List of selected seminars at the division of Systems and Control before 2021
To find the abstracts under the following links, please select the year of interest in the drop-down menu on the top right after following the link. The page will then automatically refresh and land on the specified abstract.
Fall 2020
- Antonio Luiz P. Ribeiro, Universidade Federal de Minas Gerais: AI4Research: Digital health in cardiology – from telemedicine to AI
- Licentiate seminar, David Widmann: Calibration of probabilistic predictive models
- Thomas Schön, Uppsala University: AI4Research: Open talk on AI for research and new results on deep regression
- Lawrence Murray, Uber AI: Programmatic Models and Probabilistic Programming
- Dissertation, Fredrik Olsson: Inertial motion capture for ambulatory analysis of human movement and balance
Spring 2020
- Licentiate seminar, Anna Wigren: Exploiting conjugacy in state-space models with sequential Monte Carlo
- Licentiate seminar, Muhammad Osama: Machine learning for spatially varying data
- Alla Tarighati, SEB AB: Applications of Statistical Machine Learning in Finance
Fall 2019
- Fredrik Johansson, Chalmers University of Technology: Machine learning, causality and decision-making
- Dominik Baumann, Max Planck Institute for Intelligent Systems, Tübingen: Feedback Control and Causal Identification for Wireless Cyber-physical Systems
- Licentiate seminar, Carl Andersson: Deep Learning Applied to System Identification: A Probabilistic Approach
- Licentiate seminar, Carl Jidling: Tailoring Gaussian processes for tomographic reconstruction
- James Hensman, PROWLER.io: Variational inference in Gaussian processes; with application to forecasting in supply chain management
- Adrian Wills, University of Newcastle: Maximum-Likelihood parameter estimation for Jump Markov Linear Systems
Spring 2019
- Dissertation, Diana Yamalova: Hybrid observers for systems with intrinsic pulse-modulated feedback
- Simon Olofsson, Imperial College London: Design of experiments for model discrimination using Gaussian process surrogates
- Arno Solin, Aalto University: Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
- Amit Mitra, Indian Institute of Technology Kanpur: Approximate least squares estimator of the parameters of chirp signal and related models: Some asymptotic results
- André Teixeira, Uppsala University: Secure Control Systems: an overview with connections to fault-tolerance
- Licentiate seminar, Viktor Bro: Volterra Modeling of the Human Smooth Pursuit System in Health and Disease
- Rosane Ushirobira, Inria, Lille: Control theory methods in Human-Computer Interaction
- Jack Umenberger, Uppsala University: Learning robust LQ-controllers using application oriented exploration
- Dave Zachariah, Uppsala University: Reliable Semi-Supervised Learning when Labels are Missing at Random
- Jan Decuyper, Vrije Universiteit Brussel: Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling
- Rodolphe Sepulchre, University of Cambridge: Control theory of switches and clocks
Fall 2018
- Ramon Delgado, University of Newcastle: Delay alignment in NR multi-point connections
- Manon Kok, TU Delft: Magnetic Field SLAM
- Lennart Ljung, Linköping University: Data Science: From System Identification to (Deep) Learning and Big Data
- Anton Selivanov, KTH: Lyapunov-based analysis of TDSs and PDEs
- Carl Rasmussen, Cambridge University: Variational Inference in Gaussian Processes for non-linear time series
- Dissertation, Andreas Svensson: Machine learning with state-space models, Gaussian processes and Monte Carlo methods
- Jens Berg, Uppsala University: Neural networks and partial differential equations
- Martin Danelljan, Linköping University: Learning Convolution Operators for Visual Tracking
Spring 2018
- Beatriz Villarroel, Uppsala University: Challenges for IT in transient astronomy
- Bo Bernhardsson, Lund University: Iterative Learning Control in practice and theory
- Licentiate seminar, Fredrik Olsson: Modeling and Assessment of Human Balance and Movement Disorders using Inertial Sensors
- Dissertation, Ruben Cubo: Model-based Optimization for Individualized Deep Brain Stimulation
- Thomas Seel, Technische Universität Berlin: Controlling the Most Complex "Robotic" System When its Embedded Controller Fails
- Koen Tiels, Uppsala University: Hamiltonian Monte Carlo to sample from Gaussian mixture models
- Zenith Purisha, Department of Electrical Engineering and Automation, Aalto University: 3D reconstruction of human trabecular bone using sparse X-ray tomography
- Xiuming Liu, Uppsala University: Composite Gaussian Processes: Scalable Computation and Performance Analysis
