Chairman: Avleen Malhi, Bournemouth University, UK
Avleen Malhi is working as Senior Lecturer (Assistant Professor) in Data Science and AI at Bournemouth University UK since 2020. She is also working as Visiting researcher in Department of Computer Science at Aalto University in Finland. Avleen Malhi received her PhD in autonomous vehicles (2016), ME in Computer Science (2012) from Thapar Univesity India and BE in Computer Science Engineering (2010). As part of her PhD research (2012-2016), she was working on a funded industrial project by Tata Consultancy Services. Between 2016-2018, she was working as an Assistant Professor in computer science at Thapar University and from 2019-2020, she was working as postdoctoral researcher at Aalto University, Finland. During her postdoctorate, she has worked on different EU H2020 Projects and received significant funding for various projects. She has a leading role in Business Finland project, eparkly (real time smart parking managemnet system) which is 0.9M€ project.
Artificial Intelligence (AI) aims to be at the forefront of disseminating scientific knowledge and impactful discoveries to academics, policy-makers, industry, and the public worldwide. In a broader aspect, AI is understood as the computational tools to sense the meaning out of complex Big Data. These datasets can only be mined by humans after the machines are trained on them to make them perform human-like tasks.
Submissions are welcome in this special track to publish novel AI research problems on novel AI techniques that bring the AI suite of methods to practical use in cross discipline boundaries. Submissions to this special track should report original, significant and previously unpublished results on any aspect of artificial intelligence research.
Recent trends in Artificial Intelligence will be the nexus for AI Research to provide a unified platform for innovative research in core and applied AI areas. The special track currently features the following topics but are not limited to:
- Machine Learning
- Knowledge representation, reasoning and planning
- Decision support systems
- Fuzzy Systems
- Learning and adaptation
- AI for Human Learning and Behavior Change
- AI in Business
- Human-agent interaction
- AI in Food, Agriculture and Water
- Natural Language Processing
- Pattern Recognition
- Big Data and AI
- semi-supervised and unsupervised learning
- Reinforcement learning
- Innovative applications