| 2026 | COMPSAC | Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems. | Aasish Kumar Sharma, Julian M. Kunkel |
| 2026 | COMPSAC | Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review. | Aasish Kumar Sharma, Dimitar Koysev, Christopher Anich, Roshni Kumari Ojha, Julian M. Kunkel |
| 2026 | COMPSAC | DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum. | Aasish Kumar Sharma, Felix Stein, Mirac Aydin, Michael Bidollahkhani, Sachin P. Nanavati, Mohsen Seyedkazemi Ardebili, Giorgi Mamulashvili, Mojtaba Akbari, Jonathan Decker, Zoya Masih, Julian M. Kunkel |
| 2025 | COMPSAC | Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling. | Aasish Kumar Sharma, Christian Boehme, Patrick Gel, Ramin Yahyapour, Julian M. Kunkel |
| 2025 | COMPSAC | Grapheon RL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems. | Aasish Kumar Sharma, Julian M. Kunkel |
| 2025 | COMPSAC | Ethical AI: Towards Defining a Collective Evaluation Framework. | Aasish Kumar Sharma, Dimitar Kyosev, Julian M. Kunkel |
| 2025 | COMPSAC | Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming. | Aasish Kumar Sharma, Sanjeeb Prashad Pandey, Julian Martin Kunkel |
| 2024 | COMPSAC | HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads. | Michael Bidollahkhani, Aasish Kumar Sharma, Julian M. Kunkel |
| 2024 | GI | A Comparison of HPC based Quantum Computing Simulators using Quantum Volume. | Christian Boehme, Lourens van Niekerk, Dhiraj Kumar, Aasish Kumar Sharma, Tino Meisel, Martn Leandro Paleico |