Dr. Volker Markl

Professor

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Biography

Volker Markl is a prominent German computer scientist and a distinguished researcher in database systems. He is a full professor and leads the Chair of Database Systems and Information Management at the Technische Universität Berlin. Additionally, he serves as Chief Scientist and Head of the Intelligent Analytics and Massive Data Research Group at the German Research Center for Artificial Intelligence in Berlin. Markl has published over 200 research papers in top-tier scientific venues and has held editorial roles in numerous academic journals. He is recognized as an ACM Fellow for his contributions to query optimization and scalable data processing. Throughout his career, he has received several prestigious awards, including the European Information Society Technologies Prize and the IBM Outstanding Technological Achievement Award. Markl is a strong advocate for data literacy and has a significant impact on both education and technological innovation. He has played a crucial role in the establishment of major projects such as Apache Flink, which has become a critical tool in big data analytics. His extensive experience includes working with leading global tech companies and advising on initiatives related to Big Data and AI.

Research Interests

Experience

Professor

1999-01-01 — Present

Technische Universität Berlin • Berlin

Leading Chair of Database Systems and Information Management.

Chief Scientist

— Present

German Research Center for Artificial Intelligence • Berlin

Head of the Intelligent Analytics and Massive Data Research Group.

Awards

#

ACM Fellow

2014-01-01
#

European Information Society Technologies Prize

2015-01-01
#

Trusted Cloud Award

2016-01-01

Patents

UB-Tree Multidimensional Indexing Technology

Technology developed during doctoral research, transferred to Transaction Software.

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.