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Rung C. Lin

Office Address: Home Address: Email: aca9s0@r.postjobfree.com

E3437 Thomas and Nell Lafferre Hall 5101 Mexico Gravel Rd Phone: 573-***-****

University of Missouri Columbia, MO 65202

Columbia, MO 65211

EDUCATION

University of Missouri, Columbia, MO, USA (Jan. 2008 Jul. 2013)

Ph.D. in Industrial & Manufacturing Systems Engineering

Dissertation: “Multi objective Optimization Models for Surgical Services Planning”

Adviser: Mustafa Sir

National Cheng Kung University, Tainan, Taiwan (Sep. 2003 Jul. 2005)

M.S. in Manufacturing Engineering

Thesis: “Generic Virtual Metrology Scheme and System”

National Taipei University of Technology, Taipei, Taiwan (Sep. 2001 Jun. 2003)

B.S. in Industrial Engineering and Management

National Huwei Institute of Technology, Huwei, Taiwan (Sep. 1999 Jun. 2001)

(In February 2004, the school was renamed “National Formosa University”)

A.S. in Vehicle Engineering

Municipal Kaohsiung Senior Vocational Industrial High School, Kaohsiung, Taiwan

Diploma in Auto Mechanics (Sep. 1996 Jun. 1999)

DISTINCTIONS

Outstanding Student Award, The College of Engineering, University of Missouri Columbia, MO,

USA (Mar. 2013)

The Curator’s Grant In Aid (GIA) Scholarship for international students, University of Missouri

Columbia, MO, USA (Jan. 2013)

Recognition of Most Outstanding Academic Research Thesis Award of Acer Dragon Thesis

Contest, Acer Computer Company, Taiwan. (2005)

The Top Position of Admission Exam to Enroll Institute of Manufacturing Engineering, National

Cheng Kung University, Tainan, Taiwan. (2003)

Scholarship Conferred by Kaohsiung City Government, Taiwan. (2001 2003)

COMPUTER SKILLS

Programming Languages (Advanced): C++, MATLAB

Programming Languages (Intermediate): VBA, Python, SQL, PHP

Optimization Solver: Gurobi, Cplex, Cbc

Curriculum Vitae of Rung C. Lin Page 2/4

Word Processing and Presentation: LaTex, Microsoft Office

RESEARCH INTERESTS

Mathematical optimization Artificial intelligence

Discrete event simulation Forecasting

Heuristic algorithm Scheduling

JOURNAL ARTICLES

1. Lin, R. C., Sir, M. Y., Sisikoglu, E., Pasupathy, K. S., and Steege, L. M. (2013) Optimal Nurse

Scheduling Based on Quantitative Models of Work Related Fatigue. IIE Transactions on

Healthcare Systems Engineering, Vol. 3, No. 1, pp. 23 38.

2. Lin, R. C., Sir, M. Y., and Pasupathy, K. S. (2013) Multi objective Simulation Optimization using

Data Envelopment Analysis and Genetic Algorithm: Specific Application to Determining Optimal

Resource Levels in Surgical Services. Omega, Vol. 41, No. 5, pp. 881 892.

3. Hung, M. H., Lin, T. H., Cheng, F. T., and Lin, R. C. (2007) A Novel Virtual Metrology Scheme for

Predicting CVD Thickness in Semiconductor Manufacturing. IEEE/ASME Transactions on

Mechatronics, Vol. 12, No. 3, pp. 308 316.

BOOK CHAPTERS

1. Lin, R. C., Pasupathy, K. S., and Sir, M. Y. (2011) Estimating Admissions and Discharges for

Planning Purposes Case of an Academic Health System, in K. D. Lawrence, R. K. Klimberg (ed.).

Advances in Business and Management Forecasting, Vol. 8, Emerald Group Publishing Limited,

pp. 115 128.

CONFERENCE PROCEEDINGS & POSTERS

1. Wutthisirisart, P., Lin, R. C., Stumpf, J., Robke, J., Sir, M. Y., and Noble, J. New Product

Distribution Network Design and Operation. Poster Session, Center for Excellence in Logistics

and Distribution, Dallas, TX, Nov. 2012.

2. Lin, R.C., Sir, M. Y., and Pasupathy, K. S. Streamlining Patient Flow in Surgical Services. Poster

Session, Healthcare Systems Engineering Research and Education Leadership Workshop,

Fayetteville, AR, May 2010.

