Page 71 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4
[17] Aya Mostafa Ahmed, Alaa Alameer Ahmad, Stefano AUTHORS
Greco, Fulvio
Aidong Yang received a Ph.D. de‑
“ Reinforcement Learning approach
gree in wireless communications
for Multi‑target Detection in Massive MIMO radar”.
from the Dalhousie University,
In: IEEE Transactions on Aerospace and Electronic
Halifax, NS, Canada, in 2017.
Systems (2021), pp. 1–1.
His research interests include
[18] Richard Sutton Reinforce‑ wireless techniques, 5G communi‑
ment learning: An introduction. MIT press, 2018. cations, machine learning and its
[19] F rster and applications. He has authored and
Ganesh Kumar Venayagamoorthy. “Computational co‑authored over 20 journal and
intel‑ A conference papers.
survey” IEEE communications surveys &
Xinlang Yue received an M.S. de‑
tutorials 13.1 (2010), pp. 68–96.
gree in applied mathematics from
[20] Daishi Stuart Russell. Columbia University, New York,
“Policy invariance under reward transformations: NY, US, in 2020. His research in‑
Theory application reward shaping” In: terests mainly focus on deep re‑
ICML. Vol. 99. 1999, pp. 278–287. inforcement learning algorithms
[21] “Potential‑based Q‑ with real‑world applications.
value initialization equivalent” Journal of Mohan Wu received a Ph.D. de‑
Arti icial Intelligence Research 19 (2003),
gree in numerical mathematics
pp. 205–208.
from University of Pittsburgh,
[22] Reid “Complexity Pittsburgh, PA, US, in 2019. His
of real‑time reinforcement learning” In: research interests mainly focus
AAAI. 1993, pp. 99–107. on the init e element method and
[23] Dylan Had ield‑Menell, Smitha Milli, Pieter Abbeel, machine learning algorithm.
Stuart J Russell, and Anca Dragan. “Inverse reward
design”. In: Advances in neural information process‑ Ye Ouyang, Ph.D., is CTO & Senior
Vice President of AsiaInfo Tech‑
ing systems. 2017, pp. 6765–6774.
nologies. Dr. Ouyang has dis‑
[24] M Series. “Guidelines for evaluation of radio inter‑ tinguished experience in R&D and
face technologies for IMT‑2020”. In: (2017). management in the telecommuni‑
[25] M Series. “Guidelines for evaluation of radio inter‑ cations industry. Prior to AsiaInfo,
Dr. Ouyang has been Verizon Fel‑
face technologies for IMT‑Advanced”. In: Report ITU
638 (2009), pp. 1–72. low and Senior Manager in Verizon. His research is in the
interdisciplinary area of wireless communications, data
[26] Sun, Theodore Rappaport, A
science, and AI. Dr. Ouyang has authored more than 30
Thomas, Amitava Ghosh, Huan C Nguyen, István Z
academic papers, 40 patents, 10 international standards,
Kovács, Rodriguez, and
and 8 books. Dr. Ouyang obtained a Ph.D. from Stevens In‑
Andrzej Partyka. “Investigation of prediction
stitute of Technology, a Master of Science from Tufts Uni‑
accuracy sensitivity stability of
versity, another Master of Science from Columbia Univer‑
large‑scale path models for 5G
wireless communications” IEEE Transactions on sity, and a Bachelor’s degree of from Southeast University.
Vehicular Technology 65.5 (2016), pp. 2843–2860.
© International Telecommunication Union, 2021 55