July 2026 (2)
- Jul.
03
- 2026
IEEE WIE Panel Discussion : From Blueprints to Startups - Engineers as Emerging Founders in the Startup Ecosystem
2026-07-03T18:30:00.000Z,
2026-07-03T18:30:00.000Z
–
2026-07-03T19:30:00.000Z
, Room EN 3075, Faculty of Engineering and Applied Science
Hosted by Newfoundland-Labrador Section Affinity Group, WIE
Co-hosted by Newfoundland-Labrador Section;
From Blueprints to Startups: Engineers as Emerging Founders in the Startup Ecosystem
As part of the IEEE WIE Day 2026 celebrations, IEEE Women in Engineering (WIE) Newfoundland and Labrador, together with the Memorial Centre for Entrepreneurship (MCE), invites you to an engaging panel discussion on innovation, entrepreneurship, and leadership in STEM.
Hear from entrepreneurs, startup leaders, innovation mentors, and academic experts as they share their experiences in transforming ideas into impactful ventures. The discussion will explore innovation, entrepreneurship, mentorship, startup development, and the opportunities and challenges involved in building successful ventures.
Whether you are a student, researcher, early-career professional, or aspiring entrepreneur, this event offers valuable insights while celebrating the contributions of women in STEM innovation and entrepreneurship.
A networking session with refreshments will follow the panel discussion.
Registration is required. Please scan the QR code on the event flyer to register. Seating is limited, and registrations will be accepted on a first-come, first-served basis.
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- Jul.
14
- 2026
IEEE OES-GRSS-APS Invited Talk 2 (14 July 2026)
2026-07-14T17:30:00.000Z,
2026-07-14T17:30:00.000Z
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2026-07-14T18:30:00.000Z
CSF, Room 1203,
Hosted by Newfoundland-Labrador Sect Jt.Chap,OE22/GRS29/AP03
IEEE OES-GRSS-APS Invited Technical Talk 2
Speaker: Dr. Kegen Yu
Title：Monitoring Ocean States with Spaceborne GNSS Reflectometry
Abstract: Global Satellite Navigation System Reflectometry (GNSS-R) is an emerging remote sensing technology that is increasingly widely used in Earth observation, environmental parameter retrieval, and monitoring of marine and terrestrial disasters. This talk primarily discusses the use of spaceborne GNSS-R technology for monitoring ocean conditions, selecting three ocean parameters—sea surface wind speed and direction, and sea surface wave height—as retrieval targets. It focuses on studying how to construct ocean parameter retrieval models using machine learning algorithms under the condition of sufficient observational data samples. Model training primarily utilizes GNSS-R observation data from China's Fengyun-3E and the U.S. CYGNSS satellites, along with several ocean parameter product datasets as reference data. Through extensive experimental data processing, the model's performance was validated, demonstrating that spaceborne GNSS-R technology can be applied to monitor ocean conditions and serve as an effective supplement to existing ocean monitoring techniques.
Time: 3pm-4pm NST, 14 July, 2026
Location: CSF-1203, Memorial University
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