Research

papers across machine learning, mathematics, biology, and quantum computing.

Optimization
Saddle Escape Efficiency: Introducing a Novel Metric and Revealing Its Criterion-Dependence in Non-Convex Landscapes
Accepted to IEEE INDISCON 2026 and ICCAI 2026
Computational Biology
InterpretableSELFFormer: Biologically Validated Gene Importance for Spatial Transcriptomics Reconstruction from scRNA-seq
Accepted at IEEE iCGNIS 2026 (full paper) and IEEE CIBCB (short paper)
Computational Biology
Why Do Single-Cell Foundation Models Lose to the Mean? A Diagnostic Study of Perturbation Prediction Failure Modes
Accepted at IEEE CIBCB 2026 (short paper)
Machine Learning Theory
Detecting Distributional Shift via Local Neuron Activation Rates
Young Asians Conference, Singapore · 3rd place STEM track
Artificial Intelligence
Multimodal Deep Learning for Breast Cancer Subtype Classification Using Histopathology and Biomarker Data
Accepted to IEEE ICEC2NT 2026
Artificial Intelligence
Kaan: Acoustic Grain Pest Detection Without Dedicated Hardware
Indigo IRIS Research Program, mentored by Dr. Eric Sakk
Artificial Intelligence
Do Foundation Models Outperform Lightweight CNNs in Breast Cancer Histopathology Classification?
Published in IJFMR Volume 8, Issue 3
Quantum Computing
Entanglement Entropy Scaling and Matrix Product States Simulability of Quantum Algorithms
Presented at BeyondQuantum Research Fair 2026
Mathematics
Analysing the Riemann Hypothesis and the Approach to Solve It Through Zeta Function Analysis and Quantum-Inspired Random Matrix Theory
Published, One Young India
Mathematics
How Close Can a Chromatic Root Get to One?
Euler Circle IRPW · Online Repository and Expositio