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Faculty
Stephen Baek
Associate Professor of Data Science
School of Data Science
Email: baek@virginia.edu
Additional Contact Information
Website: www.stephenbaek.com
Office: Elson, Room 189A
Baek is an applied geometer, scientist, and entrepreneur. He studies the space of shapes using machine learning. Baek’s educational background is in mechanical and aerospace engineering.
Prior to joining UVA in 2021, he was an Assistant Professor at the University of Iowa, where he taught courses on deep learning. There, he also founded and directed the Visual Intelligence Laboratory, which conducts fundamental research in computational geometry, vision, and machine learning. Baek’s research interests include geometric data analysis, geometric deep learning, scientific machine learning, and data-driven design.
Baek’s published research is extensive, including “Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials” and “Deep segmentation networks predict survival of non-small cell lung cancer.”
Baek holds a PH.D. in Mechanical and Aerospace Engineering from Seoul National University and a B.S. in Mechanical and Aerospace Engineering from Seoul National University.
Education
- PH.D., Mechanical and Aerospace Engineering, Seoul National University
- B.S., Mechanical and Aerospace Engineering, Seoul National University
Data Science Domains
Analytics, Design
Areas of Practice
Mechanical Engineering, Applied Mechanics, Digital Human Modeling, Sports Science, Medicine, Analytics
Methodologies
Geometric Data Analysis, Computational Geometry, Computer Vision
Selected Publications
Baek, S.-Y., & Lee, K. (2012). Parametric human body shape modeling framework for human-centered product design. Computer Aided Design, 44(1), 56–67. doi:10.1016/j.cad.2010.12.006
Ouyang, T., He, Y., Li, H., Sun, Z., & Baek, S. (2019). Modeling and forecasting short-term power load with copula model and deep belief network. IEEE transactions on emerging topics in computational intelligence, 3(2), 127–136. doi:10.1109/tetci.2018.2880511
Song, J., Cho, S., Baek, S.-Y., Lee, K., & Bang, H. (2014). GaFinC: Gaze and Finger Control interface for 3D model manipulation in CAD application. Computer Aided Design, 46, 239–245. doi:10.1016/j.cad.2013.08.039
Shi, Y., Zhang, Y., Baek, S., De Backer, W., & Harik, R. (2018). Manufacturability analysis for additive manufacturing using a novel feature recognition technique. Computer-Aided Design and Applications, 15(6), 941–952. doi:10.1080/16864360.2018.1462574
Baek, S., He, Y., Allen, B. G., Buatti, J. M., Smith, B. J., Tong, L., … Wu, X. (2019). Deep segmentation networks predict survival of non-small cell lung cancer. Scientific Reports, 9(1), 17286. doi:10.1038/s41598-019-53461-2
Baek, S.-Y., Lim, J., & Lee, K. (2015). Isometric shape interpolation. Computers & Graphics, 46, 257–263. doi:10.1016/j.cag.2014.09.025
Baek, S.-Y., Wang, J.-H., Song, I., Lee, K., Lee, J., & Koo, S. (2013). Automated bone landmarks prediction on the femur using anatomical deformation technique. Computer Aided Design, 45(2), 505–510. doi:10.1016/j.cad.2012.10.033
Baek, S.-Y., Kim, B.-Y., & Lee, K. (2009). 3D face model reconstruction from single 2D frontal image. Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry - VRCAI ’09. Presented at the the 8th International Conference, Yokohama, Japan. doi:10.1145/1670252.1670274
Sun, Z., He, Y., Gritsenko, A., Lendasse, A., & Baek, S. (2020). Embedded spectral descriptors: learning the point-wise correspondence metric via Siamese neural networks. Journal of Computational Design and Engineering, 7(1), 18–29. doi:10.1093/jcde/qwaa003
