Assistant Professor Department of Computer Science and Engineering
Alia Asheralieva received the B.S. degree from Kyrgyz Technical University, Bishkek, Kyrgyzstan, in 2004, the M.E. degree from the Asian Institute of Technology, Bangkok, Thailand, in 2007, and the Ph.D. degree from the University of Newcastle, Callaghan, NSW, Australia, in 2015.
In 2015 and 2016, she was a Research Assistant Professor with the Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan. From 2017, she was a Post-Doctoral Research Fellow with the Wireless Networks and Decision Systems Group, Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore. She is currently an Assistant Professor with the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
◆ Ph.D. in Computer Science and Electrical Engineering, University of Newcastle, Australia, 2015
◆ Master of Engineering in Telecommunications, Asian Institute of Technology, Thailand, 2007
◆ Diploma of Engineer in Electronics, Kyrgyz Technical University, Kyrgyzstan, 2004
◆ Bachelor of Engineering in Electronics, Kyrgyz Technical University, Kyrgyzstan, 2003
◆ Assistant Professor, Department of Computer Science and Engineering, Sustech
◆ Postdoctoral Research Fellow, Wireless Networks & Decision Systems Lab, Singapore University of Technology and Design, Singapore, January 2017 – September 2018
◆ Assistant Professor, Graduate School of Information Science and Technology, Hokkaido University, Japan, June 2015 – January 2017
◆ Senior Lecturer, Faculty of Information Technology, Kyrgyz Technical University, Kyrgyzstan,June 2007 –April 2010
◆ Engineer, Department of Standardization and Certification, State Communications Agency (SCA) under the Government of the Kyrgyz Republic, Bishkek, Kyrgyzstan,September 2002 – August 2005
2010-2014 – Australian Government Research Higher Degree Scholarship
2005-2007 – Japan ADB-JSP Scholarship for Master Studies
1999-2004 – Kyrgyz Government Scholarship for outstanding students
Honors and Awards
2020 – International Young Scientist Award (National Natural Science Foundation of China, NSFC)
2009 – Best paper award at ICFIN Conference (Beijing, China)
2001 – Kyrgyz Students' Scientific Technical Conference (for research project in Holography)– 3rd prize
2000 – Kyrgyz Students' Scientific Technical Conference (for research project in Computer Algebra)– 1st prize
2000 - Students' Republican Math Olympiad – 2nd prize
1998 – Republican Math Olympiad – 3rd prize
1998 – Bishkek Math Olympiad – 1st prize
Research interests include communications and networking, including cognitive radio networks, heterogeneous networks, D2D and Internet of Things communications, cloud/edge/fog computing, cross-layer resource allocation and optimization, congestion control and routing, game theory, computational and artificial intelligence for wireless networks, as well as queuing theory, simulation and network modeling, QoS, and performance evaluation.
Complex Large-Scale Mobile Edge Computing Heterogeneous Networks
Mobile edge computing (MEC) is currently viewed as a prime emerging technology for the next generation mobile networks and Internet of Things (IoT). It allows to extend conventional cloud computing (CC) at the network edge to support real-time compute-intensive and high-bandwidth demanding mobile, IoT, and Big Data applications.
The architecture of MEC network contains an intermediate MEC layer between the cloud and end-users’ devices formed by distributed MEC servers with storage, computing, communication, and routing functions. MEC servers can be placed in stationary, quasi-stationary, and mobile locations, e.g., at the base stations (BSs), Wi-Fi access points (APs), unmanned aerial vehicles (UAVs), or users' mobile terminals.
Since MEC is still a very new concept, there are many open research problems that must be resolved to enable the deployment of MEC systems in real-world scenarios. Accordingly, this project aims to explore the design and implementation of large-scale MEC networks formed by numerous MEC servers that can be maintained by different mobile network operators (MNOs) and service providers (SPs) by addressing the following critical aspects:
1) resource management to guarantee the connectivity and required quality of service (QoS) for end-users given a decentralized nature of the network nodes controlled by different MNOs or SPs and the presence of incomplete (i.e., partially-observable) information about the network state;
2) content distribution and computational offloading to support efficient delivery of content and offloading of users’ computing tasks in a highly stochastic MEC environment with dynamic computing, caching, and spectrum resources and unstable wireless connections.
NSFC Research Grant (2020-2022): Complex Large-Scale Mobile Edge Computing Heterogeneous Networks
 A. Asheralieva and D. Niyato, “Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains with Mobile Edge Computing,” IEEE Transactions on Cognitive Communications and Networking, Early Access, May 2020.
 A. Asheralieva and D. Niyato, “Combining Contract Theory and Lyapunov Optimization for Content Sharing With Edge Caching and Device-to-Device Communications,” IEEE/ACM Transactions on Networking, vol. 28, no. 3, pp. 1213-1226, June 2020.
 A. Asheralieva and D. Niyato, “Distributed Dynamic Resource Management and Pricing in the IoT Systems with Blockchain-as-a-Service and UAV-Enabled Mobile Edge Computing,” IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1974-1993, March 2020.
 A. Asheralieva and D. Niyato, “Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks,” IEEE Transactions on Mobile Computing, Early Access, Dec. 2019.
 A. Asheralieva and D. Niyato, “Hierarchical Game-Theoretic and Reinforcement Learning Framework for Computational Offloading in UAV-Enabled Mobile Edge Computing Networks with Multiple Service Providers,” IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8753-8769, Oct. 2019.
 A. Asheralieva and D. Niyato, “Game Theory and Lyapunov Optimization for Cloud-Based Content Delivery Networks with Device-to-Device and UAV-Enabled Caching,” IEEE Transactions on Vehicular Technology, vol. 68, no. 10, pp. 10094-10110, Oct. 2019.
 A. Asheralieva, “Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks,” IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, Feb. 2019.
Dusit (Tao) Niyato, Ph.D., IEEE Fellow, Professor
School of Computer Science and Engineering (SCSE) and School of Physical and Mathematical Sciences (SPMS)
Computer Networks (for 4th year undergraduate students)
Computer Organization (for 2nd year undergraduate students)
Publications Read More
Lab members Read More
JOB TITLE: Postdoctoral and PhD Openings in the area of Wireless Networking and
Communications at the Department of Computer Science and Engineering, SUSTech
Postdoctoral positions and PhD scholarships are available in some/all of the following areas of networking and communications:
- Fog/Mobile Edge Computing,
- Mobile Blockchain Applications,
- IoT and UAV Communications,
- 6G Communications.
PhD programs include:
- pure SUSTech PhD programs (for International students) and
- joint SUSTech-National University Singapore (NUS) programs (for both the Chinese and International students).
More details can be found on SUSTech website:
Prospective candidates should submit a Cover Letter and a CV to Dr. Alia Asheralieva at email: firstname.lastname@example.org. Only shortlisted candidates will be contacted!
Desired skills and experience for PhD candidates:
To qualify for a PhD scholarship, in addition to the requirements provided in the website, the applicant should be the graduate of SUSTech, one of the top Universities in China (e.g., in 985 project), or a leading University abroad.
For Postdoctoral candidates:
The candidate should have a relevant research background and good publication record. There is also an age limit - the candidate should be less than 35 years old.