AI and Education
Co-Organized by: Academy of Future Education, Research Centre for AI and Education, Xi’an Jiaotong – Liverpool University (XJTLU)
The intersection of AI and Education presents a vast landscape of opportunities and challenges. As AI technologies continue to evolve, their potential to transform teaching, learning, and the overall educational experience becomes more apparent. This special session aims to delve into the latest advancements and research in this field, exploring how AI can enhance various aspects of education. We invite experts, researchers, and practitioners to share their insights and experiences through papers and presentations.
Session Chairs: Erick Purwanto and Na Li (XJTLU)
Submission Link: https://edas.info/N31700
Digital Applications in Finance and Business
Digital technology has been part of our lives in the past few decades. Digital technology applications have become increasingly prevalent in banking and business industries. Fintech is one example in these industries. This special session brings a focus on the use of digital technology in finance, business, and related areas. The topics include, but not limited to:
- Financial analytics
- Financial data mining
- Blockchain in Fintech
- Portfolio optimization
- Stock prediction
- Cryptocurrencies
- Market modelling
- E-commerce
- Digital tourism
- Distribution and supply chain
- Marketing technology
- Crowdsourcing technology
Session chair: Prof. Luh Putu Mahyuni, PhD, CMA, CSP (UNDIKNAS University)
Submission Link: https://edas.info/N31700
Applications of Machine Learning and Deep Learning in Healthcare
In recent years, the intersection of machine learning (ML) and deep learning (DL) with healthcare has witnessed remarkable advancements. These technologies have the potential to revolutionize healthcare by enabling personalized medicine, predictive analytics, medical imaging analysis, drug discovery, and much more. This special session aims to bring together researchers, practitioners, and experts from academia and industry to discuss the latest developments, challenges, and opportunities in applying ML and DL techniques to healthcare. We invite submissions on a wide range of topics related to the application of ML and DL in healthcare, including but not limited to:
- Predictive analytics for disease diagnosis and prognosis, Personalized treatment recommendation systems, Medical image analysis and interpretation, Electronic health record (EHR) analysis and predictive modelling
- Drug discovery and repurposing using ML and DL, Patient monitoring and healthcare IoT applications, Natural language processing (NLP) for clinical text mining
- Assistive technologies for healthcare professionals, Ethical considerations and fairness in ML/DL healthcare applications, Security and privacy issues in healthcare data, Automated disease risk assessment and prevention models
- Virtual and augmented reality applications in medical training and surgery, ML/DL approaches for rare disease diagnosis and treatment, Wearable devices and sensor data analysis for remote patient monitoring
- Automated medical coding and billing using natural language processing, ML/DL-based solutions for mental health diagnosis and therapy optimization, Smart healthcare systems for elderly care and assisted living
- Predictive maintenance and fault detection in medical equipment using ML/DL
Session Chairs: Siddhivinayak Kulkarni and Nitin Pise (MIT WPU)
Submission Link: https://edas.info/N31700