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Program dossier

York University

Department of Electrical Engineering and Computer Science PhD in Electrical Engineering and Computer Science

Verified evidence

People to investigate

Advisor leads

high priority 5/5 fit
Ali Sadeghi-Naini

Graduate faculty, EECS

Ali Sadeghi-Naini: artificial intelligence and biomedical engineering; quantitative imaging, biomarkers, precision medicine, radiomics, image-guided therapeutics, and computational biomedical modeling. Current capacity is unknown.

Official York graduate-faculty and research-lab pages list AI/Biomedical Engineering areas and QUANTIMB work in quantitative imaging and smart biomarkers using intelligent signal processing, computational modeling, and machine learning.

Strongest York medical-imaging/AI fit; confirm current PhD openings.

medium priority 4/5 fit
James Elder

Graduate faculty, EECS

James Elder: computer vision and biological vision. Current capacity is unknown.

Official York pages list Computer Vision and AI research area fit, Elder Laboratory, Centre for Vision Research, and VISTA connection.

Strong computer-vision fit; less direct medical-imaging fit than Sadeghi-Naini.

medium priority 4/5 fit
Richard Wildes

Graduate faculty, EECS

computer vision, artificial intelligence, robotics, image processing

Official York pages describe computational vision and allied areas of image processing, robotics, and artificial intelligence; Vision Lab lead.

Computer vision lead; verify active supervision capacity and fit with medical-imaging/multimodal topic.

Decision evidence

Evidence snapshot

Lassonde EECS PhD with AI, computer vision, and biomedical-imaging faculty/lab leads verified ๐Ÿ”—

Deadline

For Fall entry, the application is available October 1 through December 1; the page does not label a Fall 2027 year, cutoff time, or timezone. Toronto local time TBD

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Funding

TBD

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GRE

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English test

English proficiency required if first language is not English; possible exemption after at least one full year at accredited university where English is official language; scores within last 2 years

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Min scores

Programme page gives minimum scores; exact values require recheck; TOEFL institutional code 0894

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References

3

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Documents

Application web form and fee; mandatory MyFile uploads; supplementary application form with preferred research area; transcript; one-page statement of purpose; 3 references; CV/resume; English test if applicable; degree certificates referenced

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Application fee

TBD; application fee required but exact amount not captured in current packet

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Program context

Fit and operating notes

Institution profile

School context

Location

Toronto, Canada

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Institution

Public university

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Verified on

2026-08-04

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School fit score 4
Research fit evidence

Lassonde EECS PhD with AI, computer vision, and biomedical-imaging faculty/lab leads verified

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Funding route

TBD

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International support

English proficiency test required if first language is not English unless exempt; York institutional TOEFL code 0894; UHIP required for international students

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Fee waiver

TBD

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Official verification

2026-08-04

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Promoted from hold. Official packet verifies EECS PhD route, Fall-only recurring intake, application window, documents, funding package eligibility, insurance route, English/GRE basics, and AI/vision/biomedical faculty leads. Before shortlist: verify exact Fall 2027 posted dates/time zone, application fee/waiver, funding amount/package terms, 2027 tuition/fees, and advisor capacity. ๐Ÿ”—

Financial picture

Funding and support

Competitive funding packages for full-time thesis/dissertation students throughout nominal program length; EECS PhD shows domestic and international funding eligibility ๐Ÿ”—

Tuition coverage

Competitive funding packages available; tuition coverage/net package terms TBD

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International support

English proficiency test required if first language is not English unless exempt; York institutional TOEFL code 0894; UHIP required for international students

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