Aniruddha Rajendra Rao

Hitachi Global Storage Technologies (United States) — United States

Computer Science · Physical Sciences

11h-index367citations30works5.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Neural Networks and Applications(6), Time Series Analysis and Forecasting(5), Machine Fault Diagnosis Techniques(4), Anomaly Detection Techniques and Applications(3), Gaussian Processes and Bayesian Inference(3)

Publications30 total

Probabilistic Deep Learning Model for Time Series Analysis
2025
Time Series Anomaly Detection Using Signal Processing and Deep Learning
Applied Sciences·2025· 7 citedOpen Access
Predictive Analysis for Optimizing Port Operations
Applied Sciences·2025· 11 citedOpen Access
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
Applied Sciences·2024· 15 citedOpen Access
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
arXiv (Cornell University)·2024Open Access
Predictive Analysis for Optimizing Port Operations
arXiv (Cornell University)·2024· 1 citedOpen Access
Optimal Load Shedding for Public Safety Power Shutoffs
2023· 1 cited
Optimal Load Shedding for Public Safety Power Shutoffs
arXiv (Cornell University)·2023Open Access
Modern non-linear function-on-function regression
Statistics and Computing·2023· 17 citedOpen Access
An ensemble of convolution-based methods for fault detection using vibration signals
2023· 20 cited
An ensemble of convolution-based methods for fault detection using vibration signals
arXiv (Cornell University)·2023Open Access
Nonlinear Functional Modeling Using Neural Networks
Journal of Computational and Graphical Statistics·2023· 35 citedOpen Access
A Functional approach for Two Way Dimension Reduction in Time Series
arXiv (Cornell University)·2023Open Access
Functional approach for Two Way Dimension Reduction in Time Series
2022 IEEE International Conference on Big Data (Big Data)·2022· 11 cited
Enabling Product Circularity Through Big Data Analytics and Digitalization
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)·2022· 7 cited
Modern Non-Linear Function-on-Function Regression
arXiv (Cornell University)·2021· 2 citedOpen Access
Non-linear Functional Modeling using Neural Networks
arXiv (Cornell University)·2021· 6 citedOpen Access
A Non-linear Function-on-Function Model for Regression with Time Series Data
2020· 18 cited
Modern multiple imputation with functional data
Stat·2020Open Access
A Non-linear Function-on-Function Model for Regression with Time Series Data
arXiv (Cornell University)·2020· 1 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Chetan Gupta(15), Matthew Reimherr(5), Chandrasekar Venkatraman(5), Haiyan Wang(4), Qiyao Wang(3), Hamed Khorasgani(3), Shayan Borhani(2), Sevda Deldari(2), Douglas D. Frey(2), Xudong Ge(2), Chandrasekhar Gurramkonda(2), Yordan Kostov(2), Manohar Pilli(2), Govind Rao(2), Leah Tolosa(2), Michael Tolosa(2), Krishna M. Vattem(2), David W. Wood(2), J. V. Bonta(2), Xian Yeow Lee(2)