Dignum, E., Boterman, W., Flache, A., & Lees, M. (2024). A data-driven agent-based model of primary school segregation in Amsterdam. Journal of Mathematical Sociology, 48(3), 362-392. https://doi.org/10.1080/0022250X.2024.2340136
Hazeleger, W., Aerts, J. P. M., Bauer, P., Bierkens, M. F. P., Camps-Valls, G., Dekker, M. M., Doblas-Reyes, F. J., Eyring, V., Finkenauer, C., Grundner, A., Hachinger, S., Hall, D. M., Hartmann, T., Iglesias-Suarez, F., Janssens, M., Jones, E. R., Kölling, T., Lees, M., Lhermitte, S., ... Vossepoel, F. C. (2024). Digital twins of the Earth with and for humans. Communications earth & environment, 5, Article 463. https://doi.org/10.1038/s43247-024-01626-x
Kwak, J., Lees, M. H., & Cai, W. (2024). Characterizing pedestrian contact interaction trajectories to understand spreading risk in human crowds. Journal of Computational Science, 81, Article 102358. https://doi.org/10.1016/j.jocs.2024.102358
van Elteren, C., Vasconcelos, V. V., & Lees, M. (2024). Criminal organizations exhibit hysteresis, resilience, and robustness by balancing security and efficiency. Scientific Reports, 14, Article 17678. https://doi.org/10.1038/s41598-024-68445-0[details]
van den Ende, M. W. J., Maijer, M., Lees, M. H., & van der Maas, H. L. J. (2024). Dynamics in and dynamics of networks using DyNSimF. Journal of Computational Science, 81, Article 102376. https://doi.org/10.1016/j.jocs.2024.102376[details]
van den Ende, M. W. J., van der Maas, H. L. J., Epskamp, S., & Lees, M. H. (2024). Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network. Scientific Reports, 14, Article 4499. https://doi.org/10.1038/s41598-024-54155-0[details]
Kwak, J., Lees, M. H., & Cai, W. (2023). Characterization of Pedestrian Contact Interaction Trajectories. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. 18-32). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8_2[details]
Nevin, J., Groth, P., & Lees, M. (2023). An approach for analysing the impact of data integration on complex network diffusion models. Journal of complex networks, 11(4), Article cnad025. https://doi.org/10.1093/comnet/cnad025[details]
Nevin, J., Lees, M. & Groth, P. (2022). NIDMod - Network Integration and Diffusion Modeller. GitHub. https://github.com/jim-g-n/nidmod
Nevin, J., Groth, P., & Lees, M. (2023). Data Integration Landscapes: The Case for Non-optimal Solutions in Network Diffusion Models. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. 494-508). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8_35[details]
Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2023). The dynamics of corruption under an optional external supervision service. Applied Mathematics and Computation, 457, Article 128172. https://doi.org/10.1016/j.amc.2023.128172[details]
Dignum, E., Athieniti, E., Boterman, W., Flache, A., & Lees, M. (2022). Mechanisms for increased school segregation relative to residential segregation: a model-based analysis. Computers, Environment and Urban Systems, 93, Article 101772. Advance online publication. https://doi.org/10.1016/j.compenvurbsys.2022.101772[details]
Helmus, J. R., Lees, M. H., & van den Hoed, R. (2022). A validated agent-based model for stress testing charging infrastructure utilization. Transportation Research Part A: Policy and Practice, 159, 237-262. https://doi.org/10.1016/j.tra.2022.03.028[details]
Helmus, J., Lees, M., & van den Hoed, R. (2022). Understanding Complexity in Charging Infrastructure through the Lens of Social Supply–Demand Systems. World Electric Vehicle Journal, 13(3), Article 44. https://doi.org/10.3390/wevj13030044[details]
Kwak, J., Lees, M. H., Cai, W., Pourghaderi, A. R., & Ong, M. E. H. (2022). Influence of committed volunteers on helping behavior in emergency evacuations. Journal of Physics: Complexity, 3(1), Article 015005. https://doi.org/10.1088/2632-072X/ac48a1[details]
Melnikov, V. R., Christopoulos, G. I., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2022). Behavioural thermal regulation explains pedestrian path choices in hot urban environments. Scientific Reports, 12, Article 2441. https://doi.org/10.1038/s41598-022-06383-5[details]
Pourghaderi, A. R., Kogtikov, N., Lees, M. H., Cai, W., Pek, P. P., Fu Wah Ho, A., Ming Ng, W., Kwak, J., Elgin White, A., Lynn Lim, S., Shao Wei Lam, S., & Eng Hock Ong, M. (2022). Maximum expected survival rate model for public access defibrillator placement. Resuscitation, 170, 213-221. https://doi.org/10.1016/j.resuscitation.2021.11.039[details]
Rutten, P., Lees, M. H., Klous, S., Heesterbeek, H., & Sloot, P. M. A. (2022). Modelling the dynamic relationship between spread of infection and observed crowd movement patterns at large scale events. Scientific Reports, 12, Article 14825. https://doi.org/10.1038/s41598-022-19081-z[details]
Su, B., Kwak, J., Pourghaderi, A. R., Lees, M. H., Tan, K. B. K., Loo, S. Y., Chua, I. S. Y., Quah, J. L. J., Cai, W., & Ong, M. E. H. (2022). Simulation-Based Analysis of Evacuation Elevator Allocation for a Multi-Level Hospital Emergency Department. In B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C. G. Corlu, L. H. Lee, E. P. Chew, T. Roeder, & P. Lendermann (Eds.), Proceedings of the 2022 Winter Simulation Conference: WSC : 11-14 Dec. 2022 (pp. 358-369). IEEE. https://doi.org/10.1109/WSC57314.2022.10015354[details]
Zhou, X., Belloum, A., Lees, M. H., van Engers, T., & de Laat, C. (2022). Costly incentives design from an institutional perspective: cooperation, sustainability and affluence. Proceedings of the Royal Society A-Mathematical, Physical and Engineering Sciences, 478(2265), Article 20220393. https://doi.org/10.1098/rspa.2022.0393[details]
