An Efficient Social Network-Mobility Model for MANETs. - Rahul Ghosh; Aritra Das; Palaniandavar Venkateswaran; Salil Kumar Sanyal; Rabindranath Nandi (IWDC, 2005)

An Obstacle Based Realistic Ad-Hoc Mobility Model for Social Networks. - Palaniandavar Venkateswaran; Rahul Ghosh; Aritra Das; Salil Kumar Sanyal; Rabindranath Nandi (J. Networks, 2006)

Link layer multicasting with smart antennas: No client left behind. - Souvik Sen; Jie Xiong 001; Rahul Ghosh; Romit Roy Choudhury (ICNP, 2008)

Resilience in computer systems and networks. - Kishor S. Trivedi; Dong Seong Kim 001; Rahul Ghosh (ICCAD, 2009)

SmartGate: A MAC Protocol for Gateway Discovery in Clustered Ad-Hoc Networks. - Palaniandavar Venkateswaran; Pritam Som; Rahul Ghosh; Aritra Das; Subananda Hansda; Rabindranath Nandi (J. Networks, 2009)

Poster abstract: BeamCast: harnessing beamforming capabilities for link layer multicast. - Souvik Sen; Rahul Ghosh; Jie Xiong 001; Romit Roy Choudhury (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009)

End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach. - Rahul Ghosh; Kishor S. Trivedi; Vijay K. Naik; Dong Seong Kim 001 (PRDC, 2010)

A Hierarchical Model for Reliability Analysis of Sensor Networks. - Dong Seong Kim 001; Rahul Ghosh; Kishor S. Trivedi (PRDC, 2010)

Quantifying Resiliency of IaaS Cloud. - Rahul Ghosh; Francesco Longo 001; Vijay K. Naik; Kishor S. Trivedi (SRDS, 2010)

Power-performance trade-offs in IaaS cloud: A scalable analytic approach. - Rahul Ghosh; Vijay K. Naik; Kishor S. Trivedi (DSN Workshops, 2011)

A scalable availability model for Infrastructure-as-a-Service cloud. - Francesco Longo 001; Rahul Ghosh; Vijay K. Naik; Kishor S. Trivedi (DSN, 2011)

Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud. - Rahul Ghosh; Vijay K. Naik (IEEE CLOUD, 2012)

Analysis of bugs in Apache Virtual Computing Lab. - Flavio Frattini; Rahul Ghosh; Marcello Cinque; Andy J. Rindos; Kishor S. Trivedi (DSN, 2013)

Modeling and performance analysis of large scale IaaS Clouds. - Rahul Ghosh; Francesco Longo 001; Vijay K. Naik; Kishor S. Trivedi (Future Gener. Comput. Syst., 2013)

System resiliency quantification using non-state-space and state-space analytic models. - Rahul Ghosh; Dong Seong Kim 001; Kishor S. Trivedi (Reliab. Eng. Syst. Saf., 2013)

Performance Analysis for Large IaaS Clouds. - Rahul Ghosh; Francesco Longo 001; Kishor S. Trivedi (Large Scale and Big Data, 2014)

Scalable Analytics for IaaS Cloud Availability. - Rahul Ghosh; Francesco Longo 001; Flavio Frattini; Stefano Russo 001; Kishor S. Trivedi (IEEE Trans. Cloud Comput., 2014)

Stochastic Model Driven Capacity Planning for an Infrastructure-as-a-Service Cloud. - Rahul Ghosh; Francesco Longo 001; Ruofan Xia; Vijay K. Naik; Kishor S. Trivedi (IEEE Trans. Serv. Comput., 2014)

Analytical Modeling of Reactive Autonomic Management Techniques in IaaS Clouds. - Dario Bruneo; Francesco Longo 001; Rahul Ghosh; Marco Scarpa; Antonio Puliafito; Kishor S. Trivedi (CLOUD, 2015)

An SRN-Based Resiliency Quantification Approach. - Dario Bruneo; Francesco Longo 001; Marco Scarpa; Antonio Puliafito; Rahul Ghosh; Kishor S. Trivedi (Petri Nets, 2015)

A Scalable Approach for Context Based Complex Service Discovery. - Shruti Kunde; Rahul Ghosh; Tridib Mukherjee; Aditya Hegde 001; Varun Sharma (ICWS, 2015)

Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. - Vadlamani Srikrishna; Rahul Ghosh; Vadlamani Ravi; Kalyanmoy Deb (MIWAI, 2015)

SCoPe: A Decision System for Large Scale Container Provisioning Management. - Aditya Hegde 001; Rahul Ghosh; Tridib Mukherjee; Varun Sharma (CLOUD, 2016)

CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services. - Rahul Ghosh; Avantika Gupta; Soumi Chattopadhyay; Ansuman Banerjee; Koustuv Dasgupta (SCC, 2016)

QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments. - Rahul Ghosh; Aditya Ghose; Aditya Hegde 001; Tridib Mukherjee; Adrian Mos (ICSOC, 2016)

A novel deep learning architecture for sentiment classification. - Rahul Ghosh; Kumar Ravi 001; Vadlamani Ravi (RAIT, 2016)

Resiliency Quantification for Large Scale Systems: An IaaS Cloud Use Case. - Rahul Ghosh; Francesco Longo 001; Vijay K. Naik; Andrew J. Rindos; Kishor S. Trivedi (VALUETOOLS, 2016)

Intrusion detection in connected cars. - Roland E. Haas; Dietmar P. F. Möller; Prateek Bansal; Rahul Ghosh; Srikrishna S. Bhat (EIT, 2017)

CoMICon: A Co-Operative Management System for Docker Container Images. - Senthil Nathan; Rahul Ghosh; Tridib Mukherjee; Krishnaprasad Narayanan (IC2E, 2017)

An Approach for Resiliency Quantification of Large Scale Systems. - Francesco Longo 001; Rahul Ghosh; Vijay K. Naik; Andrew J. Rindos; Kishor S. Trivedi (SIGMETRICS Perform. Evaluation Rev., 2017)

ContAv: A Tool to Assess Availability of Container-Based Systems. - Stefano Sebastio; Rahul Ghosh; Avantika Gupta; Tridib Mukherjee (SOCA, 2018)

Spatio-temporal classification at multiple resolutions using multi-view regularization. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Varun Mithal; Vipin Kumar 001 (IEEE BigData, 2019)

EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud. - Varun Natu; Rahul Ghosh (COMAD/CODS, 2019)

Model-agnostic Methods for Text Classification with Inherent Noise. - Kshitij Tayal; Rahul Ghosh; Vipin Kumar 001 (COLING (Industry), 2020)

FINESSE: Fair Incentives for Enterprise Employees. - Soumi Chattopadhyay; Rahul Ghosh; Ansuman Banerjee; Avantika Gupta; Arpit Jain (RCIS, 2020)

Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Varun Mithal; Vipin Kumar 001 (SDM, 2020)

Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. - Morten Hagen; Piyush Arora; Rahul Ghosh; Dawn Thomas; Salil Rajeev Joshi (AIMLSystems, 2021)

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Ankush Khandelwal; David J. Mulla; Vipin Kumar 001 (IEEE BigData, 2021)

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (IEEE BigData, 2021)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

Retrospective study of deep learning to reduce noise in non-contrast head CT images. - Kelvin K. Wong; Jonathon S. Cummock; Yunjie He; Rahul Ghosh; John Volpi; Stephen T. C. Wong (Comput. Medical Imaging Graph., 2021)

Land Cover Mapping in Limited Labels Scenario: A Survey. - Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2021)

Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. - Rahul Ghosh; Xiaowei Jia; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (CoRR, 2021)

Weakly Supervised Classification Using Group-Level Labels. - Guruprasad Nayak; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2021)

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. - Rahul Ghosh; Arvind Renganathan; Ankush Khandelwal; Xiaowei Jia; Xiang Li; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2021)

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2021)

An Availability Analysis Approach for Deployment Configurations of Containers. - Stefano Sebastio; Rahul Ghosh; Tridib Mukherjee (IEEE Trans. Serv. Comput., 2021)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

Clustering augmented self-supervised learning: an application to land cover mapping. - Rahul Ghosh; Xiaowei Jia; Leikun Yin; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (SIGSPATIAL/GIS, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

Meta-Transfer Learning: An application to Streamflow modeling in River-streams. - Rahul Ghosh; Bangyan Li; Kshitij Tayal; Vipin Kumar 001; Xiaowei Jia (ICDM, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Kshitij Tayal; Xiang Li; Ankush Khandelwal; Xiaowei Jia; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (KDD, 2022)

Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. - Kshitij Tayal; Xiaowei Jia; Rahul Ghosh; Jared Willard; Jordan S. Read; Vipin Kumar 001 (SDM, 2022)

Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. - Kshitij Tayal; Arvind Renganathan; Rahul Ghosh; Xiaowei Jia; Vipin Kumar 001 (ICDM, 2023)

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. - Praveen Ravirathinam; Rahul Ghosh; Ke Wang; Keyang Xuan; Ankush Khandelwal; Hilary Dugan; Paul C. Hanson; Vipin Kumar 001 (SDM, 2023)

Probabilistic Inverse Modeling: An Application in Hydrology. - Somya Sharma; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2023)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. - Shaoming Xu; Ankush Khandelwal; Xiang Li; Xiaowei Jia; Licheng Liu; Jared Willard; Rahul Ghosh; Kelly Cutler; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (SDM, 2023)

Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. - Leikun Yin; Rahul Ghosh; Chenxi Lin; David Hale; Christoph Weigl; James Obarowski; Junxiong Zhou 001; Jessica Till; Xiaowei Jia; Troy Mao; Vipin Kumar 001; Zhenong Jin (CoRR, 2023)

Entity Aware Modelling: A Survey. - Rahul Ghosh; Haoyu Yang; Ankush Khandelwal; Erhu He; Arvind Renganathan; Somya Sharma; Xiaowei Jia; Vipin Kumar 001 (CoRR, 2023)

Uncertainty Quantification in Inverse Models in Hydrology. - Somya Sharma Chatterjee; Rahul Ghosh; Arvind Renganathan; Xiang Li; Snigdhansu Chatterjee; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2023)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. - Arvind Renganathan; Rahul Ghosh; Ankush Khandelwal; Vipin Kumar 001 (CoRR, 2023)

A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce. - Sayan Putatunda; Anwesha Bhowmik; Girish Thiruvenkadam; Rahul Ghosh (CoRR, 2023)

Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

Analogue Hawking Radiation as a Tunneling in a Two-Level PT-Symmetric System. - Bijan Bagchi; Rahul Ghosh; Sauvik Sen (Entropy, 2023)

Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. - Abhijnan Nath; Huma Jamil; Shafiuddin Rehan Ahmed; George Arthur Baker; Rahul Ghosh; James H. Martin; Nathaniel Blanchard; Nikhil Krishnaswamy (LREC/COLING, 2024)

From Connections to Conversions: Enhanced Product Knowledge Graph Embeddings for E-commerce Recommendations. - Abhishek Kulkarni; Sumit Kumar Dutta; Sivaram Prasad Mudunuri; Kamiya Motwani; Rahul Ghosh (ICDM (Workshops), 2024)

DE-ViT: State-Of-The-Art Vision Transformer Model for Early Detection of Alzheimer's Disease. - Anuvab Sen; Subhabrata Roy; Ariv Debnath; Gourav Jha; Rahul Ghosh (NCC, 2024)

Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Wallace McAliley; Michael S. Steinbach; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2024)

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. - Praveen Ravirathinam; Rahul Ghosh; Ankush Khandelwal; Xiaowei Jia; David J. Mulla; Vipin Kumar 001 (SDM, 2024)

Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles. - Abhijnan Nath; Huma Jamil; Shafiuddin Rehan Ahmed; George Baker; Rahul Ghosh; James H. Martin; Nathaniel Blanchard; Nikhil Krishnaswamy (CoRR, 2024)

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. - Praveen Ravirathinam; Ankush Khandelwal; Rahul Ghosh; Vipin Kumar 001 (CoRR, 2024)

Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. - Rahul Ghosh; Zac McEachran; Arvind Renganathan; Kelly Lindsay; Somya Sharma Chatterjee; Michael S. Steinbach; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2024)

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. - Shaoming Xu; Arvind Renganathan; Ankush Khandelwal; Rahul Ghosh; Xiang Li; Licheng Liu; Kshitij Tayal; Peter Harrington; Xiaowei Jia; Zhenong Jin; John Nieber; Vipin Kumar 001 (CoRR, 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)

Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. - Arvind Renganathan; Rahul Ghosh; Ankush Khandelwal; Vipin Kumar 001 (SDM, 2025)