Research of Michael Lees

Agent-based Modelling and Complex System Simulation

Introduction

As of August 2013 I am an Assistant Professor at the Universiteit van Amsterdam in the Section Computational Science (Informatics Institute). Before this I had been an Assistant Professor at Nanyang Technological University (NTU) Singapore.

I completed my PhD Adaptive Optimistic Simulation of Multi-Agent Systems at Nottingham University and I graduated from Edinburgh University in July of 2001 with a joint honours Computer Science/Artificial Intelligence degree.

Dr Michael Lees

Office: C3.142,
Instituut voor Informatica,
University of Amsterdam,
Science Park 904, 1098 XH Amsterdam 


Email: m.h.lees [at] uva.nl
Tel: +31 (0) 20 525 7538

Research

My current research interests are primarily in modelling and simulation of large scale complex systems. I’m particularly interested in understanding the effect that human behavior has on such systems and the important role that individual behavioral interactions have on system level dynamics. Current application areas include the study of human crowds and egress, social contact networks and traffic and transportation systems. In order to simulate such systems it is often necessary to address problems of scalability, so my work also attempts to address this issue using various techniques from distributed simulation, multi-scale modelling and high performance computing.

 

H-Index: 15

I10-Index: 23

[what is an h-index?]

 

PhD students:

Publications

1.

Nan Hu, Michael Harold Lees, Suiping Zhou

A pattern-based modeling framework for simulating human-like pedestrian steering behaviors (Inproceeding)

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology - VRST '13, pp. 179, ACM Press, New York, New York, USA, 2013, ISBN: 9781450323796.

(Links | BibTeX)

2.

Linbo Luo, Haiyan Yin, Jinghui Zhong, Wentong Cai, Michael Lees, Suiping Zhou

Mission-based Scenario Modeling and Generation for Virtual Training (Inproceeding)

Proceedings of the Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013.

(BibTeX)

3.

Nasri Bin Othman, Linbo Luo, Wentong Cai, Michael Lees

Spatial indexing in agent-based crowd simulation (Inproceeding)

SimuTools '13 Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, pp. 92–100, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2013, ISBN: 978-1-4503-2464-9.

(Links | BibTeX)

4.

Vinoth Suryanarayanan, Georgios Theodoropoulos, Michael Lees

PDES-MAS: Distributed Simulation of Multi-agent Systems (Article)

Procedia Computer Science, 18, pp. 671–681, 2013.

(Abstract | Links | BibTeX)

5.

Jiajian Xiao, Heiko Aydt, Michael Lees, Alois Knoll

A Partition Based Match Making Algorithm for Taxi Sharing (Inproceeding)

16th International IEEE Annual Conference on Intelligent Transportation Systems, 2013.

(BibTeX)

6.

Linbo Luo, Haiyan Yin, Wentong Cai, Michael Lees, Suiping Zhou

Interactive scenario generation for mission-based virtual training (Article)

Computer Animation and Virtual Worlds, 24 (3-4), pp. 345–354, 2013, ISSN: 15464261.

(Links | BibTeX)

7.

Michael Wagner, Wentong Cai, Michael Lees

Emergence by Strategy: Flocking Boids and their Fitness in Relation to Model Complexity (Inproceeding)

Proceedings of the 2013 Winter Simulation Conference, WSC 2013, Washington D.C., USA, December 8-11, 2013, 2013.

(BibTeX)

8.

ANDREW ADAMATZKY, MICHAEL LEES, PETER SLOOT

BIO-DEVELOPMENT OF MOTORWAY NETWORK IN THE NETHERLANDS: A SLIME MOULD APPROACH (Article)

Advances in Complex Systems, 16 (02n03), pp. 1250034, 2013, ISSN: 0219-5259.

(Abstract | Links | BibTeX)

9.

Heiko Aydt, Yadong Xu, Michael Lees, Alois Knoll

A Multi-Threaded Execution Model for the Agent-based SEMSim Traffic Simulation (Inproceeding)

Proceedings of the 13th International Conference on Systems Simulation (AsiaSim), pp. 1––12, Springer Berlin Heidelberg, 2013.

(Links | BibTeX)

10.

Daniel Zehe, Heiko Aydt, Michael Lees, Alois Knoll

JavaScript Distributed Agent Based Discrete Event Simulation (Inproceeding)

In proceedings of the The 17th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2013.

(BibTeX)

11.

