Osman Yagan
Research Professor
Electrical and Computer Engineering
Orcid identifier0000-0002-7057-2966 (opens in a new tab)
- Research ProfessorElectrical and Computer Engineering
- 412-268-3976 (Work)
- Carnegie Mellon University, Electrical and Computer Engineering, 5000 Forbes Ave, Pittsburgh, Pennsylvania, 15213, United States
BIO
Osman Yağan is a Full Research Professor of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU), where he is also an affiliate faculty in the School of Computer Science and a core member of CyLab Security and Privacy Institute. Prior to joining the faculty of the ECE department in August 2013, he was a Postdoctoral Research Fellow in CyLab at CMU. Dr. Yağan received his Ph.D. degree in Electrical and Computer Engineering from the University of Maryland at College Park, MD in 2011, and his B.S. degree in Electrical and Electronics Engineering from the Middle East Technical University, Ankara (Turkey) in 2007.
Dr. Yağan's research focuses on modeling, analysis, and performance optimization of computing systems, and uses tools from applied probability, network science, data science, and machine learning. In the context of data science and ML, he is working on statistical inference and decision making using sequential samples (e.g., multi-armed bandits), and resilient distributed machine learning. On the network science side, he has broad interests including robustness of cyber-physical systems with emphasis on critical infrastructure systems; secure and reliable design of large-scale ad-hoc networks with an increasing focus on emerging applications of Internet of Things; and contagion processes in complex networks with a focus on modeling, analysis, and control of spread of viruses, (mis)information, and opinions.
Dr. Yağan is a senior member of IEEE, and a recipient of a CIT Dean's Early Career Fellowship, an IBM Academic Award, and best paper awards in ICC 2021, IPSN 2022, and ASONAM 2023.
Dr. Yağan's research focuses on modeling, analysis, and performance optimization of computing systems, and uses tools from applied probability, network science, data science, and machine learning. In the context of data science and ML, he is working on statistical inference and decision making using sequential samples (e.g., multi-armed bandits), and resilient distributed machine learning. On the network science side, he has broad interests including robustness of cyber-physical systems with emphasis on critical infrastructure systems; secure and reliable design of large-scale ad-hoc networks with an increasing focus on emerging applications of Internet of Things; and contagion processes in complex networks with a focus on modeling, analysis, and control of spread of viruses, (mis)information, and opinions.
Dr. Yağan is a senior member of IEEE, and a recipient of a CIT Dean's Early Career Fellowship, an IBM Academic Award, and best paper awards in ICC 2021, IPSN 2022, and ASONAM 2023.
ACADEMIC POSITIONS
- Research ProfessorCarnegie Mellon University, Electrical and Computer Engineering, Pittsburgh, United States1 Jul 2022 - present
- Associate Research ProfessorCarnegie Mellon University, Electrical and Computer Engineering, Pittsburgh, United States1 Jul 2018 - 30 Jun 2022
- Assistant Research ProfessorCarnegie Mellon University, Electrical and Computer Engineering, Pittsburgh, United States1 Aug 2013 - 1 Jun 2018
- Graduate Research AssistantUniversity of Maryland, Baltimore, College Park, United States1 Aug 2007 - 1 Aug 2011
DEGREES
- Ph.D., Electrical and Computer EngineeringUniversity of Maryland, Baltimore, Baltimore, United States2011
- B.S., Electrical and Electronics EngineeringMiddle East Technical University, Ankara, Turkey2007
POSTGRADUATE TRAINING
- Postdoctoral Research FellowCarnegie Mellon University, CyLab Security & Privacy Institute, Pittsburgh, United States1 Dec 2011 - 1 Aug 2013
- Visiting Postdoctoral ScholarArizona State University, Tempe, United States1 Aug 2011 - 1 Nov 2011
CAMPUS
- Pittsburgh
SUSTAINABLE DEVELOPMENT GOALS
- 3 Good Health and Well Being
- 9 Industry, Innovation and Infrastructure