Intelligent Systems and Artificial Vision
Victor Neagoe
Coordinator
Overview
The SIVA Master's program aims at transferring the theoretical and practical knowledge needed to identify and develop strategies to solve complex technical problems, specific to the field of Intelligent Systems and Machine Vision. The keywords of the program correspond to the triplet: COMPUTER INTELLIGENCE (with focus on DEEP LEARNING)+COMPUTER VISION+ BIG DATA MINING. The programme focuses on the components of the above-mentioned triplet, which correspond to the following key disciplines: Computational Intelligence I, II and III, Computer Vision I and II, Computational Imaging, Human-Machine Visual Interfacing, Big Data Mining. Alongside these, the programme also contains other significant disciplines for the field of Information Technology such as Multimedia Technologies and Equipment, Information Architecture, Sensor Networks, Stochastic Processes and Stochastic Modelling. SIVA is the only approved Master's program at ETTI faculty in the field of Computers and Information Technology (CTI).
Who is it for?
The SIVA program aims to educate highly trained specialists in an extremely current and exciting area of research included in the field of Computers and Information Technology (CTI), representing the triplet: Artificial Intelligence + Computer Vision + Big Data Mining: engineers, mathematicians, doctors, economists. The programme contributes to the development of innovation and outstanding technical skills needed for the implementation of practical applications and scientific research in these frontier areas.
Objectives of the Master's programme
The SIVA Master's program aims to present the fundamentals of Computational Intelligence including intelligent techniques of natural inspiration (such as artificial neural networks, evolutionary computation, swarm intelligence, fuzzy systems, etc.), as well as current DEEP LEARNING techniques, focused on Computer Vision and Big Data Mining applications. Another objective is oriented towards the students' acquisition and use of fundamental image processing methods, the design of specific applications for Computer Vision in real systems, the analysis of video sequences in the context of industrial, medical, robotics or Earth observation applications, and automatic human-machine visual interfacing. A third objective is to develop the ability to automatically extract relevant information from large data archives (BIG DATA MINING).
Specialist skills offered to graduates
- Ability to model and design software/hardware systems based on artificial intelligence techniques to solve pattern recognition problems in Earth observation, robotics, biology, medicine, economics, finance, games, quality control; within artificial intelligence, ability to use both naturally inspired intelligent techniques (computational intelligence) and Deep Learning models.
- Ability to model and design image processing and analysis software/hardware systems for specific applications; ability both to use existing image processing software and to design and implement new systems using specific interfaces and languages.
Examples of research directions addressed
- CNN-GAN system for facial expression identification
- Advanced change detection methods in SAR/LANDSAT satellite imagery for disaster monitoring
- Computational intelligence techniques for financial prediction
- Deep-CNN model for the diagnosis of drunkenness in thermal facial images
- Deep Learning for data mining in Earth Observation satellite imagery.
- Swarm Intelligence Algorithms for Earth Observation Image Exploration
- Process automation using intelligent software robots
- Artificial intelligence techniques for medical image analysis and diagnosis
- Deep learning and computer vision for autonomous vehicle driving