Research focus
NARXOZ UniversityАлмата
I research multimodal deep learning for mental-health assessment â detecting suicide risk, depression, and emotion from text, audio, and video using transformer ensembles and fine-tuned LLMs on real clinical and speech-emotion datasets.
NLP
Computer Vision
Deep Learning
Machine Learning
Multimodal models
Collaboration interests
Public collaboration signals submitted through this research profile.
Education
MSc student at SDU Kaskelen
Latest publications
A preview of approved public publications linked to this researcher.
- Open
Multimodal Deep Neural Network for Suicide Risk Classification Using Audio and Facial Features
Applied Mathematics & Information Sciences - 2026 - OpenAlex00 OpenAlex citations - Open
Automated Chunking of Clinical Video Interviews: A Case Study in Multimodal Suicide Risk Assessment
2026 IEEE Conference on Artificial Intelligence (CAI) - 2026 - OpenAlex00 OpenAlex citations - Open
The Automated Method of Collecting and Labeling Data for Speech Emotion Recognition based on Face Emotion Recognition
Applied Mathematics & Information Sciences - 2025 - OpenAlex01 OpenAlex citation - Open
COMPARISON OF MACHINE LEARNING AND REINFORCEMENT LEARNING FOR DEPRESSION RECOGNITION FROM SPEECH
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN - 2025 - OpenAlex00 OpenAlex citations - Open
DETECTION OF SUICIDAL TENDENCIES IN REDDIT POSTS USING MACHINE LEARNING
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN - 2025 - OpenAlex00 OpenAlex citations - Open
A REVIEW ON MACHINE LEARNING APPROACHES FOR THE DETECTION OF SUICIDAL TENDENCIES
World Science - 2024 - OpenAlex00 OpenAlex citations
Regional connection
Works on Kazakhstan datasets or problems
Based in Kazakhstan
From Kazakhstan
Studied in Kazakhstan
Collaborates with Kazakhstan institutions
DSML member