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Rajiv Ramnath
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2020 – today
- 2024
- [j15]Dhabaleswar K. Panda, Vipin Chaudhary, Eric Fosler-Lussier, Raghu Machiraju, Amit Majumdar, Beth Plale, Rajiv Ramnath, Ponnuswamy Sadayappan, Neelima Savardekar, Karen Tomko:
Creating intelligent cyberinfrastructure for democratizing AI. AI Mag. 45(1): 22-28 (2024) - [c102]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. KDD 2024: 1348-1359 - [c101]Manikya Swathi Vallabhajosyula, Sandeep Satish Budhya, Rajiv Ramnath:
Reference Implementation of Smart Scheduler: A CI-Aware, AI-Driven Scheduling Framework for HPC Workloads. PEARC 2024: 75:1-75:4 - [c100]Manikya Swathi Vallabhajosyula, Sandeep Satish Budhya, Akanksha Jain, Maaz Baig, Rajiv Ramnath:
Orchestrating a DNN training job using an iScheduler Framework: a use case. PEARC 2024: 108:1-108:3 - [i25]Amin Karimi Monsefi, Pouya Shiri, Ahmad Mohammadshirazi, Nastaran Karimi Monsefi, Ron Davies, Sobhan Moosavi, Rajiv Ramnath:
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash. CoRR abs/2402.05151 (2024) - [i24]Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath:
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. CoRR abs/2402.06190 (2024) - [i23]Biplob Biswas, Rajiv Ramnath:
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data. CoRR abs/2405.13173 (2024) - [i22]Noushin Behboudi, Sobhan Moosavi, Rajiv Ramnath:
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques. CoRR abs/2406.13968 (2024) - [i21]Ahmad Mohammadshirazi, Ali Nosrati Firoozsalari, Mengxi Zhou, Dheeraj Kulshrestha, Rajiv Ramnath:
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation. CoRR abs/2406.17591 (2024) - [i20]Amin Karimi Monsefi, Kishore Prakash Sailaja, Ali Alilooee, Ser-Nam Lim, Rajiv Ramnath:
DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks. CoRR abs/2409.06809 (2024) - [i19]Amin Karimi Monsefi, Mengxi Zhou, Nastaran Karimi Monsefi, Ser-Nam Lim, Wei-Lun Chao, Rajiv Ramnath:
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning. CoRR abs/2409.10362 (2024) - [i18]Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun Chao, Alper Yilmaz, Rajiv Ramnath:
KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models. CoRR abs/2410.01595 (2024) - 2023
- [c99]Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath:
Scalable Deep Metric Learning on Attributed Graphs. CSoNet 2023: 385-397 - [c98]Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath:
End-to-End LU Factorization of Large Matrices on GPUs. PPoPP 2023: 288-300 - [c97]Amin Karimi Monsefi, Pouya Shiri, Ahmad Mohammadshirazi, Nastaran Karimi Monsefi, Ron Davies, Sobhan Moosavi, Rajiv Ramnath:
CrashFormer: A Multimodal Architecture to Predict the Risk of Crash. UrbanAI@SIGSPATIAL 2023: 42-51 - [c96]Manikya Swathi Vallabhajosyula, Rajiv Ramnath:
Insights from the HARP Framework: Using an AI-Driven Approach for Efficient Resource Allocation in HPC Scientific Workflows. PEARC 2023: 341-344 - [c95]Manikya Swathi Vallabhajosyula, Rajiv Ramnath:
Towards Characterizing DNNs to Estimate Training Time using HARP (HPC Application Resource (runtime) Predictor. PEARC 2023: 483-485 - [i17]Sobhan Moosavi, Rajiv Ramnath:
Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels. CoRR abs/2305.03740 (2023) - [i16]Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi, Mohammad Hossein Rafiei, Rajiv Ramnath:
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations. CoRR abs/2308.01438 (2023) - 2022
- [c94]Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath:
GPU Adaptive In-situ Parallel Analytics (GAP). PACT 2022: 467-480 - [c93]Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM 2022: 88-95 - [c92]Mengxi Zhou, Rajiv Ramnath:
