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Georgios Angelopoulos

from Boston, MA
Age ~64
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Connected to:
Adrienne Angelos, 36Alan Angelopulos, 54Anna M Angelopulos, 80Cherienne M Angelos, 47Chris J Angelos, 87Demetri Angelopoulos, 55Jason N Angelopulos, 50Jennifer C Angelopoulos, 56Marcella Angelosanto, 57Michael P Angelos, 73

Georgios Angelopoulos Phones & Addresses

  • Boston, MA

Work

Company: Massachusetts institute of technology Sep 2009 Address: Boston, MA Position: Research assistant (ph.d. candidate)

Education

Degree: Doctor of Philosophy (Ph.D.) School / High School: Massachusetts Institute of Technology 2011 to 2015 Specialities: Electrical Engineering and Computer Science

Skills

Matlab • Algorithms • Verilog • Sensors • Latex • Fpga • Vlsi • Wireless Communications Systems • Simulink • Signal Processing • C • Research • Ic • Digital Ic Design • Programming

Languages

English • Greek • French

Industries

Semiconductors

Resumes

Resumes

Georgios Angelopoulos Photo 1

Senior Hardware Engineer

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Location:
Boston, MA
Industry:
Semiconductors
Work:
Massachusetts Institute of Technology - Boston, MA since Sep 2009
Research Assistant (Ph.D. Candidate)
Texas Instruments - Dallas, TX Jun 2012 - Aug 2012
Research Intern
Texas Instruments - Dallas, TX Jun 2011 - Jul 2011
Research Intern
Analogies S.A. - Patras, Greece Apr 2008 - Nov 2008
Undergraduate Researcher
Education:
Massachusetts Institute of Technology 2011 - 2015
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science Massachusetts Institute of Technology 2009 - 2011
Master of Science (M.S.), Electrical Engineering and Computer Science University of Patras 2004 - 2009
Diploma, Electrical and Computer Engineering
Skills:
Matlab
Algorithms
Verilog
Sensors
Latex
Fpga
Vlsi
Wireless Communications Systems
Simulink
Signal Processing
C
Research
Ic
Digital Ic Design
Programming
Languages:
English
Greek
French

Publications

Us Patents

Partial Packet Recovery In Wireless Networks

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US Patent:
20130326308, Dec 5, 2013
Filed:
May 30, 2012
Appl. No.:
13/483659
Inventors:
GEORGIOS ANGELOPOULOS - Cambridge MA, US
MURIEL MEDARD - Belmont MA, US
ANANTHA P. CHANDRAKASAN - Belmont MA, US
Assignee:
MASSACHUSETTS INSTITUTE OF TECHNOLOGY - Cambridge MA
International Classification:
H03M 13/05
G06F 11/10
US Classification:
714758, 714776, 714E11032
Abstract:
Systems and methods for improved packet throughput using partial packets are provided in which data recovery of partial packets of a plurality of received coded packets is performed across the plurality of received coded packets. The plurality of received coded packets, including the received partial packets, can be buffered in a memory and used in recovering the data for the partial packets. As soon as the total number of received packets (including valid and partial) becomes greater than the generation size, a decoding process can be attempted utilizing the partial packets as part of the redundancy used for data recovery. During the decoding process, the received packets are evaluated across packets instead of on a per-packet basis.

Methods, Apparatus And Systems For Transmission And Reception Of Sparse Signals In Wireless Sensor Networks

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US Patent:
20170222753, Aug 3, 2017
Filed:
Feb 2, 2017
Appl. No.:
15/423445
Inventors:
Georgios Angelopoulos - Cambridge MA, US
Muriel Medard - Belmont MA, US
Anantha Chandrakasan - Belmont MA, US
International Classification:
H04L 1/00
H04L 27/34
H04L 27/00
H04L 29/08
Abstract:
Efficient and reliable transmission of information from sparse sources over wireless channels in wireless signal networks (WSNs). WSN nodes employ an “integrated signal representation-to-modulation” scheme to describe a sparse signal acquired from a sensor so as to ensure robustness against channel errors across a wide range of signal to noise (SNR) values in a rateless fashion. In one example, sparse signal samples are linearly transformed such that the total number of bits representing the sparse signal is reduced. The linearly-transformed signal samples are directly mapped to a modulation constellation to provide a succession of modulation symbols. A carrier wave is modulated in phase and/or frequency according to the succession of the modulation symbols to generate an encoded carrier wave representing the sparse analog signal. In one aspect, an order of the modulation constellation is based on the precision (e.g., number of bits) of each of the linearly-transformed signal samples.
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Georgios Angelopoulos from Boston, MA, age ~64 Get Report