Antonio Guillen-Perez

Antonio Guillen-Perez

AI Research Scientist at Hewlett-Packard Enterprise (HPE)

Email: antonio_algaida [at] hotmail [dot] com

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About Me

I am an AI Research Scientist at Hewlett-Packard Enterprise (HPE), focusing on Multi-Agent Deep Reinforcement Learning (MADRL) and Sustainability. With a Ph.D. in Computer Science, my academic background focuses on research and application of AI to improve Autonomous Vehicles and Connected Systems, and their practical applications. My work aims to drive advances in Data Centers sustainability, optimizing energy efficiency and reducing carbon footprints, and leverage AI to solve complex challenges.

Recent News

  • 2024/10: Paper SustainDC: Benchmarking for Sustainable Data Center Control accepted for presentation at the NeurIPS 2024 Datasets and Benchmarks Track. The paper introduces a novel multi-agent reinforcement learning benchmark for sustainable data center control. Link.
  • 2023/12: Received the Best Paper Award at the NeurIPS 2023 Climate Change AI Workshop for work on real-time carbon footprint minimization in data centers using deep reinforcement learning.
  • 2022/09: Joined HPE AI Labs as an AI Research Scientist. Initiated and led a pioneering project on Multi-Agent Deep Reinforcement Learning (MADRL) focused on data center sustainability, achieving significant improvements in energy efficiency and carbon footprint reduction.
  • 2022/06: Successfully defended my Ph.D. thesis on enhancing the cognitive capability of Intelligent Transportation Systems (ITS) using Artificial Intelligence, awarded Cum Laude. Link.
  • 2022/01: Completed my stay at the University of California, Davis as Researcher Visitor. Thanks Prof. J. Sebastian Gomez-Diaz. Focused on AI in healthcare, specifically early detection of throat cancer using a multimodal approach, achieving over 90% accuracy. Link.

Selected Publications
Full publication list at Google Scholar

* denotes equal contribution.
Journal Articles
Multi-Agent Deep Reinforcement Learning to Manage Connected Autonomous Vehicles at Tomorrow's Intersections
Antonio Guillen-Perez Maria-Dolores Cano
IEEE Transactions on Vehicular Technology, 2022, Vol. 71, No. 7, pp. 7033-7043
Paper Project Code
Learning From Oracle Demonstrations—A New Approach to Develop Autonomous Intersection Management Control Algorithms Based on Multiagent Deep Reinforcement Learning
Antonio Guillen-Perez Maria-Dolores Cano
IEEE Access, 2022, Vol. 10, pp. 53601-53613
Paper
Flying Ad Hoc Networks: A New Domain for UAV Network Communications
Antonio Guillen-Perez Maria-Dolores Cano
Sensors, 2018, Vol. 18, No. 10, Article 3571
Paper
Conferences
SustainDC: Benchmarking for Sustainable Data Center Control
Avisek Naug* Antonio Guillen-Perez* Ricardo Luna Gutierrez* Vineet Gundecha* Sahand Ghorbanpour Sajad Mousavi Dejan Markovikj Ashwin Ramesh Babu Soumyendu Sarkar
Accepted for NeurIPS 2024 Datasets and Benchmarks Track, Poster presentation
Paper
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Soumyendu Sarkar* Avisek Naug* Ricardo Luna* Antonio Guillen-Perez* Vineet Gundecha Sahand Ghorbanpour Sajad Mousavi Dejan Markovikj Ashwin Ramesh Babu
Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(20), pp. 22322-22330
Paper Project Code
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin
Avisek Naug* Antonio Guillen-Perez* Ricardo Luna-Gutierrez* Sahand Ghorbanpour Sajad Mousavi Ashwin Ramesh Babu Vineet Gundecha Soumyendu Sarkar
2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023, pp. 1-8
Paper
WiFi Networks on Drones
Antonio Guillen-Perez Ramon Sanchez-Iborra Maria-Dolores Cano Juan Carlos Sanchez-Aarnoutse Joan Garcia-Haro
2016 ITU Kaleidoscope: ICTs for a Sustainable World (ITU WT), 2016, pp. 1-8
Paper
Workshops
Real-time Carbon Footprint Minimization in Sustainable Data Centers with Reinforcement Learning
Avisek Naug* Antonio Guillen-Perez* Ricardo Luna-Gutierrez* Vineet Gundecha Ashwin Ramesh Babu Soumyendu Sarkar Cullen Bash
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
Paper Best ML Innovation Award
Sustainable Data Center Modeling: A Multi-Agent Reinforcement Learning Benchmark
Avisek Naug* Antonio Guillen-Perez* Ricardo Luna-Gutierrez* Vineet Gundecha Sahand Ghorbanpour Sajad Mousavi Ashwin Ramesh Babu Soumyendu Sarkar
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
Paper

Experience

Hewlett-Packard Enterprise (HPE) - AI Labs

Research Scientist, Milpitas-San Jose, CA

Sep 2022 - Present

Polytechnic University of Cartagena

Associate Lecturer, Cartagena, Spain

Sep 2018 - Jun 2022

Dolphin Wave | Startup

ML Engineer and Data Scientist, Murcia, Spain

Feb 2018 - Sep 2018

Polytechnic University of Cartagena

Research Intern, Department of Information and Communications Technologies, Cartagena, Spain

Sep 2014 - Sep 2018