Event Mining for Explanatory Modeling

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).