Akusok, A., Baek, S., Miche, Y., Björk, K.-M., Nian, R., Lauren, P., & Lendasse, A. (2016). ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing, 205, 247–263. doi:10.1016/j.neucom.2016.04.039
Harik, R., Shi, Y., & Baek, S. (2017). Shape Terra: mechanical feature recognition based on a persistent heat signature. Computer-Aided Design and Applications, 14(2), 206–218. doi:10.1080/16864360.2016.1223433
Baek, S. Y., & Lee, K. (2016). Statistical foot-shape analysis for mass-customisation of footwear. International journal of computer aided engineering and technology, 8(1/2), 80. doi:10.1504/ijcaet.2016.073265
Chun, S., Roy, S., Nguyen, Y. T., Choi, J. B., Udaykumar, H. S., & Baek, S. S. (2020). Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials. Scientific Reports, 10(1), 13307. doi:10.1038/s41598-020-70149-0
Luo, Y., Fan, Z., Baek, S., & Lu, J. (2018). Machine learning-aided exploration of relationship between strength and elastic properties in ascending thoracic aneurysm. International Journal for Numerical Methods in Biomedical Engineering, 34(6), e2977. doi:10.1002/cnm.2977
Sun, Z., Rooke, E., Charton, J., He, Y., Lu, J., & Baek, S. (2020). ZerNet: Convolutional neural networks on arbitrary surfaces via Zernike local tangent space estimation. Computer Graphics Forum: Journal of the European Association for Computer Graphics, 39(6), 204–216. doi:10.1111/cgf.14012
Cho, S., Baek, D., Baek, S.-Y., Lee, K., & Bang, H. (2014). 3D volume drawing on a potter’s wheel. IEEE computer graphics and applications, 34(3), 50–58. doi:10.1109/mcg.2014.3
He, Y., Fei, F., Wang, W., Song, X., Sun, Z., & Baek, S. (2018, Augustus 26). Predicting manufactured shapes of a projection micro-stereolithography process via convolutional encoder-decoder networks. Volume 1B: 38th Computers and Information in Engineering Conference. Presented at the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Quebec City, Quebec, Canada. doi:10.1115/detc2018-85458
Choi, J. H., Park, S.-W., Baek, S.-Y., & Lee, K. (2010). Evaluation of handheld products by computing user hand fatigue. Simulation Modelling Practice and Theory, 18(2), 230–239. doi:10.1016/j.simpat.2009.10.009
Gritsenko, A., Sun, Z., Baek, S., Miche, Y., Hu, R., & Lendasse, A. (2019). Deformable surface registration with extreme learning machines. In Proceedings in Adaptation, Learning and Optimization (bll 304–316). doi:10.1007/978-3-030-01520-6_28
Gritsenko, A., Akusok, A., Miche, Y., Bjork, K.-M., Baek, S., & Lendasse, A. (2016, Julie). Combined nonlinear visualization and classification: ELMVIS++C. 2016 International Joint Conference on Neural Networks (IJCNN). Presented at the 2016 International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada. doi:10.1109/ijcnn.2016.7727527
Park, J., Kim, T., Baek, S.-Y., & Lee, K. (2015). An algorithm for estimating surface normal from its boundary curves. Journal of Computational Design and Engineering, 2(1), 67–72. doi:10.1016/j.jcde.2014.11.007
Baek, S. Y., & Lee, K. (2013). Parametric human body modelling system for virtual garment fitting. International journal of computer aided engineering and technology, 5(2/3), 242. doi:10.1504/ijcaet.2013.052932
Song, S., & Baek, S. (2021). Body shape matters: Evidence from machine learning on body shape-income relationship. PloS One, 16(7), e0254785. doi:10.1371/journal.pone.0254785
Gritsenko, A., Akusok, A., Baek, S., Miche, Y., & Lendasse, A. (2018). Extreme learning machines for VISualization+R: Mastering visualization with target variables. Cognitive Computation, 10(3), 464–477. doi:10.1007/s12559-017-9537-6
