Dr. Osman Yağan

Professor

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Biography

Osman Yağan is a Full Research Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. He joined the faculty in August 2013 after serving as a Postdoctoral Research Fellow at CyLab, CMU, and holding a visiting Postdoctoral Scholar position at Arizona State University in Fall 2011. Dr. Yağan earned his Ph.D. in Electrical and Computer Engineering from the University of Maryland in 2011 and holds a B.S. degree in Electrical and Electronics Engineering from the Middle East Technical University, awarded in 2007. His research interests include modeling, analysis, and performance optimization of computing systems, utilizing tools from applied probability, network science, data science, and machine learning. Specific areas of focus encompass statistical inference and decision-making processes using sequential samples, resilience in distributed machine learning, robust cyber-physical systems, and secure design of large-scale ad-hoc networks. Additionally, he studies contagion processes in complex networks, emphasizing the modeling and control of the spread of viruses, misinformation, and opinions. Dr. Yağan has received several accolades, including the CIT Dean's Early Career Fellowship, an IBM Academic Award, and multiple paper awards at conferences such as ICC 2021 and IPSN 2022.

Research Interests

Awards

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CIT Dean's Early Career Fellowship

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IBM Academic Award

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Paper Awards

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.