Avimanyu Sahoo
Computer Science · Purdue University West Lafayette
Publications
89
Citations
1,528
Est. group size
—
Recurring co-author estimate
Active years
14
Publishing since 2013
Avimanyu Sahoo works on control systems and machine learning, focusing on adaptive and data-driven control for robots and nonlinear systems, as well as neural network methods for tasks like battery health prediction, graph learning, and signal processing. The work often combines theoretical system control techniques (like adaptive dynamic programming) with modern deep learning tools (like physics-informed neural networks and graph neural networks) applied to engineering problems such as robotic manipulators and lithium-ion batteries.
Publication output was relatively steady but modest through the mid-2010s to early 2020s, then increased sharply starting in 2024, suggesting a recent growth in research activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- New Programs in Mechatronics and Robotics: Curriculum Development, Status, and Direction for Engineering Technology
2026
- Resource-Efficient Distributed Quantum Learning over Wireless Networks with Qubit Reuse
2026
- Metarep: improving meta-learning accuracy by learning episodic representation
International Journal of Machine Learning and Cybernetics · 2026
- Corrections to “Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems”
IEEE Transactions on Industrial Informatics · 2026
- Chemistry-Agnostic Physics Informed Neural Network Surrogate for Lithium-ion Cells with Online Continual Learning
SSRN Electronic Journal · 2026
- Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
arXiv (Cornell University) · 2026
- Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
arXiv (Cornell University) · 2026
- Maximizing Unlabeled Data Utility with Improved Representation Learning and Pseudo Labeling
IEEE Open Journal of the Computer Society · 2026
- DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals
IEEE Communications Letters · 2025
- Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems
IEEE Transactions on Industrial Informatics · 2025
- Federated Split Learning for Human Activity Recognition with Differential Privacy
2025
- DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals
arXiv (Cornell University) · 2025
- BOARD # 286: NSF REU: Multidisciplinary Collaborative Undergraduate Research Experience: Impacts on Engineering and Technology
2025
- A Novel Online System Identification Using Chebyshev Polynomial Basis of the Second Kind
2025
- A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics
arXiv (Cornell University) · 2025
- arXiv (Cornell University)×7
- IEEE Transactions on Neural Networks and Learning Systems×2
- Neural Networks×2
- IEEE Transactions on Industrial Informatics×2
- 2020 ASEE Virtual Annual Conference Content Access Proceedings×2
- S M Nahid Mahmud
Computer Science · Purdue University West Lafayette
- Fang Wang
Engineering · Purdue University West Lafayette
- C. L. Philip Chen
Engineering · Purdue University West Lafayette
- Alireza Safa
Engineering · The Ohio State University
- Stanisław H. Żak
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile