Research
My current research falls at the intersection of computational pathology, spatial transcriptomics, multimodal learning and model merging. Before computational medicine, I worked on affective artifical intelligence and natural language processing. The common thread has always been multi-modality and 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
In Proceedings of The 15th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, Taiwan, 2023
Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images
Sidharrth Nagappan*, Jia Qi Tan*, Lai-Kuan Wong, John See
In Proceedings of The 30th International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023
Hybrid Deep Neural Networks for Industrial Text Scoring
Sidharrth Nagappan*, Hui-Ngo Goh, Amy Hui-Lan Lim
In Proceedings of The 35th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Kitakyushu, Japan, 2022