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Associate Professor Martin Masek

Associate Professor

Contact Information Telephone: +61 8 6304 6410, Email: m.masek@ecu.edu.au, Campus: Joondalup, Room: JO18.317
Staff Member Details
Telephone: +61 8 6304 6410
Email: m.masek@ecu.edu.au
Campus: Joondalup  
Room: JO18.317  

 

Martin is an Associate Professor of Computer Science in the School of Science.

Current Teaching

  • Programming and Software Engineering.

Background

A.Prof. Martin Masek is a member of the Artificial Intelligence and Optimisation Research Group. He joined Edith Cowan University in 2005 after completing his PhD, focused on medical image processing in 2004. His research involves the application of artificial intelligence and image processing techniques to solve problems in a variety of domains such as health, education and defence. This has resulted in collaboration with partners such as Microsoft Research, The National Archives, The National Trust and The Defence Science Technology Group.

Research Areas and Interests

  • Computer vision and image processing
  • Artificial intelligence and machine learning
  • Applications of games technology

Qualifications

  • Doctor of Philosophy, The University of Western Australia, 2004.
  • Bachelor Of Engineering with 2nd Class Honours in IT, The University of Western Australia, 1998.

Research

Recent Research Grants

  • Automated Aesthetic Assessment of Images,  The Higher Education Commission,Government of the Islamic Republic of Pakistan,  HEC Scholarship,  2018 - 2022,  $76,000.
  • Real-Time face detection and recognition for low resolution surveillance videos,  The Higher Education Commission,Government of the Islamic Republic of Pakistan,  HEC Scholarship,  2018 - 2022,  $76,000.
  • Pathway to healthy food environments: a guide for local governments in Western Australia,  Healthway (WA Health Promotion Foundation),  Healthway - Grant,  2018 - 2021,  $710,084.
  • Developing a novel deep learning architecture for automatic cardiac arrhythmia detection and classification,  Department of Jobs, Tourism, Science and Innovation,  WA Science Industry PhD Fellowship Program,  2019 - 2021,  $30,000.
  • Evolutionary Algorithms for Real Time Strategy games,  Defence Science and Technology Group of the Department of Defence,  Grant,  2018 - 2019,  $53,373.
  • Transformational games: A way to engage adolescents in nutrition education? ,  Healthway (WA Health Promotion Foundation),  Health Promotion Research - Exploratory Research Grants,  2016 - 2018,  $56,634.
  • Evolutionary Algorithms for Complex Multi-Agent Simulation of Air Operations,  Defence Science and Technology Group of the Department of Defence,  Grant,  2017 - 2018,  $97,846.
  • Establishing a 3D sensing, visualisation and analytics lab,  Edith Cowan University,  Edith Cowan University, School of Science 2017 Strategic Initiative Fund,  2017,  $115,368.
  • Co-Evolutionary Algorithms for Multi-Agent Simulation of Air Operations,  Defence Science and Technology Group of the Department of Defence,  Grant,  2016 - 2017,  $44,339.
  • Simulation game engines for Maritime Experimentation,  Defence Science and Technology Group of the Department of Defence,  Grant,  2016,  $22,043.
  • Trailblazer: A Framework for Context Aware Multimodal Learning,  Edith Cowan University,  ECU Industry Collaboration Grant - 2013,  2013 - 2015,  $109,392.
  • Game based learning and educational data mining,  Edith Cowan University,  ECU Industry Collaboration Grant - 2014 (Round 1),  2014 - 2015,  $209,936.
  • NanoCity : Stage Two Nanotechnology Game Development,  The Department of Industry, Innovation, Climate Change, Science, Research and Tertiary Education ,  DIISRTE - Grant,  2013,  $93,425.
  • Nanotechnology Online game,  Edith Cowan University,  ECU Industry Collaboration Grant - 2012 (Round 1),  2012 - 2013,  $102,761.
  • Remote Blood Pressure Monitoring for Preeclampsia,  Nortel Networks,  Grant - Development,  2011 - 2012,  $46,405.
  • Promoting Youth Mental Health Using Gaming Technology: An RCT Pilot Study,  Healthway (WA Health Promotion Foundation),  Healthway - Research Starter Grant,  2010 - 2012,  $29,072.
  • AE2 Simulation National Archives of Australia,  National Archives of Australia,  Grant - Ian Maclean Award,  2009 - 2011,  $21,000.
  • Autonomous Mobile Robotic Mapping and Surveillance,  Edith Cowan University,  ECU Industry Collaboration - Grant,  2009 - 2011,  $60,000.
  • Fetal Heart Rate and Activity Monitoring via Smart Phones,  Microsoft Research,  Grant,  2008 - 2009,  $108,063.
  • Development of an ad-hoc wireless network routing protocol optimised for multiplayer peer-to-peer computer games,  Edith Cowan University,  ECU Early Career Researcher - Grant,  2007 - 2008,  $14,939.

Recent Publications (within the last five years)

Book Chapters

  • Fitzgibbons, Y., Masek, M., (2017), Bringing Texts to Life: An Augmented Reality Application for Supporting the Development of Information Literacy Skills. Mobile Technology and Academic Libraries: Innovative Services for Research and Learning, 223-236, Chicago, USA, Association of College and Research Libraries.

