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WELCOME!!
WELCOME!!
We are a research group at the Department of Electrical and Computer Engineering of Missouri S&T, dedicated to contributing to the next generation of wireless systems. We create, develop, and design smart engineering technologies that optimize the available resources of the next generation of wireless systems. We aim to achieve our goal by developing theoretical optimization models combined with experimentation using state-of-art equipment available in our lab.
UPDATES
February 2023
Zachary Osterwisch, and Dr. Ahmad Alsharoa's new magazine article has been highlighted in IEEE Bridge magazine 2023.
Omar Rinchi, Dr. Ahmad Alsharoa and collaborators received an acceptance notification for their conference paper entitled "LiDAR Technology for Human Activity Recognition: Outlooks and Challenges". The paper will be published in the IEEE IoT Journal.
January 2023
Zachary Osterwisch, Omar Rinchi, Dr. Ahmad Alsharoa, and collaborators received an acceptance notification for their conference paper entitled "Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirments". The paper will be published in the proceedings of IEEE ICC 2023.
December 2022
Zachary Osterwisch, Dr. Ahmad Alsharoa, and collaborators received an acceptance notification for their conference paper entitled "Particulate Matter Detection in Mines Using 3D Light Detection and Ranging Technology". The Paper will be published in the proceedings of WCNC 2023
September 2022
Dr. Ahmad Alsharoa and Omar Rinchi have attended the NSF workshop entitled "KNIT 5: A Fabric Community Workshop". The workshop has been held at the Northeastern University in Chicago, IL. The Workshop details can be found here: Workshop details can be found here:
KNIT 5: A FABRIC Community Workshop | FABRIC Testbed (fabric-testbed.net)
August 2022
Baya Cherif has joined the OWIS lab as a Master student. Her thesis will focus on Human Activity Recognition using LiDARs.
Omar Rinchi, Dr. Ahmad Alsharoa, and collaborators received an acceptance notification for their paper entitled "Single Snapshot Localization for Near-Field RIS Model Using Atomic Norm Minimization" to be published in proceeding of the 37-th IEEE Global Communications Conference (GLOBECOM'22). The conference will be held in Rio de Janeiro, Brazil in December 2022.
June 2022
Omar Rinchi, Dr. Ahmad Alsharoa, and collaborators received an acceptance notification for their book chapter entitled "Wireless Localization with Reconfigurable Intelligent Surfaces". The full manuscript will be published later on in this year.
April 2022
Omar Rinchi has won a special mention for the 2022 Spring IEEE St. Louis student presentation competition. The IEEE St. Louis section organizes a presentation competition for PhD-level students. The students are to present their research work and be judged by a group of experts. Omar Rinchi won a special mention in the 2022 Spring version of the competition.
Omar Rinchi and Dr. Ahmad Alsharoa have published a poster and a paper entitled "Reconfigurable Intelligent Surfaces for Near-Field Localization Using Atomic Norm Minimization" in Missouri S&T's 16-th Annual Intelligent Systems Center (ISC) graduate research symposium.
February 2022
Omar Rinchi and collaborators received an acceptance notification for their journal paper entitled "Compressive Near-Field Localization for Multipath RIS-Aided Environments". The paper has been published in IEEE Communications Letters (DOI: 10.1109/LCOMM.2022.3151036)
November 2021
Omar Rinchi and collaborators have presented his new accepted paper entitled "Accurate Android-Based Navigation using Fuzzy Adaptive Extended Kalman Filter" in the proceedings of the 2-nd IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). The conference has been held in Amman, Jordan in November 2021. (DOI: 10.1109/JEEIT53412.2021.9634139 ).
Omar Rinchi has attended the NSF workshop entitled "Colosseum Young Gladiators 2021". The workshop has been held at the Northweastern University in Boston, MA. The Workshop details can be found here:
master-class2021 (northeastern.edu)
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