Bilkent EEE Fair 2026
Showcasing Innovation: Where Theory Meets Practice in Electrical and Electronics Engineering.
Date: [Date of Event], [Year]
Time: [Start Time] - [End Time]/span>
Location: [Event Location, e.g., EEE Building Foyer]
About the Fair
A Tradition of Excellence
The Bilkent University Electrical and Electronics Engineering Project Fair (EEE Fair) is an annual cornerstone event celebrating the culmination of our students' hard work and ingenuity. It provides a platform for senior students (EEE493/EEE494) and potentially others to present their capstone design projects to faculty, peers, industry representatives, and the wider community.
Discover innovative solutions, witness practical applications of complex theories, and engage with the next generation of engineers. The fair fosters connections between academia and industry, highlighting the cutting-edge research and development happening within our department.
Fair Highlights
Meet the Team
[Coordinator Name]
Course Coordinator
[Head TA Name]
Head Teaching Assistant
[Second Head TA Name]
Second Head Teaching Assistant
Teaching Assistants
[TA Name 1]
[TA Name 2]
[TA Name 3]
[TA Name 4]
[TA Name 5]
[TA Name 6]
Featured Projects [Year]
LEO-DPC
Bora Demir, Berk Gürbüz Erdoğan, Duru Gül, Sarp Derin Günay, Can Ilgar Kurnaz, Berke Yaman Sungur
Global Navigation Satellite Systems (GNSS) are vulnerable to jamming and spoofing attacks. LEO-DPC emulates LEO-PNT satellite signals using Software Defined Radios and corrects Doppler-induced position errors, achieving sub-meter positioning accuracy in GNSS-denied environments.
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LARA
Arman Can Dündar, Uygar Küçük, Efe Örnek, Baha Efe Şentürk, Zeynep Torun
LARA (Learning Audio Recording Arts) is an intelligent, interactive e-learning platform for music production and audio engineering, combining a RAG chatbot, real-time feedback system, and audio processing pipeline, achieving over 90% chatbot accuracy and under 5ms signal processing latency.
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KALEIDOSCOPE
Emin Mete Anbar, Melis Hoşcan, Robin Umut Kızıl, Kutay Ünal, Zeynep Berra Yıldırım
KALEIDOSCOPE is an automated color analysis and quality control system converting RGB images to the CIELAB color space for perceptually accurate measurements in food manufacturing, using CNN-based colorimetric calibration to achieve Delta-E errors within industrial tolerances.
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VØBEST
Bilge Kaan Ateş, Ahmet Tuğrul Bayrak, Nihat Güneş, Ekrem Göktüğ Öz, Alp Sezer, Göktürk Ünlü
VØBEST is an image-processing-supported robot mapping system developed for ATP-Tech's autonomous service robot PuduBot. The system fuses LiDAR, IMU and odometry data in a ROS 2 framework, integrating a YOLOv8 object detector optimized via Teacher-Student knowledge distillation and an OCR layer with dictionary-based fuzzy matching. The result is a semantically enriched real-time map in .pgm/.yaml format, achieving 20–40 FPS inference and 91.5% mAP@50 on a Jetson Orin Nano—enabling intelligent autonomous navigation in dynamic indoor environments.
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AUTODRONENAV
Taşkın Haktanıyan, Yiğit Türkmen, Berkay Yalman, Ahmet Faruk Çetinkaya, Ali Hakim Taşkıran, Cem Alabaş
AUTODRONENAV proposes an LLM-guided planning pipeline for DJI Mini 3 Pro drones and ground vehicles, using Planner and Executor LLM agents with Gemini and GPT-4o models to convert high-level instructions into structured mission plans, with 90% of test queries successfully planned.
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IMPACT
Jan Duman, Orkun İbrahim Kök, Kemal Anıl Sarıtaş
IMPACT is a machine learning–based predictive maintenance fault classification system developed for ROKETSAN, monitoring industrial machinery sensor data and classifying faults such as bearing failures, imbalance, and misalignment with over 95% accuracy using SVM, Random Forest, and Gradient Boosting models.
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SmartHub
Kadir Hakan Akbay, Cemal Burak Ayhan, Arda Bayam, Eylül Naz Berçin, Baran Çataloğlu, Özgür Ekin Sönmez
SmartHub is a sensor, automation, and AI-supported data management platform for KAREL's electronics manufacturing lines, integrating AOI, SPI, and ICT inspection data with anomaly detection algorithms to enable Industry 4.0+ real-time production monitoring and traceability.
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FlyHi
Zeynep Naz Bayındır, Nehir Demirli, Onur Kaban, Emre Toksoy, Atalay Üstündağ, Dağhan Yılmaz
FlyHi is an autonomous quadrotor system that detects and tracks moving objects in GPS-denied environments using computer vision. Developed for EHSİM, it integrates YOLO-based object detection with optical flow and visual odometry, maintaining robust target tracking without GPS signals.
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MULTIBANDID
Efe Aydın, Ege Aksoy, Berkin Mert Coşan, Kerem Gülleroğlu, Arda Kara, Ahmet Özkapıcı
MULTIBANDID integrates RGB, UV, and LWIR imaging with independent YOLO deep learning models for each band and a decision-level spatial fusion pipeline, providing reliable multi-band drone localization and classification to counter unmanned aerial system threats.
