Arman Iranfar

Green Synthesis of ZnO/SnO2 Nanocomposites Using Pine Leaves and Their Application for the Removal of Heavy Metals from Aqueous Media

A. Naeimi, M. Amini, M. Honarmand, 2021, Journal of Cluster Science.

A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers

David Atienza, Marina Zapater, Samuel Xavier de Souza, 2019, 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC).

ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals*

David Atienza, Arman Iranfar, Adriana Arza, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks

David Atienza, Marina Zapater, Arman Iranfar, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Exploring manycore architectures for next-generation HPC systems through the MANGO approach

Edoardo Fusella, Alessandro Cilardo, Giovanni Agosta, 2018, Microprocess. Microsystems.

MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems

Alessandro Cilardo, Giovanni Agosta, David Atienza, 2017, 2017 Euromicro Conference on Digital System Design (DSD).

TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip

David Atienza, Mehdi Kamal, Ali Afzali-Kusha, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Design of a Two-Phase Gravity-Driven Micro-Scale Thermosyphon Cooling System for High-Performance Computing Data Centers

David Atienza, Marina Zapater, Arman Iranfar, 2018, 2018 17th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).