Praveen Rao's Webpage - Publications

2026

Polycarp Nalela, Deepthi Rao, and Praveen Rao - Explainable Artificial Intelligence for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the MSK-MET Dataset. In Journal of Medical Internet Research (JMIR) Cancer, 27 pages, 2026. (to appear)
Abdulkadir Korkmaz and Praveen Rao - Fast and Secure Selective Homomorphic Encryption for Federated Learning. In 23rd IEEE Consumer Communications & Networking Conference (CCNC), 4 pages, Las Vegas, 2026. (PDF) (to appear)

2025

Ajay Kumar, Praveen Rao, and Peter Sanders - Optimizing the Variant Calling Pipeline Execution on Human Genomes Using GPU-Enabled Machines. In Companion Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB Companion '25), 10 pages, Philadelphia, 2025. (PDF)
Abdulkadir Korkmaz, Timoteo Kelly, and Praveen Rao - Benchmarking Defense Techniques for Securing Large Language Models. In 53rd Annual Applied Imagery Pattern Recognition Workshop (AIPR 25), Washington D.C., 2025. (to appear)
Hulayyil Alshammari and Praveen Rao - Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek-Generated Text. In 7th International Workshop on Artificial Intelligence and Education (WAIE 2025), 9 pages, Yokohama, Japan. (to appear)
Jacob Thomas, Jamie Hall, Rebecca Bliss, Emily Leary, Stephen Sayers, Praveen Rao, and Trent Guess - A Machine Learning Approach to Concussive Group Classification Using Discrete Outcome Measures from a Low-Cost Movement-Based Assessment System. In Medical Engineering and Physics Journal, Elsevier, 104402, 2025. (online)
Zhandi Liu, Mirna Becevic, Amy Braddock, Mihai Popescu, Eduardo J. Simoes, and Praveen Rao - An Empirical Evaluation of Deep Learning Techniques for Clinical Video Retrieval. In 8th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2025), 8 pages, San Jose, CA. (PDF) (to appear)
Sonia Akter, Zhandi Liu, Eduardo Simoes, and Praveen Rao - Using Machine Learning and Electronic Health Record (EHR) Data for the Early Prediction of Alzheimer's Disease and Related Dementias. In Journal of Prevention of Alzheimer's Disease (JPAD), Volume 12, Issue 7, 10 pages, Elsevier, 2025. (online)
Nader Abdelnabi, Abdulmateen Adebiyi, Ahmad Alhonainy, Kushal Naha, Christos Papageorgiou, and Praveen Rao - Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models. In JCO Clinical Cancer Informatics Journal, Vol. 9, 11 pages, 2025. (online)
Olabode B. Ogundele, Butros Dahu, Praveen Rao, Xing Song, Timothy Haithcoat, Mutiyat Hameed, Douglas Burgess, Tracy Greever-Rice, and Mirna Becevic - Identifying High-Dose Opioid Prescription Risks using Machine Learning: A Focus on Socio-demographic Characteristics. In Journal of Opioid Management, Vol. 21, No. 2, pp. 149-62, 2025. (online)
Shivika Prasanna, Ajay Kumar, Deepthi Rao, Eduardo J. Simoes, and Praveen Rao - A Scalable Tool for Analyzing Genomic Variants of Humans Using Knowledge Graphs and Graph Machine Learning. In Frontiers in Big Data - Data Science, 19 pages, 2025. (PDF) (online)
Timoteo Kelly, Ahmad Alhonainy, and Praveen Rao - A Review of Secure Gradient Compression Techniques for Federated Learning in the Internet of Medical Things. In Springer's Federated Learning Systems - Towards Privacy-Preserving Distributed AI, Vol. 832, pages 63-85, 2025. (book chapter, online)

