Improved breath alcohol analysis in patients with depressed consciousness. - Annika Kaisdotter Andersson; Bertil Hök; Daniel Rentsch; Gernot Ruecker; Mikael Ekström (Medical Biol. Eng. Comput., 2010)

Resource limited hardware-based stereo matching for high-speed vision system. - Fredrik Ekstrand; Carl Ahlberg; Mikael Ekström; Lars Asplund; Giacomo Spampinato (ICARA, 2011)

An embedded stereo vision module for 6D pose estimation and mapping. - Giacomo Spampinato; Jörgen Lidholm; Carl Ahlberg; Fredrik Ekstrand; Mikael Ekström; Lars Asplund (IROS, 2011)

GIMME - A General Image Multiview Manipulation Engine. - Carl Ahlberg; Jörgen Lidholm; Fredrik Ekstrand; Giacomo Spampinato; Mikael Ekström; Lars Asplund (ReConFig, 2011)

A wireless low latency control system for harsh environments. - Marcus Bergblomma; Martin C. Ekström; Mats Björkman; Mikael Ekström; Christer Gerdtman; Maria Lindén (PDeS, 2012)

Utilization and Performance Considerations in Resource Optimized Stereo Matching for Real-time Reconfigurable Hardware. - Fredrik Ekstrand; Carl Ahlberg; Mikael Ekström; Lars Asplund; Giacomo Spampinato (VISAPP (2), 2012)

A Bluetooth Radio Energy Consumption Model for Low-Duty-Cycle Applications. - Martin C. Ekström; Marcus Bergblomma; Maria Lindén; Mats Björkman; Mikael Ekström (IEEE Trans. Instrum. Meas., 2012)

High-speed segmentation-driven high-resolution matching. - Fredrik Ekstrand; Carl Ahlberg; Mikael Ekström; Giacomo Spampinato (ICMV, 2014)

Critical performance of a new breath alcohol analyzer for screening applications. - Jonas Ljungblad; Bertil Hök; Mikael Ekström (ISSNIP, 2014)

Towards an Embedded Real-Time High Resolution Vision System. - Fredrik Ekstrand; Carl Ahlberg; Mikael Ekström; Giacomo Spampinato (ISVC (2), 2014)

GIMME2 - an embedded system for stereo vision and processing of megapixel images with FPGA-acceleration. - Carl Ahlberg; Fredrik Ekstrand; Mikael Ekström; Giacomo Spampinato; Lars Asplund (ReConFig, 2015)

A genetic planner for mission planning of cooperative agents in an underwater environment. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström (SSCI, 2016)

Development and Evaluation of Algorithms for Breath Alcohol Screening. - Jonas Ljungblad; Bertil Hök; Mikael Ekström (Sensors, 2016)

Failure Analysis for Adaptive Autonomous Agents using Petri Nets. - Mirgita Frasheri; Lan Anh Trinh; Baran Çürüklü; Mikael Ekström (FedCSIS, 2017)

Towards Collaborative Adaptive Autonomous Agents. - Mirgita Frasheri; Baran Çürüklü; Mikael Ekström (ICAART (1), 2017)

Fault Tolerance Analysis for Dependable Autonomous Agents using Colored Time Petri Nets. - Lan Anh Trinh; Baran Çürüklü; Mikael Ekström (ICAART (1), 2017)

A Genetic Mission Planner for Solving Temporal Multi-agent Problems with Concurrent Tasks. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström (ICSI (2), 2017)

Dependability for Autonomous Control with a Probability Approach. - Lan Anh Trinh; Baran Çürüklü; Mikael Ekström (ERCIM News, 2017)

Comparison Between Static and Dynamic Willingness to Interact in Adaptive Autonomous Agents. - Mirgita Frasheri; Baran Çürüklü; Mikael Ekström (ICAART (1), 2018)

Toward Shared Working Space of Human and Robotic Agents Through Dipole Flow Field for Dependable Path Planning. - Lan Anh Trinh; Mikael Ekström; Baran Çürüklü (Frontiers Neurorobotics, 2018)

Analysis of Perceived Helpfulness in Adaptive Autonomous Agent Populations. - Mirgita Frasheri; Baran Çürüklü; Mikael Ekström (Trans. Comput. Collect. Intell., 2018)

Petri Net Based Navigation Planning with Dipole Field and Dynamic Window Approach for Collision Avoidance. - Lan Anh Trinh; Mikael Ekström; Baran Çürüklü (CoDIT, 2019)

Industrial Challenges when Planning and Preparing Collaborative and Intelligent Automation Systems for Final Assembly Stations. - Atieh Hanna; Kristofer Bengtsson; Martin Dahl; Endre Erós; Per-Lage Götvall; Mikael Ekström (ETFA, 2019)

Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström; Alessandro Vittorio Papadopoulos (ICORES, 2019)

A Genetic Algorithm Approach to Multi-Agent Mission Planning Problems. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström; Alessandro V. Papadopoulos (ICORES (Selected Papers), 2019)

Multiple Machine Learning Algorithms Comparison for Modulation Type Classification for Efficient Cognitive Radio. - Inna Valieva; Mats Björkman; Johan Åkerberg; Mikael Ekström; Iurii Voitenko (MILCOM, 2019)

