Prof. Marina L. Gavrilova

University of Calgary, Canada

Email: [email protected]

Qualifications

1998  Ph.D., University of Calgary, Canada

1993  M.Sc. Lomonosov Moscow State University, Russia

Publications (Selected)

1. Dykstra, S., MacDonald, M., Beaudry, R., Labib, D., King, M., Gavrilova, M. L., ... & White, J. A. (2025). An institutional framework to support ethical fair and equitable artificial intelligence augmented care. npj Digital Medicine, 8(1), 84.
2. Dehghani, F., Dibaji, M., Anzum, F., Dey, L., Basdemir, A., Gavrilova, M. L., ... & Bento, M. (2024). Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. arXiv preprint arXiv:2408.15550.
3. Iffath, F., Dey, L., & Gavrilova, M. L. (2024, August). Enhancing Brain Tumor Diagnosis through Adaptive Feature Aggregation based Transfer Learning. In 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA) (pp. 1-6). IEEE.
4. Shopon, M., & Gavrilova, M. L. (2023, October). I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-Based Generative Adversarial Networks. In International Symposium on Visual Computing (pp. 417-430). Cham: Springer Nature Switzerland.
5. Gavrilova, M. L. (2023, July). Responsible artificial intelligence and bias mitigation in deep learning systems. In 2023 27th International Conference Information Visualisation (IV) (pp. 329-333). IEEE.
6. Wahid, Z., Bari, A. H., Anzum, F., & Gavrilova, M. L. (2023). Human micro-expression: A novel social behavioral biometric for person identification. IEEE Access, 11, 57481-57493.
7. Anzum, F., & Gavrilova, M. L. (2023). Emotion detection from micro-blogs using novel input representation. IEEE Access, 11, 19512-19522.
8. Gavrilova, M. L., Anzum, F., Hossain Bari, A. S. M., Bhatia, Y., Iffath, F., Ohi, Q., ... & Wahid, Z. (2022). A multifaceted role of biometrics in online security, privacy, and trustworthy decision making. In Breakthroughs in digital biometrics and forensics (pp. 303-324). Cham: Springer International Publishing.
9. Anzum, F., Asha, A. Z., & Gavrilova, M. L. (2022, September). Biases, fairness, and implications of using AI in social media data mining. In 2022 International Conference on Cyberworlds (CW) (pp. 251-254). IEEE.
10. Shopon, M., Hsu, G. S. J., & Gavrilova, M. L. (2022). Multiview gait recognition on unconstrained path using graph convolutional neural network. IEEE Access, 10, 54572-54588.
11. Bari, A. H., & Gavrilova, M. L. (2022). KinectGaitNet: Kinect-based gait recognition using deep convolutional neural network. Sensors, 22(7), 2631.
12. Hsu, G. S. J., Wu, H. Y., Tsai, C. H., Yanushkevich, S., & Gavrilova, M. L. (2022). Masked face recognition from synthesis to reality. IEEE Access, 10, 37938-37952.
13. Bhatia, Y., Bari, A. H., Hsu, G. S. J., & Gavrilova, M. (2022). Motion capture sensor-based emotion recognition using a bi-modular sequential neural network. Sensors, 22(1), 403.
14. Shopon, M., Hossain Bari, A. S. M., Bhatia, Y., Narayanaswamy, P. K., Tumpa, S. N., Sieu, B., & Gavrilova, M. (2022). Biometric system de-identification: Concepts, applications, and open problems. Handbook of Artificial Intelligence in Healthcare: Vol 2: Practicalities and Prospects, 393-422.
15. KN, P. K., & Gavrilova, M. L. (2021). Latent personality traits assessment from social network activity using contextual language embedding. IEEE Transactions on Computational Social Systems, 9(2), 638-649.
16. Shopon, M., Bari, A. H., & Gavrilova, M. L. (2021). Residual connection-based graph convolutional neural networks for gait recognition. The Visual Computer, 37(9), 2713-2724.

Profile Details

WoS ResearcherID: AHD-3605-2022

https://orcid.org/0000-0002-5338-1834

https://profiles.ucalgary.ca/marina-gavrilova

https://scholar.google.com.hk/citations?user=q3vR88gAAAAJ&hl=zh-CN&oi=sra

https://en.wikipedia.org/wiki/Marina_Gavrilova