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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. 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
    2. 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
    3. 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
    4. 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
    5. 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
    6. 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
    7. 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
    8. 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
    9. 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
    10. 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
    11. 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
    12. 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
    13. 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
    14. 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
    15. 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
    16. 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
    17. Wang, Ta-Yang; Zhou, Hongkuan; Kannan, Rajgopal; Swami, Ananthram; Prasanna, Viktor, Throughput optimization in heterogeneous MIMO networks: a GNN-based approach1st Graph Neural Networking Workshop (GNNet), 2022
    18. 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
    19. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, Safe Building HVAC Control via Batch Reinforcement Learning, IEEE Transactions on Sustainable Computing, 2022
    20. Wijeratne, Sasindu; Wang, Ta-Yang; Kannan, Rajgopal; Prasanna, Viktor, Towards Programmable Memory Controller for Tensor Decomposition11th International Conference on Data Science and Applications (DATA 2022), 2022
    21. 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
    22. 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
    23. 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
    24. 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
    25. Wang, Ta-Yang; Chang, William; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, Monte Carlo Tree Search for Task Mapping onto Heterogeneous PlatformsInternational Conference on High Performance Computing, Data, and Analytics (HiPC), 2021
    26. Zhang, Naifeng; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., GenMAT: A General-Purpose Machine Learning-driven Auto-Tuner for Heterogeneous Platforms2021 Workshop on Programming Environments for Heterogeneous Computing (PEHC), 2021
    27. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning, 13th Asian Conference on Machine Learning (ACML), 2021
    28. Zhou, Hongkuan; Orme-Rogers, James; Kannan, Rajgopal; Prasanna, Viktor, SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings30th ACM International Conference on Information and Knowledge Manage- ment (CIKM ’21), 2021
    29. Cheung, Chung Ming; Kuppannagari, Sanmukh Rao; Prasanna, Viktor K., Socio-Demographic Characteristics Prediction using Soft Clustering of Load Consumption DataFuture Technologies Conference (FTC), 2021
    30. 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 PredictionThe International Journal of Data Science and Analytics (JDSA), 2021
    31. Kuppannagari, Sanmukh Rao; Fu, Yao; Cheung, Chung Ming; Prasanna, Viktor K., Spatio-Temporal Missing Data Imputation for Smart Power Grids3rd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES), 2021
    32. Zhang, Pengmiao; Srivastava, Ajitesh; Kannan, Rajgopal; Nori, Anant V.; Prasanna, Viktor K., TransforMAP: Transformer for Memory Access PredictionThe International Symposium on Computer Architecture (ISCA), ML for Computer Architecture and Systems Workshop, 2021
    33. Lazaris, Aggelos; Prasanna, Viktor K., An LSTM Framework for Software-Defined MeasurementIEEE Transactions on Network and Service Management, 2021
    34. Srivastava, Ajitesh; Zhang, Naifeng; Kannan, Rajgopal; Prasanna, Viktor K., Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020
    35. Imes, Connor; Colin, Alexei; Zhang, Naifeng; Srivastava, Ajitesh; Prasanna, Viktor; Walters, John Paul, Compiler Abstractions and Runtime for Extreme-scale SAR and CFD WorkloadsIEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2), 2020
    36. Zhang, Pengmiao; Srivastava, Ajitesh; Brooks, Benjamin; Kannan, Rajgopal; Prasanna, Viktor K., RAOP: Recurrent Neural Network Augmented Offset PrefetcherThe International Symposium on Memory Systems, 2020
    37. Wang, Ta-Yang; Srivastava, Ajitesh; Prasanna, Viktor, A Framework for Task Mapping onto Heterogeneous PlatformsIEEE High Performance Extreme Computing Conference, 2020
    38. Ajitesh, Srivastava; Tianjian, Xu; Viktor K., Prasanna, Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and LimitationsACM SIGKDD Conference on Knowledge Discovery and Data Mining, Health Day Track, 2020
    39. Zhang, Chi; Kuppannagari, Sanmukh; Prasanna, Viktor, Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding ErrorsInternational Conference on Machine Learning Inductive biases, invariances and generalization in RL workshop (ICML BIG), 2020
    40. Cheung, Chung Ming; Kuppannagari, Sanmukh Rao; Kannan, Rajgopal; Prasanna, Viktor K., Disaggregation of Behind-the-Meter Solar Generation in Presence of Energy Storage Resources7th Proceedings of the IEEE Conference on Technologies for Sustainability, 2020
    41. Zeng, Hanqing; Zhou, Hongkuan; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor, GraphSAINT: Graph Sampling Based Inductive Learning MethodInternational Conference on Learning Representations (ICLR), 2020
    42. 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 PredictionThe 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020
    43. Chung Ming, Cheung; Sanmukh Rao, Kuppannagari; Rajgopal, Kannan; Viktor K., Prasanna, Load Demand User Profiling in Smart Grids with Distributed Solar GenerationThe Eleventh Conference on Innovative Smart Grid Technologies (ISGT), 2020
    44. Srivastava, Ajitesh; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., RecANt: Network-based Recruitment for Active Fake News CorrectionIEEE International Conference on Big Data (IEEE BigData), 2019
    45. Srivastava, Ajitesh; Petering, Robin; Barr, Nicholas; Kannan, Rajgopal; Rice, Eric; Prasanna, Viktor K., Network-based intervention strategies to reduce violence among homelessSocial Network Analysis and Mining, 2019
    46. Xiong, Chuanxiu; Srivastava, Ajitesh; Kannan, Rajgopal; Damle, Omkar; Prasanna, Viktor K.; Southers, Erroll, On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
    47. Zhang, Chi; Kuppannagari, Sanmukh R; Kannan, Rajgopal; Prasanna, Viktor K, Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model ApproximationACM BuildSys ’19, 2019
    48. Lazaris, Angelos; Prasanna, Viktor, Deep Learning Models For Aggregated Network Traffic PredictionIEEE/IFIP International Conference on Network and Service Management (CNSM), 2019
    49. Srivastava, Ajitesh; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Minimizing Cost of Smart Grid Operations by Scheduling Mobile Energy Storage SystemsIEEE Letters of the Computer Society, 2019
    50. Cheung, Chung Ming; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Towards Improved Real-Time Observability of Behind-Meter PhotoVoltaic Systems: A Data-Driven ApproachSecond International Workshop on Energy Data and Analytics at the Tenth International Conference on Future Energy Systems, 2019
    51. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Approximate Scheduling of DERs with Discrete Complex InjectionsACM International Conference on Future Energy Systems (ACM e-Energy), 2019
    52. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Entity-specific Substructures for RDF Graph EmbeddingsSemantic Web Journal: Special Issue on Knowledge Graphs: Construction, Management and Querying, 2019
    53. Lazaris, Aggelos; Prasanna, Viktor, An LSTM Framework For Modeling Network TrafficIEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet), 2019
    54. 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 Schedulingacm/ieee conference on internet of things design and implementation, 2019
    55. Srivastava, Ajitesh; Lazaris, Angelos; Brooks, Benjamin; Kannan, Rajgopal; Prasanna, Viktor K., Predicting memory accesses: the road to compact ML-driven prefetcherProceedings of the International Symposium on Memory Systems – MEMSYS ’19, 2019
    56. Binna, Stefan; Kuppannagari, Sanmukh R.; Engel, Dominik; Prasanna, Viktor K., Subset Level Detection of False Data Injection Attacks in Smart Grids6th IEEE Conference on Technologies for Sustainability, 2018
    57. Rompokos, Athanasios A.; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Minimizing Cost of Load Matching in Multiple Micro-Grids Using MESS6th IEEE Conference on Technologies for Sustainability, 2018
    58. Zhang, Chi; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Generative Adversarial Network for Synthetic Time Series Data Generation in Smart GridsIEEE International Conference on Smart Grid Communications (SmartGridComm), 2018
    59. Cheung, Chung Ming; Zhong, Wen; Xiong, Chuan Xi; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture ModelsIEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm), 2018
    60. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Smart Oilfield SafetyNet – An Intelligent System for Integrated Asset Integrity ManagementSPE Annual Technical Conference and Exhibition (ATCE), 2018
    61. Srivastava, Ajitesh; Petering, Robin; Kannan, Rajgopal; Rice, Eric; Prasanna, Viktor K., How to Stop Violence Among Homeless: Extension of Voter Model and Intervention StrategiesIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
    62. Saeed, Muhammad Rizwan; Prasanna, Viktor K., Extracting Entity-specific Substructures for RDF Graph Embedding19th IEEE International Conference on Information Reuse and Integration (IRI), 2018
    63. Srivastava, Ajitesh; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., FActCheck: Keeping Activation of Fake News at CheckProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
    64. Cheung, Chung Ming; Kannan, Rajgopal; Prasanna, Viktor K., Temporal Ensemble Learning of Univariate Methods for Short Term Load ForecastingIEEE 9th Conference on Innovative Smart Grid Technologies (ISGT), 2018
    65. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., ASQFor: Automatic SPARQL query formulation for the non-expertAI Communications, 2018
    66. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., NO-LESS: Near OptimaL CurtailmEnt Strategy Selection for Net Load Balancing in Micro GridsNinth Conference on Innovative Smart Grid Technology (ISGT), 2018
    67. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Risk Aware Net Load Balancing in Micro Grids with High DER PenetrationNinth Conference on Innovative Smart Grid Technology (ISGT), 2018
    68. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., NO-LESS: Near OptimaL CurtailmEnt Strategy Selection for Net Load Balancing in Micro GridsNinth Conference on Innovative Smart Grid Technology (ISGT), 2018
