∇COMING SOON
MATH & OPTIMIZATION
Mathematical foundations and computational optimization for modeling, inference, and decision-making.
Linear AlgebraProbabilityOptimization
Lecture NoteEssayDerivation
LECTURE NOTES
Technical writing,
built to grow.
Technical writings, derivations, worked examples, computational notes, tutorials, and essays on mathematics, control, learning, power and energy systems, and scientific computing.
Lecture NoteEssayDerivationWorked ExampleCode NoteTutorial
KNOWLEDGE LIBRARY
Coming soon.
The structure is live now so the library can grow across teaching, research, and future interests without being constrained to a semester syllabus.
SUBJECTSLinear AlgebraProbabilityOptimizationSystem ModelingEstimationLinear ControlNonlinear ControlOptimal ControlMachine LearningReinforcement LearningScientific Machine LearningPower SystemsPower Flow & OPFDistribution SystemsDER & Building-Grid SystemsParallel ComputingHigh-Performance Computing (HPC)Optimized / High-Performance CodeQuantum Computing
x̂COMING SOON
MODELING & ESTIMATION
Dynamic models, identification, state estimation, Bayesian inference, and data-model reconciliation.
System ModelingEstimation
Lecture NoteEssayDerivation
KCOMING SOON
CONTROL
Feedback, nonlinear dynamics, optimal decision-making, and control architectures for cyber-physical systems.
Linear ControlNonlinear ControlOptimal Control
Lecture NoteEssayDerivation
θCOMING SOON
ML & SciML
Learning systems spanning statistical ML, reinforcement learning, and physics-informed scientific machine learning.
Machine LearningReinforcement LearningScientific Machine Learning
Lecture NoteEssayDerivation
3ΦCOMING SOON
POWER & ENERGY SYSTEMS
Analysis, optimization, simulation, and control of electric power and grid-edge energy systems.
Power SystemsPower Flow & OPFDistribution SystemsDER & Building-Grid Systems
Lecture NoteEssayDerivation
⌘COMING SOON
COMPUTING
Computational methods and architectures for scaling scientific and engineering software.
Parallel ComputingHigh-Performance Computing (HPC)Optimized / High-Performance CodeQuantum Computing
Lecture NoteEssayDerivation
FIRST NOTES IN PREPARATION
One library. Many ways to explain a system.
Future entries can be lecture notes, essays, derivations, worked examples, code notes, or tutorials—and can extend beyond the current course subjects.
CONNECT
