RESEARCH INTERESTS:

 Computer Graphics, Biomedical and Information Visualization, Medical Image Analysis, Computer Science Education, Spatial Data Structures


Computer Science Education
Linked List Using BRIDGES
Linked List Using BRIDGES
Binary Search Tree (Earthquake Data)
Binary Search Tree (Earthquake Data
Six Degrees of Separation (Bacon Number Problem)
Computing Bacon Number in graph with IMDB Actor-Movie Data
Comparing two sections of Data Structures Courses Using CS Materials System
Comparing two sections of Data Structures Courses Using CS Materials System
Description

The projects in CS education have a somewhat common focus on improving early CS education at the freshmen/sophomore levels by (1) engaging students through attractive learning materials by tying them to real-world applications as well as visual representations/outputs of their in-class work. This is the goal of the BRIDGES project. See the example BRIDGES outputs above (click on them!) of data structures resulting from routine student assignments.<p>

A second project CS Materials focuses on aligning CS instructor course materials to nationally accepted guidelines. This goes to ensuring rigor and standards in CS courses taught at different institutions.

Publications
  1. Matthew Mcquaigue, Jay Strahler, Kalpathi Subramanian, Erik Saule, Jamie Payton, “Location Based Assignments in Early CS Courses Using BRIDGES Engages Students", Proceedings of the Journal of Computing Sciences in Colleges, Nov 2022, 38(5), pp 107-116.
    [Full Paper[pdf] [BibTeX]
  2. Kalpathi Subramanian, Kiran Budhrani, “Influence of Course Design on Student Engagement and Motivation in an Online Course", Proceedings of the 51st ACM Technical Symposium on Computer Science Education (ACM SIGCSE 2020), Portland, OR, 2020, 303–308.
    [Full Paper[pdf] [BibTeX]
  3. Alec Goncharow, Anna Boekelheide, Matthew Mcquaigue, David Burlinson, Erik Saule, Kalpathi Subramanian and Jamie Payton, “Classifying Pedagogical Material to Improve Adoption of Parallel and Distributed Computing Topics", 9th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-19), May 20-24, 2019, Rio de Janeiro, Brazil.
    [Full Paper[pdf] [BibTeX]
  4. Matthew Mcquaigue, David Burlinson, Kalpathi Subramanian, Erik Saule, Jamie Payton, “Visualization, Assessment and Analytics in Data Structures Learning Modules", Proceedings of the 49th ACM Technical Symposium on Computing Science Education (SIGCSE 2018), Feb 21-24, Baltimore, MD.
    [Full Paper[pdf] [BibTeX]
  5. Cory Bart, Kalpathi Subramanian, Ruth Andersen, Nadeem Abdul Hamid, “Preparing, Visualizing, and Using Real-world Data in Introductory Courses" (SIGCSE Panel), Proceedings of the 49th ACM Technical Symposium on Computing Science Education (SIGCSE 2018), Baltimore, MD, Feb. 21-24, 2018.
    [Full Paper[pdf] [BibTeX]
  6. David Burlinson, Mihai Mehedint, Chris Grafer, Kalpathi Subramanian, Jamie Payton, Paula Goolkasian, Michael Youngblood, Robert Kosara, “BRIDGES: A System to Enable Creation of Engaging Data Structures Assignments with Real-World Data and Visualizations", Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE 2016), pages 18-23, Memphis, TN, Feb. 2016.
    [Full Paper[pdf] [BibTeX]
  7. Kalpathi Subramanian, Tom Cassen, “A Cross-Domain Visual Learning Engine for Interactive Generation of Instructional Materials", Proceedings of ACM Special Interest Group on Computer Science Education 2008(SIGCSE 2008), March 12-15, 2008, Portland, Oregon, USA.
    [Full Paper[pdf] [BibTeX]

