A. Azad, Saima Shahid, Nasimul Noman, Hyunju Lee, "Prediction of plant promoters based on hexamers and random triplet pair analysis." Algorithms for Molecular Biology, 2011.
A. Azad, Hyunju Lee, "Voting-based cancer module identification by combining topological and data-driven properties." PloS one, 2013.
A. Azad, Alfons Lawen, Jonathan Keith, "Prediction of signaling cross-talks contributing to acquired drug resistance in breast cancer cells by Bayesian statistical modeling." BMC Systems Biology, 2015.
Salem Alyami, A. Azad, Jonathan Keith, "Uniform Sampling of Directed and Undirected Graphs Conditional on Vertex Connectivity." Electronic Notes in Discrete Mathematics, 2016.
A. Azad, Alfons Lawen, Jonathan Keith, "Bayesian model of signal rewiring reveals mechanisms of gene dysregulation in acquired drug resistance in breast cancer." PloS one, 2017.
A. Azad, Salem Alyami, Jonathan Keith, "BNMCMC: a software for learning and visualizing Bayesian networks using MCMC methods." bioRxiv, 2018.
A. Azad, "KPGminer: A tool for retrieving pathway genes from KEGG pathway database." bioRxiv, 2018.
A. Azad, "XTalkiiS: a tool for finding data-driven cross-talks between intra-/inter-species pathways." BioRxiv, 2018.
A. Azad, Fatemeh Vafaee, "Single cell data explosion: Deep learning to the rescue." arXiv, 2019.
Taha Rashidi, Siroos Shahriari, A. Azad, Fatemeh Vafaee, "Real-time time-series modelling for prediction of COVID-19 spread and intervention assessment." Scientific Reports, Nature publishing Group - Revision (Under Revision), 2020.
A Azad, Mojdeh Dinarvand, Alireza Nematollahi, Joshua Swift, Louise Lutze-Mann, Fatemeh Vafaee, "A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond." Briefings in Bioinformatics, 2020.
Partha Chakraborty, Sabbir Ahmed, Mohammad Yousuf, Akm Azad, Salem Alyami, Mohammad Moni, "A Human-Robot Interaction System Calculating Visual Focus of Human's Attention Level." IEEE Access, 2021.
Md Rashed-Al-Mahfuz, Abedul Haque, AKM Azad, Salem Alyami, Julian Quinn, Mohammad Moni, "Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening." IEEE Journal of Translational Engineering in Health & Medicine, 2021.
Md. Satu, Khair Ahammed, Mohammad Abedin, Md. Rahaman, Sheikh Islam, AKM Azad, Mohammad Moni, "Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-ray Images." Machine Learning with Applications - Submitted, 2021.
Utpala Chowdhury, Md. Faruqe, Md Mehedy, Shamim Ahmad, M. Islam, AKM Azad, Mohammad Moni, "Effects of Bacille Calmette Guerin (BCG) Vaccination during COVID-19 Infection." Computers in Biology and Medicine, 2021.
Md. Islam, Mohammad Moni, Md. Islam, Md. Rashed-Al-Mahfuz, Md. Islam, Md. Hasan, Md. Hossain, Mohiuddin Ahmad, Shahadat Uddin, AKM Azad, Salem Alyami, Md Ahad, Pietro Lio, "Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques." IEEE Access, 2021.
Tania Akter, Md. Khan, Md. Satu, Mohammad Ali, Md. Uddin, AKM Azad, Salem Alyami, Sarwar Ali, Mohammad Moni, "Improved Transfer Learning-based Face Recognition Model to Detect Autistic Children at an Early Stage." Brain Sciences, 2021.
Sakifa Aktar, Md Ahamad, Md Rashed-Al-Mahfuz, AKM Azad, Shahadat Uddin, AHM Kamal, Salem Alyami, Ping-l Lin, Sheikh Islam, Julian Quinn, Valsamma Eapen, Mohammad Moni, "Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development." JMIR Medical Informatics, 2021.
Md. Islam, Md. Islam, Md Islam, Md. Rahman, Md Mamun, AKM Azad, Mohammad Moni, "Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with Cancers." Journal of Personalized Medicine - Submitted, 2021.
AKM Azad, Salem Alyami, "Discovering novel cancer bio-markers in acquired lapatinib resistance using Bayesian methods." Briefings in Bioinformatics, 2021.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
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