Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckPresent and future trends in electrification of transportation
Virtual: https://events.vtools.ieee.org/m/435753Digital Television Standards and Their Worldwide Impact
Bldg: Department of Computer Science (CS 105), Princeton University, 35 Olden Street, Princeton, New Jersey, United States, 08540 PrincetonDeep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckJersey Shore STEM Ecosystem K through Industry Pipeline – Industry Connections
Ocean, New Jersey, United States Ocean TownshipChemical Mechanical Planarization (CMP) for Hybrid Bonding
Room: CESTM auditorium, Bldg: CESTM, 255 Fuller Rd, Albany, New York, United States, 12203 Fuller Road, AlbanyUAV-mounted GPR-SAR systems: a key technology for detecting buried explosive threat
Virtual: https://events.vtools.ieee.org/m/428577Careers in Technology Fall Series 2024 – Khandakar Nusrat Islam, PhD 29 October 8pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/434310Careers in Technology Fall Series 2024 – 29 October – 8 pm EST / 7 pm CST
Virtual: https://events.vtools.ieee.org/m/442946 Penza OblastDeep 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, TeaneckThe Power Chapter WEBINAR – Multiphysics Modeling of Electrical Motors
Virtual: https://events.vtools.ieee.org/m/441934Deep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckAI Skill Development for IT Professionals and Consultants
Virtual: https://events.vtools.ieee.org/m/440424IEEE PCJS Distinguished Lecture by Sudipto Chakraborty
Room: B205, Bldg: Engineering Quad, Olden Street, Princeton, New Jersey, United States, 08544 PrincetonDeep Learning With Applications
Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666 River Road, TeaneckSection Social
Bldg: The Dublin House, 30 Monmouth St, Red Bank, New Jersey, United States, 07701 Monmouth Street, Red BankWeek 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
Spooky Sparks – Halloween Tesla Coils
Spooky Sparks – Halloween Tesla Coils
Come watch the IEEE WPI Student Chapter demonstrate its Tesla Coils on WPI's quad! This will be on Halloween, in the dark. Co-sponsored by: Worcester Polytechnic Institute Bldg: Bartlett Center, WPI Quad, Worcester, Massachusetts, United States
Present and future trends in electrification of transportation
Present and future trends in electrification of transportation
Kaushik Rajashekara University of Houston, Texas USA The transportation industry is facing challenges in terms of improving emissions and fuel economy, and at the same time reducing the overall cost. The trend is towards replacing mechanical and pneumatic systems with electrical systems, thus transitioning toward “more electric” architectures and electric/hybrid propulsion systems. To meet these challenges in the automotive industry, significant work has been done in the areas of electric, hybrid, and fuel cell vehicles. In the case of airplanes, more electric architecture , fuel cell, and hybrid propulsion strategies are the emerging trends. Recently, there is also an increasing interest in flying cars, and Electrical vertical take-off and landing vehicles (eVTOL) to be used as air taxis. Similar strategies have been adopted in Marine propulsion systems also. This presentation examines present trends and advancements in electric/hybrid vehicles, electric and hybrid aircrafts, hydrogen-based systems, and flying cars/VTOL vehicles. In addition, recent trends in the enabling technologies, power electronics and electric motors, for the advancement of the electrified transportation will be briefly presented. Kaushik Rajashekara (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the Indian Institute of Science, Bangalore, India. In 1989, he joined the Delphi division of General Motors Corporation in Indianapolis, USA, as a Staff Project Engineer. In Delphi and General Motors, he held various lead technical and managerial positions, and was a Technical Fellow and the Chief Scientist for developing propulsion and power electronics systems for electric, hybrid, and fuel cell vehicle systems. In 2006, he joined Rolls-Royce Corporation, as a Chief Technologist for electric systems for electric and hybrid aircraft systems. In August 2012, he joined as a Distinguished Professor of Engineering with the University of Texas at Dallas, TX, USA. Since September 2016, he has been a Distinguished Professor of engineering in University of Houston, Houston, TX, USA. He has authored or coauthored over 300 papers in international journals and conferences, has 37 US and 15 foreign patents, and has written one book. He has given over 200 invited presentations in international conferences and universities. He has received a number of awards including the 2022 Global Energy Prize, 2021 IEEE Medal on Environment & Safety Technologies, and 2013 IEEE Richard Harold Kaufmann Award for his contributions to electrification of transportation and renewable energy. He was elected as a member of the U.S. National Academy of Engineering in 2012, , a Fellow of the National Academy of Inventors in 2015, and an International Fellow of Indian (2013), Chinese (2021), and Japanese (2024) Academies of Engineering. His research interests include power/energy conversion, transportation electrification, renewable energy, and microgrid systems. Virtual: https://events.vtools.ieee.org/m/435753
