Guangyu Zhou is a Ph.D. candidate in Computer Science at the University of California, Los Angeles, advised by Prof. Wei Wang. My research interests include: data mining and machine learning in bioinformatics and medical field. Prior to UCLA, I received my B.Eng of Computer Science from University of Illinois at Urbana-Champaign, under the supervision of Prof. Jiawei Han.
Wenhao is currently a third-year Ph.D. student in Computer Science at University of California, Los Angeles (UCLA). He also works as a graduate student researcher (GSR) at Center for Smart Health at UCLA. His research interests are medical data analytics and causal inference. He also work on cloud computing and IoTs. His PhD advisor is Dr. Ramin Ramezani. In the past two years at UCLA, Wenhao primarily worked on various medical data analytic projects. He built predictive models which can foresee the discharge positions of patients in rehab centers. Meanwhile, He also worked on some well-known data mining issues such as imbalanced learning and missing data issues.
Noor is currently a Ph.D. student in Computer Science at UCLA. She graduated from Amirkabir University of Technology (Tehran Polytechnic) in 2018. Her research interests span across computer vision, deep learning and artificial intelligence. Currently her main focus is on using machine learning and deep learning techniques to predict and detect breast cancer.
Zeyu Li is a fifth-year Ph.D. candidate in the Computer Science Department at UCLA under the supervision of Prof. Wei Wang. His research interests include data mining and recommender systems
Minh Cao is currently working as Programming Analyst and candidate M.S student in Bioengineering at UCLA. He is an expert in Signal processing, Android development and Cloud computing. His research interests mainly focus on applications of sensor networks and cloud computing in IoT mobile health care domain.