دکتر حسین سلیمانی

استادیار گروه مخابرات - سیستم
دانشکده برق
دانشگاه علم وصنعت ایران

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درباره

حسین سلیمانی استادیار گروه مخابرات (سیستم) دانشکده برق دانشگاه علم وصنعت ایران می‌باشد.
او از سال 97 تا 98 به عنوان پژوهشگر دوره پسادکتری در پژوهشگاه دانش‌های بنیادی مشغول به کار بود.
درسال 97 مدرک دکتری خود را در رشته برق-مخابرات از دانشگاه اتاوا، کانادا دریافت نمود.
وی در سال 84 با رتبه 50 کنکور سراسری در رشته برق دانشگاه صنعتی شریف پذیرفته شد. در سال 88 پس از دریافت مدرک کارشناسی با رتبه 9 کنکور کارشناسی ارشد در رشته مخابرات سیستم دانشگاه صنعتی شریف پذیرفته شد و در سال 90 مقطع ارشد را با موفقیت به پایان رساند.
زمینه‌های تحقیقاتی وی شامل شبکه‌های بی‌سیم، شبکه‌های نسل پنجم و همچنین کاربرد یادگیری ماشین در شبکه‌های مخابراتی می‌باشد.

تحصیلات

دانشگاه صنعتی شریف

کارشناسی
in مهندسی برق - مخابرات
استاد راهنما:
دکتر مهدی نایبی
2005-2009

دانشگاه صنعتی شریف

کارشناسی ارشد
مهندسی برق- مخابرات سیستم
استاد راهنما:
دکتر فرید آشتیانی
2009-2011

دانشگاه اتاوا (کانادا)

دکتری
مهندسی برق- مخابرات سیستم
استاد راهنما:
Prof. Azzedine Boukerche
2013-2018

پژوهشگاه دانش‌های بنیادی

پسادکتری
2018-2020

2023- Distinguished Teaching Professor of Iran University of Science and Technology
1398 - جایزه دکتر آشتیایی (تسهیلات جذب هیات علمی نخبگان)
1397 - جایزه شهید چمران (تسهیلات پسادکتری نخبگان)
2015- CUPE Scholarships
2013- University of Ottawa International Student Scholarship
گرنت بابت پایان نامه کارشناسی ارشد از مرکز تحقیقات مخابرات
1388 - رتبه 9 آزمون سراسری کارشناسی ارشد
1384 - رتبه 50 آزمون سراسری
1381 - برگزیده شدن میان 70 نفر برتر المپیاد ریاضی

