Embedded Files
Reserve Your Place in the Workshops
Reserve Your Place in the Workshops
Registration guidelines & details
Capacity: Maximum 25 participants per workshop.
Inclusions: Registration covers workshop access and a complimentary coffee break.
Registration requirement: A separate registration must be completed for each workshop you wish to attend.
Equipment: Participants are welcome to bring their own laptops, or they may use the computers provided in the laboratory facilities.
Selection process: Due to limited availability, participation is subject to review by the organizing committee. Acceptance will be communicated via email based on available capacity and the statement of motivation submitted during registration.
Deadline for submission: October 28th, 2026.
Data privacy: The information provided during registration will be used strictly and exclusively for the management and coordination of these workshops
Hands-on Workshop on Multispectral UAV-Data Analysis for Functional and Species-Level Biodiversity Estimation using Python
Hands-on Workshop on Multispectral UAV-Data Analysis for Functional and Species-Level Biodiversity Estimation using Python
Maren Pukrop
Maren Pukrop
Instructor: Maren Pukrop (Research Associate & PhD Candidate, Institute of Computer Science, Osnabrück University, Germany)
Date: Tuesday, November 10th, 2026
Time: 8:00 AM – 12:00 PM
Location: Paraíso Campus, Atlantic Branch, UCR, Lab 1
Description: This hands-on workshop introduces participants to the use of multispectral UAV imagery and geospatial analysis for biodiversity monitoring in Central European grasslands. Participants will explore vegetation indices such as NDVI, estimate functional biodiversity through flower colour classification and potentially vegetation heterogeneity measures, and apply machine learning techniques for plant species identification and mapping.
Maren Pukrop is a Research Associate and PhD Candidate at the Institute of Computer Science, Osnabrück University, Germany, and a member of the Remote Sensing and Digital Image Analysis Group. She holds a Bachelor’s degree in Applied Computer Science from OWL University of Applied Sciences and Arts, and a Master’s degree in Geoinformatics from Osnabrück University. Her research focuses on using of high-resolution optical remote sensing data for environmental monitoring, with a particular emphasis on biodiversity assessment and vegetation analysis. Over the past five years, she has contributed to interdisciplinary research projects at the intersection of agriculture, ecology and computer science. Mrs. Pukrop has extensive expertise in planning and executing UAV-based data acquisition campaigns across agricultural and natural landscapes, as well as advanced geospatial analysis using AI-driven methods for plant species identification and vegetation composition mapping.
Introduction to Large Language Model Engineering
Introduction to Large Language Model Engineering
Dr. Saúl Calderón Ramírez, Investigador ITCR
Estefanía Delgado Castillo, ITCR
Sarah Priscilla Quesada Chaves, ITCR
Óscar Andrés Obando Umaña, ITCR
Instructors:
Dr. Saúl Calderón Ramírez, Investigador ITCR
Estefanía Delgado Castillo, ITCR
Sarah Priscilla Quesada Chaves, ITCR
Óscar Andrés Obando Umaña, ITCR
Date: Tuesday, November 10th, 2026
Time: 1:00 PM – 5:00 PM
Location: Paraíso Campus, Atlantic Branch, UCR, Lab 1
Estimated participants: 32, including the support team.
Description: This hands-on workshop provides a practical introduction to the full lifecycle of building applications powered by large language models (LLMs), from Transformer architecture, tokenization, and embeddings to model adaptation and production deployment. Participants will explore efficient fine-tuning techniques such as LoRA and QLoRA, prompting strategies, retrieval-augmented generation (RAG), and orchestration tools such as LangChain and vector databases
Page updated
Google Sites
Report abuse