About

I am a Ph.D. student in Computer Science at the University of Cambridge, working with Prof. Cecilia Mascolo and funded by Nokia Bell Labs. I am also a graduate student at Murray Edwards (New Hall) College and part of the Centre for Mobile, Wearable Systems and Augmented Intelligence.

I received my BEng and MEng in Computer Engineering from the University of Bologna and completed my Master Thesis at Telekom Innovation Laboratories (T-Labs) focusing on social media analysis to understand and predict users' lifestyle. After my studies, I did an internship at Nokia Bell Labs working on using deep learning for processing mobile sensor data within device constraints (such as energy and computation).

Prior to my Ph.D I worked as a Software Engineer at Ellexus, Future Cities Catapult, and GeoSpock.

By the way, check out my work.

Work

Publications

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Vienna, Austria, April 2016

DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. [Best Paper Award]
Nicholas D. Lane, Petko Georgiev, Lorena Qendro
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '15, Osaka, Japan, September 2015

Contact


Department of Computer Science and Technology
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD, UK

office: FN01
e-mail: name dot surname at cl dot cam dot ac dot uk

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