Linwei Wang Headshot

Linwei Wang

Professor

Department of Computing and Information Sciences Ph.D.
Golisano College of Computing and Information Sciences

585-475-4238
Office Location

Linwei Wang

Professor

Department of Computing and Information Sciences Ph.D.
Golisano College of Computing and Information Sciences

Education

BS, Zhejiang University (China); M.Phil., Hong Kong University of Science and Technology (Hong Kong); Ph.D., Rochester Institute of Technology

585-475-4238

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Areas of Expertise

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Journal Paper
Alawad, Mohammed and Linwei Wang. "Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation from 12-lead Electrocardiograms." IEEE Transactions on Medical Imaging. (2018): DOI: 10.1109/TMI.2018.2880092 [Epub ahead of print]. Web.
Dhamala, Jwala, et al. "Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo in Cardiac Electrophysiology." Medical Image Analysis 48. (2018): 43-57. Print.
Wang, Linwei, et al. "Noninvasive Epicardial and Endocardial Electrocardiographic Imaging for Scar-related Ventricular Tachycardia." Europace 20. FI2 (2018): f263-f272. Web.
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Invited Keynote/Presentation
Wang, Linwei. "Active Surrogate Modeling for Uncertainty Quantification in Personalized Models." Distinguished seminar series. University of Utah. Salt Lake City, Utah. 26 Oct. 2018. Lecture.
Wang, Linwei. "High-dimensional Bayesian Active Learning for Personalized Modeling." Western New York Image and Signal Processing Workshop. Rochester Institute of Technology. Rochester, New York. 5 Oct. 2018. Keynote Speech.
Wang, Linwei. "Active Surrogate Modeling for Uncertainty Quantification in Personalized Models." RIT Center for Imaging Science Seminar. Rochester Institute of Technology. Rochester, New York. 5 Sep. 2018. Lecture.
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Journal Editor
Wang, Linwei, ed. Frontiers in Physiology. NA: n.p., 2018. Web.
Wang, Linwei, Maria S Guillem, and Carlos Figuerra, ed. Frontiers in Physiology. : Frontiers, 2017. Web.
Wang, Linwei, Heye Zhang, and Vicky Wang, ed. Computational and Mathematical Methods in Medicine. NA: Hindawi, 2014. Web.
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Published Conference Proceedings
Dhamala, Jwala, et al. "Spatially-Adaptive Multi-Scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models." Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI). Ed. S. Ourseline., L. Joskowicz, M. Sabuncu, G. Unal and W. Wells. Athens, GREECE: Springer, 2016. Web.
Wang, Linwei, et al. "Noninvasive Electrocardiographic Imaging of Scar-related Ventricular Tachycardia." Proceedings of the Computing in Cardiology. Vancouver, Canada: IEEE, 2016. Web.
Xu, Jingjia, et al. "Robust Transmural Electrophysiological Imaging: Integrating Sparse and Dynamic Physiological Models into ECG- Based Inference,." Proceedings of the Medical Image Computing and Computer-Assisted Intervention (MICCAI),. Ed. Nassir Navab, et al. Germany, Munich: Springer, Web.
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National/International Competition Award Winner
Wang, Linwei, Thomas Hacker, and Suzane Shontz. National Science Foundation. Participant Support for the 2016 NSF CyberBridges Workshop. Rochester, NY, 2016.
Wang, Linwei, Shontz, Suzanne, and Hacker,Thomas. National Science Foundation. Participant Support for the 2015 NSF CyberBridges Workshop. Arlington, VA, 2015.
External Scholarly Fellowships/National Review Committee
6/1/2014 - 5/31/2019
     National Science Foundation
     Amount: 446143
11/12/2014 - 10/31/2016
     National Institutes of Health
     Amount: 418602
Published Article
Wang, Linwei, Heye Zhang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. “Physiological-Model-Constrained Noninvasive Reconstruction ofVolumetric Myocardial Transmembrane Potentials.” IEEE Transactions on Biomedical Engineering, 57.2 (2010): 296-315. Print. «
Wong Ken C.L., Linwei Wang, Heye Zhang, Huafeng Liu, and Pengcheng Shi. “Meshfree Implementation of Individualized Active Cardiac Dynamics.” Computerized Medical Imaging and Graphics, 34.1 (2010): 91-103. Print. «
Wang, Linwei, Ken C.L. Wong, Heye Zhang, Huafeng Liu, and Pengcheng Shi. “How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization.” Statistical Atlases and Computational Models of the Heart, 2010. 232-241. Print. "  «
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Currently Teaching

CISC-820
3 Credits
This course provides an introduction in the fundamentals of working with quantitative information. Topics include matrix algebra (matrices, vectors, direct and indirect methods for solving linear systems, eigenvectors, singular value decomposition, least-squares systems) optimization (convex analysis, gradient descent, Newton's method, interior-point methods), statistics (random variables, p-values, hypothesis testing, confidence intervals) and data exploration (clustering, dimensionality reduction, curve fitting). Note: Knowledge in probability and statistics calculus, and computer programming or permission of instructor is required.