Digital Television Standards and Their Worldwide Impact
Digital Television Standards and Their Worldwide Impact
IEEE PCJS Broadcast Technology Society is excited to announce the following talk: Digital Television Standards and Their Worldwide Impact Guest Speaker: Glenn Reitmeier Location: Computer Science Building (CS 105) Princeton University, Princeton, NJ Event: October 28, 2024, starting at 7:00pm to 9:00pm Brief abstract of talk: The development of digital standards for broadcast television was a seminal event - it was a pivot from many decades of analog video technology to the world of digital media and video streaming that today's audiences enjoy all over the world. This talk will discuss the technical roots of analog video standards, how the quest for a high-definition broadcast television standard in the 1990s was met by a radical leap to digital technology, the world's first digital TV standard (ATSC), and the recent development of the ATSC 3.0 standard for internet based broadcasting and streaming. Also discussed will be the adoption of digital television standards throughout the world, how government regulators have managed to transition from analog to digital broadcasting and the commercial impact of standards on consumer electronics products from TVs to smart phones. Speaker Bio: Glenn Reitmeier is widely recognized as a technology visionary and pioneer in the television industry. Throughout his career, he has been a leader in establishing revolutionary new digital standards that are now widely used in video production and in content delivery by over-the-air broadcasting, satellite, cable and video streaming over the internet. Now an independent consultant, Glenn is retired from 17 years at NBC Universal as Senior Vice President, Technology Standards and Policy, where he contributed to industry technical standards and to the technical aspects of the company’s government policy positions and commercial agreements. Previously, Glenn spent 25 years in digital video research at RCA/Sarnoff Laboratories. In addition to leading Sarnoff’s work on digital HDTV, his laboratory also spun out six technology startup companies in digital television and media. Glenn has served the industry as a Board member of the Advanced Television Systems Committee (ATSC), the North American Broadcasters Associations (NABA) and the Open Authentication Technical Committee (OATC), and he has been Chairman of the Board of both ATSC and OATC. He is a SMPTE Fellow and a recipient of the Progress Medal and the Signal Processing Medal. He is also an inaugural member of the Consumer Technology Association’s (CTA) Academy of Digital Television Pioneers, a recipient of the National Association of Broadcasters (NAB) Television Engineering Award for lifetime achievement and a recipient of the ATSC’s Bernard J. Lechner Award for outstanding technical contributions. Glenn holds over 60 patents, has contributed to many Emmy award winning technologies and is recognized in the New Jersey Inventors Hall of Fame. He received his B.E.E from Villanova University and an M.S.E in Systems Engineering from the University of Pennsylvania. Bldg: Department of Computer Science (CS 105), Princeton University, 35 Olden Street, Princeton, New Jersey, United States, 08540
Jersey Shore STEM Ecosystem K through Industry Pipeline – Industry Connections
Jersey Shore STEM Ecosystem K through Industry Pipeline – Industry Connections
[] Jersey Shore STEM Ecosystem K through Industry Pipeline - Industry Connections Teacher Workshop Event will introduce various topics to teachers during the Speed Dating Event: A Day at the Museum, Lunch with Leaders and Luminaries, Curriculum Guides, and more. Ocean, New Jersey, United States
Chemical Mechanical Planarization (CMP) for Hybrid Bonding
Chemical Mechanical Planarization (CMP) for Hybrid Bonding
This invited talk will delve into the intricate process of Chemical Mechanical Polishing (CMP) and its pivotal role in Hybrid Bonding (HB) within semiconductor manufacturing. CMP is a sophisticated technique that leverages both chemical and mechanical forces to achieve film planarization. The discussion will highlight the critical importance of CMP in HB, particularly in attaining precise control over dishing and surface roughness. The key challenges associated with CMP for HB will be addressed, such as defectivity, dishing, and loading, and present strategies for addressing them to ensure optimal outcomes. Furthermore, the session will highlight the necessity of co-optimizing CMP processes for HB, emphasizing its implications in in the ever-evolving field of semiconductor manufacturing and advanced packaging. Room: CESTM auditorium, Bldg: CESTM, 255 Fuller Rd, Albany, New York, United States, 12203
