Papers
Latest works from our researchers obtained via ORCID.
Christian Pรฉrez Bernal
-
Badges as Visible Formative Feedback in Arduino PBL
๐ Published in 2026
-
DESIGN AND EARLY EVALUATION OF A GENERATIVE AI TUTOR FOR SELF-REGULATED LEARNING IN AN INTRODUCTORY DATA STRUCTURES COURSE
๐ Published in 2026
-
SPRINT-BASED PROJECT LEARNING AND GAMIFICATION IN AN INTRODUCTORY ARDUINO COURSE
๐ Published in 2026
-
Cost-Efficient Charging Station Deployment forย Electric Bus Fleets
๐ Published in 2026
-
Predict for Pruning: Graph Neural Network-Based Makespan Prediction for Solver Pruning in Job Shop Scheduling
๐ Published in 2026
Miguel รngel Salido
-
Badges as Visible Formative Feedback in Arduino PBL
๐ Published in 2026
-
SPRINT-BASED PROJECT LEARNING AND GAMIFICATION IN AN INTRODUCTORY ARDUINO COURSE
๐ Published in 2026
-
IGJSP: A Reproducible Instance Generator for Job Shop Scheduling
๐ Published in 2025
-
Optimizing energy efficiency in unrelated parallel machine scheduling problem through reinforcement learning
๐ Published in 2025
-
A hybrid metaheuristic with learning for a real supply chain scheduling problem
๐ Published in 2023
Laura Isabel Climent
-
Tamoxifen: Occurrence, fate, transformation products, and non- conventional treatment technologies
๐ Published in 2020
-
An integrative biological effects assessment of a mine discharge into a Norwegian fjord using field transplanted mussels
๐ Published in 2018
-
Occurrence and risks of contrast agents, cytostatics, and antibiotics in hospital effluents
๐ Published in 2018
-
Elimination study of the chemotherapy drug tamoxifen by different advanced oxidation processes: Transformation products and toxicity assessment
๐ Published in 2017
-
New fluorescent tracers for SWCTT
๐ Published in 2017
Alejandro Arbelaez
-
A Robust Optimization Framework for eBus Charging Infrastructure Planning
๐ Published in 2026
-
Cost-Efficient Charging Station Deployment forย Electric Bus Fleets
๐ Published in 2026
-
Iterative local search for preserving data privacy
๐ Published in 2025
-
A hybrid metaheuristic with learning for a real supply chain scheduling problem
๐ Published in 2023
-
Automatic assessment of object oriented programming assignments with unit testing in Python and a real case assignment
๐ Published in 2023
Pilar Tormos
-
An efficient hybrid genetic algorithm for scheduling projects with resource constraints and multiple execution modes
๐ Published in 2009
-
Meta-heuristic and Constraint-Based Approaches for Single-Line Railway Timetabling
๐ Published in 2009
-
An assessment of railway capacity
๐ Published in 2008
-
A Genetic Algorithm for Railway Scheduling Problems
๐ Published in 2008
-
Domain-dependent distributed models for railway scheduling
๐ Published in 2007