teaching
Educational content and training modules I offer or am currently developing—focused on quantum computing, simulation, and applied AI in physical sciences.
🎓 Quantum Computing Lessons (Udemy, 2025)
I am currently developing a Quantum Computing Foundations course on Udemy, tailored for students and professionals transitioning into the quantum technology space. The course includes both theoretical foundations and hands-on implementation using Qiskit, PennyLane, and Strawberry Fields.
Modules
- Qubits, Superposition, and Entanglement
- Quantum Gates and Circuits
- Variational Quantum Algorithms (VQE, QAOA)
- Introduction to Photonic Quantum Computing
- Hands-on: Qiskit, PennyLane, and Strawberry Fields
- Quantum Machine Learning for Spectral Analysis
📢 Release planned for Summer 2025
👨🏽🏫 Sign up at: My Udemy Instructor Profile
📘 Courses I Can Teach
Based on my research and software expertise, I offer teaching support and course development in the following areas:
Quantum & Computational Sciences
- Quantum Computing (Intro + Advanced)
- Photonic Quantum Circuits and Simulators
- Quantum Machine Learning (QML)
- Density Functional Theory (DFT)/ Ab Initio Molecular Dynamcs (AIMD)
AI & Scientific Computing
- Deep Learning with TensorFlow / PyTorch
- Graph Neural Networks (GNNs) in Chemistry and Physics
- Physics-Informed Neural Networks (PINNs)
- Symbolic-Numeric Hybrid Modeling with SymPy & SciPy
Engineering Simulations
- Engineering Mathematics
- Fluid & Geomechanics (Hydraulic Fracturing)
- Computational Fluid Dynamics (OpenFOAM, ANSYS, COMSOL)
- Reservoir Simulation (CMG, KAPPA, PIPESIM)
- Discrete Element Method (LIGGGHTS, YADE)
Interested in collaboration or guest lecturing?
Reach out via LinkedIn or GitHub.