Yongwei Wang, Michael Lees, Wentong Cai

Grid-based partitioning for large-scale distributed agent-based crowd simulation (Inproceeding)

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), pp. 1–12, Winter Simulation Conference IEEE, 2012, ISBN: 978-1-4673-4782-2.

(Links | BibTeX)

12.

Tianyou Zhang, Xiuju Fu, Stefan Ma, Gaoxi Xiao, Limsoon Wong, Chee Keong Kwoh, Michael Lees, Gary Kee Khoon Lee, Terence Hung

Evaluating temporal factors in combined interventions of workforce shift and school closure for mitigating the spread of influenza. (Article)

PloS one, 7 (3), pp. e32203, 2012, ISSN: 1932-6203.

(Abstract | Links | BibTeX)

13.

Heiko Aydt, Michael Lees, Alois Knoll

Symbiotic simulation for future electro-mobility transportation systems (Inproceeding)

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), pp. 1–12, Winter Simulation Conference IEEE, 2012, ISBN: 978-1-4673-4782-2.

(Abstract | Links | BibTeX)

14.

Heiko Aydt, Michael Lees, Stephen J Turner, Wentong Cai

Toward Simulation-based Egress Optimisation in Smart Buildings using Symbiotic Simulation (Inproceeding)

Pedestrian Evacuation Dynamics, 2012.

(BibTeX)

15.

Tianyou Zhang, Michael Lees, Chee Keong Kwoh, Xuju Fu, Gary Kee Khoon Lee, Rick Siow Mong Goh

A contact-network-based simulation model for evaluating interventions under “what-if” scenarios in epidemic (Inproceeding)

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), pp. 1–12, Winter Simulation Conference IEEE, 2012, ISBN: 978-1-4673-4782-2.

(Links | BibTeX)

16.

Pengfei Xing, Michael Lees, Hu Nan, T Viswanthatn

Validation of Agent-Based Simulation through Human Computation: An Example of Crowd Simulation (Inproceeding)

Multi-Agent-Based Simulation XII, pp. 90–102, Springer Berlin/Heidelberg, 2012.

(Links | BibTeX)

17.

Vaisagh Viswanathan, Michael Lees

An Information-Based Model of Pre-evacuation Behavior for Agent Based Egress Simulation (Inproceeding)

Pedestrian Evacuation Dynamics, 2012.

(BibTeX)

18.

Vaisagh Viswanathan, Michael Lees

Modeling and Analyzing the Human Cognitive Limits for Perception in Crowd Simulation (Inproceeding)

Transactions on Computational Science XVI, pp. 55–76, Springer Berlin Heidelberg, 2012.

(BibTeX)

19.

M Di Mauro, M Lees, K Megawati, Z Huang

Pedestrian-vehicles interaction during evacuation (Inproceeding)

Pedestrian Evacuation Dynamics, 2012.

(BibTeX)

20.

Yadong Xu, Heiko Aydt, Michael Lees

SEMSim: A Distributed Architecture for Multi-scale Traffic Simulation (Inproceeding)

2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, pp. 178–180, IEEE Computer Society IEEE, 2012, ISBN: 978-1-4673-1797-9.

(Abstract | Links | BibTeX)

21.

Alexander Mordvintsev, Valeria Krzhizhanovskaya, Michael Lees, Peter Sloot.

Simulation of City Evacuation Coupled to Flood Dynamics (Inproceeding)

Pedestrian Evacuation Dynamics, 2012.

(BibTeX)

22.

A Adamatzky, M H Lees, P M A Sloot

Physarum in the Netherlands: Responding to the Flood (Inbook)

Adamatzky, (Ed.): Bioevaluation of World Transport Networks, pp. 1–380, World Scientific, 2012.

(Links | BibTeX)

23.

J A Fozard, M Lees, J R King, B S Logan

Inhibition of quorum sensing in a computational biofilm simulation. (Article)

Bio Systems, 109 (2), pp. 105–14, 2012, ISSN: 1872-8324.

(Abstract | Links | BibTeX)

24.

Linbo Luo, Suiping Zhou, Wentong Cai, Michael Lees, Malcolm Yoke Hean Low, Kabilen Sornum

HumDPM: A Decision Process Model for Modeling Human-like Behaviors in Time- critical and Uncertain Situation (Inproceeding)

Gavrilova Marina; Tan, Kenneth (Ed.): Transactions on Computational Science XII, pp. 260, springer, 2011.

