Dr Somwrita Sarkar

Senior lecturer

G04 - Wilkinson Building
The University of Sydney

Telephone +61 9351 8555

Research interests

Somwrita's research looks at complex systems and networks in various design, technological and biological domains, and developing models and methods to better understand them. Specifically, she has worked on spectral methods of modularity detection in complex networks and network structure discovery from functional data. An emerging principal area of interest in her work is city science research and urban computing, where she aims to develop novel data mining and computational methods for solving problems in urban design and planning research, especially focused around the social and economic dynamics of housing and transportation in the city.

Somwrita holds a Bachelor in Urban Planning from the School of Planning and Architecture, New Delhi, an M.Tech. from the Indian Institute of Technology, New Delhi, and a PhD in Design Theory and Methodology from University of Sydney. Her PhD was awarded the Faculty of Architecture, Design, and Planning Exceptional PhD Award and was a finalist for the Rita and John Cornforth University PhD Medal.

Current research students

Project title Research student
Visual Consonance in Townscape; Establishing a Psycho-Physical Model to Visually assess Townscape Dheyaa HUSSEIN
Emergence, maintenance, and dissolution of modularity in time-variant evolving networks: Applications for spatio-temporal data mining for big urban data Sachinkumar WASNIK

Current projects

Henry Halloran Trust, Blue Sky Project, 2014-2015, UrbanLab@Sydney: A data analytics and visualization platform for urban planning ($30,876, with Nicole Gurran)

Henry Halloran Trust Research Incubator Fellowship (2015-2017), UrbanHousingLab@Sydney: Data mining and predictive analytics for Sydney's housing market, ($439,589, with Nicole Gurran)

Selected publications

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Book Chapters

  • Sarkar, S. (2015). Spectral (Re)construction of Urban Street Networks: Generative Design Using Global Information from Structure. In John S. Gero and Sean Hanna (Eds.), Design Computing and Cognition '14, (pp. 41-55). Switzerland: Springer International Publishing. [More Information]
  • Sarkar, S., Robinson, P. (2014). Clustering and Modularity in Self-Organized Networks. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 455-468). Berlin, Germany: Springer-Verlag Berlin Heidelberg.
  • Dong, A., Sarkar, S. (2014). Generalized Design Knowledge and the Higher-Order Singular Value Decomposition. In John S. Gero (Eds.), Design Computing and Cognition '12, (pp. 415-432). Dordrecht, Netherlands: Springer Science+Business Media.
  • Sarkar, S., Dong, A., Gero, J. (2009). A Problem Decomposition Method for Conceptual Design. In Amaresh Chakrabarti (Eds.), Research into Design: Supporting Multiple Facets of Product Development, (pp. 59-66). Singapore: Research Publishing Services.

Journals

  • Robinson, P., Zhao, X., Aquino, K., Griffiths, J., Sarkar, S., Pandejee, G. (2016). Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment. NeuroImage, 142, 79-98. [More Information]
  • Sarkar, S., Chawla, S., Robinson, P., Fortunato, S. (2016). Eigenvector dynamics under perturbation of modular networks. Physical Review E, 93(6), 1-7. [More Information]
  • Sarkar, S., Phibbs, P., Simpson, R., Wasnik, S. (2016). The scaling of income distribution in Australia: Possible relationships between urban allometry, city size, and economic inequality. Environment and Planning B: Planning and Design, online (in press), 1-20. [More Information]
  • Sarkar, S., Dong, A. (2015). A Spectral Analysis Software to Detect Modules in a DSM. Journal of Modern Project Management, 3(2), 17-23.
  • Dong, A., Sarkar, S. (2015). Forecasting technological progress potential based on the complexity of product knowledge. Technological Forecasting and Social Change, 90(Part B), 599-610. [More Information]
  • Dong, A., Sarkar, S., Yang, M., Honda, T. (2014). A linguistic approach to assess the dynamics of design team preference in concept selection. Research in Engineering Design, 25(1), 75-92. [More Information]
  • Robinson, P., Sarkar, S., Pandejee, G., Henderson, J. (2014). Determination of effective brain connectivity from functional connectivity with application to resting state connectivities. Physical Review E, 90(1), 1-6. [More Information]
  • Sarkar, S., Dong, A., Henderson, J., Robinson, P. (2014). Spectral Characterization of Hierarchical Modularity in Product Architectures. Journal of Mechanical Design, 136(1), 1-12. [More Information]
  • Sarkar, S., Henderson, J., Robinson, P. (2013). Spectral Characterization of Hierarchical Network Modularity and Limits of Modularity Detection. PloS One, 8(1), 1-11. [More Information]
  • Dong, A., Sarkar, S., Nichols, C., Kvan, T. (2013). The capability approach as a framework for the assessment of policies toward civic engagement in design. Design Studies, 34(3), 326-344. [More Information]
  • Sarkar, S., Dong, A. (2011). Community detection in graphs using singular value decomposition. Physical Review E, 83(4), 046114-1-046114-16. [More Information]
  • Dong, A., Sarkar, S. (2011). Unfixing design fixation: from cause to computer simulation. The Journal of Creative Behavior, 45(2), 147-159. [More Information]
  • Sarkar, S., Dong, A., Gero, J. (2010). Learning symbolic formulations in design: Syntax, semantics, and knowledge reification. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, 63-85. [More Information]
  • Sarkar, S., Dong, A., Gero, J. (2009). Design Optimization Problem Reformulation Using Singular Value Decomposition. Journal of Mechanical Design, 131(8), 081006-1-081006-10. [More Information]