van den Ende, M. W. J., Epskamp, S., Lees, M. H., van der Maas, H. L. J., Wiers, R. W., & Sloot, P. M. A. (2022). A review of mathematical modeling of addiction regarding both (neuro-) psychological processes and the social contagion perspectives. Addictive Behaviors, 127, Article 107201. Advance online publication. https://doi.org/10.1016/j.addbeh.2021.107201[details]
Karbovskii, V., Lees, M., Presbitero, A., Kurilkin, A., Voloshin, D., Derevitskii, I., Karsakov, A., & Sloot, P. M. A. (2021). Ensemble learning for large-scale crowd flow prediction. Engineering Applications of Artificial Intelligence, 106, Article 104469. https://doi.org/10.1016/j.engappai.2021.104469[details]
Kovalchuk, S. V., Krzhizhanovskaya, V. V., Paszyński, M., Závodszky, G., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2021). 20 years of computational science: Selected papers from 2020 International Conference on Computational Science. Journal of Computational Science, 53, Article 101395. https://doi.org/10.1016/j.jocs.2021.101395[details]
Kwak, J., Lees, M. H., Cai, W., Pourghaderi, A. R., & Ong, M. E. H. (2021). Estimating horizontal movement performance of patient beds and the impact on emergency evacuation time. Safety Science, 134, Article 105038. https://doi.org/10.1016/j.ssci.2020.105038[details]
Rutten, P., Lees, M. H., Klous, S., & Sloot, P. M. A. (2021). Intermittent and persistent movement patterns of dance event visitors in large sporting venues. Physica A: Statistical Mechanics and its Applications, 563, Article 125448. Advance online publication. https://doi.org/10.1016/j.physa.2020.125448[details]
Rutten, P., Lees, M. H., Klous, S., & Sloot, P. M. A. (2021). State-space models reveal bursty movement behaviour of dance event visitors. EPJ Data Science, 10, Article 35. https://doi.org/10.1140/epjds/s13688-021-00292-9[details]
Su, B., Kwak, J., Pourghaderi, A. R., Lees, M. H., Tan, K. B. K., Loo, S. Y., Chua, I. S. Y., Quah, J. L. J., Cai, W., & Ong, M. E. H. (2021). A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments. In S. Kim, B. Feng, K. Smith, S. Masoud, Z. Zheng, C. Szabo, & M. Loper (Eds.), 2021 Winter Simulation Conference (WSC 2021): Phoenix, Arizona, 12-15 December 2021 (pp. 1583-1594). IEEE. https://doi.org/10.1109/WSC52266.2021.9715522[details]
van der Wal, J., van Borkulo, C. D., Deserno, M. K., Breedvelt, J. J. F., Lees, M., Lokman, J. C., Borsboom, D., Denys, D., van Holst, R. J., Smidt, M. P., Stronks, K., Lucassen, P. J., van Weert, J. C. M., Sloot, P. M. A., Bockting, C. L., & Wiers, R. W. (2021). Advancing urban mental health research: from complexity science to actionable targets for intervention. The Lancet. Psychiatry, 8(11), 991-1000. https://doi.org/10.1016/S2215-0366(21)00047-X[details]
Cardoso, P. J. S., Rodrigues, J. M. F., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2020). Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. Journal of Computational Science, 47, Article 101222. https://doi.org/10.1016/j.jocs.2020.101222[details]
Derevitskii, I., Kogtikov, N., Lees, M. H., Cai, W., & Ong, M. E. H. (2020). Risk-based AED placement - Singapore case. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. IV, pp. 577-590). (Lecture Notes in Computer Science; Vol. 12140). Springer. https://doi.org/10.1007/978-3-030-50423-6_43[details]
Helmus, J. R., Lees, M. H., & van den Hoed, R. (2020). A data driven typology of electric vehicle user types and charging sessions. Transportation Research. Part C, Emerging Technologies, 115, Article 102637. Advance online publication. https://doi.org/10.1016/j.trc.2020.102637[details]
Kwak, J., Lees, M. H., Cai, W., & Ong, M. E. H. (2020). Modeling helping behavior in emergency evacuations using volunteer’s dilemma game. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. I, pp. 513-523). (Lecture Notes in Computer Science; Vol. 12137). Springer. https://doi.org/10.1007/978-3-030-50371-0_38[details]
Melnikov, V. R., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2020). The impact of pace of life on pedestrian heat stress: A computational modelling approach. Environmental Research, 186, Article 109397. Advance online publication. https://doi.org/10.1016/j.envres.2020.109397[details]
Lees, M., Sloot, P. M. A., Krzhizhanovskaya, V. V. & Melnikov, V. (2020). Walking speeds in relation to climate in Singapore. Mendeley Data. https://doi.org/10.17632/k5rf27hnhk.1
Roy, D., Bernal, D., & Lees, M. (2020). An exploratory factor analysis model for slum severity index in Mexico City. Urban Studies, 57(4), 789-805. Advance online publication. https://doi.org/10.1177/0042098019869769[details]
Severiukhina, O., Kesarev, S., Bochenina, K., Boukhanovsky, A., Lees, M. H., & Sloot, P. M. A. (2020). Large-scale forecasting of information spreading. Journal of Big Data, 7, Article 72. https://doi.org/10.1186/s40537-020-00350-5[details]
Georgievska, S., Rutten, P., Amoraal, J., Ranguelova, E., Bakhshi, R., de Vries, B. L., Lees, M., & Klous, S. (2019). Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach. Journal of Big Data, 6, Article 31. https://doi.org/10.1186/s40537-019-0194-3[details]
Karbovskii, V., Severiukhina, O., Derevitskii, I., Voloshin, D., Presbitero, A., & Lees, M. (2019). The impact of different obstacles on crowd dynamics. Journal of Computational Science, 36, Article 100893. Advance online publication. https://doi.org/10.1016/j.jocs.2018.06.010[details]
