Avipsa Roy

Ph.D. Geography
Graduate Assistant/Associate
TEMPE Campus
Grad Research Assistant
Graduate Assistant/Associate
TEMPE Campus

Student Information

Graduate Student
The College of Lib Arts & Sci


Avipsa was born in Kolkata, India. She has lived and worked in a number of different cities like Bangalore (India), Muenster, Stuttgart (Germany) before moving to Tempe. She completed her Bachelors degree in Computer Science from University of Calcutta and then moved on to complete her masters degree in Geoinformatics from Wilhelms Westfaelische Universitaet in Muenster. Her research primarily focuses on developing computational & statistical methods to solve a number of spatial-temporal problems -  identifying trends in active transportation (eg: bicycling) patterns in urban areas from crowdsourced data, understanding movement behavior in terrestrial animals (grizzly bears) and performing image segmentation by integrating multiple sensor modalities (LiDAR, Thermal Imagery) for terrestrial object detection. In her spare time she likes to travel, read and learn about different regional cultures across the world. She is also interested in photography, music and dance.



PhD Geography (Computational Spatial Science), Arizona State University (Fall 2017 onwards)

MS in Geoinformatics, University of Muenster, Germany (2017)

BS in Computer Science, University of Calcutta, India (2010)


Google Scholar

Research Interests

Avipsa's research interest lies in analysing big geospatial datasets using machine learning techniques from an interdisciplinary aspect. She is exploring the realm of applynig machine learning algorithms to spatial datasets using open source statistical software to answer questions relating to active transportation, movement patterns and environmental health. Currently Avipsa is working with Dr. Trisalyn Nelson in the SPARC Lab and exploring research questions in a similar direction.

Research Group

Spatial Analysis and Research Center (SPARC)



  • Roy, Avipsa; Nelson, Trisalyn A.; Fotheringham, A. S.; Winters, Meghan. 2019. "Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists." Urban Sci. 3, no. 2: 62. https://doi.org/10.3390/urbansci3020062


  • "In-Database Geospatial Analytics using Python", In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC'19),Illinois, Chicago, USA. DOI: https://doi.org/10.1145/3356395.3365546
  • "A Machine Learning Approach to Demographic Prediction using Geohashes". Avipsa Roy and Edzer Pebesma. 2017, In Proceedings of the 2nd International Workshop on Social Sensing(SocialSens'17). ACM, New York, NY, USA, 15-20. DOI: https://doi.org/10.1145/3055601.3055603

Conference Presentations

  •  Avipsa Roy et al. (2019), "Understanding the Effects of Fluid Injection on Induced Seismicity in Oklahoma using Machine Learning", to be presented at AGU Fall Meeting 2019, San Francisco, USA (Dec 9-13, 2019).
  • Avipsa Roy et al.(2019), "In-Database Geospatial Analytics using Python", to be presented at ACM SIGSPATIAL 2019 - International Workshop on Advances in Resilient and Intelligent cities, Chicago,USA (Nov 5-8, 2019).
  • Avipsa Roy et al.(2019),  "A bias-correction framework to map ridership of all bicyclists", presented at American Association of Geographers Annual Meeting, Washington DC,USA (2019).
  • Avipsa Roy et al. (2018), Feature Detection and Geovisualisation from LiDAR point clouds and Aerial Photography using Bayesian Non Parametric Clustering [IN51D-1315] presented at 2018 Fall Meeting, AGU, Washington, D.C., 10-14 Dec.
  • Roy, Avipsa, and Trisalyn Nelson. "Bias correction in geolocated crowdsourced data from Strava using Machine Learning based linear models." EGU General Assembly Conference Abstracts. Vol. 20. 2018.
  • "Ibmdbpy-spatial : An Open-source implementation of in-database geospatial analytics in Python". Avipsa Roy et al. Geophysical Research Abstracts Vol. 19, EGU2017-10205-2, 2017 EGU General Assembly 2017 
  •  "Relative linkages of peatland methane and carbon dioxide fluxes with climatic, environmental and ecological parameters and their inter-comparison." Banerjee, T., Hommeltenberg, J., Roy, A., De Roo, F., & Mauder, M. (2016). EGU General Assembly Conference Abstracts. Vol. 18. 2016.