(Links | BibTeX)

25.

D Stevens, H Power, M Lees, H Morvan

A local hermitian RBF meshless numerical method for the solution of multi-zone problems (Article)

Numerical Methods for Partial Differential Equations, 27 (5), pp. 1201–1230, 2011, ISSN: 0749159X.

(Links | BibTeX)

26.

N Hu, M Lees, S Zhou, V Viswanathan T

Pattern based motion for crowd simulation (Inproceeding)

Transactions on edutainment VI, pp. 99–110, Springer, 2011.

(Abstract | BibTeX)

27.

P Orsini, H Power, M Lees

The Hermite radial basis function control volume method for multi-zones problems; A non-overlapping domain decomposition algorithm (Article)

Computer Methods in Applied Mechanics and Engineering, 200 (5-8), pp. 477–493, 2011, ISSN: 0045-7825.

(Links | BibTeX)

28.

Tianyou Zhang, Xiuju Fu, Chee Keong Kwoh, Gaoxi Xiao, Limsoon Wong, Stefan Ma, Harold Soh, Gary Kee Khoon Lee, Terence Hung, Michael Lees

Temporal factors in school closure policy for mitigating the spread of influenza. (Article)

Journal of public health policy, 32 (2), pp. 180–97, 2011, ISSN: 1745-655X.

(Abstract | Links | BibTeX)

29.

Heiko Aydt, Michael Lees, Linbo Luo, Wentong Cai, Malcolm Yoke Hean Low, Sornum Kabilen Kadirvelen

A Computational Model of Emotions for Agent-Based Crowds in Serious Games (Inproceeding)

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp. 72–80, IEEE IEEE, 2011, ISBN: 978-1-4577-1373-6.

(Abstract | Links | BibTeX)

30.

Vaisagh Viswanathan T., Michael Lees

An Information-Based Perception Model for Agent-Based Crowd and Egress Simulation (Inproceeding)

2011 International Conference on Cyberworlds, pp. 38–45, IEEE IEEE, 2011, ISBN: 978-1-4577-1453-5.

(Abstract | Links | BibTeX)

31.

Hoai Nam Le Tran, Kabilen Sornum, Hock Soon Seah, Wentong Cai, Malcolm Yoke Hean Low, Suiping Zhou, Michael Lees

A systematic approach for rapid 3D reconstruction from photosets (Inproceeding)

2010 11th International Conference on Control Automation Robotics & Vision, pp. 1167–1174, IEEE, 2010, ISBN: 978-1-4244-7814-9.

(Links | BibTeX)

32.

Dan Chen, Stephen John Turner, Wentong Cai, Georgios K Theodoropoulos, Muzhou Xiong, Michael Lees

Synchronization in federation community networks (Article)

Journal of Parallel and Distributed Computing, 70 (2), pp. 144–159, 2010, ISSN: 07437315.

(Abstract | Links | BibTeX)

33.

Linbo Luo, Suiping Zhou, Wentong Cai, Michael Lees, Malcolm Yoke Hean Low

Modeling Human-Like Decision Making for Virtual Agents in Time-Critical Situations (Inproceeding)

2010 International Conference on Cyberworlds, pp. 360–367, IEEE, 2010, ISBN: 978-1-4244-8301-3.

(Abstract | Links | BibTeX)

34.

Anson Yuanxi Liang, Malcolm Yoke-Hean Low, Michael Harold Lees, Wentong Cai, Suiping Zhou

A framework of intelligent environment with smart-active objects (IESAO) for flexible and efficient crowd simulation (Inproceeding)

McGraw, Robert; Imsand, Eric; Chinni, Michael (Ed.): Proceedings of the 2010 Spring Simulation Multiconference, SpringSim 2010, Orlando, Florida, USA, April 11-15, 2010, pp. 19, SCS/ACM, 2010, ISBN: 978-1-4503-0069-8.

(Abstract | BibTeX)

35.

Muzhou Xiong, Michael Lees, Wentong Cai, Suiping Zhou, Malcolm Yoke Hean Low

Analysis of an efficient rule-based motion planning system for simulating human crowds (Article)

The Visual Computer, 26 (5), pp. 367–383, 2010, ISSN: 0178-2789.

(Abstract | Links | BibTeX)

36.

