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Muratcan Çiçek began his Ph.D. at the University of California, Santa Cruz, focusing on personalized cursor control through head tracking. Supported by the Google Ph.D. Fellowship with $200,000 funding in 2020, the project uses camera-based tracking to enable intuitive interaction, particularly for users with limited hand mobility. Extensive user image data improved deep learning models and system accuracy. Over seven years, the research produced notable academic contributions, with results published at top conferences in AI, computer vision, and human-computer interaction, highlighting its impact on accessibility technology.

The project, developed in collaboration with eBay at their Silicon Valley headquarters, aimed to transform the shopping experience by enabling head gesture navigation on iOS devices. It utilized the iPhone X’s depth camera and Apple’s ARKit, marking eBay Computer Vision team’s first use of these technologies. An extra camera was added for precise image data collection. The project received global media attention and was a finalist in Fast Company’s World-Changing Ideas 2019, highlighting its innovative approach and potential to advance accessible, tech-driven shopping experiences.

The project, developed in collaboration with Google, aimed to enable cursor control on Android devices using Flutter and computer vision. It was part of a broader social innovation effort to demonstrate Flutter’s potential in handling image processing tasks and increasing awareness in the developer community. An additional camera was used to collect user image data, enhancing accuracy and interaction. The project was published at a top accessibility conference and has since been cited 19 times, highlighting its growing impact in accessible technology development and research.

The project, developed in collaboration with Google AI, centered on building a sophisticated algorithm designed to detect sentences spoken with speech disorders. By leveraging advanced machine learning techniques and large-scale datasets, the system was trained to recognize nuanced patterns in speech that are often difficult for traditional models to identify. This innovation holds significant promise for early diagnosis and intervention, potentially transforming the way clinicians and researchers understand, monitor, and treat various speech impairments across different age groups and linguistic backgrounds.

The project, developed in collaboration with Amazon Web Services (AWS) in Germany, focused on adding a new function to the billing system’s error debugging structure. This system processes approximately $3 billion worth of invoices each month, making accuracy and efficiency critical. A new function was designed and implemented from the ground up to improve error detection and debugging, ensuring smoother operations within this large-scale infrastructure. The successful integration of this feature has significantly enhanced the system's reliability and error resolution capabilities.

Muratcan Çiçek began his Ph.D. at the University of California, Santa Cruz, focusing on personalized cursor control through head tracking. Supported by the Google Ph.D. Fellowship with $200,000 funding in 2020, the project uses camera-based tracking to enable intuitive interaction, particularly for users with limited hand mobility. Extensive user image data improved deep learning models and system accuracy. Over seven years, the research produced notable academic contributions, with results published at top conferences in AI, computer vision, and human-computer interaction, highlighting its impact on accessibility technology.

The project, developed in collaboration with eBay at their Silicon Valley headquarters, aimed to transform the shopping experience by enabling head gesture navigation on iOS devices. It utilized the iPhone X’s depth camera and Apple’s ARKit, marking eBay Computer Vision team’s first use of these technologies. An extra camera was added for precise image data collection. The project received global media attention and was a finalist in Fast Company’s World-Changing Ideas 2019, highlighting its innovative approach and potential to advance accessible, tech-driven shopping experiences.

The project, developed in collaboration with Google, aimed to enable cursor control on Android devices using Flutter and computer vision. It was part of a broader social innovation effort to demonstrate Flutter’s potential in handling image processing tasks and increasing awareness in the developer community. An additional camera was used to collect user image data, enhancing accuracy and interaction. The project was published at a top accessibility conference and has since been cited 19 times, highlighting its growing impact in accessible technology development and research.

The project, developed in collaboration with Google AI, centered on building a sophisticated algorithm designed to detect sentences spoken with speech disorders. By leveraging advanced machine learning techniques and large-scale datasets, the system was trained to recognize nuanced patterns in speech that are often difficult for traditional models to identify. This innovation holds significant promise for early diagnosis and intervention, potentially transforming the way clinicians and researchers understand, monitor, and treat various speech impairments across different age groups and linguistic backgrounds.

The project, developed in collaboration with Amazon Web Services (AWS) in Germany, focused on adding a new function to the billing system’s error debugging structure. This system processes approximately $3 billion worth of invoices each month, making accuracy and efficiency critical. A new function was designed and implemented from the ground up to improve error detection and debugging, ensuring smoother operations within this large-scale infrastructure. The successful integration of this feature has significantly enhanced the system's reliability and error resolution capabilities.