Book Chapters

• S. Sun, “MIMO Radar Technology,” Chapter in the book of Modern Radar for Automotive Applications (edited by Z. Peng, C. Li and F. Uysal), IET 2022.
• S. Sun, “Automotive MIMO Radar,” Chapter in the book of Radar for Fully Autonomous Vehicles (edited by Matt Markel), Artech House 2022.
• S. Sun, D. Smith and M. Markel, “Design Considerations for Automotive Radar,” Chapter in the book of Radar for Fully Autonomous Vehicles (edited by Matt Markel), Artech House 2022.
• ​S. Z. Gurbuz, S. Sun and D. Tahmoush,  ‘‘Radar Systems, Signals, and Phenomenology,” Chapter 1 in the book of Deep Neural Network Design for Radar Applications (edited by ​S. Z. Gurbuz), IET 2020.

Manuscript Under Review

• ​​L. Xu, S. Sun, R. Wu, B. Shi and J. Li, ‘‘Broad neural networks for sparse signal retrieval and array interpolation in automotive radar,’’ IEEE Transactions on Radar Systems, submitted in 2025.
• S. R. Pavel, Y. D. Zhang and S. Sun, ‘‘2D DOA estimation of coherent signals exploiting forward-backward covariance tensor,’’ IEEE Transactions on Signal Processing, submitted in 2025.
• Y. Hu, S. Sun and Y. D. Zhang, ‘‘Model-based learning for DOA estimation with one-bit single-snapshot sparse arrays,’’ IEEE Journal of Selected Topics in Signal Processing, submitted in 2025.

Journal Publications

• R. Zheng, S. Sun, H. Liu, H. Chen and J. Li, ‘‘Model-based knowledge-driven learning approach for enhanced high-resolution automotive radar imaging,’’ IEEE Transactions on Radar Systems, vol. 3, pp. 709-723, 2025.
• L. Xu, S. Sun, Y. D. Zhang and A. P. Petropulu, “Reconfigurable beamforming for automotive radar sensing and communication: A deep reinforcement learning approach,” IEEE Journal of Selected Areas in Sensors, vol. 1, pp. 124-138, 2024​.
• S. Sun, Y. Hu, K. V. Mishra, and A. P. Petropulu, “Widely separated MIMO radar using matrix completion,” IEEE Transactions on Radar Systems, vol. 2, pp. 180-196, 2024.
• R. Zheng, S. Sun, H. Liu, H. Chen and J. Li, “Interpretable and efficient beamforming-based deep learning for single snapshot DOA estimation,” IEEE Sensors Journal, vol. 24, no. 14, pp. 22096-22105, 2024.
• L. Xu, S. Sun, K. V. Mishra and Y. D. Zhang, ​‘‘Automotive FMCW radar with difference co-chirps,’’ IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 8145-8165, 2023.
• R. Zheng, S. Sun, H. Liu and T. Wu, ​‘‘Deep neural networks-enabled vehicle detection using high-resolution automotive radar imaging,’’ IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 4815-4830, 2023.
• C. Moseley, S. Bolton, J. M. Lukens, Y. Pai, M. Chilcote, B. L. Lawrie, S. Sun, M. Woodson, S. E. Estrella, S. M. Kim, and P. Kung, “Investigation of modified uni-traveling carrier photodiode for cryogenic microwave photonic links,” Optics Continuum, vol. 2, no. 10, pp. 2215-2224, 2023.
• S. Zhang, A. Ahmed, Y. D. Zhang and S. Sun, ‘‘Enhanced DOA estimation exploiting multi-frequency sparse array,” IEEE Transactions on Signal Processing, vol. 69, pp. 5935-5946, 2021.
• S. Sun and Y. D. Zhang, ‘‘4D automotive radar sensing for autonomous vehicles: A sparsity-oriented approach,” IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 4, pp. 879-891, 2021.                                 IEEE Signal Processing Society’s top 25 downloaded articles from Sept. 2021 – Sept. 2022 for IEEE Journal of Selected Topics in Signal Processing on IEEE Xplore®
• S. Sun, A. P. Petropulu and H. V. Poor, “MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges,” IEEE Signal Processing Magazine, vol. 37, no. 4, pp. 98-117, 2020. (Feature Article)  IEEE Signal Processing Society’s top 25 downloaded articles from Sept. 2022 – Sept. 2023 for IEEE Signal Processing Magazine on IEEE Xplore®
• S. Sun and A. P. Petropulu, ‘‘Waveform design for MIMO radars with matrix completion,’’ IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 8, pp. 1400-1414, 2015.
• S. Sun, W. U. Bajwa, and A. P. Petropulu, ‘‘MIMO-MC radar: A MIMO radar approach based on matrix completion,’’ IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 3, pp. 1839-1852, 2015.
• ​Y. Yu, S. Sun, R. N. Madan, and A. P. Petropulu, ‘‘Power allocation and waveform design for the compressive sensing based MIMO radar,’’ IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 2, pp. 898-909, 2014.