Muzhou Xiong, Michael Lees, Wentong Cai, Suiping Zhou, Malcolm Yoke Hean Low

Hybrid modelling of crowd simulation (Article)

Procedia Computer Science, 1 (1), pp. 57–65, 2010, ISSN: 18770509.

(Abstract | Links | BibTeX)

37.

P Orsini, H Power, H Morvan, M Lees

An implicit upwinding volume element method based on meshless radial basis function techniques for modelling transport phenomena (Article)

International Journal for Numerical Methods in Engineering, 81 (1), pp. n/a–n/a, 2009, ISSN: 00295981.

(Links | BibTeX)

38.

Linbo Luo, Suiping Zhou, Wentong Cai, Malcolm Yoke Hean Low, Michael Lees

Toward a Generic Framework for Modeling Human Behaviors in Crowd Simulation (Inproceeding)

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, pp. 275–278, IEEE, 2009, ISBN: 978-0-7695-3801-3.

(Abstract | Links | BibTeX)

39.

Michael Lees, Brian Logan, Georgios Theodoropoulos

Analysing probabilistically constrained optimism (Article)

Concurrency and Computation: Practice and Experience, 21 (11), pp. 1467–1482, 2009, ISSN: 15320626.

(Abstract | Links | BibTeX)

40.

Yongwei Wang, Michael Lees, Wentong Cai, Suiping Zhou, Malcol Low

Cluster based partitioning for agent-based crowd simulations (Inproceeding)

Dunkin, Ann; Ingalls, Ricki; Yücesan, Enver; Rossetti, Manuel; Hill, Ray; Johansson, Björn (Ed.): Proceedings of the 2009 Winter Simulation Conference (WSC), pp. 1047–1058, IEEE, 2009, ISBN: 978-1-4244-5770-0.

(Abstract | Links | BibTeX)

41.

Georgios K Theodoropoulos, Rob Minson, Roland Ewald, Michael Lees

Multi-Agent Systems: Simulation and Applications (Inbook)

Uhrmacher, Adelinde; Weyns, Danny (Ed.): Chapter Simulation, CRC Press, Inc., Boca Raton, FL, USA, 1st, 2009, ISBN: 1420070231, 9781420070231.

(BibTeX)

42.

David Stevens, Henry Power, Michael Lees, Herve Morvan

The use of PDE centres in the local RBF Hermitian method for 3D convective-diffusion problems (Article)

Journal of Computational Physics, 228 (12), pp. 4606–4624, 2009, ISSN: 00219991.

(Links | BibTeX)

43.

David Stevens, Henry Power, Michael Lees, Herve Morvan

A Meshless Solution Technique for the Solution of 3D Unsaturated Zone Problems, Based on Local Hermitian Interpolation with Radial Basis Functions (Article)

Transport in Porous Media, 79 (2), pp. 149–169, 2009, ISSN: 0169-3913.

(Links | BibTeX)

44.

Muzhou Xiong, Michael Lees, Wentong Cai, Suiping Zhou, Malcolm Yoke Hean Low

A Rule-Based Motion Planning for Crowd Simulation (Inproceeding)

Ugail, Hassan; Qahwaji, Rami; Earnshaw, Rae; Willis, Philip (Ed.): 2009 International Conference on CyberWorlds, pp. 88–95, IEEE, 2009, ISBN: 978-1-4244-4864-7.

(Abstract | Links | BibTeX)

45.

Michael Lees, Brian Logan, G. Theodoropoulos

Using Access Patterns to Analyze the Performance of Optimistic Synchronization Algorithms in Simulations of MAS (Article)

SIMULATION, 84 (10-11), pp. 481–492, 2008, ISSN: 0037-5497.

(Abstract | Links | BibTeX)

46.

Tien Tuan Anh Dinh, Michael Lees, Georgios Theodoropoulos, Rob Minson

Large Scale Distributed Simulation of p2p Networks (Inproceeding)

16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008), pp. 499–507, IEEE, 2008, ISBN: 978-0-7695-3089-5.

(Abstract | Links | BibTeX)

47.

Dan Chen, Roland Ewald, Georgios K Theodoropoulos, Robert Minson, Ton Oguara, Michael Lees, Brian Logan, Adelinde M Uhrmacher

Data access in distributed simulations of multi-agent systems (Article)

Journal of Systems and Software, 81 (12), pp. 2345–2360, 2008, ISSN: 01641212.

(Abstract | Links | BibTeX)

48.

