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RESEARCH

What I've Explored.

3+ Published Research Papers (2 Q1 SCIE + 1 IEEE) Spanning Explainable AI, Geoscience, Medical Diagnostics, and Neurological Analytics.

Q1 SCIEQ1 SCIE Journal

OreTraceQ: Explainable AI + RAG for Mineral Prospectivity Mapping

#1
Danish A G

Explainable geoscience AI system for mineral prospectivity mapping across the Dharwar Craton. Combines LightGBM with SHAP interpretability and Retrieval-Augmented Generation (RAG) to produce transparent, geologically grounded predictions from multi-source geological datasets.

Explainable AILightGBMSHAPRAGMineral ProspectivityGeoscienceOptunaSMOTE
Q1 SCIEInternational Journal of Biological MacromoleculesIJBIOMAC-D-26-03897

Design and Implementation of Breathanalyzer for Invasive Diagnosis of Tuberculosis

#2
Danish A G(Corresponding: Dr. Pachaivannan Partheeban)

Hardware-software diagnostic system for non-invasive tuberculosis detection via exhaled breath biomarkers. Published in a top-tier Q1 SCIE journal focused on biological macromolecules and biomedical instrumentation.

TuberculosisBreathalyzerBiomarkersNon-invasive DiagnosticsBiological MacromoleculesMedical Device
IEEEIEEE ICDSAAI 2026

Explainability First Parkinson’s Analytics: SHAP Driven Attributions from Telemonitoring and Voice Signals

#3
Susan Mano Derry VDr. Samuthra Pandi VDanish A G
ICDSAAI 2026|26–28 March 2026|Chennai

Explainable AI framework for Parkinson’s disease analytics using SHAP-driven feature attributions derived from telemonitoring sensor data and voice signal biomarkers. Focuses on decision path visualization for clinical interpretability.

Explainable AISHAPParkinson’s DiseaseTelemonitoringVoice BiomarkersDecision Path Visualization

Research Methods & Tools

ML / AI

LightGBMSHAPOptunaSMOTEScikit-learn

NLP / RAG

RAG PipelineLangChainVector DBGSI Reports

Domains

GeoscienceMedicalNeurologyQuantum

QUANTUM FRONTIER

Beyond Classical Limits.

Research Explorations at the Centre for Quantum Science and Technology (CQST), CIT -- Bridging Quantum Mechanics With Applied AI.

Q-ML

Quantum ML

Investigating hybrid quantum-classical models for accelerated training and inference on parameterised quantum circuits.

CQST · CIT
Q-CR

Quantum Cryptography

Exploring quantum key distribution (QKD) protocols and post-quantum cryptographic primitives for secure communications.

CQST · CIT
Q-OP

Quantum Optimization

Applying variational quantum eigensolvers (VQE) and QAOA to combinatorial optimisation problems intractable for classical hardware.

CQST · CIT
CQST

Centre for Quantum Science and Technology

Coimbatore Institute of Technology (CIT) -- Exploring the intersection of quantum computing and artificial intelligence through hands-on research and experimentation.

QuantumAIActive
V1Read the full academic background & research journey on the legacy portfolio→