Dr. Chen-Ping Yu is the co-founder and CEO of Phiar, with over 10 years of cutting-edge research and innovations in computer vision, machine learning, and AI. He was previously a postdoctoral research fellow at Harvard University researching neuro-inspired deep learning. Prior to that and armed with an MS/PhD in Computer Science, he focused his research on computer vision, machine learning, and brain-inspired vision models. He is the recipient of numerous honors and fellowships, including from the National Science Foundation. His AI research has appeared in top-tier venues in computer vision, machine learning, deep learning, cognitive science, and neuroscience that includes ICCV, ECCV, NeurIPS (formerly NIPS), and PNAS.

Nasser is the VP of Strategy and Business Development at Phiar, and is responsible for all strategic partnerships, customer acquisition and monetization activities. Nasser has 20+ years of global business development experience in mobility and automotive, large-scale location services, and IoT industries, spanning both B2B and B2C domains. Prior to Phiar, Nasser held several executive business development roles at HERE Technologies, Nokia, and Sun Microsystems. He has a solid track record in establishing strategic and multi-pronged partnerships encompassing product development, go-to-market, distribution and innovation collaboration. In his free time, Nasser is an avid hiker and a skier.

Jim is the VP of Engineering & Technology at Phiar. He has hands-on experience with 3D geometry, image processing, localization, Augmented Reality, 2D and 3D maps. Prior to joining Phiar, he was an Advanced Algorithm Engineer at Apple Maps, in the 3D Vision team, where he worked on multiple large-scale projects from prototyping to production support. With a background in Electrical Engineering, Jim owns a Ph.D. in Computer Vision for Augmented Reality with a focus on semi-transparent screens. His work led to publications in renowned international conferences such as ICCV, BMVC and 3DV.

Grace has over 10 years of experience on robotics, AR, 3D reconstruction, localization and mapping. Prior to joining Phiar, she worked on AR headsets at Magic Leap and AR cloud at Niantic. She was also part of the founding team of PerceptIn, a startup focusing on Visual-SLAM for robotic applications. Grace obtained her Ph.D. from the University of Michigan, Ann Arbor, with a focus on computer vision for indoor robot navigation. She actively publishes research papers in top computer vision and robotics conferences such as CVPR, ICCV, ICRA, and ICRA.

Utilizing his experience from his last entrepreneurial venture, James co-founded Phiar with Chen-Ping after learning about and seeing the excitement surrounding the technology that would be utilized at Phiar. He performs whatever technical work needs to be done in order to advance Phiar’s goal of effortless Augmented Reality navigation, all with a smile. His previous work includes experience in delivering software for hedge funds, then to reverse-engineering and modernizing insurance software. His last venture was in directing software at a successful e-commerce operation sporting state-of-the-art ordering and pricing logistics. When not behind the keyboard, he’s off travelling the world or studying Japanese.

Victor is an experienced digital designer with a deep affinity for storytelling. He specializes in experience and visual design and has worked for Microsoft and on projects with the NFL, Minecraft, Xbox, Seeing AI, Bonnaroo, and the British Premier League for, web, mobile, tablet, desktop and console space. More recently, Victor has been pushing the boundaries of design with emerging technologies like virtual reality, augmented reality, and mixed reality for HTC VIVE, Oculus Rift, Windows Mixed Reality, and HoloLens.

Yash is a Senior Software Engineer at Phiar who works on the Front-End and Navigation portion of the application. He graduated from the University of California, Riverside with a Mathematics degree with an emphasis in Linear Algebra and Probability Theory. Working as an engineer for the last 5 years, he’s worked with multiple platforms and programming languages, but developing mobile applications has always been his favorite. In his spare time, he loves to learn about Deep Learning and GPU programming, and when he’s away from the computer you can find him either playing basketball, globetrotting, at concerts or just relaxing at home with his cats and dogs.

Beryl is a Deep Learning Engineer at Phiar who works on the design and development of computer vision models. She has a Master’s degree in Electrical Engineering from University of California, Los Angeles with a focus on machine learning and signal processing. Prior to Phiar, she was a Software Engineer at ASML and primarily focused on building and optimizing deep learning and machine learning models for Automatic Defect Image Classification. While she is passionate about deep learning and computer vision, she enjoys singing, any music-related activities and travelling in her free time.

Lan is a software engineer at Phiar with interests in image processing, computer vision and deep learning. He graduated from Virginia Tech with a degree in Electrical Engineering and a minor in Biomedical Engineering with a focus in signal and image processing. Prior to Phiar, he worked with a startup in Vietnam to develop an image processing algorithm to determine the blood glucose level from glucose test strips. He is now responsible for the testing and deployment of computer vision algorithms on the app as well as assisting in developing and maintaining the app’s software infrastructure.

Roxy Stephens is an Administrative Assistant who works with the Phiar team to facilitate office operations, as well as human resources, accounting, and travel planning. Roxy received a Bachelor of Science in Entertainment Business at The Los Angeles Film School and is a member of the National Honor Society of the Entertainment Arts. Roxy is married to her best friend, Adam, and they love catching up on their favorite TV shows, thrifting, and long walks in the Bay Area fog.