PeopleofSuperintelligence

Researcher

Daniel P. Palomar

Also known as Daniel Palomar, Daniel Pérez Palomar

Daniel Palomar is an optimization researcher whose work spans signal processing, machine learning, and financial data. He earned an electrical-engineering doctorate at the Technical University of Catalonia in 2003, held a Fulbright appointment at Princeton by 2006, and joined HKUST in 2006. He became an IEEE Fellow in 2013, coauthored a majorization-minimization review selected for the 2020 IEEE Signal Processing Society Young Author Best Paper Award, and became a EURASIP Fellow in 2024. In 2024, he coauthored a paper on false-discovery-rate control, and in 2025 he published Portfolio Optimization: Theory and Application. As of October 2026, he is a professor in HKUST's Department of Electronic and Computer Engineering.

Works
445
Citations
21,014
h-index
62
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2003

    A doctorate at UPC

    He earns a PhD in electrical engineering from the Technical University of Catalonia in 2003.

  2. By 2006

    A Fulbright appointment at Princeton

    He serves as a Fulbright Scholar at Princeton University by 2006.

  3. 2006

    Joining HKUST

    He joins HKUST's Department of Electronic and Computer Engineering in 2006.

  4. 2013

    Becoming an IEEE Fellow

    He becomes an IEEE Fellow in 2013 for contributions to convex optimization-based signal processing for communications.

  5. 2020

    A Young Author paper award

    The 2017 review he coauthors with Ying Sun and Prabhu Babu is selected for the 2020 IEEE Signal Processing Society Young Author Best Paper Award.

  6. 2024

    A fellowship and T-Rex paper

    In 2024, he is elevated to EURASIP Fellow and coauthors High-Dimensional False Discovery Rate Control for Dependent Variables, which integrates hierarchical graphical models within the T-Rex framework to control false discovery rates.

  7. 2025

    A portfolio optimization book

    In 2025, he publishes Portfolio Optimization: Theory and Application, a guide to financial data modeling and portfolio design; he uses it as the dedicated textbook for HKUST's Data-Driven Portfolio Optimization course in Spring 2025–26.

  8. As of October 2026

    Professor at HKUST

    As of October 2026, he is a professor in HKUST's Department of Electronic and Computer Engineering.

Career

  1. Since 2007Hong Kong University of Science and TechnologyProfessor
  2. 2006–2008Princeton UniversityFulbright Scholar
  3. 1999–2008Universitat Politècnica de Catalunya

Education

  1. 2003Polytechnic University of CataloniaPhD in electrical engineering

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

Most-cited works

  1. Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning2016 · IEEE Transactions on Signal Processing · 1,810 citations
  2. A tutorial on decomposition methods for network utility maximization2006 · IEEE Journal on Selected Areas in Communications · 1,646 citations
  3. Joint tx-rx beamforming design for multicarrier mimo channels: a unified framework for convex optimization2003 · IEEE Transactions on Signal Processing · 1,184 citations
  4. Power Control By Geometric Programming2007 · IEEE Transactions on Wireless Communications · 887 citations
  5. Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming2009 · IEEE Transactions on Signal Processing · 561 citations

From OpenAlex, as of 19 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Hong Kong University of Science and Technology. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes Hong Kong University of Science and Technology. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Hong Kong University of Science and Technology. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other universityIncludes Princeton University. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Daniel P. PALOMAR | Department of Electronic & Computer Engineering ece.hkust.edu.hk. Checked 19 October 2026.
  2. CTTC Seminar: Graph Learning with Applications in Financial Markets cttc.cat. Checked 19 October 2026.
  3. 46 SPS Members Elevated to IEEE Fellow signalprocessingsociety.org. Checked 19 October 2026.
  4. Research paper co-authored by Prof. Daniel Palomar and PhD alumna Ying Sun selected for 2020 IEEE SPS Young Author Best Paper Award ece.hkust.edu.hk. Checked 19 October 2026.
  5. Prof. Daniel Palomar elevated to EURASIP Fellow seng.hkust.edu.hk. Checked 19 October 2026.
  6. High-Dimensional False Discovery Rate Control for Dependent Variables arxiv.org. Checked 19 October 2026.
  7. Portfolio Optimization: Theory and Application cambridge.org. Checked 19 October 2026.
  8. ELEC3180 - Data-Driven Portfolio Optimization (UG Program) danielppalomar.com. Checked 19 October 2026.