Grants per year
Personal profile
Research Interests
Professor Guo's research interests lie in blockchain technologies, wireless communications, information theory, communication networks, and signal processing. His current projects concern blockchain analysis and design, next generation cellular networks, the Internet of Things, and applications of deep learning in wireless networks.
Education/Academic qualification
Electrical Engineering, PhD, Princeton University
… → 2004
Electrical Engineering, MA, Princeton University
… → 2001
Electrical Engineering, MEng, National University of Singapore
… → 1999
Electrical Engineering & Information Science, BEng, University of Science and Technology of China
… → 1995
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Institute for Data, Econometrics, Algorithms and Learning (IDEAL)
Vijayaraghavan, A., Berry, R. A., Hartline, J. D., Khuller, S., Nocedal, J., Auerbach, E. J., Auffinger, A., Bugni, F. A., Canay, I. A., Gaudio, J., Golub, B., Guo, D., Horowitz, J. L., Hullman, J. R., Liang, A., Linna Jr., D. W., Makarychev, K., Wang, Z. & Wei, E.
9/1/22 → 8/31/27
Project: Research project
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SII-Center: SpectrumX - The National Center for Spectrum Innovation
Honig, M. L., Berry, R. A. & Guo, D.
University of Notre Dame, National Science Foundation
9/15/21 → 8/31/26
Project: Research project
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Collaborative Research: MLWiNS: ANN for Interference Limited Wireless Networks
6/1/20 → 5/31/23
Project: Research project
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SII Planning Grant: National Center for Radio Spectrum Innovations (NCRSI)
Honig, M. L., Berry, R. A. & Guo, D.
University of Notre Dame, National Science Foundation
8/15/20 → 7/31/21
Project: Research project
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Applications and Techniques for Fast Machine Learning in Science
Deiana, A. M. C., Tran, N., Agar, J., Blott, M., Di Guglielmo, G., Duarte, J., Harris, P., Hauck, S., Liu, M., Neubauer, M. S., Ngadiuba, J., Ogrenci-Memik, S., Pierini, M., Aarrestad, T., Bähr, S., Becker, J., Berthold, A. S., Bonventre, R. J., Müller Bravo, T. E., Diefenthaler, M., & 27 others, Apr 12 2022, In: Frontiers in Big Data. 5, 787421.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
Close latency-security trade-off for the Nakamoto consensus
Li, J., Guo, D. & Ren, L., Sep 26 2021, AFT 2021 - Proceedings of the 2021 3rd ACM Conference on Advances in Financial Technologies. Association for Computing Machinery, Inc, p. 100-113 14 p. (AFT 2021 - Proceedings of the 2021 3rd ACM Conference on Advances in Financial Technologies).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
Nasir, Y. S. & Guo, D., 2021, 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
Sinan Nasir, Y. & Guo, D., Nov 1 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 398-402 5 p. 9443301. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations -
Grant-Free NOMA with Device Activity Learning Using Long Short-Term Memory
Miao, X., Guo, D. & Li, X., Jul 2020, In: IEEE Wireless Communications Letters. 9, 7, p. 981-984 4 p., 9017984.Research output: Contribution to journal › Article › peer-review
16 Scopus citations