Search

Spiros Mancoridis

from Philadelphia, PA
Age ~56
Get Report
Also known as:
Spirs Mancoridis, Spiros S
Phone and address:
776 S 2Nd St, Philadelphia, PA 19147
(215) 413-3726
Related to:
Sotiri Mancoridis, 90Vista Dimitra, 46Sotiri SDimitra Vista, 58
Connected to:
Justin M Manculich, 43Tony J Mancus, 46Christopher E Mancusi, 40Joseph M Mancusi, 69Adriana M Mancuso, 41Barbara Mancuso, 59Bart L Mancuso, 72Benedetto Mancuso, 67Caterina Mancuso, 56Christy J Mancuso, 39

Spiros Mancoridis Phones & Addresses

  • 776 S 2Nd St, Philadelphia, PA 19147 (215) 413-3726
  • 111 N Jefferson Ave, Margate City, NJ 08402 (609) 317-4331

Work

Company: Drexel university Sep 2013 to Sep 2015 Position: Senior associate dean of computing

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of Toronto 1990 to 1996 Specialities: Computer Science, Philosophy

Skills

Computer Science • Software Engineering • Algorithms • Machine Learning • Java • Programming • Distributed Systems • Software Design • Higher Education • Artificial Intelligence • C • Unix • Object Oriented Design • Linux • Latex • Bash • Oop • Testing • Data Structures • Design Patterns • Git

Languages

Greek • English

Industries

Research

Resumes

Resumes

Spiros Mancoridis Photo 1

Professor Of Computer Science And Interim Department Head

View page
Location:
776 south 2Nd St, Philadelphia, PA 19147
Industry:
Research
Work:
Drexel University Sep 2013 - Sep 2015
Senior Associate Dean of Computing
Drexel University Sep 2013 - Sep 2015
Interim Dean
Drexel University Sep 2013 - Sep 2015
Professor of Computer Science and Interim Department Head
Education:
University of Toronto 1990 - 1996
Doctorates, Doctor of Philosophy, Computer Science, Philosophy Acadia University 1986 - 1990
Bachelor of Applied Science, Bachelors, Computer Science
Skills:
Computer Science
Software Engineering
Algorithms
Machine Learning
Java
Programming
Distributed Systems
Software Design
Higher Education
Artificial Intelligence
C
Unix
Object Oriented Design
Linux
Latex
Bash
Oop
Testing
Data Structures
Design Patterns
Git
Languages:
Greek
English

Publications

Us Patents

Detection, Diagnosis, And Mitigation Of Software Faults

View page
US Patent:
20130198565, Aug 1, 2013
Filed:
Jan 28, 2011
Appl. No.:
13/575196
Inventors:
Spiros Mancoridis - Philadelphia PA, US
Chris Rorres - Wynnewood PA, US
Maxim Shevertalov - Paoli PA, US
Kevin M. Lynch - Mount Laurel NJ, US
Edward Stehle - Philadelphia PA, US
Assignee:
Drexel University - Philadelphia PA
International Classification:
G06F 11/07
G06N 5/02
US Classification:
714 26
Abstract:
A computational geometry technique is utilized to detect, diagnose, and/or mitigate fault detection during the execution of a software application. Runtime measurements are collected and processed to generate a geometric enclosure that represents the normal, non-failing, operating space of the application being monitored. When collected runtime measurements are classified as being inside or on the perimeter of the geometric enclosure, the application is considered to be in a normal, non-failing, state. When collected runtime measurements are classified as being outside of the geometric enclosure, the application is considered to be in an anomalous, failing, state. In an example embodiment, the geometric enclosure is a convex hull generated in N-dimensional Euclidean space. Appropriate action (e.g., restart the software, turn off access to a network port) can be taken depending on where the measurement values lie in the space.

Light-Weight Behavioral Malware Detection For Windows Platforms

View page
US Patent:
20190065746, Feb 28, 2019
Filed:
Aug 27, 2018
Appl. No.:
16/112825
Inventors:
- Philadelphia PA, US
Spiros Mancoridis - Philadelphia PA, US
Avinash Srinivasan - Lansdale PA, US
Assignee:
Drexel University - Philadelphia PA
Temple University - Philadelphia PA
International Classification:
G06F 21/56
G06F 17/30
Abstract:
A behavioral malware detection involves extracting features from prefetch files, wherein prefetch files; classifying and detecting benign applications from malicious applications using the features of the prefetch files; and quarantining malicious applications based on the detection.

Multi-Channel Change-Point Malware Detection

View page
US Patent:
20150295945, Oct 15, 2015
Filed:
Apr 14, 2015
Appl. No.:
14/686420
Inventors:
- Philadelphia PA, US
Spiros Mancoridis - Philadelphia PA, US
Moshe Kam - Philadelphia PA, US
International Classification:
H04L 29/06
Abstract:
A malware detection system and method detects changes in host behavior indicative of malware execution. The system uses linear discriminant analysis (LDA) for feature extraction, multi-channel change-point detection algorithms to infer malware execution, and a data fusion center (DFC) to combine local decisions into a host-wide diagnosis. The malware detection system includes sensors that monitor the status of a host computer being monitored for malware, a feature extractor that extracts data from the sensors corresponding to predetermined features, local detectors that perform malware detection on each stream of feature data from the feature extractor independently, and a data fusion center that uses the decisions from the local detectors to infer whether the host computer is infected by malware.
Control profile
Spiros Mancoridis from Philadelphia, PA, age ~56 Get Report