Introduction to IEEE Women in Engineering

Webinar - Thursday, Azar 6, 1399 (November 26, 2020) - 6 PM IRDT (9:30 AM EST)

پایان‌یافته

Short Bio

  • IEEE Region 9 Secretary
  • Territory Manager of the Caribbean, Parker Hannifin Corp.
  • Mechatronics Engineer, MBA – International Business
  • WIE Committee Member at Large (2019-2020)
  • Puerto Rico and Caribbean (PR&C) Section Technical Activities Chair
  • Region 9 Industry Engagement AdHoc Committee Chair
  • Puerto Rico and Caribbean (PR&C) Section Chair (2018 – 2019)

Description

The webinar describes the basic information about WIE, benefits, tools, including the plans for 2021.

Jenifer Castillo

2021 Chair,
IEEE WIE Global Committee
jenifercastillor@ieee.org

The Curse and Blessing of Artificial Intelligence

TechTalk - Saturday, Mehr 19, 1399 (October 10, 2020) - 5:30 PM IRDT (10:00 AM EDT)

پایان‌یافته

Short Bio

  • Editor-in-Chief, The Journal of Supercomputing (Springer)
  • Editor, Transactions of Computational Science & Computational Intelligence (Springer)
  • Fellow & Adviser, Center of Excellence in Terrorism, Resilience Intelligence & Organized Crime Research (CENTRIC)
  • Senior Adviser, Araware LLC (multi-national)

Description

The talk touches on benefits and positive impacts of AI as well as its potential problems; more discussion will be provided about the problems. The problems include: weaponizing AI for cyber warfare, negative impact on employment, fake news, deep fake, negative impact on democracies and societies, and others.

Prof. Hamid R. Arabnia

Professor Emeritus,
Computer Science,
The University of Georgia, USA
hra@uga.edu

Applications of Machine Learning in Speech and Audio Processing

Webinar - Friday, Mordad 3, 1399 (July 24, 2020) - 6 PM IRDT (10:30 AM EDT)

پایان‌یافته

Description

For decades, machine learning techniques have been important components of the solutions to various audio and speech processing problems; their prominence has only grown with the deep learning revolution of past decade. This talk will go over a few problems in speech and audio where machine learning techniques have proven especially useful, and discuss how the field has changed and will continue to change as a result.

Dr. Amir Moghimi

Machine Learning Tech Lead,
Wayfair, USA
amir.mogh@gmail.com
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