Dr. Abedjan Prof

Professor

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Biography

Prof. Abedjan is an expert in data integration and data cleansing, with numerous contributions to the field through tutorials and workshops at major conferences such as ICDE and VLDB. He has been recognized as a distinguished reviewer for SIGMOD and has guided multiple students through successful thesis defenses. His research notably addresses the application of machine learning to data integration, with a focus on optimizing data lakes and discovery systems. Abedjan has worked collaboratively on projects that develop user-driven approaches for catalogue enrichment and has been involved in establishing the Department of Data Integration and Data Preparation (D2IP) at TU Berlin.

Research Interests

Experience

Professor

2024-03-01 — Present

Technische Universität Berlin • Berlin

Established the Department of Data Integration and Data Preparation (D2IP).

Requirements for Technical University of Berlin

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:87
PTE
Overall
Required:65
Duolingo
Overall Score
Required:120
Overall
Required:120
Prerequisites
Recognized first university degree (Bachelor or equivalent) Specific ECTS in related subjects (e.g., 36 ECTS in Fundamentals of Computer Science for CS programs) Evidence of previous Master's studies (if applicable) Module descriptions of previous study program
Application Checklist
  • Officially certified copy of University degree certificate
  • Transcript of Records
  • Tabular CV
  • Motivation letter (program specific)
  • APS Certificate (for applicants from China, India, and Vietnam)
  • Proof of English proficiency (B2/C1 depending on program)
  • Copy of Passport
  • Preliminary Review Documentation (VPD) from uni-assist
Specialization Notes

Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.