| 2025 | AIES | AI-OCI: A Novel Framework for Assessing AI's Workforce Impact Using LLMs. | Frederick Awuah-Gyasi, Trilce Estrada |
| 2025 | CCGRID | Scaling Laws for the Workload Throughput of Emerging Heterogeneous Clusters. | Akhil Alasandagutti, Joshua Suetterlein, Jesun Firoz, Stephen J. Young, Joseph B. Manzano, Jason R. Stewart, Patrick G. Bridges, Trilce Estrada, Kevin J. Barker |
| 2025 | HiPC | Grey-Box Machine Learning Prediction of Parallel Application Scaling. | Akhil Alasandagutti, Patrick G. Bridges, Trilce Estrada |
| 2023 | DaWaK | DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework. | Adnan Bashir, Trilce Estrada |
| 2023 | SIGCSE | NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. | Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel |
| 2021 | CLUSTER | A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. | Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall, Miron Livny |
| 2020 | ICCS | A Novel Metric to Evaluate In Situ Workflows. | Tu Mai Anh Do, Loc Pottier, Stephen Thomas, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman |
| 2019 | SC | Lightning Talks of EduHPC 2019. | William S. Monroe, Michael Witt, Maria Pantoja, Christopher Lupo, Anne C. Elster, Joel C. Adams, Mark C. Wissink, Hang Liu, Chunhua Liao, Raphael B. Yehezkael, Benjamin H. Glick, Ravi Tripathi, Brian Smith, Jens Mache, Trilce Estrada, Debzani Deb, Ujjal Bhowmik, Yuting Chen, Dong San Choi, Zuofu Cheng, Gladys K. Andino, Pete E. Pascuzzi, Mark Daniel Ward |
| 2018 | ICPP | KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. | Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer, Trilce Estrada |
| 2017 | CLUSTER | keybin: Key-Based Binning for Distributed Clustering. | Xinyu Chen, Jeremy Benson, Trilce Estrada |
| 2017 | DATA | Index Clustering: A Map-reduce Clustering Approach using Numba. | Xinyu Chen, Trilce Estrada |
| 2017 | DATA | Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. | Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota |
| 2017 | DATA | Construction of Semantic Data Models. | Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota |
| 2016 | FIE | Crowdlearning: A framework for collaborative and personalized learning. | Thilak R. Balasubramanian, Trilce Estrada |
| 2016 | FlAIRS | TAO: System for Table Detection and Extraction from PDF Documents. | Martha O. Perez-Arriaga, Trilce Estrada, Soraya Abad-Mota |
| 2016 | SBAC-PAD | Scheduling Matters: Area-Oriented Heuristic for Resource Management. | Jeremy Benson, Trilce Estrada, Arnold L. Rosenberg, Michela Taufer |
| 2015 | CCGRID | Accurate Scoring of Drug Conformations at the Extreme Scale. | Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer |
| 2015 | ICPADS | A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. | Trilce Estrada, Michael R. Wyatt II, Michela Taufer |
| 2015 | ICPP | A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. | Vivek K. Pallipuram, Trilce Estrada, Michela Taufer |
| 2014 | FIE | Gender and volunteer computing: A survey study. | Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer, Trilce Estrada |
| 2014 | ICDM | Time Series Join on Subsequence Correlation. | Abdullah Mueen, Hossein Hamooni, Trilce Estrada |
| 2012 | HPCC | Reengineering High-throughput Molecular Datasets for Scalable Clustering Using MapReduce. | Trilce Estrada, Boyu Zhang, Michela Taufer, Pietro Cicotti, Roger S. Armen |
| 2012 | SC | On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems. | Trilce Estrada, Michela Taufer |
| 2011 | HPCC | Providing Quality of Science in Volunteer Computing. | Trilce Estrada, Michela Taufer |
| 2011 | SC | Poster: study of protein-ligand binding geometries using a scalable and accurate octree-based algorithm in mapReduce. | Trilce Estrada, Boyu Zhang, Pietro Cicotti, Roger S. Armen, Michela Taufer |
| 2009 | CCGRID | Modeling Job Lifespan Delays in Volunteer Computing Projects. | Trilce Estrada, Michela Taufer, Kevin Reed |
| 2009 | ICCS | Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing Using Constraint Optimization. | James Atlas, Trilce Estrada, Keith Decker, Michela Taufer |
| 2007 | PADS | SimBA: A Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects. | Michela Taufer, Andre Kerstens, Trilce Estrada, David A. Flores, Patricia J. Teller |
| 2006 | ISPA | compPknots: A Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots. | Trilce Estrada, Abel Licon, Michela Taufer |
| 2006 | SC | Poster reception - SimBA: a discrete event simulator for performance prediction of volunteer computing projects. | David A. Flores, Trilce Estrada, Michela Taufer, Patricia J. Teller, Andre Kerstens |
| 2005 | FlAIRS | Identification of Stellar Population in Galactic Spectra Using the Hierarchical Desicion Ensemble. | Trilce Estrada, Olac Fuentes |