A Structure-Focused Deep Learning Approach for Table Recognition from Document Images. COMPSAC 2022: 593-601 - [c91]Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine J. Cahill, Ramon Canal, Jany Chan, Eric Fosler-Lussier, Fritz Göbel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko:
Lightning Talks of EduHPC 2022. EduHPC@SC 2022: 42-49 - [c90]Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath:
Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data. SIGSPATIAL/GIS 2022: 9:1-9:4 - [c89]Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath:
Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations. IPDPS 2022: 190-200 - [c88]Manikya Swathi Vallabhajosyula, Rajiv Ramnath:
Establishing a Generalizable Framework for Generating Cost-Aware Training Data and Building Unique Context-Aware Walltime Prediction Regression Models. ISPA/BDCloud/SocialCom/SustainCom 2022: 497-506 - [c87]Biplob Biswas, Renhao Cui, Rajiv Ramnath:
Retrieval Based Response Letter Generation For a Customer Care Setting. NAACL-HLT (Industry Papers) 2022: 168-175 - [c86]Jayson Boubin, Avishek Banerjee, Jihoon Yun, Haiyang Qi, Yuting Fang, Steve Chang, Kannan Srinivasan, Rajiv Ramnath, Anish Arora:
PROWESS: An Open Testbed for Programmable Wireless Edge Systems. PEARC 2022: 11:1-11:9 - [c85]Manikya Swathi Vallabhajosyula, Rajiv Ramnath:
Towards Practical, Generalizable Machine-Learning Training Pipelines to build Regression Models for Predicting Application Resource Needs on HPC Systems. PEARC 2022: 43:1-43:5 - [i15]Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath:
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data. CoRR abs/2209.06813 (2022) - 2021
- [c84]Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Constraint-embedded paraphrase generation for commercial tweets. ASONAM 2021: 369-376 - [c83]Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi:
LocationTrails: a federated approach to learning location embeddings. ASONAM 2021: 377-384 - [c82]Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal:
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet 2021: 79-92 - [c81]Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath:
Scaling Sparse Matrix Multiplication on CPU-GPU Nodes. IPDPS 2021: 392-401 - [i14]Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath:
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. CoRR abs/2102.05843 (2021) - [i13]Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath:
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR abs/2112.15530 (2021) - 2020
- [j14]Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Tweets can tell: activity recognition using hybrid gated recurrent neural networks. Soc. Netw. Anal. Min. 10(1): 16 (2020) - [c80]Manirupa Das, Juanxi Li, Eric Fosler-Lussier, Simon M. Lin, Steve Rust, Yungui Huang, Rajiv Ramnath:
Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention. BioNLP 2020: 14-27 - [c79]Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath:
MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems. SC 2020: 82
2010 – 2019
- 2019
- [c78]Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Tweets can tell: activity recognition using hybrid long short-term memory model. ASONAM 2019: 164-167 - [c77]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS 2019: 33-42 - [c76]Gopi Krishna Tummala, Tanmoy Das, Prasun Sinha, Rajiv Ramnath:
SmartDashCam: automatic live calibration for DashCams. IPSN 2019: 157-168 - [c75]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD 2019: 2905-2913 - [i12]Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath:
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR abs/1902.06792 (2019) - [i11]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath:
