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start [2025/02/04 09:25] lingjialiu |
start [2025/02/07 10:52] (current) lingjialiu [Lingjia Liu, Ph.D.] |
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| [[https://www.vt.edu/innovationcampus/about/faculty/liu-lingjia.html|Founding Faculty]], [[https://www.vt.edu/innovationcampus/index.html|Innovation Campus]]\\ | [[https://www.vt.edu/innovationcampus/about/faculty/liu-lingjia.html|Founding Faculty]], [[https://www.vt.edu/innovationcampus/index.html|Innovation Campus]]\\ | ||
| [[https://vt.edu/|Virginia Tech]], USA\\ | [[https://vt.edu/|Virginia Tech]], USA\\ | ||
| + | \\ | ||
| \\ | \\ | ||
| 3418 Virginia Tech Innovation Campus\\ | 3418 Virginia Tech Innovation Campus\\ | ||
| - | 900 N Glebe Rd, Arlington, VA, USA\\ | + | 3625 Potomac Ave, Alexandria, VA 22305\\ |
| Phone: (540) 231-7243\\ | Phone: (540) 231-7243\\ | ||
| Email: ljliu AT vt dot edu\\ | Email: ljliu AT vt dot edu\\ | ||
| Line 23: | Line 24: | ||
| ===== Research Interests: ===== | ===== Research Interests: ===== | ||
| - | * Machine learning for Engineering | + | * Efficient Machine learning for Engineering |
| + | * Explainability of deep neural networks | ||
| + | * Incorporating domain knowledge in learning strategy design | ||
| * Real-time & online machine learning with limited training | * Real-time & online machine learning with limited training | ||
| * Energy-efficient spiking neural network for Internet of Things (IoTs) | * Energy-efficient spiking neural network for Internet of Things (IoTs) | ||
| - | * Incorporating domain knowledge in learning strategy design | ||
| - | * Generative AI for accelerating deep reinforcement learning | ||
| * Signal Process., Commun. & Netw. for FutureG | * Signal Process., Commun. & Netw. for FutureG | ||
| * 3D massive FD-MIMO user scheduling and resource allocation | * 3D massive FD-MIMO user scheduling and resource allocation | ||
| Line 41: | Line 42: | ||
| ===== Biography: ===== | ===== Biography: ===== | ||
| ### | ### | ||
| - | Lingjia Liu is a Professor and Bradley Senior Faculty in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and a founding faculty in the Innovation Campus of Virginia Tech in the DC metro area. Currently, he is also serving as the Co-Director of Wireless@Virginia Tech. He works in general area of wireless communication systems and networks, communication theory, signal processing and information theory with a focus on identifying efficient machine learning tools for future generation (FutureG) wireless networks. | + | Lingjia Liu is a Professor and Bradley Senior Faculty in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and the Co-Director of Wireless@Virginia Tech. He works in the general area of wireless communication systems and networks, communication theory, signal processing and information theory with a focus on identifying efficient machine learning tools for future generation (FutureG) wireless networks.\\ |
| - | + | \\ | |
| - | Lingjia Liu received the B.S. degree with the highest honor in the Electronic Engineering Department at Shanghai Jiao Tong University and the PhD degree in the Electrical and Computer Engineering Department at Texas A&M University. Prior to joining the academia, he spent more than 3 years in Samsung Research America as a technical leader and a leading **3GPP RAN1** standard delegate on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets). | + | Lingjia Liu received the B.S. degree with the highest honor in the Electronic Engineering Department at Shanghai Jiao Tong University and the PhD degree in the Electrical and Computer Engineering Department at Texas A&M University. Prior to joining the academia, he spent more than 3 years in Samsung Research America as a technical leader and a leading **3GPP RAN1** standard delegate on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets).\\ |
| - | + | \\ | |
| Lingjia Liu is an //IEEE// Fellow for his work on multi-cell multi-user MIMO and intelligent spectrum access. He is an //IEEE// Distinguished Lecturer with 200+ publications including 3 book chapters, 100+ journal publications, 6 editorials, and 100+ conference papers. He has 20+ granted U.S. patents many of which are regarded as **essential intellectual property rights (IPRs)** in major 4G standards. His research received many recognitions including **8 Best Paper Awards**. Currently, he is an Elected Member (representing academia) on the Executive Committee of the National Spectrum Consortium.\\ | Lingjia Liu is an //IEEE// Fellow for his work on multi-cell multi-user MIMO and intelligent spectrum access. He is an //IEEE// Distinguished Lecturer with 200+ publications including 3 book chapters, 100+ journal publications, 6 editorials, and 100+ conference papers. He has 20+ granted U.S. patents many of which are regarded as **essential intellectual property rights (IPRs)** in major 4G standards. His research received many recognitions including **8 Best Paper Awards**. Currently, he is an Elected Member (representing academia) on the Executive Committee of the National Spectrum Consortium.\\ | ||
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| ===== What's New: ===== | ===== What's New: ===== | ||
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| More news can be found [[News|HERE]]. | More news can be found [[News|HERE]]. | ||
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| - | ===== Current Sponsors: ===== | ||
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start.1738679118.txt.gz · Last modified: 2025/02/04 09:25 by lingjialiu
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