Ming Chen
309 Redmond Dr. Apt.106 573-239-1121
College Station, TX 77840 mcnm8[at]neo.tamu.edu

OBJECTIVE
Seeking a position requiring detailed chemical engineering design and analytical optimization skills, available from May 2010.
EDUCATION
Texas A&M University, College Station, Texas August 2010
M.E. in Industrial & Systems Engineering; GPA: 3.63
University of Missouri, Columbia, Missouri December 2008
M.S. in Biological Science; GPA: 3.52
China Pharmaceutical University, Nanjing, China July 2004
B.E. Bioengineering/minor in Chemical Engineering; GPA: 3.7
SUMMARY OF QUALIFICATIONS
Chemical process design, integration, and optimization
Process safety and risk analysis, system reliability improvement
Six Sigma, Lean Manufacturing, Analytical engineering problem solving
RELEVANT PROJECTS
Process Integration and Systems Optimization Group
Dept. of Chem. Eng., Texas A&M University January 2010Present
Conceptual design of bio refinery process to convert sorghum for ethanol production: completing process design, integration and optimization; economic analysis, report and presentation.
Optimizing chemical process for productivity enhancing and energy conservation, using systemic methodologies and sustainable strategies to identify optimum.
Celanese Plant Design Competition (First Place Member) AugustDecember 2009
Vinyl Acetate Plant Expansion: produced detailed conceptual design for a 300kTa vinyl acetate unit using vapor phase ethylene technology.
Developed PFD, P&IDs, performed heat and material balance analysis, sizing equipments including reactors, vessels, towers, heater exchangers, and pumps.
Developed process simulation models, conducted advanced controls & process optimization using Aspen plus, performed safety and economic analysis, report and presentation.
Systemic Hazard Analysis of Phenol-Formaldehyde Reaction System Fall 2009
Performed thorough process study to identify hazards, PHA, cause root analysis, HAZOP analysis
Performed a case study, worst case relief scenario identification.
Performed relief system sizing, provided advice for reducing risks and what if analysis.
Linear Optimization to Maximize the Net Profit of Moxley Furniture Corporation Summer 2009
Mathematically modeled the operation research problem using linear programming
Solved it using AMPL/CPLEX; generated the optimal raw material acquiring plan, production plan, and product marketing plan; Performed sensitivity analysis
Modeling the Manufacturing System of Steel Plant Spring 2009
Used Petri Nets to model the process for manufacturing electrical motors stators and rotors.
Simulated and analyzed the manufacturing process using Matlabs Petri nets Toolbox.
Modeled, simulated, and analyzed the unconstrained pull production strategy and Kanban system
Applied PLC (programmable logic controller) for the manufacturing system.
RELEVANT CORE COURSES
Chemical Plant Design, Probability for Engineering Decisions, Systems Safety Engineering, Quantitative Risk Analysis, Control Issues in Flexible Manufacturing Systems
WORK EXPERIENCE
Dept. of Soil & Crop Sciences, Texas A&M University JanuaryAugust 2009
Student Worker
Field work: Tractor operation and maintenance, pipeline layout and field irrigation, corn breeding experiments design and associated labor work.
University of Missouri, Columbia, MO August 2006December 2008
Graduate Research Assistant
Masters thesis: Biochemical lab research, developed a sophisticated tool for studying gene functions
CPU Pharm. Co., LTD. Nanjing, China JuneAugust 2003
Intern, Chemical Process & Fermentation Group
Assisted the set-up and operation of batch reactors, performed regular checking and maintenance.
Operated the extraction equipment in the reactor Systems
Kept hoses, pumps and vessels clean in between process batches, recorded parameters and reported to supervisor on a daily basis.
COMPUTER SKILLS
Chemical Process Simulation: Aspen Plus, BR&E ProMax, Aspen Icarus
Software Packages: Arena, Lingo, [at]Risk, Microsoft Office, Visio
Programming Languages: MatLab, VBA, basic knowledge of Java and C
Database Application: SQL, Access
Statistical Analysis: SAS, SPSS, R