2024

Ahmad Tamim Hamad, Parshad Suthar, Katsiaryna Laziuk, Deepthi Rao, and Praveen Rao - Accurate Classification of Dysplasia in Inflammatory Bowel Disease Patients Using Deep Learning. In 2024 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2024), 7 pages, Houston, TX, 2024. (PDF) (to appear)
Shraboni Sarker, Ahmad Tamim Hamad, Hulayyil Alshammari, Viviana Grieco, and Praveen Rao - Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models. In 2024 ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2024), 5 pages, 2024. (PDF) (to appear)
Manas Das, Praveen Rao, and Lisong Xu - Impact of the Networking Infrastructure on the Performance of Variant Calling on Human Genomes in Commodity Clusters. In 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB 2024), 11 pages, Shenzhen, China, 2024. (PDF) (to appear)
Jamie B. Hall, Sonia Akter, Praveen Rao, Andrew Kiselica, Rylea Ranum, Jacob M. Thomas, Trent M. Guess - Feasibility of using a novel, multimodal motor function assessment platform with machine learning to identify individuals with mild cognitive impairment. In Alzheimer Disease and Associated Disorders Journal, 7 pages, 2024. (online)
Vladimir Omelyusik, Khawar Shehzad, Tyler Banks, Praveen Rao, and Satish Nair - On Scaling Neuronal Network Simulations Using Distributed Computing. In 11th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2024), 6 pages, Atlanta, 2024. (PDF) (to appear)
Khawar Shehzad, Ajay Kumar, Matthew Schutz, Chase Webb, Polycarp Nalela, Manas Das, and Praveen Rao - A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters. In 33rd ACM Conference on Information and Knowledge Management (CIKM 2024), 5 pages, Boise, 2024. (demo) (PDF)
Praveen Rao and Khawar Shehzad - A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs. In 17th IEEE International Conference on Cloud Computing (CLOUD 2024), 8 pages, Shenzhen, China. (PDF)
Abdulmateen Adebiyi, Puja Adhikari, Praveen Rao, and Wai-Yim Ching - Bond Strength Between Receptor Binding Domain of Spike Protein and Human Angiotensin Converting Enzyme-2 Using Machine Learning. In BME Horizon, 2(1), 12 pages, 2024. (online)
Haridimos Kondylakis, Kostas Stefanidis, and Praveen Rao - Report on the Fifth International Workshop on Health Data Management in the Era of AI (HeDAI 2023). In SIGMOD Record, Vol. 53, No. 2, pages 58-62, 2024. (online)
Abdulmateen Adebiyi, Praveen Rao, Jesse Hirner, Anya Anokhin, Emily Hoffman Smith, Eduardo J. Simoes, and Mirna Becevic - Comparison of Three Deep Learning Models in Accurate Classification of 770 Dermoscopy Skin Lesion Images. In Proc. of AMIA 2024 Informatics Summit, Boston, pages 46-53, 2024. (PDF) (online)
Olabode Ogundele, Xing Song, Praveen Rao, Tracy Greever-Rice, Sue Boren, Karen Edison, Douglas Burgess, and Mirna Becevic - Claims Data Analysis of Provider-to-Provider Tele-mentoring Program Impact on Opioid Prescribing in Missouri. In Journal of Opioid Management. (online)

2023

Nouf Alrasheed, Shraboni Sarker, Viviana Grieco, and Praveen Rao - Few-Shot Learning for Word Recognition in Handwritten Seventeenth-Century Spanish American Notary Records. In 5th ACM International Conference on Multimedia in Asia (MM Asia), 5 pages, Taiwan, 2023. (PDF) (DOI)
Manas Das, Khawar Shehzad, Praveen Rao - Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster. In 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 6 pages, Birmingham, UK, 2023. (PDF)
Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Othmane, Meng Yu, Vijay Anand, Bharat Bhargava, Brett Robertson, Kerk Kee, Patrice Buzzanell, Natalie Bolton, and Harsh Taneja - Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. In 52nd IEEE Applied Imagery and Pattern Recognition Workshop (AIPR), St. Louis, 8 pages, 2023. (DOI)
Ahmad Alhonainy and Praveen Rao - Evaluation of Federated Learning Techniques on Edge Devices Using Synthetic Medical Imaging Datasets. In 52nd IEEE Applied Imagery and Pattern Recognition Workshop (AIPR), St. Louis, 6 pages, 2023. (PDF)
Andrew Rommitti, Jiya Shetty, and Praveen Rao - Evaluating the Effectiveness of Synthetic Datasets for Dementia Diagnosis Using Deep Learning. In 52nd IEEE Applied Imagery and Pattern Recognition Workshop (AIPR), 5 pages, St. Louis, 2023. (PDF)
Huzaifa Khan, Abu Saleh Mohammad Mosa, Vyshnavi Paka, Md Kamruz Zaman Rana, Vasanthi Mandhadi, Soliman Islam, Hua Xu, James C. McClay, Sraboni Sarker, Praveen Rao, Russ Waitman - Mapping Clinical Documents to the Logical Observation Identifiers, Names and Codes (LOINC) Document Ontology using Electronic Health Record Systems Structured Metadata. In AMIA 2023 Annual Symposium, 9 pages, New Orleans.
Kostas Stefanidis, Haridimos Kondylakis, Praveen Rao - Special issue on Semantic Web Meets Health Data Management. In Semantic Web Journal, 14(5), 785-786, 2023. (editorial) (PDF)
Arun Zachariah and Praveen Rao - Video Retrieval for Everyday Scenes With Common Objects. In the Annual ACM International Conference on Multimedia Retrieval (ICMR 2023), 6 pages, Thessaloniki, Greece, 2023. (PDF)

