Mats Jirstrand

Mats Jirstrand

Chalmers tekniska högskola

H-index: 28

Europe-Sweden

About Mats Jirstrand

Mats Jirstrand, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of data analysis, system identification, machine learning, applied artificial intelligence, pharmacometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effects on district heating networks by introducing demand side economic model predictive control

Data-driven analysis and prediction of dynamic postprandial metabolic response to multiple dietary challenges using dynamic mode decomposition

Identification of metabotypes in complex biological data using tensor decomposition

Model‐based prediction of progression‐free survival for combination therapies in oncology

Online geometry assurance in individualized production by feedback control and model calibration of digital twins

SKA Science Data Challenge 2: analysis and results

MCMC-Correction of Score-Based Diffusion Models for Model Composition

The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles

Mats Jirstrand Information

University

Position

Associate Professor, Head of Department, Fraunhofer-Chalmers Centre

Citations(all)

3241

Citations(since 2020)

1511

Cited By

2272

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

53

i10Index(since 2020)

34

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

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Mats Jirstrand Skills & Research Interests

data analysis

system identification

machine learning

applied artificial intelligence

pharmacometrics

Top articles of Mats Jirstrand

Title

Journal

Author(s)

Publication Date

Effects on district heating networks by introducing demand side economic model predictive control

Energy and Buildings

Henrik Håkansson

Magnus Önnheim

Emil Gustavsson

Mats Jirstrand

2024/4/15

Data-driven analysis and prediction of dynamic postprandial metabolic response to multiple dietary challenges using dynamic mode decomposition

Frontiers in Nutrition

Viktor Skantze

Mats Jirstrand

Carl Brunius

Ann-Sofie Sandberg

Rikard Landberg

...

2024/1/12

Identification of metabotypes in complex biological data using tensor decomposition

Chemometrics and Intelligent Laboratory Systems

Viktor Skantze

Mikael Wallman

Ann-Sofie Sandberg

Rikard Landberg

Mats Jirstrand

...

2023/2/15

Model‐based prediction of progression‐free survival for combination therapies in oncology

CPT: Pharmacometrics & Systems Pharmacology

Marcus Baaz

Tim Cardilin

Mats Jirstrand

2023/9

Online geometry assurance in individualized production by feedback control and model calibration of digital twins

Journal of Manufacturing Systems

Anders Sjöberg

Magnus Önnheim

Otto Frost

Constantin Cronrath

Emil Gustavsson

...

2023/2/1

SKA Science Data Challenge 2: analysis and results

Monthly Notices of the Royal Astronomical Society

P Hartley

A Bonaldi

R Braun

JNHS Aditya

S Aicardi

...

2023/8

MCMC-Correction of Score-Based Diffusion Models for Model Composition

arXiv preprint arXiv:2307.14012

Anders Sjöberg

Jakob Lindqvist

Magnus Önnheim

Mats Jirstrand

Lennart Svensson

2023/7/26

The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles

arXiv preprint arXiv:2311.17621

Adrian Nilsson

Simon Smith

Jonas Hagmar

Magnus Önnheim

Mats Jirstrand

2023/11/29

Model-based assessment of combination therapies–ranking of radiosensitizing agents in oncology

BMC cancer

Marcus Baaz

Tim Cardilin

Floriane Lignet

Astrid Zimmermann

Samer El Bawab

...

2023/5/6

Analysis and Prediction of Postprandial Metabolic Response to Multiple Dietary Challenges Using Dynamic Mode Decomposition

Proceedings

Viktor Skantze

Mats Jirstrand

Carl Brunius

Ann-Sofie Sandberg

Rikard Landberg

...

2023/11/15

Utilization of convolutional neural networks for H I source finding-Team FORSKA-Sweden approach to SKA Data Challenge 2

Astronomy & Astrophysics

Henrik Håkansson

Anders Sjöberg

Maria Carmen Toribio

Magnus Önnheim

Michael Olberg

...

2023/3/1

Differential Responders to a Mixed Meal Tolerance Test Associated with Type 2 Diabetes Risk Factors and Gut Microbiota—Data from the MEDGI-Carb Randomized Controlled Trial

Nutrients

Viktor Skantze

Therese Hjorth

Mikael Wallman

Carl Brunius

Johan Dicksved

...

2023/10/15

An integrative pharmacokinetic-cardiovascular physiology modelling approach based on in vivo dog studies including five reference compounds

Journal of Pharmacological and Toxicological Methods

Mikael Wallman

Jens Markus Borghardt

Eric Martel

Nicolas Pairet

Michael Markert

...

2022/5/1

Exposure-response modeling improves selection of radiation and radiosensitizer combinations

Journal of Pharmacokinetics and Pharmacodynamics

Tim Cardilin

Joachim Almquist

Mats Jirstrand

Astrid Zimmermann

Floriane Lignet

...

2022/4/1

A stochastic mixed effects model to assess treatment effects and fluctuations in home‐measured peak expiratory flow and the association with exacerbation risk in asthma

CPT: Pharmacometrics & Systems Pharmacology

Jacob Leander

Mats Jirstrand

Ulf G Eriksson

Robert Palmér

2022/2

Optimized scaling of translational factors in oncology: from xenografts to RECIST

Cancer Chemotherapy and Pharmacology

Marcus Baaz

Tim Cardilin

Floriane Lignet

Mats Jirstrand

2022/9

Population Modeling of Toxicological Combination Effects

Marcus Baaz

Tim Cardilin

Mats Jirstrand

Torbjörn Lundh

2022

Optimizing study design in LPS challenge studies for quantifying drug induced inhibition of TNFα response: Did we miss the prime time?

European Journal of Pharmaceutical Sciences

Julia Larsson

Edmund Hoppe

Michael Gautrois

Marija Cvijovic

Mats Jirstrand

2022/9/1

Sparse inversion of stacked autoencoder classification machines

Alex Sarishvili

Mats Jirstrand

Benjamin Adrian

Andreas Wirsen

2022/8/17

Optimization of additive chemotherapy combinations for an in vitro cell cycle model with constant drug exposures

Mathematical Biosciences

Tim Cardilin

Torbjörn Lundh

Mats Jirstrand

2021/8/1

See List of Professors in Mats Jirstrand University(Chalmers tekniska högskola)

Co-Authors

H-index: 158
Jens Nielsen

Jens Nielsen

Chalmers tekniska högskola

H-index: 71
Stefan Hohmann

Stefan Hohmann

Chalmers tekniska högskola

H-index: 62
Vassily Hatzimanikatis

Vassily Hatzimanikatis

École Polytechnique Fédérale de Lausanne

H-index: 39
Peter Fritzson

Peter Fritzson

Linköpings Universitet

H-index: 34
Mattias Goksör

Mattias Goksör

Göteborgs universitet

H-index: 32
Johan Malmqvist

Johan Malmqvist

Chalmers tekniska högskola

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