European master in Computer Science for the Human-Centric and Sustainable Industry

Computer Science Engineer and PhD in Computer Science specializing in Artificial Intelligence from the University of Burgos, Spain, has been an Associate Professor at the Digitalization Department since 2018. He's been a key member of the university staff since 2005, holding various positions.

As an active member of the GICAP (Grupo de Inteligencia Computacional Aplicada in UBU) research group, Baruque significantly contributes to research, knowledge transfer, and scientific dissemination activities. His focus is on Artificial Intelligence, particularly Automated Learning techniques, with a keen interest in applying these techniques to real-life challenges across diverse fields such as the economy, industrial engineering, health sciences, information security, and education.

He has received positive evaluations for his research activities from the Spanish National Commission for the Evaluation of Research Activities. He is the author of over 20 contributions to indexed international research journals and more than 40 contributions to international scientific conferences, primarily in the 1st and 2nd quartiles.

Since 2009, he has coordinated the Grupo de Innovación Docente (GID) NeuroTICs at UBU, dedicated to promoting the internationalization of education programs. Baruque has served as an expert for SEPIE since 2015, evaluating teaching innovation projects. He has also been a local coordinator for the Business Intelligence and Big Data in Cyber-Secure Environments master's degree since 2017. Additionally, since 2010, he has coordinated the European Computer Science expert course, facilitating students' completion of courses in different institutions.

Highly qualified and passionate professional with a solid academic background as an Industrial Organization Engineer (TECNUN, University of Navarra) and a Ph.D. in Engineering (University of Burgos). With a distinguished career as a Full Professor at the University, my teaching experience spans various fields, from Economics and Business Administration to Human Resources and Knowledge Management.

In the realm of research, I have made significant contributions with 16 articles published in internationally renowned scientific journals and 42 presentations at national and international conferences. My involvement in 20 research projects attests to my commitment to advancing knowledge in my area of expertise: Knowledge Management and Human Resources.

My focus extends beyond the academic sphere, as I have collaborated with prestigious institutions internationally, such as Tec de Monterrey in Mexico, Fachhochschule Köln in Germany (2004-2008), and Meiji University of Tokyo in Japan (2012-2014). Additionally, I highlight my role as the ERASMUS Coordinator between the University of Burgos and Fachhochschule Köln, strengthening international collaboration.

My commitment to academic training is reflected in the successful supervision of 4 doctoral theses with an International Doctorate mention. I am a proactive and dedicated professional, ready to contribute my experience and knowledge to any educational or research environment seeking academic excellence and constant innovation.

Industrial Engineer graduated from the University of Valladolid in 2002, with a strong track record in research and teaching. I began my career in the INSISOC research group, participating in projects such as FIRMA from the EU Framework Programme V and collaborating with the SEI Oxford office. After obtaining a predoctoral scholarship, I joined the University of Burgos as an assistant professor, where I have held various roles since, including visits to other institutions.

My initial methodological focus was on computational modeling and simulation, particularly agent-based modeling. Over time, I have integrated analytical approaches with simulation, and more recently, I have explored models using network theory and statistical learning. I enjoy working on interdisciplinary projects, highlighting my contributions in project management, evolutionary game theory, and, more recently, predictive modeling in industrial and management engineering.

Relevant Positions:

• Research Assistant - General Foundation of the University of Valladolid (FIRMA Project).
• Assistant Professor - University of Burgos.
• Contracted Doctor Professor and Full Professor - University of Burgos.
• Professor and Chair Professor - University of Burgos.
• Professor - Master in Business Analytics and Data Science - University of Salamanca.
• Coordinator of Doctoral Programs in Civil and Industrial Engineering Technologies - University of Burgos.

Service:

• Current Coordinator of the Doctoral Program in Industrial, Computer, and Civil Engineering at UBU.
• Active member of COMSOTEC, with roles as Vice President, President, Secretary, and currently a Member of the Board of Directors.
• Academic Editor for prestigious journals such as PeerJ Computer Science, PLOS ONE, and Complexity.

PhD holder in Computer Science from the University of Malaga since 2015, brings a rich background in developing predictive models for clinical areas from heterogeneous data sources. His postdoctoral experience includes a 24-month Marie Curie Fellowship linked to an ITN in ML for Personalized Medicine as part of a European project. He has completed internships at renowned institutions such as ETH Zurich, INSERM Paris, Liverpool John Moores University, and the University of Tartu.

Recently, as part of a Talent Attraction Program, Daniel worked at the University of Cádiz as an ASCETI researcher, focusing on Big Data and ML projects applied in manufacturing processes for companies like Airbus, Navantia, Acerinox, and Cepsa. Presently, he is a lecturer (Profesor Contratado Doctor) at UBU, contributing to teaching and research in the Digitalization department, where he coordinates a new Bachelor's degree linked to Industry 4.0. Alongside his expertise in AI and ML, Daniel explores optimization algorithms and deep learning models, with a keen interest in explainable and interpretable models, particularly applied to domains such as logistics, transportation, industry, air pollution, and cybersecurity.

with two CNAI research periods (2009-2014 and 2015-2020), he has established a prolific research profile. He boasts 25 papers in JCR-indexed journals (11Q1, 10Q2, 4Q3), over 30 conference papers, and has edited four Springer books. With an H-index of 13 and 920 total citations on Google Scholar, his research receives an impressive >130 citations/year on average over the last 5 years.

Daniel's academic leadership extends to being a regular member of program committees for conferences like the International Joint Conference on Artificial Intelligence (IJCAI, classified as A*), demonstrating his influence in the field. Additionally, he served as Co-Chair for international conferences such as ICEUTE, CISIS, and SOCO in 2020 and contributed to the organizing committee for various conferences, including OLA in Cádiz in 2020.

Ph.D. from the University of Valladolid with the thesis 'Signal Processing Techniques for Agro-Industrial Machinery Monitoring' in 2019. Supervised by Dr. Jaime Gómez Gil, Dr. Luis Manuel Navas Gracia, Dr. Francisco Javier Gómez Gil.

Ph.D. from the Universitat Ramon Llull with the thesis 'New Strategies in Antimicrobial Photodynamic Therapy and Singlet Oxygen Detection' in 2013. Supervised by Dr. Santi Nonell Marrugat.

The researcher has accumulated over 14 months of international experience in foreign institutions during and after his Ph.D. In particular, he completed two stays at the University of Kentucky (USA), totaling 7 months; two stays at the Universidade Federal de Viçosa (Brazil), totaling 9 months; one stay at the Universidade Federal de Santa Catarina (Brazil), lasting 1 month; and one stay at the Universidade Federal do Piauí (Brazil), also lasting 1 month. Currently, he is involved in ongoing projects and active partnerships with researchers from various universities in both the USA and Brazil.