Mert Şentürk
Artificial Intelligence & Integrated Circuit Design
My primary interests lie at the convergence of artificial intelligence and semiconductor technology. I am keenly focused on the research and development of novel analog and mixed-signal integrated circuits, as well as the application of machine learning, particularly graph neural networks, to solve complex engineering problems.
Get in TouchAbout Me
Hello! I'm Mert, an Electrical Engineering student at KU Leuven. My academic and professional journey is driven by a deep curiosity for the intersection of hardware and software, specifically in integrated circuit design and artificial intelligence.
I've worked on Analog & Mixed-Signal Circuit Design through various projects while working at TÜBİTAK and during my Bachelor's Thesis. My experience also includes research in Graph Neural Networks and practical internships where I worked on Photonic & Plasmonic Systems.
I thrive in challenging environments that allow me to apply my analytical skills and continuously learn. I'm always looking for opportunities to contribute to innovative projects that push the boundaries of technology.
Work Experience
Candidate Researcher
TÜBİTAK BİLGEM - IC Design & Education Laboratory
Jan 2024 - May 2025
As a candidate researcher, I am deeply involved in the end-to-end design flow of complex analog and mixed-signal circuits. My responsibilities include the architectural design, schematic capture, simulation, and physical layout of IC building blocks. This role has provided me with extensive hands-on experience with industry-standard EDA tools and methodologies.
- Analog & Mixed-Signal Design: Designed or modelled Analog-to-Digital Converters (ADCs), high-speed Serializer/Deserializer (SerDes) blocks, Low-Dropout Regulators (LDOs), and precision Bandgap References.
- Digital Implementation on FPGAs: Gained proficiency in digital design by synthesizing and implementing various circuits on FPGAs. Key projects include a robust UART communication module, a custom encryption/decryption algorithm, and the successful implementation of a RISC-V processor core.
Intern - Analog Design
MKR-IC (Aselsan)
Jul 2024 - Aug 2024
- Designed and laid out various comparator topologies to minimize offset.
- Designed Bandgap References and performed modelling on Verilog-A.
Intern - Photonic & Plasmonic Systems
Fraunhofer IZM
Jul 2022 - Aug 2022
- Developed Python scripts for monitoring and data collection from electronic instruments for Photonic System Analysis and Measurement Systems.
- Created a modular system for object detection utilizing image processing on drones.
Undergraduate Research Assistant
VAVlab, Boğaziçi University
Nov 2022 - Jan 2024
- Worked and learned under the supervision of Prof. Burak Acar & Prof. Alper T. Erdoğan to utilize Polytopic Matrix Factorization in varying biomedical datasets.
- Utilized Graph Neural Networks Architectures (GraphSAGE, GCN, GIN) to map varying datasets with high precision.
Education
BSc in Electrical & Electronics Engineering
Boğaziçi University
2021 - 2025
- Graduated with High Honors.
- Recipient of the Yorgo Istefanopulos Best Senior Design Project Award (Best Bachelor's Thesis Award).
- I did my Bachelor's Thesis "An Ultra-Low-Noise Low-Power CMOS LNA for Biosensing Applications" under the supervision of Prof. Arda Deniz Yalçınkaya and co-supervision of Prof. Günhan Dündar.
- Thesis Work was presented and published at SMACD 2025.
High School Diploma
Eyüboğlu Science & Technology High School
2017 - 2021
- Graduated 1st in class.
- Received a Merit-Based Full-Ride Scholarship (100%).
- Top 0.03% in the University Entrance Examination(YKS).
Key Projects & Publications
Optically Powered CMOS LNA for MRI
Award-Winning Senior Design Project & Publication (SMACD 2025)
This project involved the design of two low-voltage CMOS Low-Noise-Amplifiers (LNAs) for optically powered Magnetic Resonance Imaging (MRI) front-ends. The primary challenge was achieving a sub-1 dB Noise Figure (NF) at 1.5T while operating from a minimal 0.7V supply provided by a photodiode. The designs successfully met the stringent noise requirements for high-contrast imaging with only 1.4mW of power consumption. This work, which formed the basis of my senior thesis, was recognized with the Yorgo Istefanopulos Best Senior Design Project Award.
Technical Skills
IC Design & EDA Tools
Hardware Description Languages
Programming & Software
Get In Touch
I'm currently seeking new opportunities and challenges. Whether you have a question or just want to connect, feel free to reach out. I'll do my best to get back to you!