PhD in Engineering - Applied Data Science

The Applied Data Science (ADS) PhD Program at Cleveland State University is a joint specialization program with the Cleveland Clinic.  The Department of Computer Science (CS) offers programs of coursework and research leading to the Doctor of Philosophy in Engineering, Applied Data Science Specialization, which is run as a joint collaboration with the Cleveland Clinic's Lerner Research Institute (LRI).

The Department Faculty and Medical Research Doctors of LRI work in collaboration to offer PhD training in Data Science in relation to Medical and Biological sciences. Students will be provided with a unique opportunity to conduct research at one of the nation's top medical research institutes.

Description

The Applied Data Science (ADS) PhD Program degree is granted in recognition of high achievement in scholarships and an ability to apply concepts and methods from computer science and data science together with principles of applied information science to solutions of challenging problems in cutting-edge research in medicine in broad foci relating to:

• Biomedical data science and informatics to solve challenging problems in biology, medicine, and public health.
• Data ethics bias in medical information, Fairness in and fairness via AI, Health privacy, and Cybersecurity in healthcare.
• High-performance computing infrastructure, including hybrid cloud, artificial intelligence (AI), and quantum computing technologies, to empower big data medical research.

Research

The ADS Faculty in the Departments of Computer Science, Chemical and Biomedical Engineering, Chemistry, Math and Statistics, and Physics at CSU, and over 30 Medical Research Doctors from the Lerner Research Institute at the Cleveland Clinic conduct their world-recognized research with Substantial external funding and state-of-the-art equipment enable cutting-edge research in the area of Biomedical Data Science and Informatics to solve challenging problems in Biology, Medicine and Public Health by applying concepts and methods from AI, Data Analytics with Machine Learning in data science together.

Degree Requirements

The degree requires a minimum of 60 credit hours beyond a master’s degree, with a minimum of thirty (30) credits of coursework and thirty (30) credits of doctoral research. Students are expected to pursue a broad program of study, pass written and oral examinations, and submit an innovative, high-quality dissertation.

Admission and Degree Requirement, Catalog 2024-25

Program Committee

Sun S Chung s.chung@csuohio.edu

Apostolos Kalatzis (a.kalatzis@csuohio.edu)

Sathish Kumar (s.kumar13@csuohio.edu)

Program Faculty

All Computer Science program faculty, CSU

Brian Davis, Ph.D.
Associate Dean of Research and Graduate Affairs
Washkewicz College of Engineering, CSU
https://engineering.csuohio.edu/dean/deans-office-administration

Demitre Serletis, MD, PhD
Associate Staff Physician (Neurosurgeon-Scientist), Epilepsy Center
Cleveland Clinic
https://my.clevelandclinic.org/staff/29273-demitre-serletis

Shravan Kethireddy, MD, FACP
Associate Staff, Critical Care Medicine, Respiratory Institute
Cleveland Clinic
https://my.clevelandclinic.org/staff/27971-shravan-kethireddy

For Information Contact

Graduate Program Director, ADS 
Department of Computer Science  
Cleveland State University 
2121 Euclid Avenue, FH 212 
Cleveland, OH 44115-2425 
216-687-4604

E-mail:

Kathleen Session (k.sessions@csuohio.edu)

Sun S Chung (s.chung@csuohio.edu)