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Publications

Disclaimer: The following papers may have copyright restrictions. Downloads will have to adhere to these restrictions. They may not be reposted without explicit permission from the copyright holder. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the sponsors including National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), and any other sponsors listed in the publications.
    1. Deng, Gangda; Zhou, Hongkuan; Kannan, Rajgopal; Prasanna, Viktor, Learning Personalized Scoping for Graph Neural Networks under Heterophily, arxiv, 2024
    2. Deng, Gangda; Zhou, Hongkuan; Zeng, Hanqing; Xia, Yinglong; Leung, Christopher; Li, Jianbo; Kannan, Rajgopal; Prasanna, Viktor, TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning, 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024
    3. Lin, Yi-Chien; Deng, Gangda; Prasanna, Viktor, A Unified CPU-GPU Protocol for GNN Training, ACM International Conference on Computing Frontiers, 2024
    4. Wang, Xu; Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor, FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification, 2024 IEEE Radar Conference (RadarConf24), 2024
    5. Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks, 2024 IEEE Radar Conference (RadarConf24), 2024
    6. Wickramasinghe, Sachini; Parikh, Dhruv; Zhang, Bingyi; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA, SPIE Defense + Commercial Sensing, 2024
    7. Wang, Xu; Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor, Graph Contrastive Learning based Adversarial Training for SAR Image Classification, Algorithms for Synthetic Aperture Radar Imagery XXXI, 2024, 2024
    8. Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Wang, Xu; Busart, Carl, Uncertainty-Informed SAR Image Classification with Bayesian Neural Networks, Automatic Target Recognition XXXIV, 2024, 2024
    9. Marino, Kyle; Zhang, Pengmiao; Prasanna, Viktor K., ME-ViT: A Single-Load Memory-Efficient FPGA Accelerator for Vision Transformers, 30th IEEE International Conference on High Performance Computing, Data, and Analytics, 2023
    10. Deng, Gangda; Akgül, Ömer F.; Zhou, Hongkuan; Zeng, Hanqing; Xia, Yinglong; Li, Jianbo; Prasanna, Viktor K., An Efficient Distributed Graph Engine for Deep Learning on Graphs, SC23 Workshop on Machine Learning with Graphs in High Performance Computing Environments, 2023
    11. Zhang, Pengmiao; Rajgopal, Kannan; Viktor K, Prasanna, Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’23), 2023
    12. Zhang, Bingyi; Wijeratne, Sasindu; Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl; Kaplan, Lance, How can Human-in-the-loop Improve the Performance of SAR ATR? A Reinforcement Learning Based Approach, IEEE International Radar Conference 2023, 2023
    13. Zhou, Hongkuan; Zheng, Da; Song, Xiang; Karypis, George; Prasanna, Viktor, DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training, The International Conference for High Performance Computing, Networking, Storage, and Analysis, 2023
    14. Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl; Kaplan, Lance, Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers, IEEE International Radar Conference (RADAR 2023), 2023
    15. Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Training Heterogeneous Graph Neural Networks using Bandit Sampling, 32nd ACM International Conference on Information and Knowledge Management (CIKM2023), 2023
    16. Fein-Ashley, Jacob; Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition, 27th Annual IEEE High Performance Extreme Computing Virtual Conference (HPEC 2023), 2023
    17. Gorle, Abhiram Rao; Zhang, Pengmiao; Kannan, Rajgopal; Prasanna, Viktor, G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction, 27th Annual IEEE High Performance Extreme Computing Virtual Conference (HPEC 2023), 2023
    18. Gupta, Neelesh; Zhang, Pengmiao; Kannan, Rajgopal; Prasanna, Viktor, PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models, 27th Annual IEEE High Performance Extreme Computing Virtual Conference (HPEC 2023), 2023
    19. Ye, Tian; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, Adversarial attack on GNN-based SAR image classifier, SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, 2023
    20. Zhou, Hongkuan; Kannan, Rajgopal; Swami, Ananthram; Prasanna, Viktor, HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN, IEEE International Conference on Computer Communications (InfoCom), 2023
    21. Zhang, Bingyi; Wijeratne, Sasindu; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, Graph Neural Network Based SAR Automatic Target Recognition with Human-in-the-loop, SPIE Defense + Commercial Sensing, 2023
    22. Zhang, Bingyi; Wijeratne, Sasindu; Kannan, Rajgopal; Prasanna, Viktor; Busart, Carl, Graph Neural Network for Accurate and Low-complexity SAR ATR, The Fifteenth International Conference on Advanced Geographic Information Systems, Applications, and Services, 2023
    23. Zhang, Chi; Meng, Yuan; Prasanna, Viktor, A Framework for Mapping DRL Algorithms with Prioritized Replay Buffer onto Heterogeneous Platforms, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
    24. Wijeratne, Sasindu; Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA, The 31st International Symposium on Field-Programmable Gate Arrays (FPGA 2023), 2023
    25. Wang, Ta-Yang; Zhou, Hongkuan; Kannan, Rajgopal; Swami, Ananthram; Prasanna, Viktor, Throughput optimization in heterogeneous MIMO networks: a GNN-based approach, 1st Graph Neural Networking Workshop (GNNet), 2022
    26. Zhang, Pengmiao; Kannan, Rajgopal; Srivastava, Ajitesh; Nori, Anant V; Prasanna, Viktor, ReSemble: Reinforced Ensemble Framework for Data Prefetching, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’22), 2022
    27. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, Safe Building HVAC Control via Batch Reinforcement Learning, IEEE Transactions on Sustainable Computing, 2022
    28. Wijeratne, Sasindu; Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Towards Programmable Memory Controller for Tensor Decomposition, 11th International Conference on Data Science and Applications (DATA 2022), 2022
    29. Pengmiao, Zhang; Kannan, Rajgopal; Nori, Anant V.; Prasanna, Viktor, A2P: Attention-Based Memory Access Prediction for Graph Analytics, 11th International Conference on Data Science and Applications (DATA 2022), 2022