Research Activity

  • Invited Talk on “Role of crowdsourced big data in detecting mobility patterns from active transportation modes in urban areas”, Institute of Transportation Studies, Seminar Series, University of California, Irvine (May 2019).
  • Invited Talk on “Expanding coverage using crowdsourced bicycle ridership data”, Institute for Transportation Engineers/International Municipal Signal Association Spring Conference, Phoenix. (February 2019).
  • LANL Student Symposium poster on "Feature Detection and Geovisualization from LiDAR point cloud and Thermal Imagery" at Los Alamos National Laboratory, Los Alamos, NM, USA (August 2018).
  • Scipy - Scientific Python conference poster "Predicting Bicycle Ridership using generalized linear models from scikit-learn library". (July 2017)
  • Wrote a Blog post for Bikemaps.org to analyse "Bicycle Safety in Phoenix metropolitan area using Jupyter Notebooks."( November 2017)



  • Received Graduate Professional Development Award from the School of Geographical
    Sciences an Urban Planning, ASU, for participation in professional development
  • Received NSF Mathematical Sciences Graduate Fellowship for Summer internship in Human mobility pattern detection at Oak Ridge National Laboratory (March 2020)
  • Received University Graduate Fellowship, Arizona State University for academic performance (2019-2020).
  • Received  NSF Travel Fellowship from the Association of Computing Machinery (ACM) executive committee for ACM SIGPSATIAL'19 conference to present a talk titled "In-Database Geospatial Analytics using Python" as part of the2nd International Workshop on Advances in Resilient and Intelligent Cities (October 2019).
  • Received  NSF Travel Fellowship from the Institute of Mathematical Applications (IMA) at the University of Minnesota to participate in a workshop focused on "Advances in Machine Learning and Computational Methods in Geosciences" organised jointly by the Los Alamos National Laboratory and the Arizona State University (October 2018).
  • Received John F. Lounsbury travel fellowship from the School of geographical Sciences and Urban Planning for the academic year 2017-2018.
  • Received University Graduate Fellowship from Arizona State University for the academic year 2017-2018.
  • Received a travel grant from Euroscipy organizing Committee to present my workon the Python package "ibmdbpy", created as part of an internship with IBM Research and Development GmbH, Boeblingen, Germany (2016).
  • Received the "ACE award for innovation excellence" while working as a Software Engineer in Accenture, Bangalore, India (2014).
  • Received the "Ranjan Ray Memorial Award" for securing the first position in BSc Computer Science Hons. (2011).

Professional Associations

  • Student Member - American Geophysical Union (AGU)
  • Student Member - American Association for Geographers (AAG)
  • Student Member - Association for Computing Machinery (ACM)
  • Student Member - Institute of Electrical and Electronics Engineers (IEEE)
  • Student Member - European Geosciences Union (EGU)


  • Graduate Professional Students Association Awards Reviewer (2019-2020)
  • International Student Representative SGSUP Graduate Student Committee (2017-2018)
  • Scipy'18 Conference Proceedings Reviewer (July 2018)

Work History

  • NSF Graduate Research Fellow at Oak Ridge National Laboratory (May-July, 2020)
  • Graduate Research Summer Intern at Los Alamos National Laboratory (June-August, 2019)
  • Graduate Research Summer Intern at Los Alamos National Laboratory (June-August, 2018)

Industry Positions

  •  MS Thesis Student, IBM Research, Germany (2017)
  • Geospatial Analytics Intern, IBM Research, Germany (2015-2016)
  • Technical Analyst , Cognizant Technology Solutions, India(2010-2013)
  • Software Engineer, Accenture, India (2013-2015)