Sarkar, S., Kumar, S., Bhowmick, S., Mukherjee, A. (2018). Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness, and Reliability. Machine Learning Techniques for Online Social Networks. 135--154. Springer, Cham.
Bhowmick, S., Srinivasan, S. (2013). A template for parallelizing the louvain method for modularity maximization. Dynamics On and Of Complex Networks, Volume 2. 111--124. Birkh\"auser, New York, NY.
Chatterjee, A., Bhowmick, S., Raghavan, P. (2013). Improving Classifications Through Graph Embeddings. Graph Embedding for Pattern Analysis. 119--138. Springer, New York, NY.
Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E., Keyes, D. (2011). Application of alternating decision trees in selecting sparse linear solvers. Software Automatic Tuning. 153--173. Springer, New York, NY.
Bansal, S., Bhowmick, S., Paymal, P. (2011). Fast community detection for dynamic complex networks. Complex Networks. 196--207. Springer, Berlin, Heidelberg.
Bhowmick, S., Hovland, P. D. (2008). A polynomial-time algorithm for detecting directed axial symmetry in Hessian computational graphs. Advances in Automatic Differentiation. 91--102. Springer, Berlin, Heidelberg.
Norris, B., Bhowmick, S., Kaushik, D., Mclnnes, L. C. (2007). Middleware for dynamic adaptation of component applications. Grid-Based Problem Solving Environments. 127--149. Springer, Boston, MA.
Bhowmick, S., Kaushik, D., McInnes, L., Norris, B., Raghavan, P. (2006). -Parallel Adaptive Solvers in Compressible PETSc-FUN3D Simulations. Parallel Computational Fluid Dynamics 2005. 277--284.
Qian, W., Bhowmick, S., Mikler, A. R., O'Neill II, M., Ramisetty-Mikler, S. (2020). A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks. International Conference on Computational Science 2020.
Gasper, W., Cooper, K., Cornelius, N., Ali, H., Bhowmick, S. (2020). Characterization of S. cerevisiae Protein Complexes by Representative DDI Graph Planarity. Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. 1--6.
Komar, K. S., Santra, A., Bhowmick, S., Chakravarthy, S. (2020). EER $$$\backslash$rightarrow $$ MLN: EER Approach for Modeling, Mapping, and Analyzing Complex Data Using Multilayer Networks (MLNs). International Conference on Conceptual Modeling. 555--572.
Cooper, K., Cornelius, N., Gasper, W., Bhowmick, S., Ali, H. (2020). On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks. International Conference on Computational Science. 652--666.
Bhowmick, S., Srinivasan, S., Riazi, S., Das, S., Norris, B. (2018). A Shared-Memory Parallel Algorithm for Updating Single Source Shortest Paths in Weighted Dynamic Graphs. International Conference of High Performance Computing.
Sarkar, S., Bhowmick, S., Mukherjee, A. (2018). On Rich Clubs of Path-Based Centralities in Networks. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 567--576.
Parsinia, M., Peng, Q., Bhowmick, S., Matyjas, J. D., Kumar, S. (2017). Gender Assignment for Directional Full-Duplex FDD Nodes in a Multihop Wireless Network. Ad Hoc Networks. 390--401. Springer, Cham.
Santra, A., Bhowmick, S. (2017). Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges. International Conference on Big Data Analytics. 59--68.
Santra, A., Bhowmick, S., Chakravarthy, S. (2017). Hubify: efficient estimation of central entities across multiplex layer compositions. Data Mining Workshops (ICDMW), 2017 IEEE International Conference on. 142--149.
Srinivasan, S., Bhowmick, S., Das, S. (2016). Application of Graph Sparsification in Developing Parallel Algorithms for Updating Connected Components. 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 885--891.
Sarkar, S., Kumar, S., Bhowmick, S., Mukherjee, A. (2016). Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 69--72.
Ufimtsev, V., Sarkar, S., Mukherjee, A., Bhowmick, S. (2016). Understanding stability of noisy networks through centrality measures and local connections. Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 2347--2352.
