Aasish Kumar Sharma
Biography
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
Research Interests
- Optimization
- High-Performance Computing
- Data Science
Teaching
Open Thesis Topics
Workflow Optimization in Data Management PlanningApply
1) Theory: To explore and present "Efficient Workflow" in "Data Management Planning" 2) Practical: To prepare a model on one of a use cases in Data Management Planning showing an optimize workflow.
Theoretical Analysis of Mapping Problem Using Quantum ApproachApply
1) Theory: To explore and present how HPC resource mapping problem can be solved using Quantum Approach 2) Practical: To prepare a model on one of a use cases in HPC workflow showing an improvement techniques.
Theoretical Analysis of Scheduling Problem Using Quantum ApproachApply
1) Theory: To explore and present how HPC resource mapping problem can be solved using Quantum Approach 2) Practical: To prepare a model on one of a use cases in HPC workflow showing an improvement techniques.
Practical Analysis of Mapping Problem Using AI/ML ApproachApply
1) Theory: To explore and present how HPC resource mapping problem can be solved using AI/ML Approach 2) Practical: To prepare a model on one of a use cases in HPC workflow showing an improvement techniques.
Practical Analysis of Scheduling Problem Using AI/ML ApproachApply
1) Theory: To explore and present how HPC resource mapping problem can be solved using AI/ML Approach 2) Practical: To prepare a model on one of a use cases in HPC workflow showing an improvement techniques.
Theses
- Performance Analysis of Convolutional Neural Network Applying Quantum Annealing, Aasish Kumar Sharma (Master's Thesis), Advisors: Sanjeeb Prasad Pandey, 2020-12-30, BibTeX URL
All publications as BibTex