Shuvro Chowdhury

Shuvro Chowdhury received his Bachelor of Science in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 2011. He got his Master of Science in Electrical and Computer Engineering from the same university in 2014. Currently, he is pursuing a PhD degree in the department of Electrical and Computer Engineering at Purdue University. His current research interest includes solving quantum many body problems with artificial neural network. His previous research was on analytical modeling of current in junctionless double gate MOSFETs. He also did some research in quantum computing.

Boltzmann Law: Physics to Computing (edX)

EdX

Purdue University,PurdueX

Boltzmann Law: Physics to Computing (edX)

Engineering Sci: Physics

Explore the fascinating connections between equilibrium statistical mechanics, stochastic neural networks, and quantum computing with 'Boltzmann Law: Physics to Computing'. This course offers a comprehensive look at how these seemingly disparate fields are linked through the concept of state-space dimensions defined by binary bits. Uncover the underlying principles that govern everything from the behavior of particles in thermal equilibrium to the functioning of advanced computational systems.

Mar 25th 2024

5-12 Weeks

Physics Computing Boltzmann

EdX

Purdue University,PurdueX

Introduction to Quantum Transport (edX)

Engineering Eng: Electronics

Dive into the world of quantum mechanics with 'Introduction to Quantum Transport' on edX. This comprehensive course explores the NEGF method for modeling nanoscale devices, delving into Schrödinger's equation, tight-binding models, bandstructure analysis, and applications in spintronics. Whether you're a student or a professional interested in semiconductor physics, this course provides a solid foundation in quantum transport theory.

Feb 12th 2024

5-12 Weeks

Physics Quantum Engineering

EdX

Purdue University,PurdueX

Fundamentals of Current Flow (edX)

Engineering Eng: Electronics

Dive deep into the world of electron movement in solids with 'Fundamentals of Current Flow'. This course provides a fresh perspective on current flow mechanisms, distinct from traditional teachings. Explore ballistic transport, diffusive transport, and their implications for nanoelectronic devices. Gain a unified understanding that's essential for anyone interested in electronics at the nano-scale.

Jan 8th 2024

5-12 Weeks

Nanoelectronics Conductivity Density

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