Uygar O Selman

age ~52

from Oviedo, FL

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Also known as:

Uygar Oguz Selman
Elcin Selman
Uygar O Baysal
Oygar Selman
Uygar Selam
Uygar O'Selman
Danielle Conti
Danielle Bruce
Bruce Danielle

Phone and address:: 795 Long Lake Dr, Oviedo, FL 32765
4073669101

Connected to:

Uygar Selman Phones & Addresses

795 Long Lake Dr, Oviedo, FL 32765 • 4073669101
3399 Caruso Pl, Oviedo, FL 32765 • 4073669101
Casselberry, FL
Pittsburgh, PA
Seminole, FL

Work

Company:

Mitsubishi hitachi power systems americas, inc.
Sep 2019
Position:

Project manager, mhps-tomoniâ digital solutions

Education

Degree:

Master of Business Administration, Masters
School / High School:

Rollins College
2013 to 2014

Skills

Project Management • Engineering • Power Generation • Gas Turbines • Energy • Power Plants • Renewable Energy • Steam Turbines • Strategic Planning • Marketing Strategy • Change Management • Engineering Management • Strategy • Business Strategy • Epc • Leadership • Management • Virtual Teams • Innovation Management • Organizational Leadership • Business Case Development • Value Engineering • Value Stream Mapping • Target Costing • Design To Value • Financial Analysis • Research and Development • Artificial Intelligence • Machine Learning • Internet of Things • Power Plant Operations

Languages

English • Turkish

Ranks

Certificate:

Lean Practitioner

Interests

Formula 1 Racing

Industries

Oil & Energy

Name / Title

Company / Classification

Phones & Addresses

Uygar Selman
Vice President

Hawthorne Glen Townhome Owners Association, Inc
Nonclassifiable Establishments

8009 S Orange Ave, Orlando, FL 32809
6972 Lk Gloria Blvd, Orlando, FL 32809

Uygar Selman
Treasurer

Kingsbridge Community Services Association, Inc

Resumes

Project Manager, Mhps-Tomoniâ Digital Solutions

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Location:

Oviedo, FL

Industry:

Oil & Energy

Work:

Mitsubishi Hitachi Power Systems Americas, Inc.
Project Manager, Mhps-Tomoniâ Digital Solutions
Siemens May 2016 - Sep 2019
Cost and Value Engineer, Strategic Procurement
Siemens Mar 2013 - May 2016
Innovation Manager
Siemens Jul 2011 - Mar 2013
Power Diagnosticsâ Center, Operations Specialist
Siemens Sep 2006 - Jul 2011
Plant Process and Controls Engineer

Education:

Rollins College 2013 - 2014
Master of Business Administration, Masters University of Central Florida 2003 - 2007
Master of Science, Masters, Electronics Engineering Istanbul Technical University 1996 - 1996
Bachelors, Bachelor of Science, Communications, Engineering, Electronics

Skills:

Project Management
Engineering
Power Generation
Gas Turbines
Energy
Power Plants
Renewable Energy
Steam Turbines
Strategic Planning
Marketing Strategy
Change Management
Engineering Management
Strategy
Business Strategy
Epc
Leadership
Management
Virtual Teams
Innovation Management
Organizational Leadership
Business Case Development
Value Engineering
Value Stream Mapping
Target Costing
Design To Value
Financial Analysis
Research and Development
Artificial Intelligence
Machine Learning
Internet of Things
Power Plant Operations

Interests:

Formula 1 Racing

Languages:

English
Turkish

Certifications:

Lean Practitioner
Project Management Professional (Pmp)®
License 1704060
Project Management Institute, License 1704060
Siemens Energy

Us Patents

Feedforward Selective Catalytic Reduction System For Turbine Engines
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US Patent:

20120096835, Apr 26, 2012
Filed:

Oct 21, 2010
Appl. No.:

12/908965
Inventors:

Christopher A. Gates - Orlando FL, US
Uygar O. Selman - Oviedo FL, US
Teri J. Robertson - Satellite Beach FL, US
Christopher L. Moering - Oviedo FL, US
David D. Elwood - Oviedo FL, US
International Classification:

F01N 3/00
F01N 9/00
US Classification:

60274, 60285
Abstract:

A system and method of treating an exhaust flow including nitrogen oxides (NOx) in a turbine engine power generation plant is provided. The turbine engine has a selective catalytic reduction system having a catalyst. During steady state operation of the engine, a reducing agent, such as ammonia, is supplied to an injector in an amount based on a measured molar flow of NOx in the exhaust flow. During a disturbance in the operation of the turbine engine, a reducing agent is supplied to the injector in an amount based on a predicted molar flow of NOx in the exhaust flow. In addition, the system can include a biasing feature in which additional reducing agent is supplied to the exhaust flow beyond the predicted molar flow of NOx. The system and method can mitigate NOx during transient engine operation, an operational mode in which emissions are difficult to predict and control.