Dinh Thi Ha Ly

Lecturer, Department Of Computer Engineering

Ph.D. (Informatics, National Institute of Informatics, Japan, 2022)

M.Sc. (Computer Science, Hanoi University of Science and Technology, 2017)

B.Sc. (Computer Science, Hanoi University of Science and Technology, 2015)

Email: lydth@soict.hust.edu.vn

 

Research Areas

  • Optimization problem, Wireless Communication systems, Online learning techniques, Evolutionary algorithms

Research Interests

  • Energy-efficient radio resource allocation methods for B5G wireless systems
  • Application of online learning techniques for performance enhancement of future wireless communication networks

Profile

Dinh Thi Ha Ly received her BSc. and MSc. degrees in computer science from Hanoi University of Science and Technology, Vietnam in 2015 and 2017, respectively. In 2022, she received her PhD degree in Informatics at the Graduate University of Advanced Studies (SOKENDAI), National Institute of Informatics (NII), Tokyo, Japan. Her research interests include evolutionary algorithms and optimization problems, especially in wireless communication and IoT wireless systems. Recently, she is focusing on online learning techniques for radio resource, energy efficiency, and interference management in the future wireless networks.

Publications

  1. Thi Ha Ly Dinh, Megumi Kaneko, Kaito Fujii, “Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks”, in IEEE Internet of Things Journal, Aug. 2022, doi: 10.1109/JIOT.2022.3196683, (Q1, IF: 11.043),
  2. Megumi Kaneko, Thi Ha Ly Dinh, Kenichi Kawamura, Takatsune Moriyama and Yasushi Takatori, “Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: an Energy Efficiency Perspective”, in IEEE Network, Aug. 2022, doi: 10.1109/MNET.123.2100766, (Q1, IF: 10.294),
  3. Thi Ha Ly Dinh, Megumi Kaneko, Kenichi Kawamura, Takatsune Moriyama and Yasushi Takatori. “Improving Reliability by Risk-Averse Reinforcement Learning over Sub6GHz/mmWave Integrated Networks”, IEEE International Conference on Communications (ICC), May 2022, 6 pages, (IEEE Communications Society’s flagship conference, Core rank B)
  4. Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera and Yasushi Takatori, “Distributed User-to-Multiple Access Points Association through Deep Learning for Beyond 5G”, Elsevier Computer Networks, vol. 197, Oct. 2021, p. 108258 (Q1, IF: 4.474),
  5. Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama, Hirantha Abeysekera and Yasushi Takatori, “Deep Reinforcement Learning-based User Association in Sub6GHz/mmWave Integrated Networks”, IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Jan. 2021, 7 pages, (Core rank B)
  6. Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda and Lila Boukhatem, “Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge”, IEEE Transaction on Green Communications and Networking, vol. 5, no. 1, Oct. 2020, pp. 146–159 (Q1, IF: 5.496),
  7. Thi Ha Ly Dinh, Megumi Kaneko, Keisuke Wakao, Hirantha Abeysekera and Yasushi Takatori. “Reinforcement Learning-aided Distributed User-to-Access Points Association in Interfering Networks”, IEEE Global Communications Conference (GLOBECOM), Dec. 2019, 6 pages, (IEEE Communications Society’s flagship conference, Core rank B)
  8. Huynh Thi Thanh Binh, Nguyen Thi My Binh, Nguyen Hong Ngoc, Dinh Thi Ha Ly, Nguyen Duc Nghia, “Efficient Approximation Approaches to Minimal Exposure Path Problem in Probabilistic Coverage Model for Wireless Sensor Networks”, Applied Soft Computing, vol. 76, Mar. 2019, pp. 726-743 (Q1, IF: 5.472).
  9. Thi Ha Ly Dinh, Megumi Kaneko, Lila Boukhatem, “Energy-Efficient User Association and Beamforming for 5G Fog Radio Access Networks”, IEEE 16th Annual Consumer Communications & Networking Conference (CCNC), Jan. 2019, 6 pages, (Core rank B)
  10. Nicolas Pontois, Megumi Kaneko, Thi Ha Ly Dinh and Lila Boukhatem. “User Pre-Scheduling and Beamforming with Outdated CSI in 5G Fog Radio Access Networks”, IEEE Global Communications Conference (GLOBECOM), Dec. 2018, 6 pages, (IEEE Communications Society’s flagship conference, Core rank B)

Patents

  • 5211069JP1: “Communication Apparatus, Communication System and Communication Method’”, K. Kawamura, T. Nakahira, D. Murayama, T. Moriyama, M. Kaneko, T.H.L. Dinh, Feb. 14, 2022
  • 5201447JP1, 5201446JP1, 5201445JP1, 5201444JP1: “Wireless Communication Method, Wireless Terminal and Wireless Terminal Programs”, K. Wakao, K. Kawamura, T. Moriyama, M. Kaneko, T.H.L. Dinh, Jun. 11, 2021,
  • 5190981JP1, 5190980JP1: “Wireless Communication Control Method, Wireless Communication System, Wireless Communications Program”, K. Wakao, K. Kawamura, T. Moriyama, H. Abeysekera, Y. Takatori, M. Kaneko, T.H.L. Dinh, Feb. 5, 2020,
  • 2019-033386: “Apparatus and Methods for Wireless Communications”, K. Wakao, H. Abeysekera, Y. Takatori, M. Kaneko, T.H.L. Dinh, Feb 26, 2019,
  • 2019-033385: “Wireless Communication System, Wireless Terminal, Centralized Controller and Wireless Communication Methods”, K. Wakao, H. Abeysekera, Y. Takatori, M. Kaneko, T.H.L. Dinh, Feb 26, 201

Awards and Honours

  • English session best paper award at IEICE Network Systems Conference, Japan, 2020

Teaching

  • IT3020 – Discrete Mathematics
  • IT2120 – Computer Literacy
  • IT3170 – Applied Algorithms (Lab)
  • IT3080E – Computer Network (Lab)