Intelligent Systems

The mission of the Intelligent Systems Research Group is to promote fundamental and demand driven research whose outcomes for the society have been examined be thorough investigations. The list of topics spans all the areas of modern intelligent systems such as: Artificial Intelligence, Pattern Recognition, Artificial Neural Networks, Soft Computing and Fuzzy Systems, Computer Vision and Active Vision, Image and Video Processing and Analysis, Medical Imaging, Machine Learning, Data Mining, Evolutionary algorithms, Swarm Intelligence, Intelligent Agents and Multi-Agent Systems, Ontologies, Decision Support Systems, Supervised Semi-Supervised and Unsupervised Learning, Intelligent Transportation Systems, Models and Computational Theories of Human Cognition, Intelligent Robotic Systems, Knowledge Management and Representation, Intelligent System Design, Brain-Machine Interface Systems, Evolving Clustering Methods, Optical Character Recognition, etc.

Strategic issues

  1. Reasoning based system Develop computer systems that can somehow mimic or support human intelligence, such as reasoning, learning, problem solving and decision making. The research includes, expert systems, decision support systems, knowledge based systems, and predictive system. The reasoning based system can be applied to assist users in various sectors: healthcare, agriculture, government, industry, commerce, etc.
  2. Object identification and recognition Intelligent systems investigate object identification and recognition. This thematic is intended to explore Ethiopic character identification and recognition for ancient documents and manuscripts. 
  3. Autonomous agents and multi-agent systems - It provides a leading forum for disseminating significant original research results in thefoundations, theory, development, analysis, and applications of autonomous agents and multiagent systems. For example Autonomous Agents and Multi-Agent Systems includes, but is not limited to:
    • Agent decision-making architectures and their evaluation, including: cognitive models; knowledge representation; ontological reasoning; planning (single and multi-agent); reasoning (single and multi-agent)
    • Cooperation and teamwork, including: distributed problem solving; human-robot/agent interaction; multi-user/multi-virtual-agent interaction; coalition formation; coordination
    • Agent communication languages, including: their semantics, pragmatics, and implementation; agent communication protocols and conversations; agent commitments; speech act theory
    • Agent-based system development, including: agent development techniques, tools and environments; agent programming languages; agent specification or validation languages 
    • Agent-based simulation, including: emergent behavior; participatory simulation; simulation techniques, tools and environments; social simulation
    • Robotic agents, including: integrated perception, cognition, and action; cognitive robotics; robot planning (including action and motion planning); multi-robot systems.
    • Virtual agents, including: agents in games and virtual environments; companion and coaching agents; modeling personality, emotions; multimodal interaction; verbal and nonverbal expressivenes
  4. Robotics, Perception and Vision - It deals with robotics, perception and computer vision. Perception and sensing in robotic mobility and manipulation is the current research area that mainly focuses on sense modeling, classification and recognition. Robotics research addresses obstacle detection, environment interaction, mapping, registration, localization and recognition. It is dedicated to understanding visual processes and finding solutions for the outstanding problems in computer vision and robotics.
  5. Machine Learning and Data Mining - Machine learning and Data Mining covers a broad range of topics that include knowledge representation, natural language processing, pattern recognition, and intelligent systems, with applications in many areas including bioinformatics, business intelligence, information retrieval, security, and network science.

Research Group Head: Dr. Tesfa Tegegne