P Orsini, H Power, M Lees, H Morvan

A Control Volume Radial Basis Function Techniques for the Numerical Simulation of Saturated Flows in Semi-confined Aquifer (Article)

Transport in Porous Media, 79 (2), pp. 171–196, 2008, ISSN: 0169-3913.

(Links | BibTeX)

49.

Michael Lees, Brian Logan, Georgios Theodoropoulos

Distributed simulation of agent-based systems with HLA (Article)

ACM Transactions on Modeling and Computer Simulation, 17 (3), pp. 11–es, 2007, ISSN: 10493301.

(Abstract | Links | BibTeX)

50.

Michael Lees, Brian Logan, John King

Multiscale models of bacterial populations (Inproceeding)

Henderson, Shane; Biller, Bahar; Hsieh, Ming-Hua; Shortle, John; Tew, Jeffrey; Barton, Russell (Ed.): 2007 Winter Simulation Conference, pp. 881–890, IEEE, 2007, ISBN: 978-1-4244-1305-8.

(Abstract | Links | BibTeX)

51.

Michael Lees, Brian Logan, John King

HLA Simulation of Agent-Based Bacterial Models (Inproceeding)

Proceedings of the 2007 European Simulation Interoperability Workshop, Simulation Interoperability Standards Organisation Genoa, 2007.

(Links | BibTeX)

52.

Michael Lees, Brian Logan, John King

BacGrid: simulations of bacteria using the grid (Inproceeding)

BMC Systems Biology, pp. S5, 2007, ISSN: 17520509.

(Links | BibTeX)

53.

Roland Ewald, Dan Chen, G.K. Theodoropoulos, Michael Lees, Brian Logan, Ton Oguara, A.M. Uhrmacher

Performance Analysis of Shared Data Access Algorithms for Distributed Simulation of Multi-Agent Systems (Inproceeding)

20th Workshop on Principles of Advanced and Distributed Simulation (PADS'06), pp. 29–36, IEEE, 2006, ISBN: 0-7695-2587-3.

(Abstract | Links | BibTeX)

54.

Michael Lees, Brian Logan, Dan Chen, Ton Oguara, Georgios Theodoropoulos

Analysing Probabilistically Constrained Optimism (Inproceeding)

2006 Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications, pp. 201–208, IEEE, 2006, ISBN: 0-7695-2697-7.

(Abstract | Links | BibTeX)

55.

Michael Lees, Brian Logan, C. Dan, Ton Oguara, G. Theodoropoulos

Analysing the Performance of Optimistic Synchronisation Algorithms in Simulations of Multi-Agent Systems (Inproceeding)

20th Workshop on Principles of Advanced and Distributed Simulation (PADS'06), pp. 37–44, IEEE, 2006, ISBN: 0-7695-2587-3.

(Abstract | Links | BibTeX)

56.

Michael Lees, Brian Logan, G.K. Theodoropoulos

Agents, games and HLA (Article)

Simulation Modelling Practice and Theory, 14 (6), pp. 752–767, 2006, ISSN: 1569190X.

(Abstract | Links | BibTeX)

57.

Brian Logan, Michael Lees, John King

BacGrid: Large Scale Systems Biology Simulation on the Grid (Inproceeding)

Winter Simulation Conference, Track on Modelling and Simulation in Computational Biology, Monterey, CA USA, 2006.

(BibTeX)

58.

Michael Lees, Brian Logan, G. Theodoropoulos

Decision-Theoretic Throttling for Optimistic Simulations of Multi-Agent Systems (Inproceeding)

Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications, pp. 171–178, IEEE, 2005, ISBN: 0-7695-2462-1.

(Abstract | Links | BibTeX)

59.

Dan Chen, G. Theodoropoulos, Brian Logan, Michael Lees

An Adaptive Load Management Mechanism for Distributed Simulation of Multi-agent Systems (Inproceeding)

Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications, pp. 179–186, IEEE, 2005, ISBN: 0-7695-2462-1.

(Abstract | Links | BibTeX)

60.

Michael Lees, Brian Logan, Georgios Theodoropoulos

Time Windows in Multi-Agent Distributed Simulation (Inproceeding)

Proceedings of the 5th EUROSIM Congress on Modelling and Simulation (EuroSim'04), Paris, 2004.

(Abstract | BibTeX)

61.

