Manuel F. Dolz

96 papers B 3C 14Journal 58Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Assessing Modern Deep Vision Models for Chest X-Ray Diagnostics in Emergency Care. BIOSTEC (2) Ferran Soler-Guiral, Manuel F. Dolz, José Ignacio Aliaga, Katty Delgado-Barriga
2026	J	`jnl`	Cross-platform characterisation and performance analysis of homomorphic matrix multiplication. J. Supercomput. Franklin Espinoza, Justo Molina, Darwin Quezada-Gaibor, Sandra Catalán, Manuel F. Dolz
2026	J	`jnl`	Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training. CoRR Cristian Pérez-Corral, Alberto Fernández-Hernández, José I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
2026	J	`jnl`	When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic. CoRR Alberto Fernández-Hernández, Cristian Pérez-Corral, José I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
2026	J	`jnl`	Why Adam Works Better with β CoRR Alberto Fernández-Hernández, Cristian Pérez-Corral, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí
2026	J	`jnl`	λ-GELU: Learning Gating Hardness for Controlled ReLU-ization in Deep Networks. CoRR Cristian Pérez-Corral, Alberto Fernández-Hernández, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí
2025	—	`conf`	Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. EuroMLSys José Duato, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Cano
2025	J	`jnl`	Deep learning inference optimisation for IoT: Conv2D-ReLU-BN layer fusion and quantisation. J. Supercomput. José I. Mestre, Sergio Barrachina, Darwin Quezada, Manuel F. Dolz
2025	—	`conf`	Enhanced ROI Selection in Deep Learning Heatmaps: Refining Pathology Detection in Chest X-ray Imaging. FLLM Núria Moreno-Chamorro, Maribel Castillo, José Ignacio Aliaga, Manuel F. Dolz
2025	—	`ed.`	Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part I Euro-Par Workshops (1) Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth
2025	—	`ed.`	Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part II Euro-Par Workshops (2) Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth
2025	J	`jnl`	GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling. CoRR José I. Mestre, Alberto Fernández-Hernández, Cristian Pérez-Corral, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
2025	J	`jnl`	OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection. CoRR Alberto Fernández-Hernández, José I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
2025	J	`jnl`	Sinusoidal Initialization, Time for a New Start. CoRR Alberto Fernández-Hernández, José I. Mestre, Manuel F. Dolz, José Duato, Enrique S. Quintana-Ortí
2024	J	`jnl`	Automatic generation of ARM NEON micro-kernels for matrix multiplication. J. Supercomput. Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2024	J	`jnl`	Optimizing Convolutions for Deep Learning Inference on ARM Cortex-M Processors. IEEE Internet Things J. Antonio Maciá-Lillo, Sergio Barrachina, Germán Fabregat, Manuel F. Dolz
2024	J	`jnl`	Urban sound classification using neural networks on embedded FPGAs. J. Supercomput. Jose A. Belloch, Raul Coronado, Óscar Valls, Rocío del Amor, German Leon, Valery Naranjo, Manuel F. Dolz, Adrian Amor-Martin, Gema Piñero
2023	J	`jnl`	Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks. Computing Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2023	J	`jnl`	Efficient and portable Winograd convolutions for multi-core processors. J. Supercomput. Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2023	J	`jnl`	GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge. CoRR José Duato, José I. Mestre, Manuel F. Dolz, Enrique S. Quintana-Ortí
2023	J	`jnl`	Performance-energy trade-offs of deep learning convolution algorithms on ARM processors. J. Supercomput. Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio-Manuel Vidal-Maciá, Germán Fabregat, Andrés E. Tomás
2023	J	`jnl`	Reformulating the direct convolution for high-performance deep learning inference on ARM processors. J. Syst. Archit. Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás
2023	J	`jnl`	Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs. Computing Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2022	J	`jnl`	BestOf: an online implementation selector for the training and inference of deep neural networks. J. Supercomput. Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Andrés E. Tomás