2022

Abdulkadir Korkmaz, Ahmad Alhonainy, and Praveen Rao - An Evaluation of Federated Learning Techniques for Secure and Privacy-Preserving Machine Learning on Medical Datasets. In the 51st IEEE Annual Applied Imagery Pattern Recognition (AIPR) Workshop, 7 pages, Washington D.C., 2022. (PDF) (DOI)
James C. Spilsbury, Estefania Hernandez, Kimberly Kiley, Eleanor Gillerlane Hinkes, Shivika Prasanna, Nassim Shafiabadi, Praveen Rao, Satya S. Sahoo - Social Service Workers’ Use of Social Media to Obtain Client Information: Current Practices and Perspectives on a Potential Informatics Platform. In Journal of Social Service Research, 14 pages, 2022. (online)
Shivika Prasanna, Nouf Alrasheed, Parshad Suthar, Pooja Purushatma, Praveen Rao, and Viviana Grieco - KGSAR: A Knowledge Graph-Based Tool for Managing Spanish Colonial Notary Records. In the 21st International Semantic Web Conference (ISWC 2022), 4 pages, China, 2022. (demo) (PDF)
Puja Adhikari, Bahaa Jawad, Praveen Rao, Rudolf Podgornik, and Wai-Yim Ching - Delta Variant With P681R Critical Mutation Revealed by Ultra-large Atomic-scale Ab Initio Simulation: Implications for the Fundamentals of Biomolecular Interactions. In MPDI Viruses Journal, 14(3), 465, 19 pages, 2022. (PDF) (online)
Praveen Rao and Arun Zachariah - Enabling Large-Scale Human Genome Sequence Analysis on CloudLab. In IEEE INFOCOM Workshops: Computer and Networking Experimental Research using Testbeds (CNERT 2022), 2 pages, 2022. (DOI)
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi - Impact of COVID-19 Infection Among Myasthenia Gravis Patients-A Cerner Real-World DataTM Study. In BMC Neurology 22, 38, 2022. (DOI)
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi - Five Cases of Charcot-Marie-Tooth Disease With Positive COVID-19 Infection Reported Using Cerner Real-World DataTM. In Journal of Clinical Neuromuscular Disease, 23(3):169-170, March 2022.
Arun Zachariah, Praveen Rao, Brian Corn, and Dominique Davison - Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design. In 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) @ AAAI 2022, 4 pages. (PDF)
Khulud Alsultan, Mohamed Hamdalla, Sumitra Dey, Praveen Rao, and Ahmed Hassan - Scalable and Fast Characteristic Mode Analysis Using GPUs. In The Applied Computational Electromagnetics Society (ACES) Journal, 37(02), 156-167, 2022. (PDF)