Conference Publications

• R. Zheng, S. Sun, and H. Liu, “Deep frequency attention networks for single snapshot sparse array interpolation,” in Proc. European Radar Conference (EuRAD), Utrecht, The Netherlands, Sept. 24-26, 2025.
• D. Rakhimov, R. Zheng, S. Sun, and M. Haardt, “Multidimensional beamspace processing for FMCW automotive radar,” in Proc. European Signal Processing Conference (EUSIPCO), Palermo, Italy, Sept. 8-12, 2025.
• P. Zontone, R. T. Rajan, S. Sun, L. Marcenaro, “Recent advances in autonomous systems for inspection and predictive maintenance of infrastructures: An overview of the special session,” in Proc. European Signal Processing Conference (EUSIPCO), Palermo, Italy, Sept. 8-12, 2025.
• R. Zheng, S. Sun, H. Liu, H. Chen and J. Li, “Model-based learning for high-resolution radar imaging in autonomous vehicles,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), Late Breaking Results Poster, Atlanta, GA, May 19-23, 2025.
• Y. Pan, J. Li, L. Xu, S. Sun, and Q. Zhu, ‘‘A game-theoretic approach for high-resolution automotive FMCW radar interference avoidance,’’ in Proc. IEEE International Radar Conference, Atlanta, GA, May 5-9, 2025.
• R. Zheng, S. Sun, H. Liu, H. Caesar, H. Chen and J. Li, ‘‘Advancing high-resolution and efficient automotive radar imaging through domain-informed 1D deep learning,’’ in Proc. IEEE 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
• R. Zheng, S. Sun, H. Liu and Y. D. Zhang, ‘‘Advancing single-snapshot DOA estimation with Siamese neural networks for sparse linear arrays,’’ in Proc. IEEE 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
• S. Rao, R. Narasimha and S. Sun, ‘‘Signal processing challenges in automotive radar,’’ in Proc. IEEE 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
• M. Kahlert, T. Fei, C. Tebruegge, M. Gardill and S. Sun, ‘‘Addressing speed-induced dispersion in stepped-frequency PMCW radar systems,’’ in Proc. IEEE 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
• A. Eamaz, F. Yeganegi, Y. Hu, M. Soltanalian and S. Sun, ‘‘Collaborative automotive radar sensing via mixed-precision distributed array completion,’’ in Proc. IEEE 50th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
• R. Zheng, S. Sun, H. Liu, H. Chen, M. Soltanalian and J. Li, “Antenna failure resilience: Deep learning-enabled robust DOA estimation with single snapshot sparse arrays,” in Proc. 58th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Oct. 27 – Oct. 30, 2024. (Invited)  [Source Code] [DOA Real Measurement Dataset]
• Y. Hu, S. Sun and Y. D. Zhang, “Enhancing off-grid one-bit DOA estimation with learning-based sparse Bayesian approach for non-uniform sparse array,” in Proc. 58th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Oct. 27 – Oct. 30, 2024. (Invited)  
• L. Xu, S. Sun, and A. Lee Swindlehurst, “Enhanced automotive radar collaborative sensing by exploiting constructive interference,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvallis, OR, July 8-11, 2024. (IEEE SPS Student Travel Grant)
• M. Kahlert, L. Xu, T. Fei, M. Gardill, and S. Sun, “High-resolution DOA estimation using single-snapshot MUSIC for automotive radar with mixed ADC allocations,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvallis, OR, July 8-11, 2024.
• Y. D. Zhang and S. Sun, “Identical partitioning of consecutive integer set,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvallis, OR, July 8-11, 2024.
• A. Eamaz, F. Yeganegi, Y. Hu, S. Sun, and M. Soltanalian, “Automotive radar sensing with sparse linear arrays using one-bit Hankel matrix completion,” in Proc. IEEE Radar Conference, Denver, CO, May 6-10, 2024.
• Y. Hu and S. Sun, ‘‘IHT-inspired neural network for single-snapshot DOA estimation with sparse linear arrays,” ​in Proc. IEEE 49th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 14-19, 2024.
