Harok Bae, Ph.D.

Department:
Mechanical & Materials Engineering
Title:
Associate Professor
Address:
Russ Engineering Center 227, 3640 Colonel Glenn Hwy, Dayton, OH 45435-0001
Phone:
937-775-5089
Email:
harok.bae@wright.edu

 

EDUCATION

Wright State University, Mechanical Engineering, Ph.D., 2004

Ajou University, South Korea, Civil Engineering, M.S., 2001

Ajou University, South Korea, Civil Engineering, B.S., 1999

 

ACADEMIC EXPERIENCE

Wright State University          Associate Professor    2017 – present          

Wright State University          Assistant Professor     2011 – 2017

Wright State University          Research Assistant     2001 - 2004

Ajou University                        Research Assistant     1999 - 2001

 

NON-ACADEMIC EXPERIENCE

USAF-Summer Faculty Fellowship Program, AFOSR- AFRL & AFIT, 2015, 2016,2019,2020

AFRL SSC, Summer Researcher, 2012 Summer

Caterpillar Inc., Senior R&D Engineer, 2007 – 2011

Belcan Corp. (Onsite at Caterpillar Inc), Senior R&D Engineer, 2004 – 2007

 

TEACHING

ME1020           Engineering programming with Matlab

ME4120           Finite Element Analysis

ME4140           Mechanical Design I

ME4210           Mechanical Vibration

ME4910 & 4920   Capstone Design I & II

ME7060           Structural Reliability

ME7210           Computational Methods for Structural Dynamics

ME7120           Finite Element Method Applications

ME7080           Multidisciplinary Structural Optimization

EGR7040         Design Optimization

 

RESEARCH INTEREST

Uncertainty Quantification (Probabilistic and Non-probabilistic Approaches)

Engineering Data Analytics & Physic-Informed Machine Learning for Mechanical and Aerospace Engineering

Multi-Fidelity Adaptive Learning with Multiple Information Sources

Multi-Disciplinary Design Optimization: Hypersonic Air vehicle & Heavy Machinery Equipment

 

PUBLICATIONS

Journal publication:

  1. Beachy, A. J., Bae, H., Camberos, J. A., Grandhi, R., (2023) “Epistemic Modeling Uncertainty of Rapid Neural Network Ensembles for Adaptive Learning,” Finite Elements in Analysis and Design, (under review).
  2. Beachy, A., Bae, H., Boyd, I., Grandhi, R., (2021) “Emulator embedded neural networks for multi-fidelity conceptual design exploration of hypersonic vehicles,” Structural and Multidisciplinary Optimization, Vol. 64, No. 5, pp. 2999-3016.
  3. Clark, D., Bae, H., and Forster, E., (2020) “Gaussian Surrogate Dimension Reduction for Efficient Reliability-Based Design Optimization,” AIAA Journal, Vol. 58, No. 11, doi.org/10.2514/1.J059325
  4. Bae, H., Beachy, A., Clark, D. L., Deaton, J. D., and Forster, E., (2020) “Multi-Fidelity Modeling using Non-Deterministic Localized-Galerkin Approach,” AIAA Journal, Vol. 58,. No. 5, pp. 2246-2260, doi.org/10.2514/1.J058410
  5. Bae, H., Boyd, I. M., Carper, E., and Brown, J., (2019) “Accelerated Multi-Fidelity Emulator Modeling for Probabilistic Rotor Response Study”, Journal of Engineering for Gas Turbine and Power, Vol. 141, No. 12, 121019.
  6. Clark, D. L., Allison, D. L., Bae, H., and Forster, E. E., (2019) “Effectiveness Based Design of an Aircraft Considering Mission Uncertainty”, Journal of Aircraft (AIAA), Vol. 56, No. 5, pp. 1961-1972, doi.org/10.2514/1.C035402.
  7. Bae, H., Clark, D. L., and Forster, E. E., (2019) “Non-Deterministic Kriging for Engineering Design Exploration”, AIAA Journal, Vol. 57, No. 4, pp. 1659-1670.  
  8. Bae, H., and Forster, E. E., (2017) “Improved Neumann Expansion Method for Stochastic Finite Element Analysis”, Journal of Aircraft (AIAA), Vol. 54, No. 3, pp. 967-979.
  9. Bae, H., Clark, D. L., and Alyanak, E., (2017) “Sequential Subspace Robustness Assessment and Sensitivity Analysis”, AIAA Journal, Vol. 55, No. 2, pp. 610-623.
  10. Clark, D. L., Bae, H., Gobal, K., and Penmetsa, R. C., (2016) “Engineering Design Exploration Utilizing Locally Optimized Covariance Kriging”, AIAA Journal, Vol. 54, No. 10, pp. 3160-3175.
  11. Bae, H., and Alyanak, E., (2016) “Sequential Subspace Reliability Method using Univariate Revolving Integration”, AIAA Journal, Vol. 54, No. 7, pp. 2160-2170.
  12. Bae, H., Andou, H., Nam, S., Kim, S., and Ha, C., (2014) “Fatigue design load identification using engineering data analytics,” Journal of Mechanical Design, Vol. 137, No. 1, 011001, doi: 10.1115/1.4027849. (Invited as a Featured Article by JMD)
  13. Silva, M., Tortorelli, D., Norato, J., and Bae, H., (2010) “Component and system reliability-based topology optimization using a single loop method,” International Journal for Structural and Multidisciplinary Optimization, Vol. 41, No. 1, pp. 87-106.
  14. Alyanak, E. J., Grandhi, R. V., and Bae, H., (2008) “Gradient-projection for reliability-based design optimization using evidence theory”, Engineering Optimization, Vol. 40, Issue 10, pp. 923-935.
  15. Tonon, F., Bae, H., Grandhi, R. V., and Pettit, C. L., (2006) “Using random set theory to calculate reliability bounds for a wing structure,” Structures & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance, Vol. 2, No. 3-4, pp. 191-200.
  16. Bae, H., Grandhi, R. V., and Canfield, R. A., (2006) “Efficient Successive Reanalysis Technique for Engineering Structures,” AIAA Journal, Vol. 44, No. 8, pp. 1883-1889.
  17. Bae, H., Grandhi, R. V., and Canfield, R. A., (2006) “Reliability Based Optimization of Engineering Structures Under Imprecise Information,” International Journal of Materials and Product Technology, Vol. 25, No. 1/2/3., pp. 112-126
  18. Bae, H., Grandhi, R. V., and Canfield, R. A., (2006) “Sensitivity Analysis of Structural Response Uncertainty Propagation Using Evidence Theory,” International Journal for Structural and Multidisciplinary Optimization, Vol. 31, No. 4, pp. 270-279.
  19. Bae, H., Grandhi, R. V., and Canfield, R. A., (2006) “Accelerated Engineering Design Optimization Using Successive Matrix Inversion Method,” International Journal for Numerical Methods in Engineering, Vol. 66, Issue 9, pp. 1361-1377.
  20. Bae, H., Grandhi, R. V., and Canfield, R. A., (2004) “An Approximation Approach for Uncertainty Quantification Using Evidence Theory,” Reliability Engineering and System Safety, Vol. 86, No. 3, pp. 215-225.
  21. Bae, H., Grandhi, R. V., and Canfield, R. A., (2004) “Successive Matrix Inversion method for Reanalysis of Engineering Structural Systems,” AIAA Journal, Vol. 42, No. 8, pp. 1529-1535.
  22. Bae, H., Grandhi, R. V., and Canfield, R. A., (2004) “Epistemic Uncertainty Quantification Techniques Including Evidence Theory for Large-Scale Structures,” International Journal of Computers and Structures, Vol. 82, pp. 1101-1112.
  23. Bae, H., Grandhi, R. V., and Canfield, R. A., (2003) “Uncertainty Quantification of Structural Response Using Evidence Theory,” AIAA Journal, Vol. 41, No. 10, pp. 2062-2068.
  24. Bae H., Hong S., and Shin Y., (2001) “Optimal Design of Laminated Composite Beams with Open Cross Section,” The Journal of the Computational Structural Engineering Institute of Korea, Vol. 14, No. 2, 2001, pp. 107-116.

