S. Sukumar

发表

Robotic three-dimensional imaging system for under-vehicle inspection

Mongi A. Abidi, Andreas F. Koschan, Andrei V. Gribok, 2006, J. Electronic Imaging.

Mobile scanning system for the fast digitization of existing roadways and structures

David Gorsich, Mongi A. Abidi, David Page, 2006 .

Thermal Modeling and Imaging of As-built Vehicle Components

David Gorsich, Mongi A. Abidi, David Page, 2006 .

Quality of Big Data in health care.

S. Sukumar, R. Natarajan, R. Ferrell, 2015, International journal of health care quality assurance.

Quantifying Performance of CGE : A Unified Scalable Pattern Mining and Search System

Michael F. Ringenburg, S. Sukumar, K. Maschhoff, 2017 .

Data Science for Public Policy: Of the people, for the people, by the people 2.0 ?

S. Sukumar, M. Shankar, 2014 .

Imaging via complete cantilever dynamic detection: general dynamic mode imaging and spectroscopy in scanning probe microscopy

Sergei V. Kalinin, S. Kalinin, S. Sukumar, 2016, Nanotechnology.

Imaging-based thermal modelling and reverse engineering of as-built automotive components: A case study

Andreas Koschan, Mongi A. Abidi, David Page, 2010 .

Heaps Towards understanding what makes 3 D objects appear simple or complex

M. Abidi, A. Koschan, S. Sukumar, 2008 .

Semantic pattern analysis for verbal fluency based assessment of neurological disorders

Keela C. Ainsworth, S. Sukumar, Tyler C. Brown, 2014, Proceedings of the 2014 Biomedical Sciences and Engineering Conference.

A methodology to consider combined electrical infrastructure and real-time power-flow impact costs in planning large-scale renewable energy farms

S. Sukumar, J. Nutaro, M. Shankar, 2010, 2010 IEEE Energy Conversion Congress and Exposition.

Chapter 11 UNDER VEHICLE INSPECTION WITH 3 D IMAGING Safety and Security for CheckPoint and Gate-Entry Inspections

M. Abidi, A. Koschan, S. Sukumar, 2007 .

Does tetanus vaccination contribute to reduced severity of the COVID-19 infection?

Christopher D. Rickett, S. Sukumar, K. Maschhoff, 2020, Medical Hypotheses.

Uncertainty Minimization in Robotic 3D Mapping Systems Operating in Dynamic Large-Scale Environments

Sreenivas Rangan Sukumar, S. Sukumar, 2008 .

Agent-Based vs. Equation-Based Epidemiological Models: A Model Selection Case Study

J. J. Nutaro, S. Sukumar, J. Nutaro, 2012, 2012 ASE/IEEE International Conference on BioMedical Computing (BioMedCom).

Predicting student success using analytics in course learning management systems

Mohammed M. Olama, Gautam S. Thakur, Sreenivas R. Sukumar, 2014, Sensing Technologies + Applications.

Towards Adaptive Educational Assessments: Predicting Student Performance using Temporal Stability and Data Analytics in Learning Management Systems

Mohammed M. Olama, Gautam S. Thakur, Sreenivas R. Sukumar, 2014 .

MuFeSaC: Learning When to Use Which Feature Detector

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2007, 2007 IEEE International Conference on Image Processing.

Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing

Christopher D. Rickett, S. Sukumar, K. Maschhoff, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Workflows Community Summit 2022: A Roadmap Revolution

Patrick M. Widener, Luiz M. R. Gadelha, Rosa M. Badia, 2023, ArXiv.

Uncertainty minimization in multi-sensor localization systems using model selection theory

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2008, 2008 19th International Conference on Pattern Recognition.

Modeling resource, infrastructure, and policy cost layers for optimizing renewable energy investment and deployment

Sergey Malinchik, James J. Nutaro, Mohammed M. Olama, 2010, 2010 IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply.

3D reconstruction of road surfaces using an integrated multi-sensory approach

Andreas Koschan, Mongi A. Abidi, David Page, 2007 .

Knowledge discovery from massive healthcare claims data

Varun Chandola, Sreenivas R. Sukumar, Jack C. Schryver, 2013, KDD.

Scalable association rule mining with predication on semantic representations of data

Sreenivas R. Sukumar, Li-Shiang Tsay, Larry W. Roberts, 2015, 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

A Reasoning And Hypothesis-Generation Framework Based On Scalable Graph Analytics Enabling Discoveries In Medicine Using Cray Urika-XA And Urika-GD

Sreenivas R. Sukumar, Jeffrey A. Graves, S. Sukumar, 2016 .

Deep Learning Predicts Protein-Ligand Interactions

S. Sukumar, Y. Peterson, J. Balma, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Curvature Variation as Measure of Shape Information

Sreenivas Rangan Sukumar, S. Sukumar, 2004 .

Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs

Robert M. Patton, Sreenivas R. Sukumar, Edward Chaum, 2015, 2015 IEEE International Conference on Big Data (Big Data).

FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms

Ramakrishnan Kannan, Seung-Hwan Lim, Luna Xu, 2016, 2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS).

Shape analysis algorithm based on information theory

Mongi A. Abidi, Andreas F. Koschan, Besma Roui-Abidi, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic

Christopher D. Rickett, S. Sukumar, Y. Peterson, 2021, SMC.

Enabling graph appliance for genome assembly

Sangkeun Lee, Sreenivas R. Sukumar, Rina Singh, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis

Sangkeun Lee, Seung-Hwan Lim, Seokyong Hong, 2016, Expert Syst. Appl..

Graph Processing Platforms at Scale: Practices and Experiences

Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, 2015, 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

DEFINING "NORMAL": METRICS FOR MINING HETEROGENEOUS GRAPHS AT LARGE SCALES

Sarah Powers, Sreenivas R Sukumar, S. Sukumar, 2014 .

Fraud Detection in Healthcare

Varun Chandola, Sreenivas R. Sukumar, Jack C. Schryver, 2015, Healthcare Data Analytics.

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases

Ramakrishnan Kannan, Sreenivas R. Sukumar, Md Mosharaf Hossain, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Concept of operations for knowledge discovery from Big Data across enterprise data warehouses

James J. Nutaro, Mohammed M. Olama, Sreenivas R. Sukumar, 2013, Defense, Security, and Sensing.

Optimizing the Cray Graph Engine for Performant Analytics on Cluster, SuperDome Flex, Shasta Systems and Cloud Deployment

Christopher D. Rickett, S. Sukumar, K. Maschhoff, 2022 .

Evaluation of Pattern Matching Workloads in Graph Analysis Systems

Sangkeun Lee, Ranga Raju Vatsavai, Seung-Hwan Lim, 2016, HPDC.

Graph mining meets the Semantic Web

Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, 2015, 2015 31st IEEE International Conference on Data Engineering Workshops.

Shape Measure for Identifying Perceptually Informative Parts of 3D Objects

Mongi A. Abidi, Andreas F. Koschan, Andrei V. Gribok, 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring

Qiang Zhang, Ranga Raju Vatsavai, Zexi Chen, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning

Kevin M. Roccapriore, M. Ziatdinov, S. Sukumar, 2023, SC Workshops.

Surface shape description of 3D data from under vehicle inspection robot

Andreas Koschan, Mongi A. Abidi, David Gorsich, 2005, SPIE Defense + Commercial Sensing.