Ongoing

Empower Talks: A WIE & Education Series

Virtual: https://events.vtools.ieee.org/m/443420

Join us for an inspiring series of five talks on Tuesdays hosted by IEEE Women in Engineering (WIE) and Education. This event series is crafted to guide participants through key milestones and challenges in the academic career journey, offering insights and tools to foster both personal growth and societal impact. Each session will feature expert speakers and interactive discussions that touch on topics essential for building resilience, embracing diversity, and achieving academic and professional success. Participants who attend 4 or 5 sessions will receive an IEEE certificate, marking their commitment to personal development and their dedication to creating positive change in society. Time: Tuesdays 5:00 PM - 5:40 PM The first talk is on November 5th, 2024: Title: Empowering Self and Society through the Academic Career Journey Abstract: The journey of starting an academic career as a faculty member is a transformative endeavor that not only enriches the individual but also contributes to the betterment of society. This talk explores the profound reasons behind pursuing an academic position and offers insights into strategies for thriving as a new faculty member, making meaningful contributions to their institutions and society. [] Speaker(s): Prof. Lin Cai, , Virtual: https://events.vtools.ieee.org/m/443420

Talk 2: Empower Talks: A WIE & Education Series

Virtual: https://events.vtools.ieee.org/m/444962

Industry and Academia collaboration: The hidden patterns! Time required to bring innovation from concept to commercialization could take five to twenty years. Therefore, innovation via industry-academia collaboration may have limited success because of several factors: - Different objectives, scope, time scales of industry and academia do not match, - Profit-oriented versus non-profit missions. Profits are industry priority. - . IP issues and publications. Difficult issue due to uncertainty and sharing return. Disclosure issues can cause problem in communication to broad group. With the rise of AI/ML, the challenges are even greater. There is a gap between commercial software implementations, technical recommendations and standards. Academias are rarely exposed to real products. To address these potential issues, some actions are needed. Let us discuss these questions and share some best practices we have adopted in our collaboration with universities. [] Co-sponsored by: IEEE Education Society Speaker(s): Emmanuel Thepie Fapi, , Virtual: https://events.vtools.ieee.org/m/444962