All Projects
Transforming Research into Real-World Impact
Innovative AI Solutions Across Multiple Domains
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Completed
DepTformer-XAI-SV
2025Trustworthy & Calibrated AI
- Problem + modality
- Depression emotion and severity classification from multimodal patient signals.
- Core method
- Reproducible explainable transformer pipeline with systematic ablations and a minimal Flask demo.
- Evaluation emphasis
- XAI faithfulness checks and reproducibility benchmarks (research use only).
PyTorchPythonFlaskDocker
Completed
Explainable Lung Cancer Diagnosis
2025Explainable Medical Image Intelligence
- Problem + modality
- Lung cancer diagnosis from CT scans and histopathology images.
- Core method
- Lightweight hybrid CNN–Transformer (MobileViT + CBAM attention + texture cues).
- Evaluation emphasis
- Grad-CAM explainability and robust cross-modality evaluation.
PyTorchMobileViTCBAMGrad-CAM
Completed
Multimodal Information Fusion
2025Multimodal Vision–Language Foundation Models
- Problem + modality
- Audio-visual object recognition from paired sound and image inputs.
- Core method
- Modular pipeline with hybrid, tensor, and FiLM-style fusion and flexible feature extraction.
- Evaluation emphasis
- Noise-robust training and fusion-strategy ablations.
PythonFiLM FusionXceptionxLSTM
Completed
CottonVerse
2025Efficient Hybrid Transformers for Edge Deployment
- Problem + modality
- Cotton leaf disease, fabric stain defects, and fabric composition from field and lab images.
- Core method
- Flask web application with efficient hybrid transformers and Grad-CAM overlays.
- Evaluation emphasis
- Probability calibration charts and visual explanation quality.
FlaskPyTorchtimmpytorch-grad-cam
Completed
SoyScan
2025Decision Support & Human-in-the-Loop AI
- Problem + modality
- Soybean leaf and seed disease classification from field-captured images.
- Core method
- MaxViT-based classifier with Grad-CAM heatmaps in a screening-oriented web app.
- Evaluation emphasis
- Probability visualization and practical workflow validation.
MaxViTFlaskPyTorchGrad-CAM
In Progress
Calibrated Multimodal Radiology Copilot
2026Clinical Decision Support & Human-in-the-Loop AI
- Problem + modality
- Clinical triage and reporting from medical images, radiology notes, and structured signals.
- Core method
- Risk-aware multimodal fusion pipeline with LLM-assisted structured outputs.
- Evaluation emphasis
- Uncertainty calibration and evidence-grounded output validation.
PyTorchTransformersLLM WorkflowsUncertainty Calibration
In Progress
Cross-Hospital Generalization
2026Robust Learning Under Domain Shift
- Problem + modality
- Medical AI reliability across hospitals, scanners, and patient subgroups.
- Core method
- Standardized cross-site evaluation suite with domain-shift testing protocols.
- Evaluation emphasis
- Fairness slices and reproducible robustness reporting.
PythonPyTorchBenchmarkingFairness & Robustness
In Progress
Safe-to-Use Gatekeeper
2026Trustworthy & Calibrated AI
- Problem + modality
- High-stakes clinical cases with uncertainty, out-of-distribution inputs, or artifact corruption.
- Core method
- Safety layer with abstention policies, selective prediction, and human-review deferral.
- Evaluation emphasis
- Coverage–risk analysis and calibration under abstention.
PyTorchOOD DetectionSelective PredictionCalibration
In Progress
Clinically Meaningful Explainability Suite
2026Explainable Medical Image Intelligence
- Problem + modality
- Clinician-facing explanation needs for medical image predictions.
- Core method
- Concept-based explanations, counterfactual evidence, and faithfulness checks.
- Evaluation emphasis
- Explanation report cards and faithfulness metrics beyond heatmaps.
Grad-CAMAttention AnalysisConcept ExplanationsFaithfulness Metrics
In Progress
Evidence-Grounded LLM Assistant
2026Vision + Language for Healthcare
- Problem + modality
- Structured clinical summary drafting from verified model outputs, metadata, and templates.
- Core method
- Safety-first LLM workflow with RAG and approved reporting templates.
- Evaluation emphasis
- Confidence-aware refusal and traceable citation audits.
LLM WorkflowsRAGStructured ReportingSafety Guardrails
Planned
Federated Medical Foundation Model
2026Trustworthy & Calibrated AI
- Problem + modality
- Cross-institution medical imaging without centralizing patient data.
- Core method
- Federated optimization with secure aggregation and differential privacy.
- Evaluation emphasis
- Calibration under client shift and cross-site robustness.
PyTorchFederated LearningDifferential PrivacySecure Aggregation
Planned
Longitudinal Disease Progression Forecasting
2026Clinical Decision Support & Human-in-the-Loop AI
- Problem + modality
- Disease progression and time-to-event outcomes from serial medical scans.
- Core method
- Transformer-based temporal risk modeling with survival analysis.
- Evaluation emphasis
- Calibrated risk curves and uncertainty-aware follow-up timelines.
TransformersTime-Series ModelingSurvival AnalysisUncertainty Estimation