    30. Meng, Yuan; Zhang, Chi; Prasanna, Viktor, FPGA Acceleration of Deep Reinforcement Learning using On-Chip Replay Management, 19th ACM International Conference on Computing Frontiers (CF’22), 2022
    31. Zhang, Pengmiao; Srivastava, Ajitesh; Nori, Anant V; Kannan, Rajgopal; Prasanna, Viktor K., Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching, 19th ACM International Conference on Computing Frontiers (CF ’22), 2022
    32. Zeng, Hanqing; Zhang, Muhan; Xia, Yinglong; Srivastava, Ajitesh; Malevich, Andrey; Kannan, Rajgopal; Prasanna, Viktor; Jin, Long; Chen, Ren, Decoupling the Depth and Scope of Graph Neural Networks, Advances in Neural Information Processing Systems, 2021
    33. Wang, Ta-Yang; Chang, William; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms, International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021
    34. Zhang, Naifeng; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., GenMAT: A General-Purpose Machine Learning-driven Auto-Tuner for Heterogeneous Platforms, 2021 Workshop on Programming Environments for Heterogeneous Computing (PEHC), 2021
    35. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning, 13th Asian Conference on Machine Learning (ACML), 2021
    36. Zhou, Hongkuan; Orme-Rogers, James; Kannan, Rajgopal; Prasanna, Viktor, SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings, 30th ACM International Conference on Information and Knowledge Manage- ment (CIKM ’21), 2021
    37. Cheung, Chung Ming; Kuppannagari, Sanmukh Rao; Prasanna, Viktor K., Socio-Demographic Characteristics Prediction using Soft Clustering of Load Consumption Data, Future Technologies Conference (FTC), 2021
    38. Zhang, Pengmiao; Srivastava, Ajitesh; Wang, Ta-yang; De Rose, Cesar Augusto F; Rajgopal, Kannan; Prasanna, Viktor, C-MemMAP: Clustering-driven Compact, Adaptable, and Generalizable Meta-LSTM Models for Memory Access Prediction, The International Journal of Data Science and Analytics (JDSA), 2021
    39. Kuppannagari, Sanmukh Rao; Fu, Yao; Cheung, Chung Ming; Prasanna, Viktor K., Spatio-Temporal Missing Data Imputation for Smart Power Grids, 3rd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES), 2021
    40. Zhang, Pengmiao; Srivastava, Ajitesh; Kannan, Rajgopal; Nori, Anant V.; Prasanna, Viktor K., TransforMAP: Transformer for Memory Access Prediction, The International Symposium on Computer Architecture (ISCA), ML for Computer Architecture and Systems Workshop, 2021
    41. Lazaris, Aggelos; Prasanna, Viktor K., An LSTM Framework for Software-Defined Measurement, IEEE Transactions on Network and Service Management, 2021
    42. Srivastava, Ajitesh; Zhang, Naifeng; Kannan, Rajgopal; Prasanna, Viktor K., Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction, 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020
    43. Imes, Connor; Colin, Alexei; Zhang, Naifeng; Srivastava, Ajitesh; Prasanna, Viktor; Walters, John Paul, Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads, IEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), 2020
    44. Zhang, Pengmiao; Srivastava, Ajitesh; Brooks, Benjamin; Kannan, Rajgopal; Prasanna, Viktor K., RAOP: Recurrent Neural Network Augmented Offset Prefetcher, The International Symposium on Memory Systems, 2020
    45. Wang, Ta-Yang; Srivastava, Ajitesh; Prasanna, Viktor, A Framework for Task Mapping onto Heterogeneous Platforms, IEEE High Performance Extreme Computing Conference, 2020
    46. Ajitesh, Srivastava; Tianjian, Xu; Viktor K., Prasanna, Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Health Day Track, 2020
    47. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors, International Conference on Machine Learning Inductive biases, invariances and generalization in RL workshop (ICML BIG), 2020
    48. Cheung, Chung Ming; Kuppannagari, Sanmukh Rao; Kannan, Rajgopal; Prasanna, Viktor K., Disaggregation of Behind-the-Meter Solar Generation in Presence of Energy Storage Resources, 7th Proceedings of the IEEE Conference on Technologies for Sustainability, 2020
    49. Zeng, Hanqing; Zhou, Hongkuan; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, GraphSAINT: Graph Sampling Based Inductive Learning Method, International Conference on Learning Representations (ICLR), 2020
    50. Srivastava, Ajitesh; Zhang, Pengmiao; Wang, Ta-yang; De Rose, Cesar Augusto F; Rajgopal, Kannan; Prasanna, Viktor, MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction, The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020
    51. Chung Ming, Cheung; Sanmukh Rao, Kuppannagari; Rajgopal, Kannan; Viktor K., Prasanna, Load Demand User Profiling in Smart Grids with Distributed Solar Generation, The Eleventh Conference on Innovative Smart Grid Technologies (ISGT), 2020
    52. Srivastava, Ajitesh; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., RecANt: Network-based Recruitment for Active Fake News Correction, IEEE International Conference on Big Data (IEEE BigData), 2019
    53. Srivastava, Ajitesh; Petering, Robin; Barr, Nicholas; Kannan, Rajgopal; Rice, Eric; Prasanna, Viktor K., Network-based intervention strategies to reduce violence among homeless, Social Network Analysis and Mining, 2019
    54. Xiong, Chuanxiu; Srivastava, Ajitesh; Kannan, Rajgopal; Damle, Omkar; Prasanna, Viktor K.; Southers, Erroll, On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation, 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
    55. Zhang, Chi; Kuppannagari, Sanmukh R; Kannan, Rajgopal; Prasanna, Viktor K, Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation, ACM BuildSys ’19, 2019
    56. Lazaris, Angelos; Prasanna, Viktor, Deep Learning Models For Aggregated Network Traffic Prediction, IEEE/IFIP International Conference on Network and Service Management (CNSM), 2019
    57. Srivastava, Ajitesh; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Minimizing Cost of Smart Grid Operations by Scheduling Mobile Energy Storage Systems, IEEE Letters of the Computer Society, 2019
    58. Cheung, Chung Ming; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven Approach, Second International Workshop on Energy Data and Analytics at the Tenth International Conference on Future Energy Systems, 2019
