Modeling and Assessment of Production Printing Workflows Using Petri Nets. - Raju N. Gottumukkala; Tong Sun 001 (Business Process Management, 2005)

MOLAR: adaptive runtime support for high-end computing operating and runtime systems. - Christian Engelmann; Stephen L. Scott; David E. Bernholdt; Narasimha Raju Gottumukkala; Chokchai Leangsuksun; Jyothish Varma; Chao Wang 056; Frank Mueller 001; Aniruddha G. Shet; P. Sadayappan (ACM SIGOPS Oper. Syst. Rev., 2006)

Reliability-aware resource allocation in HPC systems. - Narasimha Raju Gottumukkala; Chokchai Leangsuksun; Narate Taerat; Raja Nassar; Stephen L. Scott (CLUSTER, 2007)

Reliability of a System of k Nodes for High Performance Computing Applications. - Narasimha Raju Gottumukkala; Raja Nassar; Mihaela Paun; Chokchai Leangsuksun; Stephen L. Scott (IEEE Trans. Reliab., 2010)

Real-time information driven decision support system for evacuation planning. - Raju Gottumukkala; John Zachary; Baker Kearfott; Ramesh Kolluru (CogSIMA, 2012)

Real-Time Flu Monitoring System and Decision Informatics. - Sonya H. Y. Hsu; Ryan Benton; Raju N. Gottumukkala (HICSS, 2015)

Visual Analytics of Time Evolving Large-scale Graphs. - Raju N. Gottumukkala; Siva R. Venna; Vijay Raghavan 001 (IEEE Intell. Informatics Bull., 2015)

Supervised approach to rank predicted links using interestingness measures. - Murali K. Pusala; Ryan G. Benton; Vijay V. Raghavan 001; Raju N. Gottumukkala (BIBM, 2017)

Enabling Interactive Video Streaming for Public Safety Monitoring through Batch Scheduling. - Matin Hosseini; Mohsen Amini Salehi; Raju Gottumukkala (HPCC/SmartCity/DSS, 2017)

Distributed Real Time Link Prediction on Graph Streams. - Satya Katragadda; Raju Gottumukkala; Murali Pusala; Vijay Raghavan 001; Jessica Wojtkiewicz (IEEE BigData, 2018)

A Concept-Drift Based Predictive-Analytics Framework: Application for Real-Time Solar Irradiance Forecasting. - Jessica Wojtkiewicz; Satya Katragadda; Raju Gottumukkala (IEEE BigData, 2018)

Unsupervised Learning to Rank Aggregation using Parameterized Function Optimization. - Amirhossein Tavanaei; Raju Gottumukkala; Anthony S. Maida; Vijay V. Raghavan 001 (IJCNN, 2018)

Fault Tolerance of Real-time Video Streaming Protocols over SDN Networks. - Shailendra Gaikwad; Sana Tafleen; Raju Gottumukkala; Khalid Elgazzar (IWCMC, 2018)

Edge Computing for User-Centric Secure Search on Cloud-Based Encrypted Big Data. - Sahan Ahmad; S. M. Zobaed; Raju Gottumukkala; Mohsen Amini Salehi (HPCC/SmartCity/DSS, 2019)

ClustCrypt: Privacy-Preserving Clustering of Unstructured Big Data in the Cloud. - S. M. Zobaed; Sahan Ahmad; Raju Gottumukkala; Mohsen Amini Salehi (HPCC/SmartCity/DSS, 2019)

VAStream: A Visual Analytics System for Fast Data Streams. - Satya Katragadda; Raju Gottumukkala; Siva R. Venna; Nicholas G. Lipari; Shailendra Gaikwad; Murali Pusala; Jian Chen 032; Christoph W. Borst; Vijay Raghavan 001; Magdy A. Bayoumi (PEARC, 2019)