2021

Nouf Alrasheed, Praveen Rao, and Viviana Grieco - Character Recognition of Seventeenth-Century Spanish American Notary Records Using Deep Learning. In Digital Humanities Quarterly (DHQ) Journal, Vol. 15, No. 4, 16 pages, 2021. (PDF) (online)
Praveen Rao, Arun Zachariah, Deepthi Rao, Peter Tonellato, Wesley Warren, and Eduardo Simoes - Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. In 30th ACM International Conference on Information and Knowledge Management (CIKM), pages 3388-3392, Australia, 2021. (PDF)(DOI) [Nominated for Best Short Paper Award]
Srini Bhagavan, Mohamed Gharibi and Praveen Rao - FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain. In 2021 IEEE International Conference on Big Data (Big Data), pages 4054-4063, 2021.
Mohamed Gharibi, Srini Bhagavan, and Praveen Rao - FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage. In 2021 IEEE International Conference on Big Data (Big Data), pages 4078-4083, 2021.
Haridimos Kondylakis, Kostas Stefanidis, and Praveen Rao - Report on the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020). In ACM SIGMOD Record, Vol. 50, No. 3, pages 32-35, 2021. (PDF)
Nouf Alrasheed, Shivika Prasanna, Ryan Rowland, Praveen Rao, Viviana Grieco, and Martin Wasserman - Evaluation of Deep Learning Techniques for Content Extraction in Spanish Colonial Notary Records. In 3rd Workshop on Structuring and Understanding of Multimedia Heritage Contents (SUMAC), co-located with ACM Multimedia 2021, pages 23-30, 2021. (PDF)
Khulud Alsultan, Ahmed Hassan, and Praveen Rao - Scalable Acceleration of Characteristic Mode Analysis Using Big Data Techniques. In 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, pp. 1887-1888, Singapore, 2021. (DOI)
Shivika Prasanna and Praveen Rao - A Data Science Perspective of Real-World COVID-19 Databases. Leveraging Artificial Intelligence in Global Epidemics, pages 133-163, Elsevier, 2021. (Editors: Gruenwald, Jain, Groppe) (DOI) (PDF)
Srini Bhagavan, Praveen Rao, and Thuan Ngo - C3HSB: A Transparent Supply Chain for Multi-cloud and Hybrid Cloud Assets Powered by Blockchain. In Proc. of 37th IEEE International Conference on Data Engineering Workshops (ICDEW), pages 100-103, 2021.
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi - A Cerner Real-World DataTM Study of Spinal Muscular Atrophy Patients With Positive COVID-19 Infection. In Journal of Clinical Neuromuscular Disease, 22(4), pages 239-240, 2021. (online version).
Suveen Angraal, Arun Zachariah, Raaisa Raaisa, Rohan Khera, Praveen Rao, Harlan M Krumholz, and John A Spertus - Evaluation of Internet-Based Crowdsourced Fundraising to Cover Health Care Costs in the United States. In JAMA Network Open, 4(1), 2021. (open access)
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi - Impact of COVID-19 Infection Among Hospitalized Amyotrophic Lateral Sclerosis Patients. In Journal of Clinical Neuromuscular Disease, Volume 22, Issue 3, pages 180-181, 2021. (online version)

