Research Group
If you are interested in joining my group to pursue research for a Ph.D. or M.S., please contact me.
Requirements strong analytical skills (e.g. statistics, probability, mathematical modeling) and programming skills in one or more languages (R, Matlab, Python, C++).
Desired (but not required) qualifications are interest and knowledge in healthcare applications and publications (conference proceedings or journal articles).
Only eligible applicants will be contacted directly and interviewed (in-person or online).
Suzan Arslanturk
Assistant Professor, Computer Science
PhD in Computer Science, Oakland University
MSc in Computer Science, Oakland University
BSc in Computer Engineering, Baskent University, Turkey
Current students
Sima Ranjbari
PhD Candidate, started Sep 2021
Focus area: Multi-modal data integration, disease progression prediction
MSc in Health Systems Engineering, Tarbiat Modares University
BSc in Industrial Engineering, University of Tabriz
Latif Candir
PhD Candidate, started Sep 2021
Focus area: Neuro-informatics, Brain seizure detection using EEG Data
Understanding brain dynamics
MSc in Information Systems, Middle East Technical University
BSc in Electrical and Electronic Engineering, Middle East Technical University
Shelia Tuly
PhD Candidate, started Sep 2021
Focus area: Multi-source Data Integration, Domain Adaptation
Understanding brain dynamics
MSc in Information Technology, Jahangirnagar University
BSc in Information Technology, Jahangirnagar University
Seeya Munj
PhD Stduent stated January 2022
Focus area: Drug Repurposing, Cross-cancer disease learning, scRNA data analysis.
MSc in Computer Science, Wayne State University
Tasnimul Taz
PhD Candidate, started Sep 2021
Focus area: Variant Data Analysis, Biomarker Discovery
BSc in Software Engineering, Daffodil International University
Former students
Kaiyue Zhou
Ph.D. Student, Computer Science (2019-2021)
Focus area: Novel Deep Learning Methods for Medical Applications with Limited Data
Current Position: Postdoctoral Researcher, Tsinghua University
Jad Raad
Ph.D. Student, Industrial and Systems Engineering (2017-2023) (co-advisor with Ratna Babu Chinnam)
Dissertation Title: There and Back Again: Anomaly Detection in Neonatal MRI
Brain Scans Current Position: Lead Data Scientist at Alteryx
