About Me
I am a postdoctoral researcher with the Parallelism & VLSI Group under supervision of Jörg Keller at FernUniversität in Hagen.
In my research, I am concerned with energy-efficient multicore scheduling and the application of machine learning techniques to scheduling problems. Furthermore, I am interested in neural architecture search, in particular based on metaheuristics.
Interests
- energy-efficient multicore scheduling
- machine learning for scheduling problems
- neural architecture search
Education
PhD in computer science
FernUniversität in Hagen
MSc in practical computer science
FernUniversität in Hagen
MA in philosophy
Eberhard Karls Universität Tübingen
BA in philosophy
Universität Hamburg
Publications
(2024).
Packet-Type Aware Scheduling of Moldable Streaming Tasks on Multicore Systems with DVFS.
JUCS - Journal of Universal Computer Science.
(2024).
Packet-Type Aware Scheduling of Moldable Streaming Tasks on Multicore Systems with DVFS.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing.
(2024).
Heuristic Scheduling of Streaming Applications for Energy Efficiency on Heterogeneous Multicores.
Proceedings of the 25th IEEE International Conference on High Performance Computing and Communications.
(2023).
Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values.
Proceedings of the 19th IEEE International Conference on E-Science (e-Science).
(2023).
Packing Multiple Types of Cores for Energy-Optimized Heterogeneous Hardware-Software Co-Design of Moldable Streaming Computations.
IEEE Access.
(2022).
Network Steganography Through Redundancy in Higher-Radix Floating-Point Representations.
Proceedings of the 17th International Conference on Availability, Reliability and Security.
(2022).
Kleptography in Authentication Protocols: Why is It Still Possible?.
Proceedings of the European Interdisciplinary Cybersecurity Conference (EICC).
(2022).
Integrating Energy-Optimizing Scheduling of Moldable Streaming Tasks with Design Space Exploration for Multiple Core Types on Configurable Platforms.
Journal of Signal Processing Systems.
(2022).
Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures.
Euro-Par 2021: Parallel Processing Workshops.
(2022).
Combining efficiency and scaling effects in activity analysis: towards an improved best practice criterion.
RAIRO-Operations Research.
(2022).
Systematic search space design for energy-efficient static scheduling of moldable tasks.
Journal of Parallel and Distributed Computing.
(2021).
Effects of Continuous vs Discrete Frequency Scaling and Core Allocation on Energy Efficiency of Static Schedules for Moldable Tasks.
Parallel Processing Letters.
(2021).
Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS.
Proceedings of the 24th Workshop on Job Scheduling Strategies for Parallel Processing.
(2021).
Combining Design Space Exploration with Task Scheduling of Moldable Streaming Tasks on Reconfigurable Platforms.
Proceedings of the International Symposium on Applied Reconfigurable Computing (ARC).
(2021).
Analysing terrorist networks -- An entropy-driven method.
Expert Systems.
(2021).
Crown-scheduling of sets of parallelizable tasks for robustness and energy-elasticity on many-core systems with discrete dynamic voltage and frequency scaling.
Journal of Systems Architecture.
(2020).
Static Scheduling of Moldable Streaming Tasks With Task Fusion for Parallel Systems With DVFS.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
(2020).
Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes.
Proceedings of the 17th International Conference on High Performance Computing & Simulation (HPCS).
(2020).
Reducing Energy Consumption of HMAC Applications on Heterogeneous Platforms.
Proceedings of the 17th International Conference on High Performance Computing & Simulation (HPCS).
(2020).
Code generation for energy-efficient execution of dynamic streaming task graphs on parallel and heterogeneous platforms.
Concurrency and Computation: Practice and Experience.
(2020).
Adaptive Crown Scheduling for Streaming Tasks on Many-Core Systems with Discrete DVFS.
Euro-Par 2019: Parallel Processing Workshops.
(2020).
Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline.
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
(2020).
Robustness and Energy-elasticity of Crown Schedules for Sets of Parallelizable Tasks on Many-core Systems with DVFS.
Proceedings of the 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).
(2020).
Influence of Discretization of Frequencies and Processor Allocation on Static Scheduling of Parallelizable Tasks with Deadlines.
PARS-Mitteilungen.
(2020).
