Ibai Laña Aurrekoetxea, PhD.

Former affiliation
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20162025

Research activity per year

Personal profile

ShortBio

Ibai Laña (Ph.D. in Artificial Intelligence) lives in Bilbao and works at Tecnalia as a Data Analyst. He graduated in Computer Engineering from the University of Deusto, Spain, in 2006, obtained a Master's in Advanced Artificial Intelligence from UNED, Spain, in 2014, and a Ph.D. in Artificial Intelligence from UPV/EHU in 2018. He is currently a senior researcher at Tecnalia. His research interests lie at the intersection of Intelligent Transportation Systems (ITS), machine learning, traffic data analysis, and data science. He has addressed urban traffic forecasting problems, where he has applied machine learning models and evolutionary algorithms to achieve longer-term and more accurate predictions. He is also interested in other traffic-related challenges, such as origin-destination matrix estimation or the detection of points of interest and trajectories. Working with large volumes of data, such as traffic flow measurements or call detail records, has led him to master big data processing tools and NoSQL databases. He has also been a visiting fellow at the Knowledge Engineering and Discovery Research Institute (KEDRI) at Auckland University of Technology (AUT).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action

Fingerprint

Dive into the research topics where Ibai Laña Aurrekoetxea is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or