A Novel Data-Driven Model for Real-Time Influenza Forecasting. - Siva R. Venna; Amirhossein Tavanaei; Raju N. Gottumukkala; Vijay V. Raghavan 001; Anthony S. Maida; Stephen Nichols (IEEE Access, 2019)

Inception-inspired LSTM for Next-frame Video Prediction. - Matin Hosseini; Anthony S. Maida; Majid Hosseini; Raju N. Gottumukkala (CoRR, 2019)

Inception LSTM for Next-frame Video Prediction (Student Abstract). - Matin Hosseini; Anthony S. Maida; Majid Hosseini; Raju Gottumukkala (AAAI, 2020)

Detecting Low-Rate Replay-Based Injection Attacks on In-Vehicle Networks. - Satya Katragadda; Paul J. Darby; Andrew Roche; Raju Gottumukkala (IEEE Access, 2020)

Privacy-Preserving Clustering of Unstructured Big Data for Cloud-Based Enterprise Search Solutions. - S. M. Zobaed; Raju Gottumukkala; Mohsen Amini Salehi (CoRR, 2020)

A multi-modal sensor dataset for continuous stress detection of nurses in a hospital. - Seyedmajid Hosseini; Satya Katragadda; Ravi Teja Bhupatiraju; Ziad Ashkar; Christoph W. Borst; Kenneth Cochran; Raju Gottumukkala (CoRR, 2021)

Deep Multi-View Learning to Rank. - Guanqun Cao; Alexandros Iosifidis; Moncef Gabbouj; Vijay Raghavan 001; Raju Gottumukkala (IEEE Trans. Knowl. Data Eng., 2021)

EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. - Majid Hosseini; Fahad Sohrab; Raju Gottumukkala; Ravi Teja Bhupatiraju; Satya Katragadda; Jenni Raitoharju; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2022)

Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory. - Mohsen Riahi Alam; M. Hassan Najafi; Nima Taherinejad; Mohsen Imani; Raju Gottumukkala (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

One-Class Classification for Intrusion Detection on Vehicular Networks. - Jake Guidry; Fahad Sohrab; Raju Gottumukkala; Satya Katragadda; Moncef Gabbouj (SSCI, 2023)

Multimodal Stress Detection Using Facial Landmarks and Biometric Signals. - Majid Hosseini; Morteza Bodaghi; Ravi Teja Bhupatiraju; Anthony Maida; Raju Gottumukkala (CoRR, 2023)

Inception Recurrent Neural Network Architecture for Video Frame Prediction. - Matin Hosseini; Anthony Maida; Seyedmajid Hosseini; Raju Gottumukkala (SN Comput. Sci., 2023)

Anomalous Link Detection in Dynamically Evolving Scale-Free-Like Networked Systems. - Mehedi Hassan; Mehmet Engin Tozal; Vipin Swarup; Steven Noel; Raju Gottumukkala; Vijay Raghavan 001 (SysCon, 2024)

A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection. - Morteza Bodaghi; Majid Hosseini; Raju Gottumukkala (CoRR, 2024)

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems. - Ali Mohammadjafari; Anthony S. Maida; Raju Gottumukkala (CoRR, 2024)

TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Leila Gheisi; Henry Chu; Raju Gottumukkala; Yan Luo 002; Xingquan Zhu 001; Mengyu Wang 001; Min Shi 001 (CoRR, 2024)

Detecting Anomalous Communication Behaviors in Dynamically Evolving Networked Systems. - Mehedi Hassan; Mehmet Engin Tozal; Vipin Swarup; Steven Noel; Raju Gottumukkala; Vijay Raghavan 001 (IEEE Trans. Inf. Forensics Secur., 2025)

UL-DD: A Multimodal Drowsiness Dataset Using Video, Biometric Signals, and Behavioral Data. - Morteza Bodaghi; Majid Hosseini; Raju Gottumukkala; Ravi Teja Bhupatiraju; Iftikhar Ahmad 001; Moncef Gabbouj (CoRR, 2025)