At the TryEngineering Summer Institute (https://tryengineeringinstitute.ieee.org/), teens will explore various engineering fields, such as electrical, civil, mechanical, and aerospace. Our STEM summer course allows you to meet working engineers and experience VIP tours of engineering companies and centers. Learn new skills and engage in hands-on projects that explore how engineers can solve real-world problems. Program highlights found here: https://tryengineeringinstitute.ieee.org/summer-program/ See tuition information for enrollment in one 10-day session online-- these are on-campus residential camps with commuter-day options. Philadelphia, PA (University of Pennsylvania) - Session 1: July 9, 2023 - July 18, 2023 - sold out - Session 2: July 21, 2023 - July 30, 2023 Houston, Texas (Rice University) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 San Diego, California (University of San Diego) - Session 1: June 30, 2023 - July 9, 2023 - Session 2: July 12, 2023 - July 21, 2023 Co-sponsored by: IEEE Educational Activities - TryEngineering Summer Institutes San Diego, California, United States, 92110

IEEE Electronic Packaging Society Distinguished Lecture With the increasing demands for higher signal speeds coupled with the need for decreasing feature sizes, signal integrity effects such as delay, distortion, reflections, crosstalk, ground bounce and electromagnetic interference have become the dominant factors limiting the performance of high-speed systems. These effects can be diverse and can seriously impact the design performance at all hierarchical levels including integrated circuits, printed circuit boards, multi-chip modules and backplanes. If not considered during the design stage, signal and power integrity effects can cause failed designs. Since extra iterations in the design cycle are costly, accurate prediction of these effects is a necessity in high-speed designs. Consequently, preserving signal integrity has become one of the most challenging tasks facing designers of modern multifunction and miniature electronic circuits and systems. This talk provides a comprehensive approach for understanding the multidisciplinary problem of signal and power integrity: issues/modeling/analysis in high-speed designs. Speaker(s): Prof. Ram Achar Agenda: 6:30 PM : Announcements and Introduction of Speaker 6:40 PM - Talk 7:20 PM - Q and A Room: Meeting Room, Bldg: Patrick Henry Library, 101 Maple Ave E, Vienna, Virginia, United States, Virtual: https://events.vtools.ieee.org/m/365848

Thermal and power systems are tightly coupled and dynamically integrated. The different time scales in thermal and power responses make the integrated thermal and power management problems intriguing and challenging. For connected and automated vehicles (CAVs), the availability of predictive traffic information and the ability to coordinate multiple control subsystems allow us to explore the thermal-power interactions in new dimensions to enhance safety and improve fuel economy. It presents a perfect example where prediction, estimation, control, and optimization serve as the cornerstones for technology breakthroughs in the interconnected and dynamic environment. The talk will discuss the problems, explore the effective tools, and showcase some illustrative solutions. Speaker(s): Jing, Virtual: https://events.vtools.ieee.org/m/360922

This is a weekly session of the CIT Summer Series, with David A. Bader presenting Solving Global Grand Challenges with High Performance Data Analytics : Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community structure in large social networks; protecting our elections from cyber-threats, and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and architectures, and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams. In this talk, Bader will discuss the opportunities and challenges in massive data science for applications in social sciences, physical sciences, and engineering. Speaker(s): David A Bader, Virtual: https://events.vtools.ieee.org/m/364003