Dr. Yusheng Feng is a professor in Mechanical and Biomedical Engineering at The University of Texas at San Antonio. He also serves as a core faculty member of Center for Computational Oncology at the University of Texas at Austin. Dr. Feng is a NIH/K25 career award recipient for his work on integrated computational approach for real-time control of thermal therapeutic treatment. He is the founder and director of Advanced Visualization Lab (VizLab) sponsored by NSF/MRI (Major Research Instrument) grant. The VizLab is now institutionalized and becomes a core facility of UTSA. Dr. Feng is also the co-founder and director of Center for Simulation Visualization and Real-Time Prediction (SiViRT) sponsored by NSF/CREST (Centers for Research Excellence in Science and Technology. The SiViRT Center currently has 23 faculty members from College of Engineering, College of Science, and College of Business. The common thread is mathematical modeling and computer simulation.
Dr. Feng’s main research areas are
- Multi-Scale Modeling of Biological Systems
- Computational Oncology
- Prediction of thermal therapeutic outcomes
- Prediction of Cancer Treatment Outcome
- Network Theory and Biological Pathway Simulation
- 3D Interactive Visualization and Virtual Surgical Simulator
- Medical Device Design.
M. Rahman, Y. Feng, T. Yankeelov, J.T. Oden, “A Fully Coupled Space-Time Multiscale Modeling Framework for Predicting Tumor Growth,” Computer Methods in Applied Mechanics and Engineering, Comp Meth in Appl Mech & Eng, 320:261–286, 2017.
J.T. Oden, Ernesto A. B. F. Lima, Regina C. Almeida, Yusheng Feng, M. N. Rylander, D. Fuentes, D. Faghihi, M. M. Rahman, M. DeWitt, M. Gadde, and J. Zhou, Toward Predictive Multiscale Modeling of Vascular Tumor Growth, Arch Computat Methods Eng, 23(4): pp735-779, 2016
Man Zhang, Zhuhuang Zhou, Shuicai Wu, and Yusheng Feng, “Simulation of Temperature Field for Temperature-Controlled Radio Frequency Ablation using a Hyperbolic Bioheat Equation and Temperature-varied Voltage Calibration: A liver-mimicking phantom study,” Physics in Medicine and Biology, 60(24):9455-9471, December 2015.
E. Biglari, M. Feng, J. Quarles, E. Sako, J. Calhoon, R. Rodriquez, and Y. Feng, Haptics-Enabled Surgical Training System with Guidance Using Deep Learning, UAHCI 2015, Part III, LNCS, M. Antona and C. Stephnides (Eds), pp267-278, 2015. DOI: 10.1007/978-3-319-20684-4_26
Feng Y, S. Boukhris, R. Ranjan, and R. Valencia, Biological Systems: Multiscale Modeling Based on Mixture Theory, Chapter 11 (Page 257-286), Multiscale Modeling in Biomechanics and Mechanobiology, Suvranu De, Wonmuk Hwang and Ellen Kuhl (Eds), Springer-Verlag, London, ©2015.
Feng Y and Biglari E, Interactive Virtual-Reality Driven Learning Framework for Engineering and Science Education, Proceeding of American Engineering Education, 2014.
Yasmin, N. Du, J. Chen, and Y. Feng, “A Haptic-Enabled Novel Approach to Cardiovascular Visualization,” Computer Animation and Virtual Worlds, DOI:10.1002/cav.1586, 2014B.E. Yunker, G.D. Dodd, S.J. Chen, S. Chang, A.L. Scherzinger, R. Shandas, Y. Feng, K.S. Hunter, The design and fabrication of two portal vein flow phantoms by different methods, Med. Phys, 41(2), 023701-1:6; doi: 10.1118/1.4861819, February 2014.
Shafirstein G and Feng Y, “The Role of Mathematical Modeling in Thermal Medicine [editorial], “ Int’l J. Hyperthermia, 29(4): 259-261, June 2013.
Yunker BE, Cordes D, Scherzinger A, Dodd G, Shandas R, Feng Y, and Hunter KS, “An investigation of industrial molding compounds for use in 3D ultrasound, MRI, and CT imaging phantoms,” Med. Phys. 40 (9), May 2013.
Feng Y.and D. Fuentes, Model-based Planning and Real-Time Predictive Control for Laser-Induced Thermal Therapy, Int’l J. Hyperthermia, 27(8), 751-761, December, 2011.
Bagley R andFeng Y., “A Numerical Solution Method for Initial-Value Problems Using Harmonic Analysis and Taylor Series Approximations,” Int’l J. Appl. Math, 24(6): 841-860, 2011.
Feng, Y. and D. Fuentes, Real-Time Predictive Surgical Control for Cancer Treatment Using Laser Ablation [Life Science]. Signal Processing Magazine, IEEE, 28(3): p. 134-138, 2011.
Millwater H and Feng Y, “Probabilistic Sensitivity Analysis with Respect to Bounds of Truncated Distributions,” J. Mech. Design, 133(6), 061001,doi:10.1115/1.4003819, June 2011.
D. Fuentes, Y. Feng, A. Elliott, A. Shetty, R. J. McNichols, J. T. Oden, and R. J. Stafford. “Adaptive real-time bioheat transfer models for computer driven MR-guided laser induced thermal therapy,” IEEE Trans. BME, 57(5): 1024-1030, 2010 (Featured on the Cover Page)
M. N. Rylander, Y. Feng, K. Zimmermann, and K. R. Diller, “Measurement and Mathematical Modeling of Thermally Induced Injury and Heat Shock Protein Expression Kinetics in Normal and Cancerous Prostate Cells,” Int’l J. Hyperthermia Special Issue on Prostate Cancer Therapy,26(8): 748-764, 2010.
Fuentes D., Cardan R., Stafford R. J., Yung J., Dodd III G. D., and Feng Y. “High fidelity finite element models for pretreatment planning of RF ablation with in vitro experimental correlation,” J. Vascular and Interventional Radiology, 21(11):1725-1732, 2010.
Feng Y, Fuentes D, Hawkins A, Bass, J, Rylander MN, Optimization and real-time control for laser treatment of heterogeneous soft tissues,” Comput. Meth in Appl. Mech. Eng., 198(21-26):1742-1750, 2009.
Feng Y, Fuentes D, Hawkins A, Rylander MN, Elliott A, Stafford J, Oden J. T., “Nanoshell-Mediated Laser Surgery Simulation for Prostate Cancer Treatment,” Special Issue of Computational Bioengineering, Engineering with Computers, 25: 3-13, 2009.
Feng Y, Oden J. T, Rylander M. N, “A two-state cell damage model under hyperthermic conditions: Theory and in vitro Experiments,” J. Biomech Eng., v.130, 041016:1-10, 2008.
Kenneth R. Diller, J.Tinsley Oden, Chandrajit Bajaj, James C. Brown, John Hazle, Ivo Babuska, Jon Bass, L. Bidaut, Leszek Demkowicz, Andrew Elliot, Yusheng Feng, David Fuentes, S. Goswami, Andrea Hawkins, Sepideh Khoshnevis, B. Kwon, Serge Prudhomme, and R. Jason Stafford. Advances in Numerical Heat Transfer, volume 3: Numerical Implementation of Bioheat Models and Equations, Chapter 9: Computational Infrastructure for the Real-Time Patient Specific Treatment of Cancer. Taylor & Francis Group, 2008.
Oden JT, Diller KR, Bajaj C, Browne JC, Hazle J, Babuska I, Bass J, Demkowicz L, Elliott A, Feng Y, Fuentes D, Prudhomme S, Rylander MN, Stafford RJ, and Zhang Y, “Dynamic Data-Driven Finite Element Models for Laser Treatment of Cancer,” J Num Meth PDE, 23(4), 904-922, 2007.
Bajaj C, Oden JT, K. R. Diller KR, Browne J.C., Hazle, J, Babuška I, Bass J, Bidaut L, Demkowicz L, Elliott A, Feng Y, Fuentes D, Kwon B, Prudhomme S, Stafford RJ, and Zhang Y, “Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer, Lecture Notes in Computer Science,” Shi Y, et al (eds), 4487:972-979, 2007.
Rylander M. N., Feng Y, Bass J, and Diller KR, Heat Shock Protein Expression and Damage Optimization for Laser Therapy Design,” Lasers in Surgery and Medicine, 39:734-746, 2007
Oden JT, Diller KR, Bajaj C, Browne JC, Hazle J, Babuska I, Bass J, Demkowicz L, Feng Y, Fuentes D, Prudhomme S, Rylander MN, Stafford RJ, Zhang Y. “Development of a computational paradigm for laser treatment of cancer,” ICCS 2006, Part III, LNCS 3993, Alexandrov VN et al. (eds.), Springer-Verlag, 530-537, 2006.
Rylander M. N., Feng Y, Zhang J, Bass J, Stafford, RJ, Hazle, JD, Diller, KR. “Optimizing HSP expression induced by prostate cancer laser therapy through predictive computational models,” Journal of Biomedical Optics, 11:4, 0411131-16, 2006.
J. T. Oden, K. R. Diller, C. Bajaj, J. C. Browne, J. Hazle, I. Babuska, J. Bass, L. Demkowicz, Y. Feng, D. Fuentes, S. Prudhomme, N. Rylander, R. J. Stafford, and Y. Zhang, “Development of a Computational Paradigm for Laser Treatment of Cancer,” DDDAS, 2006.
M. N. Rylander, Y. Feng, J. Bass, and K. R. Diller, “Thermally Induced Injury and Heat-Shock Protein Expression in Cells and Tissues,” Annals of New York Academy of Science, 1066:222-242, 2005.J.T. Oden, I. Babuska, F. Nobile, Y. Feng and R. Tempone, Comput. ““Theory and methodology for estimation and control of error due to modeling, approximation and uncertainty,” Methods Appl. Mech. Engrg, Vol.194, pp193-204, 2005.
Y. Feng, M.N. Rylander, J. Bass, J.T. Oden, and K. R. Diller, “Optimal Design of Laser Surgery for Cancer Treatment Through Nanoparticle-Mediated Hyperthermia Therapy,” NSTI-Nanotech, Vol.1, pp39-42, 2005.
J.T. Oden, J.C. Browne, I. Babuska, Y. Feng, C. Bajaj, L. Demkowicz, L. Gray, J. Bass, S. Prudhomme, F. Nobile, and R. Tempone, "A Dynamic Data Driven Infrastructure for Reliable Computer Simulations", Proceedings of the Computational Science - ICCS 2004 Conference, Bubak, Van Albada, Sloot, and Dongarra (Eds.), Springer-Verlag, 2004.
J.T. Oden, J.C. Browne, I. Babuska, Y. Feng, K.M. Liechti, L. Demkowicz, J. Bass, F. Nobile, and R. Tempone, "A Computational Infrastructure For Reliable Computer Simulations," in Dynamic Data Driven Applications Systems, F. Darema (Ed.), Kluwer Academic Publishers, Netherlands, 2004.
J.T. Oden, Y. Feng, and S. Prudhomme “Local and Pollution Error Estimation for Stokesian Flows,”, Int’l J. for Numerical Methods in Fluids, vol. 27, pp. 33-39, 1998.
“Parallel Domain Decomposition Solver for Adaptive hp Finite Element Methods,” J.T. Oden, A. Patra, and Y. Feng, SIAM J. on Numerical Analysis, vol. 34, no. 5, pp. 1-29, Dec. 1997.
J.T. Oden and Y. Feng,“Local and Pollution Error Estimation for Finite Element Approximations of Elliptic Boundary Value Problems,”, J. Computational and Applied Mathematics, vol. 74, pp. 245-293, Nov. 1996.
“Parallel Adaptive hp Finite Element Methods for Fluid and Solid Mechanics,” J.T. Oden, A. Patra and Y. Feng, in Recent Developments in Finite Element Analysis, A Book Dedicated to Robert L. Taylor, Edited by T.J.R. Hughes, E. Onate, and O.C. Zienkiewicz, CIMNE, Barcelona, Spain, pp. 29-36, 1994.
“Domain Decomposition for Adaptive Finite Element Methods,” J.T. Oden, A. Patra and Y. Feng, Contemporary Mathematics, vol. 180, pp. 295-301, 1994.
“An hp Adaptive Strategy,” J. T. Oden, A. Patra and Y. Feng, in ASME Publication, Adaptive Multilevel and Hierarchical Computational Strategies, Edited by A.K. Noor, AMD vol. 157, pp. 23-46, 1993.