| | | Publications | | Disclaimer: All PDF files on this website are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | | Book Chapter:
3. V. Chandola, J. Schryver, and
S.R. Sukumar,
“Fraud Detection in Healthcare”, in Health Data Analytics, (eds.) Charu
C. Agarwal, and Chandan Reddy, CRC Press, ISBN 9781482232110, June 2015
(Link).
2. S.R.
Sukumar, A.F. Koschan, and M.A. Abidi, "3D Imaging for Mapping
and Inspection Applications in Outdoor Environments", in Depth Map
and 3D Imaging Applications: Algorithms and Technologies,(eds.)
Aamir Saeed Malik, Tae-Sun Choi and Humaira Nisar, IGI-Global, 2010 ( Link).
1. S.R. Sukumar, D. L. Page, A. Koschan, and M.A. Abidi, "Under Vehicle Inspection with 3D Imaging-Safety and Security for Check-Point and Gate-Entry Inspections," in 3D Imaging for Safety and Security, Springer, Dordrecht, The Netherlands, pp. 249-278, June 2007. (Link) | |
Journals:
7. S.M. Lee, S.R. Sukumar,
S. Hong and S.-H. Lim, “Enabling Graph Mining in RDF Triplestores
using SPARQL for Holistic Graph-Analysis”, Expert
System and Applications, Vol. 48, pp. 9-25, 2016. (Link)
6. S.R. Sukumar, N.
Ramachandran and R. K. Ferrell, “Quality of Big Data in Healthcare
“, International Journal of Healthcare Quality Assurance, Vol. 28,
Issue 6, pp. 621-634, 2015. (Link)
5.
S. R. Sukumar and R. K. Ferrell, “Collaboration When Working
With Big Data: Recording and Sharing Analytical Knowledge Within And
Across Enterprise Data Sources”, Information Services and Use, Vol.
33(3), pp. 257-270. 2013. (Featured Article in the Informed
Librarian in May 2014). (Link)
4. S. R. Sukumar, P. Govindasamy, A. F. Koschan, D. L. Page, M.A. Abidi, "Image-based thermal modeling and reverse engineering of as-built automotive components - a case study", Virtual and Physical Prototyping, Vol. 5, No. 1, pp. 1-12, March 2010
(Link). 3. S.-J. Yu, S.R. Sukumar, A. Koschan, D. L. Page, and M.A. Abidi, "3D reconstruction of road surface using an integrated multi-sensory approach," Optics and Lasers in Engineering, Vol. 45, No. 7, pp. 808-818, 2007.(PDF) 2. B. Grinstead, S. R. Sukumar, D. L. Page, A. F. Koschan, and M. A. Abidi, D. Gorsich, "Mobile scanning system for the fast digitization of existing roadways and structures", Sensor Review Journal, Vol. 26, No. 4, pp. 283-289, 2006. (PDF) 1. S. R. Sukumar, D .L. Page, A. V. Gribok, A. F. Koschan, M.A. Abidi, D. J. Gorsich, and G. R. Gerhart, "A Robotic 3D Imaging System for Under Vehicle Inspection," Journal of Electronic Imaging, Vol. 15, No. 3, 033008, 2006. (PDF) | | Refereed Technical Conferences:
2015
40. S.R. Sukumar, “Open
Research Challenges with Big Data - A Data-Scientists Perspective”, in
the Proc. the IEEE International Conference on Big Data, pp. 1270-1278,
2015.
39. L.-S Tsay, S. R. Sukumar, Larry Roberts, “Scalable
Association Rule Mining with Predicates on Semantic Representations of
Data”, in the Proc. of the Technology Application of Artificial
Intelligence, 2015.
38. R. Singh, J. Graves, S. Lee, S.R. Sukumar, and M. Shankar,
“Enabling Graph Appliance for Genomics Assembly”, in the Proc. of the
Workshop on Mining Big Data to Improve Clinical Effectiveness in
conjunction with the IEEE Conference on Big Data, pp. 2371-2378, pp.
2015.
37. K. Senter, S. R. Sukumar, R. M. Patton and E. Chaum, “Using
Clinical Data, Hypothesis Generation Tools and PubMed Trends to Discover
the Association between Diabetic Retinopathy and Antihypertensive
Drugs”, in the Proc. of the Workshop on Mining Big Data to Improve
Clinical Effectiveness in conjunction with the IEEE Conference on Big
Data, pp. 2366-2370, 2015.