 

conference publication:

  1. Beachy, A. J., Bae, H., Camberos, J. A., and Grandhi, R.V., (2023), “Rapid Training of Multi-Fidelity Neural Network Ensembles and Their Application in Estimating Epistemic Modeling Uncertainty for Adaptive Learning,” 17th U. S. National Congress on Computational Mechanics, Albuquerque, NM, July 23-27.
  2. Beachy, A. J., Bae, H., Camberos, J. A., and Grandhi, R.V., (2023), “Adaptive Selection of Decomposed Function Emulators for Rapid Neural Networks,” AIAA AVIATION Forum, San Diego, CA and Online, AIAA 2023-4372.
  3. Beachy, A. J., Bae, H., Camberos, J. A., and Grandhi, R.V., (2023), “Rapid Training of Emulator Embedded Neural Networks for Multi-Fidelity Conceptual Design Studies,” 25th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2022, National Harbor, MD & Online, AIAA- 2023-0902.
  4. Beachy, A.J., Bae, H., Fischer, C.C. and Grandhi, R.V., (2022), “Adaptive Learning of Emulator Embedded Neural Networks for Multi-Fidelity Conceptual Design Studies,” 24rd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2022, San Diego, CA, AIAA- 2022-0385.
  5. Beachy, A., Bae, H., and Forster, E., (2021) “Efficient Multi-Fidelity Modeling of Constraints for Design Optimization Based on Expected Usefulness,” 23rd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2021, Virtual Forum, AIAA- 2021-1481.
  6. Beachy, A., Bae, H., Boyd, I. M., and Ramana Grandhi., (2021) “Emulator Embedded Neural Networks for Multi-Fidelity Conceptual Design Exploration of Hypersonic Vehicles,” 23rd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2021, Virtual Forum, AIAA-2021-1241.
  7. Boyd, I. M., Bae, H., and Brown, J., (2020) “Adaptive Sampling and Classification Decision Boundary Optimization for Mode Shape Emulation,” 22nd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2020, Orlando, FL, AIAA-2020-0419.
  8. Clark, D. L., Bae, H., and Forster, E., (2020) “Gaussian Surrogate Dimension Reduction for Efficient Reliability-Based Design Optimization,” 22nd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2020, Orlando, FL, AIAA-2020-0412.
  9. Beachy, A., Clark, D. L., Bae, H., and Forster, E., (2020) “Expected Effectiveness Based Adaptive Multi-Fidelity Modeling for Efficient Design Optimization,” 22nd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2020, Orlando, FL, AIAA-2020-1144.
  10. Forster, E. E., Beran, P. S., Kolonay, R. M., and Bae, H., (2020) “Synthesis of Discrete Distributed, Correlated Multivariate Utilizing Walsh Functions for Uncertainty Quantification,” 22nd AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2020, Orlando, FL, AIAA-2020-1417.
  11. Boyd, I. M., Bae, H., Carper, E., and Brown, J., (2019) “Non-Deterministic Reduced Order Modeling for Mistuned Bladed Rotor Emulation,” 21st AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2019, San Diego, CA, AIAA 2019-2001.
  12. Clark, D. L., Bae, H., Deaton, J. D., and Forster, E., (2019) “Adaptive Infill Criteria for Non-Deterministic Kriging Considering Aleatory and Epistemic Uncertainties,” 21st AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2019, San Diego, CA, AIAA 2019-1498.
  13. Bae, H., Beachy, A., Clark, D. L., Deaton, J. D., and Forster, E., (2019) “Multi-Fidelity Modeling using Non-Deterministic Localized-Galerkin Approach,” 21st AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2019, San Diego, CA, AIAA 2019-1999.
  14. Bae, H., Boyd, I. M., Carper, E., and Brown, J., (2019) “Non-Deterministic Emulator for Mistuned Bladed Rotor Responses with Multi-Fidelity Modeling Approach,” 21st AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2019, San Diego, CA, AIAA 2019-2003.
  15. Forster, E. E., Beran, P. S., Kolonay, R. M., and Bae, H., (2019) “Stochastic Characterization Utilizing Walsh Functions for Uncertainty Quantification of Finite Element Analysis,” 21st AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2019, San Diego, CA, AIAA 2019-1726.
  16. Bae, H., Boyd, I. M., Carper, E., and Brown, J., (2019) “Accelerated Multi-Fidelity Emulator Modeling for Probabilistic Rotor Response Study”, Proceedings of the Turbomachinery Technical Conference & Exposition, Phoenix, Arizona, USA, GT2019-90513
  17. Clark, D. L., Allison, D. L., Bae, H., and Forster, E., (2018) “Metamodeling for Effectiveness Based Aircraft Design under Uncertainty,” 19th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA AVIATION Forum. Atlanta, GA, AIAA 2018-3743. (4 out of 23 student paper competition)
