Daniel P. PALOMAR

Daniel P. PALOMAR Details

Daniel P. PALOMAR
Daniel P. PALOMAR  

Email

Email
palomar@ust.hk

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Scopus ID

First Name (and Middle Name If Any)
Daniel
P. PALOMAR
Highest Degree Acquired (e.g. PhD in Engineering Science)
PhD in Electrical Engineering, Technical University of Catalonia (UPC)

Contact Information

Email

Email
palomar@ust.hk

Office

Google Scholar

Scopus ID

Research Interests

Research Interests
Big data
Financial econometrics
Financial risk management
Optimization
Signal processing

Biography

Biography

Prof. Daniel P. Palomar 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, and a Professor in the Department of Industrial Engineering and Decision Analytics 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.”

Research Interests

Research Interests
Big data
Financial econometrics
Financial risk management
Optimization
Signal processing

Biography

Biography

Prof. Daniel P. Palomar 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, and a Professor in the Department of Industrial Engineering and Decision Analytics 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.”