The information surrounding us is not only overwhelming but also subject to limitations of systems and applications, including specialized devices. The diversity of systems and the spectrum of situations make it almost impossible for an end-user to handle the complexity of the challenges. Embedding intelligence in systems and applications seems to be a reasonable way to move some complex tasks form user duty. However, this approach requires fundamental changes in designing the systems and applications, in designing their interfaces and requires using specific cognitive and collaborative mechanisms. Intelligence become a key paradigm and its specific use takes various forms according to the technology or the domain a system or an application belongs to.

INTAP 2020, The 3rd International Conference on Intelligent Technologies and Applications, is the inaugural event on advances towards fundamental, as well as practical and experimental aspects of intelligent applications.

We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All topics and submission formats are open to both research and industry contributions.


INTAP 2020 conference tracks:


Intelligence: Agents, deep learning, machine learning, web intelligence, multiple intelligence, etc.
IoT: Sensor based Systems, Smart buildings, Wearable systems, Implantable Systems, etc.
Data Analysis: Big data analytics, text analytics, web analytics, business intelligence, etc.
Decision Support Systems: Health systems, sales optimization, etc.
Intelligent Environments: Ambient, virtual, and mixed reality, semantic web, etc.
Social Media Analytics: Text mining, opinion mining, sentiment analysis, etc.
Smart Environments: Pervasive intelligence, ubiquitous computing, RFID and BLE, etc.
Robotics: Machine Design, Industrial IT, Intelligent Monitoring, Robotics & Vision, Collaborative Robots
Visual Communication: Affective interactions, intelliVision, multimedia learning, intelligent video surveillance
Intelligent Telecom Systems: 5/G IOT, Digital Forensices, Fraud mitigation, Market Analysis and Forecast
AI/ML Security, Privacy & Trust: Biometrics, machine learning for cybersecurity, Privacy by Design, privacy preserving ML and AI, Privacy-preserving data mining and big data analytics , trustworthy, safe and resilient intelligent systems, secure information flow/sharing, ML / DL over encrypted data, blockchain/ distributed-ledger technologies, threat models and attack modeling for AI/ML and applications etc.
AI for Software Engineering: principles, practices and applications
Natural Language Systems: tools, theories, and case studies
Miscellaneous: Ambient intelligence, persuasive intelligence, bio-inspired intelligence, etc.