University of Connecticut - Storrs, CT
May 2025
Advanced semiconductor device physics, fabrication processes, and characterization techniques for microelectronic and optoelectronic devices.
Design and analysis of LEDs, laser diodes, photodetectors, and solar cells. Quantum mechanics applications in device operation.
Comprehensive study of volatile and non-volatile memory technologies including DRAM, SRAM, Flash, and emerging memory devices.
Digital and analog VLSI circuit design, layout techniques, and design for testability in modern semiconductor processes.
Power semiconductor devices, converter topologies, control techniques, and applications in renewable energy systems.
Comprehensive study of optoelectronic device physics, including photon-electron interactions, waveguide theory, and integration of optical and electronic components for advanced photonic systems.
Fundamentals of nanoscale science and engineering, including quantum effects, surface phenomena, and characterization techniques.
Advanced nanofabrication techniques, nanoelectronics, and applications in sensors, energy storage, and biomedical devices.
Atomic layer deposition (ALD) and etching (ALE) processes for precise thin film growth and material engineering at the atomic scale.
Advanced mathematical methods including complex analysis, special functions, and Green's functions for solving physics problems.
Classical electromagnetic theory, Maxwell's equations, wave propagation, and radiation from accelerated charges.
Wave propagation in various media, antenna theory, scattering, and applications in communication systems.
Advanced mathematical techniques for engineering applications including partial differential equations and numerical methods.
Deep learning architectures, training algorithms, optimization techniques, and applications in pattern recognition.
Probabilistic approaches to machine learning, Bayesian inference, and uncertainty quantification in predictive models.
Quantum algorithms, quantum gates, error correction, and applications of quantum computing in optimization and cryptography.
Numerical methods for solving physics problems using Python, including simulation techniques and data analysis.
Internet of Things system design, sensor networks, communication protocols, and edge computing architectures.
Advanced algorithm design and analysis, computational complexity theory, NP-completeness, approximation algorithms, and their applications in machine learning and optimization problems.
Investigated vertical GaN power devices for high-voltage applications. Characterized device performance, analyzed breakdown mechanisms, and optimized fabrication processes for improved reliability.
Conducted comprehensive reliability analysis of SiC MOSFETs under extreme operating conditions. Developed testing protocols for gate oxide integrity and threshold voltage stability.
Investigated memristive devices for brain-inspired computing architectures. Developed and characterized crossbar arrays for neural network acceleration, achieving ultra-low power consumption and high-density synaptic connectivity for AI edge applications.
Supported undergraduate and graduate students in semiconductor device characterization, cleanroom processes, and optoelectronics experiments. Developed new lab modules for advanced device testing.
View the official Master of Science in Electrical Engineering diploma from University of Connecticut.
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