Re-engineering Machine Translation Systems through Symbiotic Approach. - Pawan Kumar 001; Rashid Ahmad 003; Arun Kumar Rathaur; Mukul K. Sinha; Rajeev Sangal (IC3 (2), 2010)

Dashboard: An integration and testing platform based on backboard architecture for NLP applications. - Pawan Kumar 001; Arun Kumar Rathaur; Rashid Ahmad 003; Mukul K. Sinha; Rajeev Sangal (NLPKE, 2010)

Enriched Dashboard: An Integration and Visualization Tool for Distributed NLP Systems on Heterogeneous Platforms. - Pawan Kumar 001; Rashid Ahmad 003; B. D. Chaudhary; Mukul K. Sinha (ICCSA (6), 2013)

Dashboard: A Tool for Integration, Validation, and Visualization of Distributed NLP Systems on Heterogeneous Platforms. - Pawan Kumar 001; Rashid Ahmad 003; Banshi Dhar Chaudhary; Mukul K. Sinha (IJCNLP, 2013)

Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud. - Pawan Kumar 001; Rashid Ahmad 003; Banshi Dhar Chaudhary; Rajeev Sangal (SOSE, 2013)

Improve User Experience on Web for Machine Translation System Using Storm. - Rashid Ahmad 003; Pawan Kumar 001; Ashutosh Kumar; Mukul K. Sinha; B. D. Chaudhary (BDCloud, 2014)

Improve performance of machine translation service using memcached. - Priyank Gupta; Rashid Ahmad 003; Manish Shrivastava 001; Pawan Kumar 001; Mukul K. Sinha (ICCSA (7), 2017)

Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling. - Pawan Kumar 001 (CoRR, 2017)

Transzaar: Empowers Human Translators. - Rashid Ahmad 003; Priyank Gupta; Nagaraju Vuppala; Sanket Kumar Pathak; Ashutosh Kumar; Gagan Soni; Sravan Kumar; Manish Shrivastava 001; Avinash K. Singh; Arbind K. Gangwar; Pawan Kumar 001; Mukul K. Sinha (ICCSA (6), 2018)

Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. - Sahithi Rampalli; Natasha Sehgal; Ishita Bindlish; Tanya Tyagi; Pawan Kumar 001 (FPGA, 2019)

Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. - Abhinav Aggarwal; Shivam Kakkar; Pawan Kumar 001 (CoRR, 2019)

Two-Grid Preconditioned Solver for Bundle Adjustment. - Siddhant Katyan; Shrutimoy Das; Pawan Kumar 001 (WACV, 2020)

Enhancing multi-tenancy security in the cloud computing using hybrid ECC-based data encryption approach. - Pawan Kumar 001; Ashutosh Kumar Bhatt (IET Commun., 2020)

SCIMAT: Dataset of Problems in Science and Mathematics. - Snehith Kumar Chatakonda; Neeraj Kollepara; Pawan Kumar 001 (BDA, 2021)

DXML: Distributed Extreme Multilabel Classification. - Pawan Kumar 001 (BDA, 2021)

A Deflation based Fast and Robust Preconditioner for Bundle Adjustment. - Shrutimoy Das; Siddhant Katyan; Pawan Kumar 001 (WACV, 2021)

SCIMAT: Science and Mathematics Dataset. - Neeraj Kollepara; Snehith Kumar Chatakonda; Pawan Kumar 001 (CoRR, 2021)

On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (CoRR, 2021)

A Riemannian Approach to Extreme Classification Problems. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (COMAD/CODS, 2022)

Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers. - Pratik Mandlecha; Snehith Kumar Chatakonda; Neeraj Kollepara; Pawan Kumar 001 (SDM, 2022)

Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. - Tanmay Kumar Sinha; Jayadev Naram; Pawan Kumar 001 (WACV, 2022)

Generalized Structured Low-Rank Tensor Learning. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (COMAD/CODS, 2023)

A Label-Free Low-Cost Radio Frequency Driven Noninvasive Lab-on-Chip System for Creatinine Detection. - Swarnim Sinha; Andleeb Zahra; Imran Siddiqui; Pawan Kumar 001; Alimpan Modak; Prabhakar Bhimalapuram; Tapan K. Sau; Syed Azeemuddin; Zia Abbas (ICST, 2023)

Adaptive Consensus Optimization Method for GANs. - Sachin Kumar Danisetty; Santhosh Reddy Mylaram; Pawan Kumar 001 (IJCNN, 2023)

Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. - Kinal Mehta; Anuj Mahajan; Pawan Kumar 001 (IJCNN, 2023)

Light-weight Deep Extreme Multilabel Classification. - Istasis Mishra; Arpan Dasgupta; Pratik Jawanpuria; Bamdev Mishra; Pawan Kumar 001 (IJCNN, 2023)

Angle based dynamic learning rate for gradient descent. - Neel Mishra; Pawan Kumar 001 (IJCNN, 2023)

Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition. - Arpan Dasgupta; Pawan Kumar 001 (ECML/PKDD (4), 2023)

marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. - Kinal Mehta; Anuj Mahajan; Pawan Kumar 001 (ECML/PKDD (7), 2023)

Review of Extreme Multilabel Classification. - Arpan Dasgupta; Siddhant Katyan; Shrutimoy Das; Pawan Kumar 001 (CoRR, 2023)

Structured Low-Rank Tensor Learning. - Jayadev Naram; Tanmay Kumar Sinha; Pawan Kumar 001 (CoRR, 2023)

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Pawan Kumar 001; Junbin Gao (SIAM J. Optim., 2023)

A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. - Neel Mishra; Pawan Kumar 001; Pratik Jawanpuria; Bamdev Mishra (IJCNN, 2024)

Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation. - Prasha Srivastava; Pawan Kumar 001; Zia Abbas (ISCAS, 2024)

Qualitative data augmentation for performance prediction in VLSI circuits. - Prasha Srivastava; Pawan Kumar 001; Zia Abbas (Integr., 2024)

HE-AO: An Optimization-Based Encryption Approach for Data Delivery Model in A Multi-Tenant Environment. - Pawan Kumar 001; Ashutosh Kumar Bhatt (Wirel. Pers. Commun., 2024)