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Ruggero Scorcioni Phones & Addresses

  • New York, NY
  • Santa Monica, CA
  • San Diego, CA
  • Washington, DC
  • Fairfax, VA
  • Falls Church, VA
  • Miami, FL
  • Alexandria, VA
  • Arlington, VA
  • 3771 4Th Ave, San Diego, CA 92103

Work

Company: Factset 2018 Position: Vp, principal machine learning engineer

Education

School / High School: George Mason University 2000 to 2003

Skills

Machine Learning • Neuroscience • Data Analysis • Simulations • Software Design • Matlab • Algorithms • Software Development • Programming • Java • Science • Perl • Research • Statistics • Python • C++ • Data Mining • Software Engineering • Robotics • Mathematical Modeling • Linux • Bioinformatics • High Performance Computing • Image Processing • Cuda • Signal Processing • Databases • C • Simulation • R • Neural Networks • Molecular Biology • Mobile Applications • Embedded Systems • Distributed Systems • Systems Engineering • Windows Mobile Devices • Ios Development • Android Development • Invention • Digital Signal Processors • Latex • Networking • People Oriented

Languages

English

Awards

2013 at&t developer summit fast pitc...

Industries

Financial Services

Resumes

Resumes

Ruggero Scorcioni Photo 1

Vp, Principal Machine Learning Engineer

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Location:
1249 9Th St, Santa Monica, CA 90401
Industry:
Financial Services
Work:
Factset
Vp, Principal Machine Learning Engineer

Hrl Laboratories, Llc 2017 - 2018
Research Scientist

Brainyno Jan 1, 2013 - 2018
Chief Executive Officer and Founder

The Neurosciences Institute Sep 2008 - Dec 2012
Associate Fellow

George Mason University Jan 2000 - Aug 2008
Research Assistant Professor
Education:
George Mason University 2000 - 2003
University of California, San Diego 1997 - 1997
Università degli Studi di Modena e Reggio Emilia 1990 - 1995
University of Exeter 1993 - 1994
Fermi
Skills:
Machine Learning
Neuroscience
Data Analysis
Simulations
Software Design
Matlab
Algorithms
Software Development
Programming
Java
Science
Perl
Research
Statistics
Python
C++
Data Mining
Software Engineering
Robotics
Mathematical Modeling
Linux
Bioinformatics
High Performance Computing
Image Processing
Cuda
Signal Processing
Databases
C
Simulation
R
Neural Networks
Molecular Biology
Mobile Applications
Embedded Systems
Distributed Systems
Systems Engineering
Windows Mobile Devices
Ios Development
Android Development
Invention
Digital Signal Processors
Latex
Networking
People Oriented
Languages:
English
Awards:
2013 AT&T developer summit Fast Pitch Winner
AT&T
1st place winner of the 2013 AT&T developer summit Fast Pitch Winner for the development of "Good Times". This is the first real-time call filtering based on your mental state. When you're busy all your callers will get an automated message "This is not a good time to call. Please try again later." Move info at: http://www.cnn.com/2013/01/10/opinion/ces-keen-bunny-ears/index.html http://www.computerworld.com/s/article/9235388/Good_Times_app_a_winner_for_AT_T_hackathon_developer http://www.youtube.com/watch?feature=player_embedded&v=07kR_yCQ5YY

Business Records

Name / Title
Company / Classification
Phones & Addresses
Ruggero Scorcioni
President
Brainyno Inc
Prepackaged Software
3771 4 Ave, San Diego, CA 92103

Publications

Us Patents

Arborization Reconstruction

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US Patent:
8649576, Feb 11, 2014
Filed:
Jun 15, 2007
Appl. No.:
11/763758
Inventors:
Ruggero Scorcioni - Arlington VA, US
Giorgio Ascoli - Fairfax Station VA, US
Bonnie Lasher - Lorena TX, US
Assignee:
George Mason Intellectual Properties, Inc. - Fairfax VA
International Classification:
G06K 9/00
US Classification:
382128, 382131, 382132, 382282, 382284, 382285, 382293, 382294, 382295, 382296, 378 4, 378 20, 128922
Abstract:
A method and system comprising: generating at least one slice image by carpeting a multitude of digital images based upon a two-dimensional (2-D) reference system, each of the multitude of digital images associated with a location in the 2-D reference system and each showing a representation of an arborization and/or landmark such that digital images not showing a representation of an arborization and/or landmark are excluded; carpeting the multitude of digital images together to create a slice image; aligning the slice image with other similarly created slice images using landmark information to determine the amount of 2-D rotation and/or translation to be applied to each slice image; vectorizing the representation of the arborization on each slice image, the vectorization creating a series of segments; assigning a type to at least one of the series of segments based on a unique characteristic of arborization; and grouping related segments together.

