Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
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HPI Research Symposium 2024

The researchers of the Hasso Plattner Institute in Potsdam, Germany and invited speakers present their current research topics, providing a forum for exchange and discussion of ideas among students, industry and academia.

When, Where, Who & What?

Hasso Plattner Institut
Prof.-Dr.-Helmert-Str. 2-3, Potsdam, Germany
April 10-12, 2024

Insights into Research at HPI

At the 2024 HPI Research Symposium, current and past PhD students and professors from HPI, as well as invited speakers from industry and academia will be presenting their novel research in the fields of computer graphics, human computer interaction, deep-learning, connected healthcare, Agile software development, and data engineering.

We also invite Bachelor and Master students to join the symposium, to learn about the research at HPI and maybe even if pursuing a PhD at HPI would be of interest.

The research talks and case studies will demonstrate industrial applications of modern service-oriented systems integration, analysis of complex data using deep-learning approaches, connected healthcare applications, as well as solutions for the Big Data and IoT challenges we face in our modern world.

We look forward to sharing research among the participants of the symposium at HPI!


Wednesday, April 10, 2024

 Room: H-E.51/52 (Campus 1, Main Building)
09:00Welcome & Check-In
09:30Welcome Note
10:00Elevator Pitches
10:45Talk: Herman Kandjim, University of Cape Town
"Investigating Markov Models Accuracy in Representing Students Programming Behaviours"
11:00Coffee Break
11:30Workshop: AI in Science
13:00Lunch (no catering)
14:30Invited Talk: Dr. Jan Buys
"Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Data-to-Text Generation"
15:15Ice Cream and Poster Session
Alejandro Sierra-Múnera, HPI
"MELArt: Multimodal Entity Linking Dataset for Art"

Rebecca Njuguna, University of Cape Town
"Exploring the Notion of Systems in Indigenous Finance in Afrika"
17:00Discussion about Collaboration
18:00Come Together in Lecture Hall Foyer


Thursday, April 11, 2024

 Room: HS-3 (Campus 1, Lecture Hall)
13:00Welcome & Check-In
13:30Opening Words
Prof. Dr. Andreas Polze, Head of Operating Systems and Middleware Group and Speaker of the HPI Research School
Prof. Dr. Robert Hirschfeld, Head of Software Architecture Group and Speaker of the HPI Research School
13:45Elevator Pitches
Prof. Dr. Christof Fetzer, TU Dresden
"Governance and Confidential Computing"
15:00Coffee Break
15:30Session 1
Prof. Dr. Mirela Alistar, CU Boulder
"Led by Livingness: co-engineering with organisms"

Dr. Laura Beermann, Bosch Research
"Timing-Aware Software-in-the-Loop Simulation of Automotive Applications with FMI 3.0"

Louis Agha-Mir-Salim, Charité
"Transparency in Clinical Decision Support: The Impact of Machine Learning Model Reporting on Physician Rated Relevance and Intended Use of Sepsis Prediction Tools"

Sarah Mulombo Mulaji, University of Cape Town
"Commitment to Pursue National Dgital Identity Projects despite Stakeholders’ Contradictory Interest in the Technology"
17:00Coffee Break
17:30Session 2
Dr. Jiska Classen, HPI
"Novel Threats in Wireless Systems"

Conrad Lempert, HPI
"Tangram: creating precise laser-cut cutouts by integrating alignment into drawing tools"

Emmanuel Ackerson, University of Cape Town
"Intrusion Detection Reliability in Software-Defined Community Wireless Mesh Networks"
19:00Boat Tour and Buffet (starting at Griebnitzsee next to Hotel Avendi, finishing around 21:00 near Potsdam Central Station)


Friday, April 12, 2024

 Room: HS-3 (Campus 1, Lecture Hall)
09:00Welcome & Check-In
09:30Session 3
Prof. Dr. Verena Klös, TU Dresden
"From Self-Adaptive to Self-Explainable Systems"

Dr. Lauritz Thamsen, University of Glasgow
"Leveraging Low-Carbon Energy for Flexible Cloud and Edge Workloads"

Sello Glenton Ralethe, University of Cape Town
11:00Coffee break
11:30Session 4
Prof. Dr. Diana Göhringer, TU Dresden
"Adaptive Computing Systems for Autonomous Robots"

Katazo Natasha Amunkete, University of Cape Town
"Towards the reduction of socio-technical knowledge sharing challenges among ICT workers in under-resourced e-government project teams"
Prof. Dr. Lothar Wieler, HPI
"AI4Health – A global perspective"


The HPI Research Symposium

The symposium will feature talks from invited speakers from industry and academy, as well as current and past members of the HPI Research Schools.

The HPI Research Schools for "Service-Oriented Systems Engineering" (SSE) and "Data Science and Engineering" (DSE) are the two graduate schools of the Hasso Plattner Institute. The branches of the graduate schools are in Cape Town, Haifa and Nanjing. Students enjoy a great research environment and close mentorship by professors and postdocs.

The HPI Research School on Service-Oriented Systems Engineering (SSE)

The HPI SSE Research School has dedicated itself to the field of software engineering in the context of service-oriented systems. The design, analysis and implementation of service-oriented architectures poses numerous research questions from the fields of software engineering, system analysis and modeling, adaptability, and application integration.

Service-Oriented Systems Engineering represents a synthesis of best practices in object orientation, component-based development, distributed computing, and business process management, providing integration of business and IT concerns. The topics of the research school thus have a unique potential not only in terms of academic research but also in industrial applications.

The HPI Research School on Service-Oriented Systems Engineering, founded in 2005, is based on the model of the DFG (German Research Foundation) "Graduiertenkolleg". PhD students at the research school participate in joint activities such as lectures, seminars, winter schools and workshops.

The HPI Research School on Data Science and Engineering (DSE)

The HPI research school on „Data Science and Engineering” unites 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 and more. The participating researchers join forces whenever possible and apply their research to many different use cases across the interdisciplinary research groups.

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 Members of the Research Schools

The professors of the HPI with their research groups are supporting pillars for the two HPI research schools. With their interdisciplinary structure, the research schools interconnect the individual research groups and foster close and fruitful collaborations.

Students enjoy an exceptional research environment, close mentorship by professors and postdocs of the research groups, interactions with their peers, enormous computing power in HPI’s data lab, and significant travel funding.

Please find the latest information about the PhD students of the HPI research schools, their research interests, joint projects, and events at