Projects per year
Personal profile
Personal profile
I got my PhD degree from the School of Electronics and Engineering, Xi'dian University, on June 2012.
Research interests
My research interests are the Deep Neural Network (DNN) theory and signal processing theory and their applications on radar, sonar, and communications, and applying these theories in other applications such as anomaly detection in different events.
Experience
- From March 2008 to June 2012, I worked on array signal processing as my PhD thesis topic in the School of Electronic and Engineering, Xi’dian University, aiming to develop robust direction of arrival (DOA) estimation methods in the presence of array imperfections such as array gain-phase errors and position errors. I creatively proposed several new methods and was awarded an excellent doctor degree dissertation in Xi’dian University.
- After PhD graduation, from Feb. 2013 to Jun. 2017, I worked as a Research Fellow in the School of Electrical and Electronic Engineering, Nanyang Technological University. I was engaged in two projects relevant to two-dimensional target detection by radar and radar co-existence with digital terrestrial.
- From Aug. 2017 to Dec. 2021, I worked as an associate professor in the College of Underwater Acoustic Engineering, Harbin Engineering University. My research focus was on developing robust and accurate target detection methods for underwater vector sensor arrays.
- From Jan. 2021 to Jan.2025, after I joined the School of Software at Northwestern Polytechnical University, I expanded my research from traditional signal processing theory to deep neural networks (DNN). My team proposed several DNN models by integrating the knowledge of array signal processing into the DNN models.
- From Feb. 2025 to present, I have worked as an associate professor at the School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University. I continue my research on signal processing and AI technology.
- My team established two testbeds for radar detection and verification of array signal processing algorithms.
- I was Principal Investigator for several projects, including 1 project of the National Natural Science Foundation of China, 1 project of the Natural Science Basic Research Program of Shaanxi Province, 1 project of the Basic Research Program of Taicang City, and 1 project of the Aeronautical Science Foundation of China.
Teaching
- DTS002TC-2425-S2-Essentials of Big Data, Lecturer for the Python part.
- 2025 Summer, AI training course: Python Programming for AI, Course leader.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD, Angle estimation and array calibration in array signal processing, Xidian University
28 Feb 2008 → 6 Jun 2012
Award Date: 6 Jun 2012
Research areas
- Array signal processing
- Adaptive signal processing
- Deep Learning
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Deep learning-based DOA estimation in array signal processing
Liu, A. (PI)
1/01/26 → 31/12/28
Project: Internal Research Project
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DIG: Improved DINO for Graffiti Detection
Wang, B., Mao, Q., Liu, A., Chen, L. & Chen, C. L. P., May 2025, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 55, 5, p. 3557-3569 13 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Extended regression-based deep neural network with multi-task learning for fast source detection by sensor array
Liu, A., Li, Z., Zhou, Y., Chong, D. & Zeng, C., Jun 2025, In: AEU - International Journal of Electronics and Communications. 200, 155915.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Hybrid Multi-Class Token Vision Transformer Convolutional Network for DOA Estimation
Xie, Y., Liu, A., Lu, X. & Chong, D., May 2025, In: IEEE Signal Processing Letters. 32, p. 2279-2283 5 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
LG-CNN: CNN Framework with Determinate Number of Convolutional Layers for DOA Estimation by Sensor Array
Chong, D., Liu, A., Guo, J. & Xie, Y., Jun 2025, In: IEEE Sensors Journal.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Simultaneous Source Number Detection and DOA Estimation Using Deep Neural Network and K2-Means Clustering with Prior Knowledge
Liu, A., Zhou, Y., Li, Z., Xie, Y., Zeng, C. & Liu, Z., Feb 2025, In: Electronics (Switzerland). 14, 4, 713.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)
Activities
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Serve as Chair of one online session of 2025 IEEE 10th International Conference on Signal and Image Processing
Liu, A. (Participant)
14 Jul 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Deep Learning-Enhanced MUSIC: An FCDNN-MUSIC Fusion Approach for DOA Estimation in the Presence of Array Phase Errors
Liu, A. (Speaker)
13 Jul 2025Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Serve as an Technical committee (TC) in 2025 IEEE 10th International Conference on Signal and Image Processing (ICSIP)
Liu, A. (Participant)
12 Jul 2025 → 14 Jul 2025Activity: Participating in or organising an event › Participating in an event e.g. a conference, workshop, …
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Target detection based on millimeter wave radar
Liu, A. (Supervisor)
9 Jun 2025 → 31 Jul 2025Activity: Supervision › Completed SURF Project
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