    69. Pal, Ranjan; Hui, Pan; Prasanna, Viktor K., Privacy Engineering for the Smart Micro-GridIEEE Transactions on Knowledge and Data Engineering, 2018
    70. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Discrete Net Load Balancing in Smart Grids with High PV PenetrationACM Transactions on Sensor Networks (TOSN), 2018
    71. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Discrete Net Load Balancing in Smart Grids with High PV PenetrationACM Transactions on Sensor Networks (TOSN), 2018
    72. Lazaris, Angelos; Prasanna, Viktor K., DeepFlow: A Deep Learning Framework For Software-defined MeasurementACM Cloud-Assisted Networking Workshop (CAN 17), 2017
    73. Cheung, Chung Ming; Goyal, Palash; Prasanna, Viktor K.; Tehrani, Arash Saber, OReONet: Deep Convolutional Network for Oil Reservoir OptimizationIEEE International Conference on Big Data (IEEE BigData), 2017
    74. Cheung, Chung Ming; Goyal, Palash; Prasanna, Viktor K.; Tehrani, Arash Saber, OReONet: Deep Convolutional Network for Oil Reservoir OptimizationIEEE International Conference on Big Data (IEEE BigData), 2017
    75. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Net-Load Balancing in Smart Grids with High PV Penetration4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2017
    76. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Optimal Net-Load Balancing in Smart Grids with High PV Penetration4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2017
    77. Cheung, Chung Ming; Goyal, Palash; Tehrani, Arash Saber; Prasanna, Viktor K., Deep Learning for Steam Job Candidate SelectionSPE Annual Technical Conference and Exhibition (ATCE), 2017
    78. Misyrlis, Michail; Cheung, Chung Ming; Srivastava, Ajitesh; Kannan, Rajgopal; Prasanna, Viktor K., Spatio-Temporal Modeling of Criminal Activity2nd International Workshop on Social Sensing (SocialSens), 2017
    79. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., PReSS Towards a Secure Smart Grid: Protection Recommendations against Smart SpoofingIEEE PES Innovative Smart Grid Technologies Conference, 2017
    80. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., PReSS Towards a Secure Smart Grid: Protection Recommendations against Smart SpoofingIEEE PES Innovative Smart Grid Technologies Conference, 2017
    81. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., Towards Dynamic Demand Response: On Efficient Consumer Grouping AlgorithmicsIEEE Transactions on Sustainable Computing, 2017
    82. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Computing Competing Cascades on Signed NetworksSocial Network Analysis and Mining, 2016
    83. Patri, Om; Panangadan, Anand; Sorathia, Vikram; Prasanna, Viktor K., Sensors To Events: Semantic Modeling and Recognition of Events from Data StreamsInternational Journal of Semantic Computing, 2016
    84. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Chapter: Automatic Integration and Querying of Semantic Rich Heterogeneous DataManaging the Web of Things: Linking the Real World to the Web, 2016
    85. Chelmis, Charalampos; Kannan, Rajgopal; Prasanna, Viktor K., Software Defined Connected Prosumer CommunitiesIEEE 3rd World Forum on Internet of Things (WF-IoT), 2016
    86. Wickramaarachchi, Charith; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Distributed Exact Subgraph Matching in Small Diameter Dynamic GraphsIEEE International Conference on Big Data (IEEE BigData) (BigGraphs Workshop), 2016
    87. Wickramaarachchi, Charith; Chelmis, Charalampos; Kannan, Rajgopal; Prasanna, Viktor K., Protecting Critical Buses in Power-Grid Against Data Attacks: Adaptive Protection Schemes for Smart CitiesIEEE Future Technologies Conference (FTC ’16), 2016
    88. Wickramaarachchi, Charith; Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., Improved Protection Scheme for Data Attack on Strategic Buses in the Smart Grid4th IEEE Conference on Technologies for Sustainability (SusTech), 2016
    89. Misyrlis, Michail; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Sparse Causal Temporal Modeling to Inform Power System DefenseProcedia Computer Science, 2016
    90. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., PRIMER – A Regression-Rule Learning System for Intervention OptimizationProceedings of the 10th International Web Rule Symposium, 2016
    91. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K., Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-grid25th International Joint Conference on Artificial Intelligence (IJCAI-16 Demo Track), 2016
    92. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Tehrani, Arash S.; Prasanna, Viktor K., Optimal Customer Targeting for Sustainable Demand Response in Smart GridsInternational Conference on Computational Science, 2016
    93. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Tehrani, Arash S.; Prasanna, Viktor K., Optimal Customer Targeting for Sustainable Demand Response in Smart GridsInternational Conference on Computational Science, 2016
    94. Pal, Ranjan; Prasanna, Viktor K., On Improving Cyber-Physical System Security: The STREAM MechanismIEEE Transactions on Computer-Aided Design for Integrated Circuits and Systems, 2016
    95. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., GPU-Accelerated Parameter Optimization for Classification Rule Learning29th International FLAIRS Conference, 2016
    96. 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 CompressorsSPE Western Regional Meeting, 2016
