A5076925582- Model-Driven Software Engineering Techniques
- Manufacturing Process and Optimization
- Systems Engineering Methodologies and Applications
- Gaussian Processes and Bayesian Inference
- Smart Grid Security and Resilience
- Fuzzy Logic and Control Systems
- AI-based Problem Solving and Planning
- Technology Assessment and Management
- Evolutionary Algorithms and Applications
- Smart Grid Energy Management
- Plasma and Flow Control in Aerodynamics
- Software System Performance and Reliability
- Fluid Dynamics and Turbulent Flows
- Advanced Aircraft Design and Technologies
- Advanced Multi-Objective Optimization Algorithms
- Aerodynamics and Fluid Dynamics Research
Illinois Institute of Technology
2024
Georgia Institute of Technology
2016-2019
The design of complex aerospace systems requires a broad multidisciplinary knowledge base and an iterative approach to accommodate changes effectively. Engineering is commonly represented through engineering analyses descriptive models with underlying semantics. While guidelines from methodologies exist guide the development system models, creating model scratch every new application/system impractical. In this context, research demonstrates how physics-based analysis optimization tool,...
The design of complex aerospace systems requires a broad multidisciplinary knowledge base and an iterative approach to accommodate changes effectively. Engineering is commonly represented through engineering analyses descriptive models with underlying semantics. While guidelines from methodologies exist guide the development system models, creating model scratch every new application/system research into more adaptable reusable modeling frameworks. In this context, demonstrates how...
The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative processes, guided by formal specifications, strive refine initially vague characteristics through multiple stages. Despite these efforts, the integration diverse disciplinary knowledge into system models often remains incomplete. This study tackles challenge incomplete in MBSE introducing a graph-based machine learning approach uncover address missing links. focuses...
During the initial stages of design, it is critical to conduct design space exploration studies and evaluate solutions against given criteria. These criteria correspond goals that current needs achieve. When there high dimensionality, becomes very large which hard comprehensively. Hence, instead searching entire space, multiple clusters are obtained based on performance objectives. By only exploring subsets computational cost diminished, making faster. As a use case, conceptual turbofan...
In the aerospace industry, there is a need for development of methodology that has cognitive ability in design process order to make more autonomous. Hence, this study, Rule-Based System (RBS) developed commercial transport aircraft conceptual which driven by requirements. An important part these requirements specifies constraints on performance aircraft. For are translated into using RBS. The goal system produce feasible solution space then used pick best initial configuration This approach...