You are cordially invited to the EEE Graduation Project Poster Presentations.

Place: Electrical and Electronics Engineering Department
Date: Jan. 23, 2026

The project titles are as follows:

23.01.2026 – 10:00–12:00 Session

• Süleyman Uğur Bursalı – Performance Analysis of Integrated Sensing and Communication (ISAC)
• Ali Kazılcı, Boran Zeylan – Autonomous Robot Navigation with Reliable Positioning (UWB) and Smart Perception (2.5D-ToF) Fusion
• Barış Topuz – Identifying Climatic Zones using Graph Clustering
• Mehmet Göktuğ Aslan – Image Visibility Graphs and Robust Extensions
• Ege Aslan – High Gain Antenna Design for a Doppler Radar
• Cem Altın – Dual Band Antenna Design for a Doppler Radar
• Barış Taylan – Radar Based Buried Object Detection
• Selim İşcan – Design of a Cost-Effective Circularly Polarized Patch Antenna for Mobile Devices
• Neslihan Gültekin, Aslı Nur Aksakal, Buse Aşkın – An AI-Enhanced Diagnostic Tool for the Stroke Teams
• Süleyman Furkan Uslu, İsmail Sakci, Eyüp Yusuf Gülüm – Heartbeat: AI-Driven Portable Cardiac Emergency Detection and Response System
• Ömer Ünal – Correction of Sensor Delays Using PID Control
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23.01.2026 – 14:00–16:00 Session

• Gökçe Naz Salduz, Onur Gönen – Ultrasonic ISAC
• Harun Yusuf Acaroğlu, Ayşe Berna Alca, İlhan Taşkın – Cell-Free Massive MIMO Performance Analysis
• Düzgün Ali Varlı, Emir Han Ceylan – SNMP-Based Predictive Maintenance Simulation with Current, Vibration, and Temperature Monitoring
• Kerem Aslan – Object Clustering Using Graphs
• Orçun Kabay – Dual-Port Antenna and IF Stage PCB Design for a Portable Doppler Radar System
• Esin Eltimur, Yankı Hepsağ – Traffic Sign Recognition on STM32 Board
• Barış Erdem – CNN-Based Symbol Timing Synchronization Simulation
• Alp Buğra Arıduman, Çağla Heybeli – ISAC-Based Infrared (IR) Optical Positioning and Data Transmission System
• Batuhan Abalı – Physical-layer Anomaly Detection for Drone Spoofing Scenario
• Semih Aytek Atçı – Adaptive Filtering Based Non-Stationary Noise Reduction for Speech Signals
• Göktuğ Üner – Supervised Deep Learning-Based Power Allocation Optimization in ISAC Systems