Workshops

  1. Erik Saule, Kalpathi Subramanian, Jamie Payton, “Building Engaging Assignments for Your Class", SIGCSE 2023 Workshop, Proceedings of the 54nd ACM Technical Symposium on Computing Science Education (SIGCSE 2023), Toronto, CA, March 2023.
  2. Kalpathi Subramanian, Erik Saule, Matthew Mcquaigue, Jamie Payton, “Improving the structure and content of early CS courses with well aligned, engaging materials", Proceedings of the ACM SIGCSE Workshop, 53nd ACM Technical Symposium on Computing Science Education (SIGCSE 2022), Providence, RI, March 2022.
  3. Erik Saule, Kalpathi Subramanian, “CS Materials, A System to Assess and Align your Courses to National Standards", CCSC Central Plains (Workshop), Journal of Computer Sciences in Colleges, 2022.
  4. Kalpathi Subramanian, Jamie Payton, Matthew Mcquaigue, “Real-World Data, Interactive Games and Data Structure Visualizations in Early CS Courses Using BRIDGES", ACM SIGCSE Workshop (Remote), Proceedings of the 52nd ACM Technical Symposium on Computing Science Education (SIGCSE 2021).
  5. Erik, Saule, Kalpathi Subramanian, Matthew Mcquaigue, “Using CS Materials, A System to Align your Courses with National Standards", ACM SIGCSE Workshop (Remote), Proceedings of the 52nd ACM Technical Symposium on Computing Science Education (SIGCSE 2021) March 2021.
  6. Kalpathi Subramanian, Erik Saule, Jamie Payton, “Bringing Real-World Data, Interactive Games and Visualizations into Early CS Courses", (ACM SIGCSE Workshop), Proceedings of the 51st ACM Technical Symposium on Computing Science Education (SIGCSE 2020), Portland, OR, March. 2020.
  7. Kalpathi Subramanian, Erik Saule, Jamie Payton, “Bringing Real-World Data and Visualizations of Student-Implemented Data Structures into Sophomore CS Courses Using BRIDGES". ACM SIGCSE Workshop, Proceedings of the 50th ACM Technical Symposium on Computing Science Education (SIGCSE 2019), Minneapolis, MN, Feb. 2019.
    [Full Paper[pdf]
  8. Kalpathi Subramanian, Jamie Payton, “Increasing Student Interest in Data Structures Courses with Real-World Data and Visualizations Using BRIDGES", (ACM SIGCSE Workshop, Proceedings of the 48th ACM Technical Symposium on Computing Science Education (SIGCSE 2017), Seattle, WA, March 2017.
    [Full Paper[pdf]
Websites
  1. BRIDGES HOME
  2. CS Materials HOME
Computer Graphics/Augmented RealityR/Virtual Reality
Ray Tracing (Sphere Flake)
Ray Tracing (Sphere Flake)
Ray Tracing (Arches)
Ray Tracing (Arches)
Ray Tracing (Mountain)
Ray Tracing (Mountain)
Ray Tracing (Tree)
Ray Tracing (Tree)

Brain Slice(Original)
Brain Slice (Original)
Brain Slice(BSP Tree)
Brain Slice(BSP Tree)
Mandrill (Original)
Mandrill (Original)
Mandrill (BSP Tree)
Mandrill (BSP Tree)
Description

My interests in Computer Graphics has evolved over the years starting from realistic rendering methods (see my doctoral work on Ray Tracing related publications) into geometric modeling - see my post-doc work on binary space partitioning trees. I also continue teaching in these areas. More recently, we have some ongoing work on Augmented and Virtual Reality, studying depth perception in these environments. We expect to have publications in these areas soon.

Publications
  1. K.R. Subramanian, B.F. Naylor, “Converting Discrete Images to Partitioning Trees", IEEE Transactions on Visualization and Computer Graphics, 3(3), September 1997.
    [Full Paper(PDF)] [BibTeX]
  2. [DISSERTATION] Kalpathi Subramanian, “Adapting Search Structures to Scene Characteristics for Ray Tracing", Doctoral Dissertation, Department of Computer Science, The University of Texas at Austin, December 1990. Advisor: Donald S. Fussell [Full Dissertation[PDF]]
  3. [MS Thesis] K.R. Subramanian, “Fast Ray Tracing Using K-D Trees", Master’s thesis, Department of Computer Sciences, The University of Texas at Austin, December 1987.
  4. [Graphics Interface ’91]K.R. Subramanian, Donald S. Fussell, “Automatic Termination Criteria for Ray Tracing Hierarchies", Proceedings of Graphics Interface ’91, Calgary, Alberta, June 3-7, 1991.
    [Full Paper[pdf] [BibTeX]
  5. [IEEE Visualization 1990] K.R. Subramanian, Donald S. Fussell, “Applying Space Subdivision Techniques to Volume Rendering", Proceedings of the IEEE Visualization ’90, San Francisco, CA, October 23-26, 1990.
    [Full Paper[pdf] [BibTeX]
  6. Technical Report] K.R. Subramanian, Donald S. Fussell, “Factors Affecting Performance of Ray Tracing Hierarchies", Technical Report, The University of Texas at Austin, TR-90-21, August 1990.
    [Full Report[pdf]
  7. Technical Report] K.R. Subramanian, Donald S. Fussell, “A Cost Model for Ray Tracing Hierarchies", Technical Report, The University of Texas at Austin, TR-90-04, March 1990.
    [Full Report[pdf]
  8. T. Cassen, K.R. Subramanian, Z. Michalewicz, “Near-Optimal Construction of Partitioning Trees Using Evolutionary Techniques", Proceedings of Graphics Interface ’95, Quebec City, May 16-19, 1995.
    [Full Paper[pdf] [BibTeX]
  9. K.R. Subramanian, Bruce F. Naylor, “Representing Medical Images with Partitioning Trees", Proceedings of IEEE Visualization ’92, Boston, MA., October 19-23, 1992.
    [Full Paper[pdf] [BibTeX]
  10. Todd Eaglin, Kalpathi Subramanian, Jamie Payton, “3D Modeling by the Masses: A Mobile App for Modeling Buildings", Pervasive Computing, (PERCOM) 2013 (Demo Track), March 18-22, 2013.
    [Full Paper[pdf] [BibTeX]
Scientific and Information Visualization
Symbol Perception: Linear trends
Symbol Perception:Linear trends
Symbol Perception: Numerosity
Symbol Perception: Numerosity

