Panos Ipeirotis
Professor of Information, Operations. Data Science, and Management Sciences
Studies crowdsourcing, data quality and online labor markets, including quality control for human annotation in machine learning.
Panos Ipeirotis's lab at NYU works on time series, anomaly & spatio-temporal data and data management & big data. 4 papers since 2023, 1 at top venues, mostly Management Science. 1 PhD student. 9 alumni, most often to Google and JP Morgan AI Research. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 25%
- PhD students
- 1
- MS students
- 0
- alumni listed
- 9
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 1 papers2024 · T1 0
- 1 papers2023 · T1 1
T1 venuesOtherVenues: Management Science
Research focuspaper titles that use each topic's words
- crowdsourcing1 paper
- Time series, anomaly & spatio-temporal data0 papers
- Data management & big data0 papers
- quality0 papers
- stern0 papers
Paper list
From the lab homepage.
20261 paper
- Communications of ACMScalable and Personalized Oral Assessments Using Voice AI (opens in a new tab)
20251 paper
- ICISCan Autoencoders Replace Attention Checks to Detect Inattentive Survey Respondents?
20241 paper
- ACM Collective Intelligence Conference, CIFull Characterization of Adaptively Strong Majority Voting in Crowdsourcing (opens in a new tab)
20231 paper
Where alumni went9 listed, 50% to industry
Industry 4Academia 4
Most often to
- JP Morgan AI Research
- Two Sigma
Also to
- Boston College
- Carnegie Mellon University
- Emory University
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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