14th New England Workshop on Software-Defined Radio
Unity Hall, Worcester Polytechnic Institute, 27 Boynton St, Worcester, MA, USA
Main Event: Friday 31 May 2024, 9:00 AM (US Eastern) – 5:00 PM (US Eastern)
Tutorials: Thursday 30 May 2024, 5:00 PM (US Eastern) – 9:00 PM (US Eastern)
The 2024 New England Workshop on Software-Defined Radio (NEWSDR’24) is the fourteenth installment of an annual workshop series organized by the Boston SDR User Group (SDR-Boston). We are very excited about this year’s NEWSDR event being hosted in-person on the beautiful campus of Worcester Polytechnic Institute (WPI) in Worcester, MA, USA. The primary goal of this workshop is to provide a forum that enables SDR enthusiasts to get together, collaborate, and introduce SDR concepts to those interested in furthering their knowledge of SDR capabilities and available resources. NEWSDR 2024 welcomes both experienced SDR enthusiasts as well as individuals who are interested in getting started with SDR.
This website will continue to be updated as the event evolves, so please visit frequently for the latest information about NEWSDR 2024!
Workshop Registration
NEWSDR 2024 is free to attend. However, it is necessary to register in advance to ensure access to event amenities (meals, parking, wifi, etc). Deadline to register for NEWSDR 2024 is 22 May 2024. Registration form: https://forms.gle/9FVRFgJhjSQQAudBA
Community Spotlight Talks & Posters: Abstract Submission
Interested in giving a short elevator pitch-styled spotlight talk and a poster presentation about your SDR-related activities? If so, please consider participating in the NEWSDR 2024 community spotlight talks and poster session! The submission process requires a short (200 words) abstract describing the work that you would like to present. Accepted abstracts will be given 1 minute to present during the main event as well as a subsequent poster presentation. Deadline to submit an abstract for presentation at NEWSDR 2024 is 6 May 2024. Acceptance notifications will be sent out by 13 May 2024. Submit an abstract for you poster/spotlight talk using the following form: https://forms.gle/zj1psWRVgYjSZFC19
Latest Agenda
NEWSDR 2024 activities are distributed over Thursday 30th (evening tutorials) and Friday 31st (main event) on the fourth and fifth floors of Unity Hall.
Thursday 30 May 2024 — Evening Session
(Rooms UH400, UH405, UH420, UH500)
| 05:00pm – 06:00pm EDT | Networking Session (with Pizza) Unity Hall, 4th Floor Lounge Area |
| 06:00pm – 09:00pm EDT | Sponsor Tutorial: Mathworks “Hands-On Satellite Communications Workshop“ Room UH400 |
| 06:00pm – 09:00pm EDT | Sponsor Tutorial: PI-Radio “How to Build an FR3 SDR“ Room UH405 |
| 06:00pm – 09:00pm EDT | Sponsor Tutorial: TMYTEK “mmW-OAI: An FR2-enabled OAI Testbed“ Room UH420 |
| 06:00pm – 09:00pm EDT | Sponsor Tutorial: NI “FPGA Programming on the USRP with the RFNoC Framework“ Room UH500 |
Friday 31 May 2024 — Morning Session
(Room UH400)
| 09:00am – 09:15am EDT | Welcome Address and Event Overview NEWSDR Organizing Committee |
| 09:15am – 10:00am EDT | Opening Talk: Taejoon Kim (University of Kansas), Vuk Marojevic (Mississippi State University) “Zero Trust X (ZTX): Operating Securely Through 5G Infrastructure“ |
| 10:00am – 10:30am EDT | Sponsor Talks: Mathworks (Mike Mclernon) MITRE (Ken Schmitt) Pi-Radio (Aditya Dhananjay) TMYTEK (Toabis Huang) NI (Neel Pandeya) |
| 10:30am – 11:10am EDT | Spotlight Talks/Poster Preview Session |
| 11:10am – 11:30am EDT | Networking Session (with coffee) |
| 11:30am – 12:15pm EDT | Invited Talk: Michele Polese (Northeastern University) “Accelerating End-to-End AI/ML Design for Open RAN with Colosseum as a Digital Twin“ |
Friday 31 May 2024 — Afternoon Session
(Room UH400)
| 01:15pm – 01:45pm EDT | Invited Talk: Ken Schmitt (MITRE) “Extremely Wideband RF Spectrum Operations“ |
| 01:45pm – 02:45pm EDT | Keynote Talk |
| 02:45pm – 03:00pm EDT | Networking Session (with coffee) |