3. Lin, T. H., Hung, M. H., Lin, R. C., and Cheng, F. T. A Virtual Metrology Scheme for Predicting

CVD Thickness in Semiconductor Manufacturing. Robotics and Automation, 2006. ICRA 2006.

Proceedings 2006 IEEE International Conference on, pp.1054 1059, May 2006.

4. Su, Y. C., Cheng, F. T., Hung, M. H., Lin, Y. C., and Lin, R. C. Design and Implementation of an

Intelligent Prognostics System. Automation Science and Engineering, 2005. IEEE International

Conference on, pp. 273 278, 1 2 Aug. 2005.

PATENTS

1. Cheng, F. T., Su, Y. C., Lin, R. C. Quality Prognostics System and Method for Manufacturing

Processes with Generic Embedded Devices. R.O.C Patent No. I269990, (Application Publication

Curriculum Vitae of Rung C. Lin Page 3/4

on 02/04/2005).

PROFESSIONAL EXPERIENCE

Research Assistant, University of Missouri, Columbia, MO, USA (Jan. 2009 – Jun. 2013)

Operating Rooms Scheduling Predictive Model and Optimization

Development of methodology for prediction of surgical durations (Phase I).

Development of methodology for surgical case scheduling to determine an appropriate

location of each case in block time (Phase II).

On Demand Logistics Network Design

Estimation of market demand for Bayer CropScience’s On Demand products.

Computational tool development for optimizing the distribution network for On Demand

products.

Nurse Scheduling Based on Quantitative Models of Work Related Fatigue

Application of mixed integer programming to develop a nurse scheduling model that

combines nurse fatigue into the objective function.

Integration of two quantitative models for work related fatigue, 1) survey based fatigue

scores and 2) circadian function based fatigue scores.

The determination of shift patterns for satisfying nurse preference and minimizing their

fatigues in a given time horizon.

Intensity Modulated Radiation Therapy (IMRT) Optimization

An implementation of a classical (deterministic) IMRT optimization model.

The determination of the intensity of each beamlet to satisfy the requirements on the dose

delivered to each voxel.

Determining Optimal Resource Levels in Surgical Services

Development of a simulation optimization framework for multi objective problems that

have a large design space.

Integration of simulation, genetic algorithm, and data envelopment analysis in the

framework.

The determination of optimal resource levels in a surgical service system to minimize

patients’ waiting time and system completion time.

Teaching Assistant, University of Missouri, Columbia, MO, USA (Jan. 2008 Jan. 2009)

Course: “Management Information Systems Design,” Department of Industrial & Manufacturing

Systems Engineering.

Course: “Fundamentals of Systems Design and Analysis,” Department of Industrial &

Manufacturing Systems Engineering.

Fire Service, National Fire Agency, Ministry of Interior, Taiwan (Nov. 2005 Apr. 2007)

Implementation of graphical user interface for fire prevention and disaster rescue systems.

Database maintenance for personnel management information system.

Project Assistant, National Cheng Kung University, Tainan, Taiwan (Aug. 2005 Nov. 2005)

Consulted service for academia industry collaboration of a semiconductor company and a

TFT LCD company.

Curriculum Vitae of Rung C. Lin Page 4/4

Research Assistant, National Cheng Kung University, Tainan, Taiwan (Jul. 2003 Jul. 2005)

Design and Implementation of an Intelligent Predictive Maintenance System(1/2)

National Science Council Grant, Grant No.: NSC 93 2622 E 006 005.

Analyzed system requirement to propose an Intelligent Predictive Maintenance System.

Design and Implementation of an Intelligent Predictive Maintenance System(2/2)

National Science Council Grant, Grant No.: NSC 94 2622 E 006 001.

Application of Intelligent Predictive Maintenance System to predict the health condition of

the automation equipments in a semiconductor manufacturing system.

Application of neural network, data mining, statistical analysis and object oriented

technologies to construct the Intelligent Predictive Maintenance System.

Development of e Diagnostics and e Maintenance Systems for Semiconductor Equipment Main

Project(3/3)

National Science Council Grant, Grant No.: NSC 94 2212 E 006 005.

Adoption of distributed object orientated technology to develop the web service agent.

Integration of e Diagnostics with e Maintenance systems to manage semiconductor

manufacturing equipments.

Teaching Assistant, National Cheng Kung University, Tainan, Taiwan (Jul. 2004 Aug. 2004)

Course: “Theory and Practice of Artificial Neural Network Algorithm,” Institute of

Manufacturing Engineering.

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