Division of Intelligent Future Technologies

Focus:

Our undergratuate programs should deliver top engineering education and our students should be attractive and a first choice for companies looking for employees. Our two programs, Högskoleingenjör in Aeronautical engineering and Civilingenjör in Robotics, are designed to give the students a good balance between practical skills and theory in order to create complete engineers.

The research at the department consists of Robotics, Biomedical Engineering, Helath technology, Artificial Intelligence and the new and recently started research within Avionics. Our research is mainly applied and often from a system perspective. We build systems that can be used as proof of principles or as demonstrators to show the practical use of our research results. The research problems are often derived from real problems that exist within the industry or the public sector.     


Project TitleStatus
ADAPTER: Adaptive Learning and Information Fusion for Online Classification Based on Evolving Big Data Streams active
Artificiell Intelligens för att förvandla kvalitetsregister till individanpassat beslutstöd i vården, 2017-01555 active
AVANS - civilingenjörsprogrammet i tillförlitliga flyg- och rymdsystem active
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) active
CogTrack: Real-Time Cognitive Tracking as an Approach to Identify Substance Abuse active
Continuous monitoring of COPD patients active
DPAC - Dependable Platforms for Autonomous systems and Control active
ecare@home active
eCraft2Learn - Digital Fabrication and Maker Movement in Education: Making Computer-supported Artefacts from Scratch active
ESS-H - Embedded Sensor Systems for Health Research Profile active
Food4Health: A Personalized System for Adaptive Mealtime Situations for Elderly active
IEMI: Intelligent extraction of mental imagery during stroke rehabilitation active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
ITS-EASY, SVAHLA - Stereo Vision Assisted Hauler and Loader Alignment active
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health active
PROMPT - Professional Master’s in Software Engineering (step II, phase B&C) active
Real-time Heterogeneous Systems active
SafeDriver: A Real Time Driver's State Monitoring and Prediction System active
SimuSafe : Simulator of Behavioural Aspects for Safer Transport active
Smart and networking underWAter Robots in cooperation MesheS active
Technology support for health promotive behavioural change active
Third Eye: An Intelligent Assisting Aid for Older Individuals with a Recently Acquired Visual Impairment active
VDM - Vehicle Driver Monitoring active
AIM, Artificial Intelligence in Medical Applications finished
Algorithms & Protocols Enhancing Mobility Support in Wireless Sensor Networks Based on Bluetooth and Zigbee finished
Alternative input and control devices for disabled finished
Computational Intelligence in Process Modelling and Prediction finished
Development of a telemetric system for bioelectrical monitoring finished
Development of Electroencephalography (EEG) Signal Analysis Techniques for Brain Computer Interface (BCI) Systems finished
EKEN-Efficient knowledge and experience reuse within the business world finished
EMOPAC - Evolutionary Multi-Objective Optimization and Its Applications in Analog Circuit Design finished
ExAct, Intelligent experience sharing for industrial applications finished
GIMME3 - Semi-fault tolerant next generation high performance computer architecture based on screened industrial components finished
IMod - Intelligent Concentration Monitoring and Warning System for Professional Drivers finished
InMaint - Intelligent Monitoring and Maintenance in Production Industry finished
Intelligent Human Robot Interaction finished
IPOS, Integrated Personal Health Optimizing System finished
LACTA - a new method to identify the lactate threshold finished
MALTA finished
MAMACELL finished
Measurement system for prevention of pressure sores finished
Micro sensors for better health finished
Microwaves in biomedicine finished
Modular Lightweight Robotics finished
Music in Motion - A Project that combines Arts with Science finished
NovaMedTech finished
NovaMedTech II finished
PEWIT finished
Ralf II finished
Respiratory monitoring and other clinical applications of measurements of carbon dioxide in expiratory air finished
RoboCat finished
Robocygne finished
Robot Colleague - A Project in Collaborative Robotics finished
RUNNER finished
Safety Critical Industrial Machine Vision Inspection and Control System (SAFEi) finished
Saga finished
TESLA - Time-critical & Safe wireLess Automation communication finished
Two Camera System finished
VARUM - Vision Aided Robots for Underwater Minehunting finished
Wireless sensors for monitoring physiological parameters finished
Dasher on-hold
GENIUS on-hold
Roony on-hold

[Show all publications]

Automated EEG Artifact Handling with Application in Driver Monitoring (Dec 2017)
Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström , Shahina Begum, Peter Funk
IEEE Journal of Biomedical and Health Informatics (J-BHI)

Cloud-based Data Analytics on Human Factor Measurement to Improve Safer Transport (Nov 2017)
Mobyen Uddin Ahmed, Shahina Begum, Carlos Alberto Catalina , Lior Limonad , Bertil Hök , Gianluca Di Flumeri
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Run-Time Assurance for the E-care@home System (Nov 2017)
Mobyen Uddin Ahmed, Hossein Fotouhi, Uwe Köckemann , Maria Lindén, Ivan Tomasic, Nicolas Tsiftes , Thiemo Voigt
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Big Data Analytics in Health Monitoring at Home (Oct 2017)
Mobyen Uddin Ahmed, Shahina Begum
Medicinteknikdagarna 2017 (MTD 2017)

Vision-Based Remote Heart Rate Variability Monitoring using Camera (Oct 2017)
Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Distributed Multivariate Physiological Signal Analytics for Drivers’ Mental State Monitoring (Oct 2017)
Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum
4th EAI International Conference on IoT Technologies for HealthCare (HealthyIOT'17)

Fredrik Ekstrand, Head of Division

Email: fredrik.ekstrand@mdh.se
Room: U1-077
Phone: +46-21-101573