The SaS Seminars are a permanent series of open seminars of the Division of Software and Systems (SaS) at the Department of Computer and Information Science (IDA), Linköping University. The objective of the seminars is to present outstanding research and ideas/problems relevant for SaS present and future activities. In particular, seminars cover the SaS research areas software engineering, programming environments, system software, embedded SW/HW systems, computer systems engineering, realtime systems, parallel and distributed computing, and theoretical computer science. -
Two kinds of seminars are planned:

• talks by invited speakers not affiliated with SaS,

• internal seminars presenting lab research to whole SaS (and other interested colleagues).

The speakers are expected to give a broad perspective of the presented research, adressing the audience with a general computer science background but possibly with no specific knowledge in the domain of the presented research. The normal length of a presentation is 60 minutes, including discussion.

The SaS seminars are coordinated by Christoph Kessler.

Scientific Machine Learning: Where We Are and Where We Need To Go

Dr. Chris Rackaukas, MIT

Friday, 10 June 2022, 10:15, room John von Neumann

Abstract:
Scientific machine learning (SciML) methods allow for the automatic discovery of mechanistic models by infusing neural network training into the simulation process. In this talk we will start by showcasing some of the ways that SciML is being used, from discovery of extrapolatory epidemic models, development of earthquake-safe buildings, to nonlinear mixed effects models in pharmacology. From there, we will discuss some of the increasingly advanced computational techniques behind the training process, focusing on the numerical issues involved in handling differentiation of highly stiff and chaotic systems. The viewers will leave with an understanding of how compiler techniques are being infused into the simulation stack to increasingly automate the process of developing mechanistic models.

Short bio:
Chris is a Research Affiliate in MIT CSAIL and previously an Applied Mathematics Instructor at MIT. Chris is the lead developer of the SciML Open Source Software Organization, which includes DifferentialEquations.jl solver suite along with hundreds of state-of-the-art packages for mixing machine learning into mechanistic modeling. Chris' work on high performance differential equation solving is the engine accelerating many applications from the MIT-CalTech CLiMA climate modeling initiative. As the Director of Scientific Research at Pumas-AI, Chris is the lead developer of Pumas, where Chris received the Emerging Scientist award from ISoP, the highest early career award in pharmacometrics. As the Director of Modeling and Simulation at Julia Computing, Chris is the lead developer of JuliaSim, where the work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award.

Switching the current - A megagame for improved understanding of energy systems

Dr. Ola Leifler, Department of Computer and Information Science, Linköping.

Thursday, 30 September 2021, 15:15-16:15, on zoom
(zoom link sent out by email to IDA; others who would like to attend please contact C. Kessler for the access data.)

Abstract:
This talk will present both a short background to and an overview of an upcoming cross-disciplinary research project with members from both several parts of LiU and two other university colleges. Originally, the project started as a pedagogical project that grew to become something much bigger. The goal of the project is to create a platform that enables increased, multi-perspectival understanding of energy systems, society, environment, and climate. Energy systems are complex, with a range of stakeholders and conflicting aims. A pedagogical challenge is to increase mutual understanding among relevant actors from a systems perspective. The project will develop a simulation-based megagame, conduct and study the outcome of several playtests in the coming years. The megagame simulates a region, its power relations, events, and values connected to the region's needs, production capabilities, and consequences for the environment and climate. The game's format is intended to provide a customizable platform that facilitates dialog and in-depth understanding of simulated events.

Short bio:
Ola Leifler is a senior lecturer at PELAB and shares his time between IDA and Didacticum. His main research interest is in understanding what can lead to radical shifts in our thinking so that we can contribute actively to the large-scale transformation that is needed for a sustainable society.

Previous SaS Seminars

Previous SaS Seminars

• 2020
• 2019
• 2018
• 2017
• 2016
• 2015
• 2014
• 2013
• 2012
• 2011
• 2010
• 2009
• 2008
• 2007
• 2006
• 2005
• 2004
• 2003
• 2002
• 2001

Page responsible: Christoph Kessler
Last updated: 2022-06-07