Burak ÖZPOYRAZ

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EDUCATION

Koç University – Electrical and Electronics Engineering

Master of Science (Jan. 2020 – Jan. 2022)

• Master Thesis: Next-Generation MIMO Systems: From Index Modulation to Deep Learning
• Supervisor: Assoc. Prof. Ertuğrul Başar
• Courses:
  1. Wireless Communications / Assoc. Prof. Ertuğrul Başar
  2. Deep Learning / Prof. Deniz Yüret
  3. Random Process / Assoc. Prof. Ertuğrul Başar
  4. Information Theory / Prof. Özgür Barış Akan
  5. Machine Learning in Wireless Networks / Prof. Sinem Çöleri
  6. Advances in Deep Learning / Assoc. Prof. Aykut Erdem
• GPA: 3.77

Istanbul Technical University – Electronics and Communication Engineering

Bachelor of Science (Sep. 2014 – Jan. 2020)

• Bachelor Thesis: Index Modulation-Based Secure Wireless Communication Systems
• Supervisor: Prof. İbrahim Altunbaş
• GPA: 3.77

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RESEARCH

Research Experience

RWTH Aachen University – Mobile Communications and Computing (MCC) Institute

Research & Teaching Assistant (Sep. 2022 – Sep. 2024)

• Senior researcher studying the following research topics:
  1. Joint Communication and Sensing (JCAS)
  2. Frequency Modulated Continuous Wave (FMCW) Radar Sensing
  3. Orthogonal Frequency Division Multiplexing (OFDM)-Based Bistatic Radar Sensing
  4. Implementation of OFDM-Based Radar Sensing with USRPs
• Teaching assistant of the following course:
  1. LEGO Mindstorms Laboratory: Teaching MATLAB by simple robotic projects implemented with LEGO Mindstorms EV3 robots

Koç University – Communications Research and Innovation Laboratory (CoreLab)

Research & Teaching Assistant (Jan. 2020 – Jan. 2022)

• Mentor for newcomer students:
  1. Preparing a document including fundamental theoretical and MATLAB programming details of the physical layer of wireless communications
  2. Assigning simulation tasks for the understanding of basic concepts of the physical layer prior to beginning comprehensive research
• A senior researcher studying the following research topics:
  1. Physical Layer Security
  2. Index Modulation Techniques
  3. Deep Learning in the Physical Layer of Wireless Communications
  4. IEEE 802.11be (Wi-Fi 7) Standard
  5. Single Carrier Communications with USRPs

Research Projects

OFDM-Based Bistatic Sensing

RWTH Aachen University – MCC (Sep. 2022 – Sep. 2024)

• Examining the motivation behind using bistatic sensing instead of monostatic sensing while also exploring the applications in which a bistatic sensing system is the most suitable option
• Investigating the effect of bistatic receiver location on localization performance

Benchmark FMCW Radar Use Cases

RWTH Aachen University – MCC (Sep. 2022 – Sep. 2024)

• Exploring the performance of an automotive FMCW radar under a simplistic street scenario including a static and a moving target
• Examining the attainable key performance indicators (KPIs), such as probability of detection and range resolution, for various sensing applications considering practical radar parameters
• Comparing the performance of FMCW radars to OFDM radars

Deep Learning-Based Next-Generation Wireless Communications Systems

Koç University – CoreLab (Jan. 2021 – Jan. 2022)

• Developing revolutionary DL-aided physical layer techniques to satisfy the stringent physical layer requirements of the next-generation wireless communications
• TUBITAK (State Research and Science Funding Institute) Project Proposal: DL-based innovative physical layer techniques in four main research directions with three more contributors:
  1. DL for Emerging MIMO Systems (My Field of Study)
  2. DL for Multi-Carrier Waveform Designs
  3. DL-aided Reconfigurable Intelligent Surface Based Systems
  4. Physical Layer Security Meets DL

Next-Generation Wi-Fi Physical Layer Designs

Koç University – CoreLab (Sep. 2020 – Jan. 2022)

• Developing novel transceiver designs, signaling algorithms, and multi-carrier waveform designs for next-generation Wi-Fi standards.
• My Field of Study: Innovative single-carrier MU-MIMO system models based on sophisticated IM and DL techniques for the physical layer of next-generation Wi-Fi technologies.