| 03:00pm – 03:45pm EDT | Graduating PhD Student Talks: Adriyel Nieves (WPI) “RF Fingerprinting Testbed and Classification Experiments“ Kat Kononov (MIT) “Synthesis Imaging with Vector Sensor Arrays“ Gerald LaMountain (Northeastern University) “Adaptive and Robust Tracking and Acquisition on a software-defined open-source GNSS receiver“ |
| 03:45pm – 04:30pm EDT | Invited Talk: John Swoboda and Ryan Volz (MIT Haystack Observatory) “Space Weather Monitoring with Novel Radar Systems: The 2024 Eclipse“ |
| 04:30pm – 04:40pm EDT | Closing Ceremony NEWSDR Organizing Committee |
Presentation Information
Accelerating End-to-End AI/ML Design for Open RAN with Colosseum as a Digital Twin
Abstract: In this talk, I will discuss how openness, programmability, and intelligence (key components of the Open Radio Access Network, or Open RAN, vision) can restart the innovation cycle in mobile networks. I will focus specifically on how we can address one of the major challenges in the design of intelligent Open RAN systems, i.e., the design of artificial intelligence and machine learning solutions that are effective, scalable, and can generalize well across deployment scenarios and conditions. I will discuss how we leveraged Colosseum – the world’s largest wireless network emulator with hardware in the loop – as a digital twin for Open RAN systems, to (i) collect large-scale datasets in a variety of representative scenarios; (ii) test and profile agile and AI-driven RAN control in a safe environment with the OpenRAN Gym framework; (iii) how we developed and tested explainable AI solutions (EXPLORA) for Open RAN in Colosseum; and (iv) how we used Colosseum to evaluate solutions for real-time control of the RAN (dApps).
Presenter: Michele Polese is a Research Assistant Professor at the Institute for the Wireless Internet of Things, Northeastern University, Boston, since October 2023. He received his Ph.D. at the Department of Information Engineering of the University of Padova in 2020. He then joined Northeastern University as a research scientist and part-time lecturer in 2020. During his Ph.D., he visited New York University (NYU), AT&T Labs in Bedminster, NJ, and Northeastern University.
His research interests are in the design and testing of next-generation wireless networks, 5G/6G, and Open RAN, in open, intelligent, and programmable end-to-end network architectures, and in open-source networking software and experimental wireless testbeds. He has contributed to O-RAN technical specifications and submitted responses to multiple FCC and NTIA notices of inquiry and requests for comments, and is a member of the Committee on Radio Frequency Allocations of the American Meteorological Society. He is PI and co-PI in research projects on 6G funded by the O-RAN ALLIANCE and the U.S. NSF, OUSD, and NTIA, and was awarded with several best paper awards and the 2022 Mario Gerla Award for Research in Computer Science. Michele served as TPC co-chair for WONS 2024, ACM WiNTECH 2023, WNS3 2021-2022, as an Associate Technical Editor for the IEEE Communications Magazine, as a Guest Editor in an IEEE JSAC Special Issue on Open RAN, and has organized the Open 5G Forum in Fall 2021 and the NextGenRAN workshop at Globecom 2022.
Zero Trust X (ZTX): Operating Securely Through 5G Infrastructure
Abstract: The emergence of high-performance 5G networks presents a potential paradigm shift for secure military communications. However, commercially available 5G equipment often lacks robust security protocols, rendering sensitive data vulnerable to unauthorized access and manipulation. ZTX addresses this challenge by developing innovative security solutions without changing existing 5G standards. This talk outlines the ZTX security framework, empowering DoD operators to implement layered security measures on their devices, achieving independence from potentially compromised network infrastructure. ZTX also incorporates network-centric security solutions for comprehensive protection. This talk then presents how ZTX uses open-source software and software radio testbeds to implement and demonstrate secure communications over 5G RAN and O-RAN testbeds and showcase our parallel development and demonstration efforts that use commercial 5G user devices and networks as the testbed.
