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 & Impact
All-time
Citations
832
H-index
15
i10-index
16
Publications
20
Co-authors
23
list available
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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Co-authors
10 total
Naren Ramakrishnan
Thomas L. Phillips Professor, Virginia Tech
Anuj Karpatne
Virginia Tech
Anika Tabassum
Oak Ridge National Laboratory, Virginia Tech
Nathan Self
Research Associate, Discovery Analytics Center, Virginia Tech
Manish Marwah
HP Labs
B. Aditya Prakash
Associate Professor, Georgia Institute of Technology
Patrick Butler
Virginia Tech
Huzefa Rangwala
Professor of Computer Science, George Mason/ ML Scientist, Amazon
