Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckCareer Development Seminar, “Job-search Strategies and Interview Skills”
Room: 301, Bldg: ITE, 371 Fairfield Way, Storrs, Connecticut, United States, 06268 Fairfield Way, MansfieldConsultant Network Meeting at 6:00PM on Monday October 21, 2024 at the Imperial Buffet Shrewsbury MA
380 Maple Ave, Shrewsbury, Massachusetts, United States, 01545 Maple Avenue, ShrewsburyDelaware Bay Computer Chapter Meeting & Lecture “Geniuses at War” David Bondurant Guest Speaker
Virtual: https://events.vtools.ieee.org/m/437478Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckMulti-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
Room: Holmdel Township meeting room, Bldg: Bell Works, Holmdel Library, 101 Crawfords Corner road, Holmdel, New Jersey, United States, 07733, Virtual: https://events.vtools.ieee.org/m/437493 Crawfords Corner Road, HolmdelMulti-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
Room: Holmdel Township meeting room, Bldg: Bell Works, Holmdel Library, 101 Crawfords Corner road, Holmdel, New Jersey, United States, 07733, Virtual: https://events.vtools.ieee.org/m/437494 Crawfords Corner Road, HolmdelIEEE PCJS Fall ExCom
Room: Room CS 105, 35 Olden Street, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/440547 Olden Street, PrincetonMOVE Tech Talk – OCT 2024 – MOVE Networks – The Core of the MOVE Mission
Virtual: https://events.vtools.ieee.org/m/440370Careers in Technology Fall Series 2024 – Albert Shpuntoff 22 October 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/434309Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckMulti-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
Room: Holmdel Township meeting room, Bldg: Bell Works, Holmdel Library, 101 Crawfords Corner road, Holmdel, New Jersey, United States, 07733, Virtual: https://events.vtools.ieee.org/m/437493 Crawfords Corner Road, HolmdelIEEE-USA Livestream Webinar: Re-Entering the Workforce
Virtual: https://events.vtools.ieee.org/m/427453 SingaporePCB Seminar Series: Advanced Topic 1
Room: 155, Bldg: Olin Hall, 113 Ho Plaza, Ithaca, New York, United States, 14853 Ho Plaza, IthacaIt’s the perfect “timing” for optical frequency combs
Virtual: https://events.vtools.ieee.org/m/438066Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckAdvanced Conductors as a Reconductoring and New Line Solution (Free In-Person Seminar)
Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080 Hadley Road, South PlainfieldPhotonics Systems for High Performance – CPO, Towards Photonics Chiplets
Virtual: https://events.vtools.ieee.org/m/433297CubeSat, CubeSat Antennas, and Link Budget Analysis
Virtual: https://events.vtools.ieee.org/m/438346Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckDeep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckIntroduction to Neural Networks and Deep Learning (Part I) – Cancelled!
Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/414504 BostonDeep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckWeek of Events
Deep Learning With Applications
Deep Learning With Applications
September 21 through November 2, 2024. Six Saturdays 1:30-4:30pm (9/21, 9/28, 10/5, 10/19, 10/26, 11/2). The IEEE North Jersey Section Communications Society Chapter is offering a course entitled "DEEP LEARNING WITH APPLICATIONS". Deep learning is a transformative field within artificial intelligence and machine learning that has revolutionized our ability to solve complex problems in various domains, including computer vision, natural language processing, and reinforcement learning. This hands-on course on deep learning is designed to provide students with an understanding how these amazing successes are made possible by drawing inspiration from the way that brains, both human and otherwise, operate. Students will gain a comprehensive foundation in the principles, techniques, and applications of deep neural networks. Learning how to solve real data-set based applications will teach students how to really apply deep learning with Python programming software. Participants will be asked to design and train deep neural networks to perform tasks such as image classification using commonly available data sets. However, participants are encouraged to apply the techniques from this course to other data sets according to their interests. Discuss with the instructor in order to propose your own project. More importantly, this will set the foundations for understanding and developing Generative AI applications. The IEEE North Jersey Section's Communications Society Chapter can arrange for providing IEEE CEUs - Continuing Education Units (for a $5 charge) upon completion of the course. Course prices: $75 for Undergrad/Grad/Life/ComSoc members, $100 for IEEE members, $150 for non-IEEE members Co-sponsored by: Education Committee Speaker(s): Thomas Long, Agenda: 1. Introduction to Neural Networks: Explore the fundamental concepts of artificial neural networks, backpropagation, activation functions, and gradient descent, laying the groundwork for deep learning understanding. 