Generating Energy-Efficient Code for Parallel Applications Specified by Streaming Task Graphs with Dynamic Elements.
Proceedings of the 11th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM).
(2019).
Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling.
Proceedings of the 27th European Signal Processing Conference (EUSIPCO).
(2019).
Compute-Efficient Neural Network Architecture Optimization by a Genetic Algorithm.
Proceedings of the 8th International Conference on Artificial Neural Networks (ICANN).
(2019).
Bipartite Structures in Social Networks: Traditional versus Entropy-Driven Analyses.
Entropy.
(2019).
Weight Prediction on Missing Links in Social Networks -- a Cross-Entropy-Based Approach --.
Journal of Applied Logics.
Talks
Heuristic Scheduling of Streaming Applications for Energy Efficiency on Heterogeneous Multicores
Dec 13, 2023
Reversible Network Covert Channel by Payload Modulation in Streams of Decimal Sensor Values
Oct 13, 2023
Network Steganography Through Redundancy in Higher-Radix Floating-Point Representations
Aug 24, 2022
Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures
Aug 30, 2021
Temperature-Aware Energy-Optimal Scheduling of Moldable Streaming Tasks onto 2D-Mesh-Based Many-Core CPUs with DVFS
May 21, 2021
Energy-Efficient Execution of Streaming Task Graphs with Parallelizable Tasks on Multicore Platforms with Core Failures
Apr 23, 2021
Maximizing Profit in Energy-Efficient Moldable Task Execution with Deadline
Mar 12, 2020
Generating Energy-Efficient Code for Parallel Applications Specified by Streaming Task Graphs with Dynamic Elements
Feb 22, 2020
Influence of Incremental Constraints on Energy Consumption and Static Scheduling Time for Moldable Tasks with Deadline
Jan 20, 2020
Fault-Tolerant and Energy-Efficient Static Schedules for Multi-Variant Programs
Dec 13, 2019
Energy-efficient scheduling of stream processing applications with dynamic tasks
Oct 1, 2019
Adaptive crown scheduling for streaming tasks on many-core systems with discrete DVFS
Aug 27, 2019
Probabilistic Runtime Guarantees for Statically Scheduled Taskgraphs with Stochastic Task Runtimes
Jul 17, 2019
Reducing Energy Consumption of HMAC Applications on Heterogeneous Platforms
Jul 16, 2019
Influence of Discretization of Frequencies and Processor Allocation on Static Scheduling of Parallelizable Tasks with Deadlines
Mar 22, 2019
Posters
Event Attendances
- GI Sicherheit 2024, Worms, Germany
- HPCC 2023, Melbourne, Australia
- eScience 2023, Limassol, Cyprus
- ARES 2022, Vienna, Austria
- EICC 2022, Barcelona, Spain
- Euro-Par 2021, Lisbon, Portugal (online)
- ARC 2021, Rennes, France (online)
- IPDPS 2021, Portland, USA (online)
- DKFT 2021 (online)
- MBMV 2021 (online)
- HiPEAC 2021, Budapest, Hungary (online)
- PDP 2020, Västerås, Sweden (online)
- PPoPP 2020, San Diego, USA
- HiPEAC 2020, Bologna, Italy
- DKFT 2019, TU Dortmund, Germany
- 4th German-Russian Summer School 2019, htw saar, Saarbrücken, Germany
- ICANN 2019, Munich, Germany
- Euro-Par 2019, Göttingen, Germany
- HPCS 2019, Dublin, Ireland
- PUMPS+AI Summer School 2019, Barcelona, Spain
- 28th PARS Workshop 2019, TU Berlin, Germany
- Supercomputing Frontiers Europe 2019, Warsaw, Poland
- HiPEAC 2019, Valencia, Spain
- DKFT 2018, HTW Dresden, Germany
- UPMARC Day 2018, Uppsala Universitet, Sweden
Teaching
At FernUniversität in Hagen, I serve as a teaching assistant for courses on parallel computing, simulation, and computer engineering. Moreover, I take part in supervising bachelor and master theses on topics related to parallel computing.
As a philosophy student, I have worked as a teaching assistant for introductory courses on logic at Universität Hamburg and at Eberhard Karls Universität Tübingen.