Scholar
Phillip Stanley-Marbell
Google Scholar ID: N_au3C4AAAAJ
University of Cambridge
Citations & Impact
Citations
633
H-index
14
i10-index
19
Publications
20
Co-authors
62
list available
Publications
Resume
Academic Achievements
- Published several peer-reviewed research papers, such as 'Efficient Programmable Random Variate Generation Accelerator From Sensor Noise' in IEEE Embedded Systems Letters and 'Machine Learning for Sensor Transducer Conversion Routines' on arXiv. Received Best Paper Award from ACM Transactions on Embedded Computing Systems.
Research Experience
- Worked as an intern/engineer at Bell Labs, Technische Universiteit Eindhoven, IBM Research (Zürich), and Apple (Cupertino). From 2014-2017, was at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and joined the University of Cambridge as a faculty member in 2017.
Education
- B.Sc., 1999 (Rutgers); M.Sc., 2001 (Rutgers); Ph.D., 2007 (Carnegie Mellon).
Background
- Full Professor (Chair of Physical Computation) in the Electrical Engineering Division of the Department of Engineering at the University of Cambridge, leading the Physical Computation Laboratory. Recently a Royal Academy of Engineering Enterprise Fellow and Faculty Fellow at the Alan Turing Institute, co-leading the Interest Group on AI in Resource- and Data-Constrained Environments. Founder and CEO/CTO at Signaloid, a University of Cambridge spin out that provides hardware for uncertainty-tracking computation.
Miscellany
- Actively involved in research-driven education activities both within the University and to a wider online audience, and in science for public policy.
