Research Map

 

 

Direction-I: Intelligent Environment and Control Systems

Direction-II: Intelligent Technology for Blind and Visual Impairment

Direction-III: Bio-informatics and Bio-medical Engineering

Direction-IV: Network and Information Security (NIS)

Direction-V: Social networks and graph mining

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Direction-I: Intelligent Environment and Applications

Direction Objective: Intelligent environment is any space where ubiquitous technology informs the learning process in an unobtrusive, social or collaborative manner. Thus an intelligent environment can be an aware room or building, capable of understanding something about the context of its inhabitants or workers. The objective and mission of the Intelligent Environment group is to use the technologies of computational intelligence and wireless sensor networks in order to solve some environmental-related problems; such as water and air pollution monitoring and alerting, as well as develop different smart environments that are automatically adjustable depending on users’ preferences. On the other hand, adding a wireless dimension to biometric identification systems (BIS) provides a more efficient and reliable method of identity management across criminal justice and civil marketsThe research topics that are currently being carried out by the IE group are:

·         Smart Reading Environments (Intelligent Classroom) Intelligent Lighting system

·         Intelligent Water/Air Quality Monitoring

·         Biometrics over communication

Also there are some suggested topics for future research such as:

·         Structural Health Monitoring (SHM)

·         Intelligent Environment for Tele-education

·         Intelligent Health monitoring

·         Intelligent Wireless Sensor Networks

·         Intelligent traffic monitoring in vehicular WSN

·         Mobile Biometrics identification  

Direction Publications:  Go to Group Publications

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Direction-II: Intelligent Technology for Blind and Visual Impairment

 The Intelligent technology for blind and visual impaired people subgroup at  the MIRL  focuses on the recent technology  including the computer vision, speech processing, e-learning,  image processing and object recognition in complex domains. The challenge of this group is to address these technologies in the broader context of Artificial Intelligence, and to integrate techniques from empirical evaluation and machine learning. Group goal is to use these techniques to develop computer vision systems whose behaviors are both reliable and understood.  Research points are: 

·         Text to speech processing

      ·         Document management for blind and visual impairment people

      ·         Developing Games for blind and visual impairment people 

·         Mobil applications for blind and visual impairment people 

·         Automatic Sign Language (ASL) Recognition for  Deaf-Blind people

 Direction Publications:  Go to Group Publications

Direction-III: Bioinformatics and Biomedical Engineering 

Objective Direction: The Biomedical informatics group  mission  is to design computer-based decision aids and  develops decision support systems for clinical decision making and scientific discovery using computational  intelligence and image processing technologies.  Currently, members of  BI  group are conducting research in the following areas: 

·         Bioinformatics 

·         Medical image processing 

·         Breast cancer analysis, (sonar, MRI, fMRI, CT) 

·         Liver fibrosis and tumor analysis (biopsy, MRI, CT) 

·         3D Dental image processing and visualization

Direction Publications:  Go to Group Publications

Direction-IV: Network  and Information Security (NIS)

Direction Objectives: The network and information security  mission is to study and solve challenging security problems in networks and information  systems including watermarking, biometrics and cryptology. Currently, members of NIS group are conducting research in the following areas: 

·      Image authentication 

·      Cryptanalysis 

·      Biometrics including face, fingerprint,  and iris print 

·      Watermarking  

·      Digital Signatures 

·      Security Issues in Social Networks

Direction Publications:  Go to Group Publications

Direction-V:  Social networks and Graph Mining 

Direction Objective: Social Networks encourage the cross-disciplinary research integration of different sciences such as computer science, engineering, biology, physics, anthropology, social sciences, etc.. The main goal of this track is to improvise cross-disciplinary research discussions that are of relevance to new and novel computer networking ideas, applications and experimental results in the area of all forms of social networks in thre form of Ph.D and MS quality projects. The research topics that are currently being carried (2012-2013) out by the Social Informatics and Graph Mining group are: 

• Social networks analysis
• Social information retrieval
• The impact of social networking on future Network Design 
• System design for Social Networks
• Evolutionary  Social science of Networks
• Knowledge discovery from large Social Networks
• Social networks for intelligent systems
• Physical and virtual Social Networks
• Mobile and pervasive Social Networks
• Wiki network

Direction Publications:  Go to Group Publications