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The University of Southampton
Southampton SIAM Student Chapter

Seminars

This is the list of seminars on Optimisation and Machine Learning aimed at postgraduate students and researchers. They take place in the School of Mathematics, Ketley Room (54/4001) and online normally each Monday at 2pm. If you are interested in attending or presenting, please contact s.ward@soton.ac.uk and a.b.zemkoho@soton.ac.uk.

 

Upcoming Seminars

Date

SpeakerTopic/Title
25 Mar 2023 Benjamin Rees Derivative-Free Stochastic Optimisation Techniques
01 Apr 2023 No Seminar! (Easter Break)
08 Apr 2023 No Seminar! (Easter Break)
15 Apr 2023 Hanyu Wang (Guest) Interpretable Deep Learning Forward and Reverse Primer Design to Detect SARS-CoV-2 Emerging Variants
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Past Seminars

DateSpeakerTopic/Title
11 Mar 2023 John Wu  An Introduction to the Vehicle Routing Problem: Heuristic and Meta-heuristic Approachs
04 Mar 2023 Montree Jaidee A Sample Approximation Approach for Optimization with Probabilistic Constraints
19 Feb 2023 Marah Thormann Outlier Detection and Robust Regression
12 Feb 2023 David Benfield Neural Networks for Image Generation and Classification and their Vulnerabilities
05 Feb 2023 Samuel Ward Complexity, Modeling and Algorithms for the Cleaning Schedule Problem
29 Jan 2023 Pradeep Kumar Sharma Set Order Relations and Set-valued Optimization
11 Dec 2023 Samuel Ward Christmas Optimisation Quiz
04 Dec 2023 Bruce Zhou Combinatorial optimisation, Spanning Trees and Arborescences
27 Nov 2023 Weizhao Su  A Markov Decision Process (MDP) based route choice
20 Nov 2023 Montree Jaidee Prime number programming
13 Nov 2023 Mohamed (Guest) A Survey in Bilevel Optimal Control and Applications
06 Nov 2023 Benjamin Rees Solving Inverse Problems using Topological Data Analysis
30 Oct 2023 Yaru Qian A brief introduction to proximal algorithms in machine learning
23 Oct 2023 Lateef Jolaoso Iterative methods for composite optimization problems
16 Oct 2023 Selin Ahipasaoglu A first-order algorithm for the A-optimal experimental design problem: a mathematical programming approach
09 Oct 2023 David Benfield Game Theory and its applications to Adversarial Machine Learning
02 Oct 2023 Samuel Ward A Presentation of Dempe and Dutta’s 2012 Paper
29 Sep 2023 Daniel Hoff (Guest) A Branch-and-Bound method for semivectorial bilevel problems
17 Jul 2023 Lateef Jolaoso Semismooth Newton-type method for pessimistic bilevel optimization
10 Jul 2023 Weizhao Su Modelling the Route Choice Decision
03 Jul 2023 Montree Jaidee Iterative Polyhedral Approximation Spatial Branch-and-Bound
12 Jun 2023 David Benfield Adversarial Machine learning
05 Jun 2023 Penghe Zhang Global and Local Convergence-Rate Analysis of an Inexact Newton Augmented Lagrangian Method for Zero-One Composite Optimization
22 May 2023 Marah Thormann Optimization algorithms for machine learning
24 Apr 2023 Samuel Ward Solving a large system of equations
20 Mar 2023 Samuel & Marah The Biofouling Project
06 Mar 2023 Montree Jaidee Tightening big Ms in integer programming formulation for SVM with ramp loss.
27 Feb 2023 Marah Thormann Bilevel Optimization – Difference of Convex Algorithm
20 Feb 2023 David Benfield Applying Machine Learning Techniques to Predict Multimorbidity in Patients with Endometriosis
13 Feb 2023 Yaru Qian Hyperparameter Selection in Machine Learning via Bilevel Optimization
06 Feb 2023 Michal Grudzien (Guest) Can 5th Generation Local Training Methods Support Client Sampling? Yes!
30 Jan 2023 Samuel Ward An Overview of Bilevel Optimisation
23 Jan 2023 Montree Jaidee Support Vector Machine with Ramp Loss
16 Jan 2023 Marah Thormann Markowitz Style Portfolio Selection - Boosted Difference of Convex Algorithm
09 Jan 2023 David Benfield A Solution Method for Adversarial Machine Learning
12 Dec 2022 Samuel Ward Cone, Stationarity Concepts and Constraint Qualifications
05 Dec 2022 Montree Jaidee Support Vector Machines with Hard-Margin Loss using Mixed-Integer Optimization Techniques
28 Nov 2022 Marah Thormann Value-at-Risk (VaR) Constraint Portfolio Optimization Using the Boosted Difference of Convex Algorithm
21 Nov 2022 David Benfield Modelling Adversarial Machine Learning Scenarios
14 Nov 2022 Samuel Ward Bilevel Optimisation for Hyperparameter Tuning
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