Education

• 

  Ph.D. in Electrical Engineering and Computer Science — UC Irvine (Expected 2028)

  • Recipient of the UCI Graduate Dean’s Recruitment Fellowship Award
• 

  M.S. in Electrical and Computer Engineering — Rice University (2024)

  • Thesis: Distributed Multi-User Beamforming in the Presence of CFO: An Analytical and Experimental Study
• 

  B.S. in Electrical and Computer Engineering — University of Tehran (2019)

  • Thesis: Design and Hardware Implementation of a MIMO-OFDM System Using High-Level Synthesis Techniques

Research Interests

• Wireless Communication: Integrated Sensing and Communication (ISAC), Cell‑Free / Distributed MIMO, Resource Allocation, Beamforming
• ML & Optimization: Distributed Optimizations, Reinforcement Learning, AI/ML for Next-Gen Wireless Systems

Professional Work Experience

• Conducting research on Reinforcement Learning and Graph Neural Network (GNN) architectures for cooperative Integrated Sensing and Communications (ISAC) networks.
• Designing decentralized ADMM-based algorithms for resource allocation in Cell-Free ISAC systems.
• Developing large-scale network simulations and optimization pipelines using Python (PyTorch), CVXPY, and Gurobi.
• Supervisor: Prof. A. Lee Swindlehurst

• Conducted research on distributed multi‑user MIMO beamforming for next‑generation wireless networks.
• Evaluated performance and robustness of distributed multi‑user beamforming techniques using RENEW platform.
• Measurements: Collected over 200 datasets using the RENEW platform, featuring a 64‑antenna BS and up to 8 users. Click here to access datasets.
• Supervisor: Dr. Rahman Doost-Mohammady

• Mentored five undergraduate students on a project sponsored by Rice EMS to conduct an analysis of their datasets across various domains.
• Developed Time Series prediction models to anticipate future requirements within each area and provide insights into the overall organizational needs.

• Developed OFDM and SC-FDE systems on Xilinx FPGAs using High-Level Synthesis (HLS) as part of a broader study on MIMO communications.
• Conducted full-stack system design, from theoretical modeling in MATLAB/Python to experimental evaluation and C/C++ implementation on hardware.
• Supervisor: Dr. Aliazam Abbasfar

• Designed and implemented hybrid radio links (FM analog and OFDM digital) for drones, enabling real-time transmission of video, GPS, and control commands.
• Conducted research on telemetry system implementation strategies for vehicular communication in drone networks.

• Developed a 2.4GHz ISM band IoT system to enable remote control functionality for elevator central control boards.
• Engineered embedded C/C++ firmware for AVR and ARM microcontrollers, implementing efficient serial data transmission protocols.

• Simulated parabolic and patch antennas using HFSS and CST, specifically improving VSWR and Gain performance.
• Implemented Point-to-Point and Point-to-Multi-Point wireless links, utilizing wireless network standards and Software-Defined Radio (SDR) concepts.

Skills

• Key Skills: Wireless Communication Systems, Statistical Signal Processing, Optimization, Applied ML
• Programming: C, C++, Python, MATLAB, LaTeX, Verilog
• Network Simulators: NS‑3, Wireshark, OPNET, NS‑2
• Software‑Defined Radios: GNU‑Radio, Agora, Iris‑SDR, USRP, WARP, SRS‑LTE
• Embedded/FPGA: ARM‑STM32, DSP, Atmel‑AVR, FPGA: Xilinx‑Zedboard, Hihg‑Level Synthesis

Honors & Awards

Teaching Assistant Experiences

Selected Courses