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        "time_zone":"America\/Detroit",
        "event_title":"MIPSE Seminar | Material Properties Inside Stars and Fusion Plasmas",
        "occurrence_title":"",
        "combined_title":"MIPSE Seminar | Material Properties Inside Stars and Fusion Plasmas: Dr. Charles Starrett, Los Alamos National Laboratory",
        "event_subtitle":"Dr. Charles Starrett, Los Alamos National Laboratory",
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        "description":"Abstract: \nAccurate simulations of fusion experiments or astrophysical objects like stars need material data such as equation of state, opacity and particle transport coefficients of matter under extreme conditions. This means we need to understand how matter behaves when it is very hot (10,000 to 100,000,000 K) and at high density (1 to 1,000,000 g\/cm3). In this regime, atoms are partially ionized and significantly overlap, meaning that the usual low-density plasma physics methods are inaccurate. In our research group at Los Alamos National Laboratory, we have developed methods to accurately model these plasmas. In this talk I will review the progress we have made and some of the major outstanding challenges in this rapidly developing field.\n\nAbout the Speaker: \nDr. Charles Starrett received his PhD from the Queen\u2019s University of Belfast in 2007, where he worked on positronium collisions with matter. He went from there to a postdoctoral position at the French Alternative Energies and Atomic Energy Commission (CEA), where he began to study the structure of matter in warm and hot dense plasmas. In 2010 he joined Los Alamos National Laboratory to continue this work and still works in this field today. He has developed models to predict material properties such as equation of state, particle transport and opacity for applications ranging from fusion to astrophysics.\n\nThe seminar will be conducted in person, with livestream on Zoom. For more information, please check the MIPSE website: https:\/\/mipse.umich.edu\/seminars_2627.php#fall2026",
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        "tags":["Astrophysics","Fusion","Lecture","Michigan Engineering","Physics","Plasma","Research","seminar"],
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        "event_title":"Algebraic Geometry Seminar: Proof of Miyanishi's conjecture on endomorphisms of varieties",
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        "combined_title":"Algebraic Geometry Seminar: Proof of Miyanishi's conjecture on endomorphisms of varieties: Supravat Sarkar (Princeton University)",
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        "description":"If X is a quasi-projective variety over a field k and f is a birational endomorphism of X that is injective outside a closed subset of codimension at least 2, we prove that f is an automorphism. This generalizes an old theorem of Ax and proves a conjecture of Miyanishi from 2005. A key step in our proof is a finiteness result on class groups, which is of interest in its own right.",
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        "event_title":"German Convo on the Go",
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        "combined_title":"German Convo on the Go",
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        "event_type":"Social \/ Informal Gathering",
        "event_type_id":"19",
        "description":"Meet at Burton Tower for a 1-hour walk and talk in German with Mary Gell (magell@umich.edu). This event happens 'rain or shine.' Open to speakers of German at all levels.",
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        "tags":["Language","Humanities","Germanic Languages And Literatures","German Studies","German","European"],
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        "event_title":"Pizza with Professors: Undergraduate Program in Neuroscience",
        "occurrence_title":"",
        "combined_title":"Pizza with Professors: Undergraduate Program in Neuroscience",
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        "event_type":"Social \/ Informal Gathering",
        "event_type_id":"19",
        "description":"Join us for an informal meeting to eat and network with faculty! All undergraduate students majoring or minoring in a UPiN program are encouraged to join department faculty for pizza and light conversation during the designated event time below. Students considering a major or minor in one of our programs are welcome to attend as well. Find out more about our majors on our website!\n\nPlease register for this and our other events here: https:\/\/sessions.studentlife.umich.edu\/p\/track\/17925",
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        "datetime_modified":"20260914T171857",
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        "event_title":"Probability and Analysis Seminar: Non-abelian Hirota\u2013Miwa Equations for the KPZ Universality Class",
