Publications

2026

1. Responsible AI

   Noise-robust and resource-efficient ADMM-based federated learning for WLS regression

   Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, and 1 more author

   Signal Processing, 2026

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2025

1. Responsible AI

   Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

   Vinay Chakravarthi Gogineni and Esmaeil S. Nadimi

   Journal of Machine Learning Research, 2025

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2. Applied AI

   Enhancing polyp characterization in colon capsule endoscopy using ResNet9-KAN

   Vinay Chakravarthi Gogineni, Jan-Matthias Braun, Benedicte Schelde-Olesen, and 2 more authors

   Knowledge-Based Systems, 2025

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3. Sustinable AI

   High-Throughput and Area-Efficient VLSI Architectures for Functional Link Adaptive Filters

   Pavankumar Ganjimala, Vinay Chakravarthi Gogineni, and Subrahmanyam Mula

   Circuits, Systems, and Signal Processing, 2025

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4. Responsible AI

   Region-specific reliable channel estimation in RIS-enabled wireless communications via clustered federated learning

   Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, and 1 more author

   Physical Communication, 2025

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5. Applied AI

   Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway

   Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, and 4 more authors

   Scientific Reports, 2025

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6. Responsible AI

   Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing

   Ehsan Lari, Reza Arablouei, Vinay Chakravarthi Gogineni, and 1 more author

   IEEE Transactions on Signal and Information Processing over Networks, 2025

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7. Responsible AI

   Channel Estimation in RIS-Aided Heterogeneous Wireless Networks via Federated Learning

   Muhammad Asaad Cheema, Apoorva Chawla, Vinay Chakravarthi Gogineni, and 1 more author

   IEEE Communications Letters, 2025

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2024

1. Responsible AI

   Networked Federated Meta-Learning Over Extending Graphs

   Muhammad Asaad Cheema, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi, and 1 more author

   IEEE Internet of Things Journal, 2024

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2. Sustainable AI

   Congestion-Aware Vertical Link Placement and Application Mapping Onto 3-D Network-on-Chip Architectures

   Sambangi Ramesh, Kanchan Manna, Vinay Chakravarthi Gogineni, and 2 more authors

   IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024

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3. Graph ML

   Computationally Efficient Structural Health Monitoring Using Graph Signal Processing

   Muhammad Asaad Cheema, Muhammad Zohaib Sarwar, Vinay Chakravarthi Gogineni, and 2 more authors

   IEEE Sensors Journal, 2024

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4. Hyperspectal AD

   Lightweight Autonomous Autoencoders for Timely Hyperspectral Anomaly Detection

   Vinay Chakravarthi Gogineni, Katinka Müller, Milica Orlandic, and 1 more author

   IEEE Geoscience and Remote Sensing Letters, 2024

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2023

1. Optimization

   Smoothing ADMM for Sparse-Penalized Quantile Regression With Non-Convex Penalties

   Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, and 1 more author

   IEEE Open Journal of Signal Processing, 2023
2. Responsible AI

   Personalized Graph Federated Learning With Differential Privacy

   Francois Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, and 2 more authors

   IEEE Transactions on Signal and Information Processing over Networks, 2023

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3. Responsible AI

   Communication-Efficient and Privacy-Aware Distributed Learning

   Vinay Chakravarthi Gogineni, Ashkan Moradi, Naveen K. D. Venkategowda, and 1 more author

   IEEE Transactions on Signal and Information Processing over Networks, 2023

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4. Responsible AI

   Asynchronous Online Federated Learning With Reduced Communication Requirements

   Francois Gauthier, Vinay Chakravarthi Gogineni, Stefan Werner, and 2 more authors

   IEEE Internet of Things Journal, 2023

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5. Sustainable AI

   Algorithm and Architecture Design of Random Fourier Features-Based Kernel Adaptive Filters

   Vinay Chakravarthi Gogineni, Ramesh Sambangi, Daney Alex, and 2 more authors

   IEEE Transactions on Circuits and Systems I: Regular Papers, 2023

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6. Responsible AI

   Communication-Efficient Online Federated Learning Strategies for Kernel Regression

   Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang, and 1 more author

   IEEE Internet of Things Journal, 2023

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2022

1. Responsible AI

   Personalized Online Federated Learning for IoT/CPS: Challenges and Future Directions

   Vinay Chakravarthi Gogineni, Stefan Werner, Francois Gauthier, and 2 more authors

