STAFF AND STUDENTS
The Center for SMART Health draws upon experience from multiple facets of the UCLA campus, with a dedicated team of staff and students.
STAFF
Panayiotis Petousis obtained his bachelor’s in biomedical engineering and master’s in biomedical engineering from Imperial College London, United Kingdom, in 2013. He received his PhD in Bioengineering from UCLA in 2019 with an emphasis in Medical Imaging Informatics. His research interests include machine learning, probabilistic graphical models, reinforcement learning, and sequential decision making. Dr. Petousis is a Senior Health Informatics Data Scientist for the Clinical and Translational Science Institute (CTSI) at UCLA.
Dr. Ramin Ramezani is currently an Adjunct Associate Professor of Computer Science and a Research Scientist at the Center for Smart Health, UCLA. He is also Managing Technical Director at Clinical and Translational Science Institute (CTSI) within David Geffen School of Medicine. He was formerly the Chief Technologist in the Big Data and Analytical Unit within the Department of Surgery and Cancer at Imperial College London where he still holds an honorary association with. Prior to that, he was a member of Computational Creativity Group, Department of Computing, at Imperial College where he finished his PhD: “An Artificial Intelligence Framework for Investigative Reasoning”. The research entailed Automatic Reformulation of AI Problems and Combined Reasoning. His research is focused on employing various engineering techniques to tackle problems that arise in medical domain, primarily, with personal health and early disease detection tendencies.
STUDENTS
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.
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
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.
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.
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.