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Affiliation: Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology
Address: Room D317, Western Campus Experimental Complex of Chemical Engineering, Dalian University of Technology, Dalian, Liaoning, China 116024
Email: yachaodong@dlut.edu.cn
ORCID: http://orcid.org/0000-0002-6990-7327
Education
University of Wisconsin-Madison, US
PhD Chemical Engineering 09/2011 - 05/2017
· Thesis: Modeling and Solution Methods for Inventory Routing Problems in Chemical Industry
· Minor in Computer Sciences
Zhejiang University, China
B.S. Automation, Department of Control Science & Engineering 02/2007-06/2011
Research Experience
School of Chemical Engineering, Dalian University of Technology, Dalian, China
Associate professor 09/2020 – date
Christos Georgakis Group, Tufts University, Medford, MA, US
Postdoctoral fellow 06/2017 – 05/2020
Christos Maravelias Group, UW Madison, WI, US
Research assistant 11/2011 – 05/2017
R&D, Air Liquide, Newark, DE, US
Intern studying pipeline network optimization 06/2015 - 08/2015
R&D, Praxair Inc., Tonawanda, NY, US
Intern studying large-scale supply chain distribution problems 05/2012 - 08/2012
Teaching Experience
Chemical & Biological Engineering, Tufts University, MA, US
Guest lecturer
· ChBE 109, undergraduate level Process Dynamics & Control, Fall 2017.
Teaching assistant
· ChBE 170, graduate level Design and Analysis of Experiments, Fall 2019.
Chemical & Biological Engineering, UW Madison, WI, US
Teaching assistant
· CBE 470, undergraduate level Process Dynamics & Control, leading discussions, lab sessions and grading homework and exams, Fall 2012, Spring 2014.
· CBE 660, graduate level Chemical Engineering Mathematics, grading homework and exams, Fall 2014, Fall 2015.
Selected Publications
1. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J. New Time Sampling Strategy for the Estimation of the Parameters in DRSM Models. Industrial & Engineering Chemistry Research, 2020, 59(28), 12792-12800.
2. Dong, Y., Georgakis, C., Mustakis, J., Han, L. and McMullen, J. Optimization for Pharmaceutical Reactions using Dynamic Response Surface Methodology. Computers and Chemical Engineering, 2020, 135, 106778.
3. Sun, X., Liu, L., Dong, Y., Zhuang, Y., Zhang, L., Du J. Superstructure-based Simultaneous Optimization of a Heat Exchanger Network and a Compression-Absorption Cascade Refrigeration System for Heat Recovery. Industrial & Engineering Chemistry Research, 2020, doi.org/10.1021/acs.iecr.0c02776.
4. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J., Han, L., Wang, K., McMullen, J. Grosser, S. and Stone, K. Stoichiometry Identification of Pharmaceutical Reactions using the Constrained Dynamic Response Surface Methodology. AIChE Journal, 2019, 65(11), e16726.
5. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J., Han, L., Wang, K., McMullen, J. Grosser, S. and Stone, K. Constrained Version of the Dynamic Response Surface Methodology for Modeling Pharmaceutical Reaction. Industrial & Engineering Chemistry Research, 2019, 58 (30), 13611-13621.
6. Dong, Y., Maravelias, C.T., and Jerome, N.F. Reoptimization and Policy Analysis for Maritime Inventory Routing under uncertainty. Optimization & Engineering, 2018, 19 (4), 937-976.
7. Dong, Y., Maravelias, C.T., Pinto, J.M., and Sundaramoorthy, A. Solution Methods for Vehicle-based Inventory Routing Problems. Computers & Chemical Engineering, 2017, 101, 259-278.
8. Velez, S., Dong, Y., and Maravelias, C.T. Changeover Formulations for Discrete-Time Mixed-integer Programming Scheduling Models. European Journal of Operational Research. 2017, 260 (3), 949-963.
9. Dong, Y. and Maravelias, C.T. Terminal Constraints for Single-stage Multi-product Scheduling Problems. In Foundations of Computer Aided Process Operations (FOCAPO), Tucson, AZ, January 8-12 2017.
10. Dong, Y., Pinto, J.M., Sundaramoorthy, A., and Maravelias, C.T. MIP Model for Inventory Routing in Industrial Gases Supply Chain. Industrial & Engineering Chemistry Research. 2014, 53 (44), 17214-17225.
Selected Conference Presentations
1. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J., McMullen, J. and Stone K. Optimal Time Sampling Strategy in Pharmaceutical Reactions for the Estimation of Accurate DRSM Models. 2019 American Institute of Chemical Engineers (AIChE) Annual Meeting, Orlando, FL.
2. Dong, Y., Georgakis, C., Mustakis, J. and McMullen, J. Machine Learning Applications in Pharmaceuticals Reactions. 2019 Data Science Forum featuring Machine Learning in Science and Engineering, Atlanta, GA.
3. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J., McMullen, J. and Grosser, S. A Constrained Version of the DRSM Model for Challenging Time-Resolved Pharmaceutical Reaction Data. 2018 AIChE Annual Meeting, Pittsburgh, PA.
4. Dong, Y., Georgakis, C., Mustakis, J., Hawkins, J., McMullen, J. and Grosser, S. Defining the Optimal Operating Window for Pharmaceutical Reactions Using the DRSM Models. 2018 AIChE Annual Meeting, Pittsburgh, PA.
5. Dong, Y., and Maravelias, C.T. Safety Stocks Revisted: Terminal Constraints for Closed-loop Scheduling. 2016 AIChE Annual Meeting, San Francisco, CA.
6. Dong, Y., Pinto, J.M., Sundaramoorthy, A., and Maravelias, C.T. Mixed-Integer Programming Solution Methods for Inventory Routing Problems. 2016 AIChE Midwest Regional Conference. Chicago, IL.
7. Lotero, I., Dong, Y., Gopalakrishnan, A. and Besancon, B. A Comparision of Mixed Integer Linear and Nonlinear Programming Models for Pipeline Network Optimization. 2016 AIChE Spring Meeting and 12th Global Congress on Process Safety, Houston, TX.
8. Dong, Y., Pinto, J.M., Sundaramoorthy, A., and Maravelias, C.T. Mixed-Integer Programming Solution Methods for Inventory Routing Problems. 2015 AIChE Annual Meeting. Salk Lake City, UT.
9. Velez, S., Dong, Y., and Maravelias, C.T. Changeover Formulations for Discrete-Time Mixed-Integer Programming Scheduling Models. 2015 AIChE Annual Meeting. Salk Lake City, UT.
10. Dong, Y., Maravelias, C.T., and Jerome, N.F. Optimization and Analysis Methods for Maritime Inventory Routing. 2014 AIChE Annual Meeting. Atlanta, GA.