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.     


First NameLast NameTitle
Alessandro Papadopoulos Associate Professor,Docent
Ankica Babic Visiting Professor
Ann-Louise Lindborg Industrial Doctoral Student
Atieh Hanna Industrial Doctoral Student
Baran Çürüklü Senior Lecturer
Branko Miloradovic Doctoral student
Carl Ahlberg Doctoral student
Elaine Åstrand Researcher
Francisco Herrera Visiting Professor
Fredrik Bruhn Adjunct Professor
Fredrik Ekstrand Head of Division
Giacomo Spampinato Senior Lecturer
Håkan Forsberg Senior Lecturer
Hamid GholamHosseini Visiting Professor
Hamidur Rahman Doctoral student
Inna Valieva Industrial Doctoral Student
Ivan Tomasic Assistant Professor
Jiaying Du Industrial Doctoral Student
Joaquin Ballesteros Post Doc
Johan Holmberg Doctoral student
Jonas Ljungblad Doctoral student
Jonatan Tidare Doctoral student
José-Fernán Martínez Visiting Professor
Kjell-Åke Brorsson Consulting Senior Lecturer
LanAnh Trinh Doctoral student
Lennie Carlén Eriksson Lecturer,Research Engineer/Technician
Maria Ehn Researcher
Maria Lindén Professor
Martin Åhlenius Industrial Doctoral Student
Martin Ekström Senior Lecturer
Masoud Daneshtalab Associate Professor,Docent
Mia Folke Senior Lecturer
Miguel Leon Ortiz Doctoral student
Mikael Ekström Associate Professor
Mir Riyanul Islam Doctoral student
Mirgita Frasheri Doctoral student
Mirko Senkovski Karlsson Lecturer
Mobyen Uddin Ahmed Associate Professor
Mohammad Loni Doctoral student
Mohammad Riazati Doctoral student
Mohammed Ghaith Altarabichi Doctoral student
Nikola Petrovic Senior Lecturer
Ning Xiong Professor
Per Hellström Doctoral student
Per Olov Risman Adjunct Professor
Peter Funk Professor
Sara Abbaspour Doctoral student
Shahina Begum Associate Professor
Shaibal Barua Doctoral student
Sharmin Sultana Sheuly Research Engineer/Technician
Sima Seenan Post Doc
Taufik Akbar Sitompul Industrial Doctoral Student
Torbjörn Ödman Industrial Doctoral Student
Xu Wang Industrial Doctoral Student
Project TitleStatus
ADAPTER: Adaptive Learning and Information Fusion for Online Classification Based on Evolving Big Data Streams active
Aggregate Farming in the Cloud active
Artificiell Intelligens för att förvandla kvalitetsregister till individanpassat beslutstöd i vården, 2017-01555 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
Collaborative Adaptive Autonomous Agents active
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices active
DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking active
Digitalization of HVDC grids by means of smart data discovery 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
HERO: Heterogeneous systems - software-hardware integration active
IEMI: Intelligent extraction of mental imagery during stroke rehabilitation active
ImmerSafe - Immersive Visual Technologies for Safety-critical Applications active
Into DeeP active
INVIP: Indoor Navigation for Visual Impairment Persons using Computer Vision and Machine learning active
ITS ESS-H Industrial Graduate School in Reliable Embedded Sensor Systems active
Machine Learning for the prevention of occupational accidents in the construction industry active
Machine learning in power devices and power systems active
PROMPT - Professional Master’s in Software Engineering (step II, phase B&C) active
SALUTOGEN - Seniors’ Activity and quality of Life sUpported by Technology thrOugh deliGht, Engagement and iNterest active
SimuSafe : Simulator of Behavioural Aspects for Safer Transport active
Självkörande cyklar för mer verklighetstrogen utveckling och verifiering av fordons säkerhetssystem för undvikande av cykelolyckor active
Smart and networking underWAter Robots in cooperation MesheS active
System för dynamisk matchning av flygunderhållsförmågor och taktiska behov med maskininlärning och stora data active
Unicorn -Sustainable, peaceful and efficient robotic refuse handling active
V-trustEE 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
AVANS - civilingenjörsprogrammet i tillförlitliga flyg- och rymdsystem finished
Computational Intelligence in Process Modelling and Prediction finished
Continuous monitoring of COPD patients 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
Food4Health: A Personalized System for Adaptive Mealtime Situations for Elderly finished
GIMME3 - Semi-fault tolerant next generation high performance computer architecture based on screened industrial components finished
HR R-peak detection quality index analysis 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
ITS-EASY, SVAHLA - Stereo Vision Assisted Hauler and Loader Alignment finished
Kompetensnav Inbyggda Sensorsystem för hälsa / Competence hub Embedded Sensor Systems for Health 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
Real-time Heterogeneous Systems 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
SafeDriver: A Real Time Driver's State Monitoring and Prediction System finished
Safety Critical Industrial Machine Vision Inspection and Control System (SAFEi) finished
Saga finished
Technology support for health promotive behavioural change finished
TESLA - Time-critical & Safe wireLess Automation communication finished
Third Eye: An Intelligent Assisting Aid for Older Individuals with a Recently Acquired Visual Impairment finished
Two Camera System finished
VARUM - Vision Aided Robots for Underwater Minehunting finished
VDM - Vehicle Driver Monitoring finished
Wireless sensors for monitoring physiological parameters finished
Dasher on-hold
GENIUS on-hold
Roony on-hold

[Show all publications]

An Efficient Approach for Detecting Moving Objects and Deriving Their Positions and Velocities (Apr 2019)
Andreas Gustavsson
Computer Vision Conference (CVC) 2019 (CVC2019)

Petri Net Based Navigation Planning with Dipole Field and Dynamic Window Aprroach for Collision Avoidance (Apr 2019)
LanAnh Trinh, Mikael Ekström, Baran Çürüklü
International Conference on Control, Decision and Information Technologies (CoDIT)

Drivers' Sleepiness Classification using Machine Learning with Physiological and Contextual data (Mar 2019)
Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum
First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019)

Data Analysis on Powered Two Wheelers Riders’ Behaviour using Machine Learning (Mar 2019)
Mobyen Uddin Ahmed, Abderrahmane Boubezoul , Nils Göran Gustav Forsström , Nabaz Sherif , Daniel Stenekap , Stephane Espie , Anton Sundström , Rasmus Södergren
First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019)

Supervised Learning for Road Junctions Identification using IMU (Mar 2019)
Mohammed Ghaith Altarabichi, Mobyen Uddin Ahmed, Shahina Begum
First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2019)

Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems (Feb 2019)
Branko Miloradovic, Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos
8th International Conference on Operations Research and Enterprise Systems (ICORES 2019)

Fredrik Ekstrand, Head of Division

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