Division of Intelligent Future Technologies


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
Adnan Ghaderi Doctoral student
Alessandro Papadopoulos Associate Professor,Docent
Ankica Babic Visiting Professor
Ann-Louise Lindborg Industrial Doctoral Student
Annica Kristoffersson Researcher
Atieh Hanna Industrial Doctoral Student
Baran Çürüklü Senior Lecturer
Branko Miloradovic Doctoral student
Carl Ahlberg Doctoral student
Daniel Morberg Research Engineer/Technician
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
Henrik Falk Research Engineer/Technician
Inna Valieva Industrial Doctoral Student
Ivan Tomasic Senior Lecturer
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
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 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
Mostafa E. Salehi Visiting Professor
Nikola Petrovic Senior Lecturer
Ning Xiong Professor
Per Hellström Doctoral student
Per Olov Risman Adjunct Professor
Peter Funk Professor
Rickard Sohlberg Affiliated researcher
Shahina Begum Associate Professor
Shaibal Barua Researcher
Sharmin Sultana Sheuly Research Engineer/Technician
Sima Sinaei Post Doc
Taufik Akbar Sitompul 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
AUTOMAD:AUTOnomous Decision Making in Industry 4.0 using MAchine Learning and Data Analytics 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
Embedded Sensor Systems for Health Plus active
Energy-Efficient Hardware Accelerator for Embedded Deep Learning 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
Safe and Secure Adaptive Collaborative Systems active
SafeDeep: Dependable Deep Learning for Safety-Critical Airborne Embedded Systems active
SALUTOGEN - Seniors’ Activity and quality of Life sUpported by Technology thrOugh deliGht, Engagement and iNterest active
SIMMILAR: Systems-of-Systems for Intelligent Manufacturing Maintenance using Industry 4.0, Lean, AI Reasoning 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
CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living) 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
ESS-H - Embedded Sensor Systems for Health Research Profile 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]

Reaction Time Variability Association with Safe Driving Indexes (Jun 2020)
Mohammed Ghaith Altarabichi, Mobyen Uddin Ahmed, Shahina Begum, Maria Rita Ciceri , Stefania Balzarotti , Federica Biassoni , Debora Lombardi , Paolo Perego
Transport Research Arena (TRA2020)

A Machine Learning Approach to Classify Pedestrians’ Event based on IMU and GPS (May 2020)
Mobyen Uddin Ahmed, Staffan Brickman , Alexander Dengg , Niklas Fasth , Marko Mihajlovic , Jacob Norman
International Journal of Artificial Intelligence (IJAI)

A Vision based Indoor Navigation System for Individual with Visual Impairment (May 2020)
Mobyen Uddin Ahmed, Mohammed Ghaith Altarabichi, Shahina Begum, Fredrik Ginsberg , Robert Glaes , Magnus Östgren , Hamidur Rahman, Magnus Sörensen
International Journal of Artificial Intelligence (IJAI)

Self-Adaptation of the Smart Cane platform (Dec 2019)
Inmaculada Ayala, Joaquin Ballesteros, Juan Rafael Caro-Romero , Mercedes Amor , Lidia Fuentes
13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence (UCAmI)

Using Augmented Reality to Improve Productivity and Safety for Heavy Machinery Operators: State of the Art (Nov 2019)
Taufik Akbar Sitompul, Markus Wallmyr
17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI 2019)

Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers' Mental Workload Classification (Nov 2019)
Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri
The 3rd International Symposium on Human Mental Workload: Models and Applications (H-WORKLOAD 2019)

Fredrik Ekstrand, Head of Division

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