  18. Clark, D. L., Bae, H., and Forster, E. E.,  (2018) “Non-deterministic Metamodeling for Correlated and Uncorrelated Random Variables”, 20th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2018, Kissimmee, FL, AIAA 2018-0667. (Best student paper competition finalist)
  19. Bae, H., and Forster, E. E., (2017) “Improved Neumann Expansion Method for Stochastic Finite Element Analysis”, 19th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2017, Grapevine, TX, AIAA 2017-0365.
  20. Clark, D. L., and Bae, H., (2017) “A Stochastic Kriging Framework for Responses with Mixed Uncertainty”, 19th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2017, Grapevine, TX, AIAA 2017-0593.
  21. Bae, H., and Alyanak, E., (2016) “Sequential Subspace Robustness Assessment”, 18th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2016, San-Diego, CA. AIAA-2016-1676
  22. Clark, D. L., Bae, H., Gobal, K., and Penmetsa, R. C., (2016) “Engineering Design Exploration Utilizing Locally Optimized Covariance Kriging”, 18th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2016, San-Diego, CA. AIAA-2016-0428 (Best student paper competition finalist)
  23. Forster, E. E., Beran, P., Kolonay, R., and Bae, H., (2016) “Using Normalized Parameter Perturbations to Investigate Design, Sensitivity Analysis, and Uncertainty Quantification” 18th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2016, San-Diego, CA. AIAA-2016-0683
  24. Forster, E. E., Beran, P. S., Kolonay, R. M., and Bae, H., (2015) “Investigating Uncertainty in Capability versus Cost Decision-Making,” 17th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2015, Kissimmee, FL,  AIAA-2015-0916
  25. Clark, D., Bae, H., and Penmetsa, R., (2015) “Locally-Optimized Covariance Kriging for Engineering Design Exploration,” 17th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2015, Kissimmee, FL, AIAA-2015-1372
  26. Bae H., (2015) “Sequential Reliability Estimation Correction (SREC) with Univariate Revolving Integration (URI),” 17th AIAA Non-Deterministic Approach: held at the AIAA SciTech Forum 2015, Kissimmee, FL, AIAA-2015-1816.
  27. Li, H., and Bae, H., (2014) “Fatigue Design Load Development for Conceptual Structural Optimization,” 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA Aviation and Aeronautics Forum and Exposition, Atlanta, GA. (Best student paper competition finalist)
  28. Bae, H., Andou, H., Nam, S., Kim, S., and Ha, C., (2013) “Sensor (monitoring points) layout method for fatigue design load extraction,” 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Boston, MA, AIAA-2013-1691.
  29. Silva, M., Tortorelli, D., Norato, J., and Bae, H., (2008) “Topology optimization with regards to system reliability confidence level,” International Conference on Engineering Optimization, Rio De Janeiro, Brazil.
  30. Bae, H., Jung, S., Repalle, J., and Ha, C., (2008) “Subspace-Based Reliability Method (SBRM) with the Target Confidence Level,” 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Schaumburg, IL, AIAA-2008-1713.
  31. Bae, H., Grandhi, R. V., and Canfield, R. A., (2005) “Reliability-Based Design Optimization Under Imprecise Uncertainty,” 46rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Austin, TX, April 2005, AIAA-2005-2069.
  32. Bae, H., Grandhi, R. V., and Canfield, R. A., (2004) “Accelerated Engineering Design Optimization Using Successive Matrix Inversion Method,” 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, AIAA-2004-4377.
  33. Bae, H., Grandhi, R. V., and Canfield, R. A., (2004) “An Efficient Successive Reanalysis Technique for Engineering Structures,” 45rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Palm Springs, CA, AIAA-2004-1870.
  34. Tonon, F., Bae, H., Pettit, C. L., and Grandhi, R. V., (2004) “Using Random Set Theory to Calculate Reliability Bounds in Situations of Little Information: an Application to a FE Intermediate Complexity Wing Model,” 6th AIAA Non-Deterministic Approaches Forum, Palm Springs, CA, AIAA-2004-1583.
  35. Bae, H., Grandhi, R. V., and Canfield, R. A., (2003) “Uncertainty Quantification Using Evidence Theory,” The AIAA/ICAS International Air and Space Symposium: the next 100 years, Dayton, OH.
  36. Bae, H., and Grandhi, R. V., (2003) “Evidence Theory for Uncertainty Quantification in Structural Design,” International Conference on Computational & Experimental Engineering and Science, Corfu, Greece.  
  37. Bae, H., Grandhi, R. V., and Canfield, R. A., (2003) “Uncertainty Quantification Using Evidence Theory with a Cost-Effective Algorithm,” Second M.I.T. Conference on Computational Fluid and Solid Mechanics, M.I.T Cambridge, MA, U.S.A., pp. 2197-2200. 