CT Life Member Affinity Group Initial Meeting
CT Life Member Affinity Group Initial Meeting
This is the initial (virtual) meeting of the newly-formed Life Member Affinity Group (LMAG) in the IEEE Connecticut Section. We will be planning activities for 2025 and discuss process for filling CT LMAG Officer positions. Any Connecticut Life Member is welcome to participate. Agenda: 1. Introductions 2. What is an LMAG? 3. Discussion of 2025 goals and activities 4. Organization (including process for filling officer positions) 5. Meeting schedule 6. Any other business Virtual: https://events.vtools.ieee.org/m/441065
UAV-mounted GPR-SAR systems: a key technology for detecting buried explosive threat
UAV-mounted GPR-SAR systems: a key technology for detecting buried explosive threat
Radar technology plays an important role in our daily lives with applications ranging from security screening for ensuring the safety of the public to structural health monitoring to name a few. In the field of subsurface sensing, Ground Penetrating Radar (GPR) is a key technology for detecting buried explosive threats, such as landmines and Improvised Explosive Devices (IEDs). The talk will be focused on GPR systems mounted on board Unmanned Aerial Vehicles (UAVs), leveraging the Synthetic Aperture Radar (SAR) paradigm to provide high-resolution radar images of the subsurface. This kind of systems brings together the advantages of UAVs (e.g., enabling the inspection of difficult-to-access areas without interacting with the soil) and the capability of radar systems to detect buried targets. In this talk, several prototypes of UAV-mounted GPR-SAR systems tested in realistic scenarios will be presented, showing their success to detect buried threats in realistic scenarios. The current challenges and future trends of this technology will be also discussed. Co-sponsored by: Sai Padmanabhan; Chair AP/MTT chapter of Long Island NY. [email protected] Speaker(s): MARIA, Agenda: 6:15PM Set up Webex online with speaker 6:25PM Introduce speaker and introduction to AP society's Ambassador program 6:30PM Talk begins 7:30PM Talk concludes 7:30-7:45PM Q & A session 8:00PM conclusion and vote of thanks Virtual: https://events.vtools.ieee.org/m/428577
Careers in Technology Fall Series 2024 – Khandakar Nusrat Islam, PhD 29 October 8pm EST / 7 pm CST
Careers in Technology Fall Series 2024 – Khandakar Nusrat Islam, PhD 29 October 8pm EST / 7 pm CST
Khandakar Nusrat Islam will conduct a deep dive on her experience as an RF/Microwave Solutions Engineer at Keysight Technologies, where she excels in both engineering and project management. Specializing in RF solutions architecture and project oversight, Nusrat is instrumental in developing custom global solution delivery next-generation solutions at Keysight Technologies. Dr. Islam's career in technology is crucial for driving innovation and addressing pressing global challenges. Her work in developing cutting-edge solutions at Keysight Technologies not only advances engineering practices but also enhances connectivity and improves quality of life. By driving technological progress, she contributes to transformative breakthroughs that benefit industries and communities worldwide. Co-sponsored by: Martha Dodge Speaker(s): Khandakar Nusrat Islam, PhD Virtual: https://events.vtools.ieee.org/m/434310
Careers in Technology Fall Series 2024 – 29 October – 8 pm EST / 7 pm CST
Careers in Technology Fall Series 2024 – 29 October – 8 pm EST / 7 pm CST
Khandakar Nusrat Islam will conduct a deep dive on her experience as an RF/Microwave Solutions Engineer at Keysight Technologies, where she excels in both engineering and project management. Specializing in RF solutions architecture and project oversight, Nusrat is instrumental in developing custom global solution delivery next-generation solutions at Keysight Technologies. Dr. Islam's career in technology is crucial for driving innovation and addressing pressing global challenges. Her work in developing cutting-edge solutions at Keysight Technologies not only advances engineering practices but also enhances connectivity and improves quality of life. By driving technological progress, she contributes to transformative breakthroughs that benefit industries and communities worldwide. Speaker(s): , , Agenda: Khandakar Nusrat Islam will conduct a deep dive on her experience as an RF/Microwave Solutions Engineer at Keysight Technologies, where she excels in both engineering and project management. Specializing in RF solutions architecture and project oversight, Nusrat is instrumental in developing custom global solution delivery next-generation solutions at Keysight Technologies. Dr. Islam's career in technology is crucial for driving innovation and addressing pressing global challenges. Her work in developing cutting-edge solutions at Keysight Technologies not only advances engineering practices but also enhances connectivity and improves quality of life. By driving technological progress, she contributes to transformative breakthroughs that benefit industries and communities worldwide. Virtual: https://events.vtools.ieee.org/m/442946
