Nathan Cahill Headshot

Nathan Cahill

Associate Professor
School of Mathematical Sciences
College of Science
Director, Mathematical Modeling Program

585-475-5144
Office Hours
Mondays 4:00 - 5:20pm Wednesdays 3:30 - 4:50pm
Office Location

Nathan Cahill

Associate Professor
School of Mathematical Sciences
College of Science
Director, Mathematical Modeling Program

Education

BS, MS, Rochester Institute of Technology; D.Phil., University of Oxford (United Kingdom)

Bio


Dr. Cahill is an RIT alumnus, earning BS and MS degrees in Applied Mathematics in 1997 and 2000, respectively. He has significant industrial experience: he started working at Eastman Kodak Company as a co-op student in 1996, and he continued working in the Kodak Research Labs and Carestream Health until 2009, eventually attaining the rank of Principal Scientist. During this period, he was awarded 26 US patents in the fields of computer vision and medical imaging analysis. From 2005-2009, while employed at Kodak/Carestream, he earned a DPhil in Engineering Science at the University of Oxford, where he made key theoretical and computational contributions in the field of medical image registration. Since joining RIT as a faculty member in 2009, he has worked with companies on Small Business Innovation Research / Technology Transfer (SBIR/STTR) grants from the National Institutes of Health and the Department of Defense, and he is a member of the SBIB IRG Small Business Study Section on Biomedical Imaging through the NIH Center for Scientific Review.

585-475-5144

Areas of Expertise

Currently Teaching

IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-799
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-891
0 Credits
Continuation of Thesis
MATH-702
3 Credits
This course covers the solutions of initial value problems and boundary value problems, spectral techniques, simulation methods, optimization and techniques employed in modern scientific computing.
MATH-606
1 Credits
The course prepares students to engage in activities necessary for independent mathematical research and introduces students to a broad range of active interdisciplinary programs related to applied mathematics.
MATH-411
3 Credits
This course covers numerical techniques for the solution of nonlinear equations, interpolation, differentiation, integration, and the solution of initial value problems.
MATH-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
STAT-498
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