Michael Lees, Brian Logan, Ton Oguara, Georgios K Theodoropoulos

HLA_AGENT: Distributed Simulation of Agent-Based Systems with HLA (Inproceeding)

Bubak, Marian; van Albada, Dick; Sloot, Peter; Dongarra, Jack (Ed.): Computational Science - ICCS 2004, 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part III, pp. 881–888, Springer, 2004, ISBN: 3-540-22116-6.

(BibTeX)

62.

Michael Lees, Brian Logan, Rob Minson, Ton Oguara, Georgios K Theodoropoulos

Distributed Simulation of MAS (Inproceeding)

Davidsson, Paul; Logan, Brian; Takadama, Keiki (Ed.): Multi-Agent and Multi-Agent-Based Simulation, Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers, pp. 25–36, Springer, 2004, ISBN: 3-540-25262-2.

(Abstract | BibTeX)

63.

Michael Lees, Brian Logan, Rob Minson, Ton Oguara, Georgios Theodoropoulos

Modelling Environments for Distributed Simulation (Inproceeding)

Weyns, Danny; Parunak, Van Dyke; Michel, Fabien (Ed.): Environments for Multi-Agent Systems: Proceedings of the the First International Workshop (E4MAS'04), pp. 150–167, Springer, 2004, ISBN: 3-540-24575-8.

(Abstract | BibTeX)

64.

Michael Lees, Brian Logan, Georgios Theodoropoulos

Adaptive Optimistic Synchronisation for Multi-Agent Simulation (Inproceeding)

Al-Dabass, David (Ed.): Proceedings of the 17th European Simulation Multiconference (ESM 2003), pp. 77–82, Society for Modelling and Simulation International and Arbeitsgemeinschaft Simulation Society for Modelling and Simulation International, Delft, 2003, ISBN: 3-936150-25-7.

(BibTeX)

65.

Michael Lees, Brian Logan, Ton Oguara, Georgios Theodoropoulos

Simulating Agent-Based Systems with HLA: The case of SIM_AGENT -- Part II (Inproceeding)

Proceedings of the 2003 European Simulation Interoperability Workshop, European Office of Aerospace R&D Simulation Interoperability Standards Organisation and Society for Computer Simulation International, 2003.

(BibTeX)

66.

Michael Lees, Brian Logan, Georgios Theodoropoulos

Simulating Agent-Based Systems with HLA: The case of SIM_AGENT (Inproceeding)

Proceedings of the 2002 European Simulation Interoperability Workshop, pp. 285–293, European Office of Aerospace R&D Simulation Interoperability Standards Organisation and Society for Computer Simulation International, 2002, ISBN: 1--930638--24--8.

(BibTeX)

Teaching

For all teaching materials please visit blackboard

Semester 1 : 2013 : Modelling Your World – Amsterdam University College


Below is my teaching history while at NTU

Lectures:

Semester 2 : 2012 : Introduction to Intelligent Agents & Introduction to Computational Thinking*

Semester 1 : 2012 : Introduction to Computational Thinking

Semester 2 : 2011 : Introduction to Intelligent Agents

Semester 1 : 2011 : Introduction to Computational Thinking*

Semester 2 : 2010 : Introduction to Intelligent Agents*

Semester 1 : 2010 : Software Systems and Models*

Semester 2 : 2009 : Software Systems and Models*

*Course coordinator

Tutorials:

Semester 2 : 2012 : Introduction to Intelligent Agents & Introduction to Computational Thinking

Semester 1 : 2012 : Introduction to Computational Thinking & Operating Systems

Semester 2 : 2011 : Introduction to Intelligent Agents & Operating Systems

Semester 1 : 2011 : Introduction to Computational Thinking

Semester 2 : 2010 : Introduction to Intelligent Agents, Operating Systems

Semester 1 : 2010 : Software Systems and Models

Semester 2 : 2009 : Software Systems and Models

Ongoing Projects

TUM-CREATE

I worked as the NTU-PI of Research Package 5 (RP5) of the TUM-CREATE project. For more details of the project please visit http://tum-create.edu.sg/. I am still involved with the project as a collaborator

 

CROSIT – COSMOS – Crowd Simulation

While I was working in Singapore I was involved in a number of projects related to Crowd Simulation. For details about all of this work please see http://crowds.sce.ntu.edu.sg

 

Youth Violence

This is a project looking at developing data driven agent-based models to understand the development at identifying risk criteria for youth violence in Singapore. I am a collaborator on this project which will start officially in 2013.