• S. Pavel, Y. D. Zhang, S. Sun, and A. de Almeida, “Tensor reconstruction-based sparse array 2-D DOA estimation of mixed coherent and uncorrelated signals,” in Proc. IEEE 49th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 14-19, 2024.
• J. Li, J. Youn, R. Wu, J. Overdevest and S. Sun, “Performance evaluation and analysis of thresholding-based interference mitigation for automotive radar systems,” in Proc. IEEE 49th International Conference on Acoustics, Speech, and Signal Processing Workshop (ICASSPW), Seoul, Korea, April 14-19, 2024.
• R. Zheng, S. Sun, W. Kuo, T. Abatzoglou, and M. Markel, “4D automotive radar exploiting sparse array optimization and compressive sensing​,” in Proc. 57th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Oct. 29 – Nov. 1, 2023.
• L. Xu, S. Sun, R. Wu, D. Ren, and J. Li, “Generalized optimization of sparse antenna arrays for high-resolution automotive radar imaging,” in Proc. 57th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Oct. 29 – Nov. 1, 2023.
• S. Sun and C. Li, “1 + 1 is greater than 2: Collaborative automotive radar imaging exploiting spatial diversity,” in Proc. European Radar Conference (EuRAD), Berlin, Germany, Sept. 20-22, 2023.
• R. Zheng, H. Liu, S. Sun, and J. Li, “Deep learning based computationally efficient unrolling IAA for direction-of-arrival estimation,” in Proc. European Signal Processing Conference (EUSIPCO), Helsinki, Finland, Sept. 4-8, 2023.
• L. Xu, S. Sun, Y. D. Zhang and A. P. Petropulu, “Joint antenna selection and beamforming in integrated automotive radar sensing-communications with quantized double phase shifters,” ​in Proc. IEEE 48th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, June 4-9, 2023.
• L. Xu and S. Sun, “Coprime visible regions assisted angle unfolding for sparse ESPRIT,” in Proc. IEEE Radar Conference, San Antonio, TX, May 1-5, 2023.
• S. Sun, Y. Wen, R. Wu, D. Ren, and J. Li, “Fast forward-backward Hankel matrix completion for automotive radar DOA estimation using sparse linear arrays,” in Proc. IEEE Radar Conference, San Antonio, TX, May 1-5, 2023.
• R. Zheng, S. Sun, H. Liu, and T. Wu, “Time-sensitive and distance-tolerant deep learning-based vehicle detection using high-resolution radar birds-eye-view images,” in Proc. IEEE Radar Conference, San Antonio, TX, May 1-5, 2023.
• R. Zheng, H. Liu, and S. Sun, ‘‘A deep learning approach for Doppler unfolding in automotive TDM MIMO radar,’’ in Proc. 56th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Oct. 30 – Nov. 2, 2022.
• R. Zheng, S. Sun, D. Scharff and T. Wu, ‘‘SpectraNet: A High resolution imaging radar deep neural network for autonomous vehicles,’’ in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Trondheim, Norway, June 20-23, 2022. 
• L. Xu, R. Zheng and S. Sun, ‘‘A deep reinforcement learning approach for integrated automotive radar sensing and communication,’’ in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Trondheim, Norway, June 20-23, 2022. 
• S. Bolton, J. M. Lukens, C. Moseley, M. Woodson, S. Estrella, S. Sun, S. M. Kim, and P. Kung, ‘‘Investigation of microwave transducers for linearity dependence and applications in quantum networking,” in Proc. SPIE Quantum Communications and Quantum Imaging XX, San Diego, CA, Aug. 21- 26, 2022.
• R. Zheng, S. Sun, D. Scharff and T. Wu, ‘‘Beyond point clouds: A knowledge-aided high resolution imaging radar deep detector for autonomous driving,” arXiv preprint, arXiv:2111.01246, 2021.  
• L. Xu, S. Sun and K. V. Mishra,  ‘‘Difference co-chirps-based non-uniform PRF automotive FMCW radar,’’ in Proc. IEEE International Conference on Autonomous Systems (ICAS), Montréal, Québec, Canada, Aug. 11-13, 2021. 
• S. Sun and Y. D. Zhang,  ‘‘Four-dimensional high-resolution automotive radar imaging exploiting joint sparse-frequency and sparse-array design,’’ in Proc. IEEE 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.