A Countrywide Traffic Accident Dataset. CoRR abs/1906.05409 (2019) - [i10]Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. CoRR abs/1908.02551 (2019) - [i9]Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath:
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR abs/1909.09638 (2019) - [i8]Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath:
Learning to Answer Subjective, Specific Product-Related Queries using Customer Reviews by Adversarial Domain Adaptation. CoRR abs/1910.08270 (2019) - [i7]Renhao Cui, Gagan Agrawal, Rajiv Ramnath:
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets. CoRR abs/1910.12446 (2019) - [i6]Manirupa Das, Juanxi Li, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, Steve Rust, Yungui Huang, Rajiv Ramnath:
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization. CoRR abs/1911.04427 (2019) - 2018
- [j13]Ola Ahlqvist, Nayan Khodke, Rajiv Ramnath:
GeoGame analytics - A cyber-enabled petri dish for geographic modeling and simulation. Comput. Environ. Urban Syst. 67: 1-8 (2018) - [c74]Manirupa Das, Eric Fosler-Lussier, Simon M. Lin, Soheil Moosavinasab, David Chen, Steve Rust, Yungui Huang, Rajiv Ramnath:
Phrase2VecGLM: Neural generalized language model-based semantic tagging for complex query reformulation in medical IR. BioNLP 2018: 118-128 - [c73]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. ICWSM 2018: 375-384 - [i5]Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy:
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. CoRR abs/1804.00109 (2018) - [i4]Sobhan Moosavi, Arnab Nandi, Rajiv Ramnath:
Discovery of Driving Patterns by Trajectory Segmentation. CoRR abs/1804.08748 (2018) - 2017
- [c72]Sobhan Moosavi, Behrooz Omidvar-Tehrani, Rajiv Ramnath:
Trajectory Annotation by Discovering Driving Patterns. UrbanGIS@SIGSPATIAL 2017: 6:1-6:4 - [c71]Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Arnab Nandi, Rajiv Ramnath:
Characterizing Driving Context from Driver Behavior. SIGSPATIAL/GIS 2017: 46:1-46:4 - [i3]Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Rajiv Ramnath:
Annotation of Car Trajectories based on Driving Patterns. CoRR abs/1705.05219 (2017) - [i2]Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Arnab Nandi, Rajiv Ramnath:
Characterizing Driving Context from Driver Behavior. CoRR abs/1710.05733 (2017) - 2016
- [c70]Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath:
Motivating dynamic features for resolution time estimation within IT operations management. IEEE BigData 2016: 2103-2108 - [c69]Kayhan Moharreri, Alhad Vinayak Sapre, Jayashree Ramanathan, Rajiv Ramnath:
Cost-Effective Supervised Learning Models for Software Effort Estimation in Agile Environments. COMPSAC Workshops 2016: 135-140 - [c68]Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath:
Probabilistic Sequence Modeling for Trustworthy IT Servicing by Collective Expert Networks. COMPSAC 2016: 379-389 - [c67]Sobhan Moosavi, Rajiv Ramnath, Arnab Nandi:
Discovery of driving patterns by trajectory segmentation. SIGSPATIAL PhD Symposium 2016: 4:1-4:4 - [c66]Renhao Cui, Gagan Agrawal, Rajiv Ramnath, Vinh Ngoc Khuc:
Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification. ICDM Workshops 2016: 1045-1052 - [c65]Gopi Krishna Tummala, Rupam Kundu, Prasun Sinha, Rajiv Ramnath:
Vision-track: vision based indoor tracking in anchor-free regions. HotWireless@MobiCom 2016: 49-53 - [c64]Gopi Krishna Tummala, Derrick Cobb, Prasun Sinha, Rajiv Ramnath:
Soft-swipe: enabling high-accuracy pairing of vehicles to lanes using COTS technology. CarSys@MobiCom 2016: 62-63 - 2015
- [c63]Manirupa Das, Renhao Cui, David R. Campbell, Gagan Agrawal, Rajiv Ramnath:
Towards methods for systematic research on big data. IEEE BigData 2015: 2072-2081 - [c62]Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath:
Recommendations for Achieving Service Levels within Large-scale Resolution Service Networks. COMPUTE 2015: 37-46 - [c61]Neelam Soundarajan, Swaroop Joshi, Rajiv Ramnath:
Collaborative and Cooperative-Learning in Software Engineering Courses. ICSE (2) 2015: 319-322 - [c60]Swaroop Joshi, Neelam Soundarajan, Rajiv Ramnath:
Conflict-Driven Cooperative-Learning in Computing Courses (Abstract Only). SIGCSE 2015: 685 - [c59]Manirupa Das, Micha Elsner, Arnab Nandi, Rajiv Ramnath:
TopChurn: Maximum Entropy Churn Prediction Using Topic Models Over Heterogeneous Signals. WWW (Companion Volume) 2015: 291-297 - [i1]Daniel S. Katz, Rajiv Ramnath:
Looking at Software Sustainability and Productivity Challenges from NSF. CoRR abs/1508.03348 (2015) - 2014
- [j12]Prasad Calyam, Sudharsan Rajagopalan, Sripriya Seetharam, Arunprasath Selvadhurai, Khaled Salah, Rajiv Ramnath:
VDC-Analyst: Design and verification of virtual desktop cloud resource allocations. Comput. Networks 68: 110-122 (2014) - [j11]Zhe Xu, Jay Ramanathan, Rajiv Ramnath:
Identifying Knowledge Brokers and Their Role in Enterprise Research through Social Media. Computer 47(3): 26-31 (2014) - [j10]Prasad Calyam, Alex Berryman, David Welling, Mohan Saravanan, Rajiv Ramnath, Jay Ramanathan:
VDPilot: feasibility study of hosting virtual desktops for classroom labs within a federated university system. Int. J. Cloud Comput. 3(2): 158-176 (2014) - [j9]Thomas Bitterman, Prasad Calyam, Alex Berryman, David E. Hudak, Lin Li, Alan Chalker, Steve Gordon, Da Zhang, Da Cai, Changpil Lee, Rajiv Ramnath:
Simulation as a service (SMaaS): a cloud-based framework to support the educational use of scientific software. Int. J. Cloud Comput. 3(2): 177-190 (2014) - [j8]Prasad Calyam, Manojprasadh Dhanapalan, Mukundan Sridharan, Ashok Krishnamurthy, Rajiv Ramnath:
Topology-Aware Correlated Network Anomaly Event Detection and Diagnosis. J. Netw. Syst. Manag. 22(2): 208-234 (2014) - [c58]Heesung Lee, Jay Ramanathan, Zahid Hossain, Praveen Kumar, Ben Weirwille, Rajiv Ramnath:
Enterprise Architecture Content Model Applied to Complexity Management While Delivering IT Services. IEEE SCC 2014: 408-415 - [c57]Jayashree Ramanathan, Zhe Xu, Ramiya Venkatachalam, Rajiv Ramnath, R. Bruce Craig, Tara Paider:
Social Network Observatory for Innovation in Enterprise-Employee Engagement. BDCloud 2014: 441-448 - [c56]Sundeep Kambhampati, Jaimie Kelley, Christopher Stewart, William C. L. Stewart, Rajiv Ramnath:
Managing Tiny Tasks for Data-Parallel, Subsampling Workloads. IC2E 2014: 225-234 - 2013
- [j7]Jay Ramanathan, Rajiv Ramnath:
Stakeholder Ontology and Mining for Improving Complex Services. Int. J. Inf. Syst. Serv. Sect. 5(2): 65-79 (2013) - [c55]Prasad Calyam, Shweta Kulkarni, Alex Berryman, Kunpeng Zhu, Mukundan Sridharan, Rajiv Ramnath, Gordon Springer:
OnTimeSecure: Secure middleware for federated Network Performance Monitoring. CNSM 2013: 100-104 - [c54]Chenjie Wei, Heesung Lee, Luke Molnar, Michael Herold, Rajiv Ramnath, Jay Ramanathan:
Assisted Human-in-the-Loop Adaptation of Web Pages for Mobile Devices. COMPSAC 2013: 118-123 - [c53]Laura Housley, Thomas Lynch, Rajiv Ramnath, Peter F. Rogers, Jayashree Ramanathan:
Implementation Considerations in Enabling Visually Impaired Musicians to Read Sheet Music Using a Tablet. COMPSAC 2013: 678-683 - [c52]Abhishek Dharmapurikar, Benjamin J. R. Wierwille, Jayashree Ramanathan, Rajiv Ramnath:
Impact-Driven Regression Test Selection for Mainframe Business Systems. ENASE (Selected Papers) 2013: 203-217 - [c51]Jayashree Ramanathan, Rajiv Ramnath, Michael J. Herold, Benjamin J. R. Wierwille:
