Electronics and Communication Engineering (ECE)

Courses: Data Structures and Algorithms, Artificial Neural Networks, Machine Learning for Signal Processing, Signal Processing, Probability and Statistics, Electronic Circuits
Activities and societies: ITU Solar Car Team | ITU Chess Club | ITU Fitness | ITU Tennis

Software Development and Localization:

• Contributed to the improvement of localization systems in challenging environments such as tu nnels, utilizing sensor fusion techniques with LiDAR, IMU, and odometry data.
• Enhanced real-time position tracking and map comparison capabilities for autonomous navigation.
• Assisted in refining a data pipeline that processed complex geospatial information, enabling efficient GNSS data transformation and visualization within autonomous vehicle systems.

Algorithm Optimization and Testing:

• Led optimization efforts that significantly enhanced computational efficiency in core algorithms, improving real-time sensor data processing and system response times.
• Performed validation and stress testing to ensure the robustness and accuracy of the system, leveraging simulation tools and real-world data to fine-tune system performance.

Research and Development:

• Explored innovative methods for visualizing sensor data using archived datasets, contributing to enhanced simulation environments for autonomous systems.
• Collaborated with academic institutions to evaluate and implement emerging autonomous driving technologies, setting the stage for future improvements in autonomous navigation and control.

Documentation and Reporting:

• Created technical documentation detailing system enhancements, algorithmic optimizations, and research findings, ensuring smooth knowledge transfer and scalability within the team.
• Regularly reported on project milestones, highlighting technical advancements and providing actionable insights for ongoing and future projects in autonomous driving.

Software Development:

• Developed and deployed an On-Shelf Availability (OSA) computer vision application using AI models, including CNN and YOLO, for real-time image recognition, enhancing inventory management.
• Created and optimized mobile applications with React Native, integrating OSA AI models for seamless on-device processing and real-time decision-making.
• Leveraged Python and TensorFlow for deep learning tasks, focusing on improving OSA model accuracy and efficiency.

System Optimization:

• Enhanced the OSA model's accuracy through hyperparameter tuning and parallel processing, ensuring more reliable inventory tracking.
• Implemented encryption protocols to secure OSA data transmission.
• Conducted load and stress testing to ensure the stability and responsiveness of the OSA application.

Testing and Validation:

• Executed cross-platform testing for mobile applications and OSA AI models, ensuring consistent performance.
• Analyzed test results to optimize system efficiency and mitigate bottlenecks.
• Collaborated with teams to meet stringent security and performance standards.

Documentation and Reporting:

• Managed code versioning with Bitbucket, adhering to semantic versioning for organized development.
• Prepared technical documentation on system architecture, AI integration, and API interactions, ensuring smooth handover and scalability.
• Reported on project milestones and highlighted the OSA app's role in driving a 12% growth in sales and a 10% improvement in economic efficiency.

Software Development:

• Design and develop software modules for autonomous driving systems, including perception, planning, and control.
• Implement algorithms for object detection, localization, mapping, and path planning.
• Utilize programming languages such as C++, Python, and ROS (Robot Operating System) for software development.
• Collaborate with the software team to integrate autonomous driving software with other vehicle systems.

System Integration:

• Integrate sensors, actuators, and computing hardware into the vehicle's architecture.
• Configure and calibrate sensors, such as LiDAR, cameras, and GPS, to ensure accurate data acquisition.
• Collaborate with electrical and mechanical team members to ensure seamless integration of autonomous systems with the overall vehicle design.

Testing and Validation:

• Conduct rigorous testing of autonomous driving systems, both in simulation and real-world scenarios.
• Analyze and interpret test results to identify areas for improvement and optimization.
• Work closely with the safety team to ensure compliance with safety standards and regulations.

Documentation and Reporting:

• Maintain comprehensive documentation of software design, system architecture, and testing procedures.
• Prepare regular progress reports and present findings to the team and faculty advisors.
• Contribute to technical publications and present research outcomes at conferences or competitions.

Software Development:

• Collecting and recording beverage prices of the most popular types (filter coffee, cappuccino, and latte) from branded coffee chains across Istanbul.
• Ensuring that the data collected is accurate and up-to-date, and that all relevant details (e.g. location, chain name) are recorded.
• Analyzing the data collected to determine the average beverage prices for each branded coffee chain across Istanbul.
• Ensuring that all work is completed in a timely and efficient manner, and that deadlines are met.

Software Development:

• Updating the files shared by the professor, ensuring that the most recent and relevant materials were available for the students.
• Adding coding assignments to in-class files and GitHub, providing students with the opportunity to practice and apply the concepts they were learning.
• Updating the course slides, ensuring that they were accurate and up-to-date with the latest information and industry developments.
• Regulating technical tasks such as setting up equipment, troubleshooting technical issues and making sure that the course runs smoothly.

Software Development:

• Completed the software tasks requested by the customers within the given time.
• Automated and optimized the data handling process for traffic signs, working with Ubuntu 20.04, did shell scripting, and employed other Linux tools.
• Technical Skills: Python with PyTorch, NumPy, Matplotlib, Pandas, Scikit‑learn, Tableau, Ubuntu Linux, Linux tools, Apt, Scripting, Git.
• Automated and optimized the data handling process for traffic signs, working with Ubuntu 20.04, did shell scripting, and employed other Linux tools.