Projects per year
Personal profile
Research interests
Mathematics & Statistics - Optimization
Mathematics & Statistics - Big data
Mathematics & Statistics - Financial econometrics
Mathematics & Statistics - Signal processing
Mathematics & Statistics - Financial risk management
Mathematics & Statistics - Big data
Mathematics & Statistics - Financial econometrics
Mathematics & Statistics - Signal processing
Mathematics & Statistics - Financial risk management
Related documents
Education/Academic qualification
PhD in Electrical Engineering, PhD, Technical University of Catalonia (UPC)
2003
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities
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Dive into the research topics where Daniel PEREZ PALOMAR is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Graph Estimation Methods for Practical Systems
PEREZ PALOMAR, D. (PI)
1/01/24 → 30/06/27
Project: Research
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An Automated Deep Learning Platform for Detecting Diabetic Retinopathy from Ultra-Wide Field Scanning Laser Ophthalmoscope Images
CHEUNG, C. (CoI), QUADEER, A. A. (CoPI), MCKAY, M. R. (CoI), YOUNG, A. L. (CoI) & PEREZ PALOMAR, D. (PI)
Innovation and Technology Commission
1/02/23 → 31/07/24
Project: Research
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Engineering Methods for Resolving Complex Mutational Networks in Proteins
QUADEER, A. A. (PI), AHMED, S. F. (PI), MCKAY, M. (PI) & PEREZ PALOMAR, D. (CoI)
1/01/23 → 31/12/25
Project: Research
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Data-Driven Methods For Large-Scale Network Inference
PEREZ PALOMAR, D. (PI)
1/01/21 → 31/12/23
Project: Research
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Deep learning models for predicting antigenic properties of influenza
MCKAY, M. R. (CoI), LASSIG, M. (CoI) & PEREZ PALOMAR, D. (PI)
1/07/20 → 30/06/23
Project: Research
Research output
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An efficient and unified framework for downlink linear precoding with QoS constraints
Hou, R., Wang, J., Zhou, R., Palomar, D. P., Gao, X. & Ottersten, B., 2026, In: IEEE Transactions on Signal Processing. 74, p. 276-292 17 p., 11293380.Research output: Contribution to journal › Journal Article › peer-review
Open Access -
An Optimization Algorithm for State Estimation under Heavy-tailed and Skewed Noise
Yu, Y. & Palomar, D. P., 2026, In: IEEE Transactions on Signal Processing. 74, p. 3740-3756 17 p., 11656865.Research output: Contribution to journal › Journal Article › peer-review
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Learning False Discovery Rate Control via Model-Based Neural Networks
Vilella Pique, A., MacHkour, J., Muma, M. & P. Palomar, D., 21 Apr 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers Inc., 5 p. 11463077Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
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Missing Data in Signal Processing and Machine Learning: Models, Methods, and Modern Approaches
Hippert-Ferrer, A., Sportisse, A., JAVAHERI, S. A., Korso, M. N. E. & P. PALOMAR, D., Jul 2026, In: IEEE Signal Processing Magazine. 43, 4, p. 14-35 22 p., 11655390.Research output: Contribution to journal › Journal Article › peer-review
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Robust Filtering and Learning in State-Space Models: Skewness and Heavy Tails Via Asymmetric Laplace Distribution
Yu, Y., Xiu, S. & Palomar, D. P., 2026, In: IEEE Transactions on Signal Processing. 74, p. 1399-1413 15 p., 11437536.Research output: Contribution to journal › Journal Article › peer-review
2 Link opens in a new tab Citations (Scopus)
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Learning Financial Graphs
PEREZ PALOMAR, D. (Invited speaker)
2 Nov 2022Activity: Talk or presentation › Keynote
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High-Order Portfolios: The Role of Heavy Tails and Skewness
PEREZ PALOMAR, D. (Invited speaker)
21 Oct 2022Activity: Talk or presentation › Plenary
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Learning graphs of stocks: From iid to time-varying models
PEREZ PALOMAR, D. (Invited speaker)
May 2020Activity: Talk or presentation › Plenary
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Financial Engineering Playground: Signal Processing, Robust Estimation, Kalman, HMM, Optimization, et Cetera
PEREZ PALOMAR, D. (Invited speaker)
11 Jun 2018Activity: Talk or presentation › Plenary
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A Signal Processing and Optimization Perspective on Financial Engineering
PEREZ PALOMAR, D. (Invited speaker)
11 Dec 2017Activity: Talk or presentation › Plenary
Awards
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EURASIP Fellow for “contributions to optimization theory and algorithms with applications in communication systems and finance.”
PEREZ PALOMAR, D. (Recipient), Feb 2024
Prize: Fellow / Academician
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Research Excellence Award
PEREZ PALOMAR, D. (Recipient), 1 Apr 2016
Prize: Other Research Award and Prize