Ufimtsev, V., Bhowmick, S. (2014). An extremely fast algorithm for identifying high closeness centrality vertices in large-scale networks. Proceedings of the 4th Workshop on Irregular Applications: Architectures and Algorithms. 53--56.
Ufimtsev, V., Bhowmick, S., Rajamanickam, S. (2014). Building blocks for graph based network analysis. High Performance Extreme Computing Conference (HPEC), 2014 IEEE. 1--6.
Ufimtsev, V., Bhowmick, S. (2014). Finding high betweenness centrality vertices in large networks. CSC14: The Sixth SIAM Workshop on Combinatorial Scientific Computing. 45.
Chakraborty, T., Srinivasan, S., Ganguly, N., Mukherjee, A., Bhowmick, S. (2014). On the permanence of vertices in network communities. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 1396--1405.
Dempsey, K., Chen, T., Srinivasan, S., Bhowmick, S., Ali, H. (2013). A structure-preserving hybrid-chordal filter for sampling in correlation networks. High Performance Computing and Simulation (HPCS), 2013 International Conference on. 243--250.
West, S., Dempsey, K., Bhowmick, S., Ali, H. (2013). Analysis of incrementally generated clusters in biological networks using graph-theoretic filters and ontology enrichment. Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on. 584--591.
Ufimtsev, V., Bhowmick, S. (2013). Application of group testing in identifying high betweenness centrality vertices in complex networks. Eleventh Workshop on Mining and Learning with Graphs. 1--8.
Ufimtsev, V., Bhowmick, S. (2013). Identifying high betweenness centrality vertices in large noisy networks. Parallel and Distributed Processing Symposium Workshops \& PhD Forum (IPDPSW), 2013 IEEE 27th International. 2234--2237.
Dasgupta, P., Bhowmick, S. (2013). Towards Context-Aware, Real Time and Autonomous Decision Making Using Information Aggregation and Network Analytics.. STIDS. 166--169.
Bastola, D. R., McGrath, S., Bhowmick, S., Thapa, I. (2012). A Comparison of Computational Approaches in the Molecular Identification of Pathogenic Organisms. Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on. 73--73.
Halappanavar, M., Feo, J., Dempsey, K., Ali, H., Bhowmick, S. (2012). A novel multithreaded algorithm for extracting maximal chordal subgraphs. Parallel Processing (ICPP), 2012 41st International Conference on. 58--67.
Lee, K. L., Stotts, D. (2012). Composition of bioinformatics model federations using communication aspects. Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on. 1--5.
Dempsey, K., Duraisamy, K., Bhowmick, S., Ali, H. (2012). The development of parallel adaptive sampling algorithms for analyzing biological networks. 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops \& PhD Forum. 725--734.
Duraisamy, K., Dempsey, K., Ali, H., Bhowmick, S. (2011). A noise reducing sampling approach for uncovering critical properties in large scale biological networks. High Performance Computing and Simulation (HPCS), 2011 International Conference on. 721--728.
Paymal, P., Patil, R., Bhowmick, S., Siy, H. (2011). Measuring disruption from software evolution activities using graph-based metrics. Software Maintenance (ICSM), 2011 27th IEEE International Conference on. 532--535.
Bhowmick, S., Shafiullah, M., Rai, H., Bastola, D. (2010). A Parallel Non-Alignment Based Approach to Efficient Sequence Comparison using Longest Common Subsequences. Journal of Physics: Conference Series. 256(1), 012012.
Chatterjee, A., Bhowmick, S., Raghavan, P. (2010). Feature subspace transformations for enhancing k-means clustering. Proceedings of the 19th ACM international conference on Information and knowledge management. 1801--1804.
Mclnnes, L. C., Kaushik, D., Norris, B., Bhowmick, S. (2010). Middleware for Dynamic Adaptation of Component Applications. IFIP International Federation for Information Processing. 239(1), .
Bhowmick, S., Toth, B., Raghavan, P. (2009). Towards low-cost, high-accuracy classifiers for linear solver selection. International Conference on Computational Science. 463--472.