Kovalchuk, S. V., Krzhizhanovskaya, V. V., Shi, Y., Fua, H., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2019). Science at the intersection of data, modelling, and computation. Journal of Computational Science, 34, 117-119. https://doi.org/10.1016/j.jocs.2019.05.005[details]
Ranguelova, E., Weel, B., Roy, D., Kuffer, M., Pfeffer, K., & Lees, M. (2019). Image Based Classification of Slums, Built-Up and Non-Built-Up Areas in Kalyan and Bangalore, India. European Journal of Remote Sensing, 52(S1), 40-61. Advance online publication. https://doi.org/10.1080/22797254.2018.1535838[details]
Vermeulen, I., Helmus, J. R., Lees, M., & van den Hoed, R. (2019). Simulation of future electric vehicle charging behavior—effects of transition from PHEV to FEV. World Electric Vehicle Journal, 10(2), Article 42. https://doi.org/10.3390/wevj10020042[details]
Abuhay, T. M., Kovalchuk, S. V., Bochenina, K., Mbogo, G.-K., Visheratin, A. A., Kampis, G., Krzhizhanovskaya, V. V., & Lees, M. H. (2018). Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory. Journal of Computational Science, 26, 193-204. https://doi.org/10.1016/j.jocs.2018.04.004[details]
Ivanchev, J., Costache Litescu, S., Zehe, D., Lees, M., Aydt, H., & Knoll, A. (2018). Hard and Soft Closing of Roads Towards Socially Optimal Routing. In 2018 IEEE Intelligent Transportation Systems Conference: November 4-7, Maui, Hawaii (pp. 3499-3504). (ITSC). IEEE. https://doi.org/10.1109/ITSC.2018.8569694[details]
Kovalchuk, S. V., Krzhizhanovskaya, V. V., Koumoutsakos, P., Chatzi, E., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2018). The art of computational science: Bridging gaps – forming alloys. Journal of Computational Science, 26, 190-192. https://doi.org/10.1016/j.jocs.2018.04.014[details]
Melnikov, V., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2018). System dynamics of human body thermal regulation in outdoor environments. Building and Environment, 143, 760-769. https://doi.org/10.1016/j.buildenv.2018.07.024[details]
Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2018). Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru. Cities : The International Journal of Urban Policy and Planning, 74, 269-276. Advance online publication. https://doi.org/10.1016/j.cities.2017.12.014[details]
Roy, D., Palavalli, B., Menon, N., King, R., Pfeffer, K., Lees, M., & Sloot, P. M. A. (2018). Survey-based socio-economic data from slums in Bangalore, India. Scientific Data, 5, Article 170200. https://doi.org/10.1038/sdata.2017.200[details]
King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
2017
Abuhay, T. M., Kovalchuk, S. V., Bochenina, K. O., Kampis, G., Krzhizhanovskaya, V. V., & Lees, M. H. (2017). Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. Procedia Computer Science, 108, 7-17. https://doi.org/10.1016/j.procs.2017.05.183[details]
Koumoutsakos, P., Chatzi, E., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J., & Sloot, P. M. A. (2017). The Art of Computational Science, Bridging Gaps - Forming Alloys: Preface for ICCS 2017. Procedia Computer Science, 108, 1-2. https://doi.org/10.1016/j.procs.2017.05.281[details]
Kovalchuk, S. V., Abuhay, T. M., Altintas, I., Norman, M. L., Lees, M. H., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2017). Data through the Computational Lens. Journal of Computational Science, 20, 81-84. https://doi.org/10.1016/j.jocs.2017.05.003[details]
Luo, L., Yin, H., Cai, W., Zhong, J., & Lees, M. (2017). Design and evaluation of a data-driven scenario generation framework for game-based training. IEEE Transactions on Computational Intelligence and AI in Games, 9(3), 213-226. Advance online publication. https://doi.org/10.1109/TCIAIG.2016.2541168[details]
Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2017). Modelling the impact of household life cycle on slums in Bangalore. Computers, Environment and Urban Systems, 64, 275-287. https://doi.org/10.1016/j.compenvurbsys.2017.03.008[details]
Severiukhina, O., Voloshin, D., Lees, M. H., & Karbovskii, V. (2017). The study of the influence of obstacles on crowd dynamics. Procedia Computer Science, 108, 215-224. https://doi.org/10.1016/j.procs.2017.05.162[details]
Xu, Y., Cai, W., Aydt, H., Lees, M., & Zehe, D. (2017). Relaxing Synchronization in Parallel Agent-Based Road Traffic Simulation. ACM Transactions on Modeling and Computer Simulation, 27(2), Article 14. Advance online publication. https://doi.org/10.1145/2994143[details]
Zhong, J., Cai, W., Lees, M., & Luo, L. (2017). Automatic model construction for the behavior of human crowds. Applied Soft Computing, 56, 368-378. Advance online publication. https://doi.org/10.1016/j.asoc.2017.03.020[details]
2016
Altintas, I., Norman, M., Lees, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2016). Data through the Computational Lens, Preface for ICCS 2016. Procedia Computer Science, 80, 1-7. https://doi.org/10.1016/j.procs.2016.05.426[details]
Melnikov, V. R., Krzhizhanovskaya, V. V., Lees, M. H., & Boukhanovsky, A. V. (2016). Data-driven Travel Demand Modelling and Agent-based Traffic Simulation in Amsterdam Urban Area. Procedia Computer Science, 80, 2030-2041. https://doi.org/10.1016/j.procs.2016.05.523[details]
Viswanathan, V., Lees, M., & Sloot, P. M. A. (2016). The influence of memory on indoor environment exploration: A numerical study. Behavior Research Methods, 48(2), 621-639. Advance online publication. https://doi.org/10.3758/s13428-015-0604-1[details]
