Sheyang Tang is a PhD candidate in ECE at the University of Waterloo and a research scientist focused on perceptual quality assessment, 3D computer vision, and generative models. With nine years of research and engineering experience spanning MAV state estimation, no-reference video quality assessment, and lightweight real-time super-resolution for streaming, he bridges theoretical advances and practical deployment. At Waterloo’s Image and Vision Computing Lab and through internships at IMAX and SSIMWAVE, he has built evaluation tools, interactive 3D visualizers, and MLLM-based frameworks to align automated metrics with human perception. His work emphasizes implicit neural representations and neural architecture search for perceptual tasks, and he regularly teaches image and signal processing courses. Based in Waterloo, Ontario, he combines deep academic publication experience with hands-on system design—often tackling subtle perceptual artifacts that traditional metrics miss.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electronic and Information Engineering, Bachelor of Engineering - BE, Electronic and Information Engineering at Huazhong University of Science and Technology
Doctor of Philosophy - PhD, ECE, Doctor of Philosophy - PhD, ECE at University of Waterloo
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