 

MAGIC

I was also a member of the MAGIC research team at NTU: http://magic.ntu.edu.sg/

Past Projects

Validation of Agent-based models through human computation

Agent-based modeling as a methodology for understanding natural phenomena is becoming increasingly popular in many disciplines of scientific research. Validation is still a significant problem for agent- based modelers and while various validation methodologies have been proposed, none have been widely adopted. Data plays a key role in the validation of any simulation system, typically large amounts of observable real world data are necessary to compare with model outputs. However, the complex nature of the studied natural systems will often make data collection difficult. This is certainly true for crowd and egress simulation, where data is limited and difficult to collect. In this project we attempt to develop a new technique for validation of agent-based models, particularly those which relate to human behavior. This methodology adopts ideas from the field of Human Computation as a means of collecting large amounts of contextual behavioral data. The key principle is to use games as a means of framing behavioral questions to try and capture people’s natural and instinctive decisions. We investigate some key design challenges for such games and plan to develop one example game in the form of Escape. Escape is an egress based game where people are tasked to escape from rooms inhabited by other people.

 

DEPATHSS – Dynamic Egrees PlAnning ThrougH valid Symbiotic Simulation

This project proposes to investigate the feasibility of using agent-based simulation and sensor technology to design an intelligent dynamic building or venue evacuation system. The system assumes an “intelligent” building, designed to have multiple static and dynamic sensors for: smoke intensity, temperature, crowd density (through image processing and CCTV), etc. During an emergency situation these sensors are used to dynamically gather information about the unfolding scenario. We consider a system that is equipped with electronic displays, which can be changed to indicate location specific directions (forward, back, left, right, down and up) by some control mechanism. With sensors and signs, it would be possible to dynamically adjust the exit directions depending on the environmental conditions and movement of the evacuees. Alone, these mechanisms (sensors and dynamic signs) would provide an effective method for a human safety controller to guide building inhabitants from the building. However, this rests on the assumption that the controller is able to make a fast and safe evacuation plan. In reality: fire spread, smoke spread, overcrowding and human panic make this planning process very complex. Moreover, the dynamic nature of the environment in emergency scenarios means events unfold in highly unpredictable ways (that would be very difficult for a fixed simulation, or prior planning to account for, e.g., bomb explosion) and effectively invalidate the effectiveness of any pre-chosen route.


DEPATHSS intends to develop a simulation system which, given sensory input from the environment, will automatically build a simulation model and then execute and evaluate a series of simulated evacuation plans to determine the safest egress plan. Once an appropriate plan is determined, the system will configure the exit signboards to direct the inhabitants to safety. The simulation will also be able to interact with the environment and effectively investigate and build its own understanding of the environment through the use of dynamic sensors.

 

COSMOS – CrOwd Simulation for Military OperationS

11/08-11/09

The project is looking at various aspects of modeling, simulation and visualisation of large human crowds for military operations. The project aims to develop an entire framework for agent-based modelling of crowds under a variety of different scenarios. The application of crowd simulation to military scenarios is quite unique but is relevant to planning, training and operational decision making. The are five main areas of work being investigated by a team of 6 researchers.

GABARDINE – Groundwater Artificial recharge Based on Alternative sources of wateR: aDvanced INtegrated technologies and managEment

08/07-10/08

I worked as a research fellow in the Department of Mechanical, Materials and Manufacturing Engineering at Nottingham University. This was as part of a European project GABARDINE. The aim of the project was the development of an integrative methodology for: 1) the evaluation of aquifer water budgets as a basis for the determination of hydrologic deficits; 2) mapping of areas according to groundwater quality and vulnerability to contamination factors; 3) areas potentially suitable for seasonal and long-term storage; 4) Delineation and characterization of replenishment areas to groundwater aquifers, using state-of-the-art remote sensing, aerial and satellite imaging, incorporating them into a GIS system and for the identification of propitious areas for artificial replenishment. At Nottingham we were developing new numerical techniques for the simulation of groundwater flow. As part of this we developed CFD style software which allows experimenters to apply the newly developed numerical techniques to a variety of flow problems. We also investigated the application of parallel techniques and in particular GPGPUs to the problem of simulating flow in porous media. As a consequence of this work I am now a member of a commercial consultancy team which offer modelling and simulation services in the fields water resource management, pollution control, computational hydrology, R&D projects in hydrology, hydro-geology and other environmental issues and energy related problems (geothermal energy, energy storage in porous formations and CO2 sequestration).

