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Luca Daniel

Professor
Computer Science and Engineering
Massachusetts Institute of Technology (MIT)
United States of America

Biography

Luca Daniel is a Full Professor in the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology (MIT). Prof. Daniel received the Ph.D. degree in Electrical Engineering from the University of California, Berkeley, in 2003. Industry experiences include HP Research Labs, Palo Alto (1998) and Cadence Berkeley Labs (2001). Dr. Daniel current research interests include integral equation solvers, uncertainty quantification and parameterized model order reduction, applied to RF circuits, silicon photonics, MEMs, Magnetic Resonance Imaging scanners, and the human cardiovascular system. Prof. Daniel was the recipient of the 1999 IEEE Trans. on Power Electronics best paper award; the 2003 best PhD thesis awards from the Electrical Engineering and the Applied Math departments at UC Berkeley; the 2003 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation; the 2009 IBM Corporation Faculty Award; the 2010 IEEE Early Career Award in Electronic Design Automation; the 2014 IEEE Trans. On Computer Aided Design best paper award; and seven best paper awards in conferences. Luca Daniel is a Full Professor in the Electrical Engineering and Computer Science Department of the Massachusetts Institute of Technology (MIT). Prof. Daniel received the Ph.D. degree in Electrical Engineering from the University of California, Berkeley, in 2003. Industry experiences include HP Research Labs, Palo Alto (1998) and Cadence Berkeley Labs (2001). Dr. Daniel current research interests include integral equation solvers, uncertainty quantification and parameterized model order reduction, applied to RF circuits, silicon photonics, MEMs, Magnetic Resonance Imaging scanners, and the human cardiovascular system. Prof. Daniel was the recipient of the 1999 IEEE Trans. on Power Electronics best paper award; the 2003 best PhD thesis awards from the Electrical Engineering and the Applied Math departments at UC Berkeley; the 2003 ACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation; the 2009 IBM Corporation Faculty Award; the 2010 IEEE Early Career Award in Electronic Design Automation; the 2014 IEEE Trans. On Computer Aided Design best paper award; and seven best paper awards in conferences.

Research Interest

Simulation; Model order reduction; Stochastic integral equation solvers; Magnetic Resonance Imaging; Human cardiovascular system; MEMs and circuit simulation.

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