Conferences

  • Dong, A., Sarkar, S., Moullec, M., Jankovic, M. (2016). Eigenvector Rotation as an Estimation of Architectural Change. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2016), Charlotte: American Society of Mechanical Engineers (ASME). [More Information]
  • Dorabjee, R., Bown, O., Sarkar, S., Tomitsch, M. (2015). Back to the Future: Identifying Interface Trends from the Past, Present and Future in Immersive Applications. The 27 Australian Conference on Human-Computer Interaction (HCI) OzCHI 2015, New York: Association for Computing Machinery (ACM). [More Information]
  • Sarkar, S., Dong, A. (2014). A spectral analysis software to detect modules in a DSM. 16th International DSM Conference, Paris, France: Carl Hanser Verlag.
  • Sarkar, S., Chawla, S., Weng, H. (2014). Resilience of human brain functional networks under thresholding. Brain KDD workshop, Knowledge Discovery and Data Mining Conference 2014, New York, USA: 20th Annual Knowledge Discovery and Data Mining Conference 2014.
  • Sarkar, S. (2013). Street network analysis for understanding typology in cities: Case study on Sydney CBD and suburbs. 6th State of Australian Cities Conference (SOAC 2013), Sydney: State of Australian Cities Research Network.
  • Dong, A., Sarkar, S. (2012). Endogenous Progress Potential. ASME 2012 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC/CIE 2012), USA: American Society of Mechanical Engineers (ASME). [More Information]
  • Sarkar, S., Dong, A. (2011). Characterizing Modularity, Hierarchy and Module Interfacing in Complex Design Systems. ASME 2011 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC/CIE 2011), Washington DC USA: American Society of Mechanical Engineers (ASME). [More Information]
  • Kan, J., Gero, J., Sarkar, S. (2010). Using a generic method to study software design cognition. Studying Professional Software Design: An NSF-Sponsored International Workshop.
  • Sarkar, S., Dong, A., Gero, J. (2009). A Problem Decomposition Method for Conceptual Design. International Conference on Research into Design (ICoRD'09), Singapore: Research Publishing Services.
  • Sarkar, S., Dong, A., Gero, J. (2008). A Learning and Inference Mechanism for Design Optimization Problem (Re)-Formulation Using Singular Value Decomposition. ASME 2008 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York City: American Society of Mechanical Engineers (ASME).
  • Sarkar, S., Dong, A., Gero, J. (2008). Learning Symbolic Formulations in Design Optimization. Third International Conference on Design Computing and Cognition, USA: Springer Science+Business Media.
  • Sarkar, S., Gero, J., Saunders, R. (2007). Re-thinking optimization as a computational design tool: a situated agent approach. CAADRIA 2007 12th International Conference on Computer-Aided Architectural Design Research in Asia, Nanjing, China: School of Architecture, Nanjing University.

2016

  • Robinson, P., Zhao, X., Aquino, K., Griffiths, J., Sarkar, S., Pandejee, G. (2016). Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment. NeuroImage, 142, 79-98. [More Information]
  • Sarkar, S., Chawla, S., Robinson, P., Fortunato, S. (2016). Eigenvector dynamics under perturbation of modular networks. Physical Review E, 93(6), 1-7. [More Information]
  • Dong, A., Sarkar, S., Moullec, M., Jankovic, M. (2016). Eigenvector Rotation as an Estimation of Architectural Change. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2016), Charlotte: American Society of Mechanical Engineers (ASME). [More Information]
  • Sarkar, S., Phibbs, P., Simpson, R., Wasnik, S. (2016). The scaling of income distribution in Australia: Possible relationships between urban allometry, city size, and economic inequality. Environment and Planning B: Planning and Design, online (in press), 1-20. [More Information]

2015

  • Sarkar, S., Dong, A. (2015). A Spectral Analysis Software to Detect Modules in a DSM. Journal of Modern Project Management, 3(2), 17-23.
  • Dorabjee, R., Bown, O., Sarkar, S., Tomitsch, M. (2015). Back to the Future: Identifying Interface Trends from the Past, Present and Future in Immersive Applications. The 27 Australian Conference on Human-Computer Interaction (HCI) OzCHI 2015, New York: Association for Computing Machinery (ACM). [More Information]
  • Dong, A., Sarkar, S. (2015). Forecasting technological progress potential based on the complexity of product knowledge. Technological Forecasting and Social Change, 90(Part B), 599-610. [More Information]
  • Sarkar, S. (2015). Spectral (Re)construction of Urban Street Networks: Generative Design Using Global Information from Structure. In John S. Gero and Sean Hanna (Eds.), Design Computing and Cognition '14, (pp. 41-55). Switzerland: Springer International Publishing. [More Information]

