2026 Marina L. Gavrilova: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	35	11535	11204	451	432	382	6893

Research.com Recognitions

2009 - ACM Senior Member

Overview

Marina L. Gavrilova is affiliated with the University of Calgary in Canada and has produced extensive research in the field of Computer Science, with a total of 89 publications. Their work primarily spans several subfields including Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems, and Biomedical Engineering.

The main topics covered in their research include:

User Authentication and Security Systems
Video Surveillance and Tracking Methods
Biometric Identification and Security
Gait Recognition and Analysis
Face Recognition and Analysis
Human Pose and Action Recognition
Music and Audio Processing

Recent publications authored by collaborators associated with Marina L. Gavrilova include:

Latent Personality Traits Assessment From Social Network Activity Using Contextual Language Embedding, 2021, IEEE Transactions on Computational Social Systems
Cancelable Biometrics Using Deep Learning as a Cloud Service, 2020, IEEE Access
Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network, 2022, Sensors
Masked Face Recognition From Synthesis to Reality, 2022, IEEE Access
Biometric Systems De-Identification: Current Advancements and Future Directions, 2021, Journal of Cybersecurity and Privacy

Frequent co-authors collaborating with Marina L. Gavrilova include:

A. S. M. Hossain Bari
Md Shopon
Gee-Sern Hsu
Sanjida Nasreen Tumpa
Yajurv Bhatia

Key publication venues where Marina L. Gavrilova has regularly published encompass:

IEEE Access
Sensors
Viruses
The Visual Computer
Journal of Cybersecurity and Privacy

In addition to journal articles, Marina L. Gavrilova has contributed to multiple book publications, particularly with Springer Science+Business Media. These books include titles such as Advances in Computer Graphics (2021 and 2022 editions) and Transactions on Computational Science XXXVI (2020) and Transactions on Computational Science XXXIX (2022).

Marina L. Gavrilova has been recognized as an ACM Senior Member since 2009, reflecting a level of professional standing within the computing community.

Best Publications

Computational Science and Its Applications – ICCSA 2005

Osvaldo Gervasi;Marina L. Gavrilova;Vipin Kumar;Antonio Laganà

603
Citations
Roadmap-Based Path Planning - Using the Voronoi Diagram for a Clearance-Based Shortest Path

P. Bhattacharya;M.L. Gavrilova

419
Citations
Computational Science and Its Applications - ICCSA 2006

Marina L. Gavrilova;Osvaldo Gervasi;Vipin Kumar;C. J. Kenneth Tan

386
Citations
Computational Science and Its Applications – ICCSA 2004

Antonio Laganá;Marina L. Gavrilova;Vipin Kumar;Youngsong Mun

385
Citations
Multimodal Biometric System Using Rank-Level Fusion Approach

M.M. Monwar;M.L. Gavrilova

247
Citations
Computational Science and Its Applications — ICCSA 2003

Vipin Kumar;Marina L. Gavrilova;Chih Jeng Kenneth Tan;Pierre L’Ecuyer

187
Citations
Computational Science and Its Applications

Osvaldo Gervasi;David Taniar;Beniamino Murgante;Antonio Laganà

183
Citations
Voronoi diagram in optimal path planning

P. Bhattacharya;M.L. Gavrilova

183
Citations
Computational Science and Its Applications – ICCSA 2007

Osvaldo Gervasi;Marina L. Gavrilova

160
Citations
An algorithm for three‐dimensional Voronoi S‐network

Nikolai N. Medvedev;V. P. Voloshin;V. A. Luchnikov;Marina L. Gavrilova

151
Citations
Emotion Recognition From Body Movement

Ferdous Ahmed;A. S. M. Hossain Bari;Marina L. Gavrilova

143
Citations
Computational Science and Its Applications – ICCSA 2008

Osvaldo Gervasi;Beniamino Murgante;Antonio Laganà;David Taniar

127
Citations
Voronoi-Based Continuous $k$ Nearest Neighbor Search in Mobile Navigation

Geng Zhao;Kefeng Xuan;Wenny Rahayu;David Taniar

121
Citations
Gauss–Laguerre wavelet textural feature fusion with geometrical information for facial expression identification

Ahmad Poursaberi;Hossein Ahmadi Noubari;Marina Gavrilova;Svetlana N Yanushkevich

110
Citations
DTW-based kernel and rank-level fusion for 3D gait recognition using Kinect

Faisal Ahmed;Padma Polash Paul;Marina L. Gavrilova

105
Citations
Applying biometric principles to avatar recognition

Marina L. Gavrilova;Roman Yampolskiy

103
Citations
Updating the topology of the dynamic Voronoi diagram for spheres in Euclidean d -dimensional space

M. L. Gavrilova;J. Rokne

87
Citations
Multimodal Biometrics and Intelligent Image Processing for Security Systems

Marina L. Gavrilova;Maruf Monwar

87
Citations
Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems

Gerhard Budin;Marina L. Gavrilova;Duane F. Shell;Yingxu Wang

87
Citations
Decision Fusion for Multimodal Biometrics Using Social Network Analysis

Padma Polash Paul;Marina L. Gavrilova;Reda Alhajj

86
Citations
Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence

Marina L. Gavrilova

80
Citations
Multimodal Cancelable Biometrics

Padma Polash Paul;Marina Gavrilova

76
Citations
A Concept of Social Behavioral Biometrics: Motivation, Current Developments, and Future Trends

Madeena Sultana;Padma Polash Paul;Marina Gavrilova

70
Citations

Frequent Co-Authors

David Taniar Monash University

Yingxu Wang University of Calgary

Vipin Kumar University of Minnesota

Reda Alhajj University of Calgary

Sargur N. Srihari University at Buffalo, State University of New York

Bala Srinivasan Monash University

Pierre L'Ecuyer University of Montreal

Konstantinos N. Plataniotis University of Toronto

Henry Leung University of Calgary

Bernard Widrow Stanford University

External Links

Personal website of Marina L. Gavrilova

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing computer science doesn't have to follow a single, traditional route. Many students are exploring 2 year online degrees as a flexible, cost-effective way to enter the tech field or gain foundational skills before transferring to a bachelor’s program. These associate programs can jumpstart your career or help you decide if computer science is the right fit for you.

Affordability is a common concern, but affordable online courses make it possible for more students to access high-quality education without breaking the bank. Many universities now offer budget-friendly tuition rates, allowing you to maximize your investment in your future.

Not everyone has a perfect academic record, but opportunities exist for all learners. There are online colleges that accept 2.0 gpa, ensuring that even students with a lower GPA can start working towards a rewarding computer science career.

Your degree opens doors beyond traditional programming roles. Computer science graduates can work in fields as diverse as software engineering, cybersecurity, data analysis, or even combine tech with other industries. Curious about how your degree might cross over? For example, you can explore what can you do with an environmental science degree for inspiration on interdisciplinary career options.