助理教授 计算机科学与工程系
Alia Asheralieva于2004年获得吉尔吉斯斯坦比什凯克市吉尔吉斯斯坦技术大学的理学学士学位，并于2007年获得泰国曼谷亚洲技术学院的理学硕士学位和博士学位。 2015年获得澳大利亚新南威尔士州卡拉汉市纽卡斯尔大学的博士学位。
在2015年和2016年，她担任日本北海道大学信息科学与技术研究生院的研究助理教授。 自2017年起，她担任新加坡科技大学设计与信息系统无线网络和决策系统小组的博士后研究员。 她目前是中国南方科技大学计算机科学与工程系的助理教授。
个人简介Educational Background
◆?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
Professional Experience
◆?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
Scholarship
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
个人简介
研究领域无线通信和网络，包括认知无线电网络、异构网络、设备到设备通信、物联网（loT）通信、云计算/边缘计算/雾计算。相关的理论：排队论、优化方法，包括非凸、整数规划、混合整数规划、分层随机优化、博弈论、人工和计算智能网络算法等
Current Research:
Complex Large-Scale Mobile Edge Computing Heterogeneous Networks
Description:
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.
Grants:
NSFC Research Grant (2020-2022): Complex Large-Scale Mobile Edge Computing Heterogeneous Networks
Publications:
[1] 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.
[2]?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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
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Collaborations:
Dusit (Tao) Niyato, Ph.D., IEEE Fellow,?Professor
School of Computer Science and Engineering (SCSE) and?School of Physical and Mathematical Sciences (SPMS)
Nanyang Technological University, Singapore
Webpage:?https://www.ntu.edu.
教学Computer Networks (for 4th year undergraduate students)
Computer Organization (for 2nd year undergraduate students)
学术成果 查看更多Refereed Journal Articles
[1] 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.
[2] 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.
[3] 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.
[4] A. Asheralieva and D. Niyato, “Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks,” IEEE Transactions on Mobile Computing, vol.20, no. 3 , pp. 1092-1109, March 2021.
[5] 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.
[6] 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.
[7] 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.
[8] A. Asheralieva, T. Q. S. Quek and D. Niyato, “An Asymmetric Evolutionary Bayesian Coalition Formation Game for Distributed Resource Sharing in a Multi-Cell Device-to-Device Enabled Cellular Network,” IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 3752-3767, June 2018.
[9] A. Asheralieva, “Bayesian Reinforcement Learning-Based Coalition Formation for Distributed Resource Sharing by Device-to-Device Users in Heterogeneous Cellular Networks,” IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5016-5032, Aug. 2017.
[10] A. Asheralieva and Y. Miyanaga, “Optimal Contract Design for Joint User Association and Intercell Interference Mitigation in Heterogeneous LTE-A Networks With Asymmetric Information,” IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5284-5300, June 2017.
[11] A. Asheralieva and Y. Miyanaga, “QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network,” IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9787-9800, Dec. 2016.
[12] A. Asheralieva and Y. Miyanaga, “Effective Resource Block Allocation Procedure for Quality of Service Provisioning in a Single-Operator Heterogeneous LTE-A Network,” Computer Networks, vol. 108, pp. 1-14, Oct. 2016.
[13] A. Asheralieva and Y. Miyanaga, “An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks,” IEEE Transactions on Communications, vol. 64, no. 9, pp. 3996-4012, Sept. 2016.
[14] A. Asheralieva and Y. Miyanaga, “Dynamic Buffer Status-Based Control for LTE-A Network With Underlay D2D Communication,” IEEE Transactions on Communications, vol. 64, no. 3, pp. 1342-1355, March 2016.
[15] A. Asheralieva and Y. Miyanaga, “Dynamic Resource Allocation with Integrated Reinforcement Learning for a D2D-Enabled LTE-A Network with Access to Unlicensed Band,” Mobile Information Systems, vol. 2016, Article ID **, 18 pages, 2016.
[16] A. Asheralieva and Y. Miyanaga, “Joint Bandwidth and Power Allocation for LTE-Based Cognitive Radio Network Based on Buffer Occupancy,” Mobile Information Systems, vol. 2016, Article ID **, 23 pages, 2016.
[17] A. Asheralieva and K. Mahata, “Resource Allocation for LTE-based Cognitive Radio Network with Queue Stability and Interference Constraints,” Physical Communication, vol. 14, pp. 1-13, March 2015.
[18] A. Asheralieva and K. Mahata, “Joint Power and Bandwidth Allocation in IEEE802.22 based Cognitive LTE Network,” Computer Networks, vol. 71, pp. 117-129, Oct. 2014.
[19] A. Asheralieva and K. Mahata, “A Two-Step Resource Allocation Procedure for LTE-based Cognitive Radio Network,” Computer Networks, vol. 59, pp. 137-152, Feb. 2014.
[20] A. Asheralieva, J. Khan, and K. Mahata, “Performance of LTE for VoIP Users,” International Journal of Internet Protocol Technology, vol. 7, no. 1, pp. 3 – 14, 2012. (invited paper)
Refereed Conference Papers
[21] G. Mufungulwa, A. Asheralieva, H. Tsutsui, S. Abe, Y. Miyanaga, “Speech Recognition Using TVLPC Based MFCC for Similar Pronunciation Phrases,” in Proc. IEEE ISCAS, 2017, pp. 1918-1921. (student paper)
[22] A. Asheralieva and Y. Miyanaga, “Multi-agent Q-learning for autonomous D2D communication,” in Proc. IEEE ISPACS, 2016, pp. 1-6.
