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

SELECTED TOPICS IN RF AND MICROWAVE TECHNOLOGIES FOR COMMERCIAL AND MILITARY APPLICATIONS Agenda: Table Preference (Not Guranteed): Hanover Manor, 16 Eagle Rock Ave, East Hanover, New Jersey, United States, 07936

SELECTED TOPICS IN RF AND MICROWAVE TECHNOLOGIES FOR COMMERCIAL AND MILITARY APPLICATIONS TECHNICAL SESSIONS 10 –12 LECTURES FEATURING SPEAKERS FROM LEADING COMPANIES, WITH EMPHASIS ON MILITARY ELECTRONICS, WIRELESS TECHNOLOGIES AND MICROWAVE COMMUNICATIONS. MINI SHOW FEATURING MANUFACTURERS WITH LATEST PRODUCTS IN INSTRUMENTATION, COMPONENTS, SUBSYTEMS AND INTERCONNECTS (APPX. 40 plus EXHIBITORS) (COMPLIMENTARY LUNCH SERVED) Details of the schedule, speakers, and topics will be posted on the IEEE North Jersey section website by September 2024. Hanover Manor , 16 Eagle Rock Ave, E. Hanover, New Jersey, United States, 07936

[] Tune in Live to hear Tom Coughlin IEEE President and Kathleen Kramer IEEE President-Elect. Those who register will receive a WebEx Link. The IEEE Industry Engagement Committee (IEC) will host its first IEEE Industry Week from 5 October to 9 October, culminating in an excellent Event on 9 October featuring Dr Thomas Coughlin IEEE President and Dr Kathleen Kramer IEEE President Elect. Join everyone for this important message from IEEE Leadership about the Industry Engagement Committee (IEC) and their vision of the future, addressing needs of individuals, members, community, and industry to meet our mission: advancing sustainable development for humanity. 9 October 2024 11:00am - 11:30am IEEE in Industry Tom Coughlin, IEEE President 11:30am - 12:00pm 2025 Planning Kathleen Kramer, IEEE President-Elect 12:00pm - 12:05pm Closing Remarks Jessica Bian For information about the entire week schedule, please see attachment. If you have trouble connecting to this WebEx Link, please see the links in the attachment. WebEx Link for October 9: https://www.google.com/url?q=https://ieee.webex.com/ieee/j.php?MTID%3Dma2fc89ea 22696c962553d2443d876e36&sa=D&source=calendar&ust=1728402538754117&usg=AO vVaw23Yxu5Ydi11PMohuwLT0j6 Agenda: 9 October 2024 11:00am - 11:30am IEEE in Industry Tom Coughlin, IEEE President 11:30am - 12:00pm 2025 Planning Kathleen Kramer, IEEE President-Elect 12:00pm - 12:05pm Closing Remarks Jessica Bian Virtual: https://events.vtools.ieee.org/m/437889

You’re Invited: Women Entrepreneur Roundtable on October 9 at 11 AM EDT! Join us for an engaging virtual event, part of the IEEE WIE Emerging Innovation and Entrepreneurship Series. In this session, you’ll hear from three accomplished entrepreneurs who will share their unique journeys, insights on navigating challenges in a competitive landscape, and the strategies they have employed to grow their ventures. The discussion will cover various aspects of entrepreneurship, from scaling businesses in diverse markets to leveraging innovation to create impactful solutions. Register: https://bit.ly/women-entrepreneur-roundtable Speakers: (https://www.linkedin.com/in/martigrimminck/) (https://www.linkedin.com/in/othmanirabeb/) (https://www.linkedin.com/in/hellempedroso/) Moderators: (https://www.linkedin.com/in/abirchermiti/) and (https://www.linkedin.com/in/samarbaba/) Co-sponsored by: IEEE Women in Engineering Virtual: https://events.vtools.ieee.org/m/436924