2014

  • Dong, A., Sarkar, S., Yang, M., Honda, T. (2014). A linguistic approach to assess the dynamics of design team preference in concept selection. Research in Engineering Design, 25(1), 75-92. [More Information]
  • Sarkar, S., Dong, A. (2014). A spectral analysis software to detect modules in a DSM. 16th International DSM Conference, Paris, France: Carl Hanser Verlag.
  • Sarkar, S., Robinson, P. (2014). Clustering and Modularity in Self-Organized Networks. In Mikhail Prokopenko (Eds.), Guided Self-Organization: Inception, (pp. 455-468). Berlin, Germany: Springer-Verlag Berlin Heidelberg.
  • Robinson, P., Sarkar, S., Pandejee, G., Henderson, J. (2014). Determination of effective brain connectivity from functional connectivity with application to resting state connectivities. Physical Review E, 90(1), 1-6. [More Information]
  • Dong, A., Sarkar, S. (2014). Generalized Design Knowledge and the Higher-Order Singular Value Decomposition. In John S. Gero (Eds.), Design Computing and Cognition '12, (pp. 415-432). Dordrecht, Netherlands: Springer Science+Business Media.
  • Sarkar, S., Chawla, S., Weng, H. (2014). Resilience of human brain functional networks under thresholding. Brain KDD workshop, Knowledge Discovery and Data Mining Conference 2014, New York, USA: 20th Annual Knowledge Discovery and Data Mining Conference 2014.
  • Sarkar, S., Dong, A., Henderson, J., Robinson, P. (2014). Spectral Characterization of Hierarchical Modularity in Product Architectures. Journal of Mechanical Design, 136(1), 1-12. [More Information]

2013

  • Sarkar, S., Henderson, J., Robinson, P. (2013). Spectral Characterization of Hierarchical Network Modularity and Limits of Modularity Detection. PloS One, 8(1), 1-11. [More Information]
  • Sarkar, S. (2013). Street network analysis for understanding typology in cities: Case study on Sydney CBD and suburbs. 6th State of Australian Cities Conference (SOAC 2013), Sydney: State of Australian Cities Research Network.
  • Dong, A., Sarkar, S., Nichols, C., Kvan, T. (2013). The capability approach as a framework for the assessment of policies toward civic engagement in design. Design Studies, 34(3), 326-344. [More Information]

2012

  • Dong, A., Sarkar, S. (2012). Endogenous Progress Potential. ASME 2012 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC/CIE 2012), USA: American Society of Mechanical Engineers (ASME). [More Information]

2011

  • Sarkar, S., Dong, A. (2011). Characterizing Modularity, Hierarchy and Module Interfacing in Complex Design Systems. ASME 2011 International Design Engineering Technical Conference & Computers and Information in Engineering Conference (IDETC/CIE 2011), Washington DC USA: American Society of Mechanical Engineers (ASME). [More Information]
  • Sarkar, S., Dong, A. (2011). Community detection in graphs using singular value decomposition. Physical Review E, 83(4), 046114-1-046114-16. [More Information]
  • Dong, A., Sarkar, S. (2011). Unfixing design fixation: from cause to computer simulation. The Journal of Creative Behavior, 45(2), 147-159. [More Information]

2010

  • Sarkar, S., Dong, A., Gero, J. (2010). Learning symbolic formulations in design: Syntax, semantics, and knowledge reification. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 24, 63-85. [More Information]
  • Kan, J., Gero, J., Sarkar, S. (2010). Using a generic method to study software design cognition. Studying Professional Software Design: An NSF-Sponsored International Workshop.

2009

  • Sarkar, S., Dong, A., Gero, J. (2009). A Problem Decomposition Method for Conceptual Design. In Amaresh Chakrabarti (Eds.), Research into Design: Supporting Multiple Facets of Product Development, (pp. 59-66). Singapore: Research Publishing Services.
  • Sarkar, S., Dong, A., Gero, J. (2009). A Problem Decomposition Method for Conceptual Design. International Conference on Research into Design (ICoRD'09), Singapore: Research Publishing Services.
  • Sarkar, S., Dong, A., Gero, J. (2009). Design Optimization Problem Reformulation Using Singular Value Decomposition. Journal of Mechanical Design, 131(8), 081006-1-081006-10. [More Information]

2008

  • Sarkar, S., Dong, A., Gero, J. (2008). A Learning and Inference Mechanism for Design Optimization Problem (Re)-Formulation Using Singular Value Decomposition. ASME 2008 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York City: American Society of Mechanical Engineers (ASME).
  • Sarkar, S., Dong, A., Gero, J. (2008). Learning Symbolic Formulations in Design Optimization. Third International Conference on Design Computing and Cognition, USA: Springer Science+Business Media.

2007

  • Sarkar, S., Gero, J., Saunders, R. (2007). Re-thinking optimization as a computational design tool: a situated agent approach. CAADRIA 2007 12th International Conference on Computer-Aided Architectural Design Research in Asia, Nanjing, China: School of Architecture, Nanjing University.

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