Dr. Bogdan Vasilescu

Associate Professor

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Biography

Bogdan Vasilescu is an Associate Professor in the School of Computer Science at Carnegie Mellon University. He specializes in Software Engineering, focusing on the dynamics of software development within distributed teams. Prior to his appointment at CMU, Dr. Vasilescu completed a postdoctoral fellowship at the Davis Eclectic Computational Analytics Lab (DECAL) under the supervision of Vladimir Filkov and Prem Devanbu. He earned his PhD in Computer Science with honors from Eindhoven University of Technology in the Netherlands in October 2014, where he was mentored by Alexander Serebrenik and Mark van den Brand. His dissertation was recognized with an award from the Institute for Programming Research and Algorithmics. Dr. Vasilescu holds a master's degree in Computer Science Engineering from Eindhoven University of Technology and an engineer's degree in Systems Computer Science from the University of Ploieşti in Romania. His research interests lie at the intersection of empirical software engineering, social computing, and computer-supported cooperative work. He utilizes mixed research methods from computer science and social sciences to analyze large datasets, particularly in the realm of open-source software and social coding platforms like GitHub. His work aims to understand and improve productivity and code quality within diverse software teams through data-driven insights.

Research Interests

Experience

Associate Professor

— Present

Carnegie Mellon University • Pittsburgh, PA

Teaches and conducts research in the Software Societal Systems Department.

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.