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Alex Vakanski
Learning From Demonstration
Vision-Based Control
Intelligent Systems For Robotics
Biomedical Informatics
About
Dr. Alex Vakanski is an Associate Professor in the Department of Computer Science with a Ph.D. in Mechanical and Industrial Engineering from Toronto Metropolitan University (2013). He specializes in machine learning, computer vision, robotics, and biomedical informatics, focusing on learning from demonstration, vision-based control, and intelligent systems for robotic and biomedical applications.
Research Performance Summary
2010-2025
Active Research Span
First Recorded Paper
Trajectory learning based on conditional random fields for robot programming by demonstration
Year:
2010
Citations:
13
Venue:
Proceedings of the IASTED International Conference on Robotics and
Latest Recorded Paper
GCSAM: Gradient Centralized Sharpness Aware Minimization
Year:
2025
Citations:
0
Venue:
IEEE Access 13
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Vakanski
Xian
Janabi-Sharifi
Research Impact by Period
Papers
12
Citations
57
Avg. Citations / Paper
4.8
H-Index
5
Papers
26
Citations
1652
Avg. Citations / Paper
63.5
H-Index
17
Papers
11
Citations
544
Avg. Citations / Paper
49.5
H-Index
9
Papers
5
Citations
225
Avg. Citations / Paper
45
H-Index
5
Contact and Professional Links
Detected Research Keywords
Robot Programming Demonstration
Network Breast Ultrasound
Breast Ultrasound Image
Histopathology Image Synthesis
Physical Rehabilitation Exercises
Tumor Aware Network
Aware Network Breast
Ultrasound Image Segmentation
Bending Loss Regularized
Network Nuclei Segmentation