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RAIS
Umut Cansu, Ege Doğanay, Yunus Emre Ekiz, Arda Özdemir, Özgür Soysal, İris Yazıcı
RAIS identifies different radar submodes (constant RF, LFM chirps, BPSK) using AI-based techniques deployed on an AMD Artix-7 FPGA, achieving 100% CNN accuracy and 99.5% MLP accuracy with 120 µs inference latency, meeting EHSIM's ESM system integration requirements.
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DTFT
Tuna Şahin, Sıla Bulduk, Çağan Herek, Özgü Melek Özyörük, Mısra Simge Uysal, Çınar Kanbur
DTFT presents a real-time RF-based drone detection and classification system for METEKSAN, combining FFT-based detection with STFT spectrogram classification using a ResNet18 network, achieving over 99% classification accuracy and detection in under 0.3 seconds.
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NavSync
Ahmad Awais Awan, Berfin Lara Bilgen, Emre Kurt, Yiğit Kağan Öztürk, Gökay Solak, Emre Şaş
NavSync develops a low-cost, modular GNSS software-defined receiver using an ADALM-Pluto SDR with GNU Radio and GNSS-SDR, acquiring at least six satellites within 20 seconds and achieving horizontal positioning errors below 20 meters in open-sky conditions.
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DABCONV
Furkan Büyüksarıkulak, Fatih Mehmet Çetin, Arhan İlhan, Rüveyda Deniz Kablan, Ayberk Koçak, Aleyna Yaren Öztürken
DABCONV implements an isolated bidirectional DC-DC converter using a Dual Active Bridge topology for METEKSAN Savunma, stepping down 300V DC to 48V DC with Zero-Voltage Switching, achieving bidirectional power transfer up to 500W with over 90% efficiency.
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VLF Gang
Yunus Kesmen, Murat Kök, Zeynep Nalçakan, Berkay Özer, Emir Taha Yiğit
VLF Gang develops a low-frequency (400–600 Hz) transmitting coil antenna system for SAVRONIK, featuring programmable frequency switching with solid-state relays to reduce noise and voltage spikes, capable of transmitting pure sinusoidal signals detectable at 3 meters.
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DC⚡DC
Emre Akçın, Ezgi Demir, Yusuf Korkmaz, Mehmet Yağız Özarslan, Zeynep Söyünmez, Burak Umay
DC-LIGHTNING-DC designs a high-efficiency Coupled Inductor Switched Capacitor DC-DC converter for BEKO, stepping up 12–24 VDC to 310 VDC at 250W for caravan refrigerator compressors, targeting 95% efficiency with stable output regulation and effective thermal management.
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Beko Airtouch
Mustafa Alper Atasoy, Mustafa Sungur Doğan, Burcu Köprülü, Kaan Parer, Batıkan Aybey Ulu, Muhammet Talat Yavuz
Beko Airtouch is a contactless dishwasher control interface enabling menu navigation and program selection via hand gestures, comparing Infrared, ToF, and mmWave radar sensing on an STM32 microcontroller, with under 50ms latency and a 35cm distance gating mechanism.
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SR-SAR
Ömer Faruk Akbay, Atahan Karabey, Arda Karaman, Yunus Emre Koçak, Mohammadhassan Mahmodi, Mehmet Paşa
SR-SAR enhances MILSAR image interpretability through a software-based deep learning super-resolution pipeline using the Swin2-MoSE architecture, producing 2× and 4× super-resolved SAR outputs with adaptive blending between edge-preserving and speckle-suppression models.
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SMARTCOOL
Emir Arda Bayer, Mehmet Efe Çaycı, Pınar Eliş, Kaan Ermertcan, Eren Polat, Kaan Ata Uğur
SmartCool is an edge-ready intelligent refrigeration system integrating mmWave radar, load cells, and IMU to classify user interactions and detect weight events locally, achieving 93.9% interaction classification and 95.0% weight event detection accuracy for proactive energy-efficient cooling.
Learn More →Event Schedule
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[13:00]
Fair Opening & Welcome Remarks
[Location: e.g., Main Foyer]
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[13:00 - 14:30]
Project Presentations & Demonstrations (Session 1)
[Location: Project Booths]
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[15:30 - 16:00]
Lunch Break & Networking
[Location: Designated Area]
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[16:00 - 16:30]
Project Presentations & Demonstrations (Session 2) / Judging
[Location: Project Booths]
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[16:30]
Award Ceremony & Closing Remarks
[Location: e.g., EEE Auditorium]
Our Sponsors
We gratefully acknowledge the generous support of our sponsors who make this event possible and contribute to the success of our students.
Past Projects
Explore the archives of previous EEE Fairs and discover the innovative projects showcased in past years.
Get In Touch & Find Us
Contact Information
For inquiries about the EEE Fair, please contact:
- ilyas.caliskan@bilkent.edu.tr
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Bilkent University, Electrical and Electronics Engineering Dept.
Universiteler Mahallesi, 06800 Çankaya/Ankara, Turkey
Event Location: [Specific Building/Foyer]