54 / 100

Assoc Prof Dr. Weihua jiang | Communication and Networks | Young Scientist Award


πŸ‘¨β€πŸ« 🌾 Weihua Jiang, an Associate Professor at Sun Yat-sen University, is a prominent researcher in the field of underwater acoustic signal processing and communication. With a Ph.D. in Marine Physics from Xiamen University and a joint Ph.D. stint at the University of Washington, Dr. Jiang possesses a rich academic background.

His research has garnered recognition, evident in awards such as the Best Ph.D. Thesis Award in Fujian Province (2022) and Outstanding Reviewer of the Journal of Electronics & Information Technology (2021). Jiang’s work spans various aspects, from developing neural network models for underwater acoustic communication to designing channel sensing wireless acoustic sensor networks for marine environmental monitoring.

As a prolific contributor to academic journals and a member of editorial boards, Jiang demonstrates expertise in exploiting sparsity for effective underwater communication. His commitment to excellence is underscored by prestigious scholarships, including the China Scholarship Council (CSC) scholarship.

Researcher Interests 🌊

Underwater Acoustic Signal Processing, Underwater Acoustic Communication, Channel Estimation Algorithm

Education πŸ“š

2023-Now: Sun Yat-sen University, China, Associate Professor in School of Ocean Engineering and Technology. 2021-2022: University of Haifa, Haifa, Israel, Postdoc fellow in Marine Technologies. 2016-2020: Xiamen University, Xiamen, China, Ph.D. in Marine Physics. 2018-2020: University of Washington, Seattle, USA, joint Ph.D. student in Electrical and Computer Engineering. 2013-2016: Xiamen University, Xiamen, China, Master in Marine Physics. 2009-2013: Huaqiao University, Quanzhou, China, Bachelor in Information and Computing Science.

Academic Service πŸŽ“

Youth Editorial Board Member: AI and Autonomous Systems journal, Chinese journal of Engineering, Telecommunication Engineering. Guest Editor: Journal of Marine Science and Engineering. Reviewer: Signal Processing, Journal of Computational and Applied Mathematics, Cybernetics and Systems, IEEE Internet of Things Journal, IEEE Journal of Oceanic Engineering, IEEE Signal Processing Letters, IEEE ACCESS, IEEE Communications Letters.

🌐 Professional Profiles

Peer Reviewer & Academic Engagements

Assoc Prof Dr. Weihua jiang, citation metrics and indices from Google Scholar are as follows:

Citations: 201 (All), 181 (Since 2019)
h-index: 9 (All), 9 (Since 2019)
i10-index: 7 (All), 7 (Since 2019)

Research Focus

Dr. Weihua Jiang, an Associate Professor specializing in underwater acoustic signal processing, has significantly advanced the field through a series of impactful publications. 🌊 His work, featured in prestigious journals like IEEE Transactions on Wireless Communications and IEEE Internet of Things Journal, focuses on exploiting sparsity for efficient underwater acoustic communication and sensor networks under varying conditions. πŸ“š Dr. Jiang’s innovative contributions include the development of novel communication systems for small AUVs, dynamic compressed sensing channel estimators, and modulation recognition techniques for non-cooperative underwater acoustic signals.

His expertise extends to joint sparsity in underwater MIMO communications and time reversal techniques, as evidenced by his publications in Applied Acoustics and Ocean Engineering. Dr. Jiang’s research emphasizes the practical application of advanced signal processing methods in the challenging underwater environment. πŸŽ“πŸ’‘

Research and Project ExperienceπŸ€ΏπŸ”¬

Research on Highly Spectrum-Efficient and Robust Long-Range Underwater Acoustic Communication Technology (Jan 2024 – Dec 2026): Developing a lightweight neural network noise reduction model for long-range underwater acoustic (UWA) faster-than-Nyquist (FTN) communication. Developing a frequency domain equalizer for multi-carrier long-range UWA FTN communication. Research of Channel Sensing Wireless Acoustic Sensor Network for Marine Environmental Monitoring (Oct 2019 – Dec 2022): Developed a UWA sensor network with the sparsity exploitation physical layer receiver. Designed and integrated experimental UWA sensor network to perform marine environmental monitoring. Research on Joint Sparse Model and Distributed Compressed Sensing (CS) Estimation Method of MIMO Underwater Acoustic Channel (Jan 2016 – Dec 2019): Developed a static-dynamic discriminative CS algorithm to estimate the UWA channel with hybrid sparsity. Developed an adaptive observation length orthogonal matching pursuit algorithm to exploit the rapidly time-varying sparsity for UWA channels. Algorithm Design and Equipment Development of Underwater Acoustic (UWA) Beacons (Jun 2015 – Jul 2017): Developed DSSS and OFDM UWA communication systems. Developed an energy-efficient and communication-efficient MAC protocol for UWA sensor network.

Professional SkillsπŸ’»πŸ› οΈ

Programming Languages: Python, MATLAB, C/C++., Software and Hardware: NS3, DSP, Embedded microprocessor.

Selected AwardπŸ†πŸŽ“

Best PhD Thesis Award in Fujian Province, 2022. Outstanding reviewer of the Journal of Electronics & Information Technology, 2021. China Scholarship Council (CSC) scholarship, 2018-2020. National Scholarship for Graduate Students, 2015, 2019. Xiamen University Outstanding Graduates, 2016.


πŸ“šTop Noted Publication

Modulation recognition method of underwater acoustic communication signals using SVM Paper Published in 2015 Cited by 10

Exploiting sparsity for underwater acoustic sensor network under time varying channels Paper Published in 2021 Cited by 9

Efficient abstractions for implementing tgn channel and ofdm-mimo links in ns-3 Paper Published in 2020 Cited by 9

R&D of an spread spectrum acoustic communication modem with ranging capability Paper Published in 2016 Cited by 9

Exploiting dynamic sparsity for time reversal underwater acoustic communication under rapidly time varying channels Paper Published in 2021 Cited by 7



Weihua jiang | Communication and Networks | Young Scientist Award

You May Also Like