    97. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K., Thou Shalt ASQFor and Shalt Receive the Semantic Answer25th International Joint Conference on Artificial Intelligence, 2016
    98. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Mining Large Dense SubgraphsProceedings of the 25th International Conference Companion on World Wide Web, 2016
    99. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power BalanceIEEE Transactions on Parallel and Distributed Systems, 2016
    100. Pal, Ranjan; Chelmis, Charalampos; Frincu, Marc; Prasanna, Viktor K., MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power BalanceIEEE Transactions on Parallel and Distributed Systems, 2016
    101. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Learning to REDUCE: A Reduced Electricity Consumption Prediction EnsembleAAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016
    102. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Learning to REDUCE: A Reduced Electricity Consumption Prediction EnsembleAAAI Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, 2016
    103. Srivastava, Ajitesh; Chelmis, Charalampos; Panangadan, Anand; Prasanna, Viktor K., Heterogeneous Infection Rate SI model with Inter-regional MobilityNetSci X, 2016
    104. 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 GridCommunications in Computer and Information Science, Springer, 2016
    105. 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 GridCommunications in Computer and Information Science, Springer, 2016
    106. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., An ILP Based Algorithm for Optimal Customer Selection for Demand Response in SmartgridsInternational Conference on Computational Science and Computational Intelligence (CSCI ’15), 2015
    107. Wickramaarachchi, Charith; Kumbhare, Alok; Chelmis, Charalampos; Prasanna, Viktor K., Hatrick: A System for Real-time Threat Detection in Cyber Physical SystemsAnnual Computer Security Applications Conference (ACSAC ’15), 2015
    108. Patri, Om; Kannan, Rajgopal; Panangadan, Anand; Prasanna, Viktor K., Multivariate Time Series Classification Using Inter-leaved ShapeletsNIPS Time Workshop, 2015
    109. Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Prasanna, Viktor K., An ILP Based Algorithm for Optimal Customer Selection for Demand Response in SmartgridsInternational Conference on Computational Science and Computational Intelligence (CSCI ’15), 2015
    110. Aman, Saima; Frincu, Marc; Chelmis, Charalampos; Noor, Mohammad; Prasanna, Viktor K., Prediction Models for Dynamic Demand Response: Requirements, Challenges, and InsightsIEEE Conference on Smart Grid Communications (SmartGridComm ’15), 2015
    111. Aman, Saima; Frincu, Marc; Chelmis, Charalampos; Noor, Mohammad; Prasanna, Viktor K., Prediction Models for Dynamic Demand Response: Requirements, Challenges, and InsightsIEEE Conference on Smart Grid Communications (SmartGridComm ’15), 2015
    112. Chelmis, Charalampos; Kolte, Jahanvi; Prasanna, Viktor K., Big Data Analytics for Demand Response: Clustering Over Space and TimeIEEE International Conference on Big Data Workshops, Big Data, 2015
    113. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies17th International Conference on Big Data Analytics and Knowledge Discovery (DaWak ’15), 2015
    114. Zhang, Yinuo; Wu, Hao; Panangadan, Anand; Prasanna, Viktor K., Integration of Heterogeneous Web Services for Event-based Social Networks16th IEEE International Conference on Information Reuse and Integration (IEEE IRI ’15), 2015
    115. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., The Unified Model of Social Influence and its Application in Influence MaximizationSocial Network Analysis and Mining (SNAM ’15), 2015
    116. Srivastava, Ajitesh; Chelmis, Charalampos; Prasanna, Viktor K., Social Influence Computation and Maximization in Signed Networks with Competing CascadesAdvances in Social Network Analysis and Mining (ASONAM ’15), 2015
    117. Cheung, Chung Ming; Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., Computational Cost of Querying for Related Entities in Different Ontologies16th IEEE International Conference on Information Reuse and Integration (IEEE IRI ’15), 2015
    118. Chelmis, Charalampos; Saeed, Muhammad Rizwan; Frincu, Marc; Prasanna, Viktor K., Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to OrangesACM e-Energy, 2015
    119. 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 PracticeACM e-Energy, 2015
    120. 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
    121. 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
    122. Kumbhare, Alok; Frincu, Marc; Simmhan, Yogesh; Prasanna, Viktor K., Fault-Tolerant and Elastic Streaming MapReduce with Decentralized CoordinationIEEE International Conference on Distributed Computing Systems (ICDCS), 2015
    123. Kumbhare, Alok; Frincu, Marc; Simmhan, Yogesh; Prasanna, Viktor K., Fault-Tolerant and Elastic Streaming MapReduce with Decentralized CoordinationIEEE International Conference on Distributed Computing Systems (ICDCS), 2015
    124. Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Chelmis, Charalampos; Prasanna, Viktor K., Real-time Analytics for Fast Evolving Social GraphsIEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015
    125. 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