Abramson, D., Krzhizhanovskaya, V. V., & Lees, M. (2015). Perspectives of the International Conference of Computational Science 2014. Journal of Computational Science, 10, 247-248. https://doi.org/10.1016/j.jocs.2015.08.007[details]
Borgdorff, J., Krishna, H., & Lees, M. H. (2015). SIM-CITY: An e-Science Framework for Urban Assisted Decision Support. Procedia Computer Science, 51, 2327-2336. https://doi.org/10.1016/j.procs.2015.05.399[details]
Koziel, S., Leifsson, L., Lees, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2015). Computational Science at the Gates of Nature, preface for ICCS 2015. Procedia Computer Science, 51, 1-8. https://doi.org/10.1016/j.procs.2015.05.177[details]
Litescu, S., Viswanathan, V., Lees, M., Knoll, A., & Aydt, H. (2015). Information impact on transportation systems. Journal of Computational Science, 9, 88-93. https://doi.org/10.1016/j.jocs.2015.04.019[details]
Luo, L., Cai, W., Zhou, S., Lees, M., & Yin, H. (2015). A review of interactive narrative systems and technologies: a training perspective. Simulation, 91(2), 126-147. https://doi.org/10.1177/0037549714566722[details]
Mei, S., Chen, B., Zhu, Y., Lees, M. H., Boukhanovsky, A. V., & Sloot, P. M. A. (2015). Simulating city-level airborne infectious diseases. Computers, Environment and Urban Systems, 51, 97-105. https://doi.org/10.1016/j.compenvurbsys.2014.12.002[details]
Mei, S., Zarrabi, N., Lees, M., & Sloot, P. M. A. (2015). Complex agent networks: An emerging approach for modeling complex systems. Applied Soft Computing, 37, 311-321. Advance online publication. https://doi.org/10.1016/j.asoc.2015.08.010[details]
Pelzer, D., Xiao, J., Zehe, D., Lees, M. H., Knoll, A. C., & Aydt, H. (2015). A partition-based match making algorithm for dynamic ridesharing. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2587-2598. Advance online publication. https://doi.org/10.1109/TITS.2015.2413453[details]
Wagner, M., Cai, W., Lees, M., & Aydt, H. (2015). Evolving agent-based models using self-adaptive complexification. Journal of Computational Science, 10, 351-359. https://doi.org/10.1016/j.jocs.2015.03.005[details]
Xu, Y., Cai, W., Aydt, H., Lees, M., & Zehe, D. (2015). An Asynchronous Synchronization Strategy for Parallel Large-scale Agent-based Traffic Simulations. In SIGSIM-PADS'15: proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation : June 10-12, 2015, London, UK (pp. 259-269). Association for Computing Machinery. https://doi.org/10.1145/2769458.2769461[details]
Zhong, J., Hu, N., Cai, W., Lees, M., & Luo, L. (2015). Density-based evolutionary framework for crowd model calibration. Journal of Computational Science, 6, 11-22. https://doi.org/10.1016/j.jocs.2014.09.002[details]
2014
Aydt, H., Lees, M. H., Turner, S. J., & Cai, W. (2014). Toward Simulation-Based Egress Optimization in Smart Buildings Using Symbiotic Simulation. In U. Weidmann, U. Kirsch, & M. Schreckenberg (Eds.), Pedestrian and Evacuation Dynamics 2012 (pp. 987-999). Springer. https://doi.org/10.1007/978-3-319-02447-9_82[details]
Duan, W., Quax, R., Lees, M., Qiu, X., & Sloot, P. M. A. (2014). Topology dependent epidemic spreading velocity in weighted networks. Journal of Statistical Mechanics : Theory and Experiment, 2014(12), Article P12020. https://doi.org/10.1088/1742-5468/2014/12/P12020[details]
Luo, L., Yin, H., Cai, W., Lees, M., Othman, N. B., & Zhou, S. (2014). Towards a data-driven approach to scenario generation for serious games. Computer Animation and Virtual Worlds, 25(3-4), 393-402. https://doi.org/10.1002/cav.1588[details]
Mordvintsev, A. S., Krzhizhanovskaya, V. V., Lees, M. H., & Sloot, P. M. A. (2014). Simulation of City Evacuation Coupled to Flood Dynamics. In U. Weidmann, U. Kirsch, & M. Schreckenberg (Eds.), Pedestrian and Evacuation Dynamics 2012 (pp. 485-499). Springer. https://doi.org/10.1007/978-3-319-02447-9_40[details]
Roy, D., Lees, M. H., Palavalli, B., Pfeffer, K., & Sloot, M. A. P. (2014). The emergence of slums: A contemporary view on simulation models. Environmental Modelling & Software, 59, 76-90. https://doi.org/10.1016/j.envsoft.2014.05.004[details]
Teo, Y. H. A., Viswanathan, V., Lees, M., & Cai, W. (2014). Analysing the Effectiveness of Wearable Wireless Sensors in Controlling Crowd Disasters. Procedia Computer Science, 29, 1590-1599. https://doi.org/10.1016/j.procs.2014.05.144[details]
Viswanathan, V., Lee, C. E., Lees, M. H., Cheong, S. A., & Sloot, P. M. A. (2014). Quantitative Comparison Between Crowd Models for Evacuation Planning and Evaluation. The European Physical Journal B. Condensed Matter Physics, 87(2), 27. Article 27. https://doi.org/10.1140/epjb/e2014-40699-x[details]
Xu, Y., Cai, W., Aydt, H., & Lees, M. (2014). Efficient graph-based dynamic load-balancing for parallel large-scale agent-based traffic simulation. In A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, & J. A. Miller (Eds.), Proceedings of the 2014 Winter Simulation Conference: exploring big data through simulation: December 7-10, 2014, Westin Savannah Harbor Resort, Savannah, GA (pp. 3483-3494). IEEE. https://doi.org/10.1109/WSC.2014.7020180[details]
Zhong, J., Cai, W., Luo, L., & Lees, M. (2014). EA-based evacuation planning using agent-based crowd simulation. In A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, & J. A. Miller (Eds.), Proceedings of the 2014 Winter Simulation Conference: exploring big data through simulation: December 7-10, 2014, Westin Savannah Harbor Resort, Savannah, GA (pp. 395-406). IEEE. https://doi.org/10.1109/WSC.2014.7019906[details]
