Mashrura Tasnim, PhD
Pronouns: She/her
Contact
ATS Associate Lecturer, Faculty of Science - Computing Science
- mashrura@ualberta.ca
Overview
Area of Study / Keywords
Artificial Intelligence Computational Psychiatry Speech Analysis Mental and Cognitive Health
About
I am an Associate Lecturer in Computing Science at the University of Alberta, where I also completed my PhD in 2024. My research focuses on using machine learning to support mental health and healthy aging. During my doctoral work, I developed methods for extracting acoustic and linguistic biomarkers from speech to better understand depression, anxiety, and stress. I am interested in speech and language processing, computational biomarkers, and applying AI in healthcare in a responsible and culturally sensitive way.
At the College of Natural and Applied Sciences (CNAS), I contribute to curriculum development and support students in data science and AI courses. I focus on providing practical, hands-on experiences to help students understand and apply technical concepts.
Through my research and teaching, I hope to make a meaningful contribution to both academic knowledge and real-world applications of AI, particularly in supporting mental and cognitive wellbeing.
Featured Publications
Celeste, J. Jr, Tasnim, M., Valdés Cuervo, A. J., de la Cal, E. A., Stroulia, E.
Frontiers in Psychiatry. 2025 January; 10.3389/fpsyt.2025.1451368
Depac: a corpus for depression and anxiety detection from speech
Tasnim, Mashrura, Ehghaghi, Malikeh, Diep, Brian, Novikova, Jekaterina
arXiv preprint arXiv:2306.12443. 2023 January;
Exploring language-agnostic speech representations using domain knowledge for detecting Alzheimer’s dementia
Shah, Zehra, Qi, Shi-Ang, Wang, Fei, Farrokh, Mahtab, Tasnim, Mashrura, Stroulia, Eleni, Greiner, Russell, Plitsis, Manos, Katsamanis, Athanasios
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023 January;
Cost-effective models for detecting depression from speech
Tasnim, Mashrura, Novikova, Jekaterina
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA). 2022 January;
Learning language and acoustic models for identifying Alzheimer’s dementia from speech
Shah, Zehra, Sawalha, Jeffrey, Tasnim, Mashrura, Qi, Shi-ang, Stroulia, Eleni, Greiner, Russell
Frontiers in Computer Science. 2021 January;
Detecting depression from voice
Tasnim, Mashrura, Stroulia, Eleni
Canadian Conference on Artificial Intelligence. 2019 January;
Intelligent depression detection and support system: statistical analysis, psychological review and design implication
Tasnim, Mashrura, Shahriyar, Rifat, Nahar, Nowshin, Mahmud, Hossain
2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). 2016 January;
The coverage problem in visual sensor networks: A target oriented approach
Zannat, Hafsa, Akter, Taslima, Tasnim, Mashrura, Rahman, Ashikur
Journal of Network and Computer Applications. 2016 January;
Social Media Question Asking: A Developing Country Perspective
Ferdous, Hasan Shahid, Tasnim, Mashrura, Ahmed, Saif, Anik, Md Tanvir Alam
Recommendation and Search in Social Networks. 2015 January;
Towards ubiquitous learning tools for computer aided classroom in developing regions
Tasnim, Mashrura, Zaman, Farhana, Ferdous, Hasan Shahid, Galib, Sharif M Saad
16th Int'l Conf. Computer and Information Technology. 2014 January;
SNS search in developing countries: linking the people to end digital division in information retrieval
Ferdous, Hasan Shahid, Ahmed, Saif, Anik, Md Tanvir Alam, Tasnim, Mashrura
2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks. 2013 January;
Statistical analysis and implications of SNS search in under-developed countries
Ahmed, Saif, Anik, Md Tanvir Alam, Tasnim, Mashrura, Ferdous, Hasan Shahid
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration. 2013 January;
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