MOCAO lectures: A/Prof Vera Roshchina, UNSW

Lectures on Convex Geometry

A/Prof Vera Roshchina, UNSW.

Monday, July, 15-Wednesday, July, 17, 11AM each day (AEST)

We go over the basics of facial structure of convex sets, starting with the finite dimensional setting. We review the tools that help study geometric properties of convex sets and to construct convex sets with desirable properties. We then focus on structured convex problems, predominantly those defined algebraically (through matrix and polynomial inequalities and representations). Finally, we review some properties and behaviours of convex sets that are specific to the infinite-dimensional setting. The fundamental mathematical ideas and phenomena will be contextualised in optimisation applications, including conic programming and projection methods.

Zoom:

https://unsw.zoom.us/j/89239495027?pwd=zMmvAkAmFZVQ4SzBhQkz6CuH4nuxwu.1

Registration for urgent updates: https://forms.gle/CGhNt3bssmqLMXcj6

MOCAO lectures: time and speakers

We are pleased to announce the 2024 MoCaO Lectures in Computation and Optimisation. For 2024 we
are focusing on Geometry and Convexity in Computation. These one-hour lectures will be held each day, and all lectures will be broadcast via Zoom.

July 15-19, 2024, 11am-12 pm AEST (GMT+10) each day

Speakers:

A/Prof Vera Roshchina (University of New South Wales): July 15-17;

Dr Isabelle Shankar (Portland State University): July, 18;

A/Prof Bruno F. Lourenço (Institute of Statistical Mathematics, Japan): July, 19.

The zoom link will be published on our website.

Registration: https://forms.gle/CGhNt3bssmqLMXcj6

MOCAO list update

Dear MOCAO members. Please note that the list of MOCAO members has been updated (as per 2024).

MoCaO Lectures:  Geometry and Convexity in Optimisation

 July 15-19, 2024

We are pleased to announce the 2024 MoCaO Lectures in Computation and Optimisation. For 2024 we
are focusing on Geometry and Convexity in Computation. These one-hour lectures will be held each day, and all lectures will be broadcast via Zoom.

July 15-19, 2024, 11-12 am AEST (GMT+10) each day

This series of lectures will introduce the theoretical tools and notions of convex geometry that stem from or are applicable to the problems of modern convex optimisation. The lectures will cover the facial structure of general and structured convex set in Euclidean spaces, as well as in general vector spaces. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field. These lectures will be given online via
Zoom. Please read the notice below regarding the registration to obtain the Zoom link.

Summary: Convex geometry is a fascinating area of simplicity and elegance yet mathematically rich. It is home to many beautiful and surprising theorems with numerous applications ranging from optimisation practical ones such as robotics, economics, and machine learning. In these year’s lectures, we go over the basics of facial structure of convex sets, starting with the finite dimensional setting. We review the tools that help study geometric properties of convex sets and to construct convex sets with desirable properties. We then focus on structured convex problems, predominantly those defined algebraically (through matrix and polynomial inequalities and representations). Finally, we review some properties and behaviours of convex sets that are specific to the infinite-dimensional setting. The fundamental mathematical ideas and phenomena will be contextualised in optimisation applications, including conic programming and projection methods.


MoCaO Lectures 2024:
Vera Roshchina (UNSW, Sydney)
Isabelle Shankar (Portland State University)
Bruno Lourenco (Institute of Statistical Mathematics, Japan)

Biographies:
A/Prof. Vera Roshchina (MoCaO lecturer 2024) is an applied mathematician working on convex and nonsmooth problems that mostly come from optimisation. Vera is currently an Associate Professor at the School of Mathematics and Statistics, UNSW Sydney. Before joining UNSW in 2018 she was an ARC DECRA Research Fellow at RMIT University and held postdoctoral positions at the University of Melbourne, Federation University Australia and University of Évora (in Portugal). In addition to DECRA Vera won 2 ARC grants and in 2021 was awarded Christopher Heyde medal by the Australian Academy of Science.

Dr. Isabelle Shankar: Isabelle Shankar is an Assistant Professor in the Fariborz Maseeh Department of Mathematics + Statistics at Portland State University.  She received her Ph.D. in Applied Mathematics in 2021 from the University of California, Berkeley under the supervision of Serkan Hoşten.  She held postdoctoral positions at University of Illinois at Urbana-Champaign and the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany before joining PSU.  Her research interests include real algebraic geometry, convex optimization, and combinatorics.

Assoc/Prof. Bruno Figueira Lourenço: BSc in Computer Science and MSc in Mathematics by the University of Brası́lia, Brazil, in 2010 and 2012, respectively.  PhD in Mathematical and Computing Sciences from the Tokyo Institute of Technology, 2016.  Worked as an assistant professor at Seikei University from 2016 to 2018 and at the University of Tokyo from 2018 to 2020. Currently is an associate professor at the Institute of Statistical Mathematics, Japan. Likes most things related to convex cones.

We encourage participants to register using the google form the bottom of the webpage (so you may receive the zoom details)

Website
and Registration:

https://forms.gle/CGhNt3bssmqLMXcj6


MoCaO Lectures: 
Mathematics of Computation and Optimisation 2024

If you have any enquiries, please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.



