Dr. Qian Lin, Distinguished Technologist and director of computer vision and deep learning research in HP’s Artificial Intelligence and Emerging Compute Lab has been named an HP Fellow. HP Fellows are recognized as pioneers who “set the standards for technical excellence and drive the direction of technology in their respective disciplines.”
Lin’s areas of expertise include artificial intelligence (AI), computer vision, and deep learning, with applications in machine learning solutions, print workflow and image quality, and 3D printing. She has led multiple technology transfers from HP Labs to key HP businesses. Most recently, she led the development of HP Pixel Intelligence, an analytics engine for understanding visual information.
“It’s a great honor to receive this recognition and take on the responsibility that comes with it to help HP find new ways to grow its business,” says Lin. “I’ve been pursuing new opportunities in AI and deep learning over the last few years and I think the award in part reflects the fact that someone with my experience and vision for this research area is well positioned to help move HP’s business forward.”
Over nearly three decades at HP, Lin has contributed a number of key technologies now found in HP products. She invented HP’s adaptive halftoning technology, which enabled high image quality outputs for HP’s Enterprise and Professional LaserJet and Multifunction printers, played a central role in advancing HP’s digital camera imaging pipeline, and co-invented new capture capabilities with panorama stitching and automatic redeye correction, which were an industry first when the host HP camera product was launched.
Her current research interests focus on the intersection of AI and computer vision, including intelligent assistants for imaging services, vision systems for print quality and 3D part identification, machine learning solutions, and edge computing.
Throughout her tenure at HP, Lin has mentored engineers and students in imaging and computer vision both within HP and at partner research organizations. She is also an adjunct full professor of Electrical and Computer Engineering at Purdue University, where she oversees graduate student work both in her lab and remotely with students in Indiana.