Research

My research spans computational pathology, spatial transcriptomics, multimodal learning and model merging. Before computational medicine, I worked on affective AI and natural language processing. The common thread is multi-modality — improving the way we fuse, comprehend and explain the nuanced behaviour of deep computational models.

Towards AST-LLDs for the Analysis of Depression in Speech Signals

Sidharrth Nagappan*, Chern Hong Lim, Anuja Thimali Dharmaratne

APSIPA ASC 2023 · Taiwan

Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images

Sidharrth Nagappan*, Jia Qi Tan*, Lai-Kuan Wong, John See

IEEE ICIP 2023 · Kuala Lumpur

Hybrid Deep Neural Networks for Industrial Text Scoring

Sidharrth Nagappan*, Hui-Ngo Goh, Amy Hui-Lan Lim

IEA/AIE 2022 · Kitakyushu, Japan