- Licentiate seminar, Tatiana Chistiakova: Ammonium Based Aeration Control in Wastewater Treatment Plants - Modelling and Controller Design
- Björn Holmberg ABB Crane Systems: Industrial automation in the robotic age
- Johan Alenlöv, KTH: Particle-Based Online Smoothing and Parameter Inference in General Hidden Markov Models
- Torbjörn Wigren, Ericsson AB: Location technology in cellular systems
- Rika Antonova, KTH: Towards Data-efficient Robot Learning with Elastic Priors and Kernels
- Jacob Roll, Autoliv: Deep Learning Experiences in Vision for Automotive Applications
- Riccardo Sven Risuleo, KTH: Modeling and Identification with Limited Information-The Uncertain-Input System
Fall 2017
- Licentiate seminar, Oscar Samuelsson: Fault detection in Water Resource Recovery Facilities
- Philipp Hennig, Max Planck Institute for Intelligent Systems Tübingen: Probabilistic Numerics — Uncertainty in Computation
- Richard Middleton, University of Newcastle: Neuronal Calcium Stress: An in-silico model motivated by Parkinson's Disease
Spring 2017
- Bhushan Gopaluni, University of British Columbia: State of Charge Estimation and Optimal Charging for Lithium Ion Batteries
- Matti Vihola, University of Jyväskylä: Unbiased Estimators and Multilevel Monte Carlo
- Johan Schoukens, Vrije Universiteit Brussel: Nonparametric Data Driven Modeling of Linear Systems - Estimating the Frequency Response and Impulse Response Function
- Manon Kok, Linköping University: Probabilistic modeling for sensor fusion with inertial measurements
Fall 2016
- Andreas Svensson: Learning probabilistic models of dynamical phenomena using particle filters (licentiate seminar)
- Per Mattsson: Modeling and identification of nonlinear and impulsive systems (dissertation)
- Dr. Johan Karlsson, Department of Mathematics, KTH: A regularization framework for inverse problems using optimal mass transport
- Dr. Steffi Knorn, Signals and Systems, Uppsala University: Extending the idea of string stability: Deviation bounds in networks
- Professor Richard Middleton, School of Electrical Engineering and Computer Science, The University of Newcastle, Australia: Distributed Load Management in Electrical Power Systems: A minimal communications approach
- Jack Umenberger, Australian Centre for Field Robotics, University of Sydney: Lagrangian relaxation for system identification
- Dr. Hongli Zeng, Department of Mathematics, Uppsala University: Interpreting CT Scans of Guppy brains
Spring 2016
- Dr. Maria Gkizeli, Technical University of Crete, Chania, Greece: Low-complexity optimization for large-scale MIMO and bidirectional relaying
- Dr. Robin Augustine (homepage), Solid State Electronics, Department of Engineering Sciences, Uppsala University: Microwaves for studying Osteogenesis in Bone Related Defects
- Dr. Lawrence Murray, Department of Statistics, University of Oxford: Anytime Monte Carlo
- Andreas Svensson: Learning nonlinear systems using Gaussian processes, basis functions, and particles
- Liang Dai: Identification using Convexification and Recursion (dissertation)
- Johannes Nygren: Input-Output Stability Analysis of Networked Control Systems (dissertation)
- Dr. Cristian Rojas, Associate Professor, Department of Automatic Control, KTH: Analysis of the l1 heuristic for the estimation of piecewise constant/linear signals
- Rubén Cubo: Mathematical Modeling for Optimization of Deep Brain Stimulation (licentiate seminar)
Fall 2015
- Daniel Jansson: Identification Techniques for Mathematical Modeling of the Human Smooth Pursuit System (dissertation)
- Prof. Johan Schoukens, Department ELEC, Vrije Universiteit Brussel, Belgium: System Identification in the real world
- Dr. Fredrik Lindsten: Filtering in high-dimensional models using nested particle filters
- Dr. Jonas Öhr, Tech. manager, ABB Crane Systems: The world largest robots are now remotely controlled: Container crane automation
- Dr. Sina Khoshfetrat Pakazad, Division of Automatic Control, Linköping University: Distributed Optimization: Divide and Conquer
- Prof. Urbashi Mitra, Ming Hsieh Department of Electrical Engineering, University of Southern California: Biological Communication Systems: Engineered and Natural
Spring 2015
- Dr. Tianshi Chen, Division of Automatic Control, Linköping University: On kernel structures for regularized system identification
- Olov Rosén: Parallel Stochastic Estimation on Multicore Platforms (dissertation)
- Prof. Petar Djuric, Stony Brook University, NY, USA: Particle filtering in high dimensional spaces
- Marcus Björk: Contributions to Signal Processing for MRI (dissertation)
- Prof. Alf Isaksson, ABB AB, Corporate Research, Västerås, Sweden: Cyber-Physical Systems - the next industrial revolution?
