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WIND INSTITUTE TECHNICAL BOOTCAMP @ NJIT
(https://njitcl.catalog.instructure.com/) Bootcamp Objective: This 2-day offshore wind training bootcamp is for students and professionals with engineering or physical science backgrounds who are interested in starting or upskilling their career in the offshore wind industry. Through intensive training, the bootcamp aims to cover the technical aspects of offshore wind farm development, including environmental impact assessments, energy generation, transmission, grid integration, energy storage systems, and more! This bootcamp training will issue a certificate of completion from the New Jersey Institute of Technology (NJIT) and the opportunity to claim 14 Professional Development Hours (PDH) after successful completion of the online examination (multiple-choice questions) at the end of the bootcamp. Bootcamp Overview: Day 1: - Opening Keynote from NJ Economic Development Authority - Course 1: Offshore Wind Farm Overview - Course 2: Generation - Course 3: Offshore Transmission - Course 4: Onshore Transmission and Construction Day 2: - Opening Keynote from NJ Board of Public Utilities - Presentation on the Participation of Minority and Underrepresented Engineers in Wind Energy - Course 5: Community and Environmental Management - Course 6: Offshore Wind Farm Project Management - Course 7: Energy Storage System for Renewable - Course 8: Grid Interconnection and Integration - Take-Home Online Examination (Multiple-Choice Questions) Target Audience: There are no formal prerequisite courses, but participants are encouraged to have a foundational understanding of engineering or physical sciences, preferably at a college or advanced-placement level. The bootcamp aims to provide a short-term, rigorous, fast-paced, and focused fundamental training to help practicing engineers, researchers, and graduates to be well-prepared for the new field of offshore wind energy. Co-sponsored by: New Jersey Institute of Technology (NJIT) Agenda: [] Bldg: Agile Strategy Lab, New Jersey Institute of Technology, 355 Dr Martin Luther King Jr Blvd, Newark, New Jersey, United States, 07102
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2024 IEEE Metropolitan AI Applications Symposium (Saturday 12/14 @10AM Zoom 506 875 4099)
2024 IEEE Metropolitan AI Applications Symposium (Saturday 12/14 @10AM Zoom 506 875 4099)
The 2024 IEEE Metropolitan AI Applications Symposium (IEEE MAIAS-2024) will be held online (Zoom) on Saturday, December 14, 2024, from 10 am until 12:30 pm. The symposium consists of one keynote presentation and several invited presentations, covering various topics in AI methods, systems, and applications. This symposium is organized in collaboration with Canadian-American Research Forum on AI Technologies. Organizers: IEEE North Jersey Engineering in Medicine and Biology Chapter (EMB) IEEE North Jersey Section Canadian-American Research Forum on AI Technologies Registration Required: https://events.vtools.ieee.org/m/447282 Conference Room: Join Zoom Meeting Meeting ID: 506 875 4099 https://zoom.us/j/5068754099 2024 IEEE Metropolitan AI Applications Symposium Symposium Program 10:00AM: Welcome Messages Prof. Yu-Dong Yao (IEEE North Jersey Section) 10:05AM: Keynote Speaker: Prof. Zhifeng Kou, NJIT AI in Medical Imaging: An Initial Investigation 10:40AM: Syon Doshi, Stevens Institute of Technology Autonomous Driving and Machine Learning 10:50AM: Cleopatra Mozolewski, Stevens Institute of Technology Bond Pricing Using Deep Learning 11:00AM: Aditi Dam, Stevens Institute of Technology Reading Comprehension Using Deep Learning 11:10AM: Colm Murrer, Stevens Institute of Technology Visual Arts Classified by Deep Learning 11:20AM: Rose Friedman, Stevens Institute of Technology AI and Gardening 11:30AM: xxxxx xxxx, xxxxx xxxxxxx xxxx xxxxxx xxxxx xxxxx xxxxx xxxxxx 11:40AM: xxxxxx xxxxx, xxxxxxx xxxxx xxxx xxxx xxxx xxxx xxxx xxxx xxxx xxxx 12:15PM: Conclusion Remark Prof. Yu-Dong Yao (IEEE North Jersey Section) Registration IEEE member $ 0.00 Non-member $ 0.00 IEEE Student/Graduate Student/Life Member $ 0.00 Non-IEEE Student/Graduate Student $ 0.00 Organizing Committee Prof. Yu-Dong Yao, IEEE North Jersey Section Prof. Elisa Kallioniemi, NJIT, Newark Prof. Wei-Ping Zhu, Concordia University, Montreal Virtual: https://events.vtools.ieee.org/m/447282