Presenters: Taejoon Kim is an Associate and Chair’s Council Professor of the Electrical Engineering and Computer Science (EECS) Department at the University of Kansas (KU), where he researches 6G networked systems, security, distributed learning, and information theory. He leads seven active NSF projects as a PI or Co-PI. He has received numerous awards, including the KU School of Engineering Research Excellence Award (Miller Professional Award for Research), the Harry Talley Excellence in Teaching Award, the IEEE Transactions on Communications Best Paper Award (Stephen O. Rice Prize), and the IEEE PIMRC Best Paper Award. He was an associate editor of the IEEE Transactions on Communications. He earned his Ph.D. in ECE from Purdue University and held positions at Nokia Bell Labs, KTH Royal Institute of Technology, and the City University of Hong Kong.
Vuk Marojevic, an Associate Professor of Electrical and Computer Engineering at Mississippi State University. He graduated from the University of Hannover, Germany, and Barcelona Tech (UPC), Spain, with an MS and Ph.D. in Electrical Engineering. He leads research in mobile communications, software-defined radios, and wireless security, with a focus on mission-critical applications and O-RAN. He is an associate editor of the IEEE Transactions on Vehicular Technology and the IEEE Vehicular Technology Magazine. Dr. Marojevic is a principal investigator for National Science Foundation projects including AERPAW, a large-scale testbed he co-designed, and Open Artificial Intelligence Cellular, which explores AI-empowered control and testing systems for 6G wireless research. He is an expert in open-source software for software radios. He pioneered the open-source implementation of the 4G long-term evolution wireless protocol, enabling researchers to leverage commercial off-the-shelf hardware for software-defined radio experimentation.
Extremely Wideband RF Spectrum Operations
Abstract: The MITRE Extremely Wideband RF Spectrum Operations (EWO) project is increasing electromagnetic spectrum agility and dominance through analog and digital convergence. Developed under MITRE’s internal R&D program and in collaboration with government and industry, EWO is developing and integrating next-generation wideband technologies, including modular phased array antennas, RF electronics, and Direct RF FPGA System-in-Package (SiP) / System-on-Chip (SoC) devices, establishing a government-owned reference implementation system for creating advanced multi-function wideband capabilities. A major part of this effort includes leveraging digital convergence to enable real-time wideband dynamic spectrum access. Specifically, using industry standard 100GbE interconnect to route high-throughput IQ samples within a network of heterogeneous host processing devices and software-defined radios (SDRs). Our solution follows best practices to achieve high-bandwidth data offload from SDR to Host for receive applications and incorporates a new innovative MITRE technique to achieve scalable and efficient high-bandwidth digital RF transmit from Host to SDR for transmit applications. Together, these capabilities enable game-changing full-duplex high-bandwidth communication between Host and SDR, enabling the next generation of distributed wideband adaptive communications, radar, and electronic warfare applications.
Presenter: Ken Schmitt is a lead embedded systems engineer for The MITRE Corporation in Bedford, MA and leads an internal R&D effort targeting next-generation FPGA SiP/SoC SDR capabilities. He specializes in full system level design and development, bridging the gap between application space, hardware, and software to map high-performance real-time signal processing applications to next-generation heterogeneous compute architectures. Ken received his B.S. in Computer & Systems Engineering and Computer Science from Rensselaer Polytechnic Institute and M.S. in Electrical and Computer Engineering from Georgia Institute of Technology.
RF Fingerprinting Testbed and Classification Experiments
Abstract: Radio Frequency Fingerprinting (RFFP) classification is a method for identifying transmitting radios based on the signal that propagates over the air. It has been proposed as a low-energy, computationally efficient alternative for authenticating wireless transmitters for IoT devices and as a spoof-resistant alternative to MAC layer authentication methods. The RFFP literature has shown machine learning (ML) as a viable RFFP technique, but there are still unresolved questions to warrant RFFP as a viable real-world authentication technique. The testbed design is pivotal in identifying bias caused by day-to-day variations and creating generalizable datasets that span various dynamic channel environments and a larger set of transmitters. Several sources of bias may stem from SNR miscalculation, uncharacterized cable/connector losses, hardware selection, and ambient temperature factors. Creating datasets that generalize to real-world transmitters and operate in dynamic channel environments is challenging because of the scale of the problem. The number of transmitters that can be tested in a wireless testbed is less than the number of wireless devices in the real world. Regardless of the testbed used, the researcher should be aware of sources of bias, the limitations of the testbed to measure those biases, and the limitations of the dataset generality. This presentation will discuss techniques for mitigating sources of bias in the testbed, compare mitigation techniques, and show how they can be applied to improve ML models. This research was generously supported by MIT Lincoln Laboratory and Air Force Office of Scientific Research (AFOSR) Defense University Research Instrumentation Program (DURIP) via the grant entitled “Enhancing 5G Security Via Analysis of RF Hardware Characteristics and Spectral Behavior”.
