Omar Rinchi attended the NSF-supported workshop entitled “KNIT 5: A FABRIC Community Workshop”. The workshop was held at the Northwestern University in Chicago, IL. The Workshop details can be found here: KNIT 5: A FABRIC Community Workshop | FABRIC Testbed (fabric-testbed.net) …Continue Reading Omar Rinchi attended the KNIT 5: A FABRIC Community Workshop
Accepted Paper
One conference paper has been accepted in the IEEE Global Communications Conference (GLOBCOM), Rio de Janeiro, Brazil, titled “Single-Snapshot Localization for Near-Field RIS Model Using Atomic Norm Minimization”….Continue Reading Accepted Paper
Accepted Paper
One book chapter has been accepted in CRC Press, titled “Wireless Localization with Reconfigurable Intelligent Surfaces”….Continue Reading Accepted Paper
Omar Rinchi Won a Special Mention
Omar Rinchi won a special mention IEEE St. Louis IEEE St. Louis Section organized a student presentations competition on April 15 and 16, 2022. A total of 14 students from University of Missouri – St. Louis and Missouri University of Science and Technology presented during two sessions held on each day. Omar Rinchi has won…Continue Reading Omar Rinchi Won a Special Mention
Omar Rinchi attended Missouri S&T’s Intelligent Systems Center (ISC) 16th annual Graduate Research Symposium
Omar Rinchi attended Missouri S&T’s Intelligent Systems Center (ISC) 16th annual Graduate Research Symposium. The symposium was held at Missouri S&T in Rolla, MO. Omar presented his symposium paper titled “Reconfigurable Intelligent Surfaces for Near-field Localization Using Atomic Norm Minimization”. The symposium details can be found here: Research Symposium – Intelligent Systems Center | Missouri S&T (mst.edu)…Continue Reading Omar Rinchi attended Missouri S&T’s Intelligent Systems Center (ISC) 16th annual Graduate Research Symposium
Accepted Paper
One journal paper has been accepted in the IEEE Communications Letters, titled “Compressive Near-Field Localization For Multipath RIS-aided Environments”….Continue Reading Accepted Paper