    59. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Approximate Scheduling of DERs with Discrete Complex Injections, ACM International Conference on Future Energy Systems (ACM e-Energy), 2019
    60. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Entity-specific Substructures for RDF Graph Embeddings, Semantic Web Journal: Special Issue on Knowledge Graphs: Construction, Management and Querying, 2019
    61. Lazaris, Aggelos; Prasanna, Viktor, An LSTM Framework For Modeling Network Traffic, IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet), 2019
    62. Zhang, Chi; Kuppannagari, Sanmukh R.; Xiong, Chuanxiu; Kannan, Rajgopal; Prasanna, Viktor K., A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling, acm/ieee conference on internet of things design and implementation, 2019
    63. Srivastava, Ajitesh; Lazaris, Angelos; Brooks, Benjamin; Kannan, Rajgopal; Prasanna, Viktor K., Predicting memory accesses: the road to compact ML-driven prefetcher, Proceedings of the International Symposium on Memory Systems – MEMSYS ’19, 2019
    64. Binna, Stefan; Kuppannagari, Sanmukh R.; Engel, Dominik; Prasanna, Viktor K., Subset Level Detection of False Data Injection Attacks in Smart Grids, 6th IEEE Conference on Technologies for Sustainability, 2018
    65. Rompokos, Athanasios A.; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Minimizing Cost of Load Matching in Multiple Micro-Grids Using MESS, 6th IEEE Conference on Technologies for Sustainability, 2018
    66. Zhang, Chi; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids, IEEE International Conference on Smart Grid Communications (SmartGridComm), 2018
    67. Cheung, Chung Ming; Zhong, Wen; Xiong, Chuan Xi; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm), 2018
    68. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Smart Oilfield SafetyNet – An Intelligent System for Integrated Asset Integrity Management, SPE Annual Technical Conference and Exhibition (ATCE), 2018
    69. Srivastava, Ajitesh; Petering, Robin; Kannan, Rajgopal; Rice, Eric; Prasanna, Viktor K., How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
    70. Saeed, Muhammad Rizwan; Prasanna, Viktor K., Extracting Entity-specific Substructures for RDF Graph Embedding, 19th IEEE International Conference on Information Reuse and Integration (IRI), 2018
    71. Srivastava, Ajitesh; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., FActCheck: Keeping Activation of Fake News at Check, Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
    72. Cheung, Chung Ming; Kannan, Rajgopal; Prasanna, Viktor K., Temporal Ensemble Learning of Univariate Methods for Short Term Load Forecasting, IEEE 9th Conference on Innovative Smart Grid Technologies (ISGT), 2018
    73. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., ASQFor: Automatic SPARQL query formulation for the non-expert, AI Communications, 2018
    74. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., NO-LESS: Near OptimaL CurtailmEnt Strategy Selection for Net Load Balancing in Micro Grids, Ninth Conference on Innovative Smart Grid Technology (ISGT), 2018
    75. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Risk Aware Net Load Balancing in Micro Grids with High DER Penetration, Ninth Conference on Innovative Smart Grid Technology (ISGT), 2018
    76. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., NO-LESS: Near OptimaL CurtailmEnt Strategy Selection for Net Load Balancing in Micro Grids, Ninth Conference on Innovative Smart Grid Technology (ISGT), 2018
    77. Pal, Ranjan; Hui, Pan; Prasanna, Viktor K., Privacy Engineering for the Smart Micro-Grid, IEEE Transactions on Knowledge and Data Engineering, 2018
    78. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Discrete Net Load Balancing in Smart Grids with High PV Penetration, ACM Transactions on Sensor Networks (TOSN), 2018
    79. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Discrete Net Load Balancing in Smart Grids with High PV Penetration, ACM Transactions on Sensor Networks (TOSN), 2018
    80. Lazaris, Angelos; Prasanna, Viktor K., DeepFlow: A Deep Learning Framework For Software-defined Measurement, ACM Cloud-Assisted Networking Workshop (CAN 17), 2017
    81. Cheung, Chung Ming; Goyal, Palash; Prasanna, Viktor K.; Tehrani, Arash Saber, OReONet: Deep Convolutional Network for Oil Reservoir Optimization, IEEE International Conference on Big Data (IEEE BigData), 2017
    82. Cheung, Chung Ming; Goyal, Palash; Prasanna, Viktor K.; Tehrani, Arash Saber, OReONet: Deep Convolutional Network for Oil Reservoir Optimization, IEEE International Conference on Big Data (IEEE BigData), 2017
    83. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Net-Load Balancing in Smart Grids with High PV Penetration, 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2017
    84. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Net-Load Balancing in Smart Grids with High PV Penetration, 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2017
    85. Cheung, Chung Ming; Goyal, Palash; Tehrani, Arash Saber; Prasanna, Viktor K., Deep Learning for Steam Job Candidate Selection, SPE Annual Technical Conference and Exhibition (ATCE), 2017
    86. Misyrlis, Michail; Cheung, Chung Ming; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., Spatio-Temporal Modeling of Criminal Activity, 2nd International Workshop on Social Sensing (SocialSens), 2017
    87. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., PReSS Towards a Secure Smart Grid: Protection Recommendations against Smart Spoofing, IEEE PES Innovative Smart Grid Technologies Conference, 2017
    88. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., PReSS Towards a Secure Smart Grid: Protection Recommendations against Smart Spoofing, IEEE PES Innovative Smart Grid Technologies Conference, 2017
    89. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., Towards Dynamic Demand Response: On Efficient Consumer Grouping Algorithmics, IEEE Transactions on Sustainable Computing, 2017
    90. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Computing Competing Cascades on Signed Networks, Social Network Analysis and Mining, 2016
    91. Patri, Om; Panangadan, Anand; Sorathia, Vikram; Prasanna, Viktor K., Sensors To Events: Semantic Modeling and Recognition of Events from Data Streams, International Journal of Semantic Computing, 2016