Zhong, J., Luo, L., Cai, W., & Lees, M. (2014). Automatic Rule Identification for Agent-Based Crowd Models Through Gene Expression Programming. In A. Lomuscio, P. Scerri, A. Bazzan, & M. Huhns (Eds.), AAMAS '14: proceedings of the 2014 International Conference on Autonomous Agents & Multiagent Systems: May 5-9, 2014, Paris, France (pp. 1125-1132). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=2617388.2617425[details]
2013
Adamatzky, A., Lees, M., & Sloot, P. (2013). Bio-development of motorway networks in the Netherlands: a slime mould approach. Advances in Complex Systems, 16(02n03), 2326-0386. Article 1250034. Advance online publication. https://doi.org/10.1142/S0219525912500348[details]
Alexandrov, V., Lees, M., Krzhizhanovskaya, V., Dongarra, J., & Sloot, P. M. A. (2013). Computation at the Frontiers of Science, preface for ICCS 2013. Procedia Computer Science, 18, 1-9. https://doi.org/10.1016/j.procs.2013.05.163[details]
Aydt, H., Xu, Y., Lees, M., & Knoll, A. (2013). A Multi-threaded Execution Model for the Agent-based SEMSim Traffic Simulation. In G. Tan, G. K. Yeo, S. J. Turner, & Y. M. Teo (Eds.), AsiaSim 2013: 13th International Conference on Systems Simulation, Singapore, November 6-8, 2013 : proceedings (pp. 1-12). (Communications in Computer and Information Science; Vol. 402). Springer. https://doi.org/10.1007/978-3-642-45037-2_1[details]
Hu, N., Lees, M. H., & Zhou, S. (2013). A pattern-based modeling framework for simulating human-like pedestrian steering behaviors. In S. N. Spencer (Ed.), VRST 2013 : proceedings: Nanyang Technological University, Singapore, October 6-9, 2013 (pp. 179-188). Association for Computing Machinery. https://doi.org/10.1145/2503713.2503723[details]
Luo, L., Yin, H., Cai, W., Lees, M., & Zhou, S. (2013). Interactive scenario generation for mission-based virtual training. Computer Animation and Virtual Worlds, 24(3-4), 345-354. Advance online publication. https://doi.org/10.1002/cav.1525[details]
Viswanathan, V., & Lees, M. (2013). Modeling and analyzing the human cognitive limits for perception in crowd simulation. In M. L. Gavrilova, & C. J. K. Tan (Eds.), Transactions on Computational Science XVII (pp. 51-72). (Lecture Notes in Computer Science; Vol. 7420). Springer. https://doi.org/10.1007/978-3-642-35840-1_3[details]
Wagner, M., Cai, W., & Lees, M. H. (2013). Emergence by strategy: Flocking boids and their fitness in relation to model complexity. In R. Pasupathy, S-H. Kim, A. Tolk, R. Hill, & M. E. Kuhl (Eds.), Proceedings of the 2013 Winter Simulation Conference: Simulation : making decisions in a complex world : December 8-11, 2013, JW Marriott, Washington, DC (pp. 1479-1490). (WSC; Vol. 2013). IEEE. https://doi.org/10.1109/WSC.2013.6721532[details]
Xiao, J., Aydt, H., Lees, M., & Knoll, A. (2013). A partition based match making algorithm for taxi sharing. In 2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC): Intelligent Transportation Systems for All Modes : October 6-9, 2013, Kurhaus, The Hague, The Netherlands (pp. 2393-2400). IEEE. https://doi.org/10.1109/ITSC.2013.6728585[details]
Zehe, D., Aydt, H., Lees, M., & Knoll, A. (2013). JavaScript distributed agent based discrete event simulation. In Proceedings - 17th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2013 (pp. 21-29). Article 6690490 (Proceedings - IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DS-RT.2013.11
2012
Adamatzky, A., Lees, M., & Sloot, P. M. A. (2012). Physarum in the Netherlands: responding to the flood. In A. Adamatzky (Ed.), Bioevaluation of world transport networks (pp. 213-234). World Scientific. http://www.worldscibooks.com/chaos/8482.html[details]
Aydt, H., Lees, M., & Knoll, A. (2012). Symbiotic simulation for future electro-mobility transportation systems. In Proceedings of the 2012 Winter Simulation Conference, WSC 2012 Article 6465312 IEEE. https://doi.org/10.1109/WSC.2012.6465312
Fozard, J. A., Lees, M., King, J. R., & Logan, B. S. (2012). Inhibition of quorum sensing in a computational biofilm simulation. Biosystems, 109(2), 105-114. https://doi.org/10.1016/j.biosystems.2012.02.002
Wang, Y., Lees, M., & Cai, W. (2012). Grid-based partitioning for large-scale distributed agent-based crowd simulation. In Proceedings of the 2012 Winter Simulation Conference, WSC 2012 Article 6465161 IEEE. https://doi.org/10.1109/WSC.2012.6465161
Xing, P., Lees, M., Nan, H., & Viswanthatn, T. V. (2012). Validation of agent-based simulation through human computation: An example of crowd simulation. In Multi-Agent-Based Simulation XII - International Workshop, MABS 2011, Revised Selected Papers (pp. 90-102). (Lecture Notes in Computer Science; Vol. 7124), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-28400-7_7
Xu, Y., Aydt, H., & Lees, M. (2012). SEMSim: A distributed architecture for multi-scale traffic simulation. In Proceedings - 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, PADS 2012 (pp. 178-180). Article 6305906 IEEE. https://doi.org/10.1109/PADS.2012.40
Zhang, T., Lees, M., Kwoh, C. K., Fu, X., Lee, G. K. K., & Goh, R. S. M. (2012). A contact-network-based simulation model for evaluating interventions under 'what-if' scenarios in epidemic. In Proceedings of the 2012 Winter Simulation Conference, WSC 2012 Article 6465056 IEEE. https://doi.org/10.1109/WSC.2012.6465056
2011