2022	C	`conf`	Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor. SBAC-PAD Manuel F. Dolz, Héctor Martínez, Pedro Alonso, Enrique S. Quintana-Ortí
2022	J	`jnl`	Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors. J. Parallel Distributed Comput. Sergio Barrachina, Manuel F. Dolz, Pablo San Juan, Enrique S. Quintana-Ortí
2022	J	`jnl`	High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS. J. Syst. Archit. Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan, Andrés E. Tomás
2022	C	`conf`	Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP. PDP Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí
2021	—	`conf`	A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks. IPDPS Workshops Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2021	J	`jnl`	Acoustic Echo Cancellation using Residual U-Nets. CoRR Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero
2021	J	`jnl`	Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product. Int. J. High Perform. Comput. Appl. Maria Barreda, Manuel F. Dolz, M. Asunción Castaño
2021	C	`conf`	Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks. PDP Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
2021	J	`jnl`	High performance and energy efficient inference for deep learning on ARM processors. CoRR Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan
2021	C	`conf`	Performance Modeling for Distributed Training of Convolutional Neural Networks. PDP Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
2021	J	`jnl`	PyDTNN: A user-friendly and extensible framework for distributed deep learning. J. Supercomput. Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2020	J	`jnl`	A pipeline for the QR update in digital signal processing. Comput. Math. Methods Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
2020	J	`jnl`	Detecting semantic violations of lock-free data structures through C++ contracts. J. Supercomput. Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
2020	J	`jnl`	High Performance and Portable Convolution Operators for ARM-based Multicore Processors. CoRR Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020	C	`conf`	High Performance and Portable Convolution Operators for Multicore Processors. SBAC-PAD Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020	J	`jnl`	Performance modeling of the sparse matrix-vector product via convolutional neural networks. J. Supercomput. Maria Barreda, Manuel F. Dolz, M. Asunción Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2019	J	`jnl`	A pipeline structure for the block QR update in digital signal processing. J. Supercomput. Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
2019	J	`jnl`	A similarity study of I/O traces via string kernels. J. Supercomput. Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig
2019	C	`conf`	Analysis of model parallelism for distributed neural networks. EuroMPI Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2019	J	`jnl`	Exploring stream parallel patterns in distributed MPI environments. Parallel Comput. Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, José Daniel García
2019	J	`jnl`	Hybrid static-dynamic selection of implementation alternatives in heterogeneous environments. J. Supercomput. David del Rio Astorga, Manuel F. Dolz, Javier Fernández, Javier García Blas
2019	B	`conf`	Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. CCGRID Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2018	J	`jnl`	An adaptive offline implementation selector for heterogeneous parallel platforms. Int. J. High Perform. Comput. Appl. David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, Javier Fernández, José Daniel García
2018	—	`conf`	Comparison of Clang Abstract Syntax Trees using String Kernels. HPCS Raul Torres, Thomas Ludwig, Julian M. Kunkel, Manuel F. Dolz
2018	J	`jnl`	Energy monitoring as an essential building block towards sustainable ultrascale systems. Sustain. Comput. Informatics Syst. Francisco Almeida, Marcos Dias de Assunção, Jorge G. Barbosa, Vicente Blanco Pérez, Ivona Brandic, Georges Da Costa, Manuel F. Dolz, Anne C. Elster, Mateusz Jarus, Helen D. Karatza, Laurent Lefèvre, Ilias Mavridis, Ariel Oleksiak, Anne-Cécile Orgerie, Jean-Marc Pierson
2018	J	`jnl`	Finding parallel patterns through static analysis in C++ applications. Int. J. High Perform. Comput. Appl. David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García, Marco Danelutto, Massimo Torquati
