Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain. - Anindya Bijoy Das; Mohammed Imamul Hassan Bhuiyan (Biomed. Signal Process. Control., 2016)

Classification of EEG signals using normal inverse Gaussian parameters in the dual-tree complex wavelet transform domain for seizure detection. - Anindya Bijoy Das; Mohammed Imamul Hassan Bhuiyan; S. M. Shafiul Alam (Signal Image Video Process., 2016)

C3LES: Codes for Coded Computation that Leverage Stragglers. - Anindya Bijoy Das; Li Tang 004; Aditya Ramamoorthy (ITW, 2018)

Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach. - Anindya Bijoy Das; Aditya Ramamoorthy (ISIT, 2019)

Classification of focal and non-focal EEG signals in VMD-DWT domain using ensemble stacking. - Md Mosheyur Rahman; Mohammed Imamul Hassan Bhuiyan; Anindya Bijoy Das (Biomed. Signal Process. Control., 2019)

Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation. - Anindya Bijoy Das; Aditya Ramamoorthy; Namrata Vaswani (CoRR, 2019)

Straggler-resistant distributed matrix computation via coding theory. - Aditya Ramamoorthy; Anindya Bijoy Das; Li Tang 004 (CoRR, 2020)

Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing. - Aditya Ramamoorthy; Anindya Bijoy Das; Li Tang 004 (IEEE Signal Process. Mag., 2020)

Efficient and Robust Distributed Matrix Computations via Convolutional Coding. - Anindya Bijoy Das; Aditya Ramamoorthy; Namrata Vaswani (IEEE Trans. Inf. Theory, 2021)

An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations. - Anindya Bijoy Das; Aditya Ramamoorthy (ISIT, 2022)

A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation. - Anindya Bijoy Das; Aditya Ramamoorthy (IEEE J. Sel. Areas Inf. Theory, 2022)

Coded Sparse Matrix Computation Schemes That Leverage Partial Stragglers. - Anindya Bijoy Das; Aditya Ramamoorthy (IEEE Trans. Inf. Theory, 2022)

Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. - Anindya Bijoy Das; Aditya Ramamoorthy; David J. Love; Christopher G. Brinton (Allerton, 2023)

A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. - Satyavrat Wagle; Anindya Bijoy Das; David J. Love; Christopher G. Brinton (GLOBECOM, 2023)

Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. - Anindya Bijoy Das; Aditya Ramamoorthy; David J. Love; Christopher G. Brinton (ICASSP, 2023)

Distributed Matrix Computations With Low-Weight Encodings. - Anindya Bijoy Das; Aditya Ramamoorthy; David J. Love; Christopher G. Brinton (IEEE J. Sel. Areas Inf. Theory, 2023)

Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations. - Shahnewaz Karim Sakib; Anindya Bijoy Das (IEEE Big Data, 2024)

Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal Accuracy. - Shahnewaz Karim Sakib; Anindya Bijoy Das (IEEE Big Data, 2024)

Constant Modulus Waveform Design with Block-Level Interference Exploitation for DFRC Systems. - Byunghyun Lee 001; Anindya Bijoy Das; David J. Love; Christopher G. Brinton; James V. Krogmeier (ICC, 2024)

Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. - Seohyun Lee; Anindya Bijoy Das; Satyavrat Wagle; Christopher G. Brinton (ICC, 2024)

Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. - Myeung Suk Oh; Anindya Bijoy Das; Taejoon Kim; David J. Love; Christopher G. Brinton (ICC, 2024)

A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. - Myeung Suk Oh; Anindya Bijoy Das; Seyyedali Hosseinalipour; Taejoon Kim; David J. Love; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning. - Myeung Suk Oh; Anindya Bijoy Das; Taejoon Kim; David J. Love; Christopher G. Brinton (IEEE J. Sel. Areas Commun., 2024)

Do Small Cells Make Sense for Simple Low Cost LPWANs? - Ashwin Natraj Arun; Anindya Bijoy Das; Christopher G. Brinton; David J. Love; James V. Krogmeier (IEEE Wirel. Commun. Lett., 2024)

Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge. - Anindya Bijoy Das; Aditya Ramamoorthy; David J. Love; Christopher G. Brinton (IEEE Internet Things J., 2024)

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. - Seohyun Lee; Wenzhi Fang; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (CoRR, 2025)

Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models. - Shahnewaz Karim Sakib; Anindya Bijoy Das; Shibbir Ahmed (CoRR, 2025)

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models. - Anindya Bijoy Das; Shibbir Ahmed; Shahnewaz Karim Sakib (CoRR, 2025)

Can Large Language Models Challenge CNNS in Medical Image Analysis? - Shibbir Ahmed; Shahnewaz Karim Sakib; Anindya Bijoy Das (CoRR, 2025)

Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. - Junghoon Kim; Taejoon Kim; Anindya Bijoy Das; Seyyedali Hosseinalipour; David J. Love; Christopher G. Brinton (IEEE Trans. Inf. Theory, 2025)