Mustafa Canıtez

Mustafa CANITEZ

PhD Candidate @ Sabancı University

Electronics Engineer specializing in IC Design & Fabrication and Digital Systems.
PhD Topic: Investigation of Signaling Methods within CMOS 2.0 Architectures with IMEC.
Supervisor: Dr. Korkut Tokgöz and Dr. Yusuf Leblebici.

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Education

Ph.D. in Electronics Engineering

Feb 2026 - Present
Sabanci University
  • Research Focus: Investigation of Signaling Methods within CMOS 2.0 Architectures.

B.Sc. in Electronics Engineering

Sep 2021 - Jan 2026
Sabanci University
  • GPA: 3.63 / 4.00 (Full Scholarship)
  • Minor: Physics
  • Graduation Project: "Neural Architecture Search (NAS) Accelerator for Efficient Neural Networks on the Edge" (Supervised by Dr. Özcan Öztürk).

Experience

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Research Intern (Technology Dept.)

Jun 2025 - Sep 2025 | Brandenburg, Germany
IHP Microelectronics
  • Implemented a parameterized SPI slave in Verilog targeting IHP's SG13G3Cu digital PDK.
  • Validated behavior in Cadence Xcelium and synthesized the netlist using Cadence Genus.
  • Delivered a reproducible front-end flow with single-command bring-up automation.

Undergraduate Research Assistant (PURE)

Jan 2025 – Jun 2025
Sabanci University
  • 140GHz Envelope Detector: Designed and simulated in TSMC 65nm CMOS using ADS (Supervised by Dr. Korkut Tokgöz).

Research Intern (CAES Dept.)

Jul 2024 - Sep 2024 | Enschede, Netherlands
University of Twente
  • Prototyped solutions on STM32F746G-Discovery board and Prophesee's GenX320 neuromorphic vision sensor.
  • Contributed to an early-stage person detection project for office environments.

Undergraduate Research Assistant (PURE)

Oct 2023 – Feb 2024
Sabanci University
  • Application of Intelligent Reflecting Surfaces in Drone Communications: Modeled and simulated IRS-assisted SISO links using MATLAB for UAV mobility scenarios, focusing on SNR enhancement and path loss mitigation (Supervised by Dr. Özgür Gürbüz and Dr. Akhtar Saeed).

Teaching Assistant

Sabanci University
  • CS 302: Formal Languages and Automata Theory.
  • MATH 203: Introduction to Probability.

Skills

Domain Tools & Technologies
EDA Tools Cadence Virtuoso, ADS, Xilinx Vivado, Cadence Genus/Innovus
Programming C/C++, SystemVerilog, Python, MATLAB, Assembly
Hardware FPGA (Xilinx), STM32 Ecosystem, Neuromorphic Sensors
Other LaTeX, Git, Bash Scripting
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