Aasish Kumar Sharma

Aasish is a scientific employee under Julian Kunkel and is interested in performance optimization, big data analysis, data science and computer vision using advanced technologies such as parallel and high-performance computing, as well as, quantum computing.
ResearchGate

• Optimization
• High-Performance Computing
• Data Science

• Performance Analysis of Convolutional Neural Network Applying Quantum Annealing, Aasish Kumar Sharma (Master's Thesis), Advisors: Sanjeeb Prasad Pandey, 2020-12-30, BibTeX URL

• Poster: Optimizing Workload in Heterogeneous HPC Workflows with Constraints (Aasish Kumar Sharma, Christian Boehme, Patrick Gelß, Julian Kunkel), ISC-HPC, Hamburg,Germany, 2025-06-11 BibTeX PDF
• 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 Kunkel), In ArXiv (1), pp. 12 \myDOI{g/abs/2505.12184}, 2025-05-18 BibTeX URL DOI
• A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System (Aasish Kumar Sharma, Julian Kunkel), In ArXiv (1), pp. 12 \myDOI{g/abs/2505.11244}, 2025-05-16 BibTeX URL DOI

• State-of-the-art artificial intelligence techniques in healthcare publications, and their correlation with disease and data: A data driven analysis (Sadegh Keshtkar, Dagmar Krefting, Anne-Christin Hauschild, Zully Maritza Ritter, Narges Lux, Aasish Kumar Sharma, Pavan Kumar Siligam, Julian Kunkel), In Journal of Artificial Intelligence and Robotics (1) \myDOI{10.52768/JArtifIntellRobot/1014}, 2024-11-26 BibTeX URL DOI
• Poster: Optimizing Heterogeneous HPC Workflows With Data Transfer Time (Aasish Kumar Sharma, Christian Boehme, Patrick Gelß, Julian Kunkel), NHR Conference 2024, Darmstadt, Darmstadt, Germany, 2024-09-09 BibTeX URL PDF
• HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads (Michael Bidollahkhani, Aasish Kumar Sharma, Julian Kunkel), IEEE Computers, Software, and Applications Conference, pp. 1-8, IEEE, IEEE, COMPSAC 2024, 2024-07 BibTeX