered solutions for scheduling problems with specific reference to a helicopter aviation training system”, Journal of Applied Operational Research 2017, Vol. 9, No.1, 54-66. Military Operations Research: Special Issue, Journal of Applied Operational ... - Google Books

• Novak, A., Armstrong, N., Caelli, T. and Blair, I. (2017) Bayesian contrast measures and clutter distribution determinants of human target detection IEEE Transactions on Image Processing, 26, 3: 1115-1126. Bayesian Contrast Measures and Clutter Distribution Determinants of Human Target Detection - PubMed (nih.gov)

• Cheng, Y., Wang, X., Caelli, T., and Moran, B.  (2011) Tracking and Localizing Moving Targets.

  in the Presence of Phase Measurement Ambiguities. IEEE Transactions on Signal Processing, 59, 8, 3514-3525.

Energy

1. Mbeutcha, Y., Gendreau, M. & Emiel, G. (2021). Benefit of PARMA Modeling for Long-Term Hydroelectric Scheduling Using Stochastic Dual Dynamic Programming. Journal of Water Resources Planning and Management, 147(3), 12 pages. Retrieved from https://doi.org/10.1061/(ASCE)WR.1943-5452.0001333

2. Malandra, F., Kizilkale, A.C., Sirois, F., Sanso, B., Anjos, M.F., Bernier, M., Gendreau, M. & Malhame, R.P. (2020). Smart Distributed Energy Storage Controller (smartDESC). Energy, 210, 10 pages. Retrieved from https://doi.org/10.1016/j.energy.2020.118500

3. Marchand, A., Gendreau, M., Blais, M. & Emiel, G. (2018). Fast near-optimal heuristic for the short-term hydro-generation planning problem. IEEE Transactions on Power Systems, 33(1), 227-235. Retrieved from https://doi.org/10.1109/tpwrs.2017.2696438

4. Froger, A., Gendreau, M., Mendoza, J.E., Pinson, É. & Rousseau, L.-M. (2016). Maintenance scheduling in the electricity industry: A literature review. European Journal of Operational Research, 251(3), 695-706. Retrieved from https://doi.org/10.1016/j.ejor.2015.08.045

5. Carpentier, P.-L., Gendreau, M. & Bastin, F. (2015). Managing hydroelectric reservoirs over an extended horizon using benders decomposition with a memory loss assumption. IEEE Transactions on Power Systems, 30(2), 563-572. Retrieved from https://doi.org/10.1109/TPWRS.2014.2332402

Logistics

• WCCI 2000 Electronic Vehicle Routing Problem 2nd place

• Moreno, A., Alem, D., Gendreau, M. & Munari, P. (2020). The heterogeneous multicrew scheduling and routing problem in road restoration. Transportation Research Part B: Methodological, 141, 24-58. Retrieved from https://doi.org/10.1016/j.trb.2020.09.002

• Cote, J.-F., Gendreau, M. & Potvin, J.-Y. (2020). The Vehicle Routing Problem with Stochastic Two-Dimensional Items. Transportation Science, 54(2), 453-469. Retrieved from https://doi.org/10.1287/trsc.2019.0904

• Gmira, M., Gendreau, M., Lodi, A. & Potvin, J.-Y. (2020). Travel speed prediction based on learning methods for home delivery. EURO Journal on Transportation and Logistics, 16 pages. Retrieved from https://doi.org/10.1016/j.ejtl.2020.100006

• Lannez, S., Artigues, C., Damay, J. & Gendreau, M. (2015). A railroad maintenance problem solved with a cut and column generation matheuristic. Networks, 66(1), 40-56. Retrieved from https://doi.org/10.1002/net.21605

• Rahimi-Vahed, A., Gabriel Crainic, T., Gendreau, M. & Rei, W. (2015). Fleet-sizing for multi-depot and periodic vehicle routing problems using a modular heuristic algorithm. Computers and Operations Research, 53, 9-23. Retrieved from https://doi.org/10.1016/j.cor.2014.07.004

• El Hachemi, N., El Hallaoui, I., Gendreau, M. & Rousseau, L.-M. (2015). Flow-based integer linear programs to solve the weekly log-truck scheduling problem. Annals of Operations Research, 232(1), 87-97. Retrieved from https://doi.org/10.1007/s10479-014-1527-4

Environment & Agriculture

1. Rachmawati, R. Ozlen, M. Hearne, J. W. Kuleshov, Y. “Using improved climate forecasting in cash crop planning”. In: SpringerPlus 3.1 (2014), p. 422.

   Horton, P. M. Hearne, J. W. Apaloo, J. Conlong, D. E. Way, M. J. Uys, P. “Investigating strategies for minimising damage caused by the sugarcane pest Eldana saccharina”. In: Agricultural Systems 74.2 (2002), pp. 271–286.

2. Xing, J., Sieber, R., Caelli, T. (2018). A Scale-invariant Change Detection Method for Land Use/Cover           Change Research. ISPRS Journal of Photogrammetry and Remote Sensing, 141, 252-264. 

3. Alrashidi, M. E. Hearne, J. W. McArthur, L. Zorzan, C. “Cooperative considerations for a mobile resource that transcends property boundaries”. In: Natural Resource Modeling 30.4 (2017). e12138, e12138–n/a. issn: 1939-7445. doi: 10.1111/nrm.12138. url: http://dx.doi.org/10.1111/nrm.12138.

