Alia Asheralieva

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.

Personal Profile

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

Research

Publication Topics: Game theory, machine learning (artificial intelligence), optimization, Internet of Things, Markov processes, autonomous aerial vehicles, belief networks, cryptography, decision making, mobile computing, mobile radio, queueing theory, Bayes methods, blockchains, cache storage, cellular radio, channel allocation, cloud computing, data mining, decision theory, distributed processing, pattern clustering, pricing, remotely operated vehicles, stochastic games.



Current Research:

Complex Distributed Resource Management Policies for the Integrated Blockchain-Mobile Edge Computing System to Support Delay-Sensitive and Compute-Intensive Internet of Things Applications


Description:

The growing use of compute-intensive and delay-sensitive Internet of Things (IoT) applications in the ongoing Industry 4.0 era imposes new challenges to data management and analytics, since vast volumes of IoT data must be exchanged and stored in a secure and decentralized way. Due to absence of privacy, poor transparency, and single failure points of centralized solutions, a distributed ledger – blockchain has been recently proposed for IoT data management. In blockchains, the data is converted into blocks that are verified and stored in a distributed manner by the blockchain nodes, which ensures improved data privacy, integrity, secure and reliability. In combination with mobile edge computing (MEC) where computations and storage are shifted close to IoT devices, blockchains can become a powerful platform for decentralized IoT data management.

Since blockchains and MEC are at the early stages of their implementation, many challenges remain to be addressed, e.g., system scalability, throughput, and delay. Accordingly, this project considers the major issues of the blockchain and MEC integration by focusing on scalable distributed resource management that can satisfy the required quality of service (QoS) for delay-sensitive and compute-intensive IoT applications. At least 6 novel research methods which can be used for many current IoT applications, e.g., smart-health, smart city, smart vehicles, and smart grid, are planned to be developed during the project.



Grants:

The Characteristic Innovation Project No. 2021KTSCX110 of Guangdong Provincial Department of Education




Complex Large-Scale Mobile Edge Computing Heterogeneous Networks


Description:

The growing use of compute-intensive and delay-sensitive Internet of Things (IoT) applications in the ongoing Industry 4.0 era imposes new challenges to data management and analytics, since vast volumes of IoT data must be exchanged and stored in a secure and decentralized way. Due to absence of privacy, poor transparency, and single failure points of centralized solutions, a distributed ledger – blockchain has been recently proposed for IoT data management. In blockchains, the data is converted into blocks that are verified and stored in a distributed manner by the blockchain nodes, which ensures improved data privacy, integrity, secure and reliability. In combination with mobile edge computing (MEC) where computations and storage are shifted close to IoT devices, blockchains can become a powerful platform for decentralized IoT data management.

Since blockchains and MEC are at the early stages of their implementation, many challenges remain to be addressed, e.g., system scalability, throughput, and delay. Accordingly, this project considers the major issues of the blockchain and MEC integration by focusing on scalable distributed resource management that can satisfy the required quality of service (QoS) for delay-sensitive and compute-intensive IoT applications. At least 6 novel research methods which can be used for many current IoT applications, e.g., smart-health, smart city, smart vehicles, and smart grid, are planned to be developed during the project.

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,“Throughput-Efficient Lagrange Coded Private Blockchain for Secured IoT Systems,” in IEEE Internet of Things Journal, , doi: 10.1109/JIOT.2021.3071563.

[2] A. Asheralieva and D. Niyato,“Fast and Secure Computational Offloading with Lagrange Coded Mobile Edge Computing,” in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3070723.

[3] T. Kanwal, A. Anjum, S.U.R. Malik, H. Sajjad, A. Khan, U. Manzoor, A. Asheralieva,“A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes,” Computers & Security, doi:10.1016/j.cose.2021.102224.

[4] Y. Shao, J. Wu, H. Ou, M. Pei, L. Liu, A.A. Movassagh, A. Sharma, G. Dhiman, M. Gheisari,A. Asheralieva,“Optimization of Ultrasound Information Imaging Algorithm in Cardiovascular Disease Based on Image Enhancement,” Mathematical Problems in Engineering, doi: 10.1155/2021/5580630

[5] S. Kannan, G. Dhiman, Y. Natarajan, A. Sharma, S.N. Mohanty, M. Soni , U. Easwaran, H. Ghorbani, A. Asheralieva, M. Gheisari,“Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management,” Electronics, doi: 10.3390/electronics10070785.

[6] T. Kanwal, A. Anjum, A. Khan, A. Asheralieva, G. Jeon ,“A Formal Adversarial Perspective: Secure and Efficient Electronic Health Records Collection Scheme for Multi-Records Datasets,” Transactions on Emerging Telecommunications Technologies, doi: 10.1002/ett.4180

[7] ,A. Asheralieva and D. Niyato,“Reputation-Based Coalition Formation for Secure Self-Organized and Scalable Sharding in IoT Blockchains With Mobile-Edge Computing,” in IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11830-11850, Dec. 2020, doi: 10.1109/JIOT.2020.3002969.

[8] A. Asheralieva and D. Niyato ,“Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains With Mobile Edge Computing, in IEEE Transactions on Cognitive Communications and Networking,” vol. 7, no. 1, pp. 319-335, March 2021, doi: 10.1109/TCCN.2020.2994366.

[9] A. Asheralieva and D. Niyato,“Combining Contract Theory and Lyapunov Optimization for Content Sharing With Edge Caching and Device-to-Device Communications,” in IEEE/ACM Transactions on Networking, vol. 28, no. 3, pp. 1213-1226, June 2020, doi: 10.1109/TNET.2020.2978117.

[10] J.S. Ng, W.Y.B. Lim, N.C. Luong, Z. Xiong, A. Asheralieva, D. Niyato, C. Leung, C. Miao,“A Survey of Coded Distributed Computing,” arXiv preprint arXiv:2008.09048, 20August 2020.

[11] A. Asheralieva and D. Niyato ,“Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks,” in IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1092-1109, 1 March 2021, doi: 10.1109/TMC.2019.2959772.

[12] 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,” in IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1974-1993, March 2020, doi: 10.1109/JIOT.2019.2961958.

Refereed Conference Papers:

[13] W. Ni, A. Asheralieva, C. Maple, M. M. Karim, D. Niyato, and Q. Yang,“ Throughput-Efficient Blockchain for Internet-of-Vehicles,” in Proceedings of IEEE GLOBECOM - Workshop on Scalable, Secure and Intelligent Blockchain for Future Networking and Communications , Madrid, Spain, 7-11 December 2021.

[14] W. Ni, J. Kang, C. Maple, Z. Xiong, and A. Asheralieva,”Fast and Secure Consortium Blockchains with Lightweight Block Verifiers,” in Proceedings of Third International Conference on Blockchain Computing and Applications (BCCA), Tartu, Estonia, 15-17 November 2021.

[15] S. Zhu, M. M. Karim, A. Asheralieva, D. Niyato, and A. Khuhawar ,“ Secure Federated Learning Based on Coded Distributed Computing ,“ in Proceedings of IEEE GLOBECOM - Workshop on Robust, Low-Latency and Efficient Federated Learning for 6G-Enabled Internet of Things , Madrid, Spain, 7-11 December 2021.

[16] G. Mehdi, A. A. Abbasