People Background Check
Find People:

Michael RoytmanWheeling, IL

Get Report
Known as:
Mikhail Roytman

Michael Roytman Phones & Addresses

Wheeling, IL

Hawthorn Woods, IL

Dayton, OH

Glenview, IL

Palatine, IL

Buffalo Grove, IL

Mentions for Michael Roytman

Michael Roytman resumes & CV records

Resumes

Michael Roytman Photo 25

Data Scientist At Risk I/O

Position:
Data Scientist at Risk I/O, Founder and COO at TruckSpotting, Inc.
Location:
Greater Chicago Area
Industry:
Information Services
Work:
Risk I/O - Chicago, IL since Dec 2012
Data Scientist TruckSpotting, Inc. - Atlanta, GA since Sep 2011
Founder and COO Enova Financial - Chicago, IL Sep 2012 - Dec 2012
Fraud Analytics Associate Georgia Institute of Technology, Intel Corporation - Atlanta, GA Aug 2011 - Aug 2012
Research Assistant Crowe Horwath LLP Jun 2010 - Aug 2011
Manufacturing Consultant Department of the Interior Jun 2009 - Jun 2011
Engineering Intern, USGS Glenbrook High School District 225 May 2007 - Mar 2011
Assistant Debate Coach Just Kids Store May 2008 - Sep 2009
Web Developer
Education:
Georgia Institute of Technology 2011 - 2012
Master of Science (M.S.), Operations Research University of Illinois at Urbana-Champaign 2007 - 2010
Bachelor of Science (B.S.), Industrial Engineering Glenbrook North High School 2003 - 2007
Honor & Awards:
3rd Place, Chicago Startup Weekend Hackathon - WhereFi, 2012 President's Fellowship for Graduate Study, 2011-2012 Champion, National Coaches' Debate Association Tournament, 2007 Champion, Illinois State Debate Tournament, 2007
Languages:
English
Russian
French
Michael Roytman Photo 26

Enterprise Architect

Location:
3 Hawthorn Grv Cir, Hawthorn Woods, IL
Industry:
Information Technology And Services
Work:
Blue Cross Blue Shield Association
Enterprise Architect United Airlines Jan 2002 - Feb 2005
Senior Software Engineer Novarra 2000 - 2001
Senior Software Engineer Sun Microsystems Oct 1997 - Oct 2000
Senior Software Engineer Motorola 1995 - 1997
Software Engineer National Systems Corporation Oct 1993 - Mar 1995
Software Engineer
Education:
Lake Forest Graduate School of Management 2006 - 2009
Master of Business Administration, Masters, Management, Healthcare Illinois Institute of Technology 1997 - 1999
Master of Science, Masters, Computer Science University of Illinois at Chicago 1992 - 1993
Bachelors, Bachelor of Science, Mathematics, Computer Science Tashkent State University 1988 - 1992
Bachelors, Bachelor of Science, Applied Mathematics
Skills:
Enterprise Architecture, Sdlc, Enterprise Software, Soa, It Strategy, Agile Methodologies, Integration, Solution Architecture, Business Analysis, Software Project Management, Scrum, Requirements Analysis, Software Development, Sql, Data Modeling, Data Warehousing, Business Intelligence, Visio, Vendor Management, Db2, Agile Project Management, Web Services, Databases, Web Applications, Architecture, Unix, Database Design, Pmo, Requirements Gathering, Microsoft Sql Server, Systems Analysis, Oracle, Disaster Recovery, Xml, Java Enterprise Edition, Sharepoint, Application Architecture, Soap, It Management, Software Design, Java, Software Engineering, Tomcat, Esb, Software Documentation, Mobile Technology, Consumer Healthcare, Social Media, Ios Development, Android Development
Interests:
Groupon
Chicago Bears
Yahoo
Motorola
Electro Music
Personal Networking
Finance
Chicago Blackhawks
Techno Music
Manchester United
Mashable
Chicago Bulls
Seinfeld (Tv Series)
Applied Mathematics
Premier League
Computer Science
United Airlines
Chicago
Directv
Languages:
Russian
Michael Roytman Photo 27

Michael Roytman

Publications & IP owners

Us Patents

Distinguished Name Scoping System For Event Filtering

US Patent:
6484200, Nov 19, 2002
Filed:
Jun 11, 1999
Appl. No.:
09/330790
Inventors:
Rajeev Angal - Santa Clara CA
Shivaram Bhat - Sunnyvale CA
Michael Roytman - Glenview IL
Subodh Bapat - Palo Alto CA
Assignee:
Sun Microsystems, Inc. - Santa Clara CA
International Classification:
H04L 1226
US Classification:
709224, 709218, 370352
Abstract:
Method and system for allowing a computer network operations manager to subscribe for and receive notifications concerning network events from one or more objects or object levels, as defined by distinguished name scoping, and optionally having at least one event characteristic from a selected list. The selected list of characteristics may include: one or more levels of network objects involved in the event; one or more specified network nodes involved in the event; a specified geographical region in which said event occurs; a specified period of days within which the event occurs or is initiated; a specified time interval within which the event occurs or is initiated; a specified class of devices involved in the event; and an event of one or more specified event types.

