Daniel P. Palomar is affiliated with the Hong Kong University of Science and Technology in China. Their research output spans multiple domains within computer science and mathematics, focusing on specialized fields such as statistics, probability, management science, operations research, artificial intelligence, finance, and signal processing.
The scientist's work covers several main topics including:
They have published extensively, with frequent contributions to venues such as arXiv (Cornell University), IEEE Transactions on Signal Processing, Signal Processing, TUbilio (Technical University of Darmstadt), and Nature Communications.
Recent papers authored by Daniel P. Palomar include:
Collaboration is a significant aspect of their research, with frequent coauthors including Jiaxi Ying, Jasin Machkour, Michael Muma, José Vinícius de Miranda Cardoso, and Rui Zhou.
Daniel P. Palomar has authored a book titled Portfolio Optimization, published by Cambridge University Press in 2025.
D.P. Palomar;Mung Chiang
Ying Sun;Prabhu Babu;Daniel P. Palomar
D.P. Palomar;J.M. Cioffi;M.A. Lagunas
M. Chiang;Chee Wei Tan;D.P. Palomar;D. O'Neill
Yongwei Huang;D.P. Palomar
D.P. Palomar;J.R. Fonollosa
I. Atzeni;L. G. Ordonez;G. Scutari;D. P. Palomar
Daniel P. Palomar;Yonina C. Eldar
Gesualdo Scutari;Daniel Palomar;Francisco Facchinei;Jong-shi Pang
D.P. Palomar;S. Verdu
D.P. Palomar;Mung Chiang
Daniel P. Palomar;Yi Jiang
Junxiao Song;Prabhu Babu;Daniel Pérez Palomar
Gesualdo Scutari;Francisco Facchinei;Peiran Song;Daniel P. Palomar
A. Pascual-Iserte;D.P. Palomar;A.I. Perez-Neira;M.A. Lagunas
G. Scutari;D.P. Palomar;S. Barbarossa
G. Scutari;D.P. Palomar;S. Barbarossa
Junxiao Song;Prabhu Babu;Daniel P. Palomar
G. Scutari;D. Palomar;S. Barbarossa
Xi Zhang;D.P. Palomar;B. Ottersten
Daniel P. Palomar
Daniel P. Palomar;Sergio Verdú
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