Deterministic construction of sparse binary and ternary matrices from existing binary sensing matrices. - Pradip Sasmal; R. Ramu Naidu; Challa S. Sastry; Phanindra Jampana (CoRR, 2015)

Low memory implementation of Orthogonal Matching Pursuit like greedy algorithms: Analysis and Applications. - Laura Rebollo-Neira; Pradip Sasmal (CoRR, 2016)

Composition of Binary Compressed Sensing Matrices. - Pradip Sasmal; R. Ramu Naidu; Challa S. Sastry; Phanindra Jampana (IEEE Signal Process. Lett., 2016)

Disjunct Matrices for Compressed Sensing. - Pradip Sasmal; Sai Subramanyam Thoota; Chandra R. Murthy (ICASSP, 2019)

Construction of highly redundant incoherent unit norm tight frames as a union of orthonormal bases. - Pradip Sasmal; Phanindra Jampana; Challa S. Sastry (J. Complex., 2019)

Comparison of Orthogonal vs. Union of Subspace Based Pilots for Multi-Cell Massive MIMO Systems. - Anubhab Chowdhury; Pradip Sasmal; Chandra R. Murthy (SPAWC, 2020)

Analysis of the self projected matching pursuit algorithm. - Laura Rebollo-Neira; Miroslav Rozlozník; Pradip Sasmal (J. Frankl. Inst., 2020)

Construction of Binary Matrices as a Union of Orthogonal Blocks via Generalized Euler Squares. - Pradip Sasmal; Phanindra Jampana; Challa S. Sastry (IEEE Signal Process. Lett., 2021)

Nullspace Property for Optimality of Minimum Frame Angle Under Invertible Linear Operators. - Pradip Sasmal; Theeda Prasad; Phanindra Jampana; Challa S. Sastry (IEEE Signal Process. Lett., 2021)

Incoherence is Sufficient for Statistical RIP of Unit Norm Tight Frames: Constructions and Properties. - Pradip Sasmal; Chandra R. Murthy (IEEE Trans. Signal Process., 2021)

Light Weight RL Based Run Time Power Management Methodology for Edge Devices. - Ratnala Vinay; Pradip Sasmal; Chandrajit Pal; Toshihisa Haraki; Kazuhiro Tamura; Chirag Juyal; Mohamed Amir Gabir Elbakri; Sumohana S. Channappayya; Amit Acharyya (ICECS 2022, 2022)

Clustered Network Adaptation Methodology for the Resource Constrained Platform. - Pratibha Verma; Pradip Sasmal; Chandrajit Pal; Sumohana S. Channappayya; Amit Acharyya (NEWCAS, 2022)

Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning. - Avinash Amballa; Advaith P.; Pradip Sasmal; Sumohana S. Channappayya (CoRR, 2022)

On the Performance of Distributed Antenna Array Systems With Quasi-Orthogonal Pilots. - Anubhab Chowdhury; Pradip Sasmal; Chandra R. Murthy; Ribhu Chopra (IEEE Trans. Veh. Technol., 2022)

Power and Memory Efficient High-Speed RL Based Run time Power Manager for Edge Computation. - Ratnala Vinay; Kartik Laad; Chandrajit Pal; Pradip Sasmal; Toshihisa Haraki; Chirag Juyal; Mohamed Amir Gabir Elbakri; Amit Acharyya (MWSCAS, 2023)

Run-Time Prevention of Thermal Throttling on the Edge using Reinforcement-Learning Based Predictive Thermal Aware Power and Performance Management. - Parveen Nisha; Ratnala Vinay; Kartik Laad; Pradip Sasmal; Toshihisa Haraki; Chirag Juyal; Mohamed Amir Gabir Elbakri; Amit Acharyya (NewCAS, 2024)

Digital Twin Based Run Time Power Management for Edge SoC using Performance Aware Reinforcement Learning. - Ratnala Vinay; Kartik Laad; Parveen Nisha; Afreen Aijaz; Bhavya Pisipati; Pradip Sasmal; Toshihisa Haraki; Chirag Juyal; Yuki Tanimoto; Amit Acharyya (SOCC, 2024)

Non-negative sparse signal recovery using the integration of ReLU and hard thresholding pursuit operators. - Pradyumna Pradhan; Sk Md Atique Anwar; Ramunaidu Randhi; Pradip Sasmal (Signal Process., 2025)

Deterministic construction of unimodular tight frames consisting orthogonal blocks via block preserving operators. - Pradyumna Pradhan; Shubham Kumar Jain; Pradip Sasmal; Ramunaidu Randhi (Signal Process., 2025)