Innovation-directed experiential learning using service blueprints. FIE 2013: 1406-1412 - [c50]Jayashree Ramanathan, Rajiv Ramnath, Michael J. Herold, Benjamin J. R. Wierwille:
An Agile Translation Process for complex innovations: An Industry/University Cooperative Research Center case study. FIE 2013: 1532-1538 - [c49]Prasad Calyam, Sudharsan Rajagopalan, Arunprasath Selvadhurai, Mohan Saravanan, Aishwarya Venkataraman, Alex Berryman, Rajiv Ramnath:
Leveraging OpenFlow for resource placement of virtual desktop cloud applications. IM 2013: 311-319 - [c48]Piyush Diwan, Patricia Carey, Eric Franz, Yixue Li, Thomas Bitterman, David E. Hudak, Rajiv Ramnath:
Applying software product line engineering in building web portals for supercomputing services. SAC 2013: 1765-1771 - [c47]Wei Chen, Eric Fosler-Lussier, Ningchuan Xiao, Satyajeet Raje, Rajiv Ramnath, Daniel Z. Sui:
A Synergistic Framework for Geographic Question Answering. ICSC 2013: 94-99 - 2012
- [j6]Prasad Calyam, Prashanth Chandrasekaran, Gregg Trueb, Nathan Howes, Rajiv Ramnath, Delei Yu, Ying Liu, Lixia Xiong, Daoyan Yang:
Multi-Resolution Multimedia QoE Models for IPTV Applications. Int. J. Digit. Multim. Broadcast. 2012: 904072:1-904072:13 (2012) - [c46]Hareendra Manuru, Rajagopal Vasudevan, Ashok Sasidharan, Thomas Lynch, Seth Darbyshire, Satyajeet Raje, Rajiv Ramnath, Jayashree Ramanathan:
Implementation and Evaluation of Commodity Hardware and Software in an Open World Spoken Dialog Framework. COMPSAC 2012: 369 - [c45]Satyajeet Raje, Chowdary Davuluri, Michael A. Freitas, Rajiv Ramnath, Jay Ramanathan:
Using Semantic Web Technologies for RBAC in Project-Oriented Environments. COMPSAC 2012: 521-530 - [c44]Michael J. Herold, Thomas D. Lynch, Rajiv Ramnath, Jayashree Ramanathan:
Student and instructor experiences in the inverted classroom. FIE 2012: 1-6 - [c43]Vinh Ngoc Khuc, Chaitanya Shivade, Rajiv Ramnath, Jay Ramanathan:
Towards building large-scale distributed systems for twitter sentiment analysis. SAC 2012: 459-464 - [c42]Chenjie Wei, Chiu Ni Wang, Rajiv Ramnath, Jay Ramanathan:
Examining the practical challenges of an Augmented Reality cyber-infrastructure framework. SAC 2012: 531-536 - [c41]Satyajeet Raje, Chowdary Davuluri, Michael A. Freitas, Rajiv Ramnath, Jay Ramanathan:
Using ontology-based methods for implementing role-based access control in cooperative systems. SAC 2012: 763-764 - 2011
- [j5]Prasad Calyam, Rohit Patali, Alex Berryman, Albert M. Lai, Rajiv Ramnath:
Utility-directed resource allocation in virtual desktop clouds. Comput. Networks 55(18): 4112-4130 (2011) - [c40]Shweta Deshpande, Joe Bolinger, Thomas D. Lynch, Michael Herold, Rajiv Ramnath, Jayashree Ramanathan:
Teaching students software engineering practices for micro-teams. FIE 2011: 1 - [c39]Thomas D. Lynch, Michael Herold, Joe Bolinger, Shweta Deshpande, Thomas Bihari, Jayashree Ramanathan, Rajiv Ramnath:
An agile boot camp: Using a LEGO®-based active game to ground agile development principles. FIE 2011: 1 - [c38]Christopher Dean, Thomas D. Lynch, Rajiv Ramnath:
Student perspectives on learning through developing software for the real world. FIE 2011: 3 - [c37]Joe Bolinger, Michael Herold, Rajiv Ramnath, Jayashree Ramanathan:
Connecting reality with theory - An approach for creating integrative industry case studies in the software engineering curriculum. FIE 2011: 4 - [c36]Michael Herold, Aaron Ganci, Bruno Ribeiro, Rajiv Ramnath, R. Brian Stone:
Work in progress - Computer science perspectives on integration with human-centered design. FIE 2011: 4 - [c35]Thomas Bihari, Igor Malkiman, Moez Chaabouni, Joe Bolinger, Jay Ramanathan, Rajiv Ramnath, Michael Herold:
Enabling scalability, richer experiences and ABET-accreditable learning outcomes in computer science Capstone courses through inversion of control. FIE 2011: S1 - [c34]Zoya Ali, Joseph Bolinger, Michael Herold, Thomas D. Lynch, Jay Ramanathan, Rajiv Ramnath:
Teaching object-oriented software design within the context of software frameworks. FIE 2011: S3 - [c33]Michael Herold, Joe Bolinger, Rajiv Ramnath, Thomas Bihari, Jay Ramanathan:
Providing end-to-end perspectives in software engineering. FIE 2011: S4 - [c32]Yingxiao Xu, Jay Ramanathan, Rajiv Ramnath, Nisheet Singh, Shubhanan Deshpande:
Reuse by Placement: A Paradigm for Cross-Domain Software Reuse with High Level of Granularity. ICSR 2011: 69-77 - [c31]Xi Ju, Hongwei Zhang, Wenjie Zeng, Mukundan Sridharan, Jing Li, Anish Arora, Rajiv Ramnath, Yufeng Xin:
LENS: resource specification for wireless sensor network experimentation infrastructures. WiNTECH 2011: 35-42 - [c30]Jay Ramanathan, Rajiv Ramnath, Nisheet Singh, Zhe Xu, Yingxiao Xu:
Sense-respond cloud mediator architecture for services evolution. SAC 2011: 162-169 - [c29]Chaitanya Shivade, Farha Mukri, Rajiv Ramnath, Jay Ramanathan:
Method for continuous generation of Component Business Model heat map using execution data for a complex service enterprise. SOSE 2011: 241-250 - 2010
- [c28]Jay Ramanathan, Rajiv Ramnath, Joe Bolinger, Praveen Nagarajan:
Stakeholder-Driven Enterprise Process Model for Complex Services Adaptation. CENTERIS (2) 2010: 83-96 - [c27]Joe Bolinger, Jay Ramanathan, Rajiv Ramnath:
BlackTie: Injecting elements of formality into enterprise social software. CTS 2010: 36-45 - [c26]Yongzheng Wu, Roland H. C. Yap, Rajiv Ramnath:
Comprehending module dependencies and sharing. ICSE (2) 2010: 89-98 - [c25]Mukundan Sridharan, Wenjie Zeng, William Leal, Xi Ju, Rajiv Ramnath, Hongwei Zhang, Anish Arora:
From Kansei to KanseiGenie: Architecture of Federated, Programmable Wireless Sensor Fabrics. TRIDENTCOM 2010: 155-165
2000 – 2009
- 2009
- [c24]Jayashree Ramanathan, Rajiv Ramnath, Sreeram Ramakrishnan:
Achieving 'handoff' traceability of complex system improvement. CASE 2009: 641-646 - [c23]Greg Horvath, Joe Bolinger, Jay Ramanathan, Rajiv Ramnath:
Document-centric collaborative spaces for increased traceability in knowledge-intensive processes. CTS 2009: 400-407 - [c22]Vasudha Gupta, Farha Mukri, Jay Ramanathan, Rajiv Ramnath, Kelly Yackovich:
CitiScape Architecture for eGovernment Effectiveness. HICSS 2009: 1-10 - [c21]Geraldine Kwang, Roland H. C. Yap, Terence Sim, Rajiv Ramnath:
An Usability Study of Continuous Biometrics Authentication. ICB 2009: 828-837 - [c20]Jay Ramanathan, Rajiv Ramnath, Randall Glassgow:
The people, the process or the technology?: Using the ACE framework to make tradeoffs in service delivery improvement. SAC 2009: 259-264 - [c19]Joe Bolinger, Greg Horvath, Jay Ramanathan, Rajiv Ramnath:
Collaborative workflow assistant for organizational effectiveness. SAC 2009: 273-280 - [c18]Vinod Kulathumani, Rajiv Ramnath, Jay Ramanathan:
Workshop on Integrating the Edge with the Enterprise for Planning and Management (EDGE). WETICE 2009: 155 - [c17]Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu:
A Framework for Improving Enterprise Services by Mining Customer Edge Data. WETICE 2009: 156-161 - 2008
- [c16]Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath:
Enterprise Interaction Ontology for Change Impact Analysis of Complex Systems. APSCC 2008: 303-309 - [c15]Rajiv Ramnath, Vasudha Gupta, Jay Ramanathan:
RED-Transaction and Goal-Model Based Analysis of Layered Security of Physical Spaces. COMPSAC 2008: 679-685 - [c14]Felix Halim, Rajiv Ramnath, Sufatrio, Yongzheng Wu, Roland H. C. Yap:
