Mohammad Masum

San Jose State University

Affiliations

College of Information, Data & Society

Department Of Applied Data Science

Mohammad Masum is a Senior Professor at San Jose State University. His research interests span machine learning, deep learning, data science, and computer security, with a particular focus on threat detection, information security, and the application of artificial intelligence to healthcare. His latest publications include HybridSense-LLM, a structured multimodal framework for wellness prediction from wearable sensors; HRIT, a human-readable framework for phishing URL detection using large language models; and clinically aligned long-context transformers for cross-platform mental health risk detection. He has also investigated sex-based and racial/ethnic disparities in cancer treatment and respiratory allergies, and developed agentic hallucination risk scoring for medical LLMs via uncertainty quantification.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mohammad Masum

San Jose State University

You can click a keyword to filter the displayed items

machine learning computer science deep learning data science computer security information security data security threat detection systems engineering artificial intelligence covid-19 machine learning research technology big data computational intelligence convolutional neural networks quantum computing intelligent computing biomedical informatics ransomware malware analysis transfer learning image classification software security knowledge extraction ransomware classification network intrusion detection mathematical optimization bayesian analysis evolutionary computation communicable diseases public health preparedness infection control communication security scientific computing biomedical analysis medicinal research quantum science abuse detection classification method infectious disease modelling computational epidemiology epidemiological dynamic intrusion detection systems botnet detection document processing feature learning quantum machine learning supervised learning disinformation detection pathway analysis cancer genomics medical genetics computational medicine computational genomics quantum security quantum algorithms case studies texture analysis cancer biology source code analysis aeronautics machine learning algorithms bayesian hyperparameter optimization quantum computing tools android malware detection comparative study mathematical epidemic model deep neural network texture-based cnn malicious url detection cancer survival outcomes multi-omics data integration cyber attacks detection parameterized quantum circuits lstmbased framework

Notable Scholarly Works

Notable Federal Grants

Collaborators

Agentic Hallucination Risk Scoring for Medical Llms via Uncertainty Quantification and Clinical Knowledge Injection. Algorithms (2026)

Clinically Aligned Long-Context Transformers for Cross-Platform Mental Health Risk Detection. Electronics (2026)

HRIT: A Human-Readable Framework for Phishing Url Detection Using Large Language Models. (2026)

Hybridsense-Llm: A Structured Multimodal Framework for Large-Language-Model–Based Wellness Prediction From Wearable Sensors With Contextual Self-Reports. Bioengineering (2026)

Racial/Ethnic Disparities in Environmental Respiratory Allergies Among Cancer Patients: National Health Interview Survey Analysis. Expert Review of Respiratory Medicine (2026)

asthmapublic healthair qualityhealth equityenvironmental health perspectiveepidemiologyenvironmental safetysocial determinants of healthpreventive medicineenvironmental healthrespiratory medicinechronic obstructive pulmonary diseaseallergylung microbiomepopulation healthindoor air qualitypediatric allergy

Sex-Based Disparities in Interval Time to Receipt of Surgical Treatment of Invasive Lung Cancer in Tennessee. Research Square (2026)

health services researchhealth policygynecologic oncologythoracic surgeryradiation oncologyhealth careaesthetic surgerysurgerysurgical oncologylung cancersurgical educationoutcomes researchgynecologic cancersthoracic oncologysurvival analysiscancer careoncology

Understanding Tradeoffs in Clinical Text Extraction: Prompting, Retrieval-Augmented Generation, and Supervised Learning on Electronic Health Records. Algorithms (2026)

A Multimodal Framework for Enhancing E-Commerce Information Management Using Vision Transformers and Large Language Models. International Journal of Information Management Data Insights (2025)

BARTNET: Context-Aware Deep Learning Framework for Bart Ridership Forecasting. (2025)

Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs. Electronics (2025)

medical image computingcomputer scienceconvolutional neural networksmachine learning modelsdeep learningbiosignal processingquantization trade-offsmachine learning researchblood pressuredata sciencedigital medicinemodel performancemachine learning