• S. Sun, L. Xu and N. S. Jeong,  ‘‘Sparse step-frequency MIMO radar design for autonomous driving,’’ in Proc. IEEE Radar Conference, Atlanta, GA, May 10-14, 2021. 
• S. Sun and Y. D. Zhang,  ‘‘Multi-frequency sparse array-based massive MIMO radar for autonomous driving,’’ in Proc. 54th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Nov. 1-4, 2020. (Invited)
• X. Zhao, A. P. Petropulu and S. Sun, ‘‘A joint design of MIMO-OFDM dual-function radar communication system using generalized spatial modulation,” in Proc. IEEE Radar Conference, Florence, Italy, Sept. 21-25, 2020. 
• S. Zhang, A. Ahmed, Y. D. Zhang, and S. Sun, “DOA estimation exploiting interpolated multi-frequency sparse array,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, June 8-11, 2020. (The Best Student Paper Award)
• S. Sun and A. P. Petropulu,  ‘‘A sparse linear array approach in automotive radars using matrix completion,’’ in Proc. IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020.
• S. Sun, K. V. Mishra and A. P. Petropulu, ‘‘Target estimation by exploiting low rank structure in widely separated MIMO radar,’’ in Proc. IEEE Radar Conference, Boston, MA, April 22-26, 2019.
• S. Sun and A. P. Petropulu, ‘‘On waveform conditions in MIMO radars using matrix completion,’’ in Proc. 49th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Nov. 8-11, 2015. (Invited)
• S. Sun and A. P. Petropulu, ‘‘On transmit beamforming in MIMO radar with matrix completion,’’ in Proc. IEEE 40th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
• S. Sun and A. P. Petropulu, ‘‘On waveform design for MIMO radar with matrix completion,’’ in Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Information Processing for Big Data Symposium, Atlanta, GA, Dec. 3-5, 2014.
• S. Sun and A. P. Petropulu, ‘‘On the applicability of matrix completion on MIMO radars,’’ in Proc. 48th Annual Asilomar Conference on Signals, Systems, and Computers (Asilomar), Pacific Grove, CA, Nov. 2-5, 2014. (Invited)
• D. S. Kalogerias, S. Sun, and A. P. Petropulu, ‘‘Sparse sensing in colocated MIMO radar: A matrix completion approach,’’ in Proc. IEEE 13th International Symposium on Signal Processing and Information Technology (ISSPIT), Athens, Greece, Dec. 12-15, 2013. (Invited)
• S. Sun, A. P. Petropulu, and W. U. Bajwa, ‘‘High-resolution networked MIMO radar based on sub-Nyquist observations,’’ in Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS), EPFL, Lausanne, Switzerland, July 8-11, 2013.
• S. Sun, A. P. Petropulu, and W. U. Bajwa, ‘‘Target estimation in colocated MIMO radar via matrix completion,’’ in Proc. IEEE 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013.
• Y. Yu, S. Sun and A. P. Petropulu, ‘‘A Capon beamforming method for clutter suppression in colocated compressive sensing based MIMO radar,’’ SPIE Defense, Security, and Sensing, Baltimore, MD, April 29-May 3, 2013.
• S. Sun and A. P. Petropulu, ‘‘Robust beamforming via matrix completion,’’ in Proc. 47th Annual Conference on Information Sciences and Systems (CISS) , Baltimore, MD, March 20-22, 2013.
• S. Sun, W. Ni and Y. Zhu, ‘‘Robust power control in cognitive radio networks: A distributed way,’’ in Proc. IEEE International Conference on Communications (ICC), Kyoto, Japan, June 5-9, 2011. (IEEE ComSoc Student Travel Grant)
• S. Sun, W. Ni and Y. Zhu, ‘‘Robust distributed power control in cognitive radio networks,’’ in Proc. the 30th IEEE International Conference on Computer Communications (INFOCOM), Shanghai, China, April 10-15, 2011. (The Third Prize Best Poster Award)
• S. Sun, J. Di and W. Ni, ‘‘Distributed power control based on convex optimization in cognitive radio networks,’’ in Proc. 2nd International Conference on Wireless Communications and Signal Processing (WCSP), Suzhou, China, Oct. 21-23, 2010.

