Avimanyu Sahoo

56 papers B 4C 10Journal 22Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corrections to "Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems". IEEE Trans. Ind. Informatics Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2026	J	`jnl`	Metarep: improving meta-learning accuracy by learning episodic representation. Int. J. Mach. Learn. Cybern. Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2026	—	`conf`	Resource-Efficient Distributed Quantum Learning over Wireless Networks with Qubit Reuse. CCNC Shaba Shaon, Atit Pokharel, Alexander Coutras, Avimanyu Sahoo, Dinh C. Nguyen
2026	J	`jnl`	Safe Data-Enabled Control of Human-in-the-Loop Robotic Manipulator Systems. IEEE Trans. Ind. Informatics Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2025	J	`jnl`	A Novel Online Pseudospectral Method for Approximation of Nonlinear Systems Dynamics. CoRR Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	C	`conf`	A Novel Online System Identification Using Chebyshev Polynomial Basis of the Second Kind. ACC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	J	`jnl`	DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. CoRR Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025	J	`jnl`	DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals. IEEE Commun. Lett. Atik Faysal, Taha Boushine, Mohammad Rostami, Reihaneh Gh. Roshan, Huaxia Wang, Nikhil Muralidhar, Avimanyu Sahoo, Yu-Dong Yao
2025	B	`conf`	Enhanced Multi-Class Classification and Triage of Security Alerts Using Contrastive Learning in Cloud Environment. IJCNN Md Sazzad Hossen, Avimanyu Sahoo
2025	—	`conf`	Federated Split Learning for Human Activity Recognition with Differential Privacy. CCNC Josue Ndeko, Shaba Shaon, Aubrey Beal, Avimanyu Sahoo, Dinh C. Nguyen
2025	J	`jnl`	Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data. Int. J. Prod. Res. Vishwa Vijay Kumar, Avimanyu Sahoo, Siva K. Balasubramanian, Sampson Gholston
2025	—	`conf`	Online Pseudospectral Approach for System Identification and State Estimation. CDC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2025	B	`conf`	REAL-PINN: Physics-Informed Neural Network with Real-Time Adaptive Learning for Lithium-Ion Battery Health Prediction. IJCNN Md Sazzad Hossen, Avimanyu Sahoo
2025	J	`jnl`	State-Constrained Online Adaptive Control for Robotic Manipulators. IEEE Control. Syst. Lett. Ritirupa Dey, Avimanyu Sahoo, Vignesh Narayanan
2024	—	`conf`	Aperiodic Sensing and Data-Driven System Identification of Nonlinear Systems Using Chebyshev Pseudospectral Approach. CDC Arian Yousefian, Avimanyu Sahoo, Vignesh Narayanan
2024	—	`conf`	BEpiC: Binary Episodes for Meta-Learning Towards Better Generalization. WOCC Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024	J	`jnl`	Federated Split Learning for Human Activity Recognition with Differential Privacy. CoRR Josue Ndeko, Shaba Shaon, Aubrey Beal, Avimanyu Sahoo, Dinh C. Nguyen
2024	J	`jnl`	Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2024	B	`conf`	Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution. IJCNN Md Sazzad Hossen, Avimanyu Sahoo, Huaxia Wang
2024	—	`conf`	Public Healthcare Informatics for COVID-19 from Social Media Data. EMBC Vishwa Vijay Kumar, Avimanyu Sahoo, Ritika Kumar, Nicholas Loyd
2023	—	`conf`	Core Temperature Estimation of Lithium-ion Batteries Under Internal Thermal Faults Using Neural Networks. CCTA Geetika Vennam, Avimanyu Sahoo, Vignesh Narayanan
2023	J	`jnl`	Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
2022	C	`conf`	A Novel Coupled Electro-thermal-aging Model for Simultaneous SOC, SOH, and Parameter Estimation of Lithium-ion Batteries. ACC Geetika Vennam, Avimanyu Sahoo, Samir Ahmed
2021	C	`conf`	Adaptive Gain Observers for Distributed State Estimation of Linear Systems. ACC Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
2021	J	`jnl`	On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm. Inf. Sci. Li Li, Gary G. Yen, Avimanyu Sahoo, Liang Chang, Tianlong Gu
2020	—	`conf`	A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows. SSCI Li Li, Avimanyu Sahoo, Liang Chang
2020	C	`conf`	A Novel Evolutionary Algorithm with Pareto Front Adaption for Many-objective Optimization. ACC Li Li, Avimanyu Sahoo, Liang Chang
2020	J	`jnl`	Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players. Neural Networks Avimanyu Sahoo, Vignesh Narayanan
