Alvaro Garcia Piquer

Alvaro Garcia Piquer is an Assistant Professor in the Engineering Department at La Salle Digital Engineering School. He is an active member of the Research Group on Smart Society and contributes to major research initiatives including the LHCb experiment at CERN. His work bridges computer science and physics, with a strong focus on machine learning, data mining, and astrophysical applications.

Research Interests:

• Machine Learning and Artificial Intelligence in scientific domains
• Data Mining and Genetic Algorithms for industrial applications
• Exoplanet detection using Radial-Velocity Method
• Particle identification in high-energy physics experiments
• Sentiment analysis and soft skills assessment in digital education

His recent publications reflect a multidisciplinary approach, combining computational techniques with applications in astrophysics and education. Articles published in Science and Astronomy & Astrophysics highlight his contributions to exoplanet discovery, while his work in AI conferences underscores his role in advancing machine learning methods.

Scientific Recognition:

• Over 1,700 citations across 33 research outputs
• Active participation in high-profile collaborations such as CARMENES and LHCb
• Principal Investigator on AGAUR-funded research projects
• ORCID: 0000-0002-6872-4262

Research and Advising: Dr. Garcia Piquer leads and participates in multiple research projects focused on intelligent systems and data challenges in particle physics. While no formal advisees are listed, his role as PI indicates leadership in guiding research teams. He is involved in both fundamental and applied research, contributing to policy-influencing science and widely covered discoveries.

Labs and Research Groups: He is affiliated with the Research Group on Smart Society and contributes to the Grup de Recerca en Sistemes Intel.ligents (GRSI), focusing on case-based reasoning and multiobjective optimization.