Select Scholarship

Published Conference Proceedings
Katuwal, Gajendra J., et al. "The Predictive Power of Structural MRI in Autism Diagnosis." Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, August 2015. Ed. Sergio Cerutti. Milan, Italy: IEEE, Print.
Cahill, Nathan D., Selene E. Chew, and Paul S. Wenger. "Spatial-Spectral Dimensionality Reduction of Hyperspectral Imagery with Partial Knowledge of Class Labels." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. Ed. Miguel Velez-Reyes; Fred A. Kruse. Baltimore, MD: SPIE, Print.
Zhang, Xuewen, et al. "SLIC superpixels for efficient graph-based dimensionality reduction of hyperspectral imagery." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. Ed. Miguel Velez-Reyes; Fred A. Kruse. Baltimore, MD: SPIE, Print.
Dangi, Shusil, et al. "Endocardial left ventricle feature tracking and reconstruction from tri-plane trans-esophageal echocardiography data." Proceedings of the SPIE Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, February 2015. Ed. Robert J. Webster; Ziv R. Yaniv. Orlando, FL: SPIE, Print.
Hu, Yang, et al. "Classification of Hyperspectral Images Based on Conditional Random Fields." Proceedings of the SPIE Image Processing: Machine Vision Applications VIII, February 2015. Ed. Edmund Y. Lam; Kurt S. Niel. San Francisco, CA: SPIE, Print.
Piramanayagam, Sankaranarayanan, et al. "Shot Boundary Detection and Label Propagation for Spatio-Temporal Video Segmentation." Proceedings of the SPIE Image Processing: Machine Vision Applications VIII, February 2015. Ed. Edmund Y. Lam; Kurt S. Niel. San Francisco, CA: SPIE, Print.
Cahill, Nathan D. "Comparison of Lesion-centered vs Lung-centered Registration for Nodule Assessment from Lung CT Images." Proceedings of the WNYISPWS. Rochester, New York: IEEE, 2015. Print.
Cahill, Nathan D. "Schrodinger eigenmaps for semi-supervised manifold alignment of hyperspectral imagery." Proceedings of the SPIE Defense and Security 2016. Baltimore, Maryland: SPIE, 2015. Print.
Chew, Selene E. and Nathan D. Cahill. "Semi-Supervised Normalized Cuts for Image Segmentation." Proceedings of the International Conference on Computer Vision, December 2015. Ed. Ruzena Bajcsy. Santiago, Chile: IEEE, Print.
Melbourne, Andrew, et al. "Using Fractional Gradient Information in Nonrigid Image Registration: Application to Breast MRI." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print.
Sun, Shaohui, Nzola De Magalhaes, and Nathan D. Cahill. "Nearly Rigid Descriptor-Based Matching for Volume Reconstruction from Histological Sections." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print.
Harvey, Zachary G., et al. "Low Bandwidth Eye Tracker for Scanning Laser Opthalmoscopy." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print.
Cahill, Nathan D. "Motion Coherent Image Registration and Demons: Practical Handling of Deformation Boundaries." Proceedings of the SPIE Medical Imaging: Image Processing, February 2012, San Diego. Ed. David R. Haynor and Sebastien Ourselin. San Diego, CA: n.p., 2012. Print.
Phadtare, Lalit K., Raja S. Kushalnagar, and Nathan D. Cahill. "Detecting Hand-Palm Orientation and Hand Shapes for Sign Language Gesture Recognition Using 3D Images." Proceedings of the IEEE Western New York Image Processing Workshop. Rochester, NY: n.p., 2012. Print.
Karantza, Alex, Sonia Lopez Alarcon, and Nathan D. Cahill. "A Comparison of Sequential and GPU-Accelerated Implementations of B-Spline Signal Processing Operations for 2-D and 3-D Images." Proceedings of the 3rd International Conference on Image Processing Theory, Tools and Applications. Istanbul, Turkey: n.p., 2012. Print.
Chen, Bin, Anthony Vodacek, and Nathan D. Cahill. "Novel Spectral Similarity Measure for High Resolution Urban Scene." Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich, Bavaria: n.p., 2012. Print.
Keane, Tommy, et al. "Sphere2: Jerry's Rig, an OpenGL Application for Non-linear Panorama Viewing and Interaction." Proceedings of the 2012 Western New York Image Processing Workshop. Rochester, New York: n.p., 2012. Print.
Invited Keynote/Presentation
Cahill, Nathan D. "Semi-Supervised Graph-Based Methods for Image Segmentation and Classification." Norbert Wiener Center Seminar. University of Maryland College Park. College Park, MD. 10 Nov. 2015. Guest Lecture.
Cahill, Nathan D. "Clustering, Segmentation, and Classification of Image Data Using Graph-Based Models." Invited Seminar. Institute for Defense Analyses. Bowie, MD. 18 Nov. 2015. Guest Lecture.
Cahill, Nathan D. and Mehran Ebrahimi. "Image Registration in the Presence of Discontinuities." Industrial Problem-Solving Workshop on Medical Imaging. The Fields Institute and Mitacs. Toronto, Ontario. 20 Aug. 2012. Guest Lecture.
Cahill, Nathan D. "Computational Frameworks for Image Registration." Mind Research Network Seminar Series. Mind Reserach Network. Albuquerque, NM. 30 Aug. 2012. Guest Lecture.
Cahill, Nathan D. "Imaging Analysis and Computer Vision in the Center for Imaging Science at RIT." Computational Engineering and Computational Applied Sciences Seminar Series. Lawrence Livermore National Laboratory. Livermore, CA. 31 Aug. 2012. Guest Lecture.
Cahill, Nathan D. "Industrial Applications of Image Registration." SIAM Student Chapter Distinguished Speaker Series / Applied Math Colloquium Series. University of Maryland Baltimore County (UMBC) Department of Mathematics and Statistics. Baltimore, MD. 24 Feb. 2012. Guest Lecture.
Journal Paper
Ek, Bryan, et al. "A Comprehensive Comparison of Graph Theory Metrics for Social Networks." Social Network Analysis and Mining 5. 1 (2015): 1-7. Print.
Gopal, Shruti, et al. "Spatial Variance in Resting fMRI Networks of Schizophrenia Patients: An Independent Vector Analysis." Schizophrenia Bulletin 42. 1 (2015): 152-160. Print.
Chen, Bin, Anthony Vodacek, and Nathan D. Cahill. "A Novel Adaptive Scheme for Evaluating Spectral Similarity in High-resolution Urban Scenes." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6. 3 (2013): 1376-1385. Print.
Published Article
Cahill, Nathan D., J.A. Noble, and D.J. Hawkes. “Extending the Quadratic Taxonomy of Regularizers for Nonparametric Registration.” Proc. SPIE Medical Imaging: Image Processing, 7623(February 2010): 0B-1- 0B-12. Print. *
Cahill, Nathan D., J.A. Noble, and D.J. Hawkes. “Accountingfor Changing Overlap in Variational Image Registration.” Proceedings International Symposium on Biomedical Imaging, April2010: 384-387. Print. *
Cahill, Nathan D. “Normalized Measures of MutualInformation with General De nitions of Entropy for Multimodal Image Registration.”Proceedings International Workshop on Biomedical Image Registration, LNCS 6204 (July 2010): 258 - 268. Print. «
May, Brandon B., N.D. Cahill, and M.R. Rosen. “Calibration of a Multi-Projector System for Display ona Cylindrical Surface.” Proceedings IEEE Western NY Image Processing Workshop, November 2010. 6-9. Print. " É *