Daniel

PEREZ PALOMAR

鋒 西 龍

Fulbright, Princeton Univ.
PhD, Technical Univ. of Catalonia
Fellow, IEEE

Daniel P. Palomar (S'99-M’03-SM’08-F’12) received the Electrical Engineering and Ph.D. degrees from the Technical University of Catalonia (UPC), Barcelona, Spain, in 1998 and 2003, respectively, and was a Fulbright at Princeton University.

He is a Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST), Hong Kong, which he joined in 2006. Since 2013 he is a Fellow of the Institute for Advance Study (IAS) at HKUST. He had previously held several research appointments, namely, at King's College London (KCL), London, UK; Stanford University, Stanford, CA; Telecommunications Technological Center of Catalonia (CTTC), Barcelona, Spain; Royal Institute of Technology (KTH), Stockholm, Sweden; University of Rome “La Sapienza”, Rome, Italy; and Princeton University, Princeton, NJ.

His current research interests include applications of convex optimization theory and signal processing to financial systems and big data analytics.

He has been a Guest Editor of the IEEE Journal of Selected Topics in Signal Processing 2016 Special Issue on “Financial Signal Processing and Machine Learning for Electronic Trading”, an Associate Editor of IEEE Transactions on Information Theory and of IEEE TRANSACTIONS ON SIGNAL PROCESSING, a Guest Editor of the IEEE SIGNAL PROCESSING MAGAZINE 2010 Special Issue on “Convex Optimization for Signal Processing,” the IEEE Journal on Selected Areas in Communications 2008 Special Issue on “Game Theory in Communication Systems,” and the IEEE Journal on Selected Areas in Communications 2007 Special Issue on “Optimization of MIMO Transceivers for Realistic Communication Networks.”

Multi-disciplinary Theme

Big Data Systems (BDS)