Automatic knowledge extraction from OCR documents using hierarchical document analysis. - Mohammad Masum; Sai Kosaraju; Tanju Bayramoglu; Girish Modgil; Mingon Kang (RACS, 2018)

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. - Nelson Zange Tsaku; Sai Chandra Kosaraju; Tasmia Aqila; Mohammad Masum; Dae Hyun Song; Ananda Mohan Mondal; Hyun Min Koh; Mingon Kang (BIBM, 2019)

Droid-NNet: Deep Learning Neural Network for Android Malware Detection. - Mohammad Masum; Hossain Shahriar (IEEE BigData, 2019)

DoT-Net: Document Layout Classification Using Texture-Based CNN. - Sai Chandra Kosaraju; Mohammad Masum; Nelson Zange Tsaku; Pritesh Patel; Tanju Bayramoglu; Girish Modgil; Mingon Kang (ICDAR, 2019)

Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. - Jie Hao; Mohammad Masum; Jung Hun Oh; Mingon Kang (ISBRA, 2019)

Cyber Fraud Prediction with Supervised Machine Learning Techniques. - Zhoulin Li; Hao Zhang 093; Mohammad Masum; Hossain Shahriar; Hisham Haddad (ACM Southeast Regional Conference, 2020)

r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework. - Mohammad Masum; Hossain Shahriar; Hisham M. Haddad; Md. Shafiul Alam (IEEE BigData, 2020)

Actionable Knowledge Extraction Framework for COVID-19. - Mohammad Masum; Hossain Shahriar; Hisham M. Haddad; Sheikh Iqbal Ahamed; Sweta Sneha; Mohammad Ashiqur Rahman; Alfredo Cuzzocrea (IEEE BigData, 2020)

Analysis of Sampling Techniques Towards Epileptic Seizure Detection from Imbalanced Dataset. - Mohammad Masum; Hossain Shahriar; Hisham Haddad (COMPSAC, 2020)

Epileptic Seizure Detection for Imbalanced Datasets Using an Integrated Machine Learning Approach. - Mohammad Masum; Hossain Shahriar; Hisham M. Haddad (EMBC, 2020)

TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection. - Mohammad Masum; Hossain Shahriar (ICITST, 2020)

Malicious URL Detection Using Supervised Machine Learning Techniques. - Vara Vundavalli; Farhat Lamia Barsha; Mohammad Masum; Hossain Shahriar; Hisham Haddad (SIN, 2020)

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. - Mohammad Masum; Hossain Shahriar; Hisham Haddad; Md. Jobair Hossain Faruk; Maria Valero; Md Abdullah Khan; Mohammad Ashiqur Rahman; Muhaiminul I. Adnan; Alfredo Cuzzocrea; Fan Wu 013 (IEEE BigData, 2021)

A Statistical Summary Analysis of Window-Based Extracted Features for EEG Signal Classification. - Mohammad Masum; Hossain Shahriar; Hisham M. Haddad; WenZhan Song 001 (ICDH, 2021)

Smart Connected Aircraft: Towards Security, Privacy, and Ethical Hacking. - Md. Jobair Hossain Faruk; Paul Miner; Ryan Coughlan; Mohammad Masum; Hossain Shahriar; Victor Clincy; Coskun Cetinkaya (SIN, 2021)

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Nazmus Sakib; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (IEEE Big Data, 2022)

A Novel Machine Learning Based Framework for Bridge Condition Analysis. - Mohammad Masum; Nafisa Anjum; Md. Jobair Hossain Faruk; Hossain Shahriar; Nazmus Sakib; Maria Valero; Mohammed Karim; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (IEEE Big Data, 2022)

Ransomware Classification and Detection With Machine Learning Algorithms. - Mohammad Masum; Md. Jobair Hossain Faruk; Hossain Shahriar; Kai Qian; Dan Lo 001; Muhaiminul Islam Adnan (CCWC, 2022)

Authentic Learning of Machine Learning to Ransomware Detection and Prevention. - Md. Jobair Hossain Faruk; Mohammad Masum; Hossain Shahriar; Kai Qian; Dan Lo 001 (COMPSAC, 2022)

Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? - Mohammad Masum; Mohammad Nazim; Md. Jobair Hossain Faruk; Hossain Shahriar; Maria Valero; Md Abdullah Hafiz Khan; Gias Uddin 001; Shabir Barzanjeh; Erhan Saglamyurek; Akond Rahman; Sheikh Iqbal Ahamed (COMPSAC, 2022)

Scalable Machine Learning Using PySpark. - Mohammad Masum; Hossain Shahriar; Nazmus Sakib; Maria Valero; Kai Qian; Dan Lo 001; Fan Wu 013; Mohammed Karim; Parth Bhavsar; Jidong Yang (COMPSAC, 2022)

Systematic Analysis of Deep Learning Model for Vulnerable Code Detection. - Mohammad Taneem Bin Nazim; Md. Jobair Hossain Faruk; Hossain Shahriar; Md Abdullah Khan; Mohammad Masum; Nazmus Sakib; Fan Wu 013 (COMPSAC, 2022)

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. - Paramita Basak Upama; Md. Jobair Hossain Faruk; Mohammad Nazim; Mohammad Masum; Hossain Shahriar; Gias Uddin 001; Shabir Barzanjeh; Sheikh Iqbal Ahamed; Akond Rahman (COMPSAC, 2022)

A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. - Md. Jobair Hossain Faruk; Shashank Trivedi; Mohammad Masum; Maria Valero; Hossain Shahriar; Sheikh Iqbal Ahamed (ICHI, 2022)

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. - Mohammad Masum; Hossain Shahriar; Hisham Haddad; Md. Jobair Hossain Faruk; Maria Valero; Md Abdullah Khan; Mohammad Ashiqur Rahman; Muhaiminul I. Adnan; Alfredo Cuzzocrea (CoRR, 2022)

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. - Mst. Shapna Akter; Md. Jobair Hossain Faruk; Nafisa Anjum; Mohammad Masum; Hossain Shahriar; Akond Rahman; Fan Wu 013; Alfredo Cuzzocrea (CoRR, 2023)

TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained Devices. - Sonali Arcot; Mohammad Masum; Mohammad Shahidul Kader; Agnik Saha; Mohammed Chowdhury (IEEE Big Data, 2024)

CMI: Cluster-Centric Missing Value Imputation with Feature Consistency. - Megha Gupta; Shripal Shah; Mohammad Masum; Sai Chandra Kosaraju (CCWC, 2024)

ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction. - Priyanka Bhyregowda; Mohammad Masum; Lohuwa Mamudu; Mohammed Chowdhury; Sai Chandra Kosaraiu; Hossain Shahriar (COMPSAC, 2024)

Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers. - Md. Abdur Rahman 003; Mst. Shapna Akter; Emily Miller; Bogdan Timofti; Hossain Shahriar; Mohammad Masum; Fan Wu 013 (COMPSAC, 2024)

E-SMOTE: Entropy Based Minority Oversampling for Heart Failure and AIDS Clinical Trails Analysis. - Sainath Veerla; Anbu Valluvan Devadasan; Mohammad Masum; Mohammed Chowdhury; Hossain Shahriar (COMPSAC, 2024)

The State of Lithium-Ion Battery Health Prognostics in the CPS Era. - Gaurav Shinde; Rohan Mohapatra; Pooja Krishan; Harish Garg; Srikanth Prabhu; Sanchari Das; Mohammad Masum; Saptarshi Sengupta (CoRR, 2024)

Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis. - Agnik Saha; Mohammad Shahidul Kader; Mohammad Masum (CoRR, 2024)

Genie: Enhancing information management in the restaurant industry through AI-powered chatbot. - Megha Gupta; Venkatasai Dheekonda; Mohammad Masum (Int. J. Inf. Manag. Data Insights, 2024)

A multimodal framework for enhancing E-commerce information management using vision transformers and large language models. - Anitha Balachandran; Mohammad Masum (Int. J. Inf. Manag. Data Insights, 2025)