I am a Master's student at Istanbul Bilgi University, specializing in Artificial Intelligence. My academic and research interests lie at the intersection of cutting-edge technology and healthcare, with a particular focus on Computer Vision for periodontal applications, Brain-Computer Interfaces (BCIs), and Deep Learning models for time-series analysis.In the realm of Computer Vision, I am passionate about developing innovative solutions to improve periodontal disease detection and treatment. My work aims to enhance diagnostic accuracy and patient outcomes through advanced image processing and analysis techniques. Currently working on deploying models such as YOLO and Faster R-CNN for multi-class classification and localization of Periodontal diseases. My interest in Brain-Computer Interfaces (BCI) drives my exploration of seamless communication pathways between the human brain and external devices. I am dedicated to contributing to advancements in neurotechnology for understanding key temporal and spatial regions of the brains responsible for task such as drowsiness. This include deploying Time-series DL models for EEG classification.I am also deeply involved in the development of Deep Learning models for time-series applications. This includes working on predictive analytics, anomaly detection, and signal processing across various domains, leveraging large datasets to uncover hidden patterns and insights.With a strong foundation in artificial intelligence and a commitment to interdisciplinary research, I am eager to collaborate with professionals and organizations that share my vision of harnessing technology to solve real-world problems. Let's connect and explore opportunities to innovate together!