意昂2官网上海管理論壇學術講座第136期
講座題目✍️：Machine learning methods for protein structure prediction and ambulatory assessment of alcohol craving機器學習在蛋白質結構預測和嗜酒評測中的應用研究
時間🦸♀️：2015年6月12日（周五），上午10:00
主講人：尚奕教授（美國密蘇裏大學）
主講人簡介：
尚奕📙，美國密蘇裏大學教授，計算機系研究生主管；
1997年博士畢業於伊利諾伊大學香檳分校；
在非線性優化、人工智能、移動計算等領域發表論文160余篇📲，獲得6項專利👫🏼；研究已被NSF, NIH, Army, DARPA, Microsoft, and Raytheon等資助；
ACM終生會員和IEEE高級會員。
內容簡介：
Protein folding is one of biggest unsolved problems in science. In recent years, the gap between the number of known sequences and known structures is rapidly increasing. Computational protein structure prediction provides a cheap, fast, and large scale approach to address the challenge. In this talk, I will present our system Mufold and machine methods for quality assessment and selection of predicted models. Our methods are developed based on a comprehensive set of model features and outperform the best existing methods on some benchmark datasets.
Currently, most methods in clinical psychology research primarily rely on questionnaires and interviews with examiners, which could not provide real-life subject behavioral and psychology data monitoring and collecting services. In this talk, I will present a smart phone-based mobile Ambulatory Assessment System (mAAS) for psychology research, especially alcohol craving studies. Body sensor and survey data collected are used by machine learning methods to build models to assess and predict alcohol or other substance use. The system has been deployed in a field study and initial data collected from real subjects show promising results.
歡迎感興趣的教師、學者和廣大同學踴躍參加！