Index Modulation Techniques for Secure MIMO Systems

Koç University – CoreLab (Jan. 2020 – Sep. 2020)

• Developing cutting-edge IM methods that allow extremely reliable, secure, and high-throughput multi-user (MU) multiple-input multiple-output (MIMO) systems
• Low-complexity and low-cost IM-based MU-MIMO transceiver designs that provide high spectral efficiency and data rate
• Physical layer security schemes for MU-MIMO systems utilizing sophisticated precoding schemes, artificial noise, random nature of channel environment, and advanced IM techniques

Single-Carrier Communications with USRPs

Koç University – CoreLab (Sep. 2018 – Jan. 2020)

• [TX] Frame Structure Design
• [RX] Frame & Timing (Symbol) Synchronization
• [RX] Channel Estimation & Equalization
• [RX] Signal-to-Noise Ratio (SNR) Estimation
• Text, Image, and Speech Transmission

Self-Initiated Projects

MATLAB EURO 2024 Predictor

Jun. 2024 – Jul. 2024

• MATLAB-based match score predictor for EURO 2024 based on the following offensive and defensive statistics from the qualification groups:
  1. [OFF] xG, Scored Goals, Rival xGA
  2. [DEF] xGA, Conceded Goals, Rival xG
• MATLAB algorithm and data can be found on GitHub.

NöbetApp

Jun. 2022 – Present

• Developing a Python-based duty roster scheduling app for physicians and nurses
• Developing Pyomo-based optimization algorithm for scheduling
• Developing Streamlit-based web application for friendly user experience

Research Interests

Joint Communication and Sensing

Data Analysis in Football

Deep Learning in Physical Layer

Index Modulation Techniques

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Publications

Journals

• [J2] B. Ozpoyraz, A. T. Dogukan, Y. Gevez, U. Altun and E. Basar, “Deep Learning-Aided 6G Wireless Networks: A Comprehensive Survey of Revolutionary PHY Architectures,” in IEEE Open Journal of the Communications Society, vol. 3, pp. 1749-1809, 2022, doi: 10.1109/OJCOMS.2022.3210648.
• [J1] B. Ozpoyraz, I. Yildirim and E. Basar, “Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications,” in IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 5155-5159, May 2021, doi: 10.1109/TVT.2021.3076688.

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Professional Development

Skills

Work Experience

Mikrop Robotics

Android Software Developer (June 2017 – Jan. 2018)

• Designing swarm robots called Mikro-P with a robotic learning and entertainment platform
• Developing an Android application for the motor-controlling task
• Circuit design and programming of Mikro-P

arı24

Android Software Developer (July 2016 – May 2017)

• News portal of Istanbul Technical University
• Developing an app for arı24 which aims to reflect the arı24 website

MATLAB-101

Voluntary Work

Byte & Bite Academy

YouTube (Mar. 2024 – Present)

• Creator of the YouTube channel on MATLAB programming and gastronomy.

Control and Automation Society (OTOKON)

Istanbul Technical University (Oct. 2022 – Present)

• Mentor of the society
• Creator of the AlgoLAB category that is a competition of MATLAB problem-solving for Istanbul Technical University Robotic Olympics (İTÜRO)

MATLAB Instructor

Freelance (Nov. 2020 – Present)

• Instructing online and face-to-face MATLAB courses for various university societies (20 Courses)

APIS RND Satellite Team

Istanbul Technical University – (Jan. 2019 – Oct. 2019)

• The electronic team leader of the model satellite project

MEMS Research Group

Istanbul Technical University (Sep. 2017 – Sep. 2018)

• Electronic circuit designer of the diagnosing cancer mechanism project

Control and Automation Society (OTOKON)

Istanbul Technical University (Sep. 2016 – June 2018)

• Leading participant in the autonomous drone project
• Organization committee member of İTÜRO
• Leader of the robotic team named OTOKON Robotics

Awards

• 2022 – IEEE ComSoc Turkey Master Thesis Competition – Special Success Award
• 2019 – Teknofest Istanbul – 4th Place (APIS RND Satellite Team)
• 2018 – Teknofest Istanbul – 2nd Place (MEMS Research Group)

Licence and Certificates

• April 2021 – Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization – Coursera
• June 2020 – Neural Networks and Deep Learning – Coursera
• August 2018 – Learn Python 2 Course – Codeacademy
• July 2017 – Learn the Command Line Course – Codeacademy

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Hobby

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Contact

If you have any questions, any project suggestions related to my research area, or a need for a MATLAB-101 course, please don’t hesitate to get in touch with me. If you get an error with the contact form below, you can directly send an email to burakozpoyraz@gmail.com.