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Book chapters

T Estrada, M Taufer. Challenges in Designing Scheduling Policies in Volunteer Computing. In C. Cerin and G. Fedak, Desktop Grid Computing. CRC Press. 2012 Link

Journal papers

J. Benson, H. A. Carrillo-Cabada, J. Wigdahl, S. Nemeth, S. Barriga, T. Estrada, P. Soliz, Transfer Learning for Diabetic Retinopathy. To appear in SPIE: Medical Imaging 2018.

B. Zhang, T. Estrada, P. Cicotti, P. Balaji, and M. Taufer. Enabling Scalable and Accurate Clustering of Distributed Ligand Geometries on Supercomputers. Journal of Parallel Computing (ParCo), 63: 38-60, 2017.

K. Benson, S. Schlachter, T. Estrada, M. Taufer, E. Cochran, and J. Lawrence, On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. Future Generation Computer Systems, 2013. (In Press)

T. Estrada, B. Zhang, P. Cicotti, R. Armen, and M. Taufer. Accurate Analysis of Large Datasets of Protein-ligand Binding Geometries using a Linear Clustering Method based on MapReduce. Computers in Biology and Medicine, 2012. Link

O. Rahaman, T. Estrada, D. Doren, M. Taufer, C. L. Brooks III, R.S. Armen: Evaluation of Several Two-Step Scoring Functions Based on Linear Interaction Energy, Effective Ligand Size, and Empirical Pair Potentials for Prediction of Protein-Ligand Binding Geometry and Free Energy. Journal of Chemical Information and Modeling, 2011. Link

T. Estrada, M. Taufer, and D.P. Anderson: Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC. Journal of Grid Computing, Vol: 7, Pages: 537554, 2009. Link

T. Estrada, O. Fuentes, and M. Taufer: A Distributed Evolutionary Method to Design Scheduling Policies for Volunteer Computing. ACM SIGMETRICS Performance Evaluation Review Journal, December 2008. Volume: 36, Issue: 3, Pages: 40 49 Link

Referred papers in conferences and workshops

X. Chen, J. Benson, and T. Estrada: Keybin: Key-based Binning for Distributed Clustering. In Proc. of IEEE Cluster Conference, 2017.

X. Chen, Q. Guan, X. Liang, L. Lo, S. Su, T. Estrada, J. Ahrens; Visualizing the Training of Convolutional Neural Networks Using Paraview, Workshop on Distributed Infrastructures for Deep Learning (DIDL), 2017

M. Perez-Arriaga, T. Estrada, and S. Abad-Mota: Table Interpretation and Extraction of Semantic Relationships to Synthesize Digital Documents. In Proc. of 7th International Conference on Data Science, Technology and Applications (DATA), 2017.

X. Chen and T. Estrada: Index Clustering: A map-reduce clustering approach using Numba. In Proc. of 7th International Conference on Data Science, Technology and Applications (DATA) 2017

J. Benson, T. Estrada, A. Rosenberg, and M. Taufer: Scheduling Matters: Area-Oriented Schedulers for Resource Management. In Proc. of 28th International Symposium on Computer Architecture and High Performance Computing, 2016.

T. R. Balasubramanian, and T. Estrada: Crowdlearning: A Framework for Collaborative and Personalized Learning. In Proc. 46th Frontiers in Education (FIE) Conference, 2016.

M. Perez-Arriaga, T. Estrada, and S. Abad-Mota: TAO: Automatic Table Detection and Extraction from PDF Documents. In Proc. of 29th International Florida Artificial Intelligence Research Society Conference, 2016. (runner up for best student paper)

T. Estrada, M. Wyatt, and M. Taufer: A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. In Proc. of 21st IEEE International Conference on Parallel and Distributed Systems, 2015.

B. Zhang, T. Estrada, P. Cicotti, P. Balaji, and M. Taufer. Accurate Scoring of Drug Conformations at the Extreme Scale. In Proceedings of 8th IEEE International Scalable Computing Challenge - Co-located with IEEE/ACM CCGrid, May 2015.

V. Pallipuram, T. Estrada, and M. Taufer. A Resource-selection Heuristic for High-performance and Cost-effective Workflow Execution on the Cloud. In Proceedings of the International Conference on Parallel Processing (ICPP), 2015, Beijing, China, Sept. 1-4, 2015

B. Zhang, T. Estrada, P. Cicotti, M. Taufer: Enabling in-situ data analysis for large protein folding trajectory datasets. 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Phoenix (Arizona) USA. (Acceptance rate: 114/541 (21.1%).

B. Zhang, T. Estrada, P. Cicotti, and M. Taufer. On Efficiently Capturing Scientific Properties in Distributed Big Data without Moving the Data - A Case Study in Distributed Structural Biology using MapReduce. In the Proceedings of the 16th IEEE International Conferences on Computational Science and Engineering, December 2013, Sydney, Australia.

T. Estrada, K. Pusecker, M. Torres, J. Cohoon, and M. Taufer. Benchmarking Gender Differences in Volunteer Computing Projects. In the Proceedings of the Third Workshop on Analyzing and Improving Collaborative eScience with Social Networks (eSoN). October 2013, Beijing, China.

M. Wezowicz, T. Estrada, S. Patel, and M. Taufer: Performance Dissection of a MD Code across CUDA and GPU Generations. In Proceedings of the 14th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-13), April 2013, Boston, Massachusetts, USA.

