CLAS Excom is hosting an event for CLAS students on Thursday, May 29, 2025, at the water-front patio of the Red Whiskey Restaurant in Marina Del Rey during the Happy Hour from 4-6 PM. Please join us as we will announce the recipient of one of our outstanding student awards. Below is a copy of […]

IEEE San Diego Student YP Beach Hangout 📍 South Mission Beach Park – 339 N Jetty Rd, San Diego, CA 92109 🗓 Thursday, May 29th | 6:00 PM Come enjoy the sun, sand, and networking at Mission Beach Park with IEEE Young Professionals San Diego! This casual beach hangout is the perfect opportunity for students, […]

IEEE San Diego Student YP Beach Hangout 📍 Mission Beach Park – 3000 Mission Blvd, San Diego, CA 92109 🗓 Thursday, May 29th | 6:00 PM Come enjoy the sun, sand, and networking at Mission Beach Park with IEEE Young Professionals San Diego! This casual beach hangout is the perfect opportunity for students, interns, and […]

Our meeting sponsor is ManTech. The address is the ManTech office, next door to Lanikai Juice (between Starbucks and Highway Inn). 5:00 - No-host Pau Hana with speaker, Mike Andrews, at Moku Kitchen, SALT at Kaka'ako. If you would like to join us at Moku Kitchen, send an email to [email protected] 6:30 - Meeting across […]

Our meeting sponsor is ManTech. The address is the ManTech office, next door to Lanikai Juice (between Starbucks and Highway Inn). 5:00 - No-host Pau Hana with speaker, Mike Andrews, at Moku Kitchen, SALT at Kaka'ako. If you would like to join us at Moku Kitchen, send an email to [email protected] 6:30 - Meeting across […]

Join us for a quick introduction o high speed applications and demo on ZNA usage for Samtec 224Gbps new connector board as well as application of the D-band modules. This seminar provides an overview of high-speed measurement best practices with a focus on network analyzer applications in next-generation interconnects and SerDes characterization. We will discuss […]

Join us for ConnectUp: Speed Networking by IEEE, a dynamic hybrid event designed to build meaningful professional connections among IEEE Young Professionals and students from around the world. This initiative will feature two engaging sessions: - Virtual Knowledge Exchange Day – Participate in international discussions, share insights, and explore global opportunities in engineering, technology, and […]

This event is a pivotal initiative to support emerging professionals and elevate their resilience and leadership potential, especially for women in engineering. It will strengthen the IEEE Honduras community by building a stronger bridge between students and professionals and by fostering mentoring opportunities and peer support networks. Co-sponsored by: Honduras Section Bldg: Magnola Bistro, Col. […]

The virtual session on “Future Trends in Robotics & Industry 4.0”, organized by Y2NPro under IEEE Young Professionals Sri Lanka, will be held on the 1st of June 2025, from 5:00 PM to 7:00 PM IST, via Zoom. As part of the Robotics in Industry 4.0: Automation and Smart Manufacturing Workshop Series, this session will […]

IEEE International Symposium on 6G Mobile Wireless Communication 📅 2nd – 3rd June 2025 📍 Indian Institute of Technology (IIT) Patna We are delighted to invite you to the IEEE International Symposium on 6G Mobile Wireless Communication, scheduled to be held on 2nd and 3rd June 2025 at the Indian Institute of Technology (IIT) Patna). […]

Trends in modern wireless communications, including the use of massive MIMO and millimeter wave frequencies, have supported an increased deployment of electrically large antennas. This created technical and economic challenges as many EMC or regulatory tests require a far-field condition. This talk provides an overview of the recent findings in defining the shortest possible far-field […]

Collection and analysis of data from deployed networks is essential for understanding modern communication networks. Data mining and statistical analysis of network data are often employed to determine traffic loads, analyze patterns of users' behavior, and predict future network traffic while various machine learning techniques proved valuable for predicting anomalous traffic behavior. In described case […]