Manuel Olguín MuñozKTH Royal Institute of Technology | KTH · Information Science and Engineering
Manuel Olguín Muñoz
PhD Electrical Engineering (student)
About
8
Publications
716
Reads
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29
Citations
Citations since 2017
Introduction
Manuel Olguín is a doctoral student at the Division of Information Science and Engineering of the School of Electrical Engineering. His supervisor is professor James Gross, Ph.D, and his current research is focused on the integration of edge computing technologies into cyberphysical systems.
Additional affiliations
January 2018 - May 2018
Position
- Teaching Assistant - Discrete-time Signals and Systems
Description
- T.A. for professor Joakim Jaldén.
March 2015 - July 2016
Position
- Teaching Assistant - Algorithms and Data Structures
Description
- T.A. for professor Jérémy Barbay.
Education
March 2011 - August 2017
Publications
Publications (8)
Experimental research on wireless networking in combination with edge and cloud computing has been the subject of explosive interest in the last decade. This development has been driven by the increasing complexity of modern wireless technologies and the extensive softwarization of these through projects such as a Open Radio Access Network (O-RAN)....
Wearable cognitive assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications exist today, the relationship between infrastructure service provisioning and its implication for WC...
Wearable Cognitive Assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications exist today, the relationship between infrastructure service provisioning and its implication for WC...
Slides for talk given at HotMobile19.
Many emerging mobile applications, including augmented reality (AR) and wearable cognitive assistance (WCA), aim to provide seamless user interaction. However, the complexity of benchmarking these human-in-the-loop applications limits reproducibility and makes performance evaluation difficult. In this paper, we present EdgeDroid, a benchmarking sui...
Extended abstract of an accepted demo/poster submission at ACM/IEEE SEC'18, demonstrating the implementation and operation of a benchmarking suite for Human-in-the-Loop applications.
