معرفی
Subramanian Ramanathan is a researcher at the School of Computing, National College of Ireland, specializing in affective computing, multimodal behavior analysis, and human-computer interaction. His work spans machine learning, computer vision, and neuro-signal processing.
- Key research areas: Affective Computing, Deep Learning, Stress Detection, Depression Biomarkers
- Notable collaborations: Roland Göcke, Abhinav Dhall, Nicu Sebe
His publications focus on:
- EEG-based cognitive load estimation
- Head motion pattern analysis for mental health
- Deepfake detection systems
- Audio-visual saliency prediction
- Transformers in behavioral modeling
- Stress detection via multimodal fusion
Recent work includes medical imaging applications for autism detection and computational advertising systems using emotion recognition. He contributes to open science through dataset creation (SALSA, DECAF) and collaborative research in affective computing.
حوزههای پژوهشی
Affective ComputingMachine LearningHuman-Computer InteractionComputer VisionMultimedia AnalyticsGender and Emotion RecognitionStress DetectionDepression BiomarkersAudio-Visual Saliency PredictionData SonificationMultimodal Behavior AnalysisTransformers in Machine LearningNeural NetworksEEG Signal ProcessingDeepfake Detection
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Ramanathan SubramanianUniversity of Canberra · دانشیار- ZZhixi CaiMonash University · پژوهشگر ارشد
Jacopo StaianoSwiss Federal Institute of Technology in Lausanne · استادیار- MMariëlle StoelingaUniversity of Trier · استاد
- MMichael GrossniklausUniversity of Trier · استاد
- GGeorge-Dan MironUniversity of Trier · پژوهشگر