Curriculum Vitae

Background: "Comprehensive exposure to areas of Computer Science, Mathematics and Physics. Research projects include Minimal Group Embeddings, and Wildfire Forecasting using dynamical models and deep learning methods."

Background: "Introductory Physics and Mathematics classes. Research in Surface Plasmon Polaritons, experimental development of thin film devices and theoretical calculation of electric fields inside these finite devices."

Modified Fourier Neural Operators for Direct Wildfire Spread Prediction: A FourCastNet Adaptation: "This research utilizes the FourCastNet architecture for direct wildfire propagation modeling. It integrates critical fire drivers—including fuel moisture, vegetation density (LANDFIRE), and topography—into the model's input channels. By training the system on historical fire perimeters, it learns to predict the fire front's evolution as a discrete state-space variable. This approach leverages FourCastNet's speed, generating subseasonal fire-spread ensembles dramatically faster than traditional physics models."

Hybrid Data-Driven and Dynamical Forecasting of the South Asian Monsoon Intraseasonal Oscillation: "Advancing Monsoon Forecasting through Data-Driven Oscillatory Modes Current dynamical models often struggle to predict the active and break phases of the South Asian monsoon, which are driven by northward-propagating rainfall anomalies known as MISOs. This research introduces Ensemble Oscillation Correction (EnOC) to overcome these limitations. By leveraging the near-regularity of climate oscillations, this methodology refines traditional physics-based forecasts with data-driven insights. The result is a more accurate tool for agricultural and hydrological planning, providing reliable rainfall predictions three to four weeks in advance—a timeframe previously considered unreliable by standard meteorological models."

Minimal Group Embeddings "This project focuses on the classification of small finite groups and the determination of their minimal embedding degree. By utilizing the Sylow Theorems, I analyzed the prime power subgroups for each order to verify group structures and non-simplicity. Building upon Cayley’s Theorem, which guarantees an embedding into \(S_{|G|}\), I calculated the minimum \(n\) such that \(G\hookrightarrow S_{n}\), often finding degrees significantly smaller than the group's order."

Multiscale Theoretical Modeling of Surface Plasmon Polaritons (SPPs): From Fundamentals to Integrated Photonic Applications "Theoretical investigation of SPP dispersion relations by applying Bloch’s Theorem to the fundamental Maxwell’s equations. By treating the multilayer as a 1D plasmonic crystal, this model identifies how periodic modulation creates unique band structures and forbidden gaps. The findings provide a roadmap for tailoring the optical response of superllatice metal-insulator-metal devices, bridging the gap between analytical theory and functional nanophotonic device design."

Excitation of “forbidden” guided-wave plasmon polariton modes via direct reflectance using a low refractive index polymer coupling layer. "Experimental investigation of plasmonic modes in metal-insulator-metal thin film structures using a low refractive index polymer coupling layer. By employing angle-resolved reflectance spectroscopy, we successfully excited and characterized "forbidden" guided-wave plasmon polariton modes that are typically inaccessible through conventional methods. The study reveals how the polymer layer modifies the coupling conditions, enabling direct excitation of these modes. Our findings provide new insights into light-matter interactions in complex thin film systems and open up avenues for advanced photonic device applications."

Lead small group mentoring sessions for first-year students enrolled in a required University Studies at Portland State University, focusing on academic success strategies, time management, and campus resources.

Led weekly recitation sections, graded assignments, and held office hours for 80+ students.