Hu, N., Lees, M., Zhou, S., & Viswanathan T., V. (2011). Pattern based motion for crowd simulation. In Z. Pan (Ed.), Transactions on Edutainment VI (pp. 99-110). (Lecture Notes in Computer Science; Vol. 6758). Springer. https://doi.org/10.1007/978-3-642-22639-7_11
Luo, L., Zhou, S., Cai, W., Lees, M., Low, M. Y. H., & Sornum, K. (2011). HumDPM: A decision process model for modeling human-like behaviors in time-critical and uncertain situations. In Transactions on Computational Science XII - Special Issue on Cyberworlds (pp. 206-230). (Lecture Notes in Computer Science; Vol. 6670). Springer. https://doi.org/10.1007/978-3-642-22336-5_11
Stevens, D., Power, H., Lees, M., & Morvan, H. (2011). A local hermitian RBF meshless numerical method for the solution of multi-zone problems. Numerical Methods for Partial Differential Equations, 27(5), 1201-1230. https://doi.org/10.1002/num.20577
Vaisagh Viswanathan, T., & Lees, M. (2011). An information-based perception model for agent-based crowd and egress simulation. In Proceedings - 2011 International Conference on Cyberworlds, Cyberworlds 2011 (pp. 38-45). Article 6079344 IEEE. https://doi.org/10.1109/CW.2011.10
Zhang, T., Fu, X., Kwoh, C. K., Xiao, G., Wong, L., Ma, S., Soh, H., Lee, G. K. K., Hung, T., & Lees, M. (2011). Temporal factors in school closure policy for mitigating the spread of influenza. Journal of Public Health Policy, 32(2), 180-197. https://doi.org/10.1057/jphp.2011.1
2010
Chen, D., Turner, S. J., Cai, W., Theodoropoulos, G. K., Xiong, M., & Lees, M. (2010). Synchronization in federation community networks. Journal of Parallel and Distributed Computing, 70(2), 144-159. https://doi.org/10.1016/j.jpdc.2009.10.006
Luo, L., Zhou, S., Cai, W., Lees, M., Yoke, M., & Low, H. (2010). Modeling human-like decision making for virtual agents in time-critical situations. In Proceedings - 2010 International Conference on Cyberworlds, CW 2010 (pp. 360-367). Article 5655146 IEEE. https://doi.org/10.1109/CW.2010.61
Orsini, P., Power, H., Morvan, H., & Lees, M. (2010). An implicit upwinding volume element method based on meshless radial basis function techniques for modelling transport phenomena. International Journal for Numerical Methods in Engineering, 81(1), 1-27. https://doi.org/10.1002/nme.2682
Tran, H. N. L., Sornum, K., Seah, H. S., Cai, W., Low, M. Y. H., Zhou, S., & Lees, M. (2010). A systematic approach for rapid 3D reconstruction from photosets. In 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 (pp. 1167-1174). Article 5707388 IEEE. https://doi.org/10.1109/ICARCV.2010.5707388
Xiong, M., Lees, M., Cai, W., Zhou, S., & Low, M. Y. H. (2010). Analysis of an efficient rule-based motion planning system for simulating human crowds. Visual Computer, 26(5), 367-383. https://doi.org/10.1007/s00371-010-0421-6
Xiong, M., Lees, M., Cai, W., Zhou, S., & Low, M. Y. H. (2010). Hybrid modelling of crowd simulation. Procedia Computer Science, 1(1), 57-65. https://doi.org/10.1016/j.procs.2010.04.008
2009
Lees, M., Logan, B., & Theodoropoulos, G. (2009). Analysing probabilistically constrained optimism. Concurrency Computation Practice and Experience, 21(11), 1467-1482. https://doi.org/10.1002/cpe.1397
Luo, L., Zhou, S., Cai, W., Low, M. Y. H., & Lees, M. (2009). Toward a generic framework for modeling human behaviors in crowd simulation. In Proceedings - 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2009 (Vol. 2, pp. 275-278). Article 5284829 IEEE. https://doi.org/10.1109/WI-IAT.2009.163
Orsini, P., Power, H., Lees, M., & Morvan, H. (2009). A control volume radial basis function techniques for the numerical simulation of saturated flows in semi-confined aquifer. Transport in Porous Media, 79(2), 171-196. https://doi.org/10.1007/s11242-008-9304-y
Stevens, D., Power, H., Lees, M., & Morvan, H. (2009). A meshless solution technique for the solution of 3D unsaturated zone problems, based on local hermitian interpolation with radial basis functions. Transport in Porous Media, 79(2), 149-169. https://doi.org/10.1007/s11242-008-9303-z
Stevens, D., Power, H., Lees, M., & Morvan, H. (2009). The use of PDE centres in the local RBF Hermitian method for 3D convective-diffusion problems. Journal of computational Physics, 228(12), 4606-4624. https://doi.org/10.1016/j.jcp.2009.03.025
Wang, Y., Lees, M., Cai, W., Zhou, S., & Low, M. Y. H. (2009). Cluster based partitioning for agent-based crowd simulations. In Proceedings of the 2009 Winter Simulation Conference, WSC 2009 (pp. 1047-1058). Article 5429649 IEEE. https://doi.org/10.1109/WSC.2009.5429649
Xiong, M., Lees, M., Cai, W., Zhou, S., & Low, M. Y. H. (2009). A rule-based motion planning for crowd simulation. In 2009 International Conference on CyberWorlds, CW '09 (pp. 88-95). Article 5279688 IEEE. https://doi.org/10.1109/CW.2009.32
2008
Chen, D., Ewald, R., Theodoropoulos, G. K., Minson, R., Oguara, T., Lees, M., Logan, B., & Uhrmacher, A. M. (2008). Data access in distributed simulations of multi-agent systems. Journal of Systems and Software, 81(12), 2345-2360. https://doi.org/10.1016/j.jss.2008.04.041
Dinh, T. T. A., Lees, M., Theodoropoulos, G., & Minson, R. (2008). Large scale distributed simulation of p2p networks. In Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing, PDP 2008 (pp. 499-507). Article 4457163 IEEE. https://doi.org/10.1109/PDP.2008.67
Lees, M., Logan, B., & Theodoropoulos, G. (2008). Using Access Patterns to Analyze the Performance of Optimistic Synchronization Algorithms in Simulations of MAS. Simulation, 84(10-11), 481-492. https://doi.org/10.1177/0037549708096691
2007
