Prof. Abdullah Mueen specializes in data mining, machine learning, and artificial intelligence. His research focuses on analyzing large-scale time series data, with applications in various domains such as social media, healthcare, and sensor networks. Key Contributions: Time Series Data Mining: Developed efficient algorithms for mining massive time series datasets, addressing challenges related to scalability and interpretability. Social Media Analysis: Worked on detecting anomalies and patterns in social media data, including identifying bot activities and information diffusion. Healthcare Applications: Applied data mining techniques to electronic health records for early detection of clinical deterioration and disease outbreaks. Awards and Recognition: Received the ACM SIGKDD Test-of-Time Award in 2022 for his influential work on time series subsequence mining. Patents: Holds multiple U.S. patents related to temporal data analysis and pattern recognition. Prof. Farah Emad Shamout is an Assistant Professor of Computer Engineering at NYU Abu Dhabi, where she leads the Clinical Artificial Intelligence Lab. She is also an Associated Faculty at the NYU Tandon School of Engineering and an Affiliated Faculty at NYU Langone Research Focus: Clinical AI: Developing machine learning methods and systems using heterogeneous real-world data for applications in computational precision health. Multimodal Data Integration: Combining electronic health records and medical imaging for medical diagnostics and prognostics. Decision Support Systems: Enhancing machine and human decision-making to achieve high performance and utility in clinical practice. If you have more specific information or context about the individuals you're referring to, please provide it, and I'll do my best to assist you further.