HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads. - Michael Bidollahkhani; Aasish Kumar Sharma; Julian M. Kunkel (COMPSAC, 2024)

A Comparison of HPC based Quantum Computing Simulators using Quantum Volume. - Christian Boehme; Lourens van Niekerk; Dhiraj Kumar; Aasish Kumar Sharma; Tino Meisel; Martín Leandro Paleico (INFORMATIK, 2024)

AI Work Quantization Model: Closed-System AI Computational Effort Metric. - Aasish Kumar Sharma; Michael Bidollahkhani; Julian Martin Kunkel (CoRR, 2025)

A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System. - Aasish Kumar Sharma; Julian M. Kunkel (CoRR, 2025)

Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling. - Aasish Kumar Sharma; Christian Boehme; Patrick Gelß; Ramin Yahyapour; Julian M. Kunkel (CoRR, 2025)

Ethical AI: Towards Defining a Collective Evaluation Framework. - Aasish Kumar Sharma; Dimitar Kyosev; Julian M. Kunkel (CoRR, 2025)

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming. - Aasish Kumar Sharma; Sanjeeb Prashad Pandey; Julian M. Kunkel (CoRR, 2025)

GrapheonRL: 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 (CoRR, 2025)