IEEE DAY 2023 : Webinar on The impact of AI/ML in Our Life and Future Opportunities
A tutorial session on machine learning and data science techniques for all engineering professionals as well as students.
A draft outline is give below:
1. What is AI and why it matters
How ChatGPT change the world
How midjourney change the world
How auto driving will change the world
AI improves productivity, at the same time it kills a lot of jobs, yours might be one of them
2. Future opportunities of AI in the industry
3. Does that means academic research of AI is no longer a hot topic?
Is chatGPT that powerful? What is its limitations
Different types of data that we need to process
Future opportunities in AI/ML academic research
Date and Time
Location
Hosts
Registration
- Date: 10 Oct 2023
- Time: 06:00 PM to 07:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- Add Event to Calendar
- Contact Event Hosts
-
A tutorial session on machine learning and data science techniques for all engineering professionals as well as students.
- Co-sponsored by Gannon University
- Starts 20 September 2023 05:00 PM
- Ends 10 October 2023 12:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Victor of Bell Research Center
The impact of AI/ML in Our Life and Future Opportunities
Biography:
Yuecai Zhu, a highly skilled data scientist and machine learning engineer, has built an impressive career with a solid educational foundation and notable professional achievements. With a Master's degree in Computer Science from McGill University, earned between 2018 and December 2022, Yuecai delved deep into AI and machine learning techniques. His expertise extended to dynamic graph learning with deep neural networks, showcasing a commitment to understanding the intricacies of cutting-edge technologies.
Before his master's program, Yuecai earned a Bachelor's degree in Computer Science from Concordia University in 2016. During this period, he started his work in academic research. Supervised by Professor Peter Rigby, he published multiple academic papers during his Bachelor's program. In his professional journey, Yuecai has made significant contributions as a Data Scientist and Machine Learning Engineer. His tenure at Bell Mobility, since 2017, saw him at the forefront of innovative projects. He was pivotal in developing the robocall detection application, a groundbreaking AI solution designed to identify fraudulent callers in Canada. Notably, Yuecai was recognized as one of the inventors in a patent related to this pioneering project. Furthermore, Yuecai made substantial contributions by re-architecting Bell's initial AI solution for SMS Spam Detection, resulting in cost savings and higher detection rates. He also initiated and led the development of a dynamic graph-based ML model to enhance the robocall detection application and a universal anomaly detection solution for data quality monitoring. Yuecai's analytical skills and forward-thinking approach were evident as he explored migration options for the data platform to public clouds and automated GitLab onboarding processes for public cloud projects. His role also involved re-architecting multiple Spark ETL data pipelines, automating supporting workflows, and contributing to the seamless advancement of technology. Yuecai's academic excellence, combined with his practical experience, positions him as a leader in the industry, constantly pushing the boundaries of what is possible in the world of technology.Address:Montreal, Canada