The Department can offer students the possibility of following postgraduate projects in the areas listed below. Unless otherwise stated, these postgraduate projects can be followed in either full-time or part-time mode of studies.
Please note that the Department does not offer funding for any of these projects, however, paid research positions do occassionally arise and may be found here.
Thematic areas of research: Signal and image processing, Machine and computer vision
This research area is focused on the interpretation of 2D pen and paper sketches, using artistic cues such as shadows and shading to create 3D virtual models, as well as the deformation of the virtual 3D models using sketching strokes to adapt and enhance the form design process.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in signal processing; an interest in image processing and computer vision; an aptitude for mathematics and proficiency in programming.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr. Alexandra Bonnici or Prof. Ing. Kenneth Camilleri.
Thematic areas of research: Robot control, Automatic control systems, Nonlinear control systems, Adaptive and Intelligent control
This research area is focused on Autonomous Robotic Vehicles, focusing mainly on real-life applications of wheeled and/or aerial robots and the associated control and navigation challenges.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in control engineering; an interest in mobile robotics, electronics and computer interfacing; an aptitude for mathematics and proficiency in programming.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr. Ing. Marvin Bugeja.
Thematic areas of research: Biomedical signal processing, System identification
This research area is focused on electroencephalographic (EEG) signal processing with applications that include: Brain computer interface systems, Biometry, Sleep analysis.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in signal processing; an interest in biomedical engineering; an aptitude for mathematics and proficiency in programming.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr. Tracey Camilleri, Dr. Owen Falzon or Prof. Ing. Kenneth Camilleri.
Thematic areas of research: Signal and image processing, Biomedical signal processing
This research area is focused on thermographic analysis with applications which include: Thermal imaging for diabetes, Foetal thermography, Combined thermal and visual imaging for the analysis of physiological functions.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates should preferably have a good background in signal and image processing; an interest in biomedical engineering; an aptitude for mathematics and good programming skills.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr. Owen Falzon or Prof. Ing. Kenneth Camilleri.
Thematic areas of research: Signal and image processing, Machine and computer vision
This research area is focused on vision-based human-machine interaction, focusing particularly on unobtrusive human-computer interaction and human-home interaction by means of different interaction modalities based on the eye and head movements, and hand gestures.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in signal processing; an interest in image processing and computer vision; an aptitude for mathematics and proficiency in programming.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr Ing. Stefania Cristina or Prof. Ing. Kenneth Camilleri.
Thematic areas of research: Numerical Optimisation
This research area is focused on numerical optimisation, focusing particularly on optimisation for logistic solutions such as vehicle routing for the timely delivery of good or pick-up of customers by taxi operator.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering, ICT, Mathematics, Physics or Statistics. Ideal candidates must have an aptitude for mathematics and some in programming basics.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr Kenneth Scerri
Thematic areas of research: Signal and image processing, Machine and computer vision
This research area is focused on music analysis, focusing on creating robust optical music recognition systems; introducing computational expression into musical pieces; musical transcription as well as the development of systems to provide feedback to musical students.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in signal processing; an interest in image processing and computer vision; an aptitude for mathematics and proficiency in programming
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr Alexandra Bonnici or Prof. Ing. Kenneth Camilleri.
Thematic areas of research: Adaptive and intelligent control, Automatic control systems, Computational intelligence, Nonlinear control systems, Neural networks.
This research area is focused on the design and implementation of adaptive and intelligent control systems. This includes the design of controllers that use AI techniques to learn autonomously and in real-time how to reliably control dynamic systems in the presence of complexities such as time-varying parameters, model uncertainty, unknown nonlinear dynamics and system faults.
Thematic areas of research: Signal and image processing, Machine and computer vision
This research area is focused on historical document image analysis. This research will focus on image processing algorithms to clean historical documents from artefacts introduced through paper ageing, water damage and ink bleeding.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates must have a good background in signal processing; an interest in image processing and computer vision; an aptitude for mathematics and proficiency in programming.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Dr Alexandra Bonnici, Prof. Ing. Kenneth Camilleri or Dr Ing. Stefania Cristina.
For M.Sc. studies, students must be in possession of, or expect to obtain, at least a Second Class Honours degree ideally in one of the following areas (or any other related area): Electrical & Electronic Engineering or ICT. Ideal candidates should preferably have a good background in signal and image processing; an interest in biomedical engineering; an aptitude for mathematics and good programming skills.
For Ph.D. studies, students must be in possession of a First Class Honours degree, or an M.Sc. in the areas listed above.
If you require further details, please contact Prof. Ing. Kenneth Camilleri or Dr. Owen Falzon.
