Scholar
Nikhil Muralidhar
Google Scholar ID: aFXxNfYAAAAJ
Stevens Institute of Technology
Data Mining
Machine Learning
Physics Informed Machine Learning
Time Series Forecasting
Anomaly Detection
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Citations
832
H-index
15
i10-index
16
Publications
20
Co-authors
23
list available
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Publications
10 items
LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks
2026
Cited
0
TRIE: An Evaluation Framework for Stochastic PDE Surrogates
2026
Cited
0
Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data
2026
Cited
0
Finetune-Informed Pretraining Boosts Downstream Performance
2026
Cited
0
DiSC-AMC: Token- and Parameter-Efficient Discretized Statistics In-Context Automatic Modulation Classification
2025
Cited
0
Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $ ightarrow$ Evidence Reasoning
2025
Cited
0
Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs
2025
Cited
0
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
2025
Cited
0
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Resume (English only)
Co-authors
23 total
Naren Ramakrishnan
Thomas L. Phillips Professor, Virginia Tech
Anuj Karpatne
Virginia Tech
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Anika Tabassum
Oak Ridge National Laboratory, Virginia Tech
Co-author 8