Global software development geographical distance communication challenges. - Areej Al-Zaidi; Rizwan Qureshi (Int. Arab J. Inf. Technol., 2017)

Saliency detection by using blended membership maps of fast fuzzy-C-mean clustering. - Mehmood Nawaz; Sheheryar Khan; Jianfeng Cao; Rizwan Qureshi; Hong Yan 001 (ICMV, 2018)

SkyLake-SP: A 14nm 28-Core xeon® processor. - Simon M. Tam; Harry Muljono; Min Huang; Sitaraman Iyer; Kalapi Royneogi; Nagmohan Satti; Rizwan Qureshi; Wei Chen 129; Tom Wang; Hubert Hsieh; Sujal Vora; Eddie Wang (ISSCC, 2018)

Computational Analysis of Structural Dynamics of EGFR and its Mutants. - Rizwan Qureshi; Mengxu Zhu; Avirup Ghosh; Hong Yan 001 (BIBM, 2019)

Parametric Models for Understanding Atomic Trajectories in Different Domains of Lung Cancer Causing Protein. - Rizwan Qureshi; Mehmood Nawaz; Avirup Ghosh; Hong Yan 001 (IEEE Access, 2019)

Hyperspectral document image processing: Applications, challenges and future prospects. - Rizwan Qureshi; Muhammad Uzair; Khurram Khurshid; Hong Yan 001 (Pattern Recognit., 2019)

Clustering based one-to-one hypergraph matching with a large number of feature points. - Mehmood Nawaz; Sheheryar Khan; Rizwan Qureshi; Hong Yan 001 (Signal Process. Image Commun., 2019)

Agile Framework To Transform Traditional Team. - Abdulrahman Alsari; Rizwan Qureshi; Abdullah M. Algarni (FIE, 2020)

Hybrid Separable Convolutional Inception Residual Network for Human Facial Expression Recognition. - Xinqi Fan; Rizwan Qureshi; Ali Raza Shahid; Jianfeng Cao; Luoxiao Yang; Hong Yan 001 (ICMLC, 2020)

A Stable and Reliable Short-Path Routing Scheme for Efficient Acoustic Wireless Sensor Networks (AWSNs). - Ubaid Ullah; Ali Raza Shahid; Muhammad Irfan 004; Junaid Qadir 003; Mehmood Nawaz; Rizwan Qureshi (IEEE Access, 2020)

Text-independent Speaker Recognition using Deep Neural Networks. - Seham Nasr; Muhannad Quwaider; Rizwan Qureshi (ICIT, 2021)

Ensemble-Based Instance Relevance Estimation in Multiple-Instance Learning. - Muhammad Waqas 007; Muhammad Atif Tahir; Rizwan Qureshi (EUVIP, 2021)

Geometrical Features of Epidermal Growth Factor Receptor-Related Dimers Reveal the Mechanisms of Drug Resistance in Lung Cancer Patients. - Mengxu Zhu; Rizwan Qureshi; Hong Yan 001 (IEEE Access, 2021)

Visualization of Protein-Drug Interactions for the Analysis of Drug Resistance in Lung Cancer. - Rizwan Qureshi; Mengxu Zhu; Hong Yan 001 (IEEE J. Biomed. Health Informatics, 2021)

Understanding Tumor Micro Environment Using Graph Theory. - Kinza Rohail; Saba Bashir; Hazrat Ali; Tanvir Alam; Sheheryar Khan; Jia Wu 009; Pingjun Chen; Rizwan Qureshi (ACCV (Workshops), 2022)

Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. - Usama Tariq; Rizwan Qureshi; Anas Zafar; Danyal Aftab; Jia Wu 009; Tanvir Alam; Zubair Shah; Hazrat Ali (AICS, 2022)

Drug response prediction for lung cancer patients using biophysical simulation and machine learning. - Rizwan Qureshi; Tanvir Alam; Jia Wu 009 (BIBM, 2022)

Guiding Attention using Partial-Order Relationships for Image Captioning. - Murad Popattia; Muhammad Rafi; Rizwan Qureshi; Shah Nawaz (CVPR Workshops, 2022)

LSTM-based Model for Forecasting of COVID-19 Vaccines in Pakistan. - Saba Bashir; Kinza Rohail; Rizwan Qureshi (ICAI, 2022)

Clinical Trials on Alternative Medicines for COVID-19. - Bassam Ali Jaber; Rizwan Qureshi; Alaa A. Abd-Alrazaq; Mohammad Azizur Rahman; Mowafa S. Househ; Zubair Shah; Tanvir Alam (ICIMTH, 2022)

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A Review. - Omer Sadak; Ferhat Sadak; Özal Yildirim; Nicole M. Iverson; Rizwan Qureshi; Muhammed Talo; Ooi Chui Ping; U. Rajendra Acharya; Sundaram Gunasekaran; Tanvir Alam (IEEE Access, 2022)

Correlated Motions and Dynamics in Different Domains of Epidermal Growth Factor Receptor With L858R and T790M Mutations. - Rizwan Qureshi; Avirup Ghosh; Hong Yan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Accelerating DNA Sequence Analysis using Content-Addressable Memory in FPGAs. - Muhammad Irfan 004; Kizheppatt Vipin; Rizwan Qureshi (SmartCloud, 2023)

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. - Rizwan Qureshi; Muhammad Irfan 004; Hazrat Ali; Arshad Khan; Aditya Shekhar Nittala; Shawkat Ali 002; Abbas Shah; Taimoor Muzaffar Gondal; Ferhat Sadak; Zubair Shah; Muhammad Usman Hadi; Sheheryar Khan; et al. (IEEE Access, 2023)

Deep Fake Generation and Detection: Issues, Challenges, and Solutions. - Sonia Salman; Jawwad Ahmed Shamsi; Rizwan Qureshi (IT Prof., 2023)

Object detection and segmentation by composition of fast fuzzy C-mean clustering based maps. - Mehmood Nawaz; Rizwan Qureshi; Mansoor Ali Teevno; Ali Raza Shahid (J. Ambient Intell. Humaniz. Comput., 2023)

Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. - Rizwan Qureshi; Bin Zou 004; Tanvir Alam; Jia Wu 009; Victor H. F. Lee; Hong Yan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications. - Muhammad Waqas 007; Muhammad Atif Tahir; Rizwan Qureshi (Appl. Intell., 2023)

A lightweight CORONA-NET for COVID-19 detection in X-ray images. - Muhammad Usman Hadi; Rizwan Qureshi; Ayesha Ahmed; Nadeem Iftikhar (Expert Syst. Appl., 2023)

EMO-MoviNet: Enhancing Action Recognition in Videos with EvoNorm, Mish Activation, and Optimal Frame Selection for Efficient Mobile Deployment. - Tarique Hussain; Zulfiqar Ali Memon; Rizwan Qureshi; Tanvir Alam (Sensors, 2023)

MSLP: mRNA subcellular localization predictor based on machine learning techniques. - Saleh Musleh; Mohammad Tariqul Islam 002; Rizwan Qureshi; Nihad Alajez; Tanvir Alam (BMC Bioinform., 2023)

Correction: MSLP: mRNA subcellular localization predictor based on machine learning techniques. - Saleh Musleh; Mohammad Tariqul Islam 002; Rizwan Qureshi; Nihad Alajez; Tanvir Alam (BMC Bioinform., 2023)

Multi-Explainable TemporalNet: An Interpretable Multimodal Approach using Temporal Convolutional Network for User-level Depression Detection. - Anas Zafar; Danyal Aftab; Rizwan Qureshi; Yaofeng Wang; Hong Yan 001 (CVPR Workshops, 2024)

Digital Predistortion Based Experimental Evaluation of Optimized Recurrent Neural Network for 5G Analog Radio Over Fiber Links. - Muhammad Usman Hadi; Kamaluddeen Usman Danyaro; Alawi Alqushaibi; Rizwan Qureshi; Tanvir Alam (IEEE Access, 2024)

PowerX: A Probabilistic Graph Model for Complex Smart Grid Networks. - Muhammad Irfan 004; Abdelrahman B. M. Eldaly; Rizwan Qureshi; Muhammad Bilal 001; Shehzad Muhammad Hanif (IEEE Access, 2024)

Weighted Fusion Transformer for Dual PET/CT Head and Neck Tumor Segmentation. - Mohammed A. Mahdi; Shahanawaj Ahamad; Sawsan A. Saad; Alaa Kamal Yousif Dafhalla; Rizwan Qureshi; Alawi Alqushaibi (IEEE Access, 2024)

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023). - Mohammed Gamal Ragab; Said Jadid Abdulkadir; Amgad Muneer; Alawi Alqushaibi; Ebrahim Hamid Hasan Sumiea; Rizwan Qureshi; Safwan Mahmood Al-Selwi; Hitham Alhussian 001 (IEEE Access, 2024)

Optimized Multi-Level Multi-Type Ensemble (OMME) Forecasting Model for Univariate Time Series. - Mehak Usmani; Zulfiqar Ali Memon; Kamaluddeen Usman Danyaro; Rizwan Qureshi (IEEE Access, 2024)

YOLOv10 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once Series. - Ranjan Sapkota; Rizwan Qureshi; Marco Flores-Calero; Chetan Badjugar; Upesh Nepal; Alwin Poulose; Peter Zeno; Uday Bhanu Prakash Vaddevolu; Hong Yan 001; Manoj Karkee (CoRR, 2024)

Unified External Stakeholder Engagement and Requirements Strategy. - Ahmed Abdulaziz Alnhari; Rizwan Qureshi (CoRR, 2024)

Voxel-Aggergated Feature Synthesis: Efficient Dense Mapping for Simulated 3D Reasoning. - Owen Burns; Rizwan Qureshi (CoRR, 2024)

Exploring Multiple Instance Learning (MIL): A brief survey. - Muhammad Waqas 007; Syed Umaid Ahmed; Muhammad Atif Tahir; Jia Wu 009; Rizwan Qureshi (Expert Syst. Appl., 2024)