A Lightweight Binary Authentication System for Windows. IFIPTM 2008: 295-310 - [c13]Rajiv Ramnath, Jay Ramanathan:
Integrating goal modeling and execution in adaptive complex enterprises. SAC 2008: 532-539 - [c12]Umesh Bellur, Rajiv Ramnath:
Special track on Autonomic Computing: editorial message. SAC 2008: 1651 - [c11]Mukundan Sridharan, Sandip Bapat, Rajiv Ramnath, Anish Arora:
Implementing an autonomic architecture for fault-tolerance in a wireless sensor network testbed for at-scale experimentation. SAC 2008: 1670-1676 - 2007
- [c10]Krista M. Dombroviak, Rajiv Ramnath:
A taxonomy of mobile and pervasive applications. SAC 2007: 1609-1615 - 2006
- [j4]Anish Arora, Emre Ertin, Rajiv Ramnath, Mikhail Nesterenko, William Leal:
Kansei: A High-Fidelity Sensing Testbed. IEEE Internet Comput. 10(2): 35-47 (2006) - [c9]Rajiv Ramnath:
Global Software Development for the Enterprise. COMPSAC (1) 2006: 57-58 - [c8]Emre Ertin, Anish Arora, Rajiv Ramnath, Vinayak Naik, Sandip Bapat, Vinod Kulathumani, Mukundan Sridharan, Hongwei Zhang, Hui Cao, Mikhail Nesterenko:
Kansei: a testbed for sensing at scale. IPSN 2006: 399-406 - [c7]Rajiv Ramnath, Sufatrio, Roland H. C. Yap, Yongzheng Wu:
WinResMon: A Tool for Discovering Software Dependencies, Configuration, and Requirements in Microsoft Windows. LISA 2006: 175-186 - [c6]Mukundan Sridharan, Rajiv Ramnath, Emre Ertin, Anish Arora:
Mobility centric campus area sensor network for locality specific applications. SenSys 2006: 371-372 - 2005
- [j3]Rajiv Ramnath, David Landsbergen:
IT-enabled sense-and-respond strategies in complex public organizations. Commun. ACM 48(5): 58-64 (2005) - [c5]Anish Arora, Rajiv Ramnath, Prasun Sinha, Emre Ertin, Sandip Bapat, Vinayak Naik, Vinod Kulathumani, Hongwei Zhang, Mukundan Sridharan, Santosh Kumar, Hui Cao, Nick Seddon, Chris Anderson, Ted Herman, Chen Zhang, Nishank Trivedi, Mohamed G. Gouda, Young-ri Choi, Mikhail Nesterenko, Romil Shah, Sandeep S. Kulkarni, Mahesh Aramugam, Limin Wang, David E. Culler, Prabal Dutta, Cory Sharp, Gilman Tolle, Mike Grimmer, Bill Ferriera, Ken Parker:
Project ExScal (Short Abstract). DCOSS 2005: 393-394 - [c4]Thomas Mampilly, Rajiv Ramnath, Shahrukh A. Irani:
PFAST: an eclipse-based integrated tool workbench for facilities design. eTX 2005: 80-84 - [c3]Anish Arora, Rajiv Ramnath, Emre Ertin, Prasun Sinha, Sandip Bapat, Vinayak Naik, Vinod Kulathumani, Hongwei Zhang, Hui Cao, Mukundan Sridharan, Santosh Kumar, Nick Seddon, Chris Anderson, Ted Herman, Nishank Trivedi, Chen Zhang, Mikhail Nesterenko, Romil Shah, Sandeep S. Kulkarni, Mahesh Aramugam, Limin Wang, Mohamed G. Gouda, Young-ri Choi, David E. Culler, Prabal Dutta, Cory Sharp, Gilman Tolle, Mike Grimmer, Bill Ferriera, Ken Parker:
ExScal: Elements of an Extreme Scale Wireless Sensor Network. RTCSA 2005: 102-108
1990 – 1999
- 1998
- [c2]John Barry, Manuel Aparicio IV, Timothy Durniak, Peter Herman, Jagan Karuturi, Charles Woods, Charles Gilman, Herman Lam, Rajiv Ramnath:
NIIIP-SMART: an investigation of distributed object approaches to support MES development and deployment in a virtual enterprise. EDOC 1998: 366-377 - 1992
- [j2]Prabha Gopinath, Rajiv Ramnath, Karsten Schwan:
Data base design for real-time adaptations. J. Syst. Softw. 17(2): 155-167 (1992)
1980 – 1989
- 1988
- [j1]Karsten Schwan, Rajiv Ramnath, Sridhar Vasudevan, David M. Ogle:
A Language and System for the Construction and Tuning of Parallel Programs. IEEE Trans. Software Eng. 14(4): 455-471 (1988) - 1987
- [c1]Karsten Schwan, Rajiv Ramnath, Sridhar Vasudevan, David M. Ogle:
A System for Parallel Programming. ICSE 1987: 270-285
Coauthor Index
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