    92. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Chapter: Automatic Integration and Querying of Semantic Rich Heterogeneous Data, Managing the Web of Things: Linking the Real World to the Web, 2016
    93. Chelmis, Charalampos; Kannan, Rajgopal; Prasanna, Viktor K., Software Defined Connected Prosumer Communities, IEEE 3rd World Forum on Internet of Things (WF-IoT), 2016
    94. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Distributed Exact Subgraph Matching in Small Diameter Dynamic Graphs, IEEE International Conference on Big Data (IEEE BigData) (BigGraphs Workshop), 2016
    95. Wickramaarachchi, Charith; Chelmis, Charalampos; Kannan, Rajgopal; Prasanna, Viktor K., Protecting Critical Buses in Power-Grid Against Data Attacks: Adaptive Protection Schemes for Smart Cities, IEEE Future Technologies Conference (FTC ’16), 2016
    96. Wickramaarachchi, Charith; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Improved Protection Scheme for Data Attack on Strategic Buses in the Smart Grid, 4th IEEE Conference on Technologies for Sustainability (SusTech), 2016
    97. Misyrlis, Michail; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Sparse Causal Temporal Modeling to Inform Power System Defense, Procedia Computer Science, 2016
    98. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., PRIMER – A Regression-Rule Learning System for Intervention Optimization, Proceedings of the 10th International Web Rule Symposium, 2016
    99. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-grid, 25th International Joint Conference on Artificial Intelligence (IJCAI-16 Demo Track), 2016
    100. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Tehrani, Arash S.; Prasanna, Viktor K., Optimal Customer Targeting for Sustainable Demand Response in Smart Grids, International Conference on Computational Science, 2016
    101. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Tehrani, Arash S.; Prasanna, Viktor K., Optimal Customer Targeting for Sustainable Demand Response in Smart Grids, International Conference on Computational Science, 2016
    102. Pal, Ranjan; Prasanna, Viktor K., On Improving Cyber-Physical System Security: The STREAM Mechanism, IEEE Transactions on Computer-Aided Design for Integrated Circuits and Systems, 2016
    103. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., GPU-Accelerated Parameter Optimization for Classification Rule Learning, 29th International FLAIRS Conference, 2016
    104. Patri, Om P.; Tehrani, Arash S.; Prasanna, Viktor K.; Kannan, Rajgopal; Panangadan, Anand; Reyna, Nabor, Data Mining with Shapelets for Predicting Valve Failures in Gas Compressors, SPE Western Regional Meeting, 2016
    105. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Thou Shalt ASQFor and Shalt Receive the Semantic Answer, 25th International Joint Conference on Artificial Intelligence, 2016
    106. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Mining Large Dense Subgraphs, Proceedings of the 25th International Conference Companion on World Wide Web, 2016
    107. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance, IEEE Transactions on Parallel and Distributed Systems, 2016
    108. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance, IEEE Transactions on Parallel and Distributed Systems, 2016
    109. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble, AAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016
    110. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble, AAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016
    111. Srivastava, Ajitesh; Chelmis, Charalampos; Panangadan, Anand; Prasanna, Viktor K., Heterogeneous Infection Rate SI model with Inter-regional Mobility, NetSci X, 2016
    112. Knirsch, Fabian; Engel, Dominik; Neureiter, Cristian; Frincu, Marc; Prasanna, Viktor K., Privacy Assessment of Data Flow Graphs for an Advanced Recommender System in the Smart Grid, Communications in Computer and Information Science, Springer, 2016
    113. Knirsch, Fabian; Engel, Dominik; Neureiter, Cristian; Frincu, Marc; Prasanna, Viktor K., Privacy Assessment of Data Flow Graphs for an Advanced Recommender System in the Smart Grid, Communications in Computer and Information Science, Springer, 2016
    114. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., An ILP Based Algorithm for Optimal Customer Selection for Demand Response in Smartgrids, International Conference on Computational Science and Computational Intelligence (CSCI ’15), 2015
    115. Wickramaarachchi, Charith; Kumbhare, Alok; Chelmis, Charalampos; Prasanna, Viktor K., Hatrick: A System for Real-time Threat Detection in Cyber Physical Systems, Annual Computer Security Applications Conference (ACSAC ’15), 2015
    116. Patri, Om; Kannan, Rajgopal; Panangadan, Anand; Prasanna, Viktor K., Multivariate Time Series Classification Using Inter-leaved Shapelets, NIPS Time Workshop, 2015
    117. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., An ILP Based Algorithm for Optimal Customer Selection for Demand Response in Smartgrids, International Conference on Computational Science and Computational Intelligence (CSCI ’15), 2015
    118. Aman, Saima; Frincu, Marc; Chelmis, Charalampos; Noor, Mohammad; Prasanna, Viktor K., Prediction Models for Dynamic Demand Response: Requirements, Challenges, and Insights, IEEE Conference on Smart Grid Communications (SmartGridComm ’15), 2015
    119. Aman, Saima; Frincu, Marc; Chelmis, Charalampos; Noor, Mohammad; Prasanna, Viktor K., Prediction Models for Dynamic Demand Response: Requirements, Challenges, and Insights, IEEE Conference on Smart Grid Communications (SmartGridComm ’15), 2015
    120. Chelmis, Charalampos; Kolte, Jahanvi; Prasanna, Viktor K., Big Data Analytics for Demand Response: Clustering Over Space and Time, IEEE International Conference on Big Data Workshops, Big Data, 2015
    121. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies, 17th International Conference on Big Data Analytics and Knowledge Discovery (DaWak ’15), 2015
    122. Zhang, Yinuo; Wu, Hao; Panangadan, Anand; Prasanna, Viktor K., Integration of Heterogeneous Web Services for Event-based Social Networks, 16th IEEE International Conference on Information Reuse and Integration (IEEE IRI ’15), 2015
    123. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., The Unified Model of Social Influence and its Application in Influence Maximization, Social Network Analysis and Mining (SNAM ’15), 2015
    124. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Social Influence Computation and Maximization in Signed Networks with Competing Cascades, Advances in Social Network Analysis and Mining (ASONAM ’15), 2015
    125. Cheung, Chung Ming; Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., Computational Cost of Querying for Related Entities in Different Ontologies, 16th IEEE International Conference on Information Reuse and Integration (IEEE IRI ’15), 2015
    126. Chelmis, Charalampos; Saeed, Muhammad Rizwan; Frincu, Marc; Prasanna, Viktor K., Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges, ACM e-Energy, 2015
    127. Frincu, Marc; Chelmis, Charalampos; Aman, Saima; Saeed, Muhammad Rizwan; Zois, Vasilis; Prasanna, Viktor K.; Fern, Carol; Akbari, Aras, Enabling Automated Dynamic Demand Response: From Theory to Practice, ACM e-Energy, 2015
    128. Pal, Ranjan; Chelmis, Charalampos; Tadepalli, Chandra; Frincu, Marc; Aman, Saima; Prasanna, Viktor K., Online Time Series Clustering for Demand Response: A Theory to Break the ‘Curse of Dimensionality’, ACM e-Energy, 2015
    129. Pal, Ranjan; Chelmis, Charalampos; Tadepalli, Chandra; Frincu, Marc; Aman, Saima; Prasanna, Viktor K., Online Time Series Clustering for Demand Response: A Theory to Break the ‘Curse of Dimensionality’, ACM e-Energy, 2015
    130. Kumbhare, Alok; Frincu, Marc; Simmhan, Yogesh; Prasanna, Viktor K., Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination, IEEE International Conference on Distributed Computing Systems (ICDCS), 2015
    131. Kumbhare, Alok; Frincu, Marc; Simmhan, Yogesh; Prasanna, Viktor K., Fault-Tolerant and Elastic Streaming MapReduce with Decentralized Coordination, IEEE International Conference on Distributed Computing Systems (ICDCS), 2015
    132. Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Chelmis, Charalampos; Prasanna, Viktor K., Real-time Analytics for Fast Evolving Social Graphs, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015
    133. Patri, Om; Singh, Ketan; Szekely, Pedro; Panangadan, Anand; Prasanna, Viktor K., Personalized Trip Planning by Integrating Multimodal User-generated Content., IEEE International Conference on Semantic Computing (ICSC ’15), 2015
    134. Simmhan, Yogesh; Choudhury, Neel; Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Distributed Programming over Time-series Graphs, IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015
    135. Simmhan, Yogesh; Choudhury, Neel; Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Distributed Programming over Time-series Graphs, IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015
    136. Patri, Om; Singh, Ketan; Szekely, Pedro; Panangadan, Anand; Prasanna, Viktor K., Personalized Trip Planning by Integrating Multimodal User-generated Content., IEEE International Conference on Semantic Computing (ICSC ’15), 2015
    137. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K.; House, Robert; Blouin, Jacques; Thigpen, Brian, Semantic web technologies for external corrosion detection in smart oil fields, Society of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    138. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Learning of Performance Measures from Crowd-sourced Data with Application to Ranking of Investments, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015
    139. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Query, 20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015
    140. Patri, Om; Reyna, Nabor; Panangadan, Anand; Prasanna, Viktor K., Predicting Compressor Valve Failures from Multi-Sensor Data, Society of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    141. Patri, Om; Reyna, Nabor; Panangadan, Anand; Prasanna, Viktor K., Predicting Compressor Valve Failures from Multi-Sensor Data, Society of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    142. Knirsch, Fabian; Engel, Dominik; Neureiter, Christian; Frincu, Marc; Prasanna, Viktor K., Model-driven Privacy Assessment in the Smart Grid, International Conference on Information Systems Security and Privacy (ICISSP), 2015
    143. Knirsch, Fabian; Engel, Dominik; Frincu, Marc; Prasanna, Viktor K., Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart Grid, IEEE Conference on Innovative Smart Grid Technologies (ISGT), 2015
    144. Knirsch, Fabian; Engel, Dominik; Frincu, Marc; Prasanna, Viktor K., Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart Grid, IEEE Conference on Innovative Smart Grid Technologies (ISGT), 2015
    145. Knirsch, Fabian; Engel, Dominik; Neureiter, Christian; Frincu, Marc; Prasanna, Viktor K., Model-driven Privacy Assessment in the Smart Grid, International Conference on Information Systems Security and Privacy (ICISSP), 2015
    146. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Influence-driven Model for Time Series Prediction from Partial Observations, AAAI Workshop on Computational Sustainability, 2015
    147. Shang, Chao; Panangadan, Anand; Prasanna, Viktor K., Event Extraction from Unstructured Text Data, 26th International Conference on Database and Expert Systems Applications (DEXA), 2015
    148. Chelmis, Charalampos; Aman, Saima; Saeed, Muhammad Rizwan; Frincu, Marc; Prasanna, Viktor K., Estimating Reduced Consumption for Dynamic Demand Response, AAAI Workshop on Computational Sustainability, 2015
    149. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Holistic Measures for Evaluating Prediction Models in Smart Grids, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015
    150. Kumbhare, Alok; Simmhan, Yogesh; Frincu, Marc; Prasanna, Viktor K., Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure, IEEE Transactions on Cloud Computing, 2015
    151. Zois, Vasileios; Frincu, Marc; Chelmis, Charalampos; Saeed, Muhammad Rizwan; Prasanna, Viktor K., Efficient Customer Selection for Sustainable Demand Response in Smart Grids, 5th International Green Computing Conference (IGCC), 2014
    152. Patri, Om; Sharma, Abhishek; Chen, Haifeng; Jiang, Guofei; Panangadan, Anand; Prasanna, Viktor K., Extracting Discriminative Shapelets from Heterogeneous Sensor Data, IEEE International Conference on Big Data (IEEE BigData), 2014