Chatterjee, A., Bhowmick, S., Raghavan, P. (2008). FAST: Force-directed approximate subspace transformation to improve unsupervised document classification. Proceedings of 6th Text Mining Workshop held in Conjunction with SIAM International Conference on Data Mining, Atlanta, GA, USA.
Bhowmick, S., Hovland, P. D. (2008). Improving the performance of graph coloring algorithms through backtracking. International Conference on Computational Science. 873--882.
Norris, B., McInnes, L. C., Bhowmick, S., Li, L. (2007). Adaptive numerical components for PDE-based simulations. PAMM: Proceedings in Applied Mathematics and Mechanics. 7(1), 1140509--1140510.
Eijkhout, V., Fuentes, E., Ramakrishnan, N., Kang, P., Bhowmick, S., Keyes, D., Freund, Y. (2006). A self-adapting system for linear solver selection. Proc. 1st int’l workshop on automatic performance tuning (iWAPT2006). 44--53.
Bhowmick, S., Boman, E. G., Devine, K., Gebremedhin, A., Hendrickson, B., Hovland, P., Munson, T., Pothen, A. (2006). Combinatorial algorithms enabling computational science: tales from the front. Journal of Physics: Conference Series. 46(1), 453.
Bhowmick, S., Hovland, P. (2005). A backtracking correction heuristic for improving performance of graph coloring algorithms. Proceedings of the Second International Workshop on Combinatorial Scientific Computing.
Hovland, P. D., Norris, B., Strout, M. M., Bhowmick, S., Utke, J. (2005). Sensitivity analysis and design optimization through automatic differentiation. Journal of Physics: Conference Series. 16(1), 466.
Bhowmick, S., McInnes, L., Norris, B., Raghavan, P. (2004). Robust algorithms and software for parallel PDE-based simulations. Proceedings of the Advanced Simulation Technologies Conference, ASTC. 4, 18--22.
McInnes, L., Norris, B., Bhowmick, S., Raghavan, P. (2003). Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics. 2, 1024--1028.
Bhowmick, S., McInnes, L., Norris, B., Raghavan, P. (2003). The role of multi-method linear solvers in PDE-based simulations. International Conference on Computational Science and Its Applications. 828--839.
Bhowmick, S., Raghavan, P., Teranishi, K. (2002). A combinatorial scheme for developing efficient composite solvers. International Conference on Computational Science. 325--334.
Qian, W., Bhowmick, S., O'Neill, M., Ramisetty-Mikler, S., Mikler, A. R. (2021). Applying a Probabilistic Infection Model for studying contagion processes in contact networks. Journal of Computational Science. 54, . Elsevier. https://www.sciencedirect.com/science/article/abs/pii/S1877750321001046?via%3Dihub
Srinivasan, S., Pollard, S., Das, S. K., Norris, B., Bhowmick, S. (2018). A Shared-Memory Algorithm for Updating Tree-Based Properties of Large Dynamic Networks. Other. IEEE.
Sarkar, S., Sikdar, S., Bhowmick, S., Mukherjee, A. (2018). Using core-periphery structure to predict high centrality nodes in time-varying networks. Other. 32(5), 1368--1396. Springer US.
Santra, A., Bhowmick, S., Chakravarthy, S. (2017). Efficient community re-creation in multilayer networks using boolean operations. Procedia Computer Science. 108, 58--67. Elsevier.
Chakraborty, T., Kumar, S., Ganguly, N., Mukherjee, A., Bhowmick, S. (2016). GenPerm: a unified method for detecting non-overlapping and overlapping communities. Other. 28(8), 2101--2114. IEEE.
Chakraborty, T., Srinivasan, S., Ganguly, N., Mukherjee, A., Bhowmick, S. (2016). Permanence and community structure in complex networks. Other. 11(2), 14. ACM.
Bhowmick, S., Chen, T., Halappanavar, M. (2015). A new augmentation based algorithm for extracting maximal chordal subgraphs. Other. 76, 132--144. Academic Press.
