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transient-analysis

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The Project involves 3 typical convex optimization problems in control and the SDP (Semi-definite Programming) form or in other words the LMI (Linear Matrix Inequalities) form of each problem is achieved analytically and then the SDP optimization problems are solved in MATLAB using MATLAB CVX toolbox.

  • Updated Nov 18, 2021
  • MATLAB

Official implementation of STAR-PINN: a Physics-Informed Neural Network (PINN) for solving the 2D time-domain magnetic diffusion (Maxwell) equation in nonlinear materials.

  • Updated May 11, 2026
  • Jupyter Notebook

Design, simulation(LTspice), and automated Python characterization of a Two-Stage Miller-Compensated CMOS Op-Amp in TSMC 0.18µm. Achieved 71 dB Gain, 52.1 MHz GBW, 63.3° Phase Margin, and 53.7 V/µs Slew Rate with deep-submicron short-channel tuning.

  • Updated Aug 17, 2026
  • Python

Analytical design and SPICE circuit simulation of a 10 MHz harmonic LC Colpitts oscillator using an RF N-channel JFET (BF862/BF861A) in common-drain configuration. Includes two-port Y-parameter network calculations, tank synthesis, startup transient analysis, and Open Hardware CERN-OHL-P v2 documentation.

  • Updated Aug 23, 2026

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