PeopleofSuperintelligence

Researcher

Dan Feldman

Dan Feldman is a computer scientist at the University of Haifa who develops coreset algorithms for big data, machine learning and robotics. He earned his doctorate at Tel Aviv University in 2010 and conducted postdoctoral work at Caltech and MIT before establishing Haifa's Robotics and Big Data Laboratory in 2014. His research applied coresets to sparse data and least-mean-squares solvers, while the Haifa lab develops real-time methods for data from robot sensors. At the Blue Limassol Forum in May 2025, he was set to present a drone and e-platform project for marine pollution monitoring, and his 2026 research developed linear-time coresets for segment clustering. As of October 2026, he is an associate professor in Haifa's Faculty of Computer & Information Science.

Works
122
Citations
2,724
h-index
27

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2010

    A doctorate at Tel Aviv

    He earns a PhD at Tel Aviv University in 2010 under Micha Sharir and Amos Fiat.

  2. By 2012

    Postdoctoral work at MIT and Caltech

    By 2012, he has spent a year and a half as a postdoc at Caltech's Center for the Mathematics of Information and works in MIT's Distributed Robotics Lab. At MIT, he develops systems for streaming data from sensors, smartphones, images and robots.

  3. 2014

    Building Haifa's robotics lab

    In 2014, he establishes the Robotics and Big Data Laboratory in the University of Haifa's Computer Science Department. The lab designs coreset algorithms for real-time learning on large datasets, including data from robot sensors.

  4. 2016

    Coresets for sparse data

    At the Annual Conference on Neural Information Processing Systems in 2016, he and Mikhail Volkov coauthor a coreset method with Daniela Rus for sparse datasets. They apply it to Wikipedia's 1.4-million-article, 4.4-million-word matrix, using low-rank approximation to identify its 100 most common topics; the technique serves tools used in natural-language processing, computer vision and signal processing.

  5. 2019

    Fast and accurate LMS solvers

    With Alaa Maalouf and Ibrahim Jubran, he coauthors Fast and Accurate Least-Mean-Squares Solvers at NeurIPS in 2019. Their algorithm returns a weighted subset of d+1 vectors that preserves the input sum and can speed existing LMS solvers by up to 100×. The paper receives an Outstanding Paper Honorable Mention.

  6. May 2025

    Drones for marine monitoring

    In May 2025, Professor Dan Feldman is set to present a research project with Andreas Constantinides at the Blue Limassol Forum. The project develops an e-platform and drones for risk assessment and marine pollution monitoring; Feldman heads the New Robotics & Big Data Labs at the University of Haifa.

  7. 2026

    Coresets for segment clustering

    With David Denisov, Shlomi Dolev and Michael Segal, he coauthors a method for k-means clustering of segments in 2026. It builds a small weighted coreset in linear time, and its experiments include real-time video tracking.

  8. As of October 2026

    Associate professor at Haifa

    As of October 2026, he is an associate professor at the University of Haifa in the Faculty of Computer & Information Science and Department of Computer Science.

Career

  1. Since 2014University of HaifaFounder, Associate Professor
  2. 2012–2014Massachusetts Institute of Technology
  3. 2012–2014MIT CSAIL
  4. 2011–2012California Institute of TechnologyPostdoctoral Researcher

Education

  1. 2010Tel Aviv UniversityDoctorate

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Massachusetts Institute of Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Massachusetts Institute of Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Haifa. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google had the most people shaping AI every year from 2014 to 2025Includes Massachusetts Institute of Technology. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Dan Feldman yet. Send us a free-licensed photo.

  1. Learning patterns in Big Data from small data using core-sets, Nov 8 citris-uc.org. Checked 22 October 2026.
  2. Caesarea Rothschild Institute - Research Laboratories cri.hevra.haifa.ac.il. Checked 22 October 2026.
  3. Making big data manageable | MIT News news.mit.edu. Checked 22 October 2026.
  4. Fast and Accurate Least-Mean-Squares Solvers proceedings.neurips.cc. Checked 22 October 2026.
  5. Fast-and-Accurate-Least-Mean-Squares-Solvers | GitHub github.com. Checked 22 October 2026.
  6. EU Commissioner Costas Kadis to deliver keynote speech at the Blue Limassol Forum 2025 frederick.ac.cy. Checked 22 October 2026.
  7. Linear Time Small Coresets for k-Mean Clustering of Segments with Applications cris.haifa.ac.il. Checked 22 October 2026.
  8. Dan Feldman - University of Haifa cris.haifa.ac.il. Checked 22 October 2026.