Roshdibenam, V., Jogerst, G. J., Butler, N. R., & Baek, S. (2021). Machine learning prediction of fall risk in older adults using Timed Up and Go test kinematics. Sensors (Basel, Switzerland), 21(10), 3481. doi:10.3390/s21103481
Yoon, S., Baek, S., & Lee, D. (2019). 4D cardiac motion modeling using pair-wise mesh registration. In Lecture notes in computer science. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges (bll 161–170). doi:10.1007/978-3-030-12029-0_18
Liu, T. C., Bhatt, R., Farrell, K. D., Baek, S., Liu, Y. M., Malek, K. A., & Arora, J. (2018). A quantitative assessment of variations in the palm surface area as a percentage of total body surface area within the general population. International journal of human factors modelling and simulation, 6(1), 81. doi:10.1504/ijhfms.2018.091359
Lee, S., Baek, S.-Y., Son, J., Kim, D., & Lee, K. (2012). Changes in Medio-lateral knee joint reactions of flatfoot patients due to insole conditions. Journal of Biomechanics, 45, S518. doi:10.1016/s0021-9290(12)70519-5
Sun, Z., Harik, R., & Baek, S. (2018). Mesh segmentation via geodesic curvature flow. Computer-Aided Design and Applications, 15(5), 677–683. doi:10.1080/16864360.2018.1441235
Baek, S.-Y., Kam, D.-U., & Lee, K. (2015). Differential operators on a triangular mesh and their applications. 한국 CAD/CAM 학회 논문집, 20(1), 44–54. doi:10.7315/cadcam.2015.044
Huang, W., Samanta, A., Chen, Y., Baek, S., Shaw, S. K., & Ding, H. (2021). Machine learning model for understanding laser superhydrophobic surface functionalization. Journal of Manufacturing Processes, 69, 491–502. doi:10.1016/j.jmapro.2021.08.007
Tong, L., Langton, R., Glykys, J., & Baek, S. (2021). ANMAF: an automated neuronal morphology analysis framework using convolutional neural networks. Scientific Reports, 11(1), 8179. doi:10.1038/s41598-021-87471-w
Charton, J., Baek, S., & Kim, Y. (2021). Mesh repairing using topology graphs. Journal of Computational Design and Engineering, 8(1), 251–267. doi:10.1093/jcde/qwaa076
Baek, S. (2019). Driver360: A four-dimensional scanning system to better understand drivers [Data set]. doi:10.7910/DVN/LMPH3U
Akusok, A., Eirola, E., Miche, Y., Oliver, I., Björk, K.-M., Gritsenko, A., … Lendasse, A. (2018). Incremental ELMVIS for unsupervised learning. In Proceedings in Adaptation, Learning and Optimization (bll 183–193). doi:10.1007/978-3-319-57421-9_15
Harik, R., Baek, S.-Y., van Bruchem, B.-J., & van Tooren, M. (2015, Junie 22). SHAPE TERRA: Industrial feature recognition based on persistent heat signature. Proceedings of CAD’15. Presented at the CAD’15. doi:10.14733/cadconfp.2015.1-5
Baek, S.-Y., & Lee, K. (2014). An isometric shape interpolation method on mesh models. 한국 CAD/CAM 학회 논문집, 19(2), 119–128. doi:10.7315/cadcam.2014.119
Son, J., Baek, S.-Y., & Lee, K. (2012, April 17). Automatic measurement of dimensions of 3D foot scan data. Proceedings of the 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 17-18 April 2012. Presented at the 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 17-18 April 2012, Tokyo, Japan. doi:10.15221/a12.147
Lee, S.-J., Baek, S.-Y., Son, J.-K., Kim, D.-W., & Lee, K.-W. (2012). Changes in Medio-lateral knee joint reaction force of patients with over-pronation during gait due to insole parameters - A case study. 한국 CAD/CAM 학회 논문집, 17(3), 149–155. doi:10.7315/cadcam.2012.149
Sun, Z., Lu, J., & Baek, S. (2018). Wall stress estimation of cerebral aneurysm based on Zernike convolutional neural networks. Opgehaal van http://arxiv.org/abs/1806.07441
Chun, S., Ghalehjegh, N. H., Choi, J. B., Schwarz, C. W., Gaspar, J. G., McGehee, D. V., & Baek, S. S. (2019). NADS-Net: A nimble architecture for driver and seat belt detection via convolutional neural networks. Opgehaal van http://arxiv.org/abs/1910.03695