Adaptive Stepsize Algorithms Professors and Supervisors

Renato D. C. Monteiroمشاهده پروفایل

استاد

Georgia Institute of TechnologyUnited States

Renato D. C. Monteiro is the Coca-Cola Foundation Chair Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He earned his Ph.D. from the University of California, Berkeley in 1988 and previously served on the faculty at the University of Arizona (1990-1993). His research is funded by NSF, ONR, and AFOSR. Monteiro specializes in continuous optimization and algorithm complexity , with focus areas including large-scale linear/semidefinite programming, variational inequalities, and convex/nonconvex optimization. He develops theoretical frameworks and computational tools for complex optimization challenges. His recent publications (2023-2025) predominantly explore proximal methods, ADMM variants, and stochastic optimization for convex/nonconvex problems. Key themes include adaptive algorithms, complexity analysis, GPU acceleration, and applications in large-scale systems. Awards: INFORMS Computing Society Prize (2001, 2020) SIAG/OPT Test of Time Award (2023) INFORMS Khachiyan Prize (2023) He directs research through Georgia Tech's multidisciplinary Algorithms, Combinatorics, and Optimization (ACO) Ph.D. program and maintains editorial roles for leading OR/mathematics journals.

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Jean-Jacques Strodiotمشاهده پروفایل

استاد

University of NamurBelgium

Jean-Jacques Strodiot is a Professor in the Department of Mathematics at the University of Liège's Faculty of Science. With a research career spanning over 45 years from 1977 to 2022, he has established himself as a leading expert in optimization theory and numerical methods. His research focuses on equilibrium problems, variational inequalities, and numerical optimization techniques. Key areas include algorithms development, convergence analysis, Hilbert space methods, and regularization techniques. His work bridges theoretical mathematics with practical computational approaches, making significant contributions to both pure and applied mathematics. Analysis of his 76 research outputs reveals a consistent focus on developing and analyzing algorithms for equilibrium problems and variational inequalities. His recent work (2017-2022) emphasizes strongly convergent algorithms, adaptive regularization parameters, and innovative stepsize rules that improve numerical performance. The research shows strong interdisciplinary connections between optimization theory, functional analysis, and computational mathematics. As Principal Investigator on 11 research projects, Professor Strodiot has secured substantial research funding. His projects include 'Duality and characterization of optimality for equilibrium problems,' 'Approximate solutions and Lagrangian duality for semi-infinite mathematical programming problems,' and 'Extension of proximal methods to equilibrium problems.' Professor Strodiot has maintained strong international collaborations, particularly with Vietnamese institutions. His teaching missions to Vietnam National University in Ho Chi Minh City demonstrate his commitment to academic exchange. He has supervised 90 students throughout his career, contributing significantly to mathematical education and research training.

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Philip Bullingمشاهده پروفایل

استاد

Esslingen University of Applied SciencesGermany

Prof. Dr.-Ing. Philip Bulling serves as Professor at Esslingen University of Applied Sciences within the School of Economics and Technology. His expertise centers on electrical engineering, electronics, and digitization with specialized focus on automotive applications. His academic foundation includes a Bachelor's degree in Mechatronics (2008-2012) and Master's in Electrical Engineering (2012-2015), both completed at Ulm University of Applied Sciences. During his master's studies, he concurrently worked as a Research Associate at Ulm University (2012-2014), establishing early research experience. Prof. Bulling's research bridges digital signal processing and real-world automotive systems, particularly in-car communication. His work develops practical solutions for acoustic feedback cancellation, speech intelligibility enhancement, and real-time processing constraints. The publication timeline reveals concentrated academic output between 2016-2021 followed by industry-focused roles, with recent expansion into sports science applications for climbing. His professional trajectory shows deep industry integration: 3 years as PhD researcher at Daimler AG, 5 years as Senior Research Engineer at Cerence, and a final industry role as Lead ADAS Systems Engineer at Nikola-Iveco Europe in 2023 before transitioning to academia. This background ensures curriculum relevance and strong industry connections for student projects. Students seeking supervision should note his preference for applied engineering topics. Contact requires email coordination as consultation hours operate by appointment only. His ORCID profile documents all scholarly outputs for reference.

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