U.S. Patents

• S. Sun, ‘‘Sparse linear array approach in automotive radars using matrix completion,’’ U.S. Patent No. US 2021/0311182 A1 , issued on Oct. 7, 2021. 
• S. Sun and C. Alcalde, ‘‘Removing interference from signals received by detectors supported on a vehicle,’’ U.S. Patent No. US 2020/0284871 A1, issued on Sep. 10, 2020. 

Webinars

• IEEE SPS webinar together with Prof. Athina Petropulu and Prof. H. Vincent Poor on ‘‘The Past, Present and Future of Automotive Radar for Active Safety and Autonomous Driving”, on June 4, 2024. [Webinar Slides] [Webinar Video Record]​
• IEEE SPS webinar together with Prof. Yimin D. Zhang on “Redefining Radar Perception for Autonomous Driving: The Role of Sparse Array and Waveform Design in 4D Automotive Radar,” on Sept. 26, 2023. [Webinar Slides] [Webinar Video Record]​
• IEEE Communications Society (ComSoc) webinar on ‘‘MIMO Radar and Its Role in Autonomous Driving’’, July 24, 2018.

Presentations

• Nov. 18, 2024: “Sparse antenna array design for high-resolution automotive radar imaging”, presentation at University of Applied Sciences and Arts Dortmund.
• Oct. 21, 2024: “High-Resolution Automotive Radar Imaging for Autonomous Driving”, presentation at University of Delaware, Newark, DE
• Oct. 18, 2024: “Redefining Millimeter-Wave Automotive Radar for Autonomous Driving: Advanced Signal Processing and Machine Learning Approaches”, Seminar at Lehigh University, Bethlehem, PA
• Sept. 19, 2024: “Recent Advances in Automotive Radar Signal Processing for Autonomous Driving,” Seminar at Auburn University, Auburn, AL
• June 4, 2024: Invited to give an IEEE SPS webinar together with Prof. Athina Petropulu and Prof. H. Vincent Poor on ‘‘The Past, Present and Future of Automotive Radar for Active Safety and Autonomous Driving”. [Webinar Slides]
• April 14, 2024: ‘‘Integrated Signal Processing and Deep Learning for Automotive Radar,” Invited talk at The Workshop on Signal Processing and Machine Learning Advances in Automotive Radars, held at ICASSP 2024, Seoul, Korea.
• Jan. 26, 2024: ‘‘Integrating Signal Processing and Deep Learning: The Path to High-Resolution Imaging Radar for Autonomous Driving,” Seminar at Southern Methodist University, Dallas, TX.
• Nov. 10, 2023: invited to give a seminar on ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning” jointly at TU Delft and IEEE Benelux Section
• Oct. 24, 2023: ‘‘Advanced Signal Processing and Machine Learning Algorithms for Autonomous Vehicles”, presentation at NSF Industry-University Cooperative Research Center (IUCRC) – Center for Efficient Vehicles and Sustainable Transportation System (EVSTS), Fall 2023 Industry Advisory Board Meeting, Tuscaloosa, AL.
• Sept. 26, 2023: Invited to give an IEEE SPS webinar together with Prof. Yimin D. Zhang on “Redefining Radar Perception for Autonomous Driving: The Role of Sparse Array and Waveform Design in 4D Automotive Radar”. [Webinar Slides]
• EuRAD 2023 — 1 + 1 is greater than 2: Collaborative automotive radar imaging exploiting spatial diversity
• Sept. 19-20, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Seminars at TU Delft, The Netherlands