    153. Frincu, Marc; Chelmis, Charalampos; Noor, Muhammad; Prasanna, Viktor K., Accurate and Efficient Selection of the Best Consumption Prediction Method in Smart Grids, IEEE International Conference on Big Data (IEEE BigData), 2014
    154. Zois, Vasileios; Frincu, Marc; Prasanna, Viktor K., Integrated Platform for Automated Sustainable Demand Response in Smart Grids, 2nd IEEE International Workshop on Intelligent Energy Systems (IWIES), 2014
    155. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; McKee, Randall; Prasanna, Viktor K., Predicting Failures from Oilfield Sensor Data using Time Series Shapelets, 91st Society of Petroleum Engineers Annual Technical Conference and Exhibition (SPE ATCE), 2014
    156. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; McKee, Randall; Prasanna, Viktor K., Predicting Failures from Oilfield Sensor Data using Time Series Shapelets, 91st Society of Petroleum Engineers Annual Technical Conference and Exhibition (SPE ATCE), 2014
    157. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Interactive Query Refinement for Boolean Search, Semantic Analysis of Documents Workshop (SemADoc), 2014
    158. Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Efficient Extraction of High Centrality Vertices in Distributed Graphs, IEEE 18th International Conference on High Performance Extreme Computing (HPEC), 2014
    159. Wickramaarachchi, Charith; Frincu, Marc; Small, Patrick; Prasanna, Viktor K., Fast Parallel Algorithm for Unfolding of Communities in Large Graphs, IEEE 18th International Conference on High Performance Extreme Computing (HPEC), 2014
    160. Srivastava, Ajitesh; Panangadan, A.; Chelmis, Charalampos; Prasanna, Viktor K., Influence in Social Networks: A Unified Model?, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2014
    161. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Peer Review in Online Forums: Classifying Feedback-Sentiment, Proceedings of the 15th IEEE International Conference on Information Reuse and Integration (IEEE IRI), 2014
    162. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., UFOM: Unified Fuzzy Ontology Matching, IEEE International Conference on Information Reuse and Integration (IRI), 2014
    163. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Discriminative Features for Event-based Electricity Disaggregation, 2nd IEEE Conference on Technologies for Sustainability(SusTech), 2014
    164. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Discriminative Features for Event-based Electricity Disaggregation, 2nd IEEE Conference on Technologies for Sustainability(SusTech), 2014
    165. Simmhan, Yogesh; Kumbhare, Alok; Wickramaarachchi, Charith; Nagarkar, Soonil; Ravi, Santosh; Raghavendra, Cauligi S.; Prasanna, Viktor K., GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics, 20th International EuroPar Conference (Euro-Par), 2014
    166. Kumbhare, Alok Gautam; Simmhan, Yogesh; Prasanna, Viktor K., PLAStiCC: Predictive Look-Ahead Scheduling for Continuous dataflows on Clouds, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014
    167. Chelmis, Charalampos; Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Semantic Social Network Analysis for the Enterprise, Journal of Computing and Informatics – Special Issue on Computational Intelligence for Business Collaboration, 2014
    168. Chelmis, Charalampos; Srivastava, Ajitesh; Prasanna, Viktor K., Computational Models of Technology Adoption at the Workplace, Social Network Analysis and Mining, 2014
    169. Patri, Om; Sorathia, Vikram; Panangadan, Anand; Prasanna, Viktor K., The Process-oriented Event Model (PoEM) – A Conceptual Model for Industrial Events, 8th ACM International Conference on Distributed Event-Based Systems (DEBS), 2014
    170. Patri, Om; Panangadan, Anand; Sorathia, Vikram; Prasanna, Viktor K., Semantic Management of Enterprise Integration Patterns: A Use Case in Smart Grids, 10th Workshop on Information Integration on the Web (IIWeb), held at the 30th IEEE International Conference on Data Engineering, ICDE, 2014
    171. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid, IEEE Green Energy and Systems Conference (IGESC’13), 2013
    172. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid, IEEE Green Energy and Systems Conference (IGESC’13), 2013
    173. Chelmis, Charalampos; Prasanna, Viktor K., The Role of Organization Hierarchy in Technology Adoption at the Workplace, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013
    174. Wu, Hao; Chelmis, Charalampos; Zhang, Yinuo; Sorathia, Vikram; Patri, Om; Prasanna, Viktor K., Enriching Employee Ontology for Enterprises with Knowledge Discovery from Social Networks, 3rd Workshop on Social Network Analysis in Applications, 2013
    175. Simmhan, Yogesh; Aman, Saima; Kumbhare, Alok; Liu, Rongyang; Stevens, Sam; Zhou, Qunzhi; Prasanna, Viktor K., Cloud-based Software Platform for Data-Driven Smart Grid Management, Computing in Science and Engineering, IEEE and AIP, 2013
    176. Zhang, Yinuo; Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Event Recommendation in Social Networks with Linked Data Enablement, 9th International Conference on Enterprise Information Systems (ICEIS), 2013
    177. Chelmis, Charalampos; Prasanna, Viktor K., Exploring Generative Models of Tripartite Graphs for Recommendation in Social Media, 4th ACM International workshop on Modeling social media, 2013
    178. Chelmis, Charalampos; Prasanna, Viktor K., Social Link Prediction in Online Social Tagging Systems, ACM Transactions on Information Systems, 2013
    179. Chelmis, Charalampos, Complex Modelling and Analysis of Workplace Collaboration Data, International Conference on Collaboration Technologies and Systems, 2013
    180. Chelmis, Charalampos; Prasanna, Viktor K., An Empirical Analysis of Microblogging Behavior in the Enterprise, Social Networking Analysis and Mining, Springer Wien, 2013
    181. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Energy Management Systems: State of the Art and Emerging Trends, IEEE Communications Magazine, 2013
    182. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Towards Hybrid Online On-Demand Querying of Realtime Data with Stateful Complex Event Processing, IEEE International Conference on Big Data (BigData), 2013
