Scholar

Iuliia Kotseruba

Google Scholar ID: a-UOikoAAAAJ

Assistant Professor, University of Guelph

Computer VisionVisual AttentionCognitive SystemsIntelligent Transportation

Citations & Impact

All-time

Citations

3,184

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

1. Published two large-scale datasets (JAAD and PIE) and a benchmark for studying pedestrian crossing behavior.
2. Authored a series of papers analyzing pedestrian crossing behavior and social interaction with drivers.
3. Developed models for predicting trajectory (PIEtraj) and crossing action (SF-GRU, PCPA).
4. Wrote a survey paper on '40 Years of Cognitive Architectures' and co-authored the book 'The Computational Evolution of Cognitive Architectures'.

Research Experience

1. Pedestrian behavior understanding: Contributed to several projects on collecting and analyzing pedestrian crossing behavior and developing better predictive models.
2. Driver attention (and human attention in general): Studied how people observe their surroundings, especially in traffic scenarios.
3. Cognitive architectures: Surveyed and analyzed over 3000 publications on more than 80 cognitive architectures created in the last 40 years.

Education

Before joining the University of Guelph in 2025, she completed her Postdoc, PhD, and MSc in Computer Science and Electrical Engineering at York University, and a BSc in AI at the University of Toronto.

Background

Assistant Professor with research interests in building computer vision systems inspired by human vision and cognition for applications such as intelligent transportation, assistive driving systems, and autonomous driving. Her main goal is to advance human-centered traffic safety through the application of domain knowledge, extensive data analysis, and systematic benchmarking.

Miscellany