|
Education History |
|
2003 - Present |
Ph.D. Chemical
Engineering, Carnegie Mellon University, Pittsburgh
PA |
|
1997 - 2003 |
B.S. Chemical Engineering, Texas
A&M University, College Station,
TX | |
| Work History |
|
Aug
2003-Present |
Teaching Assistant,
Carnegie Mellon University, Pittsburgh, PA |
|
May-Aug 2003 |
Summer Research Engineer, Shell
Chemical Compay Houston, TX |
|
Jan-May 2003 |
Student Researcher, Chemical
Engineering Department, Texas A&M University, College
Station, TX |
|
May-Aug 2000 |
Co-op Engineer, Thin Films
Department, Advanced Micro Devices (AMD), Austin,
TX |
|
Aug-Dec 2000 |
Co-op Engineer, Thin Films
Department, Advanced Micro Devices (AMD), Austin,
TX |
|
Jan-May 2000 |
Co-op Engineer, Process
Characterization and Analysis Lab, Advanced Micro Devices
(AMD), Austin, TX |
|
Sep-Dec 1998 |
Student Researcher, Chemistry
Department, Texas A&M University, College Station,
TX |
|
May-Aug 1998 |
Student Researcher (REU),
Engineering Research Center, University of Arizona, Tucson,
AZ | |
| Awards and Honors |
|
2003-Present |
GEM
Fellowship |
|
2003-Present |
Graduate Fellowship, Carnegie
Mellon University |
|
2003 |
Outstanding Graduating Student,
Chemical Engineering, Texas A&M University (Highest
Honor) |
|
2003 |
Honorable Mention - Texas A&M
University Student Research Week |
|
2002-2003 |
Mason J. Pilcher '28 Dwight Look
College of Engineering Scholar |
|
2002-2003 |
Celanese Scholar |
|
2002 |
Department of Chemical Engineering
Plant Design Competition, 1st Place. Texas A&M
University |
|
2001 |
1st Place - Engineering - Texas
A&M University Student Research Week |
|
1997-2001 |
Texas A&M University's
President's Achievement Scholarship |
|
1997-2001 |
D.D. Hachar - Texas A&M
University Scholar | |
| Research Interests |
|
Overview
My research interests focus on control and
optimization of process systems by peak-seeking algorithms and
control and optimization of supply chain management.
A more detailed description of my current and future
work is given below.
Real-Time Optimization by Peak Seeking
Control
The proposed online optimization technique is
applied to systems which are known to have an optimal operating
point. The novel adaptive optimization algorithm is based on models
which are used to track changing optimal points. The optimization
algorithm behaves as a stand-alone module using existing simulations
to gather information and adaptively controls the process without
manipulating the simulation code. The optimizer uses a second order
approximation to a high order system and takes a set of modified
equality constraints constructed so that they have the same
geometric characteristics of the true steady-state behavior of the
process. The module employs the dynamic model to obtain a
steady-state model. The steady-state model is then used to find the
optimal input to the process. The optimum point obtained by the
optimizer is tracked throughout process operation. Advantages of
this adaptive algorithm over other traditional optimization
approaches include: 1) it uses current process models, 2) it can
handle multiple objective functions, 3) it only applies a subset of
all process states, 4) it is self-learning, and, 5) it is
appropriate for steady-state or dynamic models. This work
presents the technique applied to single-input single-output
processes with multiple-input multiple-output systems being the
logical step forward. Results are provided for two case studies: 1)
optimization of the production of candida utilis in a bioreactor,
and, 2) optimization of the production of silicon in a
reactor.
Presentations
Dozal-Mejorada, E.J.; Garcia-Osorio, V.; and
Ydstie, B.E. "Real Time Optimization of Convex Operators
by Extremum Seeking Control," AIChE National Meeting, Austin,
TX. November 7-12, 2004.
Gabriel, F.; Xiaoyun, Q.; Harell, D.; El-Halwagi,
M. and Dozal-Mejorada, E.J. "Resource Conservation Targeting
Techniques Using Componentless Design Approach," AIChE Spring
National Meeting, New Orleans, LA. March 31, 2003.
Dozal-Mejorada, E.J. "Pollution Prevention Through
Process Integration," Texas A&M University Student Research
Week, College Station, TX. March 2003.
Dozal-Mejorada, E.J. "Characterization of Rapid
Thermally Annealed Nickel Silicide Formation by Micro-Raman
Spectroscopy and X-ray Photoelectron Spectroscopy," Texas A&M
University Student Research Week, College Station, TX. March
2001.
Dozal-Mejorada, E.J.; Neil, T.; Zhao, J.; Ballast,
L.K.; Jones, C.; and Hossain, T.Z. "The Uniformity and Chemical
Composition of CoSi Thin Films Characterized by Scanning Micro-Raman
Spectroscopy and Scanning Secondary Ion Imaging," Scanning 2000,
San Antonio, TX. May 12, 2000.
|
| | |