36. S. R. Sukumar, N.A.
Bond, K.C. Ainsworth, T.C. Brown, L. Roberts and S. Lee, “EAGLE: An App
Store for Urika-GD”, in the Proc. of the Cray User Group Conference,
2015. (Link)
35. S. Hong, S.-H. Lim, S. Lee, S.R. Sukumar, R. R. Vatsavai,
“Benchmarking High Performance Graph Analysis Systems with Graph Mining
and Pattern Matching Workloads”, in the Proc. of ACM/IEEE International
Conference for High Performance Computing, Networking, Storage and
Analysis (Super Computing), 2015 (Accepted as poster). (Link)
34. S. M. Lee, S.R. Sukumar
and S- H. Lim, ”Graph mining meets the Semantic Web”, in the Proc. of
the Workshop on Data Engineering meets the Semantic Web in conjunction
with International Conference on Data Engineering, Korea, 2015. (Link)
33. S- H. Lim, S.M. Lee, G. Ganesh,
T.C. Brown and S.R. Sukumar, “Graph processing platforms at
scale: practices and experiences, in Proc. of the IEEE International
Symposium on Performance Analysis of Systems and Software, pp. 42-51,
2015. (Link)
2014
32. S.R. Sukumar,
“Data-driven Discovery: Challenges at Scale”, in the Proc. of the Big
Data Analytics: Challenges and Opportunities Workshop in conjunction
with ACM/IEEE International Conference for High Performance Computing,
Networking, Storage and Analysis (Super Computing) , November 2014.
31. S. Powers and S.R. Sukumar,”Defining ‘normal’: metrics for mining heterogeneous graphs at large
scales”, in the Proceedings of the INFORMS Workshop in Data
Analysis, 2014.
30. G. S. Thakur, M. M. Olama, A. W.
McNair, S.R. Sukumar and S. Studham, “Towards Adaptive Education
Assessments: Predicting Student Performance using Temporal Stability and
Data Analytics in Learning Management Systems”, in the Proc. of ACM-KDD
Workshop on Data mining for Educational Assessment and Feedback. (Link)
29. S. R. Sukumar, “Machine Learning in the Big Data era: Are we
there yet?” in the Proc. of the ACM-KDD Workshop on Data Science for the
Social Good. (KDD at Bloomberg – Accessed 9/25/2014 -
PDF).
28. S. R. Sukumar and M. Shankar, “Data Science for Social
Policy: Of the people, for the people, by the people 2.0?” in the Proc.
of the ACM-KDD Workshop on Data Science for the Social Good. (KDD at
Bloomberg – Accessed 9/25/2014 -
PDF)
27. S.R. Sukumar, K. C.
Ainsworth and T.C. Brown. “Semantic Pattern Analysis for Verbal Fluency
based Assessment of Neurological Disorders“, in the Proc. of
the IEEE ORNL Biomedical Sciences and Engineering Conference, May 2014
(doi: 10.1109/BSEC.2014.6867746).
26. M.M. Olama, , G. Thakur, A.W.
McNair, and S.R. Sukumar. "Predicting student success using
analytics in course learning management systems." In SPIE Sensing
Technology+ Applications, pp. 91220M-91220M. International Society for
Optics and Photonics, 2014.
25. M.M. Olama, A.W. McNair,
S.R. Sukumar, and J. J. Nutaro. "A qualitative
readiness-requirements assessment model for enterprise big-data
infrastructure investment." In SPIE Sensing Technology+ Applications,
pp. 91220E-91220E. International Society for Optics and Photonics, April
2014.
24. S. R. Sukumar and K. C.
Ainsworth. “Pattern search in multi-structure data: a framework for the
next-generation evidence-based medicine. “ In the Proc. of the SPIE
Medical Imaging: PACS and Imaging Informatics: Next generation and
innovation, pp. 90390O-90390O, February 2014.
2013
23. S.R. Sukumar and N.
Bond, “Mining Heterogeneous Graphs using Cray’s Urika”, in the Proc. of
the ORNL Computational Data Analytics Workshop, October 2013.
22. V. Chandola, S.R. Sukumar
and J. Schryver, “Knowledge Discovery from Massive Healthcare Claims
Data,” in the Proc. of the 19th ACM SIGKDD Conference on Knowledge
Discovery and Data Mining, pp. 1312-1320, 2013. (Acceptance Ratio: 17.4%).
21. S. R. Sukumar and F.
Aline,
"Application of Micro-Segmentation Algorithms to the Healthcare
Market: A Case Study", to appear in the Proc. of the IEEE ORNL
Biomedical Science and Engineering Conference, 2013.
20. S. R. Sukumar, M. M.
Olama and J. J. Nutaro, "Concept of Operations for Discovery from ‘Big
Data’ Across Enterprise Data Warehouses", to appear in the Proc. of the
Next-Generation Analyst: SPIE Defense, Security and Sensing Symposium,
2013.
