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Dr. M.H. (Mike) Lees

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
  • Room number: L6.16
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2024

    2023

    2022

    • 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]

    2021

    2020

    • 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]
    • Roy, D., & Lees, M. (2020). Understanding resilience in slums using an agent-based model. Computers, Environment and Urban Systems, 80, Article 101458. https://doi.org/10.1016/j.compenvurbsys.2019.101458 [details]
    • 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]

    2019

    • 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]

    2018

    • 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]

    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

    2015

    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]
    • Wagner, M., Cai, W., Lees, M. H., & Aydt, H. (2014). Evolving Agent-based Models Using Complexification Approach. Procedia Computer Science, 29, 310-321. https://doi.org/10.1016/j.procs.2014.05.028 [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

    2013

    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]

    2006

    • 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.

    Others

    • 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

    2025

    2024

    • Nevin, J. G. (2024). The ramifications of data handling for computational models. [Thesis, fully internal, Universiteit van Amsterdam]. [details]

    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]

    2021

    2022

    2021

    2020

    2018

    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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      Visting professor
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