Anjali Thakur
Teaching Associate
Anjali Thakur is a teaching associate at the Yogananda School of AI, Computer, and Data Science. Her research focuses on the integration of multimodal data using deep learning techniques for the diagnosis and severity classification of Obstructive Sleep Apnea.
As part of her academic journey, she was selected as a Research Intern at the Applied AI Research Lab, University of South Dakota (USA), where she gained valuable international research exposure and worked on advanced AI-driven solutions. This experience significantly strengthened her expertise in applied artificial intelligence and interdisciplinary research.
Her research interests lie in artificial intelligence, deep learning, healthcare analytics, and multimodal data fusion. Alongside her research, Anjali has experience teaching and mentoring students from interdisciplinary backgrounds, including biotechnology and computer science. She is passionate about simplifying complex technical concepts and promoting analytical thinking among students.
Publications
- Thakur, A., Gaurav, G., Mahida, A., Saini, C., & Bhalla, J. (2025, April). “The Bidirectional Cycle of Obesity and Obstructive Sleep Apnea” In 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1-4). IEEE. Doi : https://doi.org/10.23919/INDIACom66777.2025.11115760
- Thakur, A., & Gupta, G. “Advances in health informatics for obstructive sleep apnea diagnosis and management.” doi : https://doi.org/10.1049/PBHE066E_ch5
- Chataut, S, Thakur, A., Wang, L. (2024, December).” in International Conference on DATA ANALYTICS & LEARNING (pp. 209-220). Singapore: Springer Nature Singapore. “Shape-Aware Thoracic Edge Map Chest X-Ray Representation for Pulmonary Abnormality Screening. Doi :
- Pedewad, S., Thakur, A., Chintale, P., Gupta, G., Perumal, A. P., & Gochhait, S. (2024, August) “The Revolution of Customer Experience: Embracing the Digital Realm” In International Conference on ICT for Sustainable Development (pp. 117-128). Singapore: Springer Nature Singapore.
- Solomon, D. D., Arora, M., Vanipriya, C. H., Thakur, A., & Sharma, N. (2024, February). “Edge Computing empowered Cross-Platform Tool for Multifactorial Disorder Risk Assessment”. In 2024 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1798-1803). IEEE.
- Patent: “IoT Based Neonatal Radiant Warmer for Intensive Care Unit”. (Application No. 416422-001, CBR No. 207944)
Accepted Papers
- Emotion AI – Challenges and Future Direction Accepted in Springer Nature book entitled Emotion and Facial Recognition in Artificial Intelligence: Sustainable Multidisciplinary Perspectives and Applications. (Scopus Indexed)
- Edge Computing for Real-Time Health Monitoring of Obstructive Sleep Apnea accepted in Leveraging Edge Computing, Low-Power Networks, and Privacy-Preserving AI for Inclusive Health Systems. (Scopus Indexed)
Contact Details:
Email: anjalithakur@shooliniuniversity.com
LinkedIn profile: www.linkedin.com/in/anjali-thakur-5422b9311
Google Scholar profile: https://scholar.google.com/citations?user=oF2rWRIAAAAJ&hl=en