Lingjie Liu
Computer and Information Science (CIS)
University of Pennsylvania
About Professor Lingjie Liu
Lingjie Liu is an esteemed Aravind K. Joshi Assistant Professor within the highly regarded Department of Computer and Information Science (CIS) at the University of Pennsylvania. This department is a recognized leader in computer science research, known for fostering a vibrant academic environment and driving innovation across numerous domains. Penn CIS excels in areas such as artificial intelligence, machine learning, and computational science, providing a fertile ground for groundbreaking work. Professor Liu's position within this esteemed institution underscores the department's commitment to cutting-edge research in computer graphics and computer vision, attracting top-tier faculty and ambitious graduate students.
🧬Research Focus
Professor Liu's research is at the forefront of merging computer graphics, computer vision, and artificial intelligence, with a strong emphasis on neural rendering and neural scene representations. Her work significantly advances the fields of 3D reconstruction and 4D reconstruction, exploring novel algorithms that integrate deep learning with traditional graphics techniques. This interdisciplinary approach aims to create more realistic, controllable, and efficient 3D and 4D models of complex environments and human performance. Key research areas include generative models for 3D scenes and AI-driven solutions for perceiving and understanding three-dimensional worlds, with potential applications in immersive technologies and advanced simulation.
🎓Student Fit & Career
Graduate students with a strong foundation in computer science, particularly in computer graphics, computer vision, and machine learning, will find Professor Liu's lab an ideal environment for their doctoral studies. Ideal candidates possess a passion for pushing the boundaries of 3D understanding and generation, alongside strong analytical and problem-solving skills. Students seeking rigorous academic mentorship and opportunities for impactful graduate research in areas like neural rendering, 3D reconstruction, and AI for immersive environments will benefit immensely from her guidance. Graduates from this program are well-positioned for diverse career paths in both academia and leading technology industries focused on virtual reality, robotics, and advanced media creation.
Research Areas
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