[23] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “New MFCC with Triangular Mel Filtered Time Varying LPC,” in Proc. ISMAC, 2016. (student paper)
[24] Y. Li, A. Asheralieva, Y. Miyanaga, “Delay Aware Resource Allocation Scheme for a Cognitive LTE Based Radio Network,” in Proc. ISMAC, Aug. 2016. (student paper)
[25] W. Zhang, A. Asheralieva, Y. Miyanaga, “The optimum power allocation method in the uplink of OFDMA system,” in Proc. ITC-CSCC, Jul. 2016. (student paper)
[26] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “Speech Recognition using MFCC with Time Varying LPC for Similar Pronunciation Phrases,” in Proc. ITC-CSCC, Jul. 2016. (student paper)
[27] A. Asheralieva and K. Mahata, “Delay Aware Resource Allocation for Secondary Users in Cognitive LTE Network,” in Proc. IEEE MASS, 2014, pp. 242-246.
[28] A. Asheralieva and K. Mahata, “Resource Allocation Algorithm for Cognitive Radio Network with Heterogeneous User Traffic,” in Proc. IEEE GLOBECOM, 2013, pp. 4852-4857.
[29] A. Asheralieva, “Prediction Based Bandwidth Allocation for Cognitive LTE Network,” in Proc. IEEE WCNC, 2013, pp. 801-806.
[30] A. Asheralieva, J. Khan, and K. Mahata, “Dynamic Resource Allocation in a LTE/WLAN Heterogeneous Network,” in Proc. IEEE ICUMT, 2012, pp. 1-6.
[31] A. Asheralieva, J. Khan, and K. Mahata, “Performance Analysis of VoIP Services on the LTE Network,” in Proc. IEEE ATNAC, 2011, pp. 1-6.
[32] A. Asheralieva, J. Khan, and K. Mahata, “Traffic Prediction Based Packet Transmission Priority Technique in an Infrastructure Wireless Network,” in Proc. IEEE WCNC, 2011, pp. 404-409.
[33] A. Asheralieva, J. Khan, K. Mahata, and E.-Hw. Ong, “A Predictive Network Resource Allocation Technique for Cognitive Wireless Networks,” in Proc. IEEE ICSPCS, 2010, pp. 1-9.
[34] A. Asheralieva, T. Erke, and K. Kilkki, “Traffic Characterization and Service Performance in FON network,” in Proc. IEEE ICFIN, 2009, pp. 285-291 (best paper award).
Scholarly Book Chapters
[35] A. Asheralieva, K. Mahata, and J. Khan, “Delay and Loss due to Uplink Packet Scheduling in LTE Network,” Wireless Access Flexibility, Lecture Notes in Computer Science, Springer Berlin Heidelberg, vol. 8072, pp. 1-12, 2013.
Other Research Outputs
Technical Reports:
[36] G. Mufungulwa, H. Tsutsui, A. Asheralieva, Y. Miyanaga, “Robust Speech Recognition using MFCC with Triangular Mel Filtered Time Varying LPC,” IEICE Society Conference, A-15-10, Sep. 2016. (student paper)
[37] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “New Speech Features Based on time-varying LPC for Robust Automatic Speech Recognition,” IEICE Technical Report, Vol. 116, No. 81, pp. 55 – 59, SIS2016-11, 9-10 Jun. 2016. (student paper)
Refereed Journals in Russian:
[38] М. Жумабаев, А. Е. Ашералиева, “Организация обслуживания в сети FON,” Журнал Электросвязь, №4, 2012, сс. 34 – 36.
Refereed Conferences in Japanese:
[39] W. Zhang, A. Asheralieva, G. Fang, H. Tsutsui, and Y. Miyanaga, “A Power Allocation Method in OFDMA System,” Joint Conference of Electrical, Electronics and Information Engineers in Hokkaido, Nov. 2015. (student paper)
Refereed Conferences in Russian:
[40] А. Е. Ашералиева, “Обзор результатов исследований беспроводных сетей передачи использованных в сети FON организация обслуживания в сети FON,” Известия КГТУ им. И. Раззакова, №16, Бишкек 2009, сс.46 – 52.
[41] А. Е. Ашералиева, “Сеть FON: Детальная оценка качества сети,” Известия ОшТУ, Ош 2008, сс.175 – 183.
[42] А. Е. Ашералиева, “Сеть FON: Описание и моделирование,” Известия ОшТУ, Ош 2008, сс.170 – 175.
新闻动态 更多新闻
Current Research Grant of NSFC (2020-2022) - Complex Large-Scale Mobile Edge Computing Heterogeneous Networks2019-12-04
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JOB TITLE: Postdoctoral and PhD Openings in the area of Wireless Networking and
Communications at the Department of Computer Science and Engineering, SUSTech
Job description:
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:
https://gs.sustech.edu.cn/liuxuesheng2020.
Prospective candidates should submit a Cover Letter and a CV to Dr. Alia Asheralieva at email:?asheralievaa@sustech.edu.cn.?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.
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