This initiative provides an opportunity for you to engage with and inspire young students aged 8-13 in the Middletown area by teaching them about STEM topics. Penn State Harrisburg's IEEE will provide all the necessary equipment for your sessions. By signing up, you commit to just one hour on a specific Monday. This represents a straightforward and impactful way to share your passion for STEM with eager young minds. Choosing to be part of this program can significantly influence a young student's learning perspective. It offers a valuable opportunity to play a part in nurturing the next generation's interest in the STEM fields. This opportunity is specifically available to Penn State Harrisburg students eager to volunteer their time and knowledge. Co-sponsored by: Middletown Public Library Room: Second floor , Bldg: Middletown Public Library, 20 N Catherine St, Middletown, Pennsylvania, United States, 17057

This program offers an opportunity to share your passion for a subject by teaching STEM topics to students aged 13-18. IEEE Penn State Harrisburg will provide the necessary equipment for your sessions and transportation to the library. By signing up, you agree to a one-hour teaching slot on a Monday. It's a straightforward way to contribute and share your STEM interests with enthusiastic learners. If you're interested, your participation could significantly impact a student's learning path. We invite you to join this initiative and play a role in inspiring the next generation in STEM fields. You have to be a Penn State Harrisburg student to volunteer. Co-sponsored by: Middletown Public Library Room: Second floor , Bldg: Middletown Public Library, 20 N Catherine St, Middletown, Pennsylvania, United States, 17057

IEEE R2 Mini-Sync Planet Positive 2030 Initiative: Dr. Maike Luiken, John C. Havens Agenda: Planet Positive 2030 Initiative Virtual: https://events.vtools.ieee.org/m/389646

[] Prof. Shlomi Dolev, Executive Director of the BGU-Negev Hi-Tech Faculty Startup Accelerator, will present on Post Quantum Internet. The need for a post-quantum Internet is emerging, and this is a great opportunity to re-examine the legacy of public key infrastructure. There is a need for perspective on the evolution of cryptography over the years, including the perfect information-theoretical secure schemes and the computationally secure schemes, in particular. There is also a need to examine the evolving Internet infrastructure to identify efficient design and secure cryptographic schemes over the existing Internet infrastructure. A combination of overlay security, blockchain, and Merkle trees with Lamport’s signatures offers just such an easily implementable post-quantum Internet over the existing Internet. The talk will cover recent research that resulted in start-ups creation initiatives, including Secret Double Octopus, SecretSkyDB, SodsBC. Speaker(s): Prof. Shlomi Dolev, Virtual: https://events.vtools.ieee.org/m/414083

This PCB Design and Soldering workshop will allow students to learn how to design printed circuits boards and solder the components to create a working device. The workshop will introduce you to the basics of Printed Circuit Board (PCB) design using KiCad, an open-source software, followed by a hands-on soldering session. Room: 201A, 1947 N 12th St, Philadelphia, Pennsylvania, United States, 19122

Join us for the first installment of our hands-on workshop series, where you'll learn to design your own PCBs, similar to those featured in our popular IEEE soldering workshops (including designs like the Piano, Snowflake, Jack-o-Lantern, Flower, and Heart). Open to all students across majors, this introductory session will guide you through the essentials: - Software Setup: Installing KiCad on your laptop. - Tool Exploration: A comprehensive overview of KiCad's features and capabilities. - Your First PCB: Creating a basic yet functional Printed Circuit Board (PCB) design. Following this, our second workshop will dive into more complex PCB designs, with the exciting opportunity to have your creation printed by IEEE. This experience is not only a fantastic way to enhance your resume but also equips you with a critical skill set for engineering projects, including your Capstone. What to Bring: Your laptop, equipped with a willingness to learn and create. Don't miss this chance to elevate your technical skills and prepare for future projects with KiCad. Co-sponsored by: Penn State University-Harrisburg Room: E244 , Bldg: Olmsted , 777 W Harrisburg Pike, Middletown, Pennsylvania, United States, 17057

Join SEL application engineers Travis Remlinger and Austin Burfield along with Doble application engineer Miguel Aguirre to design and set generator relay protective elements. Hands-On demonstration of the Schweitzer Engineering Laboratory SEL-400G Advanced Generator Protective Relay using SEL Grid Configurator software. Then simulate/test the protective relay elements with the Doble/Manta MTS-5100 Power System Simulator and relay test set using secondary injection. - Brief Generator theory of operation - Software overview - SEL Grid Configurator - 400G Overview - 64G1 Stator ground fault detection - 40 Loss of field detection - Setting the 400G - 24 Volts/Hz - 64 Stator Ground - 87 Differential - 85 Rate of Change of Frequency - 81A Accumulated Frequency - 78 Out of Step - 40 Loss of Field - 81 (O/U) Over/under frequency - 59/27 Over/under voltage - Testing some 400G elements - 24 Volts/Hz - 64 Stator Ground - 87 Differential - 85 Rate of Change of Frequency - 81A Accumulated Frequency - 78 Out of Step - 40 Loss of Field - 81 (O/U) Over/under frequency - 59/27 Over/under voltage Speaker(s): Travis, Austin, Miguel Room: WH-205, Bldg: CSU - Washkewicz Hall - Engineering Building - Visitor parking available in Lot 54 at E24th & Payne Ave., 2300 Chester Ave, Cleveland, Ohio, United States

IEEE Central Pennsylvania Section in conjunction with Penn State EE department would like to welcome faculty and graduate students to join us for coffee and donuts and discuss research, collaboration, and IEEE. University Park, Pennsylvania, United States