2020	—	`conf`	Finite-time Adaptive Optimal Output Feedback Control of Linear Systems with Intermittent Feedback. SSCI Avimanyu Sahoo, Vignesh Narayanan, Qiming Zhao
2019	J	`jnl`	A Min-Max Approach to Event- and Self-Triggered Sampling and Regulation of Linear Systems. IEEE Trans. Ind. Electron. Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2019	J	`jnl`	An optimal hybrid learning approach for attack detection in linear networked control systems. IEEE CAA J. Autom. Sinica Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan
2019	J	`jnl`	Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Event-Triggered Nonzero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan, Koshy George
2019	—	`conf`	Attack Detection in Linear Networked Control Systems by Using Learning Methodology. CCTA Haifeng Niu, Avimanyu Sahoo, Chandreyee Bhowmick, Sarangapani Jagannathan
2019	J	`jnl`	Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach. Neural Networks Avimanyu Sahoo, Vignesh Narayanan
2019	C	`conf`	Simultaneous State and Parameter Estimation of Lithium-ion Battery: An Observer Based Approach. ACC Geetika Vennam, Avimanyu Sahoo
2018	—	`conf`	Adaptive Optimal Distributed Control of Linear Interconnected Systems. SSCI Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2018	—	`conf`	Approximate Optimal Distributed Control of Nonlinear Interconnected Systems Using Nonzero-Sum Games. CDC Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2018	—	`conf`	Event-based Near Optimal Sampling and Tracking Control of Nonlinear Systems. CDC Avimanyu Sahoo, Vignesh Narayanan
2018	—	`conf`	Event-triggered Control of N-player Nonlinear Systems Using Nonzero-Sum Games. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2018	C	`conf`	Optimal Event-triggered Control of Nonlinear Systems: A Min-max Approach. ACC Vignesh Narayanan, Avimanyu Sahoo, Sarangapani Jagannathan
2017	J	`jnl`	Approximate Optimal Control of Affine Nonlinear Continuous-Time Systems Using Event-Sampled Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2017	—	`conf`	Optimal event-triggered control of uncertain linear networked control systems: A co-design approach. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2017	—	`conf`	Optimal sampling and regulation of uncertain interconnected linear continuous time systems. SSCI Avimanyu Sahoo, Vignesh Narayanan, Sarangapani Jagannathan
2017	J	`jnl`	Stochastic Optimal Regulation of Nonlinear Networked Control Systems by Using Event-Driven Adaptive Dynamic Programming. IEEE Trans. Cybern. Avimanyu Sahoo, Sarangapani Jagannathan
2016	J	`jnl`	Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2016	J	`jnl`	Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2016	J	`jnl`	Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems. IEEE Trans. Neural Networks Learn. Syst. Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2015	C	`conf`	Event-based neural network approximation and control of uncertain nonlinear continuous-time systems. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Event-based optimal regulator design for nonlinear networked control systems. ADPRL Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	—	`conf`	Event-triggered optimal control of nonlinear continuous-time systems in affine form by using neural networks. CDC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan, Travis Dierks
2014	—	`conf`	Event-triggered optimal regulation of uncertain linear discrete-time systems by using Q-learning scheme. CDC Avimanyu Sahoo, Sarangapani Jagannathan
2014	B	`conf`	Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data. IJCNN Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2014	C	`conf`	Neural network approximation-based event-triggered control of uncertain MIMO nonlinear discrete time systems. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	C	`conf`	Adaptive event-triggered control of a uncertain linear discrete time system using measured input and output data. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	C	`conf`	Neural network-based adaptive event-triggered control of affine nonlinear discrete time systems with unknown internal dynamics. ACC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan
2013	—	`conf`	Neural network-based adaptive event-triggered control of nonlinear continuous-time systems. ISIC Avimanyu Sahoo, Hao Xu, Sarangapani Jagannathan