UNC Charlotte Campus Evaluation Simulation Sequence
UNC Charlotte Campus Evaluation Simulation Sequence
UNC Charlotte Campus Evaluation Simulation Sequence
UNC Charlotte Campus Evaluation Simulation Sequence
UNC Charlotte Campus Evaluation Simulation Sequence
UNC Charlotte Campus Evaluation Simulation Sequence

File System Visualization
File System Visualization
Description

My interests in these areas grew out of the focus on medical imaging, This included works in more general datasets (file systems, wireless networks), typically classified as information visualization and the long running work on situational awareness in building evacuation models (see figurs above that was part of a evacuation scenario conducted with the UNC Charlotte Police Department for our campus). More recent work has focused on theoretical aspects of information visualization, understanding perception of symbols in information visualization, that formed the basis of my student’s (David Burlinson) dissertaion work.

Publications
  1. David Burlinson, Kalpathi Subramanian, Paula Goolkasian, “Open vs. Closed Shapes: New Perceptual Categories?", IEEE Transactions of Visualization and Computer Graphics, 24(1), January 2018.
    [Full Paper[pdf] [BibTeX]
  2. Jack Guest, Todd Eaglin, Kalpathi Subramanian, William Ribarsky “Interactive analysis and Visualization of Situationally Aware Building Evacuations ", Information Visualization, 14(3), July 2015.
    [FullPaper(PDF)] [BibTeX]
  3. [Best Student Paper] Jack Guest, Todd Eaglin, Kalpathi Subramanian, William Ribarsky, “Visual Analysis of Situationally Aware Building Evacuations", SPIE Conference on Visualization and Data Analysis 2013(VDA 2013), IS&T/SPIE Electronic Imaging, Feb. 4-6, 2013, San Francisco, CA.
    [Full Paper[pdf] [BibTeX]
  4. T.A. Dahlberg, K.R. Subramanian, “Visualization of Mobile Network Simulations", Simulation, The Society for Computer Simulation and Modeling, Vol 77(3-4), pp. 128-140,Sept/Oct. 2001.
    [Full Paper(PDF)] [BibTeX]
  5. David Burlinson, Kara Koehrn, Kalpathi Subramanian, Aidong Lu, “Are Environmental Regulations Working? A Visual Analytic Approach To Answering Their Impact on Toxic Emissions", Workshop on Visualization in Environmental Sciences(EnvirVis) 2016, (Part of EuroVis 2016), June 6-10, 2016, Groningen, the Netherlands.
    [Full Paper[pdf] [BibTeX]
  6. David Burlinson, Kalpathi Subramanian, Aidong Lu, “TRI-DIRECT: Interactive visual analysis of TRI data", Proceedings of Visualization and Data Analysis (VDA) 2016 (Partof IS&T Electronic Imaging 2016, Feb 16-18, 2016, San Francisco, CA.
    [Full Paper[pdf] [BibTeX]
  7. Alex Midgett, Jack Guest, Kalpathi Subramanian, “VAST 2011 MiniChallenge: UNCC Viral Tracker", Proceedings of IEEE VAST 2011, Oct 16-21, 2011, Providence, RI.
    [Full Paper[pdf]
  8. Jianfei Liu, Kyle Lyons, Kalpathi Subramanian, William Ribarsky, “Semi-Automated Processing and Routing Within Indoor Structures For Emergency Response Applications", Proceedings of SPIE Defense, Security+Sensing, 5-9 April, 2010, Orlando, FL.
    [Full Paper[pdf] [BibTeX]
  9. Joshua Foster, Kalpathi Subramanian, Gail-Joon Ahn, “Interactive Exploration of Large Filesystems", SPIE Proceedings of Visualization and Data Analysis, Volume 5669, 2005 (Poster), Feb. 17-22, 2005, San Jose, CA.
    [Full Paper[pdf] [BibTeX]
  10. B. Muralikrishnan, J. Raja, K.R. Subramanian, “A 3D Visualization Tool for surface metrology", Proceedings of the Second National Conference in Precision Engineering, COPEN 2002, Jan. 11-13, 2002, Coimbatore, India.
    [Full Paper[pdf] [BibTeX]
  11. K.R. Subramanian, D.M. Lawrence, M.T. Mostafavi, “Interactive Segmentation and Analysis of Fetal Ultrasound Images", 8’th Eurographics Workshop on Visualization in Scientific Computing, Boulogne sur Mer, France, April 28-30, 1997.
    [Full Paper[pdf] [BibTeX]
Computer Vision/Image Processing
Optical Colonosopy Tracking - Two consecutive sequences (Movie)
Optical Flow
Temporal Volume Flow - Tracking Failure Recovery (Movie)
Temporal Volume Flow - Tracking Failure Recovery (Movie)

Tumor Segmentation Using Implicit Representation
Tumor Segmentation Using Implicit Representation
Corpus Callosum Segmentation Using Implicit Representation
Corpus Callosum Segmentation Using Implicit Representation
Car Tracking Using Implicit Representation
Car Tracking Using Implicit Representation
Description

My interests and work in this area includes the extensive work of my doctoral student on colonoscopy tracking, i.e., tracking optical and virtual colonoscopy videos; the work significantly improved the state of the art (which was a few 100 frames) to several thousands of frames of the sequence. The other work involved representing active contours using an implicit surface representation.

Publications
  1. Jianfei Liu, “From Pixel To Region To Temporal Volume: A Robust Motion Processing Framework For Visually-Guided Navigation", PhD Dissertation, The University of North Carolina at Charlotte, 2011, Advisors: Kalpathi Subramanian, Terry Yoo.
    [Full Dissertation[PDF]]
  2. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “A Robust Method to Track Colonoscopy Videos with Non-Informative Images", International Journal of Computer-Assisted Radiology and Surgery (IJCARS), 8(3), July 2013.
    [FullPaper(PDF)] [BibTeX]
  3. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “An Optical Flow Approach to Tracking Colonoscopy Video", Computerized Medical Imaging and Graphics, Vol. 37(3), pp. 207-223, March 2013.
    [FullPaper(PDF)] [BibTeX]
  4. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “Temporal Volume Flow: An Approach to Tracking Failure Recovery", Proceedings of SPIE Medical Imaging 2011, Feb. 12-17, 2011, Orlando, FL.
    [Full Paper[pdf] [BibTeX]
  5. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “Region Flow: A Multi-Stage Method for Colonoscopy Tracking", Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2010, Sept. 20-24, 2010, Beijing, China. Lecture Notes in Computer Science(LNCS) 6362, Springer.
    [Full Paper[pdf] [BibTeX]
  6. Jianfei Liu, Kyle Lyons, Kalpathi Subramanian, William Ribarsky, “Semi-Automated Processing and Routing Within Indoor Structures For Emergency Response Applications", Proceedings of SPIE Defense, Security+Sensing, 5-9 April, 2010, Orlando, FL.
    [Full Paper[pdf] [BibTeX]
  7. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “Accurate Motion Parameter Estimation for Colonoscopy Tracking Using a Regression Method", Proceedings of SPIE Medical Imaging 2010, Vol. 7624, 13-18 February, 2010, San Diego, CA.
    [Full Paper[pdf] [BibTeX]
  8. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, Robert Van Uitert, “A Stable Optic-Flow Based Method for Tracking Colonoscopy Images", Proceedings of Mathematical Methods in Biomedical Image Analysis (MMBIA) 2008, June 27-28, Anchorage, Alaska.
    [Full Paper[pdf] [BibTeX]
  9. Jianfei Liu, Kalpathi R. Subramanian, Terry S. Yoo, “Towards Designing An Optical-flow Based Colonoscopy Tracking Algorithm: A Comparative Study", Proceedings of SPIE Medical Imaging 2013, Feb. 9-14, Orlando, CA.
    [Full Paper[pdf] [BibTeX]
  10. Jianfei Liu, Kalpathi Subramanian, Terry Yoo, “A Phantom Design for Validating Colonoscopy Tracking", Proceedings of SPIE Medical Imaging 2012, Feb. 4-9, 2012, San Diego, CA.
    [Full Paper[pdf] [BibTeX]
  11. Bryan S. Morse, Weiming Liu, Terry S. Yoo, Kalpathi Subramanian, “Active Contours Using a Constraint-Based Implicit Representation", Proceedings of Internation Conference on Computer Vision and Pattern Recognition (CVPR), June 20-25, San Diego, CA., IEEE Computer Society Press, June 2005.
    [Full Paper[pdf] [BibTeX]
  12. B.S. Morse, T.S. Yoo, P. Rheingans, D.T. Chen, K.R. Subramanian, “Interpolating Implicit Surfaces From Scattered Surface Data Using Compactly Supported Radial Basis Functions", Proceedings of Shape Modeling International (SMI) 2001, , May 7-11, 2001, Genova, Italy.
    [Full Paper[pdf] [BibTeX]
  13. T.S. Yoo, B. Morse, K.R. Subramanian, P. Rheingans, M.J. Ackerman, “Anatomic Modeling from Unstructured Samples Using Variational Implicit Surfaces", Proceedings of Medicine Meets Virtual Reality (MMVR 2001), Jan 24-27, 2001, Newport Beach, CA.,
    [Full Paper[pdf] [BibTeX]
  14. T.S. Yoo, K.R. Subramanian, “Implicit Snakes: Active Constrained Implicit Surfaces", Medical Image Computing and Computer-Assisted Intervention (MICCAI2001), October 14-17, 2001, Utrecht, Netherlands.
    [Full Paper[pdf] [BibTeX]
Biomedical Visualization
3D Bovine Artery Reconstruction (IVUS + Biplan Angio)
3D Bovine Artery Reconstruction (IVUS + Biplan Angio)
3D Dog Artery Reconstruction (IVUS + Biplan Angio)
3D Dog Artery Reconstruction (IVUS + Biplan Angio)
Golgi Tendon Reflex Sequence
Golgi Tendon Reflex Sequence
Ductal Cancer (MRI)
Ductal Cancer (MRI)
Description

