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Marvin Joshi

Marvin Joshi

· Professor

Georgia Institute of Technology · Electrical and Computer Engineering

Active 2020–2026

h-index3
Citations16
Papers1616 last 5y
Funding—

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Professor Emmanouil 'Manos' Tentzeris is the Ed and Pat Joy Chair Professor in the School of Electrical and Computer Engineering at Georgia Tech. His research focuses on high-performance electromagnetic applications, particularly in the development of innovative wireless communication systems. Alongside Ph.D. candidate Marvin Joshi, he has contributed to the creation of a lens-enabled backscatter system capable of multi-gigabit data rates, reaching up to 4 Gbps while operating with minimal power consumption. This system leverages a dielectric lens to focus millimeter-wave energy onto tiny antenna elements, enabling high-speed, energy-efficient wireless communication without traditional transmitters. Professor Tentzeris's work demonstrates how advanced lens technology can overcome limitations of conventional backscatter systems, allowing for high data rates over wide angular coverage and distances up to 20 meters. His research aims to enable battery-free sensors and devices that can be deployed at scale in smart city infrastructure, disaster response, and other applications, providing fiber-like performance in a wireless, energy-efficient manner. His ongoing efforts include moving from proof-of-concept to real-world deployment, integrating these systems into mobile platforms and infrastructure, and exploring AI-based optimization to enhance system performance.

Research topics

  • Artificial Intelligence
  • Computer Science
  • Computer vision
  • Telecommunications
  • Real-time computing
  • Electronic engineering
  • Algorithm
  • Engineering

Selected publications

  • A Review of Multimaterial Additively Manufactured Electronics and 4-D Printing/Origami Shape-Memory Devices: Design, Fabrication, and Implementation

    Proceedings of the IEEE · 2024-08-01 · 32 citations

    reviewOpen access

    Emerging additive manufacturing (AM) technologies, specifically additively manufactured electronics (AME), 4-D printing, and origami, are reshaping the design capabilities and functionalities of contemporary electronic devices. Cutting-edge 3-D/4-D printing technologies facilitate the prototyping and realization of complex electronic functions that are challenging to conventional methods. This article provides a comprehensive overview of the evolving techniques in AME, 4-D printing, and origami,…

  • A Fully-Passive Frequency Diverse Lens-Enabled mmID for Precise Ranging and 2-Axis Orientation Detection in Next-Generation IoT and Cyberphysical Systems

    IEEE Journal of Radio Frequency Identification · 2024-01-01 · 9 citations

    article1st authorCorresponding

    The rise and progression of the Internet of Things (IoT) have reshaped how devices connect and share information, leading to more intelligent and interconnected settings. In this realm, the incorporation of self-sustaining millimeter-wave Identification (mmID) devices present a compelling opportunity to elevate IoT implementations, especially concerning accurate positioning and monitoring capabilities. In this work, the authors introduce a novel lens-enabled passive mmID tailored for highly accu…

  • Achieving Quasi-Planar Coverage: A Concave Meniscus Lens-Enhanced Rotman-Lens-Based mmID for Ultra-Long-Range IoT Applications

    IEEE Antennas and Wireless Propagation Letters · 2024-12-09 · 8 citations

    article1st authorCorresponding

    Recent advancements in 5G/millimeter-wave (mmWave) technologies have led to the development of next- generation IoT devices that provide large-scale connectivity and high data rates. To ensure reliable communication and consistent performance, these devices must have wide angular coverage and high detectability, allowing them to maintain stable connectivity regardless of their orientation or positioning. In this work, we introduced a 3-D lens-enabled semipassive millimeter-wave identification (m…

  • Machine Learning-Enhanced Gyro mmID-Sensor for Virtual Reality and Motion Tracking Applications

    2021 18th European Radar Conference (EuRAD) · 2023 · 8 citations

    1st authorCorresponding

    The development of virtual reality (VR) and augmented reality (AR) technologies has drawn great attention in recent times due to the wide variety of applications they can enable, spanning from surgery training to motion capture and everyday users in VR spaces. In order to further enhance the user experience, real-time and accurate orientation detection of the user, the authors propose the usage of a Frequency-Modulated Continuous-Wave (FMCW) radar system with an ultra-low-power, sticker-like mmI…

  • Computer Vision Enabled Calibration of Additively Manufactured Conformal Phased Arrays Utilizing 3-D Depth Sensing Camera

    IEEE Transactions on Microwave Theory and Techniques · 2024-05-09 · 5 citations

    article1st authorCorresponding

    The development of flexible phased array systems has drawn significant interest due to their adaptive beam steerability and deployable structures to support various platforms virtually on every conformal surface. Additively manufactured tile-based phased array offers a lightweight, flexible, and massively scalable solution with reduced cost and fabrication time. The main challenge for such conformal phased array systems is to maintain array performance under various deformations, which requires…

Frequent coauthors

  • Manos M. Tentzeris

    Georgia Institute of Technology

    11 shared
  • Genaro Soto-Valle

    Georgia Institute of Technology

    8 shared
  • Charles A. Lynch

    Georgia Institute of Technology

    7 shared
  • Kexin Hu

    Georgia Institute of Technology

    7 shared
  • Abdel-Kareem Moadi

    Knoxville College

    4 shared
  • Aly E. Fathy

    University of Tennessee at Knoxville

    4 shared
  • H. Jamal

    Georgia Institute of Technology

    4 shared
  • Bing Zhang

    Sichuan University

    2 shared

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