Team

He has co-authored over 240 articles in scientific journals, in the topic of Machine Learning and Soft-Computing techniques, with very different applications, in atmospheric and climate-related problems, renewable energy, environmental problems or Telecommunications Systems design, among others. His main research interests are related to the development of Machine Learning and Deep Learning algorithms, Soft-Computing techniques and their applications to problems in Science and Engineering.

School of Universidad de Alcalá, Spain during the period 2016-2022. The research of Antonio Portilla focuses on the application of soft computing techniques for telecommunication network design oriented to strategic studies. He is co-author of more than 70 research articles and more than 80 national (Spanish) and international scientific and technical conferences. He has received 12 academic and research awards from different public and private organizations.

Antonio Portilla-Figueras is member of the Governing Board of the National Professional Telecommunication Association since 2018, and he has worked as judicial expert for several companies. He has been the Director of the Business Sponsored Chair of the Fundación Vodafone in the University of Alcalá and now he is the Director of the ISDEFE-UAH Observatory in ICT and Digital Advance working in 5G related issues for Spanish National Telecommunication Office of the Economy Ministry. He is also the Director of the Business Sponsored Chair Correos-UAH for innovation on logistics. 

Antonio Portilla was a vocal member of the EUR-ACE Accreditation Commission at the National Quality Accreditation and Evaluation Agency (ANECA) during the period 2016-2022 and is currently the President of the EUR-ACE Appealing Commission.

of Vigo, and later as Interim Associate Professor at the University of Alcalá until 2010, when he obtained his tenure. He is Vice Dean of the Polytechnic School of Universidad de Alcalá since november 2022.

Enrique Alexandre has authored more than 30 papers in international journals and books besides a good number of conferences, both national and international. He has  supervised 1 PhD thesis and more than 30 Master’s Thesis. Regarding research awards, he has received the Award from the Social Council of the University of Alcalá for the transfer of knowledge University-Society, in 2008, which is the most important award given by the University of Alcalá to Research groups.  

Enrique Alexandre has participated in more than 45 research projects, being 14 of them regional, 7 national, 2 international and 24 with private companies. In 7 of these projects he worked as Principal Investigator (IP). As a result of some of these projects a number of commercial products have been made available, and also a patent. His current research interests include machine learning and soft computing algorithms applied to different problems such as sound processing and renewable energies.

to do the thesis at the University of Exeter, United Kingdom. He obtained the Ph. D. degree in 2021. After his thesis, he worked as postdoctoral researcher at University of Alcalá. He has worked as an Assistant Professor at Universidad Politécnica de Madrid. He is the author of more than 20 research papers related with the application of Artificial Intelligence to different problems of Engineering and Science. He is working on different research projects related to the application of Artificial Intelligence applied to a wide variety of engineering problems. His main research interest is the application and development of Machine Learning and Deep Learning models to different problems of Engineering and Science.

belonging to Artificial Intelligence field and their application to different problems in Science and Engineering, especially in those related to renewable energy problems. She has authored/co-authored 18 international indexed journals (12 Q1, 5 Q2 and 1 Q3) and more than 8 conferences papers, including invited talks and workshops.

embedded systems oriented to telecommunications and other signal processing projects. He is currently working towards his Ph.D. degree in Natural Language Processing at the department of Signal Processing and Communications of Universidad de Alcalá. His current main interests are related to the development of Machine Learning, hybrid, statistics and RL algorithms, and their applications in Natural Language Processing and other fields of Technology and Science.

in the Department of Signal Theory and Communications of the University of Alcalá. Being focused on the development of Machine and Deep Learning algorithms for the prediction of meteorological events and other non-deterministic phenomena. Although it has recently embarked on research activities, he has already participated in various international conferences and has published 6 journal papers.

Department. He is currently working at the department of Signal Processing and Communications of Universidad de Alcalá, where he carries out research on optimization and machine learning techniques. His current main research interests are related to the development of machine learning, reinforcement learning, single and multi-objective optimization algorithms, and their applications to engineering problems, especially in those associated with renewable energy and smart grids. He has authored/co-authored 6 papers in international indexed journals (4 Q1 and 2 Q2) and 2 conference papers.

and his main lines of research are metaheuristic optimization, hyperheursitics, machine learning and deep learning applied to climate extreme detection. He also has good programming skills in a variety of programming languages including python, C/C++, Java etc.

where he is currently carrying out his PhD in Development of Machine Learning algorithms for Extreme Climate Events. His current research interests are concerned with the development of new machine learning, rule learning, ensembles, heuristics and evolutionary computation, multi-modal optimization, and interpretability techniques and algorithms, and especially their applications to extreme climate events detection.

where he is pursuing the Ph.D. in Information and Communications Technologies. His primary research focus is the development of novel metaheuristic algorithms for optimization in logistics and renewable energies. He is also engaged in research on machine learning and deep learning algorithms, with the objective of developing hybridized optimization models.

of Universidad de Alcalá, which depends on Universidad de Alcalá and State Secretary for Security of the Spanish Interior Ministry and collaborates with Spanish Police Forces. She is currently carrying out research on Machine and Deep Learning algorithms to apply them in the characterization of bullet impacts, in the department of Signal Processing and Communications of Universidad de Alcalá.

Alcalá and numerous shorter-time visits at University of Cantabria, both Spain. He managed to publish 30 scientific articles and more than 25 conference articles. His current focuses encompass control theory, artificial intelligence with deep learning for applications, climate analysis and prediction, data science and econometrics, and intelligent systems.