Alarm Manager System For Distributed Network Management System

US Patent:
2002001, Jan 31, 2002
Filed:
Dec 4, 1998
Appl. No.:
09/205911
Inventors:
MICHAEL ROYTMAN - GLENVIEW IL, US
PLAMEN PETROV - BARRINGTON IL, US
International Classification:
G09G005/00
US Classification:
345/736000, 345/784000, 709/224000
Abstract:
The alarm manager display in a distributed network management system is arranged to have two modes of operation. In one mode of operation, the alarm manager display automatically scrolls when new events arrive. If there are sorting criteria defined, the alarm manager window scrolls either up or down depending on the sort order so that when new events arrive, they always appear on the screen. In the second mode of operation, the alarm manager window does not scroll when new events arrive. The scroll bar operational modes are selectable by an operator from a menu. In accordance with another embodiment, a special attribute is added to the alarm manager configuration file. This attribute is read when the alarm manager is started and places the alarm manager into the operational mode in which it was last used.

Exploit Prediction Based On Machine Learning

US Patent:
2022020, Jun 30, 2022
Filed:
Mar 14, 2022
Appl. No.:
17/693502
Inventors:
- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US
International Classification:
G06F 21/57
G06N 20/00
Abstract:
Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

Exploit Prediction Based On Machine Learning

US Patent:
2020040, Dec 24, 2020
Filed:
Aug 31, 2020
Appl. No.:
17/008515
Inventors:
- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US
International Classification:
G06F 21/57
G06N 20/00
Abstract:
Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

Vulnerability Assessment Based On Machine Inference

US Patent:
2020011, Apr 9, 2020
Filed:
Dec 9, 2019
Appl. No.:
16/708292
Inventors:
- Chicago IL, US
Michael Roytman - Chicago IL, US
David Bortz - Highland Park IL, US
Jared Davis - Chicago IL, US
International Classification:
G06F 21/57
G06N 20/00
G06F 16/9032
G06F 16/903
Abstract:
Techniques related to vulnerability assessment based on machine inference are disclosed. A vulnerability assessment server may receive, from a client device, a set of metadata corresponding to a program stored on the client device. Further, the vulnerability assessment server may extract a program name from the set of metadata. Still further, the vulnerability assessment server may determine one or more vulnerabilities of the program based on searching for the program name in one or more storage systems that maintain sets of vulnerability data.

Exploit Prediction Based On Machine Learning

US Patent:
2019016, May 30, 2019
Filed:
Oct 12, 2018
Appl. No.:
16/158873
Inventors:
- Chicago IL, US
Michael Roytman - Chicago IL, US
Jeffrey Heuer - New York NY, US
International Classification:
G06F 21/57
G06F 15/18
Abstract:
Generation of one or more models is caused based on selecting training data comprising a plurality of features including a prevalence feature for each vulnerability of a first plurality of vulnerabilities. The one or more models enable predicting whether an exploit will be developed for a vulnerability and/or whether the exploit will be used in an attack. The one or more models are applied to input data comprising the prevalence feature for each vulnerability of a second plurality of vulnerabilities. Based on the application of the one or more models to the input data, output data is received. The output data indicates a prediction of whether an exploit will be developed for each vulnerability of the second plurality. Additionally or alternatively, the output data indicates, for each vulnerability of the second plurality, a prediction of whether an exploit that has yet to be developed will be used in an attack.

Facilitating Field Data Collection Using Hierarchical Surveys

US Patent:
2017012, May 4, 2017
Filed:
Dec 17, 2015
Appl. No.:
14/973279
Inventors:
- Chicago IL, US
Michael ROYTMAN - Chicago IL, US
Jennifer Paige GRIFFIN - Chicago IL, US
International Classification:
G06F 3/0484
H04L 29/08
G06F 17/30
G06F 9/44
G06F 17/24
Abstract:
The technology presented here enables low skilled administrators to design a hierarchical survey, low skilled field agents to collect answers to the hierarchical survey, and low skilled field managers to manage and monitor the progress of the field agents. The hierarchical surveys designed can be complex hierarchical surveys comprising multi-stage sampling units. The graphical user interfaces presented to the users are easy to use, and hide the complexity of the hierarchical survey. The user devices can communicate with each other to transmit the hierarchical surveys and the answers received to the hierarchical surveys using peer-to-peer networks, in environments where there is low, or no Internet connectivity.

Possible Relatives

Mark F Roytman  Michael A Last  Michael D Stanaland  Michael Stanberry  Michael A Stanbro  Michael W Stancil  Michael P Stanczak  Michael A Standley  Michael L Stanek  Michael J Stanfield 

NOTICE: You may not use PeopleBackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. PeopleBackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.