Profile
Holder of a Dr.-Ing. (Ph.D.) in Communication Engineering from the Technical University of Berlin, with prior B.S. and M.Sc. degrees from Istanbul Technical University in Electronics and Communication Engineering, respectively.
My research interests cover optimization challenges in communication and signal processing, focusing on predictive modeling, combinatorial and stochastic optimization, and AI approaches for solving inverse problems.
Education
Ph.D. in Communication Engineering
2015 to 2021 at Berlin Technical University, Berlin, GermanyM.Sc. in Communication Engineering
2012 to 2014 at Istanbul Technical University, Istanbul, TurkeyB.Sc. in Electronics Engineering
2008 to 2012 at Istanbul Technical University, Istanbul, TurkeyExperience
Research Associate
From 2022 to 2024 at Fraunhofer Heinrich Hertz Institute HHI, Berlin, GermanyDevelopment and implementation of novel algorithms and methods of machine learning and signal processing with application to the wireless communication systems and beyond.
Research Assistant
From April 2019 to October 2021 at Technische Universität Berlin, Berlin, GermanyDevelopment of multi criteria optimization strategies for signal processing and wireless communication networks applications.
PhD Researcher
From 2015 to October 2021 at Technische Universität Berlin, Berlin, Germany
Visiting Researcher
From 2015 to 2022 at Fraunhofer Heinrich Hertz Institute HHI, Berlin, Germany
Part Time Engineer at R&D Department
From August 2013 to February 2014 at Yapi Kredi Bank, Gebze, TurkeyTeam member of an R&D project on client execution optimization at a banking company using data forecasting and analysis.
Certifications
- Machine Learning Specialization, [Stanford University & DeepLearning.AI]
- IBM Data Science Professional Certificate, [IBM]
- Applied Data Science Specilization, [IBM]
Skills
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Machine Learning
- Python (Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, TensorFlow), Flask
- MLOps (Model Deployment, CI/CD, Monitoring)
- AWS (SageMaker for ML workflows, Elastic Beanstalk for app deployment)
- HPC Cluster: Utilizing High-Performance Computing cluster for parallel computing tasks.
- MATLAB, C, Java (Beginner), C# (Beginner), Simulink, NS3
Research Interests
- Optimization in Communication and Signal Processing: Development of combinatorial, stochastic, and multi-criteria optimization methods, with applications in signal processing and wireless communication.
- Predictive Modeling: Using methods like neural networks, Gaussian Processes, kernel methods.
- Learning-Based Solutions: AI approaches for Inverse Problems in Communication, Signal Processing, and Imaging.
- Convex analysis.
- Representation Theory and Compressed Sensing.
- Low-Rank Matrix Recovery: Applied in sensor network localization, emphasizing practical applications in recommender systems.
- Machine Learning Expertise: Experienced in building and deploying models that interpret complex datasets, with a keen focus on practical outcomes.
Publications
For further details, please refer to my resume at: