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X-WR-CALDESC:Events for Institute of Biomedical Engineering (BME)
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DTSTART;TZID=America/Toronto:20250926T161000
DTEND;TZID=America/Toronto:20250926T162500
DTSTAMP:20250926T162233Z
CREATED:20250905T180505Z
LAST-MODIFIED:20250926T162233Z
UID:10000605-1758903000-1758903900@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Filip Miscevic
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: A Novel Naturalistic Dual-Task Ear Training Paradigm with Real-time Multimodal Gamified Neurofeedback for Cochlear Implant Users\nAbstract: Cochlear implants (CIs) are the oldest and most widely used neural prosthetic\, but CI users experience listening fatigue more readily than normal-hearing individuals. This can discourage consistent CI usage and lead to a reduced quality of life. Previous work has shown that ear-training tasks can improve real-world listening outcomes\, but have relied on tedious\, contrived stimuli such as strings of numbers or words. Our aim is to develop a fun\, engaging listening task that simulates the demands of a real-world listening environment using episodes of a TV show\, and to provide game-like rewards for good listening performance derived from real-time electroencephalography (EEG). In the task we have developed\, subjects must follow a target audiovisual stimulus (an episode from a TV show) while ignoring a distractor as it alternates between their left and right sides at cued intervals. A multivariate temporal response function (mTRF) is used to generate a reconstruction of the perceived stimulus from the EEG signal\, which can then be compared with the ground-truth attend stimulus. If the two are highly correlated\, the participant is rewarded with a star animation\, encouraging further progress. A pilot study of ten participants demonstrated greater neural tracking of the target stimulus (mean Pearson correlation coefficient of 0.13 vs. 0.09\, p<0.01) and better suppression of the ignored stimulus\, suggesting that our novel task is better suited for ear-training than the traditional version of the task. Our task may help train CI listening ability in a fun\, engaging way\, which may translate to better real-world listening abilities and an improved quality of life.\nSupervisor Name: Luka Milosevic\nYear of Study: 3\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-filip-miscevic/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250926T162500
DTEND;TZID=America/Toronto:20250926T164000
DTSTAMP:20250926T162233Z
CREATED:20250905T180505Z
LAST-MODIFIED:20250926T162233Z
UID:10000608-1758903900-1758904800@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Alice Feng
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: Discovery of Cell Culture Media Formulations through a Hybrid Active Learning Algorithm\nAbstract: Optimizing xeno-free and chemically defined (XFCD) cell culture media is essential for producing safe and contaminant-free stem and progenitor cells. This work describes HiDiNeu\, a hybrid optimization algorithm that combines differential evolution and various machine learning models to address the complexity of optimizing 14-100 supplement factors during an active learning process. Based on the High Dimensional Differential Evolution (HDDE) framework\, HiDiNeu has previously discovered serum equivalent formulations more efficiently during in silico (computer based) testing. In this study\, we extend validation to in vitro (direct in laboratory) experiments\, integrate and compare additional machine learning models\, and benchmark HiDiNeu against existing optimization algorithms to evaluate comparative performance. These efforts move towards a more reliable and scalable platform to develop XFCD media that better supports stem cell growth.\nSupervisor Name: Julie Audet\nYear of Study: 3\nProgram of Study: MASc\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-alice-feng/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250926T164000
DTEND;TZID=America/Toronto:20250926T165500
DTSTAMP:20250926T162233Z
CREATED:20250905T180505Z
LAST-MODIFIED:20250926T162233Z
UID:10000607-1758904800-1758905700@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Mohammad Nazeri
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: Robotic Autonomous Imaging Surface Evaluator (RAISE): A Closed-Loop System for Accelerating Material and Formulation Discovery\nAbstract: Surface wettability is a critical design parameter for biomedical devices\, coatings\, and textiles. Contact angle measurements quantify liquid-surface interactions\, which depend strongly on liquid formulation. Herein\, we present the Robotic Autonomous Imaging Surface Evaluator (RAISE)\, a closed-loop\, self-driving system capable of linking liquid formulation optimization with surface wettability assessment. RAISE comprises a full experimental orchestrator capable of mixing liquid ingredients to create varying formulation cocktails\, transferring droplets of prepared formulations to a high-throughput stage\, and using a pick-and-place camera tool for automated droplet image capture. It also includes automated image processing to measure contact angles. This closed loop experiment orchestrator is integrated with a Bayesian Optimization (BO) client\, which enables iterative exploration of new formulations based on previous contact angle measurements to meet user-defined objectives.\nSupervisor Name: Frank Gu\nYear of Study: 2\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-mohammad-nazeri-3/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250926T165500
DTEND;TZID=America/Toronto:20250926T171000
DTSTAMP:20250926T162233Z
CREATED:20250905T180505Z
LAST-MODIFIED:20250926T162233Z
UID:10000609-1758905700-1758906600@bme.utoronto.ca
SUMMARY:Graduate Student Seminar Series - Fateme Eskandary
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: Polymeric Glucose-Responsive Nanoparticles for Smart Delivery of Amylin for the Treatment of Type I Diabetes\nSupervisor Name: Caitlin Maikawa\nYear of Study: 3\nProgram of Study: PhD\nPowered by Calendly.com
URL:https://bme.utoronto.ca/event/graduate-student-seminar-series-fateme-eskandary/
LOCATION:MS2158
CATEGORIES:Graduate Seminar Series
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