Abhijit Chakraborty

WORK HISTORY

EDUCATION

SKILLS

ABOUT ABHIJIT CHAKRABORTY

I am interested in developing decision making capability based on data driven and model based techniques.My expertise based on previous work experiences are below: • anomaly detection: I have applied varieties of machine learning techniques such as RNN, discriminate analysis to identify anomaly for numerous applications such as in additive and advanced manufacturing, security application on detection of hardware Trojan.• Modeling & Simulation: Developed physics-based mathematical model for the F/A-18 aircraft using first principles approach. The model captures the out-of-control falling leaf phenomenon of the F/A-18. The models are developed using Matlab and Simulink.• Control Design & Analysis: Applied varieties of classical / modern (robust) control design techniques to develop flight control laws. The controllers have also been certified by using extensive knowledge of robust control theory and Integral Quadratic Constraints. • Optimization: Adapted convex / quasi-convex and sums-of-square (SOS) optimization techniques in analyzing flight control laws. Formulated efficient and less computationally expensive optimization algorithms for estimating stability metrics of flight control law. Extensive exposure to use Linear Matrix Inequalities (LMI) toolbox in Matlab. • Nonlinear Analysis with Actuator Saturation: Developed Validation & Verification (V&V) tools to estimate stability margin and performance metrics of nonlinear flight control systems with actuator saturation. The tools have been delivered to NASA to enhance V&V methods for flight control law.Specialties: 0. Modeling & Simulation of Dynamical Systems ( Aircraft & Automotive Application) 1. Model Based Control ( Classical & Advanced Robust Control)2. Machine learning techniques2. Optimization 3. Validation & Verification (Flight Control Law)4. System Identification6. Signal Processing