A Reactive Tabu Search Based Equalizer for Severely Delay-Spread UWB MIMO-ISI Channels. - N. Srinidhi; Saif K. Mohammed; Ananthanarayanan Chockalingam (GLOBECOM, 2009)

Low-complexity near-ML decoding of large non-orthogonal STBCs using reactive tabu search. - B. Sundar Rajan; Saif K. Mohammed; Ananthanarayanan Chockalingam; Nagaraja Srinidhi (ISIT, 2009)

Near-ML Signal Detection in Large-Dimension Linear Vector Channels Using Reactive Tabu Search - N. Srinidhi; Saif K. Mohammed; Ananthanarayanan Chockalingam; B. Sundar Rajan (CoRR, 2009)

A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals - Tanumay Datta; N. Srinidhi; Ananthanarayanan Chockalingam; B. Sundar Rajan (CoRR, 2010)

Random-Restart Reactive Tabu Search Algorithm for Detection in Large-MIMO Systems. - Tanumay Datta; N. Srinidhi; Ananthanarayanan Chockalingam; B. Sundar Rajan (IEEE Commun. Lett., 2010)

Low-Complexity Detection/Equalization in Large-Dimension MIMO-ISI Channels Using Graphical Models - Pritam Som; Tanumay Datta; N. Srinidhi; Ananthanarayanan Chockalingam; B. Sundar Rajan (CoRR, 2011)

Low-Complexity Detection in Large-Dimension MIMO-ISI Channels Using Graphical Models. - Pritam Som; Tanumay Datta; N. Srinidhi; Ananthanarayanan Chockalingam; B. Sundar Rajan (IEEE J. Sel. Top. Signal Process., 2011)

Layered Tabu Search Algorithm for Large-MIMO Detection and a Lower Bound on ML Performance. - N. Srinidhi; Tanumay Datta; Ananthanarayanan Chockalingam; B. Sundar Rajan (IEEE Trans. Commun., 2011)

Bounds on the sum-rate capacity of the Gaussian MIMO X channel. - Ranga Prasad; N. Srinidhi; A. Chockalingam (Allerton Conference, 2012)

Split Computing: Dynamic Partitioning and Reliable Communications in IoT-Edge for 6G Vision. - Jyotirmoy Karjee; Kartik Anand; Vanamala Narasimha Bhargav; Praveen S. Naik; Ramesh Babu Venkat Dabbiru; N. Srinidhi (FiCloud, 2021)

Dynamic Split Computing of PoseNet Inference for Fitness Applications in Home IoT-Edge Platform. - Jyotirmoy Karjee; Kartik Anand; Praveen S. Naik; Ramesh Babu Venkat Dabbiru; Chandrashekhar S. Byadgi; N. Srinidhi (COMSNETS, 2022)

Split Computing based Quantized PoseNet Model for Distributed AI Architecture in IoT-Edge. - Jyotirmoy Karjee; Praveen S. Naik; Kartik Anand; Chandrashekhar S. Byadgi; Ramesh Babu Venkat Dabbiru; N. Srinidhi (COMSNETS, 2023)

A Lightweight Multimodal Learning Model to Recognize User Sentiment in Mobile Devices. - Jyotirmoy Karjee; N. Srinidhi; Gargi Dwivedi; Arun Bhagavath; Prajwal Ranjan (ICCE, 2023)

Split Federated Learning and Reinforcement based Codec Switching in Edge Platform. - Jyotirmoy Karjee; Praveen S. Naik; N. Srinidhi (ICCE, 2023)