7-weeks PhD course on MM Optimization Algorithms with Machine Learning Applications

Digital Futures welcome PhD students and master students interested in research!

The main objective of this PhD course, by Dr Chathuranga Weeraddana, is to introduce the theory of MM (minimize a majorization) principle with an emphasis on related optimization algorithms and their applications to machine learning.

Course dates: 6 April, 20 April, 27 April, 4 May, 11 May, 17 May and 18 May
Course lecturer: Dr Chathuranga Weeraddana: Digital Futures scholar in residence

For more information visit the course website here.

For questions please contact: Carlo Fischione: carlofi@kth.se

 

More news

Black, bold, uppercase letters spelling HITACHI centred on a white background.

Hitachi Energy – new partner in the Digital Futures Industrial & Societal Partnership Program

16/09/2025

Joining forces to accelerate a sustainable energy future through digitalization Digitalization has the potential to...

A man in a grey shirt and jeans stands in a modern office corridor with wooden walls. A window labelled “digital future.” is visible beside him. Overhead lights and an emergency exit sign illuminate the space.

Scholar-in-Residence Paul Walton is bridging chemistry, equality, and digital futures

03/09/2025

Paul Walton, a leading figure in bioinorganic chemistry and an internationally known advocate for equality...

A woman interviews a man with glasses in a lab setting, holding a TV4 microphone. Behind them, a screen displays a Volvo car dashboard. Swedish text and project headline appear on the screen.

CAVeaT project featured on Swedish national TV

01/09/2025

On 5 June 2025, the Connected Automated Vehicles trialling and Trustworthiness (CAVeaT) project at KTH was highlighted on Nyhetsdagen,...

People stand and converse in a modern, wood-panelled corridor while viewing research posters on the walls at a conference or academic event. Some attendees are reading posters, whilst others are talking in small groups.

Digital Futures Summer Research Internship 2025 concluded with poster session

28/08/2025

The Digital Futures Summer Research Internship (SRI) 2025, which ran for eight weeks from June...