Lees, M., Logan, B., & King, J. (2007). Multiscale models of bacterial populations. In Proceedings of the 2007 Winter Simulation Conference, WSC (pp. 881-890). Article 4419684 (Proceedings - Winter Simulation Conference). IEEE. https://doi.org/10.1109/WSC.2007.4419684
Lees, M., Logan, B., & Theodoropoulos, G. (2007). Distributed simulation of agent-based systems with HLA. ACM Transactions on Modeling and Computer Simulation, 17(3), Article 1243992. https://doi.org/10.1145/1243991.1243992
2005
Lees, M., Logan, B., Minson, R., Oguara, T., & Theodoropoulos, G. (2005). Modelling environments for distributed simulation. In E4MAS Workshop in AAMAS Proceedings (pp. 150-167). (Subseries of Lecture Notes in Computer Science; Vol. 3374), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-540-32259-7_8
2004
Lees, M., Logan, B., Oguara, T., & Theodoropoulos, G. (2004). HLA_GENT: Distributed simulation of agent-based systems with HLA. In M. Bubak, G. D. van Albada, P. M. A. Sloot, & J. J. Dongarra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 881-888). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3038). Springer Verlag. https://doi.org/10.1007/978-3-540-24688-6_113
2020
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12137). Springer. https://doi.org/10.1007/978-3-030-50371-0[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. II, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12138). Springer. https://doi.org/10.1007/978-3-030-50417-5[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. III, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12139). Springer. https://doi.org/10.1007/978-3-030-50420-5[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. IV, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12140). Springer. https://doi.org/10.1007/978-3-030-50423-6[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. V, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12141). Springer. https://doi.org/10.1007/978-3-030-50426-7[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. VI, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12142). Springer. https://doi.org/10.1007/978-3-030-50433-5[details]
Krzhizhanovskaya, V. V., Závodszky, G., Lees, M., Dongarra, J., Sloot, P. M. A., Brissos, S., & Teixeira, J. (2020). Preface: Twenty Years of Computational Science. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. VII, pp. v-vi). (Lecture Notes in Computer Science; Vol. 12143). Springer. https://doi.org/10.1007/978-3-030-50436-6[details]
2019
Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J. J., & Sloot, P. M. A. (2019). Preface. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 11536). Springer. https://doi.org/10.1007/978-3-030-22734-0[details]
2018
Glombek, M., Helmus, J. R., Lees, M., van den Hoed, R., & Quax, R. (2018). Vulnerability Of Charging Infrastructure, A Novel Approach For Improving Charging Station Deployment. In Proceedings of 7th Transport Research Arena TRA 2018: April 16-19, 2018, Vienna, Austria Vienna 2018 TRA. https://doi.org/10.5281/zenodo.1483469[details]
Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2018). Preface. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : Proceedings, Part II (Vol. 2, pp. V-VI). (Lecture Notes in Computer Science; Vol. 10861). Springer. https://doi.org/10.1007/978-3-319-93701-4[details]
Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V. V., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2018). Preface. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. 1, pp. V-VI). (Lecture Notes in Computer Science; Vol. 10860). Springer. https://doi.org/10.1007/978-3-319-93698-7[details]
Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J., & Sloot, P. M. A. (2018). Preface. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. 3, pp. V-VI). (Lecture Notes in Computer Science; Vol. 10862). Springer. https://doi.org/10.1007/978-3-319-93713-7[details]
2017
Koumoutsakos, P., Lees, M., Krzhizhanovskaya, V., Dongarra, J., & Sloot, P. (Eds.) (2017). International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. (Procedia Computer Science; Vol. 108). Elsevier. http://www.sciencedirect.com/science/journal/18770509/108/[details]
Viswanathan, V., Lees, M., & Sloot, P. M. A. (2017). Erratum to: The influence of memory on indoor environment exploration: A numerical study (Behav Res, 10.3758/s13428-015-0604-1). Behavior Research Methods, 49(4), 1569. https://doi.org/10.3758/s13428-016-0781-6
2016
Altintas, I., Norman, M., Dongarra, J., Krzhizhanovskaya, V. V., Lees, M., & Sloot, P. M. A. (Eds.) (2016). International Conference on Computational Science 2016, ICCS 2016: 6-8 June 2016, San Diego, California, USA. (Procedia Computer Science; Vol. 80). Elsevier. http://www.sciencedirect.com/science/journal/18770509/80[details]
2014
Abramson, D., Lees, M., Krzhizhanovskaya, V. V., Dongarra, J., & Sloot, P. M. A. (2014). Big Data Meets Computational Science: preface for ICCS 2014. Procedia Computer Science, 29, 1-7. https://doi.org/10.1016/j.procs.2014.04.002[details]
Alexandrov, V., Lees, M., Krzhizhanovskaya, V., Dongarra, J., & Sloot, P. M. A. (Eds.) (2013). International Conference on Computational Science, ICCS 2013: Barcelona, Spain, June 5- June 7, 2013. (Procedia Computer Science; Vol. 18). Elsevier. http://www.sciencedirect.com/science/journal/18770509/18[details]
2012
Ali, H., Shi, Y., Khazanchi, D., Lees, M., van Albada, G. D., Dongarra, J., & Sloot, P. M. A. (2012). Proceedings of the International Conference on Computational Science, ICCS 2012. (Procedia Computer Science; No. 9). Elsevier. http://www.sciencedirect.com/science/journal/18770509/9[details]
