Adaptive task scheduling in IoT using reinforcement learning. - Mohammad Khalid Pandit; Roohie Naaz Mir; Mohammad Ahsan Chishti (Int. J. Intell. Comput. Cybern., 2020)

SARS n-CoV2-19 detection from chest x-ray images using deep neural networks. - Mohammad Khalid Pandit; Shoaib Amin Banday (Int. J. Pervasive Comput. Commun., 2020)

Texture maps and chaotic maps framework for secure medical image transmission. - Shoaib Amin Banday; Mohammad Khalid Pandit (Multim. Tools Appl., 2021)

Learning Sparse Neural Networks Using Non-Convex Regularization. - Mohammad Khalid Pandit; Roohie Naaz Mir; Mohammad Ahsan Chishti (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Bang for the Buck: Evaluating the Cost-Effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads. - Amarjeet Saini; Omkar B. Shende; Mohammad Khalid Pandit; Rijurekha Sen; Gayathri Ananthanarayanan (SEC, 2023)

Variance-Guided Structured Sparsity in Deep Neural Networks. - Mohammad Khalid Pandit; Mahroosh Banday (IEEE Trans. Artif. Intell., 2023)

Performance Analysis of Machine Learning Techniques in Plant Leaf Disease Detection. - Sankalap Gupta; Piyush Kumar; Mohammad Khalid Pandit (CVMI, 2024)

A Survey on the Integration and Optimization of Large Language Models in Edge Computing Environments. - Sarthak Bhardwaj; Pardeep Singh; Mohammad Khalid Pandit (ICCAE, 2024)

Repercussions of Using DNN Compilers on Edge GPUs for Real Time and Safety Critical Systems: A Quantitative Audit. - Omais Shafi; Mohammad Khalid Pandit; Amarjeet Saini; Gayathri Ananthanarayanan; Rijurekha Sen (ACM J. Emerg. Technol. Comput. Syst., 2024)

Quantum-Behaved Particle Swarm Optimization for the Segmentation of Kidney Stone CT Images. - Sajad Ahmad Rather; Akhilesh Kandwal; Mohammad Khalid Pandit; Partha Pratim Roy 001 (ICASSP, 2025)