Present Research Projects

Our lab is currently advancing the frontiers of cybersecurity across critical domains. From safeguarding agriculture and healthcare systems to optimizing workforce development and cognitive systems, our projects focus on real-world impact through interdisciplinary collaboration.

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Cybersecurity & Risk Management

Highlights:

• Cyber Value-at-Risk (CVaR) for IoT/finance
• Zero Trust & ransomware risks in Transportation 5.0
• Cybersecurity education (K–12, STEM, DHS CREWS)

Representative papers / programs:

• Hossain et al., ACM SIGMIS-CPR 2024 — CVaR in Cybersecurity
• Minority Cyber-CREWS (DHS, 2023–2027) — workforce development
• PERFECT project (ONR, 2021- 2025) — K12 Cybersecurity Instruction and Awareness

Team: Lead: Dr. Gahangir Hossain; Students: Prashant Vaspyee, Yara Salman, Bryan Anderson, Mary Nusrat, Tayiba Raheem

AI & Machine Learning Applications

Highlights:

• Recommender systems (KNN, ALS, NMF, GNN)
• NLP for abusive content & automated fact-checking
• Transfer learning for biometrics (iris liveness)

Representative papers / programs:

• AI-based Recommenders — model-based CF & ensembles
• Cross-lingual abuse detection & fact-checking

Team: Lead: Dr. Gahangir Hossain; Students: Mary Nusrat, Yahya Awaad, Prashant Vajpyee

Smart Cyberinfrastructures: Agriculture 5.0, Healthcare 5.0 & Transportation 5.0

Highlights:

• Automated weed detection & removal (paddy fields)
• Digital Twin security for smart farming
• Fuzzy Cognitive Mapping for farmer resilience

Representative papers / programs:

• Weed prediction and removal in Agriculture 5.0
• Digital Twin-based cyber monitoring for farms

Team: Lead: Dr. Gahangir Hossain; Collaborator: Dr. Kossi Bishadu, Students: Salleh Sonko, Pavani Velagala

HCI & Healthcare Assistive Technology

Highlights:

• Cyber risks in BYOD & wearables
• Smart home monitoring (diabetes, hypertension)
• LLM assistants for dementia care

Representative papers / programs:

• Graph-based risk for clinical wearables
• ChatGPT as cognitive support in care ecosystems

Team: Lead: Dr. Gahangir Hossain; Students: Pavani Velagala, Mary Nusrat, Yahya Awaad

Cognitive & Brain Informatics

Highlights:

• EEG & pupillary dynamics for cognitive load
• BCIs and seizure prediction
• Adaptive assistive interfaces

Representative papers / programs:

• Cognitive effort via pupil/EEG
• Learning-based stress analysis (IEEE Access, 2025)

Team: Lead: Dr. Gahangir Hossain; Students: Salleh Sonko, Tayiba Raheem