Rajiv Ramnath

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 63

Top Venues

Publications

Noushin Behboudi, Sobhan Moosavi, Rajiv Ramnath
Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques. CoRR (2024)
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) (2024)
Biplob Biswas, Rajiv Ramnath
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data. CoRR (2024)
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 (2024)
Ahmad Mohammadshirazi, Ali Nosrati Firoozsalari, Mengxi Zhou, Dheeraj Kulshrestha, Rajiv Ramnath
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation. CoRR (2024)
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)
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)
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 (2024)
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)
Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi, Mohammad H. Rafiei, Rajiv Ramnath
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations. CoRR (2023)
Manikya Swathi Vallabhajosyula, Rajiv Ramnath
Towards Characterizing DNNs to Estimate Training Time using HARP (HPC Application Resource (runtime) Predictor. PEARC (2023)
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)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
End-to-End LU Factorization of Large Matrices on GPUs. PPoPP (2023)
Sobhan Moosavi, Rajiv Ramnath
Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels. CoRR (2023)
Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv Ramnath
Scalable Deep Metric Learning on Attributed Graphs. CSoNet (2023)
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)
Biplob Biswas, Renhao Cui, Rajiv Ramnath
Retrieval Based Response Letter Generation For a Customer Care Setting. NAACL-HLT (Industry Papers) (2022)
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)
Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
GPU Adaptive In-situ Parallel Analytics (GAP). PACT (2022)
Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath
Will there be a construction?: predicting road constructions based on heterogeneous spatiotemporal data. SIGSPATIAL/GIS (2022)
Mengxi Zhou, Rajiv Ramnath
A Structure-Focused Deep Learning Approach for Table Recognition from Document Images. COMPSAC (2022)
Apan Qasem, Hartwig Anzt, Eduard Ayguadé, Katharine 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)
Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath
Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data. CoRR (2022)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
Scaling and Selecting GPU Methods for All Pairs Shortest Paths (APSP) Computations. IPDPS (2022)
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)
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)
Xiang Li, Dong Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
Deep Graph Clustering with Random-walk based Scalable Learning. ASONAM (2022)
Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi
LocationTrails: a federated approach to learning location embeddings. ASONAM (2021)
Xiang Li, Ruoming Jin, Rajiv Ramnath, Gagan Agrawal
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets. CSoNet (2021)
Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. CoRR (2021)
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 (2021)
Yang Xia, Peng Jiang, Gagan Agrawal, Rajiv Ramnath
Scaling Sparse Matrix Multiplication on CPU-GPU Nodes. IPDPS (2021)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Constraint-embedded paraphrase generation for commercial tweets. ASONAM (2021)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets can tell: activity recognition using hybrid gated recurrent neural networks. Soc. Netw. Anal. Min. 10 (1) (2020)
Haoyuan Xing, Gagan Agrawal, Rajiv Ramnath
MoHA: a composable system for efficient in-situ analytics on heterogeneous HPC systems. SC (2020)
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)
Gopi Krishna Tummala, Tanmoy Das, Prasun Sinha, Rajiv Ramnath
SmartDashCam: automatic live calibration for DashCams. IPSN (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath
A Countrywide Traffic Accident Dataset. CoRR (2019)
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 (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets can tell: activity recognition using hybrid long short-term memory model. ASONAM (2019)
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)
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 (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Towards Successful Social Media Advertising: Predicting the Influence of Commercial Tweets. CoRR (2019)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath
Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model. CoRR (2019)
Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR (2019)
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)
Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR (2019)
Ola Ahlqvist, Nayan Khodke, Rajiv Ramnath
GeoGame analytics - A cyber-enabled petri dish for geographic modeling and simulation. Comput. Environ. Urban Syst. 67 (2018)
Sobhan Moosavi, Arnab Nandi, Rajiv Ramnath
Discovery of Driving Patterns by Trajectory Segmentation. CoRR (2018)
Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. ICWSM (2018)
Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. CoRR (2018)
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)
Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Arnab Nandi, Rajiv Ramnath
Characterizing Driving Context from Driver Behavior. SIGSPATIAL/GIS (2017)
Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Arnab Nandi, Rajiv Ramnath
Characterizing Driving Context from Driver Behavior. CoRR (2017)
Sobhan Moosavi, Behrooz Omidvar-Tehrani, Rajiv Ramnath
Trajectory Annotation by Discovering Driving Patterns. UrbanGIS@SIGSPATIAL (2017)
Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig, Rajiv Ramnath
Annotation of Car Trajectories based on Driving Patterns. CoRR (2017)
Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath
Probabilistic Sequence Modeling for Trustworthy IT Servicing by Collective Expert Networks. COMPSAC (2016)
Sobhan Moosavi, Rajiv Ramnath, Arnab Nandi
Discovery of driving patterns by trajectory segmentation. SIGSPATIAL PhD Symposium (2016)
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)
Gopi Krishna Tummala, Rupam Kundu, Prasun Sinha, Rajiv Ramnath
Vision-track: vision based indoor tracking in anchor-free regions. HotWireless@MobiCom (2016)
Kayhan Moharreri, Alhad Vinayak Sapre, Jayashree Ramanathan, Rajiv Ramnath
Cost-Effective Supervised Learning Models for Software Effort Estimation in Agile Environments. COMPSAC Workshops (2016)
Renhao Cui, Gagan Agrawal, Rajiv Ramnath, Vinh Ngoc Khuc
Ensemble of Heterogeneous Classifiers for Improving Automated Tweet Classification. ICDM Workshops (2016)
Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath
Motivating dynamic features for resolution time estimation within IT operations management. IEEE BigData (2016)
Neelam Soundarajan, Swaroop Joshi, Rajiv Ramnath
Collaborative and Cooperative-Learning in Software Engineering Courses. ICSE (2) (2015)
Manirupa Das, Renhao Cui, David R. Campbell, Gagan Agrawal, Rajiv Ramnath
Towards methods for systematic research on big data. IEEE BigData (2015)
Swaroop Joshi, Neelam Soundarajan, Rajiv Ramnath
Conflict-Driven Cooperative-Learning in Computing Courses (Abstract Only). SIGCSE (2015)
Daniel S. Katz, Rajiv Ramnath
Looking at Software Sustainability and Productivity Challenges from NSF. CoRR (2015)
Kayhan Moharreri, Jayashree Ramanathan, Rajiv Ramnath
Recommendations for Achieving Service Levels within Large-scale Resolution Service Networks. COMPUTE (2015)
Manirupa Das, Micha Elsner, Arnab Nandi, Rajiv Ramnath
TopChurn: Maximum Entropy Churn Prediction Using Topic Models Over Heterogeneous Signals. WWW (Companion Volume) (2015)
Zhe Xu, Jay Ramanathan, Rajiv Ramnath
Identifying Knowledge Brokers and Their Role in Enterprise Research through Social Media. Computer 47 (3) (2014)
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)
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 (2014)
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) (2014)
Sundeep Kambhampati, Jaimie Kelley, Christopher Stewart, William C. L. Stewart, Rajiv Ramnath
Managing Tiny Tasks for Data-Parallel, Subsampling Workloads. IC2E (2014)
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) (2014)
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) (2014)
Jayashree Ramanathan, Zhe Xu, Ramiya Venkatachalam, Rajiv Ramnath, R. Bruce Craig, Tara Paider
Social Network Observatory for Innovation in Enterprise-Employee Engagement. BDCloud (2014)
Wei Chen, Eric Fosler-Lussier, Ningchuan Xiao, Satyajeet Raje, Rajiv Ramnath, Daniel Z. Sui
A Synergistic Framework for Geographic Question Answering. ICSC (2013)
Jay Ramanathan, Rajiv Ramnath
Stakeholder Ontology and Mining for Improving Complex Services. Int. J. Inf. Syst. Serv. Sect. 5 (2) (2013)
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)
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)
Jayashree Ramanathan, Rajiv Ramnath, Michael J. Herold, Benjamin J. R. Wierwille
Innovation-directed experiential learning using service blueprints. FIE (2013)
Prasad Calyam, Shweta Kulkarni, Alex Berryman, Kunpeng Zhu, Mukundan Sridharan, Rajiv Ramnath, Gordon Springer
OnTimeSecure: Secure middleware for federated Network Performance Monitoring. CNSM (2013)
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)
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)
Abhishek Dharmapurikar, Benjamin J. R. Wierwille, Jayashree Ramanathan, Rajiv Ramnath
Impact-Driven Regression Test Selection for Mainframe Business Systems. ENASE (Selected Papers) (2013)
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)
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)
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)
Satyajeet Raje, Chowdary Davuluri, Michael A. Freitas, Rajiv Ramnath, Jay Ramanathan
Using Semantic Web Technologies for RBAC in Project-Oriented Environments. COMPSAC (2012)
Vinh Ngoc Khuc, Chaitanya Shivade, Rajiv Ramnath, Jay Ramanathan
Towards building large-scale distributed systems for twitter sentiment analysis. SAC (2012)
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 (2012)
Chenjie Wei, Chiu Ni Wang, Rajiv Ramnath, Jay Ramanathan
Examining the practical challenges of an Augmented Reality cyber-infrastructure framework. SAC (2012)
Michael J. Herold, Thomas D. Lynch, Rajiv Ramnath, Jayashree Ramanathan
Student and instructor experiences in the inverted classroom. FIE (2012)
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)
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)
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)
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)
Shweta Deshpande, Joe Bolinger, Thomas D. Lynch, Michael Herold, Rajiv Ramnath, Jayashree Ramanathan
Teaching students software engineering practices for micro-teams. FIE (2011)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rajiv Ramnath