BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:iCalendar-Ruby BEGIN:VEVENT CATEGORIES:Lectures & Presentations DESCRIPTION:Aviation safety is crucial\, as failures—whether from human err or\, technical problems\, or mechanical issues—can lead to devastating cons equences. This research seeks to improve the early detection of these failu res by using machine learning (ML) models to identify abnormal events\, suc h as engine malfunctions\, before they lead to accidents. Ultimately\, by v alidating whether simulators can provide reliable training data\, this proj ect aims to create safer and more equitable aviation protocols.\n\n \n\nAhm ad Ghauri is a Ph.D. Student in Electrical Engineering and Computer Science at Russ College of Engineering and Technology - Ohio University. He earned his bachelors and masters degree in Computer Science from COMSATS Institut e of Information Technology\, Lahore\, Pakistan and University of Managemen t & Technology\, Lahore\, Pakistan\, respectively. At Ohio University\, Ahm ad is actively engaged in a research project that explores the simulation-t o-real transfer problem\, particularly how flight simulators like X-Plane c an generate data for training machine learning models to predict real-world flight issues\, such as engine failure. Ahmad has contributed to several c onferences and research papers\, including their recent work accepted at AI AA SciTech\, and their ongoing interest lies in the intersection of artific ial intelligence\, aviation safety\, and neuromorphic computing.\n \n\nThis event is free and open to the public. Please contact Kelly Roder with ques tions or to request accessibility accommodations. DTEND:20230411T150000Z DTSTAMP:20241122T201027Z DTSTART:20230411T140000Z GEO:39.325428;-82.100228 LOCATION:Alden Library\, Room 251 - Learning Lab SEQUENCE:0 SUMMARY:Graduate Research Series: Validating the Use of Flight Simulator Da ta for Machine Learning in Aviation Safety UID:tag:localist.com\,2008:EventInstance_47993814625119 URL:https://calendar.ohio.edu/event/graduate-research-series-ghauri END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures & Presentations DESCRIPTION:Aviation safety is crucial\, as failures—whether from human err or\, technical problems\, or mechanical issues—can lead to devastating cons equences. This research seeks to improve the early detection of these failu res by using machine learning (ML) models to identify abnormal events\, suc h as engine malfunctions\, before they lead to accidents. Ultimately\, by v alidating whether simulators can provide reliable training data\, this proj ect aims to create safer and more equitable aviation protocols.\n\n \n\nAhm ad Ghauri is a Ph.D. Student in Electrical Engineering and Computer Science at Russ College of Engineering and Technology - Ohio University. He earned his bachelors and masters degree in Computer Science from COMSATS Institut e of Information Technology\, Lahore\, Pakistan and University of Managemen t & Technology\, Lahore\, Pakistan\, respectively. At Ohio University\, Ahm ad is actively engaged in a research project that explores the simulation-t o-real transfer problem\, particularly how flight simulators like X-Plane c an generate data for training machine learning models to predict real-world flight issues\, such as engine failure. Ahmad has contributed to several c onferences and research papers\, including their recent work accepted at AI AA SciTech\, and their ongoing interest lies in the intersection of artific ial intelligence\, aviation safety\, and neuromorphic computing.\n \n\nThis event is free and open to the public. Please contact Kelly Roder with ques tions or to request accessibility accommodations. DTEND:20241113T170000Z DTSTAMP:20241122T201027Z DTSTART:20241113T160000Z GEO:39.325428;-82.100228 LOCATION:Alden Library\, Room 251 - Learning Lab SEQUENCE:0 SUMMARY:Graduate Research Series: Validating the Use of Flight Simulator Da ta for Machine Learning in Aviation Safety UID:tag:localist.com\,2008:EventInstance_47993905876431 URL:https://calendar.ohio.edu/event/graduate-research-series-ghauri END:VEVENT END:VCALENDAR