TAMER: Task Allocation in Multi-robot Systems Through an Entity-Relationship Model. - Branko Miloradovic; Mirgita Frasheri; Baran Çürüklü; Mikael Ekström; Alessandro Vittorio Papadopoulos (PRIMA, 2019)

Unbounded Sparse Census Transform Using Genetic Algorithm. - Carl Ahlberg; Miguel León Ortiz; Fredrik Ekstrand; Mikael Ekström (WACV, 2019)

Adaptive Autonomy in Wireless Sensor Networks. - Mirgita Frasheri; José Manuel Cano-García; Eva González-Parada; Baran Çürüklü; Mikael Ekström; Alessandro Vittorio Papadopoulos; Cristina Urdiales (AAMAS, 2020)

Towards safe human robot collaboration - Risk assessment of intelligent automation. - Atieh Hanna; Kristofer Bengtsson; Per-Lage Götvall; Mikael Ekström (ETFA, 2020)

Exploiting Parallelism in Multi-Task Robot Allocation Problems. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström; Alessandro V. Papadopoulos (ICARSC, 2021)

Trajectory tracking and stabilisation of a riderless bicycle. - Niklas Persson; Martin C. Ekström; Mikael Ekström; Alessandro V. Papadopoulos (ITSC, 2021)

The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training. - Carl Ahlberg; Miguel Leon 001; Fredrik Ekstrand; Mikael Ekström (J. Real Time Image Process., 2021)

FP-SLIC: A Fully-Pipelined FPGA Implementation of Superpixel Image Segmentation. - Adnan Ghaderi; Carl Ahlberg; Magnus Östgren; Fredrik Ekstrand; Mikael Ekström (DSD, 2022)

Blind Vacant Frequency Channels Detection for Cognitive Radio. - Inna Valieva; Bharath Shashidhar; Mats Björkman; Johan Åkerberg; Mikael Ekström; Iurii Voitenko (ICEIC, 2022)

Quantitative analysis of communication handling for centralized multi-agent robot systems using ROS2. - Lukas Johannes Dust; Emil Persson; Mikael Ekström; Saad Mubeen; Emmanuel Dean (INDIN, 2022)

Machine Learning-Based Frequency Bands Classification for Efficient Frequency Hopping Spread Spectrum Applications. - Inna Valieva; Bharath Shashidhar; Mats Björkman; Johan Åkerberg; Mikael Ekström; Iurii Voitenko (MILCOM, 2022)

Dependable Navigation for Multiple Autonomous Robots with Petri Nets Based Congestion Control and Dynamic Obstacle Avoidance. - Lan Anh Trinh; Mikael Ekström; Baran Çürüklü (J. Intell. Robotic Syst., 2022)

GMP: A Genetic Mission Planner for Heterogeneous Multirobot System Applications. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström; Alessandro Vittorio Papadopoulos (IEEE Trans. Cybern., 2022)

Experimental Evaluation of Callback Behavior in ROS 2 Executors. - Lukas Johannes Dust; Emil Persson; Mikael Ekström; Saad Mubeen; Cristina Seceleanu; Rong Gu (ETFA, 2023)

Pattern-Based Verification of ROS 2 Nodes Using UPPAAL. - Lukas Johannes Dust; Rong Gu; Cristina Seceleanu; Mikael Ekström; Saad Mubeen (FMICS, 2023)

Interplay of Human and AI Solvers on a Planning Problem. - Afshin Ameri Ekhtiarabadi; Branko Miloradovic; Baran Çürüklü; Alessandro V. Papadopoulos; Mikael Ekström; Johann Dréo (SMC, 2023)

Optimizing Parallel Task Execution for Multi-Agent Mission Planning. - Branko Miloradovic; Baran Çürüklü; Mikael Ekström; Alessandro Vittorio Papadopoulos (IEEE Access, 2023)

UPPAAL-Based Modeling and Verification of ROS 2 Multi-threaded Execution and Operating System Reservations. - Lukas Johannes Dust; Rong Gu; Cristina Seceleanu; Mikael Ekström; Saad Mubeen (FMICS, 2024)

A User Interface for Supervision of Missions in the Multi-UAV Context Using Text-to-Speech. - Afshin Ameri Ekhtiarabadi; Viktor Gemo Lindgren; Baran Çürüklü; Roberto Fresco; Mikael Ekström (HAI, 2024)

A Model-Based Methodology for Automated Verification of ROS 2 Systems. - Lukas Johannes Dust; Mikael Ekström; Rong Gu; Saad Mubeen; Cristina Seceleanu (RoSE, 2024)

A model-based approach to automation of formal verification of ROS 2-based systems. - Lukas Johannes Dust; Rong Gu; Saad Mubeen; Mikael Ekström; Cristina Seceleanu (Frontiers Robotics AI, 2025)

Pattern-based verification of ROS 2 applications using UPPAAL. - Lukas Johannes Dust; Rong Gu; Cristina Seceleanu; Mikael Ekström; Saad Mubeen (Int. J. Softw. Tools Technol. Transf., 2025)