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Avipsa Roy
Ph.D. Geography
Graduate Assistant/Associate
TEMPE Campus
Mailcode
5302
Grad Teaching Assistant
Graduate Assistant/Associate
TEMPE Campus
Mailcode
5302
Student Information
Graduate Student
Geography
The College of Lib Arts & Sci
Geography
The College of Lib Arts & Sci
Biography
Avipsa 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.
Education
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 developing data driven solutions using big data to answer questions for a wide range of topics including active transportation, human mobility patterns and public health. She uses machine learning and statistical tools to develop generalizable frameworks that can help in making informed decision about transportation planning, infrastructure management and public health by policymakers.
She has also collaborated with National Labs on several other research problems involving built environment monitoring from LIDAR data, assessing the resilience of transportation networks in the face of natural hazards, monitoring and characterizing the spread of COVID-19 using social vulnerability indicators & human mobility patterns. Some of her earlier work has also been in collaboration with the industry where she has developed an open source crime density mapping tool from real time data using Python.
The tools she develops as part of her research are highly robust and generalizable - they can be used to answer different research questions base don availability of data for multiple study areas. My research is highly interdsciplnary and the models I develop have direct and indirect policy implications.
Research Group
Spatial Analysis and Research Center (SPARC)
Publications
6. Nelson TA, Roy A, Ferster CJ, Fischer J, Brum-Bastos VDB, Winters M and Laberee K.“Generalized Model for Mapping Bicycle Ridership with Crowdsourced Data”, In Transportation Research Board Part C: Emerging Technologies (2021).https://doi.org/10.1016/j.trc.2021.102981
5. Roy A , Kar B. "Characterizing the Spread of COVID-19 from Human Mobility Patterns and SocioDemographic Indicators", ARIC'20, ACM SIGSPATIAL. https://doi.org/10.1145/3423455.3430303 (2020)
4. Roy A, Fuller D, Stanley K, Nelson TA. 2020. “Classifying Transport Mode from Global Positioning Systems and Accelerometer Data: A Machine Learning Approach.” Transport Findings. https://doi.org/10.32866/001c.14520.(2020)
3. Roy A,Nelson TA.,Fotheringham AS, Winters M. 2019. "Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists." Urban Science. https://doi.org/10.3390/urbansci3020062 (2019)
2. Roy, A, Fouche E, Rodriguez RA, Moehler G. "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. https://doi.org/10.1145/3356395.3365546 (2019)
1. Roy, A, Pebesma E. "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. https://doi.org/10.1145/3055601.3055603 (2017)
Research Activity
- Machine Learning model to identify neighborhoods most at risk for COVID-19, ASU Now, November 2020.
- Using AI to build healthy and safe transportation in cities, ASU Now, September 2020.
- Artificial Intelligence for Healthy Transportation Planning, Medium.com, May 2020.
- Using Python to Study Patterns in Bicycle Related Incidents from Crowdsourced Data, Bikemaps.org, November 2019.
- Correcting bias in crowdsourced fitness app data to map bicycling ridership, ASU SGSUP News, July 2019.
Courses
| Fall 2020 | |
|---|---|
| Course Number | Course Title |
| GIS 222 | Programming Principles GIS I |
| GIS 322 | Programming Principles GIS II |
Honors/Awards
- Received Graduate Professional Development Award from the School of Geographical
Sciences an Urban Planning, ASU, for participation in professional development
activities (2020). - 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)
Service
- Student Director American Association of Geographers - Geographic Information Science & Systems Specialty Group (2020-2021)
- 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)
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