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Thursday, March 13 (between 11:30 a.m. and 1 p.m.) an operation is planned on the authentication server
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Plenary Lectures
Plenary Lectures (to be completed)
Brief bio: Dr. Frederic Dufaux is a CNRS Research Director at Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S, UMR 8506), where he is head of the Telecom and Networking research hub. He is a Fellow of IEEE.
From Optimization to AI: 40 Years of DCA’s Evolution and Impact Celebrating 40th birthday of DCA Abstract: For four decades, the Difference of Convex Functions Algorithm (DCA) has been a cornerstone of optimization, solving complex nonconvex and nonsmooth problems across various domains. As artificial intelligence (AI) advanced, DCA became an essential tool, enabling AI systems to solve critical optimization challenges in machine learning, computer vision, robotics, natural language processing, autonomous systems, and many other fields. This talk will celebrate DCA’s 40-year legacy, highlighting its pivotal role in advancing AI through optimization. We will explore DCA’s foundational contributions to optimization and how DCA helped AI systems overcome key challenges by providing efficient methods for solving difficult optimization problems. From its origins in traditional optimization tasks to its integration into AI-driven solutions, DCA has been instrumental in improving AI performance. In particular, DCA has enabled optimization in large-scale models, empowered deep learning, reinforcement learning, and real-time decision-making, pushing the boundaries of AI capabilities, facilitating progress across diverse industries. Throughout its evolution, DCA has enabled breakthroughs in diverse sectors such as healthcare, finance, resource allocation, supply chain management, smart grids, cybersecurity, and network communication. Its impact has been crucial in advancing AI applications and continues to shape the future of intelligent systems. Looking ahead, we will consider DCA’s ongoing role in tackling emerging challenges in autonomous vehicles, edge computing, renewable energy, semiconductor design, and AI hardware, exploring how it will continue to drive innovation in AI optimization. Join us in celebrating DCA’s legacy, its ongoing impact, and its vital role in empowering AI through optimization over the past 40 years.
Brief bio: Prof. Le Thi Hoai An earned her PhD with Highest Distinction in Optimization in 1994, and her Habilitation in 1997 both from university of Rouen, France. From 1998 to 2003 she was Associate Professor in Applied Mathematics at the National Institute for Applied Sciences, Rouen, and from 2003 to 2012 she was Full Professor in Computer Science at the University of Paul Verlaine – Metz. Since 2012 she has been Full Professor exceptional class, University of Lorraine. She held the position of Director of the Theoretical and Applied Computer Science Lab of University of Paul Verlaine and then University of Lorraine from 2008 to 2017. She is the holder of the Knight in the Order of Academic Palms Award of French government in July 2013. She was nominated a Senior Member of the Academic Institute of France (IUF) in June 2021, and received the 2021 Constantin Caratheodory Prize of the International Society of Global Optimization which rewards outstanding fundamental contributions that have stood the test of time to theory, algorithms, and applications of global optimization.
Brief bio:
Dr. Lam M. Nguyen is a Staff Research Scientist at IBM Research, Thomas J. Watson Research Center working in the intersection of Optimization and Machine Learning / Deep Learning. He is also a Principal Investigator of ongoing MIT-IBM Watson AI Lab projects and an IBM Master Inventor. At IBM Research, his work on "Stochastic Gradient Methods: Theory and Applications" was selected for 2021 IBM Research Accomplishments and the paper "A Hybrid Stochastic Optimization Framework for Composite Nonconvex Optimization" (SGD-SARAH) was selected as a winner of the 2022 Pat Goldberg Memorial Best Paper competition.
Numerical infinities and infinitesimals in optimization Abstract: In this talk, a recent computational methodology is described (see [1,2]). It has been introduced with the intention to allow one to work with infinities and infinitesimals numerically in a unique computational framework. It is based on the principle ‘The part is less than the whole’ applied to all quantities (finite, infinite, and infinitesimal) and to all sets and processes (finite and infinite). The methodology uses as a computational device the Infinity Computer (a new kind of supercomputer patented in several countries) working numerically with infinite and infinitesimal numbers that can be written in a positional system with an infinite radix. On a number of examples (numerical differentiation, divergent series, ordinary differential equations, etc.) it is shown that the new approach can be useful from both theoretical and computational points of view. The main attention is dedicated to applications in optimization (local, global, and multi-objective) (see [1,2-7]). The accuracy of the obtained results is continuously compared with results obtained by traditional tools used to work with mathematical objects involving infinity. For more information see the dedicated web page http://www.theinfinitycomputer.com and this survey: The web page developed at the University of East Anglia, UK is dedicated to teaching the methodology: https://www.numericalinfinities.com/
Brief bio: Yaroslav D. Sergeyev is Distinguished Professor at the University of Calabria, Italy and Head of Numerical Calculus Laboratory at the same university. Several decades he was also Affiliated Researcher at the Institute of High-Performance Computing and Networking of the Italian National Research Council, and is Affiliated Faculty at the Center for Applied Optimization, University of Florida, Gainesville, USA. His research interests include global optimization (he was President of the International Society of Global Optimization, 2017-2021), infinity computing and calculus (the field he has founded), numerical computations, scientific computing, philosophy of computations, set theory, number theory, fractals, parallel computing, and interval analysis. He was awarded several research prizes (International Constantin Carathéodory Prize, International ICNAAM Research Excellence Award, International Prize of the city of Gioacchino da Fiore, all in 2023; Khwarizmi International Award, 2017; Pythagoras International Prize in Mathematics, 2010; EUROPT Fellow, 2016; Outstanding Achievement Award from the 2015 World Congress in Computer Science, Computer Engineering, and Applied Computing, USA; Honorary Fellowship, the highest distinction of the European Society of Computational Methods in Sciences, Engineering and Technology, 2015; The 2015 Journal of Global Optimization (Springer) Best Paper Award; Lagrange Lecture, Turin University, Italy, 2010; MAIK Prize for the best scientific monograph published in Russian, Moscow, 2008, etc.). In 2020, he was elected corresponding member of Accademia Peloritana dei Pericolanti in Messina, Italy. Since 2020 he is included in the rating “Top 2% highly cited authors in Scopus” produced by Stanford University, the list “Top Italian Scientists. Mathematics”, the list of top researchers produced by Research.com, etc. In 2022, his biography has been published in Chinese by the journal Mathematical Culture. In 2023, the book “Primi Passi nell’Aritmetica dell’Infinito” authored by Prof. Davide Rizza from the University of East Anglia has been published. The book is dedicated to teaching the Infinity Computing methodology developed by Prof. Sergeyev. His list of publications contains more than 300 items (among them 6 authored and 11 edited books and more than 130 articles in international journals). He is a member of editorial boards of one book series (Springer), 12 international and 3 national journals and co-editor of 14 special issues. He delivered more a hundred of plenary/keynote lectures and tutorials at prestigious international congresses. He was Chairman of 7 and Co-Chairman of 8 international conferences and a member of Scientific Committees of more than 110 international congresses. In 2023, the 21st International Conference of Numerical Analysis and Applied Mathematics, Crete (Greece) has been dedicated to the achievements of Prof. Sergeyev and his 60th birthday.
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