    183. Chelmis, Charalampos; Zhao, Jing; Sorathia, Vikram; Suchindra, Agarwal; Prasanna, Viktor K., Toward an Automatic Metadata Management Framework for Smart Oil Fields, SPE Economics & Management, 2013
    184. Simmhan, Yogesh; Noor, Muhammad Usman, Scalable Prediction of Energy Consumption using Incremental Time Series Clustering, Workshop on Big Data and Smarter Cities, 2013
    185. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Exploiting Application Dynamism and Cloud Elasticity for Continuous Dataflows, International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2013
    186. Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K., Enterprise Knowledge Preservation and Management, Collaborative Processes and Decision Making in Organizations, IGI Global, 2013
    187. Chen, Na; Prasanna, Viktor K., A Bag-of-semantics Model for Image Clustering, Visual Computer Journal, 2013
    188. Chelmis, Charalampos; Prasanna, Viktor K., An Empirical Analysis of Microblogging Behavior in the Enterprise, Social Networking Analysis and Mining, Springer Wien, 2013
    189. Wickramaarachchi, Charith; Simmhan, Yogesh, Continuous Dataflow Update Strategies for Mission-Critical Applications, IEEE International Conference on eScience (eScience), 2013
    190. Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Predict Whom One Will Follow: Followee Recommendation in Microblogs, ASE International Conference on Social Informatics (SocialInfo), 2012
    191. Chen, Na; Prasanna, Viktor K., Semantic Image Clustering Using Object Relation Network, Computational Visual Media Conference, 2012
    192. Patri, Om Prasad; Sorathia, Vikram; Prasanna, Viktor K., Event-driven Information Integration for the Digital Oilfield, SPE Annual Technical Conference and Exhibition (SPE ATCE), 2012
    193. Chelmis, Charalampos; Prasanna, Viktor K., Predicting Communication Intention in Social Networks, ASE/IEEE International Conference on Social Computing (SocialCom), 2012
    194. Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K., Enterprise Wisdom Captured Socially, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2012
    195. Chelmis, Charalampos; Prasanna, Viktor K., Microblogging in the Enterprise: A few comments are in order, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2012
    196. Chen, Na; Prasanna, Viktor K., Rankbox: An Adaptive Ranking System for Mining Complex Semantic Relationships Using User Feedback, 13th IEEE International Conference on Information Reuse and Integration, 2012
    197. Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Scalable Regression Tree Learning on Hadoop using OpenPlanet, International Workshop on MapReduce and its Applications (MAPREDUCE), 2012
    198. Zhao, Jing; Simmhan, Yogesh; Prasanna, Viktor K., Presenting Apropos Provenance for Situation Awareness and Forensics, International Proveanance and Annotation Workshop, 2012
    199. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Cryptonite: A Secure and Performant Data Repository on Public Clouds, International Cloud Computing Conference (CLOUD), 2012
    200. Simmhan, Yogesh; Deng, Litao; Kumbhare, Alok; Redekopp, Mark; Prasanna, Viktor K., Scalable, Secure Analysis of Social Sciences Data on the Azure Platform, Cloud Futures Workshop, 2012
    201. Simmhan, Yogesh; Agarwal, Vaibhav; Aman, Saima; Kumbhare, Alok; Natarajan, Sreedhar; Rajguru, Nikhil; Robinson, Ian; Stevens, Samuel; Yin, Wei; Zhou, Qunzhi; Prasanna, Viktor K., Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids, IEEE International Scalable Computing Challenge (SCALE), 2012
    202. Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Information Modeling for Emerging Applications in Smart Grid, International Conference on Information Technology : New Generations (ITNG), 2012
    203. Chen, Na; Zhou, Qian-Yi; Prasanna, Viktor K., Understanding Web Images by Object Relation Network, 21th international conference on World Wide Web, 2012
    204. Chelmis, Charalampos; Zhao, Jing; Sorathia, Vikram; Agarwal, Suchindra; Prasanna, Viktor K., Semiautomatic, Semantic Assistance to Manual Curation of Data in Smart Oil Fields, SPE Western Regional Meeting, 2012
    205. Zhao, Jing; Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K.; Goel, Abhay, Recovering Linkage Between Seismic Images and Velocity Models, SPE Western Regional Meeting, 2012
    206. Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., When Diversity Meets Specialty: Friend Recommendation in Online Social Networks, ASE Human Journal, 2012
    207. Chen, Na; Prasanna, Viktor K., Learning to Rank Complex Semantic Relationships, International Journal on Semantic Web and Information Systems, 2012
    208. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators, International Workshop on Domain Driven Data Mining (DDDM), 2011
    209. Simmhan, Yogesh; Prasanna, Viktor K.; Aman, Saima; Natarajan, Sreedhar; Yin, Wei; Zhou, Qunzhi, Towards Data-driven Demand-Response Optimization in a Campus Microgrid, ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys ’11s), 2011
    210. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds, International Workshop on Data Intensive Computing in the Clouds (DataCloud-SC11), 2011
    211. Chelmis, Charalampos; Prasanna, Viktor K., Social Networking Analysis: A State of the Art and the Effect of Semantics, IEEE Third International Conference on Social Computing (SocialCom ’11), 2011
    212. Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Information Integration and Processing for Demand Response Optimization, Southern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    213. Aman, Saima; Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Machine Learning for Demand Forecasting in Smart Grid, Southern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    214. Aman, Saima; Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Machine Learning for Demand Forecasting in Smart Grid, Southern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    215. Zhao, Jing; Simmhan, Yogesh; Gomadam, Karthik; Prasanna, Viktor K., Querying Provenance in Distributed Environment, International Journal of Computers and Their Applications (IJCA) Special Issue on Scientific Workflows, Provenance and Their Applications, 2011
