Dr. Hossein Soleimani

Assistant Professor

Department of Electrical Engineering

Iran University of Science and Technology (IUST)

Prospective students:
Please feel free to contact me. Please include your resume with your grades.

About

Hossein Soleimani is an assistant professor with department of Electrical Engineering, Iran University of Sciences and Technology.
He was a post-doctoral research fellow at the Institute for Research in Fundamental Sciences (IPM), Iran from 2018 to 2020.
He received his PhD degree in Electrical Engineering from the University of Ottawa, Canada, in 2018.
He received his BSc and MSc degrees in electrical engineering from Sharif University of Iran, in 2009 and 2011, respectively.
His main areas of research interest are cellular networks, mobile/vehicular ad hoc networks, radar systems, 5G networks, Applications of Machine Learning in wireless networks, and performance evaluation.

Education

Sharif University of Technology

B.Sc.
in Electrical Engineering
Supervisor: Prof.
Mahdi Nayebi
2005-2009

Sharif University of Technology

M.Sc.
in Electrical Engineering
Supervisor: Dr.
Farid Ashtiani
2009-2011

University of Ottawa

Ph.D.
in Electrical Engineering
Supervisor:
Prof. Azzedine Boukerche
2013-2018

Institute for Research in Fundamental Sciences (IPM)

Post-Doc
2018-2020

2019- Dr. Ashtiani Scholarships (National Elite Foundation Scholarships)
2018- Sh. Chamran Scholarships (National Elite Foundation scholarships)
2015- CUPE Scholarships
2013- University of Ottawa International Student Scholarship
2011- Research grant for M. Sc. Thesis from ITRC
2009- Ranked 9th at the national exam for entering M.Sc. studies in Iran
2005- Ranked 50th in the Iranian university entrance exam
2001- Ranked the top 70 students at National Mathematics Olympiad

Honors & Awards

Research Areas

Teaching

Publications

H.soleimani and F.Ashtiani “Throughput Analysis of a Cognitive Multihop IEEE 802.11-based WLAN Overlaid on a Cellular Network”, SOFTCOM, split, 2011
H. Soleimani and A. Boukerche, “CAMS transmission rate adaptation for vehicular safety application in LTE” DivaNet, Montreal, 2014
H. Soleimani and A. Boukerche, “SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications” MobiWac, Cancun, 2015
H. Soleimani and A. Boukerche, “D2D scheme for vehicular safety applications in LTE advanced network,” ICC, Paris, 2017
H. Soleimani and A. Boukerche, “A comparative study of possible solutions for transmission of vehicular safety messages in LTE-based networks” PIMRC, Montreal, 2017
H. Soleimani, T. Begin, A. Boukerche, “Safety message generation rate adaptation in LTE-based vehicular networks”, Computer Networks, 2017.
H. Soleimani and A. Boukerche, “On Vehicular Safety Message Transmissions Through LTE-Advanced Networks” AdHoc Networks, 2018
H. Soleimani, “LTE/LTE-Advanced for Vehicular Safety Applications”, Ph.D. Thesis, University of Ottawa, Canada, 2018
B. Azadegan, H. Soleimani, “Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems” Digital Signal Processing, 2020
H. Soleimani, “5G, LTE and LTE-Advanced for Vehicular Communications”, IEEE Transactions on Vehicular Technology, 2020 (submitted)
M. Shahrab, H. Soleimani, “Secure hybrid pulse compression as a technique against jamming in radar systems”, Physical Communications, 2020
F. Ghorbani, H. Soleimani, “Deep neural network-based automatic metasurface design with a wide frequency range”, Scientific Reports, 2021
F. Ghorbani, H. Soleimani, “Deep Learning Approach for Target Locating in Through-the-Wall Radar under Electromagnetic Complex Wall”, Arxiv, 2021
F. Ghorbani, H. Soleimani, “A deep learning approach for inverse design of the metasurface for dual-polarized waves”, Applied Physics A, 2021
P. Yaghoubi, H. Soleimani, “A new method for SIAR transmitting waveforms to reduce the range-angle coupling”, IEEE Sensors letter, 2021
F. Ghorbani, H. Soleimani, “Simultaneous Estimation of Wall and Object Parameters in TWR Using Deep Neural Network”, International Journal of Antennas and Propagation, 2022.
P. Yaghoubi, H. Soleimani, “A new method for Synthetic Impulse and Aperture Radar transmitting waveform design based on non‐sequential positive, negative and random carrier frequency coding with dot product approach”, IET Radar, Sensor, and Navigation, 2022
F.Ghorbani, H. Soleimani, “Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach” , Results in Applied Mathematics, 2023
A. Ghanbarzadeh, H. Soleimani, “Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing”, arXiv preprint, 2023