2. Introduction to PyTorch: Learn how to implement and train neural networks using PyTorch one of the most popular deep learning frameworks. Understand tensors. 3. Computer Vision Applications: Apply deep learning to computer vision problems, including image classification and object detection using Convolutional Neural Networks (CNNs) 4. Training and Optimizing Deep Neural Networks: Study techniques for training deep neural networks effectively, including optimization algorithms, weight initialization, regularization, and dropout. 5. Sequential Data Analysis: Explore how deep learning is used to analyze sequential data using Recurrent Neural Networks (RNNs). In particular, explore how neural networks are used in Natural Language Processing (NLP) tasks such as sentiment analysis and machine translation. 6. Generative AI: Overview of generative ai techniques that leverage the patterns present in a dataset to generate new content. Applications of generative ai include large language models such as ChatGPT and image generation models such as Midjourney and Stable Diffusion. This course assumes a basic understanding of machine learning concepts and programming skills in Python. Familiarity with linear algebra and calculus will be beneficial, but not mandatory. Statistical software (Python, Scikit-learn) and Deep Learning Frameworks (Pytorch, TensorFlow) will be used throughout the course for the exploration of different learning algorithms and for the creation of appropriate graphics for analysis. Learning objectives: Subjects covered include these and other deep learning related materials: artificial neural networks, training deep neural networks, RNN, CNN, image recognition, natural language processing, GANs, data processing techniques, and NN architectures. The course is intended to be subdivided into 3-hour sessions. Each lecture is further subdivided into lecture, guided and independent project based exercises to build experience with hands-on techniques. This course will be held at FDU - Teaneck, NJ campus. Checks should NOT be mailed to this address. Can bring checks in person or use online payments at registration. Email the organizer for any questions about course, registration, or other issues. Technical Requirements: Students will need access to the Python programming language. In addition to a standard Python installation, most programming exercises will use the package Scikit-learn. Basic programming skills and some familiarity with the Python language are assummed. Students are expected to be able to bring a laptop onto which most of these libraries can be pre-installed using python's pip install. Most of the coding in this course will use the Python programming language. Coding examples and labs will be distributed in the form of Juypter notebooks. In addition to standard Python, most programming exercises will use either the PyTorch or TensorFlow libraries. Books and other resources will be referenced. Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666
Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
These two distinguished speakers are from European Space Agency, Netherlands. They will present the state of art work in the following areas. The objective of the two IEEE Distinguished Lectures consists in presenting the state of the art and the on-going developments in Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs). They find application in several fields including communications, remote sensing (e.g. radars, radiometers, etc.), electronic surveillance and defense systems, science (e.g. multibeam radio telescopes), RF navigation systems, etc. They may be installed on board satellites, airplanes, trains, buses, buildings, cars etc. MBAs and BFNs are becoming also fundamental elements in emerging MIMO and 5G communications. The BFN plays an essential role in any antenna system relaying on a set of radiating elements to generate a beam. The lectures cover both theoretical and practical aspects for the following topics: • Overview of system applications • Multibeam Antenna Architectures (based on Reflectors, Arrays, Lenses) • Beamforming Networks Analogue BFNs (Corporate, Blass, Nolen, Butler matrices, Digital BFNs) • Overview of some Operational Multibeam Antennas/BFNs • On-going European Developments • Current Design and Technological Challenges Co-sponsored by: Antennas and Propagation, Microwave Theory and Techniques and Communication Society Speaker(s): Giovanni, , Room: Holmdel Township meeting room, Bldg: Bell Works, Holmdel Library, 101 Crawfords Corner road, Holmdel, New Jersey, United States, 07733, Virtual: https://events.vtools.ieee.org/m/437493
