faculty393049en

FA

Seyed-Javad Kazemitabar

Associate Professor

Full-Time Faculty Member

College: Electrical & Computer Engineering

Department: Communication

CV

FA

Associate Professor Seyed-Javad Kazemitabar

Full-Time Faculty Member

College: Electrical & Computer Engineering - Department: Communication

Google Scholar

Thesis

Showing 121-132 of 132 items.

#	Title	Authors	Degree	Role	Defend Location	Defended At

121	Presentation of an intelligent control method for DC bus voltage regulation in a microgrid with hybrid energy storage	حسين ملائي	Phd	-		01 January 1970
122	Automated Depression Detection from EEG Signals Using Deep Neural Network	مهسا تكيه نژاد	Phd	Supervisor		01 January 1970
123	Efficient 3D Semantic Scene Completion with Sparsity-Aware Attention, Adaptive Feature Selection and Depth-Aware BEV Decoder	حسين اكبري	Phd	Supervisor		01 January 1970
124	Deep Multi-Agent Reinforcement Learning for Energy-Sustainable Resource Allocation in 6G-Enabled SWIPT-Assisted IoT Networks	علاء دشر فرهود الفرهود	Phd	Supervisor		01 January 1970
125	A Self-Supervised JEPA-Based Framework for Quality of Service Optimization in Sixth-Generation (6G) Networks	رضا شعباني شوئيلي	Phd	Supervisor		01 January 1970
126	Reversible data hiding of encrypted images using secret sharing	محمدرضا رحيمي	Phd	-		01 January 1970
127	Designing a Competitive (Market) Mechanism for the Distinct Allocation of Reservation at the Distribution Level for Final Consumers	بهزاد حاجي پور	Phd	-		01 January 1970
128	Applying biased estimator in DoA estimation	سيداحمدرضا هاشمي پارسا	Phd	Supervisor		01 January 1970
129	Analysis, design, optimization and fabrication of voltage-controlled oscillator based analog to digital converter	جواد باباتبارپيته رودي	Phd	-		01 January 1970
130	Physical-Layer Key Generation for IoT Using Active IRS with real-Time Configuration via Deep Reinforcement Learning	صلاح حسن علي علي	Phd	-		01 January 1970
131	An Ensemble Learning Model for Improving Ionospheric Effect Estimation in VRS-GNSS Networks	ايدا اصغري	MS.	Supervisor		01 January 1970
132	Combining graph networks and hidden Markov models for detecting depression severity based on EEG signals	مهسا تكيه نژاد	Phd	Supervisor		01 January 1970

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