Vanessa Frias-Martinez
Professor
Applies spatio-temporal data mining to human mobility and urban data for decisions on poverty, disasters and planning.
Vanessa Frias-Martinez's lab at UMD works on time series, anomaly & spatio-temporal data and data management & big data. 9 papers since 2023, 1 at top venues, mostly CHI and Findings of EMNLP.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 11%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 0
- 1 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOtherVenues: CHI, Findings of EMNLP
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data4 papers
- Data management & big data4 papers
- decisions1 paper
- mobility1 paper
- spatio-temporal data0 papers
Paper list
From DBLP.
20262 papers
20252 papers
20241 paper
20234 papers
- ACM J. Comput. Sustain. Soc.Analysis of Performance Improvements and Bias Associated with the Use of Human Mobility Data in COVID-19 Case Prediction Models (opens in a new tab)
- Comput. Environ. Urban Syst.Auditing the fairness of place-based crime prediction models implemented with deep learning approaches (opens in a new tab)
- IEEE Trans. Comput. Soc. Syst.Framework to Study Migration Decisions Using Call Detail Record (CDR) Data (opens in a new tab)
- COMPASSThe BALTO Toolkit - A New Approach to Ethical and Sustainable Data Collection for Equitable Public Transit (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.