Ali, H., Shi, Y., Khazanchi, D., Lees, M., van Albada, G. D., Dongarra, J., & Sloot, P. M. A. (2012). Empowering Science through Computing, preface for ICCS 2012. Procedia Computer Science, 9, 1-6. https://doi.org/10.1016/j.procs.2012.04.001[details]
Mordvintsev, A., Krzhizhanovskaya, V., Lees, M., & Sloot, P. (2012). Simulation of city evacuation coupled to flood dynamics. In PED 2012: accompanying booklet: abstracts of all presentations and posters: 6th International Conference on Pedestrian and Evacuation Dynamics (pp. [156-158]). ETH [etc.]. [details]
Lees, M., Logan, B., Chen, D., Oguara, T., & Theodoropoulos, G. (2006). Analysing Probabilistically Constrained Optimism. In Proceedings - Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications, DS-RT 2006 (pp. 201-208). IEEE. https://doi.org/10.1109/DS-RT.2006.10
2005
Lees, M., Logan, B., Chen, D., Oguara, T., & Theodoropoulos, G. (2005). Decision-Theoretic Throttling for Optimistic Simulations of Multi-Agent Systems. In Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications (pp. 171-178). IEEE. https://doi.org/10.1109/DISTRA.2005.16
Oguara, T., Chen, D., Theodoropoulos, G., Logan, B., & Lees, M. (2005). An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems. In Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications (pp. 179-186). IEEE. https://doi.org/10.1109/DISTRA.2005.9
2003
Lees, M., Logan, B., Oguara, T., & Theodoropoulos, G. (2003). Simulating Agent-Based Systems with HLA: The case of SIM_AGENT - Part II. In Proceedings of the 2003 European Simulation Interoperability Workshop
Lees, M., Logan, B., Theodoropoulos, G., & Al-Dabass, D. (Ed.) (2003). Adaptive Optimistic Synchronisation for Multi-Agent Simulation. In Proceedings of the 17th European Simulation Multiconference: ESM 2003 (pp. 77-82)
2002
Lees, M., Logan, B., & Theodoropoulos, G. (2002). Simulating Agent-Based Systems with HLA: The case of SIM\_AGENT. In Proceedings of the 2002 European Simulation Interoperability Workshop (pp. 285-293)
2018
Sandberg, J., Belleman, R., Visser, A., Abcouwer, T., & Lees, M. (2018). IvI Education vision. Informatics Institute. [details]
2018
Vermeulen, I., Helmus, J. R., Lees, M., & Van Den Hoed, R. (2018). Simulation of future electric vehicle charging behavior - Effects of transition from PHEV to FEV. Paper presented at 31st International Electric Vehicle Symposium and Exhibition, EVS 2018 and International Electric Vehicle Technology Conference 2018, EVTeC 2018, Kobe City, Japan.
2004
Lees, M., Logan, B., & Theodoropoulos, G. (2004). Time Windows in Multi-Agent Distributed Simulation: Proceedings of the 5th EUROSIM Congress on Modelling and Simulation (EuroSim'04).
Lees, M., Logan, B., Minson, R., Oguara, T., Theodoropoulos, G. K., Davidsson, P. (Ed.), & Takadama, K. (2004). Distributed Simulation of {MAS}: Multi-Agent and Multi-Agent-Based Simulation, Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers. 25--36.
Lees, M., Logan, B., Oguara, T., Theodoropoulos, G. K., & Dongarra, J. (2004). HLA_AGENT: Distributed Simulation of Agent-Based Systems with HLA: Computational Science - ICCS 2004, 4th International Conference, Krak{o}w, Poland, June 6-9, 2004, Proceedings, Part III. 881--888.
Andere
Vasconcelos, V. V. (organiser), Roy, D. (organiser), Krueger, E. (organiser), Pinheiro, F. L. (organiser), Stewart, A. J. (organiser), Garibay, V. (organiser), Teixeira, A. (organiser), Leng, Y. (organiser), Lees, M. (member of programme committee), Kawakatsu, M. (member of programme committee), Nespeca, V. (member of programme committee), Mittal, D. (member of programme committee), Dignum, E. (member of programme committee), Mengesha, I. (member of programme committee), Alpalhão, N. (member of programme committee), Candia, C. (member of programme committee) & Pilatti, G. (member of programme committee) (3-7-2023 - 5-7-2023). Computational Social Complexity Track at ICCS 2023, Prague. Thematic Track at the International Conference on Computational Social Science 2023 (organising a conference, workshop, ...). https://sites.google.com/view/cscx-track-2023/
Hazeleger, W. (organiser), Eyring, V. (organiser), Finkenauer, C. (organiser), Lees, M. (organiser), Stevens, B. (organiser) & Vasconcelos, V. V. (participant) (13-2-2023 - 16-2-2023). Lorentz Center Workshop "Digital Twin Earth", Leiden. A Digital Twin of the earth constitutes a new paradigm in weather and climate research and applications. The twin(s) explores climate futures (…) (participating in a conference, workshop, ...). https://www.lorentzcenter.nl/digital-twin-earth.html
2023
Helmus, J. R. (2023). Non-linear dynamics of charging behaviour under growth stress: Data driven computational models. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Melnikov, V. (2021). Computational models of human response to urban heat: From physiology to behaviour. [Thesis, externally prepared, Universiteit van Amsterdam]. [details]
Lees, M., Sloot, P. M. A., Krzhizhanovskaya, V. V. & Melnikov, V. (2020). Walking speeds in relation to climate in Singapore. Mendeley Data. https://doi.org/10.17632/k5rf27hnhk.1
2018
Wang, J. & Lees, M. (2018). Deprivation pockets through the lens of convolutional neural networks,Deprivation through deep learning,. EASY. https://doi.org/10.17026/dans-zbd-hfw7
2017
King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
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