Low Frequency Radio Group

Morris Cohen
Professor
Van Leer 511
mcohen@gatech.edu
LinkedIn

Morris Cohen received his B.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2003 and 2010, respectively, and served as a research scientist there until August 2013. From September 2012 until August 2013, Dr. Cohen was appointed as AAAS Science and Technology Policy Fellow at the National Science Foundation.

In Fall 2013, he joined the faculty in the School of ECE at Georgia Tech, with promotion and tenure as of Summer 2018. He was selected for the NSF CAREER award in 2017 and received the ONR Young Investigator Award in 2015. He is the winner of the 2014 Santimay Basu Prize by the International Union of Radio Science, an award given once per three years to an early career scientist. He is an author of more than 90 journal publications and 200 conference presentations. He serves as an Associate Editor for Radio Science and as President-Elect of the Atmospheric and Space Electricity Section of the American Geophysical Union. He utilizes a "flipped classroom" model for teaching, which increases student engagement and peer interaction, and won Georgia Tech's CTL/BP Junior Faculty Teaching Excellence Award in 2018. He enjoys hiking, cooking, traveling, and building pizza ovens.

Kevin Whitmore (BS 2018, MS 2019)
Joined Fall 2018

Evan Worthington, ECE
Joined Spring 2015
Evan works full-time at GTRI while completing his PhD dissertation on transionospheric VLF propagation and ionospheric remote sensing.

Nathan Opalinski, ECE
Joined Fall 2015
Nathan worked full-time for Viasat while continuing his PhD thesis work on VLF detection of obscured or electrically shielded objects.

Roderick Gray, ECE
Joined Summer 2019
Roderick's research interest is power grid remote sensing and situational awareness with non-contact VLF measurements.

Shweta Dutta, ECE
Joined Fall 2019
Shweta is a Ph.D. student from South Brunswick, NJ. She graduated from the California Institute of Technology with a BS in Electrical Engineering and a minor in English, and has worked at the Jet Propulsion Laboratory. Currently, her research focuses on the machine learning for space weather effort, for which she is developing and refining a model of the electron density of the ionosphere. LinkedIn

Liam Smith, ML-ECE
Joined Fall 2020
Liam is a PhD student from Rochester, NY. He received his BS degrees in Computational Mathematics and Electrical Engineering with a minor in Physics as well as his MS in Electrical Engineering with a focus on Signal Processing at RIT. His current research focuses on applying physics-supported machine learning techniques to improve ionospheric forecasting, specifically in regards to electron density.

Joe Ellis, ECE
Joined Spring 2022
Joe is a PhD student from Sacramento, CA. He received his BS from the University of California, Davis and MS from the Air Force Institute of Technology, both in Electrical Engineering. He most recently worked at the Air Force Research Laboratory and is interested in the intersection of data science and space.

Jeremy Lightner, ECE
Joined Fall 2022
Jeremy is a Ph.D. student from Lilburn, GA. He received his BSEE from Georgia Tech. After his undergrad, he was a Radar/RF Research Engineer in ATAS (Aerospace, Transportation & Advanced Systems Laboratory) at the GTRI primarily working with high-power vacuum tube amplifiers and antennas. His current research interest is in novel technologies for VLF wave generation.

Varun Rajput, ECE
Joined Fall 2022
Varun is a Ph.D. student from San Jose, CA. He received his B.S. in Electrical Engineering and a minor in Mathematics from Arizona State University. His research is focused around using VLF transmitter-receiver pairs as well as lightning generated VLF signals to determine ionospheric conditions.

Matthew Strong, ECE
Joined Fall 2023
Matthew is a Ph.D. student.

Abrar Mohammed, CS
Joined Fall 2023
Abrar is an MS student.

Zach Perlman, CS
Joined Fall 2023
Zach is an MS student.

Matthew Woodward
Joined Fall 2022

Nick Gross
PhD Graduated Fall 2018
Thesis topic: Machine learning for ionospheric remote sensing
Worked after graduating for US Air Force

Jackson McCormick
PhD Graduated Fall 2019
Thesis topic: VLF signals from lightning for tomographic ionospheric mapping

Marc Higginson-Rollins
PhD Graduated Spring 2020
Thesis topic: LF sounding of the lower ionosphere
Worked after graduating for McKinsey

Parker Singletary
PhD Graduated Spring 2020
Thesis topic: High speed plasma antenna modeling
Worked after graduating for GTRI

Tohid Shekari
PhD Graduated Summer 2021
Thesis topic: Power grid and energy market cybersecurity
Worked after graduating for Amazon

Ted Slevin, ECE
PhD Graduated Spring 2022
Thesis topic: Time-varying electrically short antennas
Worked after graduating for MITRE Corp

Nikhil Pailoor, ECE
PhD Graduated Fall 2022
Thesis topic: Lightning's impacts on the radiation belts
Worked after graduating for Los Alamos National Labs

Charles Topliff, ML-ECE
PhD Graduated Spring 2023
Thesis topic: Machine learning forecasting of solar wind
Worked after graduating for Morgan Stanley

David Richardson, ECE
PhD Graduated Summer 2023
Thesis topic: D-Region Ionospheric Remote Sensing and Mapping
Worked after graduating for Sandia National Labs

Lee Thompson
MS Graduated Fall 2017
Thesis topic: Time varying electrically short antennas
Worked after graduating at SpaceX

Timothy Bolton
MS Graduated Spring 2016
Thesis topic: Electric loop antenna design
Worked after graduating at Naval Undersea Warfare Center (NUWC)

Ajeet Maurya
Completed Fulbright Fellowship Fall 2016
Worked after finishing at Indian Institute of Geomagnetism

Gebreab K. Zewdie (GB)
Completed Postdoc Fellowship Spring 2021
GB joined the the Low Frequency Radio Lab at Georgia Institute of Technology as a postdoctoral researcher in August 2019. He graduated with his PhD in Physics from the University of Texas at Dallas. GB is currently working on the application of advanced machine learning methods and physics based models to forecast space weather effects globally. He is also interested in the application of machine learning for societal benefits, such as forecasting environmental pollution and predicting particulates affecting susceptible individuals
Worked at Verizon after finishing postdoc

Jackson McCormick
Completed Postdoc Fellowship Spring 2021

Tohid Shekari, ECE
Completed Postdoc Fellowship Summer 2020
Tohid's research interests included cyber-physical system security, cybersecurity in power systems, intrusion detection in power substations, and power system resilience. LinkedIn
Worked at Amazon after finishing postdoc

Baris Gurses
BS Thesis Completed Spring 2021
Thesis topic: Electric field VLF/LF receiver design
Attended Cal Tech after graduation