• Sept. 18, 2023: Invited to give a talk on ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning” at The Automotive Forum along with European Microwave Week (EuMW), Berlin, Germany.
• EUSIPCO 2023 —​ Deep learning based computationally efficient unrolling IAA for direction-of-arrival estimation
• Sept. 5, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, GM Cruise Munich, Munich, Germany. 
• June 14, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Aptiv, Wuppertal, Germany. 
• June 12, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Hella, Lippstadt, Germany. 
• RadarConf 2023 — Fast forward-backward Hankel matrix completion for automotive radar DOA estimation using sparse linear arrays
• April 13, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Seminar at University of California, Davis
• April 12, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Seminar at University of California, Irvine 
• April 3, 2023: ‘‘Automotive Radar for Autonomous Driving: Signal Processing Meets Deep Learning”, Seminar at University of Illinois Chicago 
• Feb. 3, 2022: Invited Talk on 4D automotive radar sensing for autonomous vehicles, Seminar at GM Cruise.
•  Jan. 26, 2022: ​​Invited Seminar on​ 4D automotive radar sensing for autonomous vehicles, Seminar at The University of Alabama.
• RadarConf 2019  — Target estimation by exploiting low rank structure in widely separated MIMO radar
• Mar. 29, 2019: Invited talk on ‘‘The Advantages and Challenges of MIMO Radar for Autonomous Driving’’ at California State University, Long Beach, CA.
• July 24, 2018: Invited IEEE Communications Society (ComSoc) webinar on ‘‘MIMO Radar and Its Role in Autonomous Driving’’. 
• Mar. 19, 2018: Invited to give a talk on ‘‘Make Self-Driving Cars See! The Key MIMO Radar Technology for Autonomous Driving’’ at Michigan State University, East Lansing, MI. 
• Nov. 28, 2017: Invited talk on ‘‘MIMO Radar: Fundamentals, Sparse Sensing and its Application in Autonomous Driving (Part II)’’ at IEEE Buenaventura Section Seminar, Skyworks Solutions, Newbury Park, CA.
• Sept. 26, 2017: Invited talk on ‘‘MIMO Radar: Fundamentals, Sparse Sensing and its Application in Autonomous Driving (Part I)’’ at IEEE Buenaventura Section Seminar, Skyworks Solutions, Newbury Park, CA. 
• Asilomar 2015  — On waveform conditions in MIMO radars using matrix completion
• SPIE 2013 Compressive Sensing for Radar  — A Capon beamforming method for clutter suppression in colocated compressive sensing based MIMO radar
• CISS 2013  —  Robust beamforming via matrix completion
• SAM 2012  —  Power allocation for CS-based colocated MIMO radar systems
• ICC 2011  —  Robust power control in cognitive radio networks: A distributed way
• WCSP 2010  —  Distributed power control based on convex optimization in cognitive radio networks​​

PhD Dissertation

Shunqiao Sun, ‘‘MIMO Radars with Sparse Sensing,’’ Rutgers University, New Brunswick, NJ, Jan. 2016. 
IEEE Aerospace and Electronic Systems Society Robert T. Hill Best Dissertation Award

Research Profile and Citations

Google Scholar

IEEE Disclaimer

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.