We pursue research on automated reasoning, adaptation of user interface and content to users, adaptive hypermedia and adaptive learning and the theories and applications of decision making and learning. Our research goals include information retrieval, learning from data and data mining.

Search engines and the act of searching is for long one of the Web's fundamental service with enormous importance. Relevancy is a key part and when it comes to semantic graphs it's increasingly demanding and the new infrastructure allows us to perform tasks in a way we couldn’t think about before. Our research involves collaborative and social search, data mining, natural languages, statistical methods of text analysis, morphological analyzers, data processing, graph search, adaptive personalized search algorithms, ranking technologies, meta search and API's from various sources around the globe to enhance search results and more.

Research on human-computer interaction (HCI), and more specifically - User Interface (UI), plays a central role in developing Web applications. Our work is focused on advancing the way users interact within Web elements, socially and alone. This includes search, access, and information management, the display of complex data and information, user modeling and activity recognition, efficient input and interaction, the role of automation and the coupling of intelligent systems with direct manipulation. Our goal is to add functionality and enhance the UIs known from OSs such as Windows and OS X with additions of what the Web can offer such as mashups, AJAX, playable GUIs and more, all intuitively, without overloading the overall user experience.

Media Experience Research combines technical and social perspectives. Drawing on disciplines such as psychology, anthropology and new media design we understand how people create, find, consume and share internet content. We also participate in the evolving experience of the internet by designing and evaluating innovative social media experiences. The research also focuses on Visualization, which is the process of representing data as descriptive images and, subsequently, interacting with these images in order to gain additional insight into the data. Traditionally, computer graphics has provided a powerful mechanism for creating and manipulating these representations.

We research and develop software that contributes to compelling and effective social interactions, with a focus on user-centered design processes and rapid prototyping. We’re interested in how people use computers to enhance their everyday experiences and tasks. We are designing interfaces and experiences to make human-to-human communication seamless and exciting, with new ways to engage new functionality such as learning, group working and organizational structure. We also try to combine reach media experience bringing the messaging, video, chat and more, to the online social computing virtual world.

Our research in software development spans all aspects of making developers more productive and software more trustworthy. It includes programming language design, open source standards implementation at all levels, software specification and verification, development environments and tools, multitasking, threading and processors server architecture, multiprogramming languages development, application servers, Web servers, operating systems, software performance monitoring and optimization, and software quality improvement.

Applied research on security and privacy consist on developing technologies that intelligently support security and privacy for ubiquitous Web environments. Work in this area ranges from usable techniques for securely managing large internet Websites running on any platform and device, to privacy-preserving methods for collecting and disseminating content over such environment This research area incorporates competencies in applied cryptography, human factors, and network security. We are also thinking about content protection methods to help users keep their rights over their assets, building more secured applications, secured access, supporting various open standards.

We are driven by a desire to create new and powerful ways to structure and communicate information in order to support its transformation into knowledge and transmutation into understanding. We deal with tagging, active content, content creation tools and technique, digital libraries, collaboration, sharing and productivity methods, Web blogs, events and calendar managing, conversion tools, wikis, documents life cycle and more.

A key idea of the effort is that Web content should be provided with conceptual background – often referred to as ontologies – which allows machines to put the information into a context in order to make it interpretable. In this research of the semantic Web knowledge representation and reasoning (KR&R) we include RDF(S), OWL and various extensions of it by uncertainty, commonsense, or para-consistent reasoning techniques, rule-based languages and language extensions. This also involves databases and knowledge bases, algorithms, ontology tools, metadata models etc.

This research activity encounters education with Web 2.0 and Web 3.0 technologies in conjunction with techno-pedagogical perception in-mind and proven disciplinary and methods. Additionally we research the combination of video on demand, collaborative learning, personal learning and adaptive learning, social learning, virtual classrooms, supportive learning environment, active participation, learning perception and much more.