 

HONORS AND AWARDS

  • Outstanding Faculty Award, College of Engineering and Computer Science, Wright State University, 2022
  • AIAA Special Service Citation - Outstanding Service to AIAA and the Aerospace Profession as DCASS Chair, 2020 
  • USAF-Summer Faculty Fellowship Program,  AFOSR-AFIT, 2021, 2020
  • Best Presentation Award, 45th Dayton-Cincinnati Aerospace Sciences Symposium, Dayton, OH, AIAA/ASME/DCASS, 2020
  • USAF-Summer Faculty Fellowship Program, AFOSR-AFRL, 2019, 2016, 2015
  • Best Presentation Award, 44th Dayton-Cincinnati Aerospace Sciences Symposium, Dayton, OH, AIAA/ASME/DCASS, 2019
  • Best Presentation Award, 10th Annual Dayton Engineering Sciences Symposium, Dayton, OH, AIAA/DESS, 2014
  • Summer Faculty Research Program, AFRL, SSC, 2012
  • Honorable Engineering Performance Rate, Caterpillar Inc., 2010
  • Special Global Assignment for Caterpillar Hydraulic Excavator Design Center, Akashi, Japan, Caterpillar Inc., 2008
  • Best Presentation, A/S/T forum, Caterpillar Inc., 2005
  • Best Student Paper Award, 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY, AIAA/ISSMO, 2004
  • Second Best Paper Award, International Air and Space Symposium: The Next 100 Years, the Space Foundation, 2003
  • Young Researcher Fellowship (for exemplary research in computational mechanics), Second MIT Conference in Computational Fluid and Solid Mechanics, the Second MIT Conference, 2003
  • Outstanding Graduate Student Award, Wright State University, 2003
  • Competitive Scholarship, Dayton Area Graduate Studies Institute (DAGSI), 2002
  • Graduation with University President’s Award, Ajou University, 1999
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