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"

Member since December 2022

Supervisor: Prof. Dr. Bernhard Renard

Topic: Computational methods for characterization of the human post-translational modification landscape

Member since June 2023

Supervisor: Prof. Dr. Tobias Friedrich

Tahir Miriyev

Member since October 2021

Supervisor: Prof. Dr. Christopher Lippert

Topic: PET plan deep analysis

Member since September 2022

Supervisor: Prof. Dr. Anja Lehmann

Topic: Privacy Enhancing Protocols

Dr. Matteo Paganelli

Member since May 2023

Supervisor: Prof. Dr. Felix Naumann

Francesco Pugnaloni

Member since January 2024

Supervisor: Prof. Dr. Felix Naumann

 

Linea Schmidt

Member since October 2023

Supervisor: Prof. Dr. Bernhard Renard

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

Member from October 2019 to September 2023

Supervisor: Prof. Dr. Bert Arnrich

Topic: Low-Cost and Unobtrusive Human Motion Analysis

Member from April 2019 to June 2020

Supervisor: Prof. Dr. Tobias Friedrich

Tarek Galal

Member from May 2022 to March 2023

Supervisor: Prof. Dr. Anja Lehmann

Thema: Analysis and Design of Privacy Preserving Protocols

Member from June 2019 to May 2023

Supervisor: Prof. Dr. Felix Naumann

Member from August 2020 to October 2021

Supervisor: Prof. Dr. Christoph Lippert

Graduated: 2022

Member from January 2017 to December 2020

Supervisor: Prof. Dr. Felix Naumann

Topic: Verbose CSV Document Normalization with Cell Classes

 

Alexander Kastius

Member from October 2020 to April 2022

Supervisor: Dr. Michael Perscheid

Topic: Reinforcement Learning for Revenue Management

Member from December 2019 to November 2020

Supervisor: Prof. Dr. Tobias Friedrich

Member from December 2020 to November 2021

Supervisor: Prof. Dr. Bernhard Renard

Stefan Neubert

Member from April 2019 to March 2023

Supervisor: Prof. Dr. Tobias Friedrich

Topic: Enumeration Complexity of Problems in P

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

Member from November 2016 to December 2020

Supervisor: Prof. Dr. Felix Naumann

Topic: Modeling and deep learning with applications in the field of text mining

Gerardo Vitagliano

Member from December 2018 to November 2022

Betreuer: Prof. Dr. Felix Naumann

Topic: Structural Date Preparation

Wang Yue

Member since December 2019 to December 2024

Supervisor: Prof. Dr. Tilmann Rabl

Topic: DESIOT: Processing Multiple Queries with IoT Networks

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

Prof. Dr. h.c. Hasso Plattner

Enterprise Platform and Integration Concepts

Representative:
Dr. Michael Perscheid
E-Mail: michael.perscheid(at)hpi.de

Prof. Dr. Bert Arnrich

Digital Health - Connected Healthcare

Prof. Dr. Tobias Friedrich

Algorithm Engineering

Prof. Dr. Anja Lehmann

Cybersecurity - Identity Management

Prof. Dr. Christoph Lippert

Digital Health - Machine Learning

Prof. Dr. Felix Naumann

Informationssysteme

Prof. Dr. Tilmann Rabl

Data Engineering Systems