Single Stage Adaptive Multi-Attention Network for Image Restoration. - Anas Zafar; Danyal Aftab; Rizwan Qureshi; Xinqi Fan; Pingjun Chen; Jia Wu 009; Hazrat Ali; Shah Nawaz; Sheheryar Khan; Mubarak Shah (IEEE Trans. Image Process., 2024)

Current advances in imaging spectroscopy and its state-of-the-art applications. - Anam Zahra; Rizwan Qureshi; Muhammad Sajjad; Ferhat Sadak; Mehmood Nawaz; Haris Ahmad Khan; Muhammad Uzair (Expert Syst. Appl., 2024)

Preptimize: Automation of Time Series Data Preprocessing and Forecasting. - Mehak Usmani; Zulfiqar Ali Memon; Adil Zulfiqar; Rizwan Qureshi (Algorithms, 2024)

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health. - Belqes Alsadi; Saleh Musleh; Hamada R. H. Al-Absi; Mahmoud Ahmed Refaee; Rizwan Qureshi; Nady El Hajj; Tanvir Alam (BMC Medical Informatics Decis. Mak., 2024)

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models. - Behraj Khan; Rizwan Qureshi; Nouman M. Durrani; Tahir Qasim Syed (CVPR Workshops, 2025)

MTKD-LRS: Semi Supervised Knee Cartilage Segmentation using Eigen Low Rank Subspace Assisted Mean-Teacher Framework. - Ammar Khawer; Sheheryar Khan; Rizwan Qureshi; Muhammad Awais; Weitian Chen; Jia Wu 009 (ISBI, 2025)

Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis. - Shudipta Roy; Xinqi Fan; Nashid Alam; Xueli Chen; Rizwan Qureshi; Jia Wu 009; Moi Hoon Yap (MIUA (2), 2025)

Technical note on calibrating vision-language models under covariate shift. - Behraj Khan; Rizwan Qureshi; Tahir Syed (CoRR, 2025)

Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future. - Shaina Raza; Rizwan Qureshi; Anam Zahid; Joseph Fioresi; Ferhat Sadak; Muhammad Saeed; Ranjan Sapkota; Aditya Jain; Anas Zafar; Muneeb Ul Hassan 001; Aizan Zafar; Hasan Maqbool; et al. (CoRR, 2025)

VLDBench: Vision Language Models Disinformation Detection Benchmark. - Shaina Raza; Ashmal Vayani; Aditya Jain; Aravind Narayanan; Vahid Reza Khazaie; Syed Raza Bashir; Elham Dolatabadi; Gias Uddin 001; Christos Emmanouilidis; Rizwan Qureshi; Mubarak Shah (CoRR, 2025)

Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods. - Shaina Raza; Rizwan Qureshi; Marcelo Lotif; Aman Chadha; Deval Pandya; Christos Emmanouilidis (CoRR, 2025)

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery. - Zhenyu Yu; Mohd Yamani Idna Idris; Pei Wang; Yuelong Xia; Fei Ma; Rizwan Qureshi (CoRR, 2025)

A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge. - Tarique Dahri; Zulfiqar Ali Memon; Zhenyu Yu; Mohd Yamani Idna Idris; Sheheryar Khan; Sadiq Ahmad; Maged Shoman; Saddam Aziz; Rizwan Qureshi (CoRR, 2025)

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. - Afifa Khaled; Mohammed Sabir; Rizwan Qureshi; Camillo Maria Caruso; Valerio Guarrasi; Suncheng Xiang; S. Kevin Zhou (CoRR, 2025)

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. - Rizwan Qureshi; Ranjan Sapkota; Abbas Shah; Amgad Muneer; Anas Zafar; Ashmal Vayani; Maged Shoman; Abdelrahman B. M. Eldaly; Kai Zhang; Ferhat Sadak; Shaina Raza; Xinqi Fan; et al. (CoRR, 2025)

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift. - Behraj Khan; Tahir Qasim Syed; Nouman M. Durrani; Bilal Naseem; Shabir Ahmad; Rizwan Qureshi (CoRR, 2025)

Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning. - Abdul Hannan; Zahid Mahmood; Rizwan Qureshi; Hazrat Ali (CoRR, 2025)

Semi-Supervised Knee Cartilage Segmentation With Successive Eigen Noise-Assisted Mean Teacher Knowledge Distillation. - Sheheryar Khan; Muhammad Ammar Khawer; Rizwan Qureshi; Mehmood Nawaz; Muhammad Asim; Weitian Chen; Hong Yan 001 (IEEE Trans. Medical Imaging, 2025)

YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series. - Ranjan Sapkota; Marco Flores-Calero; Rizwan Qureshi; Chetan Badgujar; Upesh Nepal; Alwin Poulose; Peter Zeno; Uday Bhanu Prakash Vaddevolu; Sheheryar Khan; Maged Shoman; Hong Yan 001; Manoj Karkee (Artif. Intell. Rev., 2025)