2020

Arun Zachariah, Mohamed Gharibi, Praveen Rao - A Large-Scale Image Retrieval System for Everyday Scenes. In Proc. of the 2nd ACM International Conference on Multimedia in Asia (MM Asia 2020), 3 pages, Singapore. (demo) (PDF)
Nouf Alrasheed, Arun Zachariah, Shivika Prasanna, Deepthi Rao, and Praveen Rao - Deepfakes for Histopathology Images: Myth or Reality? In 49th Annual IEEE Applied Imagery Pattern Recognition (AIPR) Workshop 2020: Trusted Computing, Privacy, and Securing Multimedia, 7 pages, Washington, D.C., 2020. (to appear) (PDF)
Mohamed Gharibi and Praveen Rao - RefinedFed: A Refining Algorithm for Federated Learning. In 49th Annual IEEE Applied Imagery Pattern Recognition (AIPR) Workshop 2020: Trusted Computing, Privacy, and Securing Multimedia, 5 pages, Washington, D.C., 2020. (to appear) (PDF)
Srini Bhagavan, Praveen Rao, and Laurent Njilla - A Primer on Smart Contracts and Blockchains for Smart Cities. Handbook of Smart Cities: Smart Cities Infrastructure Ecosystem, pages 1-31, Springer, 2020. (Editor: Juan Carlos Augusto) (PDF) (DOI)
Haridimos Kondylakis, Kostas Stefanidis, Praveen Rao, Dave Parry - Report on the Second International Workshop on Semantic Web Meets Health Data Management (SWH 2019). In ACM SIGMOD Record, Vol. 49, No. 2, pages 59-62, June 2020. (PDF)
Arun Zachariah, Mohamed Gharibi, Praveen Rao - QIK: A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects. In Proc. of the Annual ACM International Conference on Multimedia Retrieval (ICMR 2020), pages 126-135, Dublin, Ireland. (PDF)
Mohamed Gharibi, Arun Zachariah, Praveen Rao - FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. In Frontiers in Big Data, Volume 3, 12 pages, 2020. (open access)
Praveen Rao, Srini Bhagavan, Laurent Njilla - A New Tool for Detecting Tampering of Big Data Programs. In Proc. of 2020 SPIE Defense + Commercial Sensing: Cyber Sensing Conference (11417), 10 pages, Anaheim, CA. (DOI) (PDF)
Daniel E. Lopez Barron, Praveen Rao, Deepthi Rao, Ossama Tawfik, Arun Zachariah - Large-Scale Storage of Whole Slide Images and Fast Retrieval of Tiles Using DRAM. In Proc. of 2020 SPIE Defense + Commercial Sensing: Big Data II: Learning, Analytics, and Applications Conference (11395), 6 pages, Anaheim, CA. (PDF)
Khulud Alsultan, Praveen Rao, Anthony Caruso, Ahmed Hassan - Scalable Characteristic Mode Analysis: Requirements and Challenges. In (NSF Sponsored) Large Scale Networking (LSN) Workshop on Huge Data: A Computing, Networking and Distributed Systems Perspective, 2 pages, Chicago, IL. (PDF)
Soumya Rao, Timothy Cox, Praveen Rao - Computational Challenges in Genomic Data Analyses. In (NSF Sponsored) Large Scale Networking (LSN) Workshop on Huge Data: A Computing, Networking and Distributed Systems Perspective, 2 pages, Chicago, IL. (PDF)

2019

Haridimos Kondylakis, Kostas Stefanidis, Praveen Rao - Report on the First International Workshop on Semantic Web Technologies for Health Data Management (SWH 2018). In ACM SIGMOD Record, Vol. 38, No. 3, pages 41-44, September 2019. (PDF)
Samaa Gazzaz, Praveen Rao - Extracting Meaningful Insights on City and Zone Levels Utilizing US Open Government Data. In the 3rd Workshop on Women in Web Data Science (WinDS) @ WWW 2019, pages 1279-1285, San Francisco, CA, 2019. (PDF)
Arun Zachariah, Praveen Rao, Anas Katib, Monica Senapati, Kobus Barnard - A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks. In Proc. of 35th IEEE International Conference on Data Engineering (ICDE), pages 1968-1971, Macau, China, 2019. (PDF)
Monica Senapati, Laurent Njilla, Praveen Rao - A Method for Scalable First-Order Rule Learning on Twitter Data. In Proc. of 35th IEEE International Conference on Data Engineering Workshops (ICDEW) , pages 274-277, Macau, China, 2019. (PDF)
Anas Katib, Praveen Rao, Kobus Barnard, Charles Kamhoua - Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks. In ACM Transactions on Knowledge Discovery from Data (TKDD), 13(2):14:1-14:40, 2019. (PDF)
Dig Vijay Kumar Yarlagadda, Praveen Rao, Deepthi Rao, Ossama Tawfik - A System for One-Shot Learning of Cervical Cancer Cell Classification in Histopathology Images. In Proc. of SPIE 10956, Medical Imaging 2019: Digital Pathology, 1095611, 6 pages, San Diego, CA. (PDF)

2018

Srini Bhagavan, Khulud Alsultan, Praveen Rao - The Case for Designing Data-Intensive Cloud-Based Healthcare Applications. In the 1st International Workshop on Semantic Web Technologies for Health Data Management (co-located with ISWC 2018), pages 1-6, Monterrey, CA. (PDF) (position paper)
Mohamed Gharibi, Praveen Rao, Nouf Alrasheed - RichRDF: A Tool for Enriching Food, Energy, and Water Datasets with Semantically Related Facts and Images. In the 17th International Semantic Web Conference (ISWC 2018), pages 1-4, Monterrey, CA. (PDF) (demo)
Mohammad Amin Kuhail, Spencer Cook, Joshua Neustrom, Praveen Rao - Teaching Parallel Programming with Active Learning. In Proc. of 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2018), pages 369-376, Vancouver, 2018. (PDF) (DOI)
Anirban Mondal, Praveen Rao, Sanjay Madria - Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities. In Handbook of Smart Cities, Software Services and Cyber Infrastructure, pages 81-113, Springer 2018. (Editors: M. Maheswaran & E. Badidi) (book chapter) (DOI)
Daniel Lopez Barron, Dig Vijay Yarlagadda, Praveen Rao, Ossama Tawfik, Deepthi Rao - Scalable Storage of Whole Slide Images and Fast Retrieval of Tiles Using Apache Spark. In Proc. SPIE 10581, Medical Imaging 2018: Digital Pathology, 1058113 (6 March 2018), 6 pages, Houston, TX, 2018. (PDF) (DOI)

2017

Fadhilah Kurnia Putri, Giltae Song, Joonho Kwon, Praveen Rao - DISPAQ: Distributed Profitable-Area Query from Big Taxi Trip Data. In Sensors, 17(10):2201, pages 1-42, 2017. (PDF)
Anas Katib, Praveen Rao, Vasil Slavov - A Tool for Efficiently Processing SPARQL Queries on RDF Quads. In the 16th International Semantic Web Conference (ISWC 2017), pages 1-4, Vienna, Austria. (PDF) (demo)
Praveen Rao, Charles Kamhoua, Laurent Njilla, Kevin Kwiat - Methods to Detect Cyberthreats on Twitter. In Surveillance in Action - Technologies for Civilian, Military and Cyber Surveillance, pages 333-350, Springer, 2017. (Editors: P. Karampelas & T. Bourlai) (book chapter) (PDF) (DOI)
Praveen Rao, Anas Katib, Kobus Barnard, Charles Kamhoua, Kevin Kwiat, Laurent Njilla - Scalable Score Computation for Learning Multinomial Bayesian Networks Over Distributed Data. In the AAAI 2017 Workshop on Distributed Machine Learning (DML 2017), pages 498-504, San Francisco, CA, 2017. (PDF)

2016

Praveen Rao, Anas Katib, Charles Kamhoua, Kevin Kwiat, Laurent Njilla - Probabilistic Inference on Twitter Data to Discover Suspicious Users and Malicious Content. In the 2nd IEEE International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec 2016), pages 407-414, Fiji, December 2016. (PDF)
Ardi Imawan, Fitri I. Indikawati, Joonho Kwon, Praveen Rao - Querying and Extracting Timeline Information from Road Traffic Sensor Data. In Sensors, Volume 16, No. 9, pages 1340-1376, 2016. (PDF)
Praveen Rao, Anas Katib, Daniel E. Barron Lopez - A Knowledge Ecosystem for the Food, Energy, and Water System. In the KDD 2016 Workshop on Data Science for Food, Energy and Water (DSFEW), San Francisco, 2016. (PDF)
Anas Katib, Vasil Slavov, Praveen Rao - RIQ: Fast Processing of SPARQL Queries on RDF Quadruples. In the Journal of Web Semantics (JWS), Vol. 37, pages 90-111, March 2016. (DOI) (PDF)
Dipali Pal, Praveen Rao, Vasil Slavov, Anas Katib - Fast Processing of Graph Queries on a Large Database of Small and Medium-Sized Data Graphs. In the Journal of Computer and System Sciences (JCSS), Vol. 82, Issue 6, pages 1112–1143, September 2016. (DOI) (PDF)
Anirban Mondal, Praveen Rao, Sanjay Madria - Mobile Computing, Internet of Things, and Big Data for Urban Informatics. In the 17th IEEE International on Mobile Data Management (MDM 2016), Porto, Portugal, 2016. (tutorial slides) (PDF)
Joonho Kwon, Praveen Rao - Semantic Processing of Road Traffic Data for Smart Cities. In IEEE Smart Cities Workshop: Crossing Discipline Boundaries for Smart Cities, Kansas City, MO, 2016. (short paper)

2015

Anas Katib, Deepthi Rao, Praveen Rao, Karen Williams, Jim Grant - A Prototype of a Novel Cell Phone Application for Tracking the Vaccination Coverage of Children in Rural Communities. In Computer Methods and Programs in Biomedicine (CMPB) journal, Volume 122, Issue 2, pages 215-228, 2015. (PDF)
Scott Campbell, Jay Pedersen, James C McClay, Praveen Rao, Dhundy Bastola, James Campbell - An Alternative Database Approach for Management of SNOMED CT and Improved Patient Data Queries. In the Journal of Biomedical Informatics (JBI), Volume 57, pages 350-357, 2015. (PDF)
Satya Sahoo, Praveen Rao - Provenance Analysis and RDF Query Processing: W3C PROV for Data Quality and Trust. In the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, 2015. (tutorial website)(slides)
Praveen Rao, Joonho Kwon, Sangjun Lee, L. Venkata Subramaniam - Advanced Big Data Management and Analytics for Ubiquitous Sensors. In International Journal of Distributed Sensor Networks, Vol. 2015, Article ID 174894, pages 1-1, 2015. (editorial)
Oswaldo Cuen-Tellez , Praveen Rao, Inés f. Vega-López - Towards Large-Scale Signal Data Processing using the MapReduce Model. In the 5° Congreso Internacional de computación México - Colombia XV Jornada Académica en Inteligencia Artificial Septiembre 24, 25 y 26 de 2015, Cartagena - Colombia. (PDF)

2014

Vasil Slavov, Anas Katib, Praveen Rao, Srivenu Paturi, Dinesh Barenkala - Fast Processing of SPARQL Queries on RDF Quadruples. In the Proceedings of the 17th International Workshop on the Web and Databases (WebDB 2014), Snowbird, UT, 2014. (PDF) (Workshop website) (tech report)
Vasil Slavov, Anas Katib, Praveen Rao - A Tool for Internet-Scale Cardinality Estimation of XPath Queries over Distributed Semistructured Data. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE 2014), Chicago, 2014. (demo) (PDF)
Vasil Slavov, Praveen Rao - A Gossip-Based Approach for Internet-Scale Cardinality Estimation of XPath Queries over Distributed Semistructured Data. The VLDB Journal, Volume 23, Issue 1, pages 51-76, 2014. (PDF) (Springer)

2013

Vasil Slavov, Praveen Rao, Srivenu Paturi, Tivakar Komara Swami, Michael Barnes, Deepthi Rao, Raghuvarun Palvai - A New Tool for Sharing and Querying of Clinical Documents Modeled Using HL7 Version 3 Standard. In Computer Methods and Programs in Biomedicine, Volume 112, Issue 3, December 2013, Pages 529–552. (PDF) (Elsevier)
Anas Katib, Deepthi Rao, Praveen Rao, Karen Williams - Jeev: A Low-Cost Cell Phone Application for Tracking the Vaccination Coverage of Children in Rural Communities. Proceedings of IEEE International Conference on Healthcare Informatics 2013 (ICHI 2013), pages 115-120, Philadephia, PA. (PDF)

2012

Vasil Slavov, Praveen Rao, Dinesh Barenkala, Srivenu Paturi - Performance of RDF Query Processing on the Intel SCC. Proceedings of the 6th Manycore Applications Research Community Symposium (MARC 2012), Toulouse, France, July 2012. (PDF)
Praveen Rao, Tivakar Komara Swami, Deepthi Rao, Michael Barnes, Swati Thorve, Prasad Natoo - A Software Tool for Large-Scale Sharing and Querying of Clinical Documents Modeled Using HL7 Version 3 Standard. Proceedings of the 2nd ACM International Health Informatics Symposium (IHI 2012), Miami, FL, Jan 2012. (PDF)

2011

Vasil Slavov, Praveen Rao - Towards Internet-Scale Cardinality Estimation of XPath Queries over Distributed XML Data. Proceedings of 6th International Workshop on Networking Meets Databases (NetDB 2011), Athens, Greece. (PDF)
Dipali Pal, Praveen Rao - A Tool For Fast Indexing and Querying of Graphs. Proceedings of 20th International World Wide Web Conference (WWW 2011), pages 241-244, Hyderabad, India. (demo) (PDF)

2010

Praveen Rao, Stanley Edlavitch, Jeffery Hackman, Timothy Hickman, Douglas McNair, Deepthi Rao - Towards Large-scale Sharing of Electronic Health Records of Cancer Patients. Proceedings of the 1st ACM International Health Informatics Symposium (IHI 2010), pages 545-549, Arlington, VA, Nov 2010. (PDF)

2009

Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee - Fast XML Document Filtering By Sequencing Twig Patterns. ACM Transactions on Internet Technologies (TOIT), Volume 9, Issue 4, Article 13, September 2009.
Bhavik Shah, Praveen Rao, Bongki Moon, Mohan Rajagopalan - A Data Parallel Algorithm for XML DOM Parsing. Proceedings of 6th International XML Database Symposium (XSym '09) , Lyon, France. (PDF)
Praveen Rao, Bongki Moon - Locating XML Documents in a Peer-to-Peer Network Using Distributed Hash Tables. IEEE Transactions on Knowledge and Data Engineering, (TKDE), Volume 21, No 12, pp 1737-1752, December 2009. (PDF)
Praveen Rao, Bongki Moon - An Internet-Scale Service for Publishing and Locating XML Documents. Proceedings of 25th IEEE International Conference on Data Engineering (ICDE '09) , Shanghai, China. (demo) (PDF)

2008

Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee - Value-based Predicate Filtering of XML Documents. Data and Knowledge Engineering (DKE), 67(1), pages 51-73, 2008. (PDF)

2007

Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee - Value-based Predicate Filtering of Streaming XML Documents. In Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07), pages 289-293, Seoul, South Korea, 2007.
Praveen Rao, Justin Cappos, Varun Khare, Bongki Moon, Beichuan Zhang - Net-X: Unified Data-Centric Internet Services. Third International Workshop on Networking Meets Databases (NetDB'07), Cambridge, MA, April 2007.
Vijay Kumar, Praveen Rao, Ali Hurson, and Sanjay Madria - Management of Sensor Networks via Graph Mining. Proceedings of the 3rd International Innovations and Real-time Applications of Distributed Sensor Networks Symposium (IRA-DSN '07), Shreveport, Louisiana.

2006

Praveen Rao, Bongki Moon - SketchTree: Approximate Tree Pattern Counts over Streaming Labeled Trees. Proceedings of the 22nd International Conference on Data Engineering (ICDE 2006), page 80, Atlanta, USA, April 2006. (PDF)
Praveen Rao, Bongki Moon - Sequencing XML Data and Query Twigs for Fast Pattern Matching. ACM Transactions On Database Systems (TODS), 31(1):299-345, March 2006. (PDF)
K. Barnard, A. Connolly, L. Denneau, A. Efrat, J.N. Heasley, R. Jedicke, J.M. Kubica, B. Moon, A. Moore, S. Morris, P. Rao. The LSST Moving Object Processing Pipeline. SPIE International Symposium for Astronomical Telescopes and Instrumentation, Orlando, Florida, 2006.
J. Kubica, T. Axelrod, K. Barnard, A. Connolly, L. Denneau, A. Efrat, J. Heasley, R. Jedicke, B. Moon, A. Moore, S. Morris, P. Rao. Efficiently Tracking Moving Sources in the LSST. The 207th meeting of the American Astronomical Association, 2006.

2005

Joonho Kwon, Praveen Rao, Bongki Moon, Sukho Lee - FiST: Scalable XML Document Filtering by Sequencing Twig Patterns. Proceedings of the 31th International Conference on Very Large Databases (VLDB 2005), pages 217-228, Trondheim, Norway, August-September 2005. (PDF)

2004

Praveen Rao, Bongki Moon - PRIX: Indexing and Querying XML using Prüfer Sequences. Proceedings of the 20th International Conference on Data Engineering (ICDE 2004), pages 288-300, Boston, USA, March 2004. (PDF)
Quanzhong Li, Praveen Rao, Bongki Moon - Indexing and Twig Query Processing for XML Data. Proceedings of 2004 International Conference on Internet Information Retrieval (IRC 2004), Goyang, Korea, November 2004.

2003

Xubin Zeng, Praveen Rao, R.S DeFries, M.C. Hansen - Interannual Variability and Decadal Trend of Global Fractional Vegetation from 1982 to 2000. Journal of Applied Meteorology, 2003, 42, pages 1525-1530. (PDF)

2001

Neelam Gupta, Praveen Rao - Program Execution based module cohesion measurement. 16th IEEE International Conference on Automated Software Engineering (ASE 01), San Diego, USA November 2001. (PDF) Best paper nomination

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