T. Estrada, M. Taufer. On the Effectiveness of Application-Aware Self-Management for Scientific Discovery in Volunteer Computing Systems. To appear In Proc. of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC-2012). November 2012, Salt Lake City, USA Program Link

T. Estrada, B. Zhang, P. Cicotti, R. Armen, M. Taufer. Reengineering high-throughput molecular datasets for scalable clustering using MapReduce. In Proc. of the 14th IEEE International Conference on High Performance Computing and Communications (HPCC-2012). June 20012, Liverpool, UK. Link

K. Benson, T. Estrada, M. Taufer, J. Lawrence, E. Cochran. On the Powerful Use of Simulations in the Quake-Catcher Network to Efficiently Position Low-cost Earthquake Sensors. In Proc. of the 7th IEEE International Conference on e-Science. November 2011, Stockholm, Sweden Link

T. Estrada and M. Taufer: Providing Application-Level QoS in Volunteer Computing. In the Proceedings of the 13th IEEE International Conference on High Performance Computing and Communications (HPCC-2011). September 2011, Banff, Canada. Link

T. Estrada, R. Armen, and M. Taufer: Automatic Selection of Near-Native Protein-Ligand Conformations using a Hierarchical Clustering and Volunteer Computing. In Proceedings of The 1st ACM International Conference on Bioinformatics and Computational Biology (ACM BCB), August 2010, Bufalo, USA. (Acceptance Rate: 37/136, 28%) Link

T. Estrada, K. Reed, and M. Taufer: Modeling Job Lifespan Delays in Volunteer Computing Projects. In Proceedings of to the 9th IEEE International Symposium on Cluster Computing and Grid (CCGrid), May 2009, Shanghai, China. (Acceptance Rate: 57/271, 21%) Link

T. Estrada, K. Reed, D. Anderson, and M. Taufer: EmBOINC: An Emulator for Performance Analysis of BOINC Projects. In Proceedings of the Third Workshop on Large-Scale, Volatile Desktop Grids (PCGrid'09) in conjunction with IPDPS'09, May 2009, Rome, Italy Link

J. Atlas, T. Estrada, K. Decker, and M. Taufer: Balancing Scientist Needs and Volunteer Preferences in Volunteer Computing using Constraint Optimization. In Proceedings of the International Conference on Computational Science (ICCS), May 2009,Baton Rouge, Louisiana, USA.

T. Estrada, O. Fuentes, and M. Taufer; A Distributed Evolutionary Method to Design Scheduling Policies for Volunteer Computing, In Proceedings of ACM Computing Frontiers 2008, May 2008, Ischia, Italy Link

M. Taufer, A. Kerstens, T. Estrada, D.A. Flores, and P.J. Teller, SimBA: a Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects, In Proceedings of the International Workshop on Principles of Advanced and Distributed Simulation 2007 (PADS'07) Link

M. Taufer, A. Kerstens, T. Estrada, D.A. Flores, R. Zamudio, P.J. Teller, R. Armen, and C.L. Brooks III, Moving Volunteer Computing towards Knowledge-Constructed, Dynamically-Adaptive Modeling and Scheduling, In Proceedings of the First Workshop on Large-Scale, Volatile Desktop Grids (PCGrid'07), in conjunction with IPDPS'07 March 2007 Link

T. Estrada, D. Flores, M. Taufer, P. Teller, A. Kerstens, and D. Anderson, The Effectiveness of Threshold-based Scheduling Policies in BOINC Projects, In Proceedings of the 2st IEEE International Conference on e-Science and Grid Technologies (eScience 2006) PDF

T. Estrada, A. Licon, and M. Taufer, CompPknots: a Framework for Parallel Prediction and Comparison of RNA Secondary Structures with Pseudoknots, In Proceedings of 1stWorkshop on High Performance Computing in Genomic, Proteomic and Transcriptomic, in conjunction with ISPA 2006 PDF

Trilce Estrada and Olac Fuentes, Identification of Stellar Population in Galactic Spectra using the Hierarchical Decision Ensemble, In proceedings of the 18th International Florida Artificial Intelligence Research Society Conference. 394-410 PDF Link

Trilce Estrada and Olac Fuentes, Identification of Stellar Population in Galactic Spectra using the Hierarchical Decision Ensemble, First Iberoamerican workshop for scientific applications

E. Terlevich, R. Terlevich, J. P. Torres-Papaqui, T. Estrada-Piedra, O. Fuentes, T. Solorio and S. Bressan, Computer Science approach to the stellar fabric of violent starforming regions in AGN, The Interplay among Black Holes, Stars and ISM in Galactic Nuclei, in Proceeding IAU Symposium PDF

Trilce Estrada, Juan Pablo Torres-Papaqui, Roberto Terlevich, Olac Fuentes, Elena Terlevich, Age determination of the nuclear stellar population of Active Galactic Nuclei using Locally Weighted Regression. Astronomical Society of the Pacific, Conference Series, vol. 314, 633-636 PDF

Referred Posters

T. Estrada, M. Taufer, and K. Reed, Performance Analysis of Volunteer Computing Traces, Poster in Proceedings of SC2007, ACM/IEEE Supercomputing 07 Poster

D. Flores, T. Estrada, M. Taufer, P. Teller, and A. Kerstens, SimBA: a Discrete Event Simulator for Performance Prediction of Volunteer Computing Projects, Poster in Proceedings of SC2006, ACM/IEEE Supercomputing 06 Poster

Trilce Estrada, Juan Pablo Torres-Papaqui, Roberto Terlevich, Olac Fuentes, Elena Terlevich, Age determination of the nuclear stellar population of Active Galactic Nuclei using Locally Weighted Regression. ADASS XIII Poster

Other

Trilce Estrada, On the effectiveness of application-aware self-management for scientific discovery in volunteer computing systems, PhD Dissertation, University of Delaware, Newark, DE, 2012 Link

Trilce Estrada, Identificacion de poblaciones estelares en espectros galacticos' Master thesis supervised by Olac Fuentes, INAOE, Mexico, 2004 PDF