苍爽副教授具有自然科学和社会科学的教学与研究背景。她利用交叉学科的专业知识和优势，采用管理学的理念和模型，运用人工智能、数据分析的创新计算方法对医疗健康、生活质量指数和电子旅游等领域进行研究。专业知识涉及到人工智能、模式识别和计算机软件开发、数学和统计方法，以及经济管理学等专业理念、知识和模型。她被评为中国国家高端外国专家，获第43届日内瓦国际发明展奖、中国发明协会奖，以及第十届国际软件、知识、信息管理及应用会议和第六届国际旅游经济协会会议最佳论文奖。她具有在英国政府部门、工业界和学术界的丰富经验，并担任国际会议的出版主席和编委主席。在研究方面，她以负责人或联合负责人获得并管理超过600多万欧元的多个欧盟委员会资助的项目。她在自然科学领域的Expert Systems with Applications, Decision Support Systems, IEEE Journal of Biomedical & Health Informatics，以及社会科学领域的International Journal of Tourism Research, Tourism Economics等国际期刊发表多篇论文。她被斯坦福大学选为2020年和2021年世界前2%科学家。

应用领域：数字医疗与健康;老龄化社会、影响研究、预测和大数据 研究方法： 1）人工智能：数据挖掘，机器学习和大数据 2）预测：时间序列、计量经济学和人工智能 3）聚类分析 4）结构方程模型：Amos/SmartPLS 5）多元统计和统计推断

Asghar I., Cang S. & Yu H. 2020. The impact of assistive software application to facilitate people with dementia through participatory research. International Journal of Human-Computer Studies (Impact Factor: 4.866) Wang Y., Cang S. & Yu H. 2019. A Survey on Wearable Sensor Modality Centred Human Activity Recognition in Healthcare. Expert Systems with Applications (Impact Factor: 8.665) Wang Y., Cang S. & Yu H. 2018. A Data Fusion based Hybrid Sensory System for Older People’s Daily Activity and Daily Routine Recognition. IEEE Sensors Journal (Impact Factor: 4.325) Asghar I., Cang Shuang & Yu H. 2017. The Usability Evaluation of Assistive Technologies through Qualitative Research Focusing on the People with Mild Dementia. Computers in Human Behaviour (Impact Factor: 8.957) Samdantsoodol, A., Cang S., etc. 2017. Predicting the relationships between virtual enterprises and agility in supply chains. Expert Systems with Applications, 84, 58-73 (Impact Factor: 8.665) Shamim S., Cang S. & Yu H. 2017. Impact of knowledge-oriented leadership on knowledge management behaviour through employee work attitudes. International Journal of Human Resource Management (Impact Factor: 6.026) Shamim S., Cang S. & Yu H. 2017. Supervisory orientation, employee goal orientation and knowledge management among front line hotel employees. International Journal of Hospitality Management, 62, 21-32 (Impact Factor: 10.427) Tang J., Ramos V., Cang S. & Sriboonchitta S. 2017. An empirical study of inbound tourism demand in China: a copula-GARCH approach. Journal of Traveling & Tourism Marketing (Impact Factor: 8.178) Asghar I., Cang S. & Yu H. 2017. Biblometric Study on Recent Research Activities of Assistive Technology for People with Dementia among Leading World Countries, Health Information and Libraries Journal, 34(1):5-19 (Impact Factor: 3.550). Nazmul H., Yu H. and Cang S. 2016. Robots for minimally invasive diagnosis and intervention. Robotics and Computer- Integrated Manufacturing, 41, 127-144. (Impact Factor: 10.103) Chernbumroong S, Cang S. and Yu H., 2015. Genetic Algorithm based classifiers fusion for multi-sensor activity recognition of elderly people. IEEE Journal of Biomedical and Health Information, 19(1), 282-289. (Impact Factor: 7.021) Chernbumroong S, Cang S. and Yu H., 2015. Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition. Expert Systems with Applications, 42(1), 573-583. (Impact Factor: 8.665) Cang S. and Yu. H., 2014. A combination selection algorithm on forecasting. European Journal of Operational Research, 234 (1), 127-139. (Impact Factor: 6.363) Chernbumroong S, Cang S. and Yu H., 2014. A practical multi-sensor activity recognition system for home-based care, Decision Support Systems, 66, 61-70. (Impact Factor: 6.969) Cang S. & Yu. H., 2012. Mutual information-based input feature selection for classification problems. Decision Support Systems, 54(1), 691-698. (Impact Factor: 6.969) Cang S., 2011. A Nonlinear Tourism Demand Forecast Combination Model. Tourism Economics, 17(1), p5-20. (Impact Factor: 4.582) Cang S. and Hemmington, N., 2010. Forecasting UK inbound expenditure by different purposes of visit. Journal of Hospitality & Tourism Research, 34(3), 294-309. (Impact Factor: 4.317)