My interests in bioimedical visualization began as the last part of my dissertation work, working with scientists at the University of Texas Supercomputing Center, assisting them in visualizing their bioimedical data sets (MRI, CT) and led to our publication in the first IEEE Visualization conference. This followed work intravascular ultrasound, functional MRI (fMRI). A long collaboration on looking at spinal cord neuron simulations also led to a lot of published work. Currently, we are working on newer imaging technologies for targeting diseases such as Cancer, Alzheimers. The goals are still the same: build sophisticated methods to segment, register and visualize both anatomical and functional data for diagnosis and treatment.

Publications
  1. K.R. Subramanian, D.P. Bashor, P. Okey, M.T. Miller, "NVIZ: An Integrated Environment for Simulation, Visualization and Analysis of Spinal Neuronal Dynamics", Journal of Imaging Science and Technology, Society for Imaging Science and Technology, Volume 49(5), September/October 2005.
    [FullPaper(PDF)] [BibTeX]
  2. K.R. Subramanian, D.P. Bashor, W.V. Hasty, S.M. Merkel, “Multi-Level Visualization of Spinal Reflex Circuit Simulations", IEEE Computer Graphics and Applications, Vol. 17(3), May/June 1997.
    [Full Paper(PDF)] [BibTeX]
  3. K.R. Subramanian, J.P. Brockway, W.Carruthers, "Interactive Detection and Visualization of Breast Lesions Using Dynamic Contrast Enhanced(DCE) MRI Volumes", Computerized Medical Imaging and Graphics, Volume 28, Issue 8, 2004, Elsevier.
    [FullPaper(PDF)] [BibTeX]
  4. B. Carruthers, K.R. Subramanian, J.P. Brockway, “Interactive Detection, Evaluation and Classification of Breast Lesions from 4D MRI Using Direct Volume Visualization", Abstract, 2003 Southern Biomedical Engineering (SBME) Conference September 26-28, 2003, Charlotte, NC.
    SBME 2003
  5. K.R. Subramanian, J.P. Brockway, “Interactive Exploration of fMRI Images within anatomical MRI Volume Reconstruction", HBM 2000, 6th Annual Meeting of the Organization for Human Brain Mapping, June 12-16, 2000 San Antonio, Texas, USA.
    HBM 2000
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