Presenter: Adriyel V. Nieves is currently finishing his Ph.D. from Worcester Polytechnic Institute. He received an Electrical Engineering B.S. and M.S. degree from Pennsylvania State University in 2015 and 2020, respectively. His research interests include 5G communication systems, machine learning, and system-level design in communication systems.
Synthesis Imaging with Vector Sensor Arrays
Abstract: Radio astronomy observations at frequencies below 10 MHz could provide valuable science, such as measuring the cosmic dark age signal in the redshifted 21-cm hydrogen absorption line, detecting exoplanetary auroral emissions which lead to inferences about magnetic fields and atmospheres, and characterizing the effects of solar wind and coronal mass ejections on the magnetospheres of solar system planets. Despite their value, few measurements in the sub-10 MHz band have been made. At frequencies below 10 MHz, the Earth’s ionosphere reflects, attenuates, and distorts radio waves, making radio astronomy in this band only possible from space. However, a spaceborne array would need thousands of electrically-small antennas to reach the sensitivity required for detecting faint astronomical signals, and it would need to be positioned far from the Earth to reduce the impact of Earth-based radio interference. Using more efficient antennas would minimize the number needed, and using antennas that are robust to interference would reduce the required distance from Earth. To this end, we consider constructing the array out of vector sensor antennas. These advanced antennas consist of three orthogonal dipoles and three orthogonal loops with a common phase center, and their benefits include direction-finding and polarimetric capabilities, but they have not been considered for this application previously. We show that vector sensors can be twice as sensitive, 6-10 dB more robust to noise, and provide four times more Fisher information during interferometry than tripoles, simpler antennas that are commonly considered for space applications.
Presenter: Kat Kononov received B.S. and M.Eng. degrees in Electrical Engineering in 2012 and 2013 from the Massachusetts Institute of Technology (MIT). She is currently a Ph.D. candidate in the Department of Aeronautics and Astronautics at MIT and an associate technical staff member at Lincoln Laboratory. Her research is on space systems and computational imaging with vector sensor arrays. Prior to starting the Ph.D. program, Kononov worked on wireless communication and radar technology at Lincoln Laboratory.
Adaptive and Robust Tracking and Acquisition on a software-defined open-source GNSS receiver
Abstract: With how powerful and integral global navigation satellite systems (GNSS) have become within nearly every aspect of our society and daily lives, a layperson may assume that we must take for granted the technology behind these everyday tools. As with many radio technologies, however, passionate individuals have continued to push back against the idea that this technology is beyond the reach of the individual, promoting through word and action that GNSS is the domain of everyone. In this presentation, we will discuss how students in our lab at Northeastern University are using the open-source GNSS-SDR project to develop, test, and prototype next-generation advancements in GNSS technologies, and the role that SDR plays in making that possible. We will highlight two projects, focusing on the development of the acquisition and tracking stages to handle real-time changes in variable background radio interference and deliberate spoofing conditions using dynamic, Bayesian covariance estimation and robust statistics, respectively. These developments aim to produce a receiver which can independently adjust to adverse and changing conditions without the need for direct human intervention. We will discuss the algorithms and design considerations behind these improvements and the challenges and advantages to their implementation within the GNSS-SDR framework.
Presenter: A Ph.D. candidate in Electrical Engineering at Northeastern University, Gerald LaMountain focuses his research efforts on the fields of dynamic estimation, classical statistics, communications, and positioning, navigation, and timing (PNT) technologies including GNSS and other sensing systems. His research contributions span the academic, industrial, and open-source domains: from his work on multiple sensor projects at Raytheon BBN Technologies, to his involvement in the Google Summer of Code (GSoC) program as both a developer and mentor for the GNSS-SDR project. These experiences have provided a broad skill set and insights into modern radio technologies and algorithms, positioning him as a committed researcher and contributor to the development of sensor systems and estimation technologies.
