Hongbin Li

• PhD (1999) University of Florida (Electrical Engineering)

Signal processing, machine learning, sparsity and compressive sensing, wireless communications, sensor networks, and radar systems.

• ECE Faculty Search Committee Chair
• ECE Promotion and Tenure Committee Member
• ECE Undergraduate Committee (Curriculum) Member
• Research and Outreach Committee Member
• SES Committee on Promotion and Tenure Member
• Sensing, Machine Learning, and Robotics Technologies Lab (SMARTLab) Chair

• IEEE Signal Processing Society Elected member of Sensor and Multichannel (SAM)Technical Committee
• Signal Processing Associate Editor
• 2020 IEEE Radar Conference Track Chair in Radar Detection and Estimation Theory
• 2020 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM-2020) Special Session Chair

Charles and Rosanna Batchelor Memorial Chair Professor;

Fellow of Institute of Electrical and Electronics Engineers (IEEE);

Provost’s Award for Research Excellence, Stevens;

IEEE Jack Neubauer Memorial Award;

Outstanding Paper Award, IEEE AFICON Conference;

Air Force Summer Faculty Fellow, Air Force Office of Scientific Research (AFOSR);

Harvey N. Davis Distinguished Teaching Assistant Professor Award, Stevens;

Jess H. Davis Memorial Award, Stevens;

Sigma Xi Graduate Research Award, University of Florida.

• IEEE Aerospace and Electronic Systems Society Fellow
• IEEE Communications Society Fellow
• IEEE Signal Processing Society Fellow
• IEEE Vehicular Technology Society Fellow
• IEEE – Institute of Electrical and Electronics Engineers Fellow

Air Force Office of Scientific Research (AFOSR);

Air Force Research Laboratory (AFRL);

Army Research Office (ARO);

Army TACOM/ARDEC;

Defense Advanced Research Projects Agency (DARPA);

National Science Foundation (NSF);

Office of Naval Research (ONR);

New Jersey Commission on Science and Technology (NJCST).

1. Liu, J.; Feng, Y.; Liu, W.; Orlando, D.; Li, H. (2020). Anomaly detection based on parametric model for hyperspectral imagery. The 4th International Conference on Graphics and Signal Processing (ICGSP 2020).
2. Liu, J.; Feng, Y.; Liu, W.; Orlando, D.; Li, H. (2020). Anomaly Detection with Training Data in Hyperspectral Imagery. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (vol. 2020-May, pp. 4836-4840).
   https://api.elsevier.com/content/abstract/scopus_id/85089228307.
3. Zhang, X.; Wang, F.; Li, H.; Himed, B. (2020). Covariance-Free TDOA/FDOA-Based Moving Target Localization for Multi-Static Radar. 2020 IEEE International Radar Conference (RADAR) (pp. 901--905).
4. Wang, F.; Zeng, C.; Li, H.; Govoni, M. A. (2020). Detection Performance of Distributed MIMO Radar with Asynchronous Propagation and Timing/Phase Errors. 2020 IEEE International Radar Conference (RADAR) (pp. 13--18).
5. Wang, F.; Li, H. (2020). Joint Power Allocation for Multicarrier Radar and Communication Coexistence. 2020 IEEE International Radar Conference (RADAR) (pp. 141--145).
6. Wang, H.; Fang, J.; Duan, H.; Li, H. (2020). Efficient Beamforming Training and Channel Estimation for mmWave MIMO-OFDM Systems. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) (pp. 1--5).
7. Wang, H.; Yao, Y.; Li, H.; Xia, H. (2019). Secondary User Access Control with MassiveMIMO in Cognitive Radio Networks. 2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 1--9).
8. Wan, Q.; Fang, J.; Chen, Z.; Li, H. (2019). Generalized bussgang LMMSE channel estimator for one-bit massive MIMO systems. 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings.
   https://api.elsevier.com/content/abstract/scopus_id/85081952742.
9. Jiang, Y.; Li, H.; Rangaswamy, M. (2019). Adaptive Signal Detection in Subspace Interference with Uncertain Prior Knowledge. Conference Record - Asilomar Conference on Signals, Systems and Computers (vol. 2019-November, pp. 74-78).
   https://api.elsevier.com/content/abstract/scopus_id/85083298066.