- Prof. Ba-Ngu Vo, Department of Electrical and Computer Engineering, Curtin University, Australia: Stochastic Geometry in Dynamic Multiple Object Estimation
- Dr. Jimmy Olsson, Department of mathematics, KTH: Efficient particle-based online smoothing in general state-space hidden Markov models: the PaRIS algorithm
- Dr. Yasunori Aoki, Department of Mathematics, Uppsala University: Cluster Gauss-Newton method for Sampling Multiple Solutions of Unidentifiable Biological Systems
- Prof. Roy Smith, Automatic Control Laboratory, ETH Zurich, Switzerland: Nuclear norm methods for frequency domain system identification
- Patricio Esteban Valenzuela Pacheco, Automatic Control, School of Electrical Engineering, Royal Institute of Technology (KTH): Optimal input design for nonlinear dynamical systems: a graph-theory approach
Autumn 2014
- Dr. Saikat Chatterjee, Communication Theory, School of Electrical Engineering, Royal Institute of Technology: Sparsity exploiting estimation of bacterial community composition
- Adj. Professor Tobias Rydén, Brummer & Partners, Stockholm and Division of Systems and Control, Department of Information Technology, Uppsala University: Some statistical and computational aspects on managed futures funds
- Margarida Martins da Silva: Nonlinear Modeling and Feedback Control of Drug Delivery in Anesthesia (dissertation)
- Dr. Adrian Bishop, Australia's Information and Communications Technology Research Centre of Excellence (NICTA), Research School of Engineering, Australian National University: Distributed Consensus and Information Fusion in the Wasserstein Metric Space of Probabilities
- Hans Norlander: Modelling and Control Methods with Applications to Mechanical Waves (dissertation)
- Mojtaba Soltanalian: Signal Design for Active Sensing and Communications, Dissertation
- Dr. Joakim Jaldén, Department of Signal Processing, School of Electrical Engineering, KTH: The sphere decoder diversity-multiplexing-complexity tradeoff
- Soma Tayamon: Nonlinear System Identification and Control Applied to Selective Catalytic Reduction Systems (dissertation)
- Dr. Ami Wiesel, The Hebrew University of Jerusalem, Israel: Structured robust covariance estimation
- Per Mattsson: Pulse-modulated Feedback in Mathematical Modeling and Estimation of Endocrine Systems(licentiate seminar)
- Dr. Denis Efimov, Inria Lille - Nord Europe, France: Estimation and stabilization of uncertain systems based on interval observers
- Dr. Urban Forssell, Vice President Mechatronic Systems at Öhlins Racing AB: Modeling and Control of Semi-Active Motorcycle Suspensions
Spring 2014
- Dr. Mohammad Mahdi Naghsh, Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran: Waveform Design for Performance Improvement in Active Sensing Systems
- Dr. Dave Zachariah: Sequential localization in asynchronous wireless networks
- Prof. Di Yuan, Department of Science and Technology, Linköping University: Revisiting Minimum-Length Scheduling in Wireless Systems
- Prof. Peter A Vanrolleghem, Department of civil engineering and water engineering, Université Laval, Québec, Canada: The need for meta-tools to help engineers select adequate modelling methods
- Linda Åmand: Ammonium Feedback Control in Wastewater Treatment Plants, Dissertation
- Mojtaba Soltanalian, PhD student, Division of Systems and Control: Signal Design for Smart Systems --- Including Applications to Active Sensing and Communications
- Liang Dai: On some sparsity related problems and the randomized Kaczmarz algorithm, Licentiate seminar
- Dr. Kristiaan Pelkmans, Researcher, Division of Systems and Control: KAW project: 'Linking Social Behavior to the Brain': context and challenges
- Johannes Nygren: Output feedback control - some methods and applications, Licentiate seminar
- Dr. Joakim Jaldén, Associate Professor, Signal Processing, School of Electrical Engineering, KTH: Automated Cell Tracking in Time-Lapse Microscopy
- Egi Hidayat: On Identification of Biological Systems, Dissertation
- Dr. Simo Särkkä Academy Research Fellow at Department of Biomedical Engineering and Computational Science, Aalto University: State-Space Representation of Gaussian Processes for Regression and Efficient Inference in Latent Force Models
- Dr. Jesùs Zambrano, Postdoctoral researcher at the Division of Systems and Control, Uppsala University: Autothermal Thermophilic Aerobic Digester, basic controllers and benchmarking validation