    126. Simmhan, Yogesh; Choudhury, Neel; Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Distributed Programming over Time-series GraphsIEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015
    127. Simmhan, Yogesh; Choudhury, Neel; Wickramaarachchi, Charith; Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Distributed Programming over Time-series GraphsIEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015
    128. 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
    129. Saeed, Muhammad Rizwan; Chelmis, Charalampos; Prasanna, Viktor K.; House, Robert; Blouin, Jacques; Thigpen, Brian, Semantic web technologies for external corrosion detection in smart oil fieldsSociety of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    130. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Learning of Performance Measures from Crowd-sourced Data with Application to Ranking of Investments19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015
    131. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Query20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015
    132. Patri, Om; Reyna, Nabor; Panangadan, Anand; Prasanna, Viktor K., Predicting Compressor Valve Failures from Multi-Sensor DataSociety of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    133. Patri, Om; Reyna, Nabor; Panangadan, Anand; Prasanna, Viktor K., Predicting Compressor Valve Failures from Multi-Sensor DataSociety of Petroleum Engineers Western Regional Meeting (SPE WRM), 2015
    134. Knirsch, Fabian; Engel, Dominik; Neureiter, Christian; Frincu, Marc; Prasanna, Viktor K., Model-driven Privacy Assessment in the Smart GridInternational Conference on Information Systems Security and Privacy (ICISSP), 2015
    135. Knirsch, Fabian; Engel, Dominik; Frincu, Marc; Prasanna, Viktor K., Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart GridIEEE Conference on Innovative Smart Grid Technologies (ISGT), 2015
    136. Knirsch, Fabian; Engel, Dominik; Frincu, Marc; Prasanna, Viktor K., Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart GridIEEE Conference on Innovative Smart Grid Technologies (ISGT), 2015
    137. Knirsch, Fabian; Engel, Dominik; Neureiter, Christian; Frincu, Marc; Prasanna, Viktor K., Model-driven Privacy Assessment in the Smart GridInternational Conference on Information Systems Security and Privacy (ICISSP), 2015
    138. Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor K., Influence-driven Model for Time Series Prediction from Partial ObservationsAAAI Workshop on Computational Sustainability, 2015
    139. Shang, Chao; Panangadan, Anand; Prasanna, Viktor K., Event Extraction from Unstructured Text Data26th International Conference on Database and Expert Systems Applications (DEXA), 2015
    140. Chelmis, Charalampos; Aman, Saima; Saeed, Muhammad Rizwan; Frincu, Marc; Prasanna, Viktor K., Estimating Reduced Consumption for Dynamic Demand ResponseAAAI Workshop on Computational Sustainability, 2015
    141. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Holistic Measures for Evaluating Prediction Models in Smart GridsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2015
    142. Kumbhare, Alok; Simmhan, Yogesh; Frincu, Marc; Prasanna, Viktor K., Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud InfrastructureIEEE Transactions on Cloud Computing, 2015
    143. Zois, Vasileios; Frincu, Marc; Chelmis, Charalampos; Saeed, Muhammad Rizwan; Prasanna, Viktor K., Efficient Customer Selection for Sustainable Demand Response in Smart Grids5th International Green Computing Conference (IGCC), 2014
    144. Patri, Om; Sharma, Abhishek; Chen, Haifeng; Jiang, Guofei; Panangadan, Anand; Prasanna, Viktor K., Extracting Discriminative Shapelets from Heterogeneous Sensor DataIEEE International Conference on Big Data (IEEE BigData), 2014
    145. Frincu, Marc; Chelmis, Charalampos; Noor, Muhammad; Prasanna, Viktor K., Accurate and Efficient Selection of the Best Consumption Prediction Method in Smart GridsIEEE International Conference on Big Data (IEEE BigData), 2014
    146. Zois, Vasileios; Frincu, Marc; Prasanna, Viktor K., Integrated Platform for Automated Sustainable Demand Response in Smart Grids2nd IEEE International Workshop on Intelligent Energy Systems (IWIES), 2014
    147. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; McKee, Randall; Prasanna, Viktor K., Predicting Failures from Oilfield Sensor Data using Time Series Shapelets91st Society of Petroleum Engineers Annual Technical Conference and Exhibition (SPE ATCE), 2014
    148. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; McKee, Randall; Prasanna, Viktor K., Predicting Failures from Oilfield Sensor Data using Time Series Shapelets91st Society of Petroleum Engineers Annual Technical Conference and Exhibition (SPE ATCE), 2014
    149. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Interactive Query Refinement for Boolean SearchSemantic Analysis of Documents Workshop (SemADoc), 2014
    150. Kumbhare, Alok; Frincu, Marc; Raghavendra, Cauligi S.; Prasanna, Viktor K., Efficient Extraction of High Centrality Vertices in Distributed GraphsIEEE 18th International Conference on High Performance Extreme Computing (HPEC), 2014
    151. Wickramaarachchi, Charith; Frincu, Marc; Small, Patrick; Prasanna, Viktor K., Fast Parallel Algorithm for Unfolding of Communities in Large GraphsIEEE 18th International Conference on High Performance Extreme Computing (HPEC), 2014
    152. 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
    153. Harris, Greg; Panangadan, Anand; Prasanna, Viktor K., Peer Review in Online Forums: Classifying Feedback-SentimentProceedings of the 15th IEEE International Conference on Information Reuse and Integration (IEEE IRI), 2014
    154. Zhang, Yinuo; Panangadan, Anand; Prasanna, Viktor K., UFOM: Unified Fuzzy Ontology MatchingIEEE International Conference on Information Reuse and Integration (IRI), 2014
    155. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Discriminative Features for Event-based Electricity Disaggregation2nd IEEE Conference on Technologies for Sustainability(SusTech), 2014
    156. Patri, Om; Panangadan, Anand; Chelmis, Charalampos; Prasanna, Viktor K., Extracting Discriminative Features for Event-based Electricity Disaggregation2nd IEEE Conference on Technologies for Sustainability(SusTech), 2014
    157. 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 Analytics20th International EuroPar Conference (Euro-Par), 2014
    158. Kumbhare, Alok Gautam; Simmhan, Yogesh; Prasanna, Viktor K., PLAStiCC: Predictive Look-Ahead Scheduling for Continuous dataflows on Clouds14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014
    159. Chelmis, Charalampos; Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Semantic Social Network Analysis for the EnterpriseJournal of Computing and Informatics – Special Issue on Computational Intelligence for Business Collaboration, 2014
    160. Chelmis, Charalampos; Srivastava, Ajitesh; Prasanna, Viktor K., Computational Models of Technology Adoption at the WorkplaceSocial Network Analysis and Mining, 2014
    161. Patri, Om; Sorathia, Vikram; Panangadan, Anand; Prasanna, Viktor K., The Process-oriented Event Model (PoEM) – A Conceptual Model for Industrial Events8th ACM International Conference on Distributed Event-Based Systems (DEBS), 2014
    162. Patri, Om; Panangadan, Anand; Sorathia, Vikram; Prasanna, Viktor K., Semantic Management of Enterprise Integration Patterns: A Use Case in Smart Grids10th Workshop on Information Integration on the Web (IIWeb), held at the 30th IEEE International Conference on Data Engineering, ICDE, 2014
    163. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., On Using Complex Event Processing for Dynamic Demand Response Optimization in MicrogridIEEE Green Energy and Systems Conference (IGESC’13), 2013
    164. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., On Using Complex Event Processing for Dynamic Demand Response Optimization in MicrogridIEEE Green Energy and Systems Conference (IGESC’13), 2013
    165. Chelmis, Charalampos; Prasanna, Viktor K., The Role of Organization Hierarchy in Technology Adoption at the WorkplaceIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013
    166. Wu, Hao; Chelmis, Charalampos; Zhang, Yinuo; Sorathia, Vikram; Patri, Om; Prasanna, Viktor K., Enriching Employee Ontology for Enterprises with Knowledge Discovery from Social Networks3rd Workshop on Social Network Analysis in Applications, 2013
    167. Simmhan, Yogesh; Aman, Saima; Kumbhare, Alok; Liu, Rongyang; Stevens, Sam; Zhou, Qunzhi; Prasanna, Viktor K., Cloud-based Software Platform for Data-Driven Smart Grid ManagementComputing in Science and Engineering, IEEE and AIP, 2013
    168. Zhang, Yinuo; Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Event Recommendation in Social Networks with Linked Data Enablement9th International Conference on Enterprise Information Systems (ICEIS), 2013
    169. Chelmis, Charalampos; Prasanna, Viktor K., Exploring Generative Models of Tripartite Graphs for Recommendation in Social Media4th ACM International workshop on Modeling social media, 2013
    170. Chelmis, Charalampos; Prasanna, Viktor K., Social Link Prediction in Online Social Tagging SystemsACM Transactions on Information Systems, 2013
    171. Chelmis, Charalampos, Complex Modelling and Analysis of Workplace Collaboration DataInternational Conference on Collaboration Technologies and Systems, 2013
    172. Chelmis, Charalampos; Prasanna, Viktor K., An Empirical Analysis of Microblogging Behavior in the EnterpriseSocial Networking Analysis and Mining, Springer Wien, 2013
    173. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Energy Management Systems: State of the Art and Emerging TrendsIEEE Communications Magazine, 2013
    174. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Towards Hybrid Online On-Demand Querying of Realtime Data with Stateful Complex Event ProcessingIEEE International Conference on Big Data (BigData), 2013
    175. Chelmis, Charalampos; Zhao, Jing; Sorathia, Vikram; Suchindra, Agarwal; Prasanna, Viktor K., Toward an Automatic Metadata Management Framework for Smart Oil FieldsSPE Economics & Management, 2013
    176. Simmhan, Yogesh; Noor, Muhammad Usman, Scalable Prediction of Energy Consumption using Incremental Time Series ClusteringWorkshop on Big Data and Smarter Cities, 2013
    177. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Exploiting Application Dynamism and Cloud Elasticity for Continuous DataflowsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2013
    178. Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K., Enterprise Knowledge Preservation and ManagementCollaborative Processes and Decision Making in Organizations, IGI Global, 2013
    179. Chen, Na; Prasanna, Viktor K., A Bag-of-semantics Model for Image ClusteringVisual Computer Journal, 2013
    180. Chelmis, Charalampos; Prasanna, Viktor K., An Empirical Analysis of Microblogging Behavior in the EnterpriseSocial Networking Analysis and Mining, Springer Wien, 2013
    181. Wickramaarachchi, Charith; Simmhan, Yogesh, Continuous Dataflow Update Strategies for Mission-Critical ApplicationsIEEE International Conference on eScience (eScience), 2013
    182. Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., Predict Whom One Will Follow: Followee Recommendation in MicroblogsASE International Conference on Social Informatics (SocialInfo), 2012
    183. Chen, Na; Prasanna, Viktor K., Semantic Image Clustering Using Object Relation NetworkComputational Visual Media Conference, 2012
    184. Patri, Om Prasad; Sorathia, Vikram; Prasanna, Viktor K., Event-driven Information Integration for the Digital OilfieldSPE Annual Technical Conference and Exhibition (SPE ATCE), 2012
    185. Chelmis, Charalampos; Prasanna, Viktor K., Predicting Communication Intention in Social NetworksASE/IEEE International Conference on Social Computing (SocialCom), 2012
    186. Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K., Enterprise Wisdom Captured SociallyIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2012
    187. Chelmis, Charalampos; Prasanna, Viktor K., Microblogging in the Enterprise: A few comments are in orderIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2012
    188. Chen, Na; Prasanna, Viktor K., Rankbox: An Adaptive Ranking System for Mining Complex Semantic Relationships Using User Feedback13th IEEE International Conference on Information Reuse and Integration, 2012
    189. Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Scalable Regression Tree Learning on Hadoop using OpenPlanetInternational Workshop on MapReduce and its Applications (MAPREDUCE), 2012
    190. Zhao, Jing; Simmhan, Yogesh; Prasanna, Viktor K., Presenting Apropos Provenance for Situation Awareness and ForensicsInternational Proveanance and Annotation Workshop, 2012
    191. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Cryptonite: A Secure and Performant Data Repository on Public CloudsInternational Cloud Computing Conference (CLOUD), 2012
    192. Simmhan, Yogesh; Deng, Litao; Kumbhare, Alok; Redekopp, Mark; Prasanna, Viktor K., Scalable, Secure Analysis of Social Sciences Data on the Azure PlatformCloud Futures Workshop, 2012
    193. 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 GridsIEEE International Scalable Computing Challenge (SCALE), 2012
    194. Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Information Modeling for Emerging Applications in Smart GridInternational Conference on Information Technology : New Generations (ITNG), 2012
    195. Chen, Na; Zhou, Qian-Yi; Prasanna, Viktor K., Understanding Web Images by Object Relation Network21th international conference on World Wide Web, 2012
    196. Chelmis, Charalampos; Zhao, Jing; Sorathia, Vikram; Agarwal, Suchindra; Prasanna, Viktor K., Semiautomatic, Semantic Assistance to Manual Curation of Data in Smart Oil FieldsSPE Western Regional Meeting, 2012
    197. Zhao, Jing; Chelmis, Charalampos; Sorathia, Vikram; Prasanna, Viktor K.; Goel, Abhay, Recovering Linkage Between Seismic Images and Velocity ModelsSPE Western Regional Meeting, 2012
    198. Wu, Hao; Sorathia, Vikram; Prasanna, Viktor K., When Diversity Meets Specialty: Friend Recommendation in Online Social NetworksASE Human Journal, 2012
    199. Chen, Na; Prasanna, Viktor K., Learning to Rank Complex Semantic RelationshipsInternational Journal on Semantic Web and Information Systems, 2012
    200. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Improving Energy Use Forecast for Campus Micro-grids using Indirect IndicatorsInternational Workshop on Domain Driven Data Mining (DDDM), 2011
    201. Simmhan, Yogesh; Prasanna, Viktor K.; Aman, Saima; Natarajan, Sreedhar; Yin, Wei; Zhou, Qunzhi, Towards Data-driven Demand-Response Optimization in a Campus MicrogridACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys ’11s), 2011
    202. Kumbhare, Alok; Simmhan, Yogesh; Prasanna, Viktor K., Designing a Secure Storage Repository for Sharing Scientific Datasets using Public CloudsInternational Workshop on Data Intensive Computing in the Clouds (DataCloud-SC11), 2011
    203. Chelmis, Charalampos; Prasanna, Viktor K., Social Networking Analysis: A State of the Art and the Effect of SemanticsIEEE Third International Conference on Social Computing (SocialCom ’11), 2011
    204. Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Information Integration and Processing for Demand Response OptimizationSouthern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    205. Aman, Saima; Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Machine Learning for Demand Forecasting in Smart GridSouthern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    206. Aman, Saima; Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor K., Machine Learning for Demand Forecasting in Smart GridSouthern California Smart Grid Research Symposium (SoCalSGS ’11), 2011
    207. Zhao, Jing; Simmhan, Yogesh; Gomadam, Karthik; Prasanna, Viktor K., Querying Provenance in Distributed EnvironmentInternational Journal of Computers and Their Applications (IJCA) Special Issue on Scientific Workflows, Provenance and Their Applications, 2011
    208. Simmhan, Yogesh; Kumbhare, Alok; Cao, Baohua; Prasanna, Viktor K., An Analysis of Security and Privacy Issues in Smart Grid Software Architectures on CloudsIEEE International Cloud Computing Conference (CLOUD ’11), 2011
    209. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Towards an inexact semantic complex event processing frameworkACM International Conference on Distributed Event-Based System (DEBS ’11), 2011
    210. Simmhan, Yogesh; Cao, Baohua; Giakkoupis, Michail; Prasanna, Viktor K., Adaptive rate stream processing for smart grid applications on cloudsACM International Workshop on Scientific Cloud Computing (ScienceCloud ’11), 2011
    211. Simmhan, Yogesh; Zhou, Qunzhi; Prasanna, Viktor K., Chapter: Semantic Information Integration for Smart Grid ApplicationsGreen IT: Technologies and Applications, Springer, 2011
    212. 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 GridsUniversity of Southern California, 2011
    213. 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 GridsUniversity of Southern California, 2011
    214. Aman, Saima; Simmhan, Yogesh; Prasanna, Viktor K., Smart Communication of Energy Use and Prediction in a Smart Grid Software ArchitectureEnergy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, 2010
    215. Zhou, Qunzhi; Simmhan, Yogesh; Prasanna, Viktor K., Semantic Complex Event Processing for Smart Grid Information Integration and ManagementEnergy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, 2010
    216. Simmhan, Yogesh; Aman, Saima; Cao, Baohua; Giakkoupis, Michail; Kumbhare, Alok; Zhou, Qunzhi; Gomadam, Karthik; Prasanna, Viktor K., Scalable, Secure Energy Information Management for DR AnalysisSouthern California Smart Grid Research Symposium (SoCalSGS ’10), 2010
    217. Zhao, Jing; Chen, Na; Gomadam, Karthik; Prasanna, Viktor K., Integrating Provenance Information in Reservoir EngineeringIEEE/WIC/ACM International Conference on Web Intelligence, 2010
    218. Chelmis, Charalampos; Bakshi, Amol; Burcu, F. Seren; Gomadam, Karthik; Prasanna, Viktor K., Intelligent Model Management And Visualization for Smart OilfieldsSPE Western Regional Meeting “From Mountains to Main Street”, 2010
    219. Zhu, Tao; Bakshi, Amol; Prasanna, Viktor K.; Cutler, Roger; Fanty, Scott, Semantic Web Technologies for Event Modeling and Analysis: A Well Surveillance Use CaseSPE Intelligent Energy Conference (SPE IE), 2010
    220. Sun, Fan; Zhao, Jing; Gomadam, Karthik; Prasanna, Viktor K., Provenance Collection in Reservoir Management Workflow Environments7th International Conference on Information Technology: New Generations, 2010
    221. Zhu, Tao; Bakshi, Amol; Prasanna, Viktor K.; Gomadam, Karthik, Applying Semantic Web Technologies to Reservoir Engineering: Challenges and Experiences from Event Modeling7th International Conference on Information Technology: New Generations, 2010
    222. Zhou, Qunzhi; Prasanna, Viktor K.; Wang, Yun; Chang, Hwan, A Semantic Framework for Integrated Modeling and Simulation of Transportation SystemsIFAC Symposium on Control in Transportation Systems (CTS ’09), 2009
    223. Soma, Ramakrishna; Prasanna, Viktor K., Detecting Dirty Queries During Iterative Development of OWL-based Applications7th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE ’08), 2008
    224. Sun, Fan; Prasanna, Viktor K.; Bakshi, Amol; Pianelo, Laurent, Workflow Instance Detection: Toward a Knowledge Capture Methodology for Smart OilfieldsIEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    225. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K., Data Component Based Management of Reservoir Simulation ModelsIEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    226. Zhou, Qunzhi; Bakshi, Amol; Prasanna, Viktor K.; Soma, Ramakrishna, Towards an Integrated Modeling and Simulation Framework for Freight Transportation in Metropolitan AreasIEEE International Conference on Information Reuse and Integration (IRI ’08), 2008
    227. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K.; Sie, Will Da; Bourgeois, B., A framework for design space exploration in oilfield asset developmentSPE Intelligent EnergyConference and Exhibition, 2008
    228. Soma, Ramakrishna; Bakshi, Amol; Prasanna, Viktor K.; Sie, Will Da; Bourgeois, B., Semantic Web Technologies for Oil Field OperationsSPE Intelligent EnergyConference and Exhibition, 2008
    229. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K., ModelML: A Markup Language for Automatic Model SynthesisIEEE International Conference on Information Reuse and Integration (IRI ’07), 2007
    230. Soma, Ramakrishna; Bakshi, Amol; Prasanna, Viktor K., An Architecture of a Workflow System for Integrated Asset Management in the smart oil field domainIEEE International Workshop on Scientific Workflows, 2007
    231. Soma, Ram; Bakshi, Amol; Prasanna, Viktor K., A semantic framework for integrated asset management in smart oilfields7th IEEE International Symposium on Cluster Computing and the Grid (CCGrid), 2007
    232. Zhang, Cong; Bakshi, Amol; Prasanna, Viktor K.; Sie, W. Da, Towards a Model-based Application Integration Framework for Smart OilfieldsIEEE International Conference on Information Reuse and Integration (IRI ’06), 2006
    233. 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 ManagementSPE Intelligent Energy Conference and Exhibition (IECE), 2006
    234. 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 ManagementSPE Intelligent Energy Conference and Exhibition (IECE), 2006
    235. Zhang, Cong; Prasanna, Viktor K.; Orangi, Abdollah; Sie, Will Da; Kwatra, Aditya, Modeling methodology for application development in petroleum industryIEEE International Conference on Information Reuse and Integration, 2005
Click here for the complete list of publications of all Labs under Prof. Viktor K. Prasanna.
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