"Subject to" offers a series of informal conversations with relevant figures in the fields of Operations Research, Combinatorial Optimization and Logistics, and they are hosted by Anand Subramanian, an Associate Professor at Universidade Federal da Paraíba, Brazil.
About the host:
Anand was born and raised in João Pessoa, Brazil. His parents are Indian immigrants who moved to Brazil in the early 1970s. He is an author of more 60 articles published in prestigious international journals.
Alfredo Noel Iusem graduated as Licenciado en Matemática at Universidad de Buenos Aires in 1971, as M.Sc. in Operations Research at Stanford University in 1979, and as PhD in Operations Research at Stanford University in 1981. He was a researcher at Instituto de Matemática Pura e Aplicada (IMPA) in Rio de Janeiro from 10/01/1981 to 09/05/2023. Currently, he is Full Professor at the School of Applied Mathematics (EMAp) of the Fundação Getulio Vargas (FGV) in Rio de Janeiro. During his 42 years at IMPA, he was Scientific Information Coordinator, Scientific Activities Coordinator coordinator of the MS Program on Mathematical Methods in Finance, member of the Scientific and Technical Council, member of the Administration Board, and director of the Optimization Seminar since its inception in 1992. Outside IMPA, he was member and later on coordinator of the Mathematics and Statistics Committee of the National Council of Scientific and Technological Development (CAMA/CNPq) and chair of the Steering Committee of the Working Group on Generalized Convexity and Monotonicity. He supervised 16 PhD students at IMPA and has published three books and 164 scientific papers in peer-reviewed journals. He has been associate editor of Journal of Optimization Theory and Applications, Set-Valued and Variational Analysis, Numerical Functional Analysis and Optimization and Journal of Nonlinear and Variational Analysis. He is Member of the Brazilian Order of Scientific Merit, member of the Brazilian Academy of Sciences (ABC), member of the Developing World Academy of Sciences (TWAS), and Fellow of the Society of Industrial and Applied Mathematics (SIAM).
21 Sept 2026
Subject to: Donald Goldfarb
Donald Goldfarb is the Avanessians Professor in the IEOR Department at Columbia University. He is internationally recognized for the development and analysis of efficient and practical algorithms for solving various classes of optimization problems, including the BFGS quasi-Newton method for unconstrained optimization, steepest-edge simplex algorithms for linear programming, and the Goldfarb-Idnani algorithm for convex quadratic programming. Don has also developed highly cited methods for image de-noising, compressed sensing, matrix rank minimization, and robust portfolio selection. In addition, he has developed simplex and combinatorial algorithms for network flow problems, interior-point methods for linear, quadratic and conic programming, and alternating linearization methods for sums of convex functions. He is a Member of the National Academy of Engineering, a recipient of the INFORMS John Von Neumann Theory Prize for Fundamental, Sustained Contributions to Theory in Operations Research and the Management Sciences, the Khachiyan Prize for Life-time Accomplishments in Optimization, and 1995 Prize for Research Excellence in the Interface between Operations Research and Computer Science. He is a SIAM Fellow, and was cited in 2014 by Thomson Reuters as one of World’s Most Influential Scientific Minds (specifically, among the top 1% most cited researchers in Mathematics between 2002 and 2012). Don has served as an editor-in-chief of Mathematical Programming, an editor of the SIAM Journal on Numerical Analysis and the SIAM Journal on Optimization, an associate editor of Mathematics of Computation, Operations Research and Mathematical Programming Computation, and is an editorial board member of Foundation and Trends in Optimization.
27 Jul 2026
Subject to: Philippe Toint
Philippe Toint is an emeritus professor of mathematics at the University of Namur, Belgium, specializing in numerical analysis, OR, and continuous optimization. His academic career has centered on the theory, computation, and software design of large-scale nonlinear optimization, including the co-development of the LANCELOT software package and contributions to trust-region and filter methods. Philippe has co-authored several books and about 200 papers, the vast majority of which were published in highly regarded journals. He was elected a SIAM Fellow in 2009, received the Beale-Orchard-Hays Prize in 1994, and the Lagrange Prize in Continuous Optimization in 2006. He also served as Chair of the Mathematical Optimization Society from 2010 to 2012.
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YouTube views
104,343
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
7 ratings
Spotify
5.0 / 5
41 ratings
Podcast Authority Score: 80 / 100
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Quality
91
Social presence
0
YouTube
86
Engagement
85
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