About Me

[cite_start]I am a PhD student in the Department of Civil & Systems Engineering at Johns Hopkins University [cite: 7, 10][cite_start], advised by Prof. Lori Graham-Brady[cite: 38]. [cite_start]My research lies at the intersection of deep learning and computational solid mechanics[cite: 32]. [cite_start]I focus on developing generative AI models, such as denoising diffusion probabilistic models and neural operators, to predict full-field material stress responses and quantify uncertainties in multi-scale material design[cite: 32, 40].

[cite_start]Before starting my PhD, I worked as a Research Engineer at LTIMindtree in Bangalore, India, where I developed quantum annealing-based optimization tools and interpretable time series forecasting models[cite: 43, 45, 46]. [cite_start]I hold a Master of Technology in Civil Engineering from the Indian Institute of Science (IISc), Bengaluru [cite: 11, 12][cite_start], and a Bachelor of Technology in Civil Engineering from the National Institute of Technology (NIT), Andhra Pradesh[cite: 13, 14].

Research Interests

• [cite_start]Machine Learning for Mechanics: Generative AI (Diffusion Models, VAE, GAN), Neural Operators (PINN, DeepONet), and Graph Neural Networks (GNN)[cite: 32].
• [cite_start]Uncertainty Quantification: Gaussian Processes, Bayesian Neural Networks, and Active Learning for material discovery[cite: 32, 42].
• [cite_start]Computational Solid Mechanics: Multi-scale modeling, additive manufacturing materials, and finite element analysis[cite: 29, 37, 40].

News & Updates

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• [cite_start]May 2025: I will be joining Idaho National Laboratory as a Computational Scientist Intern, mentored by Dr. Som Dhulipala, working on ML-based solutions for additive manufacturing[cite: 34, 35, 36, 37].
• [cite_start]Mar 2025: I will be presenting our work on predicting material stress response using Neural Operators and Diffusion Models at SIAM CSE25 in Fort Worth, TX[cite: 68].
• [cite_start]Jan 2025: Honored to receive the SIAM CSE25 Travel Award and the Best Paper Award (Machine Learning in Mechanics) at the Engineering Mechanics Institute (EMI).
• [cite_start]Aug 2024: Served as a Graduate Teaching Assistant for Statics & Mechanics of Materials at JHU[cite: 73, 75].

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