austin1.gif (373 bytes) Mark Austin,
Department of Civil and Environmental Engineering and
Institute for Systems Research ,
University of Maryland at College Park.





  • Model-Based Systems Engineering and Integration.
  • Systems Modeling, Analysis, and Design of Cyber-Physical Systems and Digital Twins.
  • Algorithms and Computational Tools for Energy-Efficient Building Simulation.
  • Semantic Approaches to Distributed Systems Behavior Modeling.
  • Multi-Domain Semantic Modeling and Reasoning for Critical Infrastructure Protection and Recovery.
  • Machine Learning Algorithms for Observation and Modeling of Urban Behavior.
  • Experimental software development for Whistle.

New Project (2024--):

I am keen to work with new graduate students in the Civil Systems Program (CEE), the Masters of Systems Engineering Program (MSSE at ISR) and the Applied Math Program.


  • Maria Coelho (MBSE Scientist at Idaho National Labs): Digital Twins for Integrated Energy Systems
  • Sachraa Borjigin (Postdoc at University of Michigan): Multi-Domain Semantic Modeling for Urban Operations.
  • Naiyi Li (PhD in Civil Systems): AI/Machine Learning for Wind Turbine Digital Twin Systems (co-advised with Chung Fu)
  • Joel Abraham (MSSE): Semantic Foundations for Precision Medicine.
  • Ainur Alibayeva (MS in Civil Systems): Data Fusion in Urban Environments.

Click here for a list of recent graduates.


Publications listed on Google Scholar .


  • Delgoshaei P., Heidarinejad M., and Austin M.A. , Combined Ontology-Driven and
    Machine Learning Approach to Management of Building Energy Consumption (pdf),
    2018 Building Performance Analysis Conference and SimBuild, Chicago, September 26-28, 2018.
    News (Oct. 25, 2022): Our paper is featured in the ASHRAE Journal Newsletter
  • Coelho M., Austin M.A., and Blackburn M.R. , The Data-Ontology-Rule Footing: A Building Block for
    Knowledge-Based Development and Event-Driven Execution of Multi-Domain Systems, (pdf),
    2018 Conference on Systems Engineering Research, Charlottsville, VA, May 8-9, 2018.
    Also see: Chapter 21, Systems Engineering in Context, Springer, 2019.
  • Blackburn M.R., Austin M.A. and Coelho M. , Modeling and Cross-Domain Dependability Analysis of
    Cyber-Physical Systems (pdf), The 12th Annual IEEE International Systems Conference (SYSCON 2018),
    Vancouver, Canada, April 23-26, 2018, pp. 23-30.


  • Borjigin S.G., and Austin M.A., Multi-Domain Semantic Model and Real-Time Planning Approach to
    Safe and Efficient Airport Taxiway Operations (ieee library),
    IEEE Transactions on Intelligent Transportation Systems (Early Access), January 2024.
  • Borjigin S.G., Austin M.A., and Zontek-Carney E., Semiautomated Development of Textual Requirements:
    Combined NLP and Multidomain Semantic Modeling Approach (asce library),
    Journal of Management in Engineering, ASCE, Volume 38, Issue 5, September 2022.
    News (Sep't 1, 2022): Our paper has been selected for the Editor's Choice Collection at ASCE.
  • Delgoshaei P., Heidarinejad M., and Austin M.A., A Semantic Approach for Building System Operations:
    Knowledge, Representation and Reasoning (Special Issue on Modeling Building Energy and Environmental Systems
    in the Built Environment) (pdf), Sustainability, 14(10), 5810, May 2022.
  • Coelho M., Austin M.A., Mishra S., and Blackburn M.R., Teaching Machines to Understand Urban Networks:
    A Graph Autoencoder Approach (pdf), International Journal on Advances in Networks and Services,
    Vol 13, No 3&4, December, 2020, pp. 70-81.
  • Austin M.A., Delgoshaei P., Coelho M. and Heidarinejad M., Architecting Smart City Digital Twins: Combined
    Semantic Model and Machine Learning Approach (Special Collection on Engineering Smarter Cities with Smart City
    Digital Twins) (asce library), Journal of Management in Engineering, ASCE, Volume 36, Issue 4, July 2020.
  • Austin M.A. and Johnson J. , Compositional Approach to Distributed System Behavior Modeling and
    Formal Validation of Infrastructure Operations with Finite State Automata: Application to Viewpoint-Driven
    Verification of Functionality in Waterways (pdf), Systems, Vol. 6, No. 2, January 2018, p. 28.
  • Coelho M., Austin M.A. and Blackburn M.R. , Semantic Behavior Modeling and Event-Driven Reasoning for
    Urban System of Systems (pdf), International Journal on Advances in Intelligent Systems,
    Vol. 10, No 3 and 4, December 2017, pp. 365-382.
  • Delgoshaei P. and Austin M.A. , Framework for Knowledge-Based Fault Detection and Diagnostics in
    Multi-Domain Systems: Application to Heating Ventilation and Air Conditioning Systems (pdf),
    International Journal on Advances in Intelligent Systems, Vol. 10, No 3 and 4, December 2017, pp. 393-409.
  • Petnga L. and Austin M.A. , Model-Based Design and Formal Verification Processes for Automated Waterway
    System Operations (pdf), Systems: Special Issue on Product, Process, System Design Review Methods and
    Tools, Vol. 4, No. 2, June 2016, p. 23.
  • Petnga L. and Austin M.A. , An Ontological Framework for Knowledge Modeling and Decision Support in
    Cyber-Physical Systems (pdf), Advanced Engineering Informatics, Vol. 30, No. 1, January 2016, pp. 77-94.


  • Coelho M., and Austin M.A. , Teaching Machines to Understand Urban Networks (pdf),
    The Fifteenth International Conference on Systems (ICONS 2020), Lisbon, Portugal, February 23-27, 2020, pp. 37-42.
    Best Paper Award.
  • Coelho M., Austin M.A. and Blackburn M. , Distributed System Behavior Modeling of Urban Systems with Ontologies,
    Rules and Many-to-Many Association Relationships (pdf),
    The Twelth International Conference on Systems (ICONS 2017), Venice, Italy, April 23-27, 2017, pp. 10-15.
    Best Paper Award.
  • Arellano A., Carney E. and Austin M.A. , Natural Language Processing of Textual Requirements (pdf),
    The Tenth International Conference on Systems (ICONS 2015), Barcelona, Spain, April 19-24, 2015.
    Best Paper Award.
  • Austin M.A., Delgoshaei P. and Nguyen A. , Distributed Systems Behavior Modeling with Ontologies, Rules, and
    Message Passing Mechanisms (pdf), Procedia Computer Science, vol. 44, pp. 373--382, 2015.
    MITRE Best Transition in Systems Engineering Research Award.
  • Petnga L. and Austin M.A. , Ontologies of Time and Time-based Reasoning for MBSE of Cyber-Physical Systems (pdf),
    Procedia Computer Science, vol. 16, pp. 403--412, 2013.
    Best Conference Paper Award.
  • Mosteller M., Austin M.A., Yang S. and Ghodssi R. , Platforms for Engineering Experimental Biomedical Systems (pdf),
    14th Annual International Symposium of The International Council on Systems Engineering (INCOSE 2012),
    Rome, Italy, July 9-12, 2012.
    Best Paper Award.

Click here for older publications.

Last Modified: January 26, 2024.