Conferences  >  Mathematics  >  Optimization Theory, Operational Research

Portugal, University of Aveiro, Department of Mathematics

The conference DEOTIA26 serves as a premier forum for mathematicians, engineers, and interdisciplinary researchers to share novel insights, theoretical developments, and practical applications that bridge mathematics with real-world problem-solving. The event highlights the transformative power of analytical and numerical methods across diverse domains, emphasizing innovation, efficiency, and sustainability. The Portuguese Mathematical Society (Sociedade Portuguesa de Matemática) endorses DEOTIA26 and its scientific scope: (1) Mathematical Foundations: This thematic area explores the theoretical aspects of differential equations, variational principles, and optimization theory. It focuses on analytical methods and the development of new mathematical theoretical directions; (2) Computational and Numerical Methods: This thematic area centers on algorithmic approaches and computational strategies for solving complex differential and optimization problems. Topics include numerical simulation, machine learning-assisted optimization, and big data computational systems; (3) Solutions and Interdisciplinary Applications: This thematic area focuses on applying mathematical tools to real-world scenarios in engineering, physics, biology, economics, and environmental sciences, with special focus in Logistics and Manufacturing—demonstrating how mathematical modeling drives innovation and decision-making across disciplines.

DEOTIA26 Organizing Committee;     Email: event_deotia26@spm.pt

Differential equations, elliptic PDEs, dispersive equations, calculus of variations, optimal control, geometric optimization, nonlinear evolution equations, Lavrentiev phenomenon, nonstandard growth (Musielak–Orlicz), integro-differential equations, fractional operators, numerical simulation, AI techniques for differential equations, event-driven simulation & optimization, logistics and manufacturing decision-support solutions

Applied Mathematics (in general),    Calculus, Differential Equations and Integration

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Cost-effective monitoring of large transportation networks, combined with the collection of accurate and relevant data on transport, vehicle movements, and individual mobility through various technologies, is crucial for enhancing transportation service efficiency. As we have seen in the past decade, recent technological advancements have produced an enormous volume of data, which is invaluable for understanding, planning, and managing transport networks in large cities, while also addressing the limitations imposed by road network growth. The challenge of managing, analyzing, and interpreting the information collected is considerable. The objective of this workshop is to bring together statisticians and engineers, with the specific goal to share recent advances, identify pressing problems, spark productive collaborations, and ultimately advance the state of the art by developing methods for the statistical modeling of data in the field of transportation. We will foster these interactions through four theme-focused daily workshops on the following topics: network modeling, travel behavior and choice modeling, traffic flow modeling and accident and safety analysis.

Applied Mathematics (in general),    Transportation and Logistics

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Recent breakthroughs in autonomy, electrification, and shared mobility are transforming transportation by opening new avenues for integrated, multi-modal transit systems with potential to benefit society as a whole. This five-day Dagstuhl Seminar aims to bring together experts from computer science, operations research, engineering, social sciences, and public policy to tackle both the theoretical and practical challenges at the intersection of data-driven transit planning, algorithm design, and real-world implementation.

Bialystok University of Technology

The 9th German-Polish Conference on Optimization – Methods and Applications is an international scientific event that continues a long-standing tradition of collaboration between the Polish and German research communities. Although the conference primarily serves as a Polish-German initiative, the organizers warmly welcome participants from other European countries and beyond. The strong international interest in previous editions confirms the relevance and importance of the topics addressed. The thematic scope of the conference includes, among others, optimization in machine learning and the applications of fractional calculus in optimization problems. These subjects reflect both the rapid development of modern optimization methods and their growing impact on contemporary applied mathematics, data science, and engineering.

Bialystok University of Technology;     Email: wi.gpco2026@pb.edu.pl

theory of smooth and non-smooth optimization, variational problems and variational inequalities, optimal control, inverse and ill-posed problems, combinatorial optimization, vector optimization, solution methods and applications of optimization, ordinary and partial differential equations: theory and applications, mathematical modelling involving fractional ODEs and PDEs, fractional dynamic systems and applications, fractional signals and systems, integral representations for fractional differential systems, multi-agent systems,

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

Algebraic distance optimization, a family of optimization problems defined by polynomial equations, is becoming a key approach for solving complex optimization tasks in computational algebraic geometry, computer graphics, image processing, and machine learning. Its primary focus is on solving algebraic optimization problems concerning the distance from a data point to a given algebraic variety. This workshop will bring together leading experts from algebraic geometry, algebraic statistics, optimization, and application areas to explore and develop advances in this research area.

Phone: [4018635030];     Email: info@icerm.brown.edu

Optimization

Isaac Newton Institute for Mathematical Sciences, Cambridge

Isaac Newton Institute for Mathematical Sciences, Cambridge

Isaac Newton Institute for Mathematical Sciences, Cambridge

Probability and Statistics, Game Theory,    Applied Mathematics (in general)

Isaac Newton Institute for Mathematical Sciences, Cambridge