افتخارات

زمینه تحقیقاتی

دروس

مقالات

H. Soleimani, “Throughput Analysis of a Cognitive Multihop IEEE 802.11-based WLAN Overlaid on a Cellular Network,” SOFTCOM, Split, Croatia, 2011.
H. Soleimani, “CAMS transmission rate adaptation for vehicular safety application in LTE,” DivaNet, Montreal, 2014. [Full Text]
H. Soleimani, “SLA: Speed and Location Aware LTE Scheduler for Vehicular Safety Applications,” MobiWac, Cancun, 2015. [Full Text]
H. Soleimani, “D2D scheme for vehicular safety applications in LTE advanced network,” ICC, Paris, 2017.
H. Soleimani, “A comparative study of possible solutions for transmission of vehicular safety messages in LTE-based networks,” PIMRC, Montreal, 2017.
H. Soleimani, “Safety message generation rate adaptation in LTE-based vehicular networks,” Computer Networks, 2017. [Full Text]
H. Soleimani, “On Vehicular Safety Message Transmissions Through LTE-Advanced Networks,” AdHoc Networks, 2018. [Full Text]
H. Soleimani, “LTE/LTE-Advanced for Vehicular Safety Applications,” Ph.D. Thesis, University of Ottawa, Canada, 2018.
B. Azadegan and H. Soleimani, “Resistance against spot jamming by using pulse compression based on quadru-phase and frequency codes in radar systems,” Digital Signal Processing, 2020. [Full Text]
H. Soleimani, “5G, LTE and LTE-Advanced for Vehicular Communications,” IEEE Transactions on Vehicular Technology, 2020 (submitted).
M. Shahrab and H. Soleimani, “Secure hybrid pulse compression as a technique against jamming in radar systems,” Physical Communication, 2020. [Full Text]
F. Ghorbani and H. Soleimani, “Deep neural network-based automatic metasurface design with a wide frequency range,” Scientific Reports, 2021. [Full Text]
P. Yaghoubi and H. Soleimani, “A new method for SIAR transmitting waveforms to reduce the range-angle coupling,” IEEE Sensors Letters, 2021.
F. Ghorbani and H. Soleimani, “A deep learning approach for inverse design of the metasurface for dual-polarized waves,” Applied Physics A, 2021. [Full Text]
P. Yaghoubi Aliabad and 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, Sonar & Navigation, 2022. [Full Text]
F. Ghorbani and H. Soleimani, “Simultaneous Estimation of Wall and Object Parameters in TWR Using Deep Neural Network,” International Journal of Antennas and Propagation, 2022. [Full Text]
F. Ghorbani and H. Soleimani, “Through-the-Wall Radar under Electromagnetic Complex Wall: A Deep Learning Approach,” Results in Applied Mathematics, 2023. [Full Text]
P. Yaghoubi and H. Soleimani, “Reducing the Sidelobes in Doppler-Range Beam Pattern and Controlling the Frequency Channel in SIAR,” Wireless Communications and Mobile Computing, 2023. [Full Text]
N. Omrani and H. Soleimani, “Deep Learning Design of Orbital Angular Momentum Generators by Leaky-wave Holograms,” IEEE Antennas and Wireless Propagation Letters, 2023. [Full Text]
A. Ghanbarzadeh and H. Soleimani, “In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries,” IEEE ACCESS, 2024. [Full Text]
A. Ghanbarzadeh and H. Soleimani, “Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification,” Heliyon, 2024. [Full Text]
O. Abolghasemi and H. Soleimani, “Scalable solutions for implementing satellite-based sensor networks,” Results in Engineering, 2024. [Full Text]
P. Yaghoubi and H. Soleimani, “The Effect of Antenna Place Codes for Reducing Sidelobes of SIAR and Frequency Diverse Array Sensors,” IET Signal Processing, 2024. [Full Text]
A. Roohi Nakhostin and H. Soleimani, “Minimizing ISL in DFT-spread OFDM Radar Using Complementary Overlaying and Greedy-MSA Optimization,” IEEE ACCESS, 2024. [Full Text]
P. Shojaei and H. Soleimani, “Supervised AutoEncoder-Based Beamforming Approach for Satellite mmWave Communication,” International Journal of Antennas and Propagation, 2024. [Full Text]
F. Soheili and H. Soleimani, “Enhancing Security and Energy Efficiency in Wireless Sensor Networks Using Trust-Based Routing and Reinforcement Learning,” (Submitted), 2024.
M. Mashayekhi and H. Soleimani, “Beamforming of Time-Modulated Antenna Array using Convolutional Neural Networks,” Journal of Space Science, Technology & Applications, 2024.
M. Qanbarian and H. Soleimani, “Advanced Adaptive Modulation and Coding with Deep Reinforcement Learning for Dynamic Channel Conditions,” (Submitted), 2024.
H. Alimohammadi and H. Soleimani, “Targeted Group Jamming Against Radar Systems,” Electronic and Cyber Defense, 2024.
M. Jahangiri and H. Soleimani, “Beam Steering by Two Vertically Faced Metasurfaces Using Polarization-Free Unit Cells with Three Operating Modes,” Scientific Reports, 2025. [Full Text]
M. Mashayekhi and H. Soleimani, “Fundamental and Harmonic Beamforming of Desire Time-Modulated Planar Arrays With Deep Learning,” IET Microwaves, Antennas & Propagation, 2025. [Full Text]
A. Roohi Nakhostin and H. Soleimani, “Alternating MSA and Mo-QEA to Design Slow-Time Coded PRF-Set in Pulse-Doppler Radar,” IEEE ACCESS, 2025. [Full Text]
M. Datli and H. Soleimani, “Detection of Multiple Jamming Signals Using Range Doppler Map Images,” Wireless Personal Communications, 2025. [Full Text]
M. Eskandarpour and H. Soleimani, “Enhancing Lifetime and Reliability in WSNs: Complementary of Dual-Battery Systems Energy Management Strategy,” International Journal of Distributed Sensor Networks, 2025. [Full Text]
H. Asadian-Rad and H. Soleimani, “Energy Efficient Task Offloading in UAV-Enabled MEC Using a Fully Decentralized Deep Reinforcement Learning Approach,” arXiv preprint, 2025. [Full Text]
P. Soltani and H. Soleimani, “Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach,” arXiv preprint, 2025.
P. Soltani and H. Soleimani, “Energy-Efficient Routing Algorithm for Wireless Sensor Networks: A Multi-Agent Reinforcement Learning Approach,” arXiv preprint, 2025. [Full Text]
M. Eskandarpour and H. Soleimani, “Deep Reinforcement Learning Approach to QoSAware Load Balancing in 5G Cellular Networks under User Mobility and Observation Uncertainty,” arXiv preprint, 2025. [Full Text]
O. Abolghasemi and H. Soleimani, “Info-KMeans: Enhancing Wireless Sensor Network Lifetime Through Information-Aware Clustering,” IET Wireless Sensor Systems, 2026. [Full Text]
M. Eskandarpour and H. Soleimani, “A Game-Theoretic Reinforcement Learning Approach to Energy-Balanced Cluster-Head Selection in Wireless Sensor Networks,” IET Networks, 2026. [Full Text]