The Power Chapter WEBINAR – Multiphysics Modeling of Electrical Motors
The Power Chapter WEBINAR – Multiphysics Modeling of Electrical Motors
To reduce global warming and the associated effects, the transportation and energy sectors are adopting measures to make different applications potentially fossil free. This has led to a surge in demand for electric machines and the related design and development efforts. The designs of these electrical machines need to meet various specifications including efficiency and power-density requirements. A multiphysics-based simulation and modeling approach plays a critical role in accomplishing the design needs and significantly reducing the lead time to market. This webinar can draw more attention from energy audience to focus on the grid-interactive efficiency buildings and participate in the SBCS subcommittee and associated task forces. The presented work also provides cutting-edge research outcome for the community. The COMSOL Multiphysics® software and its add-on modules provide the capability needed to model the multiphysics phenomena involved in electrical motors, including electromagnetics, thermal, structural mechanics, and fluid flow. The most common motor types, synchronous permanent magnet, and asynchronous motors, as well as more recently researched alternatives such as synchronous reluctance or axial flux motors, can be modeled and optimized in COMSOL Multiphysics®. Co-sponsored by: Richard Kolodziejczyk Speaker(s): Vignesh Gurusamy, Virtual: https://events.vtools.ieee.org/m/441934
AI Skill Development for IT Professionals and Consultants
AI Skill Development for IT Professionals and Consultants
This meeting will cover the growing importance of AI skills for IT professionals and consultants. The session will focus on key AI technologies, skillsets in demand, and practical steps to develop AI expertise. Attendees will gain insights on how to enhance their careers and provide AI-driven solutions to clients. Speaker(s): Dr. Raj Vayyavur, Agenda: - Welcome and Introductions Overview of the meeting's objectives and its importance in today's AI-driven world. - The Evolving AI Landscape Overview of key AI technologies (e.g., Machine Learning, Natural Language Processing, Computer Vision) and their business applications. - Core AI Skills in Demand Highlight the critical AI skills in demand, such as data analysis, AI model development, and AI ethics, and how they apply to consulting. - AI Tools and Platforms for Consultants Introduction to popular AI tools and platforms like TensorFlow, Microsoft Azure AI, and OpenAI, with practical use cases for IT professionals. - Building AI Skills: Learning Paths and Certifications Discussion on AI certification programs, online courses, and learning paths to develop AI expertise (e.g., Coursera, edX, Google AI). - Q&A and Networking Open floor for questions, followed by a networking session to discuss opportunities in AI. - Closing Remarks Summary of key takeaways and next steps for attendees to start or enhance their AI skill development journey. Virtual: https://events.vtools.ieee.org/m/440424
IEEE PCJS Distinguished Lecture by Sudipto Chakraborty
IEEE PCJS Distinguished Lecture by Sudipto Chakraborty
This talk will cover practical challenges for cryogenic CMOS designs for next generation quantum computing. Starting from system level, it will detail the design considerations for a non-multiplexed, semi-autonomous, transmon qubit state controller (QSC) implemented in 14nm CMOS FinFET technology. The QSC includes an augmented general-purpose digital processor that supports waveform generation and phase rotation operations combined with a low power current-mode single sideband upconversion I/Q mixer-based RF arbitrary waveform generator (AWG). Implemented in 14nm CMOS FinFET technology, the QSC generates control signals in its target 4.5GHz to 5.5 GHz frequency range, achieving an SFDR > 50dB for a signal bandwidth of 500MHz. With the controller operating in the 4K stage of a cryostat and connected to a transmon qubit in the cryostat’s millikelvin stage, measured transmon T1 and T2 coherence times were 75.5μS and 73 μS, respectively, in each case comparable to results achieved using conventional room temperature controls. In further tests with transmons, a qubit-limited error rate of 7.76x10-4 per Clifford gate is achieved, again comparable to results achieved using room temperature controls. The QSC’s maximum RF output power is -18 dBm, and power dissipation per qubit under active control is 23mW Speaker(s): Sudipto Chakraborty, Agenda: Refreshments Distinguished Lecture Room: B205, Bldg: Engineering Quad, Olden Street, Princeton, New Jersey, United States, 08544