 



 



 



Position at Academic Level B or C

We are recruiting for one new continuing position in the Dynamics, Modelling and Computation group in the School of Computer and Mathematical Sciences at The University of Adelaide as part of an exciting investment in the future of mathematics. Please would you pass on this information to anyone you think might be interested.

The role is a continuing balanced (teaching and research) position at Academic Level B or C. We’re looking for someone who can contribute to the School’s current research strengths in dynamics, modelling, and computation.

More info here:

https://careers.adelaide.edu.au/en/job/514069/lecturer-b-senior-lecturer-c-dynamics-modelling-computation

You may be aware that The University of Adelaide and the University of South Australia are about to merge to create a new Adelaide University. We’re currently developing a new suite of Bachelor, Honours, and Masters programs with a strong stream in applied mathematics. We anticipate that the applied mathematics group in the new School of Mathematical Sciences will have a strong culture in both research and teaching.

Applications close at 11:55pm on Thursday 13 June.

Lecturer in Data Science – University of Sydney

The School of Mathematics and Statistics at the University of Sydney is recruiting a Lecturer in Data Science for a fixed term contract until 2027. Applicants with an interest in mathematical optimisation, data science and/or applied mathematics are encouraged to apply. 

Interviews will be held in late June. For more information and to apply, please visit this page: https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Lecturer-in-Data-Science_0117330-2

Computational Techniques and Applications Conference: Early bird registration closes on 1 June and abstract submission closes on 1 October.

The 2024 iteration of the biennial Computational Techniques and Applications Conference (CTAC) will be held at Monash University from 19 to 22 November 2024. The CTAC meetings are the main event in numerical mathematics and scientific computing in Australia, and have been taking place biennially since 1981, the most recent being held in 2022 at QUT. 

As organisers of the numerical optimisation stream, we would like to invite you to submit an abstract for a contributed talk in this stream. We are interested in talks related to continuous optimisation, including topics with potential links to other CTAC streams (e.g. machine learning, inverse problems, uncertainty quantification, numerical PDEs). Please feel free to extend this invitation to others who may be interested in participating, including students/postdocs and visitors. There is a prize for best student talk.

Early bird registration closes on 1 June and abstract submission closes on 1 October.

The conference webpage is here:

https://www.monash.edu/science/schools/school-of-mathematics/ctac2024

CTAC meeting 2024

The CTAC meetings are the main event in numerical mathematics and scientific computing in Australia, and have been taking place biennially since 1981, the most recent being held in 2022 at Queensland UT. This year’s event features a combination of plenary/keynote and contributed talks. 

Confirmed plenary/keynote speakers:

Santiago Badia, Monash U

Fleurianne Bertrand, TU Chemnitz

Victor Calo, Curtin U

Carsten Carstensen, Humboldt-U Berlin

Vivien Challis, QUT

Nilima Nigam, Simon Fraser U

Vijay Rajagopal, U Melbourne

Dingxuan Zhou, U Sydney

Early bird registration closes on June 1, 2024 and the abstract submission closes on October 1, 2024. All necessary information about the conference and the submission process can be accessed from 

https://www.monash.edu/science/schools/school-of-mathematics/ctac2024

Further inquires can be directed to the organising committee at ctac2024@monash.edu

OPTIMA-CON 24: Optimisation in Industry Conference July 2024

OPTIMA-CON 2024 brings together industry professionals, researchers, and students from various national and international institutions. There will be a strong career and industry focus in this conference to build work readiness and connect industry with future leaders in optimisation. A diverse range of workshops, presentations and discussion groups will be held during the conference designed to foster meaningful collaborations and knowledge transfer between academia and the private sector. Optimisation challenge workshops based on real industry problems will bring students and industry together in a common goal.

OPTIMA-CON 2024 – OPTIMA

The 15th Alexander Rubinov Memorial Lecture on February 15 at 2.30pm to 4pm

Dear colleagues,

We will have the 15th Alexander Rubinov Memorial Lecture on February 15 at 2.30pm to 4pm as a part of CSA lecture series.  This time the lecture will be given by Professor Juan Enrique Martinez-Legaz, Universitat Autonoma de Barcelona, Spain. The topic is:  Voronoi diagrams and their applications. Please use the link given below.

The lecture is intended for the broad audience.

Alexander Rubinov Memorial Lecture:

Voronoi Diagrams and Their Applications.

Juan Enrique Martinez-Legaz

Department d’Economia I d’Historia Economica

Universitat Autonoma de Barcelona

Abstract

In this talk, first I will talk about my collaboration with Professor Alexander Rubinov on many topics of nonlinear analysis and generalized convexity. Then I will discuss Voronoi diagrams and cells. Finally, I will present some interesting applications of Voronoi diagrams.

Dr Juan Enrique Martinez-Legaz is an Emeritus Professor at Universitat Autonoma de Barcelona, Spain. He received his PhD degree in Mathematics on 1981 from the University of Barcelona, Spain. He was awarded Doctor Honoris Causa, Universidad Nacional de Ingeniería (Lima, Peru, 2011) and EUROPT Fellow 2011. Professor Martinez-Legaz is serving on the editorial board of many international journals in optimization and operations research, including Journal of Global Optimization, Optimization, Journal of Optimization Theory and Applications. Since 1981 he delivered more than 100 keynote and invited talks in different international conferences. His research areas include continuous optimization, operator theory, convex and discrete geometry and economics.

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