Recent Publications
A.H. Arani, M.M. Azari, P. Hu, Y. Zhu, H. Yanikomeroglu, S. Safavi-Naeini, "Reinforcement learning for energy-efficient trajectory design of UAVs", IEEE Internet of Things Journal, 2021
A.H. Arani, P. Hu, Y. Zhu, "Re-envisioning Space-Air-Ground Integrated Networks: Reinforcement Learning for Link Optimization," IEEE ICC, Montreal, Canada, 2021
MM Azari, A. H. Arani, F Rosas , "Mobile Cellular-Connected UAVs: Reinforcement Learning for Sky Limits," IEEE Globecom Workshop, Taipei, Taiwan, 2020
A. H. Arani, M. Mahdi Azari, W. Melek and S. Safavi-Naeini, "Learning in the Sky: Towards Efficient 3D Placement of UAVs," IEEE PIMRC, London, United Kingdom, 2020, pp. 1-7
Atefeh Hajijamali Arani
Atefeh Hajijamali Arani
Atefeh is a postdoctoral fellow at the University of Waterloo. Her research interests lie in machine learning, game theory, wireless communications, resource management, unmanned aerial vehicles (UAV), and 6G/beyond design.
Atefeh is a postdoctoral fellow at the University of Waterloo. Her research interests lie in machine learning, game theory, wireless communications, resource management, unmanned aerial vehicles (UAV), and 6G/beyond design.
She received her doctoral degree in Electrical Engineering-Communication Systems at Isfahan University of Technology (IUT), Iran, in 2018. During her PhD, she was a visiting researcher at Tohoku University, Japan, and she worked on the Japan-US Network Opportunity (JUNO) project.
She received her doctoral degree in Electrical Engineering-Communication Systems at Isfahan University of Technology (IUT), Iran, in 2018. During her PhD, she was a visiting researcher at Tohoku University, Japan, and she worked on the Japan-US Network Opportunity (JUNO) project.