Virtual Graduate Study Consortium (VGSC) WORKSHOP at LACCEI

San Jose, San Jose, Costa Rica, Virtual: https://events.vtools.ieee.org/m/426370

This 2 hours workshop is an opportunity to learn more about the IEEE SA standards sponsored by IEEE Education Society (EdSoc), the IEEE SA Std. 1876-2019 on Networked Smart Learning Objects for Online Laboratories and IEEE SA P2834 Standard for Secure and Trusted Learning Systems co-sponsored by IEEE Industrial Electronics Society and IEEE Computer Society / Learning Technology Standards Committee. This event offers students, faculty, and industry members the opportunity to collaborate around the EdSoc Virtual Graduate Study Consortium (VGSC) and motivate their future participation in IEEE SA working groups. Co-sponsored by: LACCEI (Latin American and Caribbean Consortium of Engineering Institutions) Speaker(s): Dr. Hamadou Saliah-Hassane, Dr.Carlotta A. Berry , Dr. Luis Felipe Zapata-Rivera, Dr. Idalis Villanueva, Dr. Juan Guillermo Lalinde, Cihan, Pablo, Dr. Manuel Macias Agenda: Agenda (Easter Time): 4:00 pm – 4:10 pm Welcome and Introduction IEEE SA Std.1876-2019 (Dr. Luis Felipe Zapata-Rivera) 4:10 pm – 4:20 pm The IEEE Virtual Graduate Study Consortium (Dr. Hamadou Saliah-Hassane) 4:20 pm – 4:30 pm Understanding the ethics and safeguards for human subject research in engineering education and practice (Dr. Idalis Villanueva) 4:30 pm – 4:40 pm Overview IEEE SA P2834: (Dr. Juan Guillermo Lalinde) 4:40 pm – 4:50 pm Overview IEEE SA P P2834.1 (Dr. Cihan Varol) 4:50 pm – 5:00 pm Industry: LabsLand (™) Scaling up remote labs: real-time and ultra-concurrent labs(Dr. Pablo Orduña) 5:00 pm – 5:10 pm Industry: LAB-VEE (™) (MS. Reymi Then) 5:10 pm – 5:20 pm Laboratorios inmersivos Hibridos (Dr. Manuel Macias) 5:20 pm – 6:10 pm Practical activity Robotics (Dr. Carlotta Berry) San Jose, San Jose, Costa Rica, Virtual: https://events.vtools.ieee.org/m/426370

Comsoc and Computer Joint meeting: Mathematical Artificial Intelligence

Virtual: https://events.vtools.ieee.org/m/426757

Mathematical Artificial Intelligence By Prof. Shui Yu University of Technology Sydney Abstract: Artificial Intelligence is a leading topic in both academia and industry, and explainable AI (XAI) is a critical and hot topic of the field. However, we noticed that XAI is not the core of the business, and we expect deterministic AI models. In this talk, we will report the current landscape of XAI, and then introduce the next stage after XAI – Mathematical AI (MAI). We will mainly present how the mathematical tools, such as differential geometry and group theory, are used build deterministic AI models. At the end of the talk, we will present some cases of the application of MAI. We hope the talk will shed light on the promising field for interested audience. Speaker(s): Dr. Shui Yu Agenda: Friday, July 19, 2024 4:00pm - 5:15pm Pacific Time Seminar with Q&A Any questions, please contact Dr. Zhensheng Zhang at [email protected] Virtual: https://events.vtools.ieee.org/m/426757

From Idea to Empire: Navigating the Entrepreneurial Journey

Room: RBCx Finance Quarter Room, 350 Legget Drive, Ottawa, Ontario, Canada

In this talk you will learn about the whole rational of company creation, its pros and cons and try to go into various metrics that show the extent of entrepreneurship in the USA and Canada. We will also address some key ideas that successful entrepreneurs use in their start up and growth phases. Can you be trained to be an entrepreneur? Let’s discuss that! We will examine what can go wrong and where the focus should be. What is nugatory effort? How do you find investors? Let’s dig together in what should be a very interactive discussion for the one hour scheduled. [] Speaker(s): , David Mann Room: RBCx Finance Quarter Room, 350 Legget Drive, Ottawa, Ontario, Canada

Intent-Based Management for Next-Generation Networks: an LLM-centric Approach

Virtual: https://events.vtools.ieee.org/m/427766

Title: Intent-Based Management for Next-Generation Networks: an LLM-centric Approach Intent-based networking (IBN) is crucial in enabling autonomous networks by specifying goals and constraints at a higher level to the Network Management System. TMForum has specified a dedicated architecture and model that rely on Intents to handle and manage communication services, paving the way for autonomous systems towards 6G. Intents that represent an abstracted operational goal specified by the communication service owner, which is usually provided as input to the Network Management System (NMS). The latter, in turn, generates the necessary low-level configurations to fulfill these Intents. The current model of expressing Intents still requires significant effort in writing JSON and YAML structures, demanding a detailed comprehension of the format and model specified by the Northbound Interface (NBI). This process is sometimes not straightforward, and adhering to the structure of these NBIs takes time. A natural evolution for IBN is to move beyond human-readable languages and transition towards natural language. In this talk, we will discuss the evolution of Intents in 6G relaying Large Language Model (LLM) that translates human language into operational intents to deploy communication systems, leveraging few-shot learning and human-in-the-loop Feedback. BIOGRAPHY []Adlen Ksentini is a professor in the Communication Systems Department of EURECOM. He is leading the Network softwarization group activities related to Network softwarization, 5G/6G, and Edge Computing. Adlen Ksentini's research interests are Network Sofwerization and Network Cloudification, focusing on topics related to network virtualization, Software Defined Networking (SDN), and Edge Computing for 5G and 6G networks. He has been participating to several H2020 and Horizon Europe projects on 5G and beyond, such as 5G!Pagoda, 5GTransformer, 5G!Drones, MonB5G, ImagineB5G, 6GBricks, 6G-Intense, Sunrise-6G and AC3. He is the technical manager of 6G-Intense and AC3, on zero-touch management of 6G resources and applications, and Cloud Edge Continuum, respectively. He is interested in the system and architectural issues but also in algorithm problems related to those topics, using Markov Chains, Optimization algorithms, and Machine Learning (ML). Adlen Ksentini has given several tutorials in IEEE international conferences, IEEE Globecom 2015, IEEEE CCNC 2017/2018/2023, IEEE ICC 2017, IEEE/IFIP IM 2017, IEEE School 2019. Adlen Ksentini is a member of the OAI board of directors, where he is in charge of OAI 5G Core Network and ORAN management (O1, E2) for OAI RAN activities. Speaker(s): Adlen, Virtual: https://events.vtools.ieee.org/m/427766

Careers in Technology Summer Series 2024 – Arun Vishwanathan – Model-based Approaches for Cyber Risk Assessment of Space Missions

Virtual: https://events.vtools.ieee.org/m/423705

Space assets such as satellites, drones and spacecraft are increasingly attractive targets for adversaries ranging from individual hackers, to hacker groups and nation states. This rapid rise in the cyber threat landscape necessitates smarter cyber tools to stay ahead of our adversaries. In this talk, I will present the work being done by the Cyber Defense Engineering and Research (CDER) group at JPL in addressing cyber challenges as pertaining to JPL’s missions. I will specifically focus on our work combining model-based engineering and AI-based reasoning to build a unique capability for automated cyber risk assessments. Speaker(s): Dr. Arun Vishwanathan Virtual: https://events.vtools.ieee.org/m/423705