Paper ID #10178 Improvement of bioengineering courses through systems biology and biopro- cess modeling Dr. Kirk D. Dolan, Michigan State University Kirk Dolan earned degrees in agricultural engineering at U. of FL (B.S.), UC Davis (M.S.), and Michi- gan St. U. (Ph.D.). He spent 6 years working in China as the Asian Director for Pharmaceutical and Food Specialists, San Jose, CA, a food safety consulting company and process authority. He has been assistant (2000)/associate (2005) professor of food engineering at Michigan State University, with joint appointments in the Department of Food Science and Human Nutrition, and Department of Biosystems and Agricultural Engineering. His extension appointment to assist the MI food industry gives opportu- nities to visit many food factories and hold workshops on various food safety issues. His research and teaching are in thermal processing, inverse problems, and parameter estimation under dynamic conditions. He teaches an undergraduate engineering class on biological fluid processing and a graduate engineering class on numerical techniques and parameter estimation using MATLAB. Dr. Yinjie J Tang, Washington University I did my PhD in chemical engineering at University of Washington. I worked on DOE GTL projects during my postdoctoral period in Lawrence Berkeley National Laboratory (with Dr. Jay Keasling). Since moving to Washington University in St. Louis, my research focuses on characterizing and engineering environmental microorganisms. Milestones reached include 13C-metabolic pathway analysis, metabolic flux modeling, and systems genetic engineering of E.coli and cyanobacteria for chemical productions. I have received NSF CAREER Award (2010) and Ralph E. Powe Junior Faculty Enhancement Award (2010). I teach Process Dynamics and Control, Fluid Mechanics, Bioprocess Engineering, and Metabolic Engineering at Washington University. I also co-taught Advanced Energy Laboratory (2011) and Interna- tional Experience in Bioenergy (2012). I received a Department Chair’s Award for Outstanding Teaching in 2013. Dr. Wei Liao, Michigan State University c American Society for Engineering Education, 2014 Page 24.713.1
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Paper ID #10178
Improvement of bioengineering courses through systems biology and biopro-cess modeling
Dr. Kirk D. Dolan, Michigan State University
Kirk Dolan earned degrees in agricultural engineering at U. of FL (B.S.), UC Davis (M.S.), and Michi-gan St. U. (Ph.D.). He spent 6 years working in China as the Asian Director for Pharmaceutical andFood Specialists, San Jose, CA, a food safety consulting company and process authority. He has beenassistant (2000)/associate (2005) professor of food engineering at Michigan State University, with jointappointments in the Department of Food Science and Human Nutrition, and Department of Biosystemsand Agricultural Engineering. His extension appointment to assist the MI food industry gives opportu-nities to visit many food factories and hold workshops on various food safety issues. His research andteaching are in thermal processing, inverse problems, and parameter estimation under dynamic conditions.He teaches an undergraduate engineering class on biological fluid processing and a graduate engineeringclass on numerical techniques and parameter estimation using MATLAB.
Dr. Yinjie J Tang, Washington University
I did my PhD in chemical engineering at University of Washington. I worked on DOE GTL projectsduring my postdoctoral period in Lawrence Berkeley National Laboratory (with Dr. Jay Keasling). Sincemoving to Washington University in St. Louis, my research focuses on characterizing and engineeringenvironmental microorganisms. Milestones reached include 13C-metabolic pathway analysis, metabolicflux modeling, and systems genetic engineering of E.coli and cyanobacteria for chemical productions.I have received NSF CAREER Award (2010) and Ralph E. Powe Junior Faculty Enhancement Award(2010). I teach Process Dynamics and Control, Fluid Mechanics, Bioprocess Engineering, and MetabolicEngineering at Washington University. I also co-taught Advanced Energy Laboratory (2011) and Interna-tional Experience in Bioenergy (2012). I received a Department Chair’s Award for Outstanding Teachingin 2013.
15855–15863. Construction of a parsimonious kinetic model to capture microbial dynamics via
parameter estimation. Inverse Problems in Science and Engineering. 2014. 22(2):
309~324.
Page 24.713.10
Book Chapter 14. Microbial metabolisms and metabolic modeling for biofuel production
in “Bioenergy: Principles and Applications”. Under review.
Book Chapter 15. Enzymatic hydrolysis in “Bioenergy: Principles and Applications”.
Under review.
"Chapter 7: Parameter Identification Under Dynamic Temperature Conditions in
Inactivation Kinetics", Progress on Quantitative Approaches of Thermal Food
Processing, New York, New York: Nova Science Publishers, 2012. Published.
Outcomes
1. Both undergraduate and graduate engineering students are proficient in MATLAB and
Simulink, making them more competitive for jobs.
2. Slides and course syllabus are posted for free use at the website:
http://tang.eece.wustl.edu/MATLAB_WUSTL.htm
3. Journal articles published (on Industrial & Engineering Chemistry Research, Inverse
Problems in Science & Engineering) or ) by student using the methods learned in the
course.
4. BE 835 selected in 2012 as a required course for graduate students in the department.
5. Increased use of MATLAB and Simulink in undergraduate projects and graduate research,
and improvement of the quality of the academic research.
Conclusions
All four classes were significantly improved by teaching and hands-on problem solving with
MATLAB and Simulink. The individual student licenses provided by Mathworks ensured that
toolboxes could be used at all times. This class, including multiple-scale modeling education,
bridges the gap between the biological science and bioprocess engineering, as shown in the
diagram (Figure 4). Such education will train the students with diverse skills and expertise on
biotechnology applications.
Figure 4: The overall goal of course development.
Page 24.713.11
Acknowledgments
This project was supported by Mathworks’ Curriculum Development Education Grant.
Bibliography
[1] Stephanopoulos, G., A.A. Aristidou, and J.H. Nielsen, Metabolic engineering : principles and methodologies, San Diego: Academic Press, 1998.
[2] Seborg, D.E., T.F. Edgar, D.A. Mellichamp, and F.J. Doyle, III, Process Dynamics and Control, Hoboken, NJ: John Wiley and Sons, 2011.
[3] Shuler, M.L., and F. Kargi, Bioprocess engineering : basic concepts, 2nd ed., Upper Saddle River, NJ: Prentice Hall, 2002.
[4] Chapra, S.C., Applied numerical methods with MATLAB for engineers and scientists, 3rd ed., New York: McGraw-Hill, 2012.
[5] Gustafson, M., "PowerPoint slides accompanying book Applied numerical methods with MATLAB for engineers and scientists", Duke University, Durham, NC, 2012.
[6] Beck, J.V., and K.J. Arnold, Parameter estimation in engineering and science, New York: Wiley, 1977.
[7] Beck, J.V., and K.J. Arnold, Parameter Estimation in Engineering and Science, Revised Chapter 6, www.beckeng.com, 2007.
[8] Dolan, K.D., and D.K. Mishra, "Chapter 7: Parameter Identification Under Dynamic Temperature Conditions in Inactivation Kinetics. ", Progress on quantitative approaches of thermal food processing, Hauppauge, N.Y.: Nova Science Publishers, 2012, pp. x, 337 p.