Computer Science
About
Subject information
Contact
Research domains
- Engineering
Areas of research
- Artificial intelligence
- Autonomous systems
- Mobile Robot Olfaction
Research environments
The subject of Computer Science encompasses a broad field of knowledge ranging from studies of algorithms, computational processes and data structures to engineering methods for designing complex computer-based systems where software plays a central role. The subject is characterized by the interplay between theory, methodology and applications. At Örebro University, the focus is on of intelligent computer-based systems and advanced applications of these. Theories and methods for studying and developing such systems are treated in Computer Science areas such as autonomous systems, artificial intelligence (AI), and intelligent agents.
Researchers
Researchers
- Anas Alhashimi
- Marjan Alirezaie
- Henrik Andreasson
- Ajay Arunachalam
- Hadi Banaee
- Mehul Bhatt
- Alfred Dahlberg
- Luc De Raedt
- Nicola Dragoni
- Dimiter Driankov
- Jasmin Grosinger
- Püren Güler
- Lars Karlsson
- Ali Abdul Khaliq
- Andrey Kiselev
- Franziska Klügl
- Oleksandr Kotlyar
- Tomasz Kucner
- Polina Kurtser
- Uwe Köckemann
- Fabien Lagriffoul
- Qianfang Liao
- Achim Lilienthal
- Amy Loutfi
- Stephanie Lowry
- Martin Längkvist
- Martin Magnusson
- Anna Mannucci
- Oscar Martinez Mozos
- Farhang Nemati
- Rainer Palm
- Federico Pecora
- Andreas Persson
- Jennifer Renoux
- Alessandro Saffiotti
- Erik Schaffernicht
- Johannes Andreas Stork
- Todor Stoyanov
- Da Sun
- Shiyu Zhang
- Daniel Adolfsson, PhD student
- Neziha Akalin, PhD student
- Mohamad Aldammad, PhD student
- Tiago Almeida, PhD student
- Håkan Almqvist, PhD student
- Asif Arain, PhD student
- Ravi Chadalavada, PhD student
- Gibson Chimamiwa, PhD student
- Han Fan, PhD student
- Mohamadreza Faridghasemnia, PhD student
- Paolo Forte, PhD student
- Alberto Giaretta, PhD student
- Simona Gugliermo, PhD student
- Himanshu Gupta, PhD student
- Eduardo Gutiérrez Maestro, PhD student
- Dinh-Cuong Hoang, PhD student
- Dino Hüllmann, PhD student
- Vasiliki Kondyli, PhD student
- Sai Krishna, PhD student
- Cristina Landin, PhD student
- Lucas Morillo, PhD student
- Lucas Morillo, PhD student
- André Potenza, PhD student
- Andrey Rudenko, PhD student
- João Salvado, PhD student
- Chittaranjan Swaminathan, PhD student
- Stevan Tomic, PhD student
- Thomas Wiedemann, PhD student
- Nicolas Winkler, PhD student
- Quantao Yang, PhD student
- Yuxuan Yang, PhD student
Research teams
Research projects
Research projects
- A context-aware framework for visual localization
- A method to measure a sensor network's impact on perceived safety and security
- Agent-based Route- and Mode Choice Simulation
- AI.MEE - Autonomous Intelligent Systems for Enterprise and Exploration
- AI4EU
- AIR - Action and Intention Recognition in Human Interaction with Autonomous Systems
- ALL-4-eHam - Fully Autonomous WheeL Loaders for efficient HAndling of Heterogeneous Materials
- ALLO - Automomous Long-Term Load-Haul-Dump Operations
- AMICI - Augmented Interaction For Human-Robot Collaborative Tasks In Industrial Environments
- Assessment of Food Quality: An Embedded Approach
- AutoBoomer - Automated Drill Planning for Multiple-Boom Rigs in Underground Mining
- AutoHauler - Automated Planning and Coordination of Autonomous Haulers in Underground Mines
- CARESSES
- CleanSat - SIG AI
- Cognitive Olfaction: A new Paradigm for Artificial Odour Recognition
- Development of an in vivo butyrate sensor
- DIADEM - Distributed Information Acquisition and Decision-Making for Environmental Management
- Dustbot - Networked and Cooperating Robots for Urban Hygiene
- E-care@home
- ExCITE - Enabling SoCial Interaction Through Embodiment
- FIREM-II. Fire and Rescue in Mines II
- Gasbot
- GeRT - Generalizing Robot Manipulation Tasks
- GiraffPlus
- Ground-level power supply for electrical vehicles
- Human-aware task planning for mobile robots
- Human-in-the-loop: Modeling and Simulation
- ILIAD: Intra-Logistics with Integrated Automatic Deployment for safe and scalable fleets in shared spaces
- iQMobility
- Learning Agents for Supporting Modeling
- Long Term Symbol Anchoring for Dynamic and Realistic Environments
- Machine Learning to enhance AI Planning for Intelligent Transport Systems
- MALTA - Multiple Autonomous forklifts for Loading and Transportation Applications
- Mednose
- Monarch
- MORE - Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation
- MoveCare (Multiple-actOrs Virtual Empathic CARgiver for the Elder)
- Newbreed
- OPAC Intelligent Pedestrian Hydraulics
- Predictive Modeling of Hydraulic Hoses for Underground Mining
- RACE - Robustness by Autonomous Competence Enhancement
- RAISE - Robotic System for Air Quality Assessment in Industrial Environments
- Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models
- ReMOTE
- RM4RS - Rapid Mapping for Realistic Simulation
- RobLog - Cognitive Robot for Automation of Logistic Processes
- Robot-Era - Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population
- RUBICON - Robotic UBIquitous COgnitive Network
- SAAPHO - Secure Active Aging: Participation and Health for the Old
- SAUNA - Safe Autonomous Navigation
- SAVIE - Safe Autonomous Vehicles for Industrial Environments
- Semantic Maps and Beyond
- Semantic Robots
- SeSAM - Sensorbased safety for autonomous mobility
- SmokeBot - Mobile Robots with Novel Environmental Sensors for Inspection of Disaster Sites with Low Visibility
- SOCRATES - SOcial Cognitive Robotics in The European Society
- SPENCER - Social Situation-aware Perception and Action for Cognitive Robots
- Surveyor
- Take back the Night
- Tracking and Control of Articulated Machines through Remote Sensing (TracMac)
- Ängen: a Physical Testbed Apartment for Prototyping Distributed Care Technologies