Distributed P2P Simulation

04/07-07/07

I worked for a short period of 3 months as a research consultant at Birmingham University. In this time I was focused on development of a system for large scale simulation of p2p networks. This work was an adaptation of the PeerSim simulation tool developed as part of the BISON project. I was also involved with a team of people responsible for installation and promotion of the Blue-Bear cluster.

BacGrid – Agent-based Integrative Modelling of Bacterial Populations

01/06-04/07

I was a Research Fellow at the University of Nottingham working on a BBSRC project, Agent-based Integrative Modelling of Bacterial Populations. The aim of this project is to explore the feasibility of using distributed Grid-based simulation techniques for studying complex agent-based models of cell populations. The project will investigate the computational efficiency of biological simulations built using HLA-compliant simulators instantiated and linked using Grid services and, more generally, assess the suitability of the HLA framework for biological modelling. This is a collaborative project with the Centre for Mathematical Medicine at the University of Nottingham.

PDESMAS – Parallel Discrete Event Simulation for Multi-Agent Systems

01/02-01/06

I completed my PhD Adaptive Optimistic Simulation of Multi-Agent Systems at Nottingham University as part of pdes-mas a large EPSRC project with Birmingham University. My PhD developed two new synchronisation algorithms for PDES, with a particular focus on multi-agent simulation. I was also involved with the development of methods for dynamic load balancing and interest management and investigated how these areas relate to synchronisation. The project team developed a simulation kernel in C++ which is still currently being developed and adapted. Towards the beginning of my PhD work I adapted the SIM_AGENT toolkit and made it possible to write HLA compatible agent simulations. The resulting system is a collection of SIM_AGENT libraries which we have called HLA_AGENT.

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Michael Lees

mhlees @mhlees
Michael Lees  @mhlees
How IBM is using big data to fix Beijing’s pollution crisis http://t.co/IXhnanBrEU 
Michael Lees  @mhlees
RT @alexvespi: The social networks sensor method, studied for 50 million Twitter messages originated by Hurricane Sandy. http://t.co/C7Y89 
Michael Lees  @mhlees
THE INSIDE STORY OF YO: How A 'Stupid' App Attracted Millions Of Dollars And Rocketed To The Top Of The App Store http://t.co/NjDua81Fsd 
Michael Lees  @mhlees
RT @cxdig: Towards a comparative science of cities: using mobile traffic records in New York, London and Hong Kong http://t.co/qWxHUHP1cM 
Michael Lees  @mhlees
RT @net_science: The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality. http://t.co/Kmp8pGU1b8 
Michael Lees  @mhlees
Algorithm finds correlations between random data sets: http://t.co/fdvYw5Wgq2 Divorces in South Carolina cause bees to produce honey 
Michael Lees  @mhlees
Isoscope, An Interactive Tool Exploring the Mobility of Traffic http://t.co/eNwRc4Gopn 
Michael Lees  @mhlees
RT @Peter_Sloot: Complexity research catches criminals. http://t.co/KCOgZnyrkz 
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RT @PopSci: Wolf decline could end world's longest predator-prey study: http://t.co/Fvy8tIJat4 
Michael Lees  @mhlees
RT @Peter_Sloot: Catching Terrorists or Predicting Earthquakes, it is all the same: http://t.co/svS46Taz0x 
Michael Lees  @mhlees
Bottom-up insight into crowd dynamics: Preparing for stampedes, mass evacuations http://t.co/k18DxLzy9A 
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RT @net_science: Quantifying Information Flow During Emergencies http://t.co/4kIVUpA2ga 
Michael Lees  @mhlees
RT @techreview: How To Track Vehicles Using Speed Data Alone http://t.co/lXAOOrdLNV 
Michael Lees  @mhlees
RT @ciro: recent work by @ISI_Fondazione on participatory sensing of urban noise: http://t.co/RJdeEQCxqz 
Michael Lees  @mhlees
RT @cesifoti: Help map the brain by playing this cool MIT game https://t.co/0VhNR7a5FB 
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RT @Peter_Sloot: Analysing and Simulating Criminal Networks (Englisch Subtitles) http://t.co/SA1ocgTfhI 
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RT @sfi_news: SFI's Chris Wood on whether Big Data and predictive analytics are an opportunity or threat http://t.co/bN9lFDkWjj 
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RT @cxdig: Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data via @complejidadyec http://t.co/v65KRBO0uA