Space Weather Monitoring with Novel Radar Systems: The 2024 Eclipse
Abstract: The upper atmosphere and ionosphere are becoming increasingly more relevant to our day to day activities thanks to an expanding commercial space industry and our increasing reliance on critical infrastructure in space such as communication satellites and position, navigation and timing systems. These systems have to contend with the near Earth space environment, specifically the ionosphere and our own upper atmosphere, which are severely undersampled and are active areas of scientific interest. MIT Haystack has been working with a number of different sensor modalities to better understand the upper atmosphere and ionosphere. Recently, two HF radar systems have been developed to study these regions of our near earth space environment: The Zephyr Meteor Wind Radar System and the Electro-Magnetic Vector Sensor Ionospheric Sounder (EMVSIS). The Zephyr system measures the wind patterns of the upper atmosphere (between 80 km – 105 km height) by using radar scattering from meteors as a tracer for the wind. EMVSIS is an evolution of ionospheric sounding radar systems with new types of waveform coding and antenna design to measure the bottom side ionosphere. With these two systems working together researchers will be able to better understand how the neutral upper-atmosphere and ionosphere interact together to get a more holistic understanding of the system. The great American 2024 eclipse was used as a deployment goal for these two systems. The results of this deployment and ongoing plans will be discussed, along with the utility of SDR in the development and design of these systems.
Presenters: John Swoboda is a Geospace Research Scientist at Haystack Observatory. He holds B.S. and M.S. degrees from Rensselaer Polytechnic Institute along with a PhD from Boston University, all in electrical engineering. His research interests include radar signal processing and their application to space weather monitoring. He is currently the primary investigator for the EMVSIS project.
Ryan Volz is a Research Scientist at MIT Haystack Observatory with interests in signal processing, statistical estimation, and novel instrumentation applied particularly to radio science. He earned a BS degree in Aerospace Engineering from the Pennsylvania State University in 2007, an M.Phil degree in Engineering (Control Systems) from the University of Cambridge in 2008, and MS and PhD degrees in Aeronautics and Astronautics from Stanford University in 2009 and 2015, respectively. He and colleagues at CU Boulder are currently developing the Zephyr meteor radar network, a novel MIMO system designed to estimate the 3-D wind field in the upper atmosphere by way of meteor trail scattering.
Tutorial Information
Hands-On Satellite Communications Workshop
Abstract: In this hands-on workshop, MathWorks product experts will walk you through a series of online exercises. These guided exercises will give you the opportunity to write and run your own code using Satellite Communications Toolbox and learn how, with minimal coding, you can use the toolbox to streamline your satellite-related workflows.
Highlights:
- Brief overview of Satellite Communications Toolbox
- Hands-on exercises using MATLAB Online where you will:
–> Set up and launch a satellite scenario viewer
–> Compute and visualize the visibility access between a satellite and a ground station
–> Compute and visualize communications link closure between a satellite and a ground stationPresenter: Mike McLernon is an advocate for communications and software-defined radio products at MathWorks. Since joining MathWorks in 2001, he has overseen the development of numerous PHY layer capabilities in Communications Toolbox, and of connectivity to multiple SDR hardware platforms. He has worked in the communications field for over 30 years, in both the satellite and wireless industries. Mike received his BSEE from the University of Virginia and his MEEE from Rensselaer Polytechnic Institute.
How to Build an FR3 SDR
Abstract: Building an SDR is a boatload of fun. It requires you to get your hands dirty with many tasks, spread across different areas. For example, you will need to build simple circuits using bread-boards, play with evaluation kits, design PCBs, perform HFSS simulations of antennas, program FPGAs, write device drivers, and so on. In this tutorial, we will explore these aspects in greater detail. You will learn the basics of how to design, manufacture, and test your own SDR.
Presenter: Aditya Dhananjay received the Ph.D. degree from the Courant Institute of Mathematical Sciences, New York University (NYU), New York, NY, USA.,He was involved in mesh radio routing and resource allocation protocols, data communication over cellular voice channels, low-cost wireless rural connectivity, OFDM equalization, and phase noise mitigation in mm-wave networks. He currently holds a post-doctoral position with NYU Wireless and is the co-founder of Pi-Radio. He has developed and supervised much of the mm-wave experimental work at the center. He has authored several refereed articles (including at SIGCOMM and MobiCom). He holds one patent and two provisional patents in the millimeter-wave space.
