Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
Login
 

Research School „Data Science and Engineering”

The increasing abundance of data in science and in industry creates many challenges and opportunities. Data science has grown to be a foundational discipline in information technology, allowing new insights from data and creating ever more intelligent applications. Simultaneously, it is becoming increasingly difficult to collect, clean and deliver the vast amounts of data and apply and maintain complex data science processes. Targeting these challenges, the discipline of data engineering has become equally foundational.

The 2019 newly established research school „Data Science and Engineering” unites top PhD students in all areas of data-driven research and technology, including scalable storage, stream processing, data cleaning, machine learning and deep learning, text processing, data visualization, digital health and more. We apply our research to many different use cases across the participating interdisciplinary research groups, joining forces whenever possible.

Speakers of the HPI Research School "Data Science and Engineering"

Data Engineering Systems

E-Mail: tilmann.rabl(at)hpi.de

Members of the HPI Research School "Data Science and Engineering"

Tarek Galal Abdelsalam

Member since May 2022

Supervisor: Prof. Dr. Anja Lehmann

Margarita Bugueño Pérez

Member Since January 2022

Supervisor: Prof. Dr. Gerard de Melo

Marco Cipriano

Memeber Since April 2022

Supervisor: Prof. Dr. Gerard de Melo

 

Eshant English

Memeber since December 2021

Supervisor: Prof. Dr. Christoph Lippert

Johannes Maximilian Kroschewski

Member since May 2021

Supervisor: Prof. Dr. Anja Lehmann

Topic: Privacy-Preserving Identity Management

Alejandro Sierra

Member since January 2021

Supervisor: Prof. Dr. Felix Naumann

Topic: Natural Language Processing with Domain-Specific Knowledge

Alumni of the HPI Research School "Data Science and Engineering"

Alexander Kastius

Member from October 2020 to April 2022

Supervisor: Dr. Michael Perscheid

Theme: Reinforcement Learning for Revenue Management

Member from December 2020 to November 2021

Supervisor: Prof. Dr. Bernhard Renard

Member from August 2020 to October 2021

Supervisor: Prof. Dr. Christoph Lippert

Member from April 2019 to June 2020

Supervisor: Prof. Dr. Tobias Friedrich

Member from January 2017 to December 2020

Supervisor: Prof. Dr. Felix Naumann

Topic: Verbose CSV Document Normalization with Cell Classes

Member from December 2019 to November 2020

Supervisor: Prof. Dr. Tobias Friedrich

Member from November 2018 to October 2020

Supervisor: Prof. Dr. Bert Arnrich

Topic: Federated Learning

Manoj Prabhakar

Member from November 2020 to Mai 2022

Supervisor: Prof. Dr. Gerard de Melo

Topic: Connecting Text and Knowledge using Deep Learning

Graduated 2020

Member from November 2016 to December 2020

Supervisor: Prof. Dr. Felix Naumann