Journal Articles

  • Masek, M., Lam, P., Tranthim-Fryer, C., Jansen, B., Baptist, K., (2018), Sleep monitor: A tool for monitoring and categorical scoring of lying position using 3D camera data. SoftwareX, 7(January–June 2018), 341-346, DOI: 10.1016/j.softx.2018.10.001.
  • Masek, M., Boston, J., Lam, P., Corcoran, S., (2017), Improving mastery of fractions by blending video games into the Math classroom. Journal of Computer Assisted Learning, 33(5), 486-499, DOI: 10.1111/jcal.12194.
  • Pech, A., Masek, M., Lam, P., Hingston, P., (2016), Game level layout generation using evolved cellular automata. Connection Science, 28(1), 63-82, Taylor & Francis, DOI: 10.1080/09540091.2015.1130020.
  • Pazhoumanddar, H., Lam, P., Masek, M., (2015), Joint movement similarities for robust 3D action recognition using skeletal data. Journal of Visual Communication and Image Representation, 30(July 2015), 10-21, DOI: 10.1016/j.jvcir.2015.03.002.

Conference Publications

  • Masek, M., Lam, P., Benke, L., Kelly, L., Papasimeon, M., (2018), Discovering Emergent Agent Behaviour with Evolutionary Finite State Machines. PRIMA 2018: Principles and Practice of Multi-Agent Systems, 11224(October 31-November 2, 2018), 19-34, Cham, Springer.
  • Pazhoumanddar, H., Lam, P., Masek, M., (2017), An Automatic Approach for Generation of Fuzzy Membership Functions. Agents and Artificial Intelligence 8th International Conference, ICAART 2016, Revised Selected Papers, LNAI, volume 10162(24-26 February, 2016), 247-264, Springer, DOI: 10.1007/978-3-319-53354-4_14.
  • Pech, A., Lam, P., Hingston, P., Masek, M., (2016), Using isovists to evolve terrains with gameplay elements. Applications of Evolutionary Computation, 9597(30 Mar - 1 Apr 2016), 636-652, Springer Verlag, DOI: 10.1007/978-3-319-31204-0_41.
  • Pazhoumanddar, H., Lam, P., Masek, M., (2016), A Novel Fuzzy Based Home Occupant Monitoring System Using Kinect Cameras. 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI), 1129-1136, Piscataway N.J., IEEE, DOI: 10.1109/ICTAI.2015.160.
  • Pazhoumanddar, H., Lam, P., Masek, M., (2016), Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics. Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 2(24-26 Feb 2016), 160-171, Science and Technology Publications, DOI: 10.5220/0005751601600171.
  • Pazhoumanddar, H., Masek, M., Lam, P., (2016), Unsupervised monitoring of electrical devices for detecting deviations in daily routines. 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), 1-6, IEEE, DOI: 10.1109/ICICS.2015.7459849.
  • Wheat, D., Masek, M., Lam, P., Hingston, P., (2016), Modeling perceived difficulty in game levels. Proceedings of the Australasian Computer Science Week Multiconference, Article no. a74, Australian Computer Society Inc., DOI: 10.1145/2843043.2843478.
  • Wheat, D., Masek, M., Lam, P., Hingston, P., (2015), Dynamic Difficulty Adjustment in 2D Platformers through Agent-Based Procedural Level Generation. Proceedings of the 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC 2015), 2778-2785, Piscataway, N.J., IEEE, DOI: 10.1109/SMC.2015.485.
  • Pech, A., Hingston, P., Masek, M., Lam, P., (2015), Evolving Cellular Automata for Maze Generation. Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, LNAI 8955(5-7 February 2015), 112-124, Springer, DOI: 10.1007/978-3-319-14803-8_9.
  • Boston, J., Masek, M., Brogan, M., Lam, P., (2014), Digitally Augmenting Physical Spaces for Personalised Learning. 26th Australian Computers in Education Conference, 52-60, ACEC.
  • Gulatee, Y., Masek, M., (2014), Giving students an informed choice when selecting teams for group work. Rhetoric and Reality: Critical perspectives on educational technology. Proceedings ascilite Dunedin 2014, 751-755, ASCILITE.

Research Student Supervision

Principal Supervisor

  • Doctor of Philosophy,  EVOLVING GAMEPLAY ELEMENTS INTO VIRTUAL TERRAINS

Co-principal Supervisor

  • Doctor of Information Technology,  COEVOLUTIONARY ALGORITHMS FOR THE OPTIMIZATION OF STRATEGIES FOR RED TEAMING APPLICATIONS
  • Doctor of Information Technology,  A FEEDBACK CONTROL SYSTEM FOR EXERGAMES.
  • Doctor of Philosophy,  AN INVESTIGATION INTO TRUST AND SECURITY IN THE MANDATORY AND IMPOSED USE OF FINANCIAL ICTS UPON OLDER PEOPLE

Associate Supervisor

  • Doctor of Philosophy,  ON THE RECOGNITION OF EMOTION FROM PHYSIOLOGICAL DATA
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