Dempsey, K., Ufimtsev, V., Bhowmick, S., Ali, H. (2014). A parallel template for implementing filters for biological correlation networks. Other. 12(4), 285--297.
Meyer, P., Siy, H., Bhowmick, S. (2014). Identifying important classes of large software systems through k-core decomposition. Other. 17(07n08), 1550004. World Scientific Publishing Company.
Hemmatazad, N., Gandhi, R., Zhu, Q., Bhowmick, S. (2014). The Intelligent Data Brokerage: A Utility-Enhancing Architecture for Algorithmic Anonymity Measures. Other. 2(1), 22--33. IGI Global.
Cooper, K. D., Ufimtsev, V., Bhowmick, S., Ali, H. (2013). A Parallel Template for Implementing Filters for Biological Correlation Networks.
Chakraborty, T., Srinivasan, S., Ganguly, N., Bhowmick, S., Mukherjee, A. (2013). Constant communities in complex networks. Scientific Reports. 3, 1825. Nature Publishing Group.
Ufimtsev, V. V., Bhowmick, S., Rykov, V. V. (2012). A Scalable Group Testing Based Algorithm for Finding d-highest Betweenness Centrality Vertices in Large Scale Networks.
Dempsey, K., Bhowmick, S., Ali, H. (2012). Function-preserving filters for sampling in biological networks. Procedia Computer Science. 9, 587--595. Elsevier.
Srinivasan, S., Chakraborty, T., Bhowmick, S. (2012). Identifying base clusters and their application to maximizing modularity.. Other. 588, 82.
Cooper, K. D., Chen, T., Bhowmick, S., Ali, H. (2012). On the design of advanced filters for biological networks using graph theoretic properties.
Cooper, K. D., Duraisamy, K., Bhowmick, S., Ali, H. (2012). The Development of Parallel Adaptive Sampling Algorithms for Analyzing Biological Networks.
Srinivasan, S., Bhowmick, S. (2012). Using stable communities for maximizing modularity. Other. DIMACS Atlanta, Georgia.
Cooper, K. D., Duraisamy, K., Ali, H., Bhowmick, S. (2011). A parallel graph sampling algorithm for analyzing gene correlation networks. Procedia Computer Science. 4(2011), 136.
Paymal, P., Patil, R., Bhomwick, S., Siy, H. (2011). Empirical study of software evolution using community detection. Other.
Bhowmick, S. (2010). Novel Applications of Graph Embedding Techniques. Georgia Institute of Technology.
Bhowmick, S., Shontz, S. M. (2010). Towards high-quality, untangled meshes via a force-directed graph embedding approach. Procedia Computer Science. 1(1), 357--366. Elsevier.
Bhowmick, S., Hovland, P. (2007). Exploiting Symmetry for Hessian Computation.
Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E., Keyes, D. (2006). Application of machine learning to the selection of sparse linear solvers. Other.
Bhowmick, S., Raghavan, P., McInnes, L., Norris, B. (2004). Faster PDE-based simulations using robust composite linear solvers. Other. 20(3), 373--387. North-Holland.
Bhowmick, S., Buluc, A., Kepner, J., Miller, B., Caceres, R., Gadepally, V., Crouser, J., Webster, J. (2016). Data Mining Brings IT to SIAM Annual Meeting.
Rajamanickam, S., Ufimtsev, V., Bhowmick, S. (2014). Building Blocks for Graph Based Network Analysis.. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).
Berry, J. W., Leung, V. J., Phillips, C. A., Pinar, A., Robinson, D. G., Berger-Wolf, T., Bhowmick, S., Casleton, E., Kaiser, M., Nordman, D. J., others, (2014). Statistically significant relational data mining. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States).
Bhowmick, S., Hovland, P. (2006). A Polynomial Time Algorithm for the Detection of Axial Symmetry in Directed Acyclic Graphs. ANL/MCS-P1314-0106, Argonne National Laboratory, Illinois.