2018	C	`conf`	Parallelizing and Optimizing LHCb-Kalman for Intel Xeon Phi KNL Processors. PDP Placido Fernández, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, Omar Awile, José Daniel García
2018	J	`jnl`	Paving the way towards high-level parallel pattern interfaces for data stream processing. Future Gener. Comput. Syst. David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
2018	C	`conf`	Supporting MPI-distributed stream parallel patterns in GrPPI. EuroMPI Javier Fernández Muñoz, Manuel F. Dolz, David del Rio Astorga, Javier Prieto Cepeda, José Daniel García
2018	J	`jnl`	Towards Automatic Parallelization of Stream Processing Applications. IEEE Access Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Jesús Carretero
2018	J	`jnl`	Understanding hardware and software metrics with respect to power consumption. Sustain. Comput. Informatics Syst. Julian M. Kunkel, Manuel F. Dolz
2017	B	`conf`	A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns. PaCT Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig
2017	J	`jnl`	A generic parallel pattern interface for stream and data processing. Concurr. Comput. Pract. Exp. David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
2017	J	`jnl`	Adapting concurrency throttling and voltage-frequency scaling for dense eigensolvers. J. Supercomput. José Ignacio Aliaga, Maria Barreda, M. Asunción Castaño, Manuel F. Dolz, Enrique S. Quintana-Ortí
2017	J	`jnl`	Enabling semantics to improve detection of data races and misuses of lock-free data structures. Concurr. Comput. Pract. Exp. Manuel F. Dolz, David del Rio Astorga, Javier Fernández, Massimo Torquati, José Daniel García, Félix García Carballeira, Marco Danelutto
2017	C	`conf`	Probabilistic-Based Selection of Alternate Implementations for Heterogeneous Platforms. ICA3PP Javier Fernández, Andrés Sánchez Cuadrado, David del Rio Astorga, Manuel F. Dolz, José Daniel García
2017	—	`conf`	Supporting Advanced Patterns in GrPPI, a Generic Parallel Pattern Interface. Euro-Par Workshops David del Rio Astorga, Manuel F. Dolz, Javier Fernández, José Daniel García
2016	C	`conf`	A C++ Generic Parallel Pattern Interface for Stream Processing. ICA3PP David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, Javier García Blas, José Daniel García
2016	J	`jnl`	An analytical methodology to derive power models based on hardware and software metrics. Comput. Sci. Res. Dev. Manuel F. Dolz, Julian M. Kunkel, Konstantinos Chasapis, Sandra Catalán
2016	J	`jnl`	Analyzing the energy consumption of the storage data path. J. Supercomput. Pablo Llopis, Manuel F. Dolz, Francisco Javier García Blas, Florin Isaila, Mohammad Reza Heidari, Michael Kuhn
2016	—	`conf`	CID: A Compile-Time Implementation Decider for Heterogeneous Platforms Based on C++ Attributes. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld Luis Miguel Sánchez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández
2016	—	`conf`	Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes. PMAM@PPoPP David del Rio Astorga, Manuel F. Dolz, Luis Miguel Sánchez, José Daniel García
2016	—	`conf`	Embedding Semantics of the Single-Producer/Single-Consumer Lock-Free Queue into a Race Detection Tool. PMAM@PPoPP Manuel F. Dolz, David del Rio Astorga, Javier Fernández, José Daniel García, Félix García Carballeira, Marco Danelutto, Massimo Torquati
2016	C	`conf`	Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data. ICA3PP Javier García Blas, Manuel F. Dolz, José Daniel García, Jesús Carretero, Alessandro Daducci, Yasser Alemán-Gómez, Erick Jorge Canales-Rodríguez
2015	—	`conf`	ARDUPOWER: A low-cost wattmeter to improve energy efficiency of HPC applications. IGSC Manuel F. Dolz, Mohammad Reza Heidari, Michael Kuhn, Thomas Ludwig, Germán Fabregat
2015	J	`jnl`	Are our dense linear algebra libraries energy-friendly? Comput. Sci. Res. Dev. José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Enrique S. Quintana-Ortí
2015	J	`jnl`	Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi. Comput. Electr. Eng. Manuel F. Dolz, Francisco D. Igual, Thomas Ludwig, Luis Piñuel, Enrique S. Quintana-Ortí
2015	J	`jnl`	Evaluating the performance and energy efficiency of the COSMO-ART model system. Comput. Sci. Res. Dev. Joseph Charles, William B. Sawyer, Manuel F. Dolz, Sandra Catalán