    216. Simmhan, Yogesh; Kumbhare, Alok; Cao, Baohua; Prasanna, Viktor K., An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on Clouds, IEEE International Cloud Computing Conference (CLOUD ’11), 2011
    217. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Towards an inexact semantic complex event processing framework, ACM International Conference on Distributed Event-Based System (DEBS ’11), 2011
    218. Simmhan, Yogesh; Cao, Baohua; Giakkoupis, Michail; Prasanna, Viktor K., Adaptive rate stream processing for smart grid applications on clouds, ACM International Workshop on Scientific Cloud Computing (ScienceCloud ’11), 2011
    219. Simmhan, Yogesh; Zhou, Qunzhi; Prasanna, Viktor K., Chapter: Semantic Information Integration for Smart Grid Applications, Green IT: Technologies and Applications, Springer, 2011
    220. Simmhan, Yogesh; Aman, Saima; Cao, Baohua; Giakkoupis, Mike; Kumbhare, Alok; Zhou, Qunzhi; Paul, Donald; Fern, Carol; Sharma, Aditya; Prasanna, Viktor K., An Informatics Approach to Demand Response Optimization in Smart Grids, University of Southern California, 2011
    221. Simmhan, Yogesh; Aman, Saima; Cao, Baohua; Giakkoupis, Mike; Kumbhare, Alok; Zhou, Qunzhi; Paul, Donald; Fern, Carol; Sharma, Aditya; Prasanna, Viktor K., An Informatics Approach to Demand Response Optimization in Smart Grids, University of Southern California, 2011
    222. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Smart Communication of Energy Use and Prediction in a Smart Grid Software Architecture, Energy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, 2010
    223. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Complex Event Processing for Smart Grid Information Integration and Management, Energy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, 2010
    224. Simmhan, Yogesh; Aman, Saima; Cao, Baohua; Giakkoupis, Michail; Kumbhare, Alok; Zhou, Qunzhi; Gomadam, Karthik; Prasanna, Viktor K., Scalable, Secure Energy Information Management for DR Analysis, Southern California Smart Grid Research Symposium (SoCalSGS ’10), 2010
    225. Zhao, Jing; Chen, Na; Gomadam, Karthik; Prasanna, Viktor K., Integrating Provenance Information in Reservoir Engineering, IEEE/WIC/ACM International Conference on Web Intelligence, 2010
    226. Chelmis, Charalampos; Bakshi, Amol; Burcu, F. Seren; Gomadam, Karthik; Prasanna, Viktor K., Intelligent Model Management And Visualization for Smart Oilfields, SPE Western Regional Meeting “From Mountains to Main Street”, 2010
    227. Zhu, Tao; Bakshi, Amol; Prasanna, Viktor K.; Cutler, Roger; Fanty, Scott, Semantic Web Technologies for Event Modeling and Analysis: A Well Surveillance Use Case, SPE Intelligent Energy Conference (SPE IE), 2010
    228. Sun, Fan; Zhao, Jing; Gomadam, Karthik; Prasanna, Viktor K., Provenance Collection in Reservoir Management Workflow Environments, 7th International Conference on Information Technology: New Generations, 2010
    229. Zhu, Tao; Bakshi, Amol; Prasanna, Viktor K.; Gomadam, Karthik, Applying Semantic Web Technologies to Reservoir Engineering: Challenges and Experiences from Event Modeling, 7th International Conference on Information Technology: New Generations, 2010
    230. Zhou, Qunzhi; Prasanna, Viktor K.; Wang, Yun; Chang, Hwan, A Semantic Framework for Integrated Modeling and Simulation of Transportation Systems, IFAC Symposium on Control in Transportation Systems (CTS ’09), 2009
    231. Soma, Ramakrishna; Prasanna, Viktor K., Detecting Dirty Queries During Iterative Development of OWL-based Applications, 7th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE ’08), 2008
    232. Sun, Fan; Prasanna, Viktor K.; Bakshi, Amol; Pianelo, Laurent, Workflow Instance Detection: Toward a Knowledge Capture Methodology for Smart Oilfields, IEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    233. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K., Data Component Based Management of Reservoir Simulation Models, IEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    234. Zhou, Qunzhi; Bakshi, Amol; Prasanna, Viktor K.; Soma, Ramakrishna, Towards an Integrated Modeling and Simulation Framework for Freight Transportation in Metropolitan Areas, IEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    235. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K.; Sie, Will Da; Bourgeois, B., A framework for design space exploration in oilfield asset development, SPE Intelligent EnergyConference and Exhibition, 2008
    236. Soma, Ramakrishna; Bakshi, Amol; Prasanna, Viktor K.; Sie, Will Da; Bourgeois, B., Semantic Web Technologies for Oil Field Operations, SPE Intelligent EnergyConference and Exhibition, 2008
    237. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K., ModelML: A Markup Language for Automatic Model Synthesis, IEEE International Conference on Information Reuse and Integration (IRI ’07), 2007
    238. Soma, Ramakrishna; Bakshi, Amol; Prasanna, Viktor K., An Architecture of a Workflow System for Integrated Asset Management in the smart oil field domain, IEEE International Workshop on Scientific Workflows, 2007
    239. Soma, Ram; Bakshi, Amol; Prasanna, Viktor K., A semantic framework for integrated asset management in smart oilfields, 7th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2007
    240. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K.; Sie, W. Da, Towards a Model-based Application Integration Framework for Smart Oilfields, IEEE International Conference on Information Reuse and Integration (IRI ’06), 2006
    241. Zhang, Cong; Orangi, Abdollah; Bakshi, Amol; Sie, Will Da; Prasanna, Viktor K., Model-based Framework for Oil Production Forecasting and Optimization: A Case Study in Integrated Asset Management, SPE Intelligent Energy Conference and Exhibition (IECE), 2006
    242. Zhang, Cong; Orangi, Abdollah; Bakshi, Amol; Sie, Will Da; Prasanna, Viktor K., Model-based Framework for Oil Production Forecasting and Optimization: A Case Study in Integrated Asset Management, SPE Intelligent Energy Conference and Exhibition (IECE), 2006
    243. Zhang, Cong; Prasanna, Viktor K.; Orangi, Abdollah; Sie, Will Da; Kwatra, Aditya, Modeling methodology for application development in petroleum industry, IEEE International Conference on Information Reuse and Integration, 2005
Click here for the complete list of publications of all Labs under Prof. Viktor K. Prasanna.
University of Southern California