The IEEE North Jersey Section Education Committee and Communications Society Chapter is offering a course entitled "T-Paper: Technical Paper Writing and Publication: AI Research and its Applications". This event is organized in collaboration with Canadian-American-Ghanaian Research Forum on AI Technologies. IEEE North Jersey Section and Professor Yu-Dong Yao, Editor-in-Chief of "AI Engineering" and IEEE Fellow, will organize a four-session hands-on training class on technical paper writing and publication. The class will meet on Saturdays via Zoom, with each session lasting one hour. The hands-on training (with exercises to teach and aide in the publication process) will cover topic selection, research data preparation, paper writing, and paper submission. Participants will learn practical steps towards preparing and submitting a technical research paper, with the goal of becoming a published author within eight weeks. Prerequisites: 1. Undergraduate juniors/seniors, graduate students, or working professionals. 2. Basic understanding of AI concepts. 3. Prior research experience related to AI. Class Schedule: Four Saturdays 9-10am May 23 through June 13, 2026. (5/23, 5/30, 6/6, 6/13). Four Zoom meetings, one hour each. Zoom meeting ID: No tuition fees, but must register online to attend. For more information: Please contact Prof. Yao at yyao @ ieee . org Co-sponsored by: Education Committee Virtual: https://events.vtools.ieee.org/m/558194

In an era defined by constant disruption—driven by rapid technological evolution, shifting customer expectations, regulatory pressures, and geopolitical uncertainty—enterprises must move beyond episodic transformation toward continuous reinvention. This webinar, presented by Abdelkrim Doufene and Thierry de Bernouis from Dassault Systèmes, introduces the concept of the Virtual Twin of Organization (VTO) as a foundational capability for next-generation enterprises. Building on the 3DEXPERIENCE platform, VTO enables organizations to model, simulate, and optimize their operating models in a virtual environment. By integrating people, processes, systems, and agentic AI, enterprises can explore a vast space of strategic possibilities, anticipate disruptions, and continuously adapt with agility. This approach supports a “left shift” in decision-making—allowing organizations to assess impacts before execution and accelerate value realization. Through cross-industry use cases in manufacturing and services, the session will illustrate how Virtual Twins of Organizations enhance operational efficiency, reduce costs, improve performance, and enable smarter, data-driven decisions. Attendees will gain insights into how generative AI and virtual environments converge to create a decision-centric enterprise—capable of faster, more resilient, and sustainable transformation. Co-sponsored by: Cherif Chibane Speaker(s): Abdelkrim, Thierry Agenda: Virtual: https://events.vtools.ieee.org/m/558380