4. Mwakiwa, E. Hearne, J. W. Stigter, J. D. De Boer, W. F. Henley, M. Slotow, R. Van Langevelde, F. Peel, M. Grant, C. C. Prins, H. H. “Optimization of net returns from wildlife consumptive and non-consumptive uses by game reserve management”. In: Environmental Conservation 43.02 (2016), pp. 128–139.

5. Zhou, J., Bai, X., and Caelli, T. ((2015) Computer Vision and Pattern Recognition in Environmental Informatics. IGI Global.

6. Kalácska, M., Sánchez-Azofeifa G. A., Caelli T., Rivard B., and Boerlage B. (2005) Estimating Leaf Area Index from Satellite Imagery using Bayesian Networks. IEEE Transactions on  Geoscience and Remote Sensing, 43, 8, 1866-1873. 

7. Hearne, J. Apaloo, J. “Resolving an issue arising from translocation strategy for saving the black rhino”. In: Journal of Mathematics, Statistics and Operations Research (JMSOR) 1.1 (2014).

8. Castro, K. L., Sánchez-Azofeifa, G.A, and Caelli, T.(2004).  Discrimination of lianas and trees with leaf-level hyperspectral data. Remote Sensing of Environment, 90, 3, 353-372.

9. Franke, A., Caelli, T. and Hudson, R.(2004). Analysis of Movements and Behaviour of Caribou (Rangifer tarandus) using Hidden Markov Models. Ecological Modeling, 173, 2-3, 259-270.

Health

1. Johns, H.  Hearne, J.  Bernhardt, J.   Churilov, L. “Clustering clinical and health care processes using a novel measure of dissimilarity for variable-length sequences of ordinal states“. In: Statistical Methods in Medical Research,  (2020), 0962280220917174.

2. Clay, N. M. Abbasi, B. Eberhard, A. Hearne, J. “On the volatility of blood inventories”. In: International Transactions in Operational Research 25.1 (2018), pp. 215–242. issn: 1475-3995. doi: 10.1111/itor.12326. url: http://dx. doi.org/10.1111/itor.12326.

3. Keshtkaran, M. Churilov, L. Hearne, J. Abbasi, B. Meretoja, A. “Validation of a decision support model for investigation and improvement in stroke thrombolysis”. In: European Journal of Operational Research 253.1 (2016), pp. 154–169.

4. Mahnam, M., Gendreau, M., Lahrichi, N. & Rousseau, L.M. (2017). Simultaneous delivery time and aperture shape optimization for the volumetric-modulated arc therapy (VMAT) treatment planning problem. Physics in Medicine and Biology, 62(14), 5589-5611. Retrieved from https://doi.org/10.1088/1361-6560/aa7447

5. Li, S., Caelli, T., Ferraro, M. and Pathirana, P.N.(2014) A novel bio-kinematic encoder for human exercise representation and decomposition - Part 1: Indexing and modelling. International Conference on Control, Automation and Information Sciences (ICCAIS).

6. Lee, Y., Pathirana, P., Steinfort, C., Caelli, T. (2014) Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar, IEEE Journal of Translational Engineering in Health and Medicine, 2, 1-14.

7. Jafari, N. Hearne, J. Churilov, L. “Why caution is recommended with post-hoc individual patient matching for estimation of treatment effect in parallel-group randomized controlled trials: The case of acute stroke trials”. In: Statistics in medicine 32.25 (2013), pp. 4467–4481.

Disaster Management

• Liberatore, Federico,   León. Javier,  Hearne, John,  Vitoriano, Begoña “Fuel management operations planning in fire management: A bilevel optimisation approach”. In: Safety Science 137, May 2021, 105181. https://doi.org/10.1016/j.ssci.2021.105181

• Loza-Hernandez, L. & Gendreau, M. (2020). A framework for assessing hazmat risk at nodes of transport networks. International Journal of Disaster Risk Reduction, 50, 13 pages. Retrieved from https://doi.org/10.1016/j.ijdrr.2020.101854

• León, J., Reijnders, V.M.J.J., Hearne, J.W. et al. “A Landscape-Scale Optimisation Model to Break the Hazardous Fuel Continuum While Maintaining Habitat Quality”. In: Environmental Modeling and Assessment (2018). https://doi.org/10.1007/s10666-018-9642-2

• Roozbeh, I. Ozlen, M. Hearne, J. W. “An Adaptive Large Neighbourhood Search for asset protection during escaped wildfires”. In: Computers & Operations Research 97 (2018), pp. 125–134.

• Rachmawati, R. Ozlen, M. Hearne, J. Reinke, K. “Fuel treatment planning: Fragmenting high fuel load areas while maintaining availability and connectivity of faunal habitat”. In: Applied Mathematical Modelling 54 (2018), pp. 298–310.

• van der Merwe, M. Ozlen, M. Hearne, J. W. Minas, J. P. “Dynamic rerouting of vehicles during cooperative wildfire response operations”. In: Annals of Operations Research 254.1 (2017), pp. 467–480. issn: 1572-9338. doi: 10.1007/s10479-017-2473-8. url: https://doi.org/10.1007/s10479-017-2473-8.

• Minas, J. P. Hearne, J. W. “An optimization model for aggregation of prescribed burn units”. In: Top 24.1 (2016), pp. 180–195.

• Rachmawati, R. Ozlen, M. Reinke, K. J. Hearne, J. W. “An optimisation approach for fuel treatment planning to break the connectivity of high-risk regions”. In: Forest Ecology and Management 368 (2016), pp. 94–104.

• Minas, J. P. Hearne, J. W. Martell, D. L. “A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts”. In: European Journal of Operational Research 232.2 (2014), pp. 412–422.