mmW-OAI: An FR2-enabled OAI Testbed
Abstract: Enter mmW-OAI, an FR2-enabled OAI testbed developed by TMYTEK in collaboration with Allbesmart. Already deployed in Japan, this solution blends millimeter-wave technology with OpenAirInterface (OAI) to furnish a comprehensive testing environment spanning from user equipment (UE) to the core network. In this tutorial, we delve into the intricacies of mmW-OAI, equipped with 5G beamformers simulating gNB and UE array antennas, a frequency converter, and a robust PC housing the latest OAI stack. Participants will gain hands-on experience with controlling TMYTEK FR2 devices—including a 24-44 GHz up/down converter (UD Box) and a 28 GHz mmWave beamformer (BBox)—using SDR development environments. We’ll explore API integration, control calls, DLL imports, and more. Moreover, mmW-OAI caters to diverse UE scenarios, accommodating three distinct UE types: OAI UE, Commercial UEs, and COTS UEs. OAI UE provides a customizable platform ideal for research and development purposes, while Commercial UEs offer compatibility with established standards for real-world testing. COTS UEs, on the other hand, enable rapid prototyping and deployment, facilitating swift experimentation and validation of 5G concepts. With mmW-OAI, researchers can explore various applications, such as evaluating beamforming techniques and antenna configurations in mmWave environments, assessing 5G protocols’ performance under real-world conditions, investigating URLLC and mMTC use cases, and prototyping innovative applications like AR, VR, and autonomous vehicles in 5G networks.
Presenter: Toabis Huang, an accomplished professional with a strong background in electrical and control engineering, pursued his master’s studies at National Chiao Tung University from 2008 to 2010. During this time, he specialized in Electrical and Control Engineering. Prior to his master’s, Toabis completed his undergraduate studies at the same institution, majoring in the same field from 2004 to 2008. Toabis holds the position of Software Manager at TMYTEK in New Taipei City. In this role, he oversees the mmW OAI offering and leads the development of OAI solutions from architectural design to implementation. Before joining TMYTEK, Toabis gained valuable experience as a Senior Engineer at Scarlettech in Taipei and also contributed as a Senior Engineer at HTC. Toabis Huang’s expertise lies at the intersection of software development, engineering, and cutting-edge technologies.
FPGA Programming on the USRP with the RFNoC Framework
Abstract: This workshop provides a tutorial on the RFNoC framework, including a discussion on its design and capabilities, demonstrations of several practical examples, and a walk-through of implementing a user-defined RFNoC Block and integrating it into both UHD and GNU Radio. The RFNoC (RF Network-on-Chip) framework is the FPGA architecture used in USRP devices, specifically the E310, E312, E320, X300, X310, N300, N310, N320, N321, X410. The RFNoC framework enables users to program the USRP FPGA, and facilitates the integration of custom FPGA-based algorithms into the signal processing chain of the USRP radio. Users can create modular, FPGA-accelerated SDR applications by chaining multiple RFNoC Blocks together and integrating them into both C++ and Python programs using the UHD API, and into GNU Radio flowgraphs. Attendees should gain a practical understanding of how to use the RFNoC framework to implement custom FPGA processing on the USRP radio platform.
Presenter: Neel Pandeya is a Principal SDR Engineer and Group Manager at National Instruments in Austin, Texas, USA. His background and interests are in open-source software development, kernel and embedded software development, wireless communications, 4G/LTE and 5G/NR networks, DSP and signal processing, FPGA programming, and software-defined radio (SDR). He has previous technical management experience and university teaching experience, and formerly held a TS/SCI government security clearance. He is a co-founder and co-organizer of the New England Workshop for SDR (NEWSDR), and is a co-organizer of the GNU Radio Conference (GRCon) as well as the 5G Workshop at IEEE MILCOM. He holds a Bachelor’s Degree in Electrical Engineering (BSEE) from Worcester Polytechnic Institute (WPI), and a Master’s Degree in Electrical Engineering (MSEE) from Northeastern University (NEU), and is a member of IEEE and Eta Kappa Nu (HKN). He has an Amateur Radio License, and is aspiring to obtain a private pilot license.
Sponsors/Exhibitors
If your company is interested in participating in NEWSDR 2024, please contact us at gr-newsdr-info@wpi.edu for additional information.
Many thanks to our generous sponsors!!
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Questions or comments? Please feel free to contact us at gr-newsdr-info@wpi.edu.