Indu Manickam

According to our database, Indu Manickam authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine Learning Based Resilience Testing of an Address Randomization Cyber Defense.

Ganapathy Mani, Marina Haliem, Bharat K. Bhargava, Indu Manickam, Kevin Kochpatcharin, Myeongsu Kim, Eric D. Vugrin, Weichao Wang, Chris Jenkins, Pelin Angin, Meng Yu

IEEE Trans. Dependable Secur. Comput., 2023

Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data.

Joseph L. Hart, Mamikon A. Gulian, Indu Manickam, Laura P. Swiler

CoRR, 2023

2022

Thermodynamically consistent physics-informed neural networks for hyperbolic systems.

Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr

J. Comput. Phys., 2022

Error-in-variables modelling for operator learning.

Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device.

Nathan Dunkelberger, Jennifer L. Sullivan, Joshua Bradley, Indu Manickam, Gautam Dasarathy, Richard G. Baraniuk, Marcia K. O'Malley

IEEE Trans. Haptics, 2021

2019

IdeoTrace: a framework for ideology tracing with a case study on the 2016 U.S. presidential election.

Indu Manickam, Andrew S. Lan, Gautam Dasarathy, Richard G. Baraniuk

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Conveying language through haptics: a multi-sensory approach.

Nathan Dunkelberger, Jennifer L. Sullivan, Joshua Bradley, Nickolas P. Walling, Indu Manickam, Gautam Dasarathy, Ali Israr, Frances W. Y. Lau, Keith Klumb, Brian Knott, Freddy Abnousi, Richard G. Baraniuk, Marcia K. O'Malley

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2017

Contextual multi-armed bandit algorithms for personalized learning action selection.

Indu Manickam, Andrew S. Lan, Richard G. Baraniuk

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017