Performance Evaluation of Wimax Physical Layer under Adaptive Modulation Techniques and Communication Channels - Md. Ashraful Islam; Riaz Uddin Mondal; Md. Zahid Hasan (CoRR, 2009)

Comparative Study of Different Guard Time Intervals to Improve the BER Performance of Wimax Systems to Minimize the Effects of ISI and ICI under Adaptive Modulation Techniques over SUI1 and AWGN Communication Channels - Md. Zahid Hasan; Mohammad Reaz Hossain; Md. Ashraful Islam; Riaz Hossain (CoRR, 2009)

A Framework for Detecting Driver Drowsiness Based on Eye Blinking Rate and Hand Gripping Pressure. - Md. Ashfakur Rahman Arju; Naib Hossain Khan; Kazi Ekramul Hoque; Arif Rizvi Jisan; Saifuddin M. Tareque; Md. Zahid Hasan (IJCCI, 2018)

A CNN-Based Classification Model for Recognizing Visual Bengali Font. - Md. Zahid Hasan; Kh. Tanzila Rahman; Rokeya Islam Riya; K. M. Zubair Hasan; Nusrat Zahan (IJCCI, 2018)

A Variable Length Key Based Cryptographic Approach on Cloud Data. - Pronab Ghosh; Md. Zahid Hasan; Syeda Tanjila Atik; Md. Ismail Jabiullah (ICIT, 2019)

Recognition of Jute Diseases by Leaf Image Classification using Convolutional Neural Network. - Md. Zahid Hasan; Md. Sazzadur Ahamed; Aniruddha Rakshit; K. M. Zubair Hasan (ICCCNT, 2019)

Sources and Impact of Uncertainty on Rule-Based Decision-Making Approaches. - Md. Zahid Hasan; Shakhawat Hossain; Mohammad Shorif Uddin; Mohammad Shahidul Islam (IJCCI, 2019)

An Optimized Pruning Technique for Handling Uncertainty in Decision-Making Process. - Md. Zahid Hasan; Shakhawat Hossain; Mohammad Shorif Uddin; Mohammad Shahidul Islam (IJCCI, 2019)

Weather Forecasting for the North-Western region of Bangladesh: A Machine Learning Approach. - Md. Arif Rizvee; Md. Ashfakur Rahman Arju; Md. Al-Hasan; Saifuddin Mohammad Tareque; Md. Zahid Hasan (ICCCNT, 2020)

A Multi-attribute Decision Making Approach for Trauma Center Site Selection. - Kaniz Fatema; Md. Awlad Hossen Rony; Nusrat Zahan; Md. Zahid Hasan (ICCCNT, 2021)

Automated Foot and Mouth Disease Classification Using Transfer Learning-Based Deep Convolutional Neural Network. - Md. Awlad Hossen Rony; Dola Barai; Riad; Md. Zahid Hasan (ICCCNT, 2021)

Breast Cancer Prediction with Gaussian Process Using Anthropometric Parameters. - Sheikh Tonmoy; Habiba Khan Hiya; Md. Zahid Hasan; K. M. Zubair Hasan; Nusrat Zahan (ICCCNT, 2021)

Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases. - Pronab Ghosh; Sami Azam; Asif Karim; Mirjam Jonkman; Md. Zahid Hasan (ICISDM, 2021)

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim; Ashraful Islam (IEEE Access, 2022)

An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification. - Inam Ullah Khan; Sami Azam; Sidratul Montaha; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Mirjam Jonkman (Intell. Syst. Appl., 2022)

Brain Tumor Segmentation from 3D MRI Scans Using U-Net. - Sidratul Montaha; Sami Azam; A. K. M. Rakibul Haque Rafid; Md. Zahid Hasan; Asif Karim (SN Comput. Sci., 2023)

GDRNet: A Novel Graph Neural Network Architecture for Diabetic Retinopathy Detection. - Shahed Hossain; Md. Zahid Hasan; Risul Islam Jim; Taslima Ferdaus Shuva; Md. Tanvir Rahman; Abdullah Al-Mamun Bulbul; Risala Tasin Khan; M. Shamim Kaiser; Mohammad Ali Moni (ICDM (Workshops), 2024)

EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images. - Md. Zahid Hasan; Shahed Hossain; Risul Islam Jim; Abdullah Al-Mamun Bulbul; Md. Tanvir Rahman; Mohammad Ali Moni (MCHM@MM, 2024)

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. - Chih-Hsuan Yang; Benjamin Feuer; Talukder Zaki Jubery; Zi K. Deng; Andre Nakkab; Md. Zahid Hasan; Shivani Chiranjeevi; Kelly O. Marshall; Nirmal Baishnab; Asheesh Kumar Singh; Arti Singh; Soumik Sarkar; et al. (NeurIPS, 2024)

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. - Md. Zahid Hasan; Sidratul Montaha; Inam Ullah Khan; Md. Mehedi Hassan; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Sami Azam; Asif Karim; Spyridon Prountzos; Efthymia Alexopoulou; Umama Binta Ashraf; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

KOA-CCTNet: An Enhanced Knee Osteoarthritis Grade Assessment Framework Using Modified Compact Convolutional Transformer Model. - Mushrat Jahan; Md. Zahid Hasan; Ismot Jahan Samia; Kaniz Fatema; Md. Awlad Hossen Rony; Mohammad Shamsul Arefin; Ahmed Moustafa (IEEE Access, 2024)

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions. - Showmick Guha Paul; Arpa Saha; Md. Zahid Hasan; Sheak Rashed Haider Noori; Ahmed Moustafa (IEEE Access, 2024)

SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction. - Radiful Islam; Rashik Shahriar Akash; Md. Awlad Hossen Rony; Md. Zahid Hasan (Array, 2024)

GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning. - Hsin-Jung Yang; Joe Beck; Md. Zahid Hasan; Ekin Beyazit; Subhadeep Chakraborty; Tichakorn Wongpiromsarn; Soumik Sarkar (CoRR, 2024)

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. - Chih-Hsuan Yang; Benjamin Feuer; Zaki Jubery; Zi K. Deng; Andre Nakkab; Md. Zahid Hasan; Shivani Chiranjeevi; Kelly O. Marshall; Nirmal Baishnab; Asheesh K. Singh; Arti Singh; Soumik Sarkar; et al. (CoRR, 2024)

ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach. - Tasmin Karim; Md. Shazzad Hossain Shaon; Md. Fahim Sultan; Md. Zahid Hasan; Abdulla-Al Kafy (Comput. Biol. Medicine, 2024)

DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features. - Shakil Rana; Md Jabed Hosen; Tasnim Jahan Tonni; Md. Awlad Hossen Rony; Kaniz Fatema; Md. Zahid Hasan; Md. Tanvir Rahman; Risala Tasin Khan; Tony Jan; Md Whaiduzzaman (Sensors, 2024)

An Automated Histopathological Colorectal Cancer Multi-Class Classification System Based on Optimal Image Processing and Prominent Features. - Tasnim Jahan Tonni; Shakil Rana; Kaniz Fatema; Asif Karim; Md. Awlad Hossen Rony; Md. Zahid Hasan; Md. Saddam Hossain Mukta; Sami Azam (Comput. Intell., 2024)

Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. - Md. Zahid Hasan; Jiajing Chen; Jiyang Wang; Mohammed Shaiqur Rahman; Ameya Joshi; Senem Velipasalar; Chinmay Hegde; Anuj Sharma; Soumik Sarkar (IEEE Trans. Intell. Transp. Syst., 2024)

SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time. - Abdullah Al Mahmud 002; Sami Azam; Inam Ullah Khan; Sidratul Montaha; Asif Karim; Aminul Haque; Md. Zahid Hasan; Mark Brady; Ritu Biswas; Mirjam Jonkman (Neural Comput. Appl., 2024)

A systematic first-principles investigation of the structural, electronic, mechanical, optical, and thermodynamic properties of Half-Heusler ANiX (ASc, Ti, Y, Zr, Hf; XBi, Sn) for spintronics and optoelectronics applications. - Md. Tarekuzzaman; Mohammad Hasin Ishraq; Md. Atikur Rahman; Ahmad Irfan; Md. Zillur Rahman; Mist. Shamima Akter; Sumaya Abedin; M. A. Rayhan; Md. Rasheduzzaman; M. Moazzam Hossen; Md. Zahid Hasan (J. Comput. Chem., 2024)

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. - Joshua R. Waite; Md. Zahid Hasan; Qisai Liu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (ICCPS, 2025)

Framework for enhanced respiratory disease identification with clinical handcrafted features. - Md. Ibrahim Patwary khokan; Tasnim Jahan Tonni; Md. Awlad Hossen Rony; Kaniz Fatema; Md. Zahid Hasan (Comput. Biol. Medicine, 2025)

A CNN Approach to Automated Detection and Classification of Brain Tumors. - Md. Zahid Hasan; Abdullah Tamim; D. M. Asadujjaman; Md. Mahfujur Rahman; Md. Abu Ahnaf Mollick; Nosin Anjum Dristi; Abdullah Al Noman (CoRR, 2025)

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. - Sadia Islam Tonni; Md. Alif Sheakh; Mst. Sazia Tahosin; Md. Zahid Hasan; Taslima Ferdaus Shuva; Touhid Bhuiyan; Muhammad Ali Abdullah Almoyad; Nabil Anan Orka; Md. Tanvir Rahman; Risala Tasin Khan; M. Shamim Kaiser; Mohammad Ali Moni (Adv. Intell. Syst., 2025)

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. - Zhanhong Jiang; Md. Zahid Hasan; Aditya Balu; Joshua R. Waite; Genyi Huang; Soumik Sarkar (CoRR, 2025)

A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis. - Sadia Sultana Chowa; Md. Rahad Islam Bhuiyan; Israt Jahan Payel; Asif Karim; Inam Ullah Khan; Sidratul Montaha; Md. Zahid Hasan; Mirjam Jonkman; Sami Azam (J. Heal. Informatics Res., 2025)

OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis. - Samya Acharja; Md. Zahid Hasan; Farjana Haque Chamok; Kayes Uddin Fahim; Taslima Ferdaus Shuva; Abdullah Al-Mamun Bulbul; Risala Tasin Khan; Md. Tanvir Rahman; M. Shamim Kaiser; Mufti Mahmud; Mohammad Ali Moni (Cogn. Comput., 2025)

Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. - Md. Zahid Hasan; Guillermo Basulto-Elias; Jun Ha Chang; Sahuna Hallmark; Matthew Rizzo; Anuj Sharma; Soumik Sarkar (CoRR, 2025)