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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]