Mauricio Fadel Argerich

PhD student, Universidad Politécnica de Madrid

Joined

May 2025

Names

Mauricio Fadel Argerich (Preferred)

Emails

****@alumnos.upm.es (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Universidad Politécnica de Madrid (upm.es)

2022 – 2026

MS student

University of Roma "La Sapienza" (uniroma1.it)

2016 – 2018

Undergrad student

Universidad Tecnológica Nacional (utn.edu.ar)

2009 – 2014

Intern

University of Auckland (aucklanduni.ac.nz)

2013 – 2013

Advisors, Relations & Conflicts

PhD Advisor

Marta Patiño-Martínez

2022 – Present

Coauthor

Jonathan Fürst

2018 – Present

Expertise

No areas of expertise listed

Publications

Bench360: Benchmarking Local LLM Inference from 360$\degree$
Linus Stuhlmann, Mauricio Fadel Argerich, Jonathan Fürst
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Measuring and Improving the Energy Efficiency of Large Language Models Inference
Mauricio Fadel Argerich, Marta Patiño-Martínez
- IEEE Access 2024
- Readers: Everyone
VersaMatch: Ontology Matching with Weak Supervision
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng
- Proc. VLDB Endow. 2023
- Readers: Everyone
Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations
Richard McCreadie, John Soldatos, Jonathan Fürst, Mauricio Fadel Argerich, George Kousiouris, Jean-Didier Totow, Antonio Castillo Nieto, Bernat Quesada Navidad, Dimosthenis Kyriazis, Craig Macdonald, Iadh Ounis
- Technologies and Applications for Big Data Value 2022
- Readers: Everyone
Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs
- Open J. Internet Things 2020
- Readers: Everyone
Tutor4RL: Guiding Reinforcement Learning with External Knowledge
Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng
- AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020
- Readers: Everyone
Reinforcement Learning based Orchestration for Elastic Services
Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst
- WF-IoT 2019
- Readers: Everyone
Reinforcement Learning Based Orchestration for Elastic Services
Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst
- CoRR 2019
- Readers: Everyone
Towards Adaptive Actors for Scalable IoT Applications at the Edge
Jonathan Fürst, Mauricio Fadel Argerich, Kaifei Chen, Ernö Kovacs
- Open J. Internet Things 2018
- Readers: Everyone
Elastic Services for Edge Computing
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Apostolos Papageorgiou
- CNSM 2018
- Readers: Everyone