Career Development Seminar, “Job-search Strategies and Interview Skills”
Career Development Seminar, “Job-search Strategies and Interview Skills”
We are excited to invite you to a Career Development Seminar, "Job-search Strategies and Interview Skills", hosted by the IEEE Control Systems Society Student Branch at UConn! Our speaker, Theo Menounos (Assistant Director, College of Engineering Career Readiness Lead, UConn Center for Career Readiness & Life Skills), will provide valuable insights on how students like you can develop effective job-search strategies and learn tips for excelling in interviews. Speaker(s): Theo Menounos Agenda: Date: October 21st, Monday Time: 3:00 PM to 4:00 PM Location: ITE Building, Room 301, 371 Fairfield Way, Storrs, CT 06268 Speaker: Theo Menounos (Assistant Director, College of Engineering Career Readiness Lead, UConn Center for Career Readiness & Life Skills) Plus, there will be an interactive Q&A session, where you can ask Theo anything about career development! Room: 301, Bldg: ITE, 371 Fairfield Way, Storrs, Connecticut, United States, 06268
Consultant Network Meeting at 6:00PM on Monday October 21, 2024 at the Imperial Buffet Shrewsbury MA
Consultant Network Meeting at 6:00PM on Monday October 21, 2024 at the Imperial Buffet Shrewsbury MA
The next meeting of the Worcester Section IEEE Consultants' Network will take place on Monday October 21, 6:00PM at the Imperial Buffet at 380 Maple Ave, Shrewsbury, MA 01545. We will start gathering at 6:00 PM for dinner and mingle informally. The Buffet meal is will have a co-pay of $20 cash at the restaurant. The co-pay is due at arrival between 6:00 and 6:30. Any arrivals after 6:30PM will be on their own bill without the group covering any part of the meal. Any alcohol is cash bar. We will start the Networking proceedings promptly at 6:30 PM and we will discuss the latest fee survey results. All are welcome to attend but you need to sign up as we need an accurate count. We will be organizing future meetings and topics of interest. I hope to see everyone there. Agenda: Introductions Meal Networking Planning for future events Fee Survey results discussion 380 Maple Ave, Shrewsbury, Massachusetts, United States, 01545
Computational Intelligence in Cybersecurity
Computational Intelligence in Cybersecurity
IEEE CIS Distinguished Lecturer Professor Dipankar Dasgupta will give a presentation on Computational Intelligence in Cybersecurity. Co-sponsored by: IEEE North Jersey Computer Society Chapter Speaker(s): Dr. Dipankar Dasgupta, Agenda: The presentation by the speaker is followed by a Q&A session. Virtual: https://events.vtools.ieee.org/m/438726
Delaware Bay Computer Chapter Meeting & Lecture “Geniuses at War” David Bondurant Guest Speaker
Delaware Bay Computer Chapter Meeting & Lecture “Geniuses at War” David Bondurant Guest Speaker
[] Discussion about Delaware Bay Computer Chapter, Meeting, & Lecture "Geniuses at War" with Guest Speaker David Bondurant. There will be a discussion about the vitality, activities, and officers of the Delaware Bay Computer Chapter, followed by a Guest Speaker. Following the exploits of the motley collection of geniuses installed at Bletchley Park during the Second World War, author David Price focuses mainly on the events and people involved in the invention of Colossus—the first programmable, electronic, digital computer, which was designed to break the German army’s Lorenz cipher. Speaker Bio: David Bondurant has been involved with the computer and semiconductor industry for 50-years. He was a computer architect at Control Data, Sperry-Univac, and Honeywell. He was involved with the government-sponsored advanced semiconductor program called VHSIC (Very High Speed Integrated Circuits) at Univac & Honeywell where he developed microprocessor and ASIC semiconductor products in bipolar CML, CMOS, and radiation hard CMOS. He was involved with emerging non-volatile RAM marketing at industry leading companies, Ramtron (FRAM), Simtek (non-volatile SRAM), and Freescale Semiconductor/Everspin Technologies Agenda: Opening Remarks and Introductions Discussion about the Delaware Bay Computer Chapter Vitality, Officers, Meetings, Activities Guest Lecture "Geniuses at War" with Guest Speaker, David Bondurant Virtual: https://events.vtools.ieee.org/m/437478
Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs)
These two distinguished speakers are from European Space Agency, Netherlands. They will present the state of art work in the following areas. The objective of the two IEEE Distinguished Lectures consists in presenting the state of the art and the on-going developments in Multi-Beam Antennas (MBAs) and Beam-Forming Networks (BFNs). They find application in several fields including communications, remote sensing (e.g. radars, radiometers, etc.), electronic surveillance and defense systems, science (e.g. multibeam radio telescopes), RF navigation systems, etc. They may be installed on board satellites, airplanes, trains, buses, buildings, cars etc. MBAs and BFNs are becoming also fundamental elements in emerging MIMO and 5G communications. The BFN plays an essential role in any antenna system relaying on a set of radiating elements to generate a beam. The lectures cover both theoretical and practical aspects for the following topics: - Overview of system applications - Multibeam Antenna Architectures (based on Reflectors, Arrays, Lenses) - Beamforming Networks - Analogue BFNs (Corporate, Blass, Nolen, Butler matrices, Digital BFNs) - Overview of some Operational Multibeam Antennas/BFNs - On-going European Developments - Current Design and Technological Challenges Co-sponsored by: Antennas and Propagation, Microwave Theory and Techniques and Communication Society Speaker(s): Giovanni, Peiro, Room: Holmdel Township meeting room, Bldg: Bell Works, Holmdel Library, 101 Crawfords Corner road, Holmdel, New Jersey, United States, 07733, Virtual: https://events.vtools.ieee.org/m/437494
IEEE PCJS Fall ExCom
IEEE PCJS Fall ExCom
IEEE PCJS Fall ExCom Meeting. Agenda Follows Agenda: - Welcome note and Dinner - Chair/ViceChair/Treasurer/Secretary Report Out - Society/Chapter Report Out - Conference Report Out, - Open discussion Room: Room CS 105, 35 Olden Street, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/440547
MOVE Tech Talk – OCT 2024 – MOVE Networks – The Core of the MOVE Mission
MOVE Tech Talk – OCT 2024 – MOVE Networks – The Core of the MOVE Mission
Tim Troske will be our presenter. MOVE networks provide critical internet access to the Red Cross during disasters when all communications are inoperable. This tech talk will explore the operations, architecture, technical implementation, and recent improvements to MOVE data and voice networks. Tim Troske will provide an overview of the MOVE Truck networking equipment and configuration. This will include how LTE 5G and Starlink is used to provide internet access to the Red Cross, first responders and the public. It will also provide a high-level view of the logical VLAN configuration and how dedicated secure networks are provided to the Red Cross, first responders and MOVE. Co-sponsored by: IEEE-USA MOVE Program Speaker(s): Tim Troske Virtual: https://events.vtools.ieee.org/m/440370
Careers in Technology Fall Series 2024 – Albert Shpuntoff 22 October 8pm EST / 7 pm CST
Careers in Technology Fall Series 2024 – Albert Shpuntoff 22 October 8pm EST / 7 pm CST
Mr Al Shpuntoff will do a deep dive into his career as a consultant in Bioinformatics, Computational Biology, High Performance Computing (HPC), Sequencing informatics, including Coding and Design. He will cover his work as a consultant, contracts with various government organizations, and government projects of special interest including but not limited to projects to identify remains. For example, he will cover his work with The Henry M. Jackson Foundation for the Advancement of Military Medicine, where he worked with the DPAA project at Offutt, as data science and bioinformatics specialist, on a project identifying remains of casualties and MIAs from past combats. He will also incorporate his background, how he prepared for this career, and a discussion about Technical Marketing, Exceptional Customer Support, and first-class technical training and education. Speaker(s): Albert Shpuntoff Virtual: https://events.vtools.ieee.org/m/434309
IEEE-USA Livestream Webinar: Re-Entering the Workforce
IEEE-USA Livestream Webinar: Re-Entering the Workforce
