OL2A

Plenary Talk - To trust or not to trust, is that the only question? A journey from safety to responsibility in AI systems

As AI evolves from foundation models to autonomous systems, is "trustworthiness" enough? Javier Del Ser (Chief AI Scientist at TECNALIA) joins us for a keynote that challenges our current understanding of AI governance.

The talk tracks the evolution from AI Safety (robustness and alignment) to Trustworthy AI (fairness and privacy), ultimately calling for a shift toward Responsible AI. In an era of opaque dynamics and high social impact, Javi argues for a comprehensive ecosystem of monitoring and accountability.

Join us to discuss the guiding paradigm for the next generation of intelligent systems.

Find out more: https://ol2a.ipb.pt/ui/ #/program

Plenary Talk - Policy Reusability for Multi-Objective Sequential Decision Making

How can we balance conflicting objectives in AI without training from scratch every time? In this plenary talk, Sihem Amer-Yahia (CNRS Silver Medalist) introduces a groundbreaking zero-shot paradigm.

The session will explore how LLM-driven orchestration can reuse existing single-objective policies to solve complex problems. The results? Competitive Pareto quality with a 3x reduction in computational cost compared to traditional MORL methods.

A must-attend for those interested in the intersection of LLMs, Reinforcement Learning, and practical applications in Education.

Find out more: https://ol2a.ipb.pt/ui/ #/program

📊 SODDD – Statistics and Optimization for Data-Driven Decisions
SODDD integrates statistical learning and optimization to support robust decision-making in complex, uncertain environments across multiple sectors.

🔎 Topics of interest include:
• Statistical learning
• Predictive modeling
• Optimization under uncertainty
• Multi-objective decision problems
• Applied decision systems in healthcare, energy, transport, and public policy

Turning data into informed, actionable decisions.

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

🚑 ODRDRF – Optimisation-Driven Resilience in Disaster and Relief Logistics
ODRDRF focuses on advanced optimization methods applied to humanitarian logistics and disaster response. Addressing uncertainty, multi-objective trade-offs, and real-time resource allocation.

🔎 Topics of interest include:
• Multi-objective optimization
• Stochastic and robust optimization
• Strategic facility location
• Evacuation planning and last-mile distribution
• Fairness and equity in resource allocation
• Applications to pandemics and natural disasters

Mathematical innovation supporting humanitarian resilience.

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

🌱 AI4SAgE – Artificial Intelligence for Sustainable Agriculture and Environment
AI4SAgE explores AI-driven solutions for sustainable agriculture and environmental resilience. From remote sensing to predictive modeling, this session bridges technology and ecological responsibility.

🔎 Topics of interest include:
• AI for sustainable agriculture
• Environmental monitoring
• Climate resilience modeling
• Remote sensing and Earth observation
• Ethics and responsible AI in environmental systems

Intelligent systems for a sustainable planet.

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

🤖 MLAIR – Machine Learning and AI in Robotics

MLAIR session explores the integration of ML, Embedded ML, and Edge AI into robotics systems. From perception and control to autonomous decision-making, this session addresses the challenges of deploying AI in resource-constrained robotic environments.

🔎 Topics of interest include:
• Robotics and autonomous systems
• Machine learning and deep learning
• Embedded ML and Edge AI
• Sensor intelligence
• Real-world case studies

Smarter robots. Efficient intelligence. Real-world impact.

Find out more: https://ol2a.ipb.pt/

⚖️ BAIM – Bias in Artificial Intelligence Models
BAIM session focuses on identifying, measuring, and mitigating bias in Artificial Intelligence systems. From data collection to algorithmic deployment, bias can generate inequities in hiring, healthcare, finance, and criminal justice.

🔎 Topics of interest include:
• Data bias and algorithmic bias
• Measurement and deployment bias
• Fairness metrics and auditing tools
• Transparency and explainability
• Legal and ethical considerations
• Impact on marginalized groups

Building AI systems that are fair, transparent, and responsible.

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

🏥 AIHaM – Artificial Intelligence in Healthcare and Medicine

The AIHaM session explores how AI, optimization, and data analytics are transforming diagnostic systems, clinical decision-making, and patient care. From early detection to predictive modeling, intelligent systems are becoming essential tools for healthcare professionals.

🔎 Topics of interest include:
• Optimization in healthcare
• Machine Learning for diagnostics
• Data analysis and case studies
• Patient data privacy and security
• AI-driven clinical decision support

Advancing innovation where technology meets human health.

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

🚀 Accepted Special Sessions – OL2A 2026

We are proud to present the accepted special sessions for OL2A 2026, covering cutting-edge research at the intersection of Optimization and Learning across diverse and impactful domains:

🏥 AIHaM – Artificial Intelligence in Healthcare and Medicine
⚖️ BAIM – Bias in Artificial Intelligence Models
🤖 MLAIR – Machine Learning and AI in Robotics
🌱 AI4SAgE – AI for Sustainable Agriculture and Environment
🚑 ODRDRF – Optimisation-Driven Resilience in Disaster and Relief Logistics
📊 SODDD – Statistics and Optimization for Data-Driven Decisions

OL2A 2026 continues to foster interdisciplinary collaboration, methodological innovation, and impactful real-world applications.

📅 Join us June 10–12, 2026
📍 University of Málaga & Online

Find out more: https://ol2a.ipb.pt/ui/ #/sessions

💡 Did you know OL2A can take your research even further?

Beyond presenting at the conference, the top 25% of accepted papers will be invited to submit an extended version (with at least 60% new results) to the Special Issue: “Optimization and Learning Algorithms Innovation” in the Springer Nature Computer Science Journal.

That means while you’re still preparing your submission, you could already be opening the door to an international journal publication. 🌍✨

Find out more: https://ol2a.ipb.pt/

Ready to share your research with the international Optimization & Learning community?

Don’t miss the OL2A 2026 deadlines:

📌 March 04 – Paper Submission
📌 March 29 – Acceptance Notification
📌 April 12 – Early-Bird & Final Paper
📌 June 10–12 – Conference in Málaga & Online

Conference proceedings will be published by Springer-Verlag in Communications in Computer and Information Science (CCIS) with Scopus/WoS indexation.

See you in Málaga 🇪🇸

🔗 Submit and register: https://ol2a.ipb.pt/

Have you submitted your paper? Time is running out—submit today!

Submit your paper by March 4, 2026 (Extended)
𝐌𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐭: ol2a.ipb.pt/home