Event Mining for Explanatory Modeling (ACM Collection II)

Descripción:

2021. paperback. . . . . . N° de ref. del artículo V9781450384834

Denunciar este artículo

Sinopsis:

Acerca del autor: Laleh Jalali is a computer scientist with an extensive background in applying advanced machine learning, deep learning, and data mining techniques in different domains such as Healthcare and Industrial Analytics. She is currently a senior scientist at Hitachi America Ltd. R&D. Her professional interests focus on event-based frameworks, big data analytics, healthcare analytics, natural language understanding, and context-aware mobile systems. At Hitachi, Laleh has been involved in many customer co-creation projects where the team owns the end-to-end process, from research to production models. Before Hitachi, Laleh graduated with a PhD in Computer Science from the University of California, Irvine. With Prof. Ramesh Jain as her advisor, she completed her doctoral thesis focusing on designing and developing an event mining framework, called EventMiner, with an emphasis on interactivity and effective integration of techniques from data mining, event processing, and human-computer interaction. Key elements of her work were published in International Conference on Multimedia & Expo (ICME), and the brave new ideas track in Association for Computing Machinery Multimedia (ACC MM), and International Conference on Multimedia Retrieval (ICMR).

Ramesh Jain is an entrepreneur, researcher, and educator. He is currently a Donald Bren Professor in Information & Computer Sciences at the University of California, Irvine (UCI). Earlier he worked at many other universities including University of Michigan, University of California at San Diego, and Georgia Tech. His research interests covered Control Systems (cybernetics), Computer Vision, Artificial Intelligence, and Multimedia Computing. His current research passion is in addressing health issues using cybernetic principles building on the progress in sensors, mobile, processing, artificial intelligence, computer vision, and storage technologies. He is founding director of the Institute for Future Health at UCI. He is a Fellow of the American Association for the Advancement of Science (AAAS), the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), the Association for the Advancement of Artificial Intelligence (AAAI), the International Association for Pattern Recognition (IAPR), and the Society of Photo-Optical Instrumentation Engineers (SPIE, formerly the Society of Photographic Instrumentation Engineers).

Ramesh co-founded several companies, managed them in their initial stages, and then turned them over to professional management. He enjoys new challenges and likes to use technology to solve them. He is participating in addressing the biggest challenge for us all: how to enjoy a long life in good health.