BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute of Biomedical Engineering (BME) - ECPv6.17.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://bme.utoronto.ca
X-WR-CALDESC:Events for Institute of Biomedical Engineering (BME)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261009T161500
DTEND;TZID=America/Toronto:20261009T162000
DTSTAMP:20260911T165348Z
CREATED:20260909T143108Z
LAST-MODIFIED:20260911T165348Z
UID:10000748-1791562500-1791562800@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Maryam Dehghani
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MS2158 – 1 King’s College Circle\nPresentation Title: Advancing deep learning for sign language to spoken language translation\nAbstract:\nCommunication barriers between Deaf and hearing individuals continue to limit access to education\, healthcare\, and everyday social interactions. This research aims to reduce those barriers by developing an AI-driven framework for real-time\, two-way sign language translation. The long-term goal is to combine Sign Language Recognition (SLR) and Sign Language Production (SLP) into a single system that enables more natural and accessible communication between Deaf and hearing communities.\nThe current stage of this research focuses on the SLR component using the American Sign Language Lexicon Video Dataset (ASLLVD). A complete preprocessing pipeline was developed to clean and organize the dataset\, extract body and hand landmarks using MediaPipe\, and convert sign language videos into machine-learning-ready representations. Three deep learning architectures\, LSTM-only\, CNN+LSTM\, and CNN+Transformer\, were then implemented and compared to identify the most effective approach for recognizing sign language from video.\nAmong the evaluated models\, the CNN+Transformer model achieved the strongest performance\, demonstrating a greater ability to capture both the spatial and temporal patterns that characterize sign language. These findings provide a strong foundation for the next phase of the project\, which will extend the model to generate natural\, expressive sign language from spoken or written language.\nThis work demonstrates how artificial intelligence can make communication more accessible across different languages and modalities. By integrating computer vision\, deep learning\, and sign language technologies\, the proposed framework supports more natural interactions between Deaf and hearing individuals\, helping improve access to essential services while promoting inclusion\, accessibility\, and equitable participation in society.\nSupervisor Name: Dr. Tom Chau\nYear of Study: 3\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-maryam-dehghani/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20261009T162500
DTEND;TZID=America/Toronto:20261009T163000
DTSTAMP:20260911T165348Z
CREATED:20260909T143108Z
LAST-MODIFIED:20260911T165348Z
UID:10000749-1791563100-1791563400@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Vicki Li
DESCRIPTION:Graduate Student Seminar Series\nPlease ensure you invite your Principal Investigator by adding their email via the ‘Add Guest’ button and they will also be notified of your presentation.\nLocation: MS2158 – 1 King’s College Circle\nPresentation Title: Sleep-targeted neuromodulation enhances memory consolidation in childhood epilepsy\nSupervisor Name: George Ibrahim\nYear of Study: 2\nProgram of Study: MASc\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-vicki-li/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
END:VEVENT
END:VCALENDAR