Impact-Learning: A Robust Machine Learning Algorithm. - Md. Kowsher; Anik Tahabilder; Saydul Akbar Murad (ICCCM, 2020)

Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms. - Apurba Adhikary; Saydul Akbar Murad; Md. Shirajum Munir; Choong Seon Hong (ICOIN, 2022)

Impact Learning: A Learning Method from Features Impact and Competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (CoRR, 2022)

AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach. - Saydul Akbar Murad; Apurba Adhikary; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; Md. Ashikur Rahman Khan; Md. Bipul Hossain; Anupam Kumar Bairagi; Mehedi Masud; Md. Kowsher (Intell. Autom. Soft Comput., 2022)

A review on job scheduling technique in cloud computing and priority rule based intelligent framework. - Saydul Akbar Murad; Abu Jafar Md Muzahid; Zafril Rizal M. Azmi; Md Imdadul Hoque; Md. Kowsher (J. King Saud Univ. Comput. Inf. Sci., 2022)

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. - Nusrat Jahan Prottasha; Abdullah As Sami; Md. Kowsher; Saydul Akbar Murad; Anupam Kumar Bairagi; Mehedi Masud; Mohammed Baz (Sensors, 2022)

Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Faria Jerin Brishti; Md Saib; Anupam Kumar Bairagi (ICSECS, 2023)

Secure and Scalable Permissioned Blockchain using LDE-P2P Networks. - Saydul Akbar Murad; Nick Rahimi (IOTSMS, 2023)

Impact learning: A learning method from feature's impact and competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (J. Comput. Sci., 2023)

An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms. - Md. Bipul Hossain; Anika Shama; Apurba Adhikary; Avi Deb Raha; K. M. Aslam Uddin; Mohammad Amzad Hossain; Imtia Islam; Saydul Akbar Murad; Md. Shirajum Munir; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2023)

Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection. - K. M. Aslam Uddin; Farida Siddiqi Prity; Maisha Tasnim; Sumiya Nur Jannat; Mohammad Omar Faruk; Jahirul Islam; Saydul Akbar Murad; Apurba Adhikary; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2023)

MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models. - Fatema Jannat Dihan; Saydul Akbar Murad; Abu Jafar Md Muzahid; K. M. Aslam Uddin; Mohammed J. F. Alenazi; Anupam Kumar Bairagi; Sujit Biswas (CoRR, 2024)

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery. - Ashim Dahal; Saydul Akbar Murad; Nick Rahimi (CoRR, 2024)

SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; MD. Khairul Bashar Bhuiyan; Md Saib; Nick Rahimi; Nusrat Jahan Prottasha; Anupam Kumar Bairagi (Future Gener. Comput. Syst., 2024)

Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; M. Saef Ullah Miah; MD. Khairul Bashar Bhuiyan; Nick Rahimi; Anupam Kumar Bairagi (Sustain. Comput. Informatics Syst., 2024)

Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT. - Saydul Akbar Murad; Nick Rahimi (IEEE Internet Things J., 2024)

Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM's Representation Learning. - Ashim Dahal; Saydul Akbar Murad; Nick Rahimi (CVPR Workshops, 2025)

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification. - Ashim Dahal; Saydul Akbar Murad; Nick Rahimi (CoRR, 2025)

Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis. - Saydul Akbar Murad; Ashim Dahal; Nick Rahimi (CoRR, 2025)

Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding Into Text. - Saydul Akbar Murad; Nick Rahimi (IEEE Trans. Cogn. Dev. Syst., 2025)

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity. - Saydul Akbar Murad; Ashim Dahal; Nick Rahimi (CoRR, 2025)

Redemption Score: An Evaluation Framework to Rank Image Captions While Redeeming Image Semantics and Language Pragmatics. - Ashim Dahal; Ankit Ghimire; Saydul Akbar Murad; Nick Rahimi (CoRR, 2025)

Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model. - Farida Siddiqi Prity; Mirza Raquib; Saydul Akbar Murad; Md. Jubayar Alam Rafi; MD. Khairul Bashar Bhuiyan; Anupam Kumar Bairagi (CoRR, 2025)

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency. - Ashim Dahal; Ankit Ghimire; Saydul Akbar Murad; Nick Rahimi (CoRR, 2025)

PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection. - Mirza Raquib; Niloy Das; Farida Siddiqi Prity; Arafath Al Fahim; Saydul Akbar Murad; Mohammad Amzad Hossain; MD Jiabul Hoque; Mohammad Ali Moni (CoRR, 2025)