The Bridge - Issue 2, 2022 - 32

Graduate Research SP
TLIGHT
Ryan Dreifuerst
Iota Beta, North Carolina State University, Ph.D. Student in Electrical Engineering
RESEARCH TOPIC
Machine Learning-Assisted Signal Processing
Signal processing in wireless communications has traditionally been dominated by algorithms that are based on simplified
system models. While these algorithms have been sufficient for previous systems, the requirements of next-generation
networks make these algorithms insufficient for handling the complex correlations and nonlinearities obfuscating the signal.
By augmenting machine learning (ML) with the domain knowledge inherent in dedicated
signals (for example in time-frequency domain relationships), new algorithms can be
developed to overcome extreme situations such as low resolution data sampling or limited
feedback beam management. These are two examples of ways that ML can improve signal
processing algorithms, thereby reducing the power consumption and achieving new levels
of spectral efficiency in wireless domains.
Ryan's work has analyzed and developed algorithms for network optimization, low
resolution signal deconstruction, and codebook design for 5G. He has proposed algorithms
for extremely sample efficiency ML with Bayesian optimization and worked with industry
leaders to advance the Open Radio Access Network (ORAN) initiative. Ryan's work has
been supported by the NSF, Samsung Research America, and Facebook.
LEARN MORE
https://scholar.google.com/citations?user=FjKTS3gAAAAJ&hl=en
Mohammad Haerinia
Delta Rho Chapter
University of Massachusetts Lowell, Ph.D. Student in Electrical Engineering
RESEARCH TOPIC
Medical Optics, Metasurfaces, WPT for Medical Applications
Mohammad's research interest includes multidisciplinary areas of applied electromagnetics, including medical optics,
metasurfaces, wireless power transfer (WPT), and WPT for medical applications. WPT technology has a variety of modern
applications ranging from charging cell phones to medical implants. Mohammad's work has practical applications in medical
implants such as pacemakers and biosensors. He designed a miniaturized printed flexible dual-band antenna for wireless power
transmission in wearable electronics. He also designed a novel hybrid inductive power transfer and wireless communication
compact system for biomedical implanted devices. In addition, he is currently focusing on enhancing the optical capabilities of
metalenses that can enable more precise diagnostic imaging tools such as endoscopes, and
new microscope form factors,
enabling radiologists and physicians
to see previously invisible details.
His research is supported by the
North Dakota Department
of Commerce, Venture Phase I,
and the National Science
Foundation (NSF).
1-A miniaturized dual-band antenna implanted in the human body; 2- Transmitter (TX) and receiver (RX) fabricated
prototypes; 3- Designed wearable antenna on hand.
LEARN MORE
https://scholar.google.com/citations?user=V-cdBCgAAAAJ&hl=en
CONTACT
https://www.linkedin.com/in/mohammadhaerinia
CONTACT
https://ryandry1st.github.io/
A learned 3D beamforming pattern
covering a region with obstructions and
interfering signals.
THE BRIDGE

https://ryandry1st.github.io/ https://scholar.google.com/citations?user=FjKTS3gAAAAJ&hl=en https://scholar.google.com/citations?user=V-cdBCgAAAAJ&hl=en https://www.linkedin.com/in/mohammadhaerinia

The Bridge - Issue 2, 2022

Table of Contents for the Digital Edition of The Bridge - Issue 2, 2022