1. Wang, P.; Li, H. (2020). Target Detection with Imperfect Waveform Separation in Distributed MIMO Radar. IEEE Transactions on Signal Processing (vol. 68, pp. 793-807).
   https://api.elsevier.com/content/abstract/scopus_id/85081044023.
2. Wan, Q.; Fang, J.; Duan, H.; Chen, Z.; Li, H. (2020). Generalized Bussgang LMMSE Channel Estimation for One-Bit Massive MIMO Systems. IEEE Transactions on Wireless Communications (6 ed., vol. 19, pp. 4234-4246).
   https://api.elsevier.com/content/abstract/scopus_id/85087184784.
3. Jiang, Y.; Li, H.; Rangaswamy, M. (2020). Adaptive Subspace Signal Detection with Uncertain Partial Prior Knowledge: Off-Grid Problem and Efficient Implementation. IEEE Transactions on Aerospace and Electronic Systems (1 ed., vol. 56, pp. 558-571).
   https://api.elsevier.com/content/abstract/scopus_id/85079625191.
4. Wang, P.; Fang, J.; Duan, H.; Li, H. (2020). Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems. IEEE Signal Processing Letters (vol. 27, pp. 905-909).
   https://api.elsevier.com/content/abstract/scopus_id/85087159054.
5. Yang, L.; Fang, J.; Duan, H.; Li, H. (2020). Fast Compressed Power Spectrum Estimation: Toward a Practical Solution for Wideband Spectrum Sensing. IEEE Transactions on Wireless Communications (1 ed., vol. 19, pp. 520-532).
   https://api.elsevier.com/content/abstract/scopus_id/85078338756.
6. Wang, F.; Li, H. (2020). Joint Waveform and Receiver Design for Co-Channel Hybrid Active-Passive Sensing with Timing Uncertainty. IEEE Transactions on Signal Processing (vol. 68, pp. 466-477).
   https://api.elsevier.com/content/abstract/scopus_id/85079664232.
7. Wang, B.; Fang, J.; Duan, H.; Li, H. (2020). PhaseEqual: Convex Phase Retrieval via Alternating Direction Method of Multipliers. IEEE Transactions on Signal Processing (vol. 68, pp. 1274-1285).
   https://api.elsevier.com/content/abstract/scopus_id/85079469920.
8. Liu, J.; Feng, Y.; Liu, W.; Orlando, D.; Li, H. (2020). Training data assisted anomaly detection of multi-pixel targets in hyperspectral imagery. IEEE Transactions on Signal Processing (vol. 68, pp. 3022-3032).
   https://api.elsevier.com/content/abstract/scopus_id/85086071100.
9. Zhang, X.; Sward, J.; Li, H.; Jakobsson, A.; Himed, B. (2019). A Sparsity-Based Passive Multistatic Detector. IEEE Transactions on Aerospace and Electronic Systems (6 ed., vol. 55, pp. 3658-3666).
   https://api.elsevier.com/content/abstract/scopus_id/85071127370.
10. Jiang, Y.; Li, H.; Rangaswamy, M. (2019). Deep Learning Denoising Based Line Spectral Estimation. IEEE Signal Processing Letters (11 ed., vol. 26, pp. 1573-1577).
    https://api.elsevier.com/content/abstract/scopus_id/85077752796.
11. Zhou, J.; Li, H.; Cui, W. (2019). Joint Design of Transmit and Receive Beamforming for Transmit Subaperturing MIMO Radar. IEEE Signal Processing Letters (11 ed., vol. 26, pp. 1648-1652).
    https://api.elsevier.com/content/abstract/scopus_id/85077754747.
12. Wang, F.; Li, H. (2019). Joint Power Allocation for Radar and Communication Co-Existence. IEEE Signal Processing Letters (11 ed., vol. 26, pp. 1608-1612).
    https://api.elsevier.com/content/abstract/scopus_id/85072199251.
13. Wang, H.; Li, H.; Zhang, W.; Zuo, J.; Wang, H. (2019). Derivative-free Huber–Kalman smoothing based on alternating minimization. Signal Processing (vol. 163, pp. 115-122).
    https://api.elsevier.com/content/abstract/scopus_id/85065836867.
14. Li, X.; Fang, J.; Duan, H.; Chen, Z.; Li, H. (2019). Fast beam alignment for millimeter wave communications: A sparse encoding and phaseless decoding approach. IEEE Transactions on Signal Processing (17 ed., vol. 67, pp. 4402--4417). IEEE.
15. Wang, F.; Li, H.; Govoni, M. A. (2019). Power Allocation and Co-Design of Multicarrier Communication and Radar Systems for Spectral Coexistence. IEEE Transactions on Signal Processing (14 ed., vol. 67, pp. 3818-3831).
    https://api.elsevier.com/content/abstract/scopus_id/85067862566.