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        "combined_title":"Probability and Analysis Seminar: Non-abelian Hirota\u2013Miwa Equations for the KPZ Universality Class: C. Alexander Rodriguez (Umich)",
        "event_subtitle":"C. Alexander Rodriguez (Umich)",
        "event_type":"Workshop \/ Seminar",
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        "description":"Abstract: The KPZ universality class is a broad collection of mathematical and physical models linked through their shared universal scaling behavior. A privileged subset, known as exactly solvable models, possess algebraic structure that allows for exact formulas for their probability distributions.\n\nFor an even smaller subset of these models, their distributions have been shown to satisfy nonlinear equations from classical integrable systems, including Painlev\u00e9, KP, and Toda equations. Why should equations from soliton theory appear in random growth, and why do they keep reappearing across different models?\n\nI will describe a framework that gives a common algebraic explanation and extends this connection to eighteen exactly solvable models. The framework organizes the Fredholm determinant formulas of solvable KPZ models into an overdetermined linear problem whose compatibility conditions reveal a discrete integrable structure gauge equivalent to the non-abelian Hirota\u2013Miwa equation.",
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        "datetime_modified":"20261005T202116",
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        "event_title":"Program in Biology & Undergraduate Program in Neuroscience Events 2026 - 2027",
        "occurrence_title":"Pizza with Professors - Neuroscience",
        "combined_title":"Program in Biology & Undergraduate Program in Neuroscience Events 2026 - 2027: Pizza with Professors - Neuroscience",
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        "description":"Events in this track are open to all current and prospective PiB and UPiN students. We hope to see you!\n",
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    {
        "datetime_modified":"20260407T124520",
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        "has_end_time":1,
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        "time_zone":"America\/Detroit",
        "event_title":"Robust and Risk-Sensitive Acceleration in Gradient Methods",
        "occurrence_title":"",
        "combined_title":"Robust and Risk-Sensitive Acceleration in Gradient Methods: Mert Gurbuzbalaban, Rutgers",
        "event_subtitle":"Mert Gurbuzbalaban, Rutgers",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"First-order methods such as gradient descent (GD) are foundational in optimization. In unconstrained problems with exact gradients, momentum-based methods\u2014most notably Nesterov\u2019s accelerated gradient descent (AGD) and Polyak\u2019s heavy-ball (HB) method\u2014achieve faster convergence by improving dependence on the condition number. However, this acceleration comes at a cost: momentum amplifies gradient noise, making these methods less robust than GD under standard parameter choices and requiring more accurate gradient estimates to attain comparable accuracy. Similar challenges arise in convex and nonconvex min\u2013max optimization.\nMotivated by applications in machine learning, this talk studies unconstrained and min\u2013max optimization under deterministic, unbiased stochastic, and biased stochastic gradient noise. I will present new algorithms that achieve optimal robustness against different noise types, using control-theoretic tools such as the H_2\u200b norm, the H_\u221e\u200b norm, and the risk-sensitivity index, together with coherent risk measures. I will also discuss worst-case noise constructions and high-probability convergence guarantees. This perspective builds a bridge between optimization and robust control theory and enables the design of noise-robust and risk-sensitive accelerated methods.\nRepresentative Publications:\nM. G\u00fcrb\u00fczbalaban, Y. Syed, N. S. Aybat, Accelerated gradient methods with biased gradient estimates: Risk sensitivity, high-probability guarantees, and large deviation bounds, Journal of Nonlinear and Variational Analysis, 2026 (Special Issue). https:\/\/jnva.biemdas.com\/archives\/2927\nM. G\u00fcrb\u00fczbalaban, Robustly Stable Accelerated Momentum Methods with a Near-Optimal L_2\u200b Gain and H_\u221e\u200b Performance, Mathematics of Operations Research, 2025.\nhttps:\/\/pubsonline.informs.org\/doi\/abs\/10.1287\/moor.2023.0321\nB. Can and M. G\u00fcrb\u00fczbalaban, Entropic risk-averse generalized momentum methods, Optimization Methods and Software, 2025. https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/10556788.2025.2549356",
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