Joint Chapter of PCJS and NJ Coast Sections: Antennas and Propagation / Vehicular Technology Society / Electromagnetic Compatibility
List of officers for this joint chapter
K. Raghunandan, Chair, raghunandan at ieee.org
Vijay Varma, Vice Chair, v.varma at ieee.org
Neerja Sharma, Treasurer, sharmaneerja100 at gmail.com
Filomena Citarella, Secretary. fcitarella at ieee.org
Webmaster (NJ Coast): John Deltuvia jjdd at john-deltuvia.net ,
Webmaster (PCJS): Fran O’Connell fran.oconnell at gmail.com
NJ coast Section chair, Filomena Citarella, Secretary. fcitarella at ieee.org
Princeton Section chair: Shubha Bom…
HISTORY
The joint chapter of APS/ VTS / EMC was founded in 2020.
UPCOMING TALKS:
PAST TALKS:
| DATE | EVENT | SPEAKER |
| July 20, 2023 | DEEP LEARNING FOR MASSIVE MIMO HYBRID BEAMFORMING – HYBRID EVENT | Dr. Mishra |
| The millimeter-wave (mm-Wave) massive multiple-input multiple-output (MIMO) communications employ hybrid analog-digital beamforming architectures to reduce the cost-power-size-hardware overheads arising from the use of extremely large arrays at this band. Lately, there is also a gradual push to move from the millimeter-wave (mmWave) to Terahertz (THz) frequencies for short-range communications and radar applications to exploit very wide THz bandwidths. At THz, ultramassive MIMO array is an enabling technology to exploit ultrawide bandwidth while employing thousands of antennas. The design of the hybrid beamforming techniques requires the solution to difficult nonconvex optimization problems that involve a common performance metric as a cost function and several constraints related to the employed communication regime and the adopted architecture of the hybrid system(s). There is no standard methodology for solving such problems and usually, the derivation of an efficient solution is a very challenging task. Since optimization-based approaches suffer from high computational complexity and their performance strongly relies on the perfect channel condition, we introduce deep learning (DL) techniques that provide robust performance while designing a hybrid beamformer. In this talk, the audience will learn about applying DL to various aspects of hybrid beamforming including channel estimation, antenna selection, wideband beamforming, and spatial modulation. In addition, we will examine these concepts in the context of joint radar-communications and intelligent-surfaces-aided architectures. Register at: https://events.vtools.ieee.org/m/361614 | ||
| July 28, 2023 | Wireless – public policy, health and safety Abstract: This talk will provide insights into how wireless spectrum gets allocated, cell towers are regulated and the public safety aspects of wireless devices. Although government regulators have clear rules and regulations to monitor, it is typically known only to the product houses or to the contractors who build towers, not the general public. This talk will take the audience through both the technical and social aspects of these regulations. Origins of safety in wireless was brought about over a period of several decades based on extensive work. In the USA, the FCC largely monitors and regulates. Due to lack of transparency, often building cell towers run into considerable opposition from the public – pros and cons of such public debates will be discussed. Lunch time event. Register at: https://events.vtools.ieee.org/m/366204 | Krishnamurthy Raghunandan (Raghu) |
| Date: 26 Apr 2022 Time: 06:30 PM to 09:00 PM In-Person meeting | FUTURE OF ANTENNA DESIGN PROCEDURES AND CHARACTERISTIC MODE ANALYSIS Microstrip antennas are in massive demand for several emerging applications such as biomedical devices, ultrawideband communication devices, radar applications, etc. Microstrip antennas are inherently narrowband and low gain antennas. Since their inception, various methods have been introduced to improve them. Most of the methods depend on the software that needs unlimited optimization runs, which increases the antenna design’s computation cost. Theory of Characteristic Modes (TCM) is the powerful analysis technique that made antenna structure easy to understand and comprehend. As it gives physical insight into the antenna’s structure, the analysis and design of the antenna may not need many optimization cycles. It was first introduced in the 1970s, but it was not till 2007 that this method hit the modern world again for planar antenna design. The reason behind the unmatched success of this method was the details it gives about the surface current behavior of the antenna in a user-friendly manner. Since then, CMA (Characteristic Mode Analysis) has been successfully applied to analyze planar structures and helps design and improve specific characteristics of antennas. Most of my research focused on designing and optimizing the UWB antennas using CMA. CMA can fully illustrate antenna structure with a finite number of resonant modes. Hence, it has the potential of simplifying complicated and tedious antenna design procedures. This talk will focus on the following: (a) Can characteristic modes analysis define the future of antenna design procedures by helping to reduce the complexity of antenna design procedure? (b) the possibilities of producing the compact and efficient antenna design using characteristic modes. (c) how surface currents can be controlled to produce optimized antenna designs. Register at: https://events.vtools.ieee.org/m/310792 | VTS Lecture with Dr. Mahrukh Khan, Ph.D. of The College of New Jersey (TCNJ) |
| Date: 16 Mar 2022 Time: 06:30 AM to 08:00 PM | Machine Learning at the Wireless Edge Wireless networks can be used as platforms for machine learning, taking advantage of the fact that data is often collected at the edges of networks, and also mitigating the latency and privacy concerns that backhauling data to the cloud can entail. Focusing primarily on federated learning, this talk will discuss several issues arising in this context including the effects of wireless transmission on learning performance, the allocation of wireless resources to learning, and privacy leakage. WebEx Info at link: https://events.vtools.ieee.org/m/307252 | VTS Lecture with Distinguish Professor Vince Poor from Princeton |
| Date: 19 Nov 2021 | https://events.vtools.ieee.org/tego_/event/enotice/285021.pdf | Dr. Erik Lier Lockheed Martin Space. Topic: “Metamaterials – a manipulation of waves” |
| Date: 22 Jun 2021 | Arcs and sparks – finding fault on live wires : vTools Events (ieee.org) | https://utah.instructure.com/courses/558911/pages/ieee-aps-distinguished-lecturer Prof. Cynthia M. Furse |