The HPI Research Symposium: Connecting Industry & Academia
As the HPI Research Schools are an interdisciplinary effort of the HPI research groups, the HPI Research Symposium covers a wide range of topics related to service-oriented computing, data science and data engineering.Excellent speakers – both from industry and academia – leaders in their respective field of research, are invited to talk about their latest projects and resulting outcomes.
Agenda
The event will take place online, for three hours on each day:
Monday, April 19, 13.00 – 16.00 (Master Day - HPI Master Projects)
| 13.00 - 13.30 Welcome & Tilmann Rabl (HPI): "Successful Systems Research" |
13.30 - 13.45 Julian Hugo, Spoorthi Kashyap, Nataniel Müller & Justus Zeinert
(Master Project Renard): "Improving Network Integration Algorithms
for Drug Predictions" |
13.45 - 14.00 Finn Klessascheck, Tom Lichtenstein & Simon Siegert (Master
Project Weske): "Process Mining in Personalized Medicine" |
14.00 - 14.15 Henrik Wenck: "A Bayesian Analysis of the Effectiveness of
Non-Pharmaceutical COVID19 Interventions" |
14.15 - 14.30 Oliver Adameck, Lukas Fritzsche & Jonas Noack (Master Project
Baudisch): "Super Fast Fabrication of 3D Models by Folding Laser-Cut Foam Core" |
| 14.30 - 15.00 Coffee Break |
15.00 - 15.15 Lars Jonas Bollmeier & Björn Daase: "Maximizing Persistent Memory
Bandwidth Utilization for OLAP Workloads" |
15.15 - 15.30 Christian Flach: "Call Graphs for Live Programming - Implementing Call
Tracing in Babylonian/S based on a Survey of Property Extraction
Techniques for Dynamic Analysis" |
15.30 - 15.45 Nicolas Klodt, Lars Seifert & Arthur Zahn (Master Project Friedrich): "A Color-blind
3-Approximation for Chromatic Correlation Clustering and Improved Heuristics" |
15.45 - 16.00 Tobias Bredow, Jona Otholt & Emanuel Metzenthin (Master Project Naumann):
"Multimodal Analysis for Cultural Data"
|
Tuesday, April 20, 09.15 - 12.30 (22nd Future SOC Lab Day)
| 09.15 - 09.20 Welcome to the 22nd Future SOC Lab Day by Andreas Polze |
09.20 - 09.50 Jeroen Mackenbach (Dell Technologies): "Why the edge is losing its…
edge (and how to get it back)" |
09.50 - 10.20 Dr. Nitinder Mohan (Technical University of Munich): "Reality Check
on Edge Computing" |
| 10.20 - 11.00 Coffee Break |
| 11.00 - 11.30 Stefan Halfpap (HPI): "Query-Driven Partial Database Replication" |
11.30 - 12.00 Jossekin Beilharz (HPI): "Machine Learning to scale telemedical
interventions for cardiovascular diseases" |
| 12.00 - 12.30 Steering Committee Meeting (not public) |
| 12.30 End of Future SOC Lab Day |
Wednesday, April 21, 9.00 – 12.00 (Doctoral Symposium)
| 09.00 - 10.00 Podium with Research School Alumni |
| 10.15 - 10.30 Christian Adriano (HPI) |
| 10.30 - 10.45 Yuan Zhi (Nanjing University) |
| 10.45 - 11.00 Wang Yue (HPI) |
| 11.15 - 11.30 Muhammad Abdullah (HPI) |
| 11.30 - 11.45 Enock Mbewe (University of Cape Town) |
| 11.45 - 12.00 Shir Cohen (Technion) |
| 12.30 - 13.30 Gather.town with Poster Session |
Thursday, April 22, 15.00 – 18.00 (Symposium with Industry & Academia)
| 15.00 - 15.15 Opening by Christoph Meinel, Felix Naumann & Andreas Polze |
15.15 - 15.45 Viktor Leis (Friedrich-Alexander-Universität Erlangen-Nürnberg): "LeanStore: A
High-Performance Storage Engine for Modern Hardware" |
| 16.00 - 16.45 Elevator Pitches |
17.00 - 17.30 Boris Glavic (Illinois Institute of Technology): "Efficient Uncertainty Tracking for
Complex Queries with Attribute-level Bounds" |
17.30 - 18.00 Padhraic Smyth (University of California, Irvine): "Active and Bayesian Learning of
Classifier Performance" |
Friday, April 23, 9.00 – 12.00 (Symposium with Industry & Academia)
09.00 - 9.30 Yoav Etsion (Speedata/Technion): "Accelerating Data Analytics with the Speedata
Analytics Processing Unit (APU): From Academia to a Startup" |
09.30 - 10.00 Felix Eberhardt (HPI): "Memory Disaggregation - Impact
on Operating System and Application" |
| 10.00 - 10.30 Christian Dörr (HPI): "A Quantification of Cryptojacking at Internet Scale" |
| 10.30 - 11.00 Coffee Break |
11.00 - 11.30 Philipp Hacker (European New School of Digital Studies): "Legal
Constraints for Algorithmic Fairness" |
