Pedram Johari
Principal Research Scientist,
Electrical and Computer Engineering
Office
- 406 ISEC
Selected Research Projects
- AutoRAN: Automated End-to-End Continuous Testing for Open and Disaggregated Cellular Systems
- – co-Principle Investigator, CHIPS and Science Act
- DigiRAN: High-Fidelity Digital Twins for Interoperability, Security and Performance Testing of Open RAN Systems
- – Principle Investigator, CHIPS and Science Act
- Smart Seizure Prediction System based on AI-enabled Implantable Sensor Networks
- – co-Principle Investigator, National Science Foundation
Research Centers and Institutes
Nov 26, 2024
Optimizing Wireless Networks With Digital Twins
ECE Principal Research Scientist Pedram Johari and William Lincoln Smith Professor Tommaso Melodia received the Best Paper Award for “TwiNet: Connecting Real World Networks to Their Digital Twins Through a Live Bidirectional Link” at the 2024 IEEE Global Communications Conference.
Jun 05, 2024
Best Short Paper Award for Simulating Connected Cars With ColosSUMO
ECE Research Engineer Gabriele Gemmi, Principal Research Scientist Pedram Johari, Assistant Research Professor Michael Polese, and William Lincoln Smith Professor Tommaso Melodia received the Best Short Paper Award for their paper “ColosSUMO: Evaluating Cooperative Driving Applications With Colosseum” at the 2024 IEEE Vehicular Networking Conference (VNC) in Japan.
Jan 23, 2024
$2M Award for AI-Powered Testing for Next-Gen Cellular Networks
ECE Assistant Research Professor Michele Polese is leading a $2 million project awarded by the Wireless Innovation Fund for “AutoRAN: Automated End-to-End Continuous Testing for Open and Disaggregated Cellular Systems.”
Nov 30, 2023
$2M Award for Developing Cutting-Edge Testing Technology for 5G Open RAN
ECE Principal Research Scientist Pedram Johari is leading a $2M project awarded by the Wireless Innovation Fund to develop a digital framework for testing 5G Open RAN systems called “DigiRAN: High-Fidelity Digital Twins for Interoperability, Security and Performance Testing of Open RAN Systems.”
Aug 17, 2022
Predicting Seizures in Epilepsy Patients
ECE Professor Tommaso Melodia and Principal Research Scientist Pedram Johari, in collaboration with Joseph Neimat from the University of Louisville, Jorge Jimenez from the Georgia Institute of Technology, and Doug Pham from Microchip Technology Inc., received a $550K NSF Partnerships for Innovation – Research Partnerships (PFI-RP) grant for “Smart Seizure Prediction System based on AI-enabled Implantable Sensor Networks.”