Computer Vision · PhD Candidate

Ali Soltaninezhad

I build machine perception that works in the real world.

About

I'm a PhD candidate in Electrical and Computer Engineering at the University of Victoria, in Dr. Alexandra Branzan Albu's Computer Vision Lab. I teach machines to read what people are doing in video — fast enough and light enough to run outside a research cluster. In practice that means spatio-temporal action detection, motion-aware video understanding, privacy-preserving perception, and models built to hold up in the wild.

The work has left the lab. It's first-author at ICPR 2026 and CRV 2025, and it powers Archipelago Marine Research's FishVue platform — which took the 2026 VIATEC Innovative Excellence Award. I teach, too: I'm the instructor for UVic's Medical Image Processing course (ECE 435 / BME 403) this winter, on a $10,000 President's Fellowship in Research-Enriched Teaching.

What I care about is computer vision that survives the messy parts — the open sea, bad light, occlusion, motion blur — not just a clean benchmark. If that sounds like your problem too, let's talk.

Research Interests

Spatio-Temporal Action Detection

Localizing who does what, when — efficiently, across long videos.

Video Understanding

Motion-aware models that reason about events, not just frames.

Privacy-Preserving Perception

Recognizing actions while protecting the identity of people in frame.

Environmental Monitoring AI

Deployable perception for maritime and ecological monitoring.

Medical Image Processing

Robust analysis pipelines for clinical and biomedical imaging.

Publications

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Selected Projects

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Teaching

  • Jan–Apr 2026 Course Instructor

    ECE 435 / BME 403 – Medical Image Processing, University of Victoria.

  • 2024–2026 Super Teaching Assistant

    ECE 471 – Computer Vision (2024) · ECE 527 – Applied Data Analysis (2025).

  • 2023–2026 Lab Instructor / Teaching Assistant

    University of Victoria. Courses: Control Systems, Digital Design, VLSI Systems, Electronic Circuits, Signals & Systems.

Honors & Awards

$10K

President's Fellowship

Research-Enriched Teaching, 2025.

Top 1%

National BSc Entrance Exam

Ranked in the top 1% nationally.

Top 3%

National MSc Entrance Exam

Ranked in the top 3% nationally.

VIATEC 2026

Industry impact — FishVue

My research feeds Archipelago Marine Research's FishVue — the platform that automates catch and compliance monitoring on commercial fishing vessels. It helped FishVue win the 2026 VIATEC Innovative Excellence Award — computer vision running at sea, in real conditions, not on a benchmark.