Special Presentation by Junaid Islam Hosted by the Future Networks INGR Security and Privacy Working Group Date/Time: Friday, April 12th, 2024 @ 10am CDT / 11am EDT Talk Title: The Increasing Threats Of State Sponsored Cyberattacks Short Bio: Junaid Islam has 35 years of experience in secure communications. His protocols, algorithms and architectures have been incorporated into a broad range of commercial and US national security networks. Junaid began his career in the late 80s as an Expeditionary Communications Technician. In the 90s he developed the first implementation of Multi-Level Precedence and Preemption (MLPP) for US Department of Defense C2 applications using Frame Relay at StrataCom. At Cisco Junaid contributed to the priority queuing and buffer management for MPLS routing. Junaid next developed the first working Mobile IPv6 client to enable fast hand-off as well as IPv6 address scrambling for high side networks for the DoD’s Netcentric Warfare program. Most recently Junaid developed the first network-based Zero Trust Architecture using Software Defined Perimeter (SDP) which was adopted by NIST for their Zero Trust specification 800-207. Currently Junaid is developing new protocols for secure Smart City applications such as Energy and Transportation systems. Additionally Junaid also developed a new packet scheduling algorithm for wireless communications that integrates priority, network load and RF interference data. This new algorithm will be incorporated by NASA to enable multi-hop space communications. https://junaidislam.org/ Co-sponsored by: IEEE Future Networks Speaker(s): Junaid Islam Virtual: https://events.vtools.ieee.org/m/416815

Station Setup and Equipment - Transceivers: Integration of receivers, transmitters, and transverters for band conversion. - Receiver Specs: Importance of sensitivity for signal detection and selectivity for distinguishing close signals. - Amplifiers: Use of RF power amplifiers for transmitted signals and preamplifiers (or Low Noise Amplifiers) for received signals. - Mixers and Oscillators: Essential for converting and generating signals, with superheterodyne receivers highlighted for their stability and ease of design. Operating Stations - Mobile and Portable Stations: Discussion on the setup for vehicle-based and portable radio stations, emphasizing power supply considerations. - Digital Stations: Addresses wiring issues and grounding techniques, recommending ferrite beads for microphones and copper braid for RF grounding. Operating Controls - Audio and Frequency Controls: Covers microphone gain, squelch settings, variable frequency oscillators (VFO), and memory storage for frequencies. - Repeater Controls: Instructions on setting repeater offsets, understanding digital repeater channels (talkgroups), and internet-based radio operations (All-Star hotspots and Echolink). Common Issues - RFI (Radio Frequency Interference): Explains fundamental overload, harmonics, spurious emissions, RF feedback, and over-deviation as common RFI issues. - Neighbor Interference: Responsibilities of amateur radio operators to avoid interference with neighbor's electronics, with solutions like band reject filters. Basic Test Tools - Multimeter Usage: Guidelines for measuring voltage, resistance, and soldering tips, distinguishing between acid-core and rosin-core solder for electronic work. Co-sponsored by: Penn State University-Harrisburg Student Government Association Room: E244 , Bldg: Olmsted , 777 W Harrisburg Pike, Middletown, Pennsylvania, United States, 17057

Simulation-driven design changed product development forever, enabling engineers to reduce design, iterations, and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles as well as help create “Digital Twins”. With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. This talk will focus on advanced CEM simulation tools that incorporate numerical methods, such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), Finite Element Method (FEM), Finite Difference Time Domain (FDTD), Physical Optics (PO), Ray Lunching Geometrical Optics (RL-GO), and Uniform Theory of Diffraction (UTD). As the complexity of connected devices increases each day, designers are taking advantage of AI/ML to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, that can be utilized for comparison studies, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins. Co-sponsored by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities Speaker(s): C.J. Reddy Agenda: Simulation-driven design changed product development forever, enabling engineers to reduce design, iterations, and prototype testing. Increasing scientific computing power expanded the opportunity to apply analysis, making large design studies possible within the timing constraints of a program. Now engineering adoption of Artificial Intelligence (AI) and Machine Learning (ML) is transforming product development again. Combination of physics-based simulation-driven design with machine learning, leveraging the latest in high-performance cloud computing, enables industry to explore more and identify high-potential designs – while rejecting low-potential concepts – even earlier in development cycles as well as help create “Digital Twins”. With the increase in connected devices and platforms (such as 5G, 6G, C-V2X, ADAS etc.), advanced computational electromagnetic (CEM) tools have become part of the product design cycle. Now numerical simulations can be performed to evaluate the effects of antenna design, placement, radiation hazard, EMC/EMI, etc. for wide ranging industry applications. Interfacing with propagation tools, system level design can be accomplished that includes operating environment of the devices for device connectivity and throughput. Advent of cloud computing and AI/ML, and convergence with CEM simulations made connected, smart device design faster with reduced time from concept to the market propelling productivity and innovation. This talk will focus on advanced CEM simulation tools that incorporate numerical methods, such as Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), Finite Element Method (FEM), Finite Difference Time Domain (FDTD), Physical Optics (PO), Ray Lunching Geometrical Optics (RL-GO), and Uniform Theory of Diffraction (UTD). As the complexity of connected devices increases each day, designers are taking advantage of AI/ML to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, that can be utilized for comparison studies, stochastic analysis for tolerance studies etc. Use of cloud computing combined with AI/ML, many design iterations can be performed in a short period and reducing the time to market. This talk will also focus on future trends in cloud computing for physics-based simulations and the emerging topics such as Digital Twins. Virtual: https://events.vtools.ieee.org/m/410052