2012
19. S.
R. Sukumar
and J. J. Nutaro,
"Agent-Based vs. Equation-Based Epidemiological Models: A Model
Selection Case Study", accepted to the Proc. of Workshop on
Verification and Validation of Epidemiological Models/ASE International
Conference on Biomedical Computing, 2012.
2011
18. M.M.
Olama,
G. O. Allgood,
P.T. Kuruganti,
S.
R. Sukumar,
S.M. Djouadi and J.E. Lake,
"Steam distribution and energy delivery optimization using wireless
sensors", in the Proc. of SPIE Defense, Security, and Sensing,
802408-802408-11, 2011 (PDF).
2010
17. S.
R. Sukumar,
M. M. Olama, M. Shankar, S. Hadley, J. J. Nutaro, V. Protopopescu, S.
Malinchik, and B. Ives, “Modeling Resource, Infrastructure, and Policy
Cost Layers for Optimizing Renewable Energy Investment and Deployment,”
in the Proc. of the IEEE
Conference on Innovative Technologies for an Efficient and Reliable
Electricity Supply (ITERES),
pp. 151-158, 2010.(PDF)
16. S.
R. Sukumar,
M. Shankar, M.M. Olama, J. J. Nutaro and S. Malinchik, and B. Ives, “A
Methodology to Consider Electrical Infrastructure and Real-Time
Power-Flow Impact Costs Together in Planning Large-Scale Renewable
Energy Farms,” in the Proc. of the IEEE
Energy Conversion Congress and Exposition (ECCE),
pp. 674-678, 2010.(PDF)
15. S.
R. Sukumar,
M. Shankar, M.M. Olama, S. Hadley, V. Protopopescu, S. Malinchik, and B.
Ives, “Quantifying State-Policy Incentives for the Renewable Energy
Investor,” in the Proc. of the IEEE
Energy Conversion Congress and Exposition (ECCE),
pp. 386-391, 2010.(PDF)
14. S.
R. Sukumar and
M. Shankar, Value-of-information based middleware for autonomic querying
of distributed sensor databases, Proc. SPIE 7709, 77090P,
DOI:10.1117/12.851685, 2010.(PDF)
2008
13. S.
R. Sukumar, H. Bozdogan, D. L. Page, A. F. Koschan, and M. A. Abidi,
"Uncertainty Minimization in Multi-sensor Localization Systems Using
Model Selection Theory", in the
Proc. of the IEEE International Conference on Pattern
Recognition (ICPR),
Tampa, FL, pp. 1-4, December 2008 (PDF).
(Accepted as Oral)
12 . S.
R. Sukumar, H. Bozdogan, D. L. Page, A. F. Koschan, and M. A. Abidi,
"Learning structurally discriminant features in 3D faces," in
the Proc. IEEE International Conference on Image Processing (ICIP),
San Diego, California, pp. 1912-1915, October 2008. (PDF)
11. S.
R. Sukumar, H. Bozdogan, D. L. Page, A. F. Koschan, and M. A. Abidi,
"On Handling Uncertainty in the Fundamental Matrix for Scene and Motion
Adaptive Pose Recovery," in
the Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Anchorage, June 2008 (PDF).
(Acceptance rate: 27.9%)
10. S.
R. Sukumar, D. L. Page, A. F. Koschan, and M. A. Abidi, "Towards
understanding what makes objects appear simple or complex," in
the Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition,
Perceptual Organization Workshop (POCV-CVPR), Anchorage, June 2008.
(PDF)
2007
9. S.
R. Sukumar, D. L. Page, H. Bozdogan, A. F. Koschan, and M. A. Abidi,
"MuFeSaC: Learning when to use which feature detector ," in
the Proc. of the IEEE International Conference on Image Processing, (ICIP), Vol.
VI, pp. 149-152, San Antonio, September 2007. (PDF) (Accepted
as Oral)
8. S.
R. Sukumar, H. Bozdogan, D. L. Page, A. F. Koschan, and M. A. Abidi,
"Sensor selection using information complexity for multi-sensor mobile
robot localization," in
the Proc. of the IEEE International Conference on Robotics and
Automation (ICRA), Roma, Italy, pp.
4158-4163, April 2007. (PDF) (Accepted
as Oral)
7.
Y. Yao, S. R. Sukumar,
B. Abidi, D. Page, A. Koschan, M.A. Abidi, "Automated scene specific
selection of feature detectors for 3D face reconstruction", in
the Proc. of the 3rd
International Symposium on Visual Computing, Lake
Tahoe, November 2007, Proceedings
also appears in Lecture Notes in Computer Science, Advances in Visual
Computing, Vol. 4841, pp.