This webinar is a collaboration between IEEE-USA and IEEE Women in Engineering (WIE). Trying to re-enter the workforce after an extended absence presents challenges, and can be a daunting task. Changes have happened in the workplace and in technologies used. The atmosphere and expectations may have changed (for example, the impacts COVID had on remote work for many jobs!) You have changed… and self-doubt may have crept in after being away! However, preparing in advance is the key to easing the challenges. In this talk, you will hear about my own return to work after 12 years of minimal part-time employment in my field, and also information from my own research into what experts recommend. You will learn: - What is an extended absence (and the impact of how long “extended” is!) - Why it is important to prepare for returning - When to start preparing - How to prepare - Who to seek out for support / assistance - Where to look for opportunities Speaker(s): Jill Gostin Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. Learn about our sponsor: the IEEE Member Group Insurance Program - Powered by AMBA. AMBAspecializes in providing tailored insurance solutions for IEEE members. Whether you’re seeking health, life, or disability coverage, AMBA has you covered. Visit the IEEE Member Group Insurance Program website to explore the benefits and options available to you: (https://www.ieeeinsurance.com/) For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/427453
PCB Seminar Series: Advanced Topic 1
PCB Seminar Series: Advanced Topic 1
Oct 23rd, 4:30 to 6:00 PM (+30 min to 6:30 for questions): Advanced topic 1 - high-speed/mixed signal layout considerations. Co-sponsored by: IEEE Cornell Student Section Room: 155, Bldg: Olin Hall, 113 Ho Plaza, Ithaca, New York, United States, 14853
It’s the perfect “timing” for optical frequency combs
It’s the perfect “timing” for optical frequency combs
Optical frequency combs, with their unique features in both the time and frequency domains, have transformed precision science and engineering over the last two decades. In this lecture, I will present on the latest progress in the ultralow-noise frequency combs and their applications with an emphasis on precision timing, synchronization, and microwave/mm-wave photonics. Both mode-locked laser combs and chip-scale micro-combs can reach quantum-limited timing jitter performances, which allows for various timing applications with unprecedented precision. I will present innovative comb timing applications including attosecond optical timing, on-chip clock distribution networks, ultralow-noise microwave/mm-wave signal generation, photonic analog-to-digital conversion, ranging, imaging and vibration sensing, and timing and synchronization for ultrafast X-ray/electron science and radio astronomy. Speaker(s): Jungwon Agenda: This TALK IS ONLINE ONLY. Please register for the talk. There is no fee for this talk. 6:30 - 7:30 PM: Speaker Introduction and Distinguished lecture Virtual: https://events.vtools.ieee.org/m/438066
Advanced Conductors as a Reconductoring and New Line Solution (Free In-Person Seminar)
Advanced Conductors as a Reconductoring and New Line Solution (Free In-Person Seminar)
The topics to be covered are: Technical discussion on ACCC as an advanced conductor option replacing ACSR and ACSS. - Conductor design - Key Technical Benefits - Testing and Case Studies - Line Design with ACCC - Federal and State Outlook – FERC 1920 + NJ State proposed ruling - Commercial Outlook Speaker(s): Jack, Jaunice Agenda: There will be no charge for this seminar (other than fee for CEUs). We will provide breakfast (lunch will NOT be provided). Two hours of instruction will be provided. If desired, IEEE Continuing Education Units (0.2 CEUs) will be offered for this course - a small fee of $25 will be required for processing. Please pay attention to the “Registration Fee” and choose the appropriate choice either with or without CEUs. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080
Photonics Systems for High Performance – CPO, Towards Photonics Chiplets
Photonics Systems for High Performance – CPO, Towards Photonics Chiplets
A major hurdle in developing next-generation systems for high-performance applications and industries that require handling large, secure data - such as System-in-Package (SiP) and System-on-Chip (SoC) - is the absence of low-latency, high-bandwidth, and high-density off-chip/chiplet/core interconnects. Achieving high-bandwidth chip-to-chip (or chiplet-to-chiplet) communication using electrical interconnects faces challenges like high substrate dielectric losses, reflections, impedance discontinuities, and susceptibility to crosstalk. This underscores the motivation to adopt photonics to address these challenges and enable low-latency, high-bandwidth communication. The objective is to develop a CMOS-compatible technology to support the next-generation photonic layer within 3D SiP/SoC, moving towards converged microsystems. Co-sponsored by: Habib Hichiri Speaker(s): Tolga Tekin, Virtual: https://events.vtools.ieee.org/m/433297
CubeSat, CubeSat Antennas, and Link Budget Analysis
CubeSat, CubeSat Antennas, and Link Budget Analysis
CubeSat, a modular type of standardized modern small satellites, have been gaining steady popularity and attention from universities and space industries. In addition to education purpose, CubeSats have various promising applications as low-cost space exploration vehicles for technology demonstrations, multi-point observations of space environment, and monitoring/reporting proper deployment of expensive deep space instruments. Antennas are critical components for CubeSat missions. A CubeSat antenna may provide some or all of the following functions: telemetry, tracking, command (TT\&C), high speed downlink for payload data, receiving positioning data, and inter-satellite cross links. Most often, different antennas are required to keep the CubeSat assembly in modular fashion. On the other hand, antenna engineers strive to create solutions that could pack more functionality into one unit. This brings up a need to understand basics of CubeSat development cycle and link budget analysis, so that an electrical engineer would have sound knowledge of limiting factors (posed by the mechanical system and hardware of a CubeSat) to the antennas design. With rapid advancement of electronics, novel mechanical design, and aerospace technology, new progress in CubeSats is emerging every day. This calls for interests and early involvements of creative young minds. The objective of this presentation is to convey the basics of CubeSat development cycle, launch methods, typical CubeSat orbits, link budget analysis, various antenna solutions, and feasible classroom projects. This lecture is open to everyone and IEEE membership is not required. [] Speaker(s): Prof. Reyhan Baktur Agenda: 11:45am - WebEx Waiting Room 12:00pm-1:00pm - Presentation 1:00pm-1:15pm - Questions Virtual: https://events.vtools.ieee.org/m/438346
IEEE Region-1 Women in Engineering Meeting
IEEE Region-1 Women in Engineering Meeting
IEEE Region-1 Women in Engineering Affinity Group officers and volunteers - a Virtual meeting to share updates about the activities, information about upcoming events, opportunities, and discussions. [] Agenda: A brief discussion about past events and upcoming events by R1 WIE Co-Ordinator Dr. Anisha Apte A brief discussion about the R1R2 WIE Forum East by Dr. Charlotte Blair Discuss past and upcoming events, addressing queries of the officers attending the meeting. Virtual: https://events.vtools.ieee.org/m/441717
IEEE Guide for Distribution Grid Resilience Metric
IEEE Guide for Distribution Grid Resilience Metric
In the past decade, the global shift towards addressing climate change has highlighted the electric grid as a critical enabler in achieving net-zero emissions. Electrification demands from sectors like transportation and buildings rely heavily on a resilient, reliable grid—especially as extreme weather events, such as wildfires and hurricanes, increasingly challenge its stability. Ensuring continuous power during these events is crucial, both for maintaining infrastructure and minimizing disruption to daily life. As a result, stakeholders across governments, utilities, and regulatory bodies are focusing more than ever on policies and initiatives to enhance grid resiliency. However, a fundamental question arises: how do we effectively measure grid resiliency? Developing metrics that assess the grid's ability to withstand and recover from extreme weather events is essential to ensure progress. This talk will introduce a comprehensive resiliency metric framework, designed to evaluate the grid's performance in adverse weather conditions. The metrics fall under two categories: System Performance, which assesses the grid's ability to endure extreme events, and Operational Performance, measuring its recovery capacity. Through this framework, we can better understand, measure, and enhance the resilience of our electric distribution grid. Speaker(s): Shikhar Pandey Virtual: https://events.vtools.ieee.org/m/436242