Data Science Study, Research, and Applications
Abstract
Data science has become a hot area in recent years and related jobs continue to be in high demand in all industries. It already widely impacts our daily life ranging from shopping, entertainment, transportation, healthcare, finance, security, weather forecast, to social media and internet visits. In this talk, Dr. Huang will give an overview of data science - an interdisciplinary field that combines programming, algorithms, database, data mining, machine learning, statistics, data visualization, and domain knowledge. In order to prepare for a career in data science, Dr. Huang will discuss what courses and skills students should learn at school and give some suggestions based on his teaching experiences. He will also present the current popular research areas and show some of his research results and student projects. Applications and several real stories in data science will be discussed and future trends will be covered to conclude his talk.
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Date and Time
Location
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Registration
- Date: 13 Mar 2021
- Time: 01:00 PM to 03:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- New York City, New York
- United States
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- Co-sponsored by NY Chapter of Computer Society, NY Chapter of SMC Society, http://ny-ieee-smc.weebly.com/ NY Chapter of Computational Intelligence Society, IEEE Student Branch at LIU-Brooklyn NY IEEE Section Education Committee
- Starts 01 March 2021 08:00 AM
- Ends 13 March 2021 12:30 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Ching-yu Huang of School of Computer Science and Technology, Kean University
Data Science Study, Research, and Applications
Data science has become a hot area in recent years and related jobs continue to be in high demand in all industries. It already widely impacts our daily life ranging from shopping, entertainment, transportation, healthcare, finance, security, weather forecast, to social media and internet visits. In this talk, Dr. Huang will give an overview of data science - an interdisciplinary field that combines programming, algorithms, database, data mining, machine learning, statistics, data visualization, and domain knowledge. In order to prepare for a career in data science, Dr. Huang will discuss what courses and skills students should learn at school and give some suggestions based on his teaching experiences. He will also present the current popular research areas and show some of his research results and student projects. Applications and several real stories in data science will be discussed and future trends will be covered to conclude his talk.
Biography:
Dr. Ching-yu (Austin) Huangis an Assistant Professor with School of Computer Science and Technology, Kean University, Union, NJ. Dr. Huang has a strong passion for teaching and researching. He received a Teaching Award, Excellent Performance in Computer Science Education, 3rd Annual NJ/NY CS Teaching Awards, Newark, NJ, June 14, 2018, and Faculty Research Mentor of the Year at Kean University, April 24, 2019. He is a Co-Principle Investigator for NSF Grant, “Pathway to Success for Students and Faculty in Computing,” awarded amount: $1.68M, 2019-2024. Prior to joined Kean University, Dr. Huang has gained great exposure in the industries of Finance, Telecommunications and Biotechnology such as Moody’s, University of Medicine & Dentistry of New Jersey (UMDNJ/Rutgers), Orchid Biosciences, and AT&T. His areas of expertise and research include - bioinformatics, data mining, image processing, pattern recognition, computer application design, web development, programming language, computer graphics, database, system administration, and E-learning.
Email:
Address:1000 Morris Ave., , , Union, New Jersey, United States, 07083
Agenda
Opening Remark - Dr. Ping-Tsai Chung, Chair of NY IEEE Education Committee
IEEE Promotion Video - IEEE- Engineers are the Solutionists of Tomorrow
Presentation -
Data Science Study, Research, and Applications
Dr. Ching-yu Huang, School of Computer Science and Technology, Kean University, Union, NJ
Q/A