476-487, 2007. (PDF) (Accepted
as Oral)
2006
6. S.
R. Sukumar, D. L. Page, A. V. Gribok, A. F. Koschan, and M. A. Abidi,
"Shape measure for identifying perceptually informative parts of 3D
objects," in the Proc. of
the IEEE 3rd International Symposium on 3D Data Processing,
Visualization and Transmission (3DPVT), pp. 679-686, Chapel
Hill, North Carolina, June 2006. (PDF)
5. S.
R. Sukumar, S. Yu, D. L. Page, A. F. Koschan, and M. A. Abidi,
"Multi-sensor integration for unmanned terrain modeling", SPIE Defense
and Security Symposium UGV Technology VIII, in
the Proc. of the SPIE Perception for Unmanned Systems Technology VIII,
Vol. 6230, Orlando, Florida, pp. 65-74, April 2006. (PDF)
4 A. F. Koschan, V. P. Govindasamy, S.
R. Sukumar, D. Page, M. Abidi, and D. Gorsich, "Thermal Modeling and
Imaging of As-built Vehicle Components," in Military
Vehicles, Proceedings of the SAE 2006 World Congress, SAE SP-2040,
Detroit, MI, SAE Technical Paper 2006-01-1167, April 2006. ( PDF)
2005
3. S.
R. Sukumar, D. L. Page, A. V. Gribok, A. F. Koschan, M. Abidi, D.
Gorsich, and G. Gerhart, "Surface Shape Description of 3D data from
Under-vehicle Inspection Robot," in
the Proc. of SPIE Unmanned Ground Vehicle Technology VII, Vol.
5804, Orlando, FL, USA, pp. 621-629, March 2005. ( PDF )
2. S.
R. Sukumar, D. L. Page, A. V. Gribok, A. F. Koschan, and M. A. Abidi,
"Intelligent 3D sensing for robotic inspection of hazardous
facilities", Transactions
of the American Nuclear Society, Vol. 92., San Diego CA, USA, pp.
54-55, June 2005. ( PDF )
(Read review from Nuclear
News Magazine)
2003
1.
D. L. Page, A. F. Koschan, S.
R. Sukumar, B. R. Abidi, and M. A. Abidi, "Shape analysis algorithm
based on information theory," in
the Proc. of the IEEE International Conference on Image Processing (ICIP),
Vol. I, pp. 229-232, September 2003. ( PDF )
| |
Technical
Reports:
7. S.R. Sukumar, and C.
Del-Castillo-Negrete, “Machine Learning for Big Data: A Study to
Understand Limits of Performance at Scale“, ORNL Tech Report, TM/2015/344,
December 2015.
6. S. Hong, S. Lee, and S-H.
Lim, S.R. Sukumar, and R.R. Vatsavai., “Optimizing Graph
Operations on Linked Data“, ORNL Tech Report, TM/2015/342, July
2015.
5. S.R. Sukumar, N.
Ramachandran and R.K. Ferrell, “Data Quality Challenges in
Healthcare Claims Data: Experiences and Remedies“, ORNL Tech Report,
TM/2014/147, April 2014.
4. S.R. Sukumar, J.E. Lake, J. C. Schryver, R.K. Ferrell, A.
Sexton, R. Patton, “10-states Provider Enrollment Assessment
Methodologies “, ORNL Tech Report, TM/2013/335, January 2013.
3. V. Chandola, S. R. Sukumar, J. Schryver, “Big Data
Analytics on Healthcare Claims Data”, ORNL Tech Report, TM-2013/83,
May 2013.
2. M. M. Olama, G. O. Allgood, T. P. Kuruganti, S. R. Sukumar,
H. K. Woodworth, J. E. Lake, “Wireless Sensing, Monitoring and
Optimization for Campus-Wide Steam Distribution”, ORNL Tech Report,
TM-2011/441, January 2012.
1. S. R. Sukumar and M. Shankar, “Understanding
outage-activity in the Eastern Interconnect of the U.S Electric
Grid”, ORNL Tech Report/TM-2009/226, May 2011.
| | Thesis
and Dissertations: S. R. Sukumar, "Uncertainty
Minimization in Robotic 3D Mapping Systems Operating in Dynamic
Large-Scale Environments", PhD Dissertation, University of Tennessee Digital Library Archive, Knoxville, 2008. (View document from
Digital Library Archive - UTK) S. R. Sukumar, "Curvature Variation as measure of Shape Information", Master's Thesis, University of Tennessee Digital Library Archive, Knoxville, 2004. (View document from
Digital Library Archive - UTK) | | | |