Neuronal Measurement Tool

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US Patent:
8090167, Jan 3, 2012
Filed:
Oct 3, 2007
Appl. No.:
11/866593
Inventors:
Ruggero Scorcioni - Arlington VA, US
Giorgio A. Ascoli - Fairfax Station VA, US
Sridevi Polavaram - Fairfax VA, US
Assignee:
George Mason Intellectual Properties, Inc. - Fairfax VA
International Classification:
G06K 9/00
US Classification:
382128, 128922
Abstract:
A neuronal measurement tool including: an input module, a grouping module, a metric selection module, a statistical test selection module, a raw measurement module, a clustering module and a statistical test module. The input module inputs digitally reconstructed neuronal morphologies. The grouping module groups the digitally reconstructed neuronal morphologies into groups. The metric selection module selects at least one metric of interest. The statistical test selection module selects a statistical test method. The raw measurement module gathers raw measurements associated with the metric(s) of interest on the digitally reconstructed neuronal morphologies. The clustering module clusters the raw measurements into groups and the statistical test module performs the statistical test method between the raw measurements clustered in the groups.

Method Of Real Time Vehicle Recognition With Neuromorphic Computing Network For Autonomous Driving

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US Patent:
20200026287, Jan 23, 2020
Filed:
Jul 23, 2019
Appl. No.:
16/519814
Inventors:
- Malibu CA, US
Youngkwan Cho - Los Angeles CA, US
Nigel D. Stepp - Santa Monica CA, US
Steven W. Skorheim - Canoga Park CA, US
Vincent De Sapio - Westlake Village CA, US
Praveen K. Pilly - West Hills CA, US
Ruggero Scorcioni - New York NY, US
International Classification:
G05D 1/00
G05B 13/02
G05D 1/02
Abstract:
Described is a system for online vehicle recognition in an autonomous driving environment. Using a learning network comprising an unsupervised learning component and a supervised learning component, images of moving vehicles extracted from videos captured in the autonomous driving environment are learned and classified. Vehicle feature data is extracted from input moving vehicle images. The extracted vehicle feature data is clustered into different vehicle classes using the unsupervised learning component. Vehicle class labels for the different vehicle classes are generated using the supervised learning component. Based on a vehicle class label for a moving vehicle in the autonomous driving environment, the system selects an action to be performed by the autonomous vehicle, and causes the selected action to be performed by the autonomous vehicle in the autonomous driving environment.

System And Method For Thermally Conditioning A Sleep Environment And Managing Skin Temperature Of A User

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US Patent:
20160136385, May 19, 2016
Filed:
Nov 13, 2015
Appl. No.:
14/940509
Inventors:
Ruggero Scorcioni - San Diego CA, US
International Classification:
A61M 21/02
A47C 21/04
Abstract:
A system and method is provided for thermally conditioning a sleep environment and managing skin temperature of a user. The thermal system and method include a heat exchanger and controller configured to conductively cool and heat a user during sleep and at other times. The thermal system provides for management of skin temperature of a user, such that sleep comfort and/or quality may be improved, and the thermal system may take advantage of reduced sensitivity of a sleeper during deep sleep for more aggressive thermal manipulation of skin temperature via the conductive cooling. In addition, the thermal system may be further configured to condition the sleep environment when the user is not present based on pre-sleep or maintenance considerations.

Communication System Having Automated Filtering Based On Mental State Decisions

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US Patent:
20140206323, Jul 24, 2014
Filed:
Jan 20, 2014
Appl. No.:
14/159418
Inventors:
Ruggero Scorcioni - San Diego CA, US
International Classification:
H04W 4/16
US Classification:
4554141
Abstract:
A communication device having automated filtering based on mental state decisions of the present invention includes a brainwave sensing device that has sensors positioned on a user which can wirelessly communicate the mental state(s) of the user through a signal conditioner to portable electronic device. Subsequently, when the portable electronic device receives signals from a communication system, such as a call or a message, the calls or messages can be either be allowed or interrupted and stored depending on the mental state of the user. Thus, by using the mental state of the user, the portable electronic device can control the communication between the device and a telephone or message system to prevent interruptions during periods of intense focus, for example. In addition, this application provides methods for operating the communication device having automated filtering based on mental state decisions of the present invention.
Ruggero Scorcioni from New York, NY, age ~54 Get Report