   IEEE Internet of Things Magazine, 2022

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2. Applied AI

   Towards a data-driven system for personalized cervical cancer risk stratification

   Geir Severin R. E. Langberg, Jan F. Nygård, Vinay Chakravarthi Gogineni, and 3 more authors

   Scientific Reports, 2022

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3. Sustainable AI

   Novel VLSI Architecture for Fractional-Order Correntropy Adaptive Filtering Algorithm

   Daney Alex, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, and 1 more author

   IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2022

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4. Graph ML

   Kernel Regression Over Graphs Using Random Fourier Features

   Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, and 1 more author

   IEEE Transactions on Signal Processing, 2022

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2021

1. Distributed ML

   Performance of Clustered Multitask Diffusion LMS Suffering From Inter-Node Communication Delays

   Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, and Stefan Werner

   IEEE Transactions on Circuits and Systems II: Express Briefs, 2021

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2. Graph ML

   Adaptive Graph Filters in Reproducing Kernel Hilbert Spaces: Design and Performance Analysis

   Vitor R. M. Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, and 1 more author

   IEEE Transactions on Signal and Information Processing over Networks, 2021

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2020

1. Non-Gaussian ML

   Fractional-Order Correntropy Adaptive Filters for Distributed Processing of α-Stable Signals

   Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, and 1 more author

   IEEE Signal Processing Letters, 2020

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2. Non-Gaussian ML

   Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments

   Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, and 1 more author

   IEEE Transactions on Circuits and Systems II: Express Briefs, 2020

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3. Distributed ML

   Improving the Performance of Multitask Diffusion APA via Controlled Inter-Cluster Cooperation

   Vinay Chakravarthi Gogineni and Mrityunjoy Chakraborty

   IEEE Transactions on Circuits and Systems I: Regular Papers, 2020

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2019

1. Sustainable AI

   Robust Proportionate Adaptive Filter Architectures Under Impulsive Noise

   Subrahmanyam Mula, Vinay Chakravarthi Gogineni, and Anindya Sundar Dhar

   IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2019

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2018

1. Sparseity-aware ML

   An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input

   Vinay Chakravarthi Gogineni, Bijit Kumar Das, and Mrityunjoy Chakraborty

   Digit. Signal Process., 2018
2. Sparseity-aware ML

   Logarithmic Cost Based Constrained Adaptive Filtering Algorithms for Sensor Array Beamforming

   Vinay Chakravarthi Gogineni and Subrahmanyam Mula

   IEEE Sensors Journal, 2018

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3. Sparseity-aware ML

   Improved proportionate-type sparse adaptive filtering under maximum correntropy criterion in impulsive noise environments

   Vinay Chakravarthi Gogineni and Subrahmanyam Mula

   Digital Signal Processing, 2018

   Abs DOI

   An improved proportionate adaptive filter based on maximum correntropy criterion (IP-MCC) is proposed for identifying systems with variable sparsity in an impulsive noise environment. Utilization of the MCC mitigates the effect of the impulsive noise while improved proportionate concept exploits the underlying system sparsity to improve the convergence rate. Performance analysis of the proposed IP-MCC reveals that the steady-state excess mean square error (EMSE) of the proposed IP-MCC filter is similar to that of MCC filter. Extensive simulations demonstrate that the proposed IP-MCC outperforms state-of-the-art algorithms in terms of convergence rate and detailed complexity analysis reveals that IP-MCC requires much less computational effort.

4. Sustainable ML

   Algorithm and VLSI Architecture Design of Proportionate-Type LMS Adaptive Filters for Sparse System Identification

   Subrahmanyam Mula, Vinay Chakravarthi Gogineni, and Anindya Sundar Dhar

   IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018

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2017

1. Distributed ML

   A Convex Combination of NLMS and ZA-NLMS for Identifying Systems With Variable Sparsity

   Bijit K. Das, G. Vinay Chakravarthi, and Mrityunjoy Chakraborty

   IEEE Transactions on Circuits and Systems II: Express Briefs, 2017

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2. Sustainable ML

   Algorithm and Architecture Design of Adaptive Filters With Error Nonlinearities

   Subrahmanyam Mula, Vinay Chakravarthi Gogineni, and Anindya Sundar Dhar

   IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2017

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3. Sparseity-aware ML

   A novel framework for compressed sensing based scalable video coding

   B.K.N. Srinivasarao, Vinay Chakravarthi Gogineni, Subrahmanyam Mula, and 1 more author

   Signal Processing: Image Communication, 2017

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