- Daniel Jansson, PhD student at the Division of Systems and Control, Uppsala University: Mathematical modeling of the Human Smooth Pursuit System, Licentiate Seminar
Autumn 2013
- Dr. Ian Manchester, Australian Centre for Field Robotics, School of Aerospace, Mechanical, and Mechatronic Engineering, University of Sydney: Nonlinear System Identification via Convex Relaxation
- Prof. Richard Middleton, Director, Centre for Complex Dynamic Systems and Control, The University of Newcastle, Australia: Switching Control for Mitigating Mutation
- Dr. Aivar Sootla, Faculty of Engineering, Department of Bioengineering, Imperial College, London UK: Data-based optimal control of gene regulatory networks
- Tekn. Lic. Marie Ström, Industrial PhD student in the Signal processing research group, Chalmers University of Technology, Gothenburg: Waveform Diversity and its Application in Future Wideband Radar Systems
- Tekn. Lic. Ashkan Panahi, PhD student in the Signal processing research group, Chalmers University of Technology, Gothenburg: Analysis of the Sparse Estimation by Basis Pursuit Applied to the DOA Estimation Problem
- Andreas Svensson, PhD student at the Division of Systems and Control, Uppsala University: Model Predictive Control with Invariant Sets in Artificial Pancreas for Type 1 Diabetes Mellitus
Spring 2013
- Assoc. Prof. Sharmishtha Mitra, Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, India: Analysis of Life Testing Models under different censoring and stress acceleration schemes
- Prof. Amit Mitra, Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, India: On Estimating the Parameters of a Non-Linear Chirp Signal Model
- Dr. Angelia Nedic, University of Illinois at Urbana-Champaign, USA: Distributed Optimization over Directed Networks
- Dr. Dimitrios Katselis, Royal Institute of Technology (KTH): Rethinking the Problem of Channel Estimation in Communication Systems: Some End Performance Metric Aspects
- Dave Zachariah, Royal Institute of Technology (KTH): Estimation for sensor fusion, localization and sparse signal processing
Autumn 2012
- Dr. Gunnar Cedersund, The Linköping Centre for Systems Biology (LCSB): Contrasting a detailed systems biology modelling project of insulin signalling with modelling within physics and system identification
- Dr. Johan Karlsson, Department of Electrical and Computer Engineering University of Florida, USA: Fast Missing-Data IAA with Application to Notched Spectrum SAR
- Prof. Simanski, Hochschule Wismar University of Applied Sciences: Technology, Business and Design and Control Application Centre University of Rostock, Germany: Medical control at the Control Application Centre at the Universities of Rostock and Wismar - Germany
- Dr. Dimos Dimarogonas, Automatic Control, School of Electrical Engineering KTH Royal Institute of Technology: Distributed Event-Triggered Control for Multi-Agent Systems: Consensus and Model Predictive Control Formulation
- Dr. Angelia Nedich, University of Illinois at Urbana-Champaign, USA: Distributed Optimization over Networks
Spring 2012
- Prof. Gennady A. Leonov, Saint Petersburg State University: Hidden Oscillation In Dynamical Systems
- Dr Mattias Åström, Adjunct Lecturer at the Department of Biomedical Engineering, Linköping University: Visualization of deep brain stimulation
- Kristian Soltesz, Automatic Control, Lund University: Development and Evaluation of a Closed-Loop Drug Delivery System for Propofol Anesthesia
- Satoshi Takahashi: DBS and the Rudiments of Neuroscience leading to the Hodgkin Huxley Model
- Dr. Karin Nordström, Department of Neuroscience, Uppsala University: Higher order motion sensitivity in fly visual circuits
Autumn 2011
- Prof. Lieven Vandenberghe: INTERIOR-POINT METHODS FOR LARGE-SCALE CONIC OPTIMIZATION
- Dr. Thomas Schön: Computational methods for estimation of nonlinear dynamical systems
- Prof. Zhi-Pei Liang: Fast Imaging with Sparse Sampling
- Prof. Peter Stoica: Maximum-likelihood non-parametric estimation of smooth spectra from irregularly sampled data
Spring 2011
- Yang Wang, Stanford University, USA: Performance bounds and suboptimal policies for stochastic control
- Dr Johanna Wallén, Dept of Electrical Engineering, Linköping University: Estimation-based iterative learning control
- Dr. Florin G Filip, The Romanian Academy, Chair of the "Information Science and Technology" Section, Bucharest, Romania: Information Technology and the Cultural Heritage