About me

I am a Research Assistant in the department of Electrical and Computer Engineering, University of Houston, under the guidance of Dr. Jiefu Chen within the UH MODAL LAB. My doctoral research is dedicated to designing physics-guided machine learning/deep learning architectures to advance electromagnetic forward/inverse modeling and geophysical multi-physics joint imaging. Specifically, my work involves the customization of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and the incorporation of deep perceptual losses to enhance image reconstruction with higher resolutions.

In addition to my academic pursuits, I have had the chance of contributing to industry through internships. During the summers of 2022 and 2021, I served as an intern and returning intern at PROS, where my focus revolved around the utilization of deep learning techniques, including graph neural networks (GNNs), Long Short-Term Memory (LSTM) networks, and convolutional neural networks (CNNs), to address challenges related to demand forecasting and the enhancement of recommender systems. My efforts consistently yielded substantial improvements in prediction accuracy.

Research Interests: Physics-guided deep learning for multi-physics joint imaging and electromagnetic simulations, Deep Learning, Machine Learning, Computer Vision, Data Science, Recommender System, Generative AI, Large Language Models (LLMs), Diffusion Models.

Recent Activities

• 08/31/2023: Yanyan was invited by IEEE J-MMCT to give a talk “Physics-guided Deep Learning Methods for Time Domain EM Simulations” online.

• 02/27/2023: Yanyan successfully defended her doctoral thesis proposal!

• 01/01/2023: Yanyan published her fifth manuscript on Geophysics.

• 07/25/2022: Yanyan won the yearly intern Hackthon with her team reBAES at PROS as a returning intern in Products department ($ 2,000).

• 07/26/2021: Yanyan published her third manuscript on IEEE Transactions on Antennas and Propagation.

• 04/09/2021: Yanyan received her offer Intern - Science in the Science department from PROS.

• 04/27/2020: Yanyan published her first manuscript on IEEE Transactions on Geoscience and Remote Sensing.

• 01/27/2020: Yanyan was invited by Schlumberger to give a talk “Physics-guided machine learning/deep learning for forward & inverse modeling”, at Katy Drilling Software Center (KDSC) at Schlumberger, Houston