This dynamic session uses case studies drawn from the IEEE community to help you dramatically improve your ability to use hybrid work as an instrument to improve retention and productivity while cutting costs. Many leaders rely on traditional office-centric collaboration and leadership styles in managing hybrid teams. Yet research conclusively demonstrates that, instead of incrementally improving on the old-school office-centric approach, the best outcomes in managing hybrid teams come from adopting a flexible hybrid-first work model. Doing so results in much higher retention and productivity, reduces costs, and boosts engagement, innovation, collaboration, and risk mitigation. Through adopting hybrid work best practices based on this training, you will empower yourself and your team to maximize retention, productivity, and cost savings in our increasingly-disrupted future of work. All attendees will have an opportunity to receive a complimentary copy of the speaker's best-selling book on which this talk is based, called Returning to the Office and Leading Hybrid and Remote Teams. If you would like to get a complimentary copy of Dr. Gleb Tsipursky's book please fill out your information (https://disasteravoidanceexperts.com/event/)." Speaker(s): Dr. Gleb Tsipursky 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/427447

Abstract: As device technologies evolve and continue to shrink, manufacturing methods are also being stressed, which can impact yields due to ESD performance. ESD test standards are continuing to evolve as well to meet these changes. However as complex devices such as 3D packing with 1000s of Die to Die interconnects become more widely used, this is challenging the “standard” way ESD testing is performed. Another point of interest for system level testing, is call for a Direct Pin Injection test method. Although the most widely used system level testing standard, IEC 61000-4-2 standard recommends not performing testing on pins of a connector, many manufacturers are being forced to perform this test. We’ll discuss the Industry Councils on ESD Target Levels approaches to this testing requirement. Co-sponsored by: ESDA NE Chapter Speaker(s): Tom Meuse Agenda: 5:30 PM Pizza, salad, soda, and Networking 6:00 PM Technical Presentation 6:45 PM Questions and Answers 7:00 PM Adjournment Bldg: Main Cafeteria, Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/427623

IEEE Senior Member is the highest IEEE member grade for which IEEE members can apply and member does not incur any additional cost or fees. The Senior Member grade is a way for the IEEE members to receive recognition for their professional experience and significant performance in Electrical and Electronics Engineering, and the related fields including Computer Science and Information Technology, Physical Sciences, Biological and Medical Sciences, Mathematics, Technical Communications, Education, Management, Law, and Policy. The advancement to Senior Member provides the IEEE members with significant and distinct benefits. These benefits include the eligibility to hold Executive IEEE Volunteer Positions and getting recognition of your peers for technical and professional excellence. Newly elevated senior members will also receive an engraved senior member plaque from IEEE. This is our second workshop sponsored by the Worcester County Section for 2024. This event is scheduled for October 9th 2024, 6:30 – 7:30 p.m, at the Post Office Pub in North Grafton, MA. We will provide you information on the process of membership elevation and assist our Worcester County Section members on this matter. If you are interested in elevating to IEEE Senior Membership, please register for this event. Co-sponsored by: IEEE Worcester County Section Agenda: Introduction Review of general requirements for the IEEE Members/Life Members to be elevated to the IEEE Senior Members/Life Senior Members. Room: Meeting Room, Post Office Pub, • 1 Ray St., North Grafton, Massachusetts, United States, 01536

IEEE Senior Member is the highest IEEE member grade for which IEEE members can apply and member does not incur any additional cost or fees. The Senior Member grade is a way for the IEEE members to receive recognition for their professional experience and significant performance in Electrical and Electronics Engineering, and the related fields including Computer Science and Information Technology, Physical Sciences, Biological and Medical Sciences, Mathematics, Technical Communications, Education, Management, Law, and Policy. The advancement to Senior Member provides the IEEE members with significant and distinct benefits. These benefits include the eligibility to hold Executive IEEE Volunteer Positions and getting recognition of your peers for technical and professional excellence. Newly elevated senior members will also receive an engraved senior member plaque from IEEE. This is our second workshop sponsored by the Worcester County Section for 2024. This event is scheduled for October 9th 2024, 6:30 – 7:30 p.m, at the Post Office Pub in North Grafton, MA. We will provide you information on the process of membership elevation and assist our Worcester County Section members on this matter. If you are interested in elevating to IEEE Senior Membership, please register for this event. The registration has opened and it will be close at 11:59 p.m. on October 8, 2024. Co-sponsored by: IEEE Worcester County Section Agenda: Introduction Review of general requirements for the IEEE Members/Life Members to be elevated to the IEEE Senior Members/Life Senior Members. Room: Meeting Room, Post Office Pub, • 1 Ray St., North Grafton, Massachusetts, United States, 01536

Region 1 Board meeting to review/Approve IEEE Region 1 Awards Virtual: https://events.vtools.ieee.org/m/435816