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George Lapiotis

from Edgewater, NJ
Age ~53
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Also known as:
Goerge Lapiotis
Phone and address:
475 Undercliff Ave, Edgewater, NJ 07020
Related to:
Antigone M Antonakakis, 23Antigone A AntonakakisJohn Andrews, 31
Connected to:
Romeo S Lapira, 66Amy E Lapisardi, 53Jeffrey S Lapish, 58Roel L Lapitan, 52Alfred G Lapitino, 41Laura M Lapitka, 42Jennifer K Lapitsky, 57Karen M Lapka, 68Sonja A Lapka, 69Robert N Lapkass, 61

George Lapiotis Phones & Addresses

  • 475 Undercliff Ave, Edgewater, NJ 07020
  • Astoria, NY
  • 114 Franklin St, Morristown, NJ 07960 (973) 455-0275
  • 114 Franklin St #7K2, Morristown, NJ 07960 (973) 455-0275
  • 100 Clark St, Brooklyn, NY 11201 (718) 522-7289
  • 475 Undercliff Ave, Edgewater, NJ 07020 (973) 455-0275

Work

Position: Service Occupations

Education

Degree: Bachelor's degree or higher

Resumes

Resumes

George Lapiotis Photo 1

George Lapiotis

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Location:
Edgewater, NJ
Industry:
Telecommunications
Work:
Ericsson
Senior Research Scientist
George Lapiotis Photo 2

Solutions Architect, Products And Solutions

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Location:
New York, NY
Industry:
Telecommunications
Work:
Radcom
Solutions Architect, Products and Solutions
Nyu Tandon School of Engineering
Adjunct Professor
Ericsson 2014 - Nov 2017
Strategic Product Manager, Digital Business Systems, Analytics Portfolio
Telcordia Technologies 1998 - 2014
Senior Research Scientist, Applied Research Division
Education:
New York University - Polytechnic School of Engineering 1994 - 1998
Doctorates, Doctor of Philosophy, Electrical Engineering New York University - Polytechnic School of Engineering 1993 - 1994
Master of Science, Masters, Electrical Engineering, Telecommunications National Technical University of Athens 1988 - 1993
Skills:
Telecommunications
Mobile Devices
Ip
Lte
Wireless
Network Design
Gsm
Mpls
Software Engineering
Algorithms
Wimax
Rf
Cloud Computing
Program Management
Wireless Technologies
Data Analytics and Business Intelligence
Product Management
Project Management
Operations Support Systems
Internet Protocol

Publications

Us Patents

Automatic Policy Change Management Scheme For Diffserv-Enabled Mpls Networks

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US Patent:
20080247314, Oct 9, 2008
Filed:
Apr 9, 2007
Appl. No.:
11/784649
Inventors:
Gi Tae Kim - Morristown NJ, US
George Lapiotis - Morristown NJ, US
Narayanan Natarajan - Marlboro NJ, US
International Classification:
H04L 12/24
US Classification:
370235
Abstract:
A policy change management scheme for network resource management through dynamic policy adaptations especially suitable for DiffServ-enabled MPLS networks is presented. The scheme incorporates automated resource adaptation capabilities to assure QoS for user traffic and to promote resource utilization in DiffServ-enabled MPLS networks. A suite of resource management policies, an ordered set of methods for adjusting policies, and interfaces to a companion policy-based network management system are provided. The policies are periodically adjusted based on predictive bandwidth estimation algorithms ensuring optimal resource allocation to individual service classes and enabling adjustment of resources for handling current traffic and traffic expected for the near future. Resource allocations to individual service classes are adapted through policy changes when bandwidth utilization deviates from normal level or congestion exists in one or more service classes, allowing corrections to abnormal allocation of resources in incipient phases of congestion.

Fault Diagnosis Employing Probabilistic Models And Statistical Learning

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US Patent:
20110185229, Jul 28, 2011
Filed:
Jan 27, 2010
Appl. No.:
12/694651
Inventors:
George Lapiotis - Astoria NY, US
David Shallcross - Piscataway NJ, US
Assignee:
TELCORDIA TECHNOLOGIES, INC. - Piscataway NJ
International Classification:
G06F 11/07
US Classification:
714 25, 714E11022
Abstract:
A computer implemented fault diagnosis method employing both probabilistic models and statistical learning that diagnoses faults using probabilities and time windows learned during the actual operation of a system being monitored. In a preferred embodiment, the method maintains for each possible root cause fault an a-priori probability that the fault will appear in a time window of specified length as well as maintaining—for each possible resulting symptom(s)—probabilities that the symptom(s) will appear in a time window containing the fault and probabilities that the alarm will not appear in a time window containing the fault. Consequently, the method according to the present invention may advantageously determine—at any time—the probability that a fault has occurred, and report faults which are sufficiently likely to have occurred. These probabilities are updated based upon past time windows in which we have determined fault(s) and their cause(s). Advantageously, each root cause fault may be assigned its own time window length. By maintaining these probability parameters for several different window lengths, a window length that is particularly well-suited to a particular set of conditions may be chosen.

System, Method, Control Device And Program For Vehicle Collision Avoidance Using Cellular Communication

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US Patent:
20130194108, Aug 1, 2013
Filed:
Jan 30, 2012
Appl. No.:
13/361080
Inventors:
George Lapiotis - Astoria NY, US
Jyh-Cheng Chen - Hsinchu, TW
Hanan Luss - Monroe NJ, US
Tao Zhang - Fort Lee NJ, US
Assignee:
Telcordia Technologies, Inc. - Piscataway NJ
International Classification:
G08G 1/0967
US Classification:
340905
Abstract:
Avoiding vehicle collisions using an in-vehicle device is provided. The method comprises receiving a connection request from an in-vehicle device within a moving vehicle when the moving vehicle is within a selected distance from a traffic intersection, establishing connection with the in-vehicle device within a moving vehicle via a serving base station, receiving position information from the in-vehicle device within a moving vehicle corresponding to a position of the moving vehicle, receiving control information for a traffic light at the traffic intersection from a traffic management center and relaying the control information for the traffic light to the in-vehicle device within a moving vehicle. A warning is issued based upon a vehicle speed, a location and a position relative to a traffic intersection. A warning is also issued based upon multiple vehicles speed, relative locations to each other and each position relative to a traffic intersection.
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George Lapiotis from Edgewater, NJ, age ~53 Get Report