2014	J	`jnl`	Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers. Sustain. Comput. Informatics Syst. Mohammed el Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
2014	J	`jnl`	Assessing the impact of the CPU power-saving modes on the task-parallel solution of sparse linear systems. Clust. Comput. José Ignacio Aliaga, Maria Barreda, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
2014	J	`jnl`	Automatic detection of power bottlenecks in parallel scientific applications. Comput. Sci. Res. Dev. Maria Barreda, Sandra Catalán, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2014	J	`jnl`	Block pivoting implementation of a symmetric Toeplitz solver. J. Parallel Distributed Comput. Pedro Alonso, Manuel F. Dolz, Antonio M. Vidal
2014	—	`—`	Energy-aware matrix computacion on multirhreaded architectures. Manuel F. Dolz
2014	J	`jnl`	Enhancing performance and energy consumption of runtime schedulers for dense linear algebra. Concurr. Comput. Pract. Exp. Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
2014	—	`conf`	Evaluating Lustre's metadata server on a multi-socket platform. PDSW@SC Konstantinos Chasapis, Manuel F. Dolz, Michael Kuhn, Thomas Ludwig
2014	J	`jnl`	Modeling power and energy consumption of dense matrix factorizations on multicore processors. Concurr. Comput. Pract. Exp. Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2014	J	`jnl`	Modeling power and energy of the task-parallel Cholesky factorization on multicore processors. Comput. Sci. Res. Dev. Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2014	J	`jnl`	Tools and methods for measuring and tuning the energy efficiency of HPC systems. Sci. Program. Robert Schöne, Jan Treibig, Manuel F. Dolz, Carla Guillén, Carmen B. Navarrete, Michael Knobloch, Barry Rountree
2013	J	`jnl`	Energy-efficient execution of dense linear algebra algorithms on multi-core processors. Clust. Comput. Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2013	—	`conf`	Runtime Scheduling of the LU Factorization: Performance and Energy. EE-LSDS Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Mayo
2013	—	`conf`	Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters! EE-LSDS Mohammed el Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso, Sandra Catalán, Rafael Mayo, Enrique S. Quintana-Ortí
2012	J	`jnl`	A simulator to assess energy saving strategies and policies in HPC workloads. ACM SIGOPS Oper. Syst. Rev. Manuel F. Dolz, Juan Carlos Fernández, Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Ortí
2012	C	`conf`	Binding Performance and Power of Dense Linear Algebra Operations. ISPA Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes
2012	J	`jnl`	DVFS-control techniques for dense linear algebra operations on multi-core processors. Comput. Sci. Res. Dev. Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
2012	—	`conf`	Leveraging Task-Parallelism in Energy-Efficient ILU Preconditioners. ICT-GLOW José Ignacio Aliaga, Manuel F. Dolz, Alberto F. Martín, Rafael Mayo, Enrique S. Quintana-Ortí
2012	C	`conf`	Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms. ISPA Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
2012	C	`conf`	Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors. PDP Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Ortí
2012	B	`conf`	Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications. ICPP Pedro Alonso, Rosa M. Badia, Jesús Labarta, Maria Barreda, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Ruymán Reyes
2011	—	`conf`	Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-core and Many-Core Processors. IPDPS Workshops Maribel Castillo, Manuel F. Dolz, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí, Vicente Roca
2011	—	`conf`	Improving power efficiency of dense linear algebra algorithms on multi-core processors via slack control. HPCS Pedro Alonso, Manuel F. Dolz, Rafael Mayo, Enrique S. Quintana-Ortí
2011	—	`conf`	Power-aware Dense Linear Algebra Implementations on Multi-core and Many-core Processors. MARC Symposium Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Bryan Marker, Rafael Mayo, Enrique S. Quintana-Ortí, Robert A. van de Geijn
2010	—	`conf`	EnergySaving Cluster Roll: Power Saving System for Clusters. ARCS Manuel F. Dolz, Juan Carlos Fernández, Rafael Mayo, Enrique S. Quintana-Ortí