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Prof. Dr.Ramin YahyapourSince October 2011 Professor Dr. Ramin Yahyapour is managing director of GWDG, a joint compute and IT competence center of the university and the Max Planck Society. At the same time, he became full professor for Practical Computer Science at the Georg-August-Universität Göttingen. Before, he was Professor at the Technische Universität Dortmund, director of the IT & Media Center, and CIO of the university.
Professor Yahyapour holds a doctoral degree in Electrical Engineering. His research focus is on efficient resource management and its application on service-oriented infrastructures, clouds, and data management.
Professor Yahyapour was and is active in several national and international research projects. He was e.g. scientific coordinator of the FP7 integrated project SLA@SOI or executive member of the CoreGRID Network of Excellence. Professor Yahyapour serves regularly as reviewer for funding agencies and consultant for IT organizations. He is organizer and program committee member of several conferences and workshops as well as reviewer for multiple journals.
| Topic | Professor | Type |
|---|---|---|
| Metadata quality dashboard for the Deutsche Digitale Bibliothek | Prof. Ramin Yahyapour | BSc, MSc |
| SSO Keycloak integration and self-services for a community portal | Prof. Ramin Yahyapour | BSc, MSc |
| Knowledge Graphs and NLP techniques | Prof. Ramin Yahyapour | BSc, MSc |
| Implementation of an API specification to enhance the functionality of an Text- and Datamining system | Prof. Ramin Yahyapour | BSc, MSc |
| Token Management for an API to utilise HPC resources in generic workflows | Prof. Ramin Yahyapour | BSc, MSc |
| Trustworthy AI: Continuous Governance for LLM Services | Prof. Julian Kunkel | BSc, MSc |
| Exploring Quantum Computing Use Cases | Prof. Julian Kunkel | BSc, MSc |
| AI-assisted language learning | Prof. Julian Kunkel | BSc, MSc |
| AI-assisted programming learning | Prof. Julian Kunkel | BSc, MSc |
| Performance Evaluation of LLM Inference Engines | Prof. Julian Kunkel | BSc, MSc |
| Operating Kubernetes with AI Engineers | Prof. Julian Kunkel | BSc, MSc |
| Enabling Automatic Context Switching for Personal AI Assistants | Prof. Julian Kunkel | BSc, MSc |
| Comparison of Distributed Computing Frameworks | Prof. Julian Kunkel | BSc, MSc |
| Speculative KV Caches for Efficient LLM Inference | Prof. Julian Kunkel | BSc, MSc |
| Adaptive Attention Budgeting for Efficient Large Language Model Inference | Prof. Julian Kunkel | BSc, MSc |
| Automatic Prompt Classification for Intelligent Language Model Routing | Prof. Julian Kunkel | BSc, MSc |
| Graph Transformer Architectures for Workflow Scheduling: Beyond Standard GNNs | Prof. Julian Kunkel | BSc, MSc |
| Carbon-Aware Multi-Objective Scheduling for HPC Workflows Using Reinforcement Learning | Prof. Julian Kunkel | BSc, MSc |
| Transfer Learning Evaluation of GNN-RL Schedulers Across Workflow Families | Prof. Julian Kunkel | BSc, MSc |
| Online Adaptive Scheduling with Continual Reinforcement Learning for Shifting HPC Workloads | Prof. Julian Kunkel | BSc, MSc |
| Knowledge Graph Modeling of HPC Resources and Workflow Dependencies | Prof. Julian Kunkel | BSc, MSc |
| Monitoring and Controlling Irregular Behavior in Agentic AI Systems with Access to Digital and Physical Resources | Prof. Julian Kunkel | BSc, MSc |
| Environmental Sustainability Labeling for AI Services Based on Energy, Runtime, and Resource Usage | Prof. Julian Kunkel | BSc, MSc |
| Meta Machine Intelligence for Adaptive Error Detection in High-Performance Computing Systems | Prof. Julian Kunkel | BSc, MSc |
| Lightweight Edge AI for Detecting Irregular Behavior in Device and Sensor Logs | Prof. Julian Kunkel | BSc, MSc |
| Benchmarking AI Models for Resource-Aware System Monitoring | Prof. Julian Kunkel | BSc, MSc |
| Development of new applications for the SpiNNaker-2 neuromorphic computing platform | Prof. Julian Kunkel | BSc, MSc |
| Federated Learning from Private LLM-Agent Trajectories for Adaptive Agent Control | Prof. Julian Kunkel | BSc, MSc |
| FedToolAgent: Privacy-Preserving Federated Learning of Tool-Use Policies for LLM Agents | Prof. Julian Kunkel | BSc, MSc |
| FedCollab: Federated Optimization of Collaboration Protocols in LLM-Based Multi-Agent Systems | Prof. Julian Kunkel | BSc, MSc |
| FedAgenticRAG: Privacy-Preserving Multi-Agent Reasoning over Distributed Knowledge Bases | Prof. Julian Kunkel | BSc, MSc |
| FedGuardAgent: Federated Safety Policy Learning for Autonomous LLM Agents | Prof. Julian Kunkel | BSc, MSc |
| FedMARL-Agent: Federated Multi-Agent Reinforcement Learning for Privacy-Preserving LLM Agent Coordination | Prof. Julian Kunkel | BSc, MSc |
| Containerized Edge AI: Deploying AI Services with Lightweight Kubernetes | Prof. Julian Kunkel | BSc, MSc |
| Deployment and Evaluation of Lightweight AI Models on Edge and Embedded Systems | Prof. Julian Kunkel | BSc, MSc |
| Implementation of a precice-Adapter for the particle transport simulator LIGGGHTS | Prof. Julian Kunkel | BSc, MSc |
| Framework for automated ML and empirical model generation | Prof. Julian Kunkel | BSc, MSc |
| Checkpoint Integrity Verification in Distributed ML Training | Prof. Julian Kunkel | BSc, MSc |
| eBPF-Based Runtime Fault Injection Framework for HPC Workloads | Prof. Julian Kunkel | BSc, MSc |
| LLM Poisoning Detection via Training Data Attribution | Prof. Julian Kunkel | BSc, MSc |
| Development of Text-to-SQL/XML Conversational AI for Planarian Research Database | Prof. Julian Kunkel | BSc, MSc |