Pengcheng Shi Headshot

Pengcheng Shi

Associate Dean for Research and Scholarship/PhD Program Director

Department of Computing and Information Sciences Ph.D.
Golisano College of Computing and Information Sciences
spcast@rit.edu
585-475-6147
Office Location
LAC-1067

Pengcheng Shi

Associate Dean for Research and Scholarship/PhD Program Director

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

Education

BS, Shanghai Jiao Tong University (China); MS, M.Phil., Ph.D., Yale University

spcast@rit.edu
585-475-6147
Areas of Expertise
Artificial Intelligence
Bioinformatics
Data Science
Data Management & Analytics
Health Informatics
Education Research
Security and Privacy

Select Scholarship

Journal Paper
Hu, Zhenghui, et al. "Influence of Resting Venous Blood Volume Fraction on Dynamic Causal Modeling and System Identifiability." Scientific Reports 6. (2016): doi:10.1038/srep29426. Web.
Guo, Xuan, et al. "Intelligent Medical Image Grouping Through Interactive Learning." International Journal of Data Science and Analytics 2. 3 (2016): 95-105. Print.
Li, Rui, et al. "Modeling Eye Movement Patterns to Characterize Perceptual Skill in Image-based Diagnostic Reasoning Processes." Computer Vision and Image Understanding 151. (2016): 138-152. Print.
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Published Conference Proceedings
Guo, Xuan, et al. "An Expert-in-the-loop Paradigm for Learning Medical Image Grouping." Proceedings of the PAKDD 2016: Advances in Knowledge Discovery and Data Mining. Ed. J. Bailey, et al. Auckland, New Zealand: Springer, 2016. Print.
Guo, X., et al. "Infusing Perceptual Expertise and Domain Knowledge into a Human-centered Image Retrieval System: A Prototype Application." Proceedings of the Eye Tracking Research and Applications (ETRA), Safety Harbour, Florida, March, 2014. Ed. P. Qvarfordt and D. W. Hansen. New York, NY: ACM, 2014. Print.
Vaidyanathan, P., et al. "Recurrence Quantification Analysis Reveals Eye-movement Behavior Differences Between Experts and Novices." Proceedings of the Eye Tracking Research and Applications (ETRA), Safety Harbour, Florida, March, 2014. Ed. P. Qvarfordt and D. W. Hansen. New York, NY: ACM, 2014. Print.
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Journal Editor
Ayache, Nichlos, James Duncan, and et al, ed. Medical Image Analysis. Maryland Heights, MO 63043: Elsevier, 2016. Print.
Shi, Pengcheng and et al, ed. Computational and Mathematical Methods in Medicine. New York: Hindawi, 2016. Web.
Dí­az-Herrera, Jorge L. and et al, ed. Journal of Applied Sciences and Arts. Carbondale, IL: jASA, 2016. Print.
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Book Chapter
Gao, Fei and Pengcheng Shi. "Computational Methods for Molecular Imaging." Computational Methods for Molecular Imaging. Ed. Fei Gao, Kuangyu Shi, and Shuo Li. Cham, Switzerland: Springer, 2015. 3014. Print.
Xu, Jingjia, et al. "Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging." Computational Methods for Molecular Imaging. Ed. Fei Gao, Kuangyu Shi, and Shuo Li. Cham, Switzerland: Springer, 2015. 71-79. Print.
Invited Keynote/Presentation
Shi, Pengcheng. "Tutorials on Analysis and Applications of Molecular Imaging." Medical Image Computing and Computer Assisted Intervention. MICCAI. Nagoya, JP. 22 Sep. 2013. Keynote Speech.
Shi, Pengcheng. "Towards Integrated Personalization of Cardiac Electromechanics." IEEE International Symposium on Biomedical Imaging: Nano to Macro. IEEE. Barcelona, Spain. 5 May 2012. Lecture.
Shi, Pengcheng and Fei Gao. "Computational Image Analysis in Molecular Imaging." Modeling and Analysis of Molecular Imaging. MICCAI. Nice, France. 5 Oct. 2012. Lecture.
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Published Article
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. "  É  *
Wang, Linwei, Heye Zhang, Ken C.L. Wong, Huafeng Liu, and Pengcheng Shi. “Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials.” IEEE Transactions on BiomedicalEngineering, 57.2 (2010): 296-315. Print."  *
Shen, Yunxia, Huafeng Liu, and Pengcheng Shi. “Limited View PET Reconstruction of Tissue Radioactivity Maps.” Computerized Medical Imaging and Graphics, 34.2 (2010): 142-148. Print. É  *
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Currently Teaching

CISC-810
Research Foundations
3 Credits
This course provides students with the theoretical background and practical experience with a variety of research techniques and methods. The course provides an overview of the research process along with opportunities for hands-on projects. Major topics for the course include: formulating research questions, conducting literature reviews, selecting appropriate methodologies, data sampling, analyzing statistics, qualitative techniques, technical writing research papers, and presentation skills. (Knowledge in probability and statistics, or permission of instructor)
CISC-890
Dissertation and Research
1 - 32 Credits
Students will perform use-inspired original research in the interaction, informatics, and infrastructure areas of computing and information sciences applied to specific domain(s). Students will receive guidance from their advisor(s) in choosing an appropriate topic and activity. Note: Permission of the Ph.D. Director is required.
CISC-896
Colloquium in Computing and Information Sciences
0 Credits
This course develops the student's knowledge and understanding of various contemporary research issues, especially in the interdisciplinary areas of computing and information sciences. The student will get involved by attending a number of research presentations and discussions. The choice of topics considered may vary and will be determined by the instructor.
CISC-897
PHD Research Co-op
0 Credits
This course provides an opportunity for PhD students to complete a formal internship in a business, industry, government, educational, or research setting. The internship provides students with the opportunity to gain familiarity with practical research problems and methods. Students gain experience working in collaborative research teams with a variety of researchers, focusing on problems of multiple scales, using techniques that go beyond those available at RIT. Note: Completion of Research Potential Assessment and adviser approval; permission of the Ph.D. Director are required.
CISC-899
Independent Study
1 - 6 Credits
PhD students will work with supervising faculty on a project or research study of mutual interest. The design and evaluation will be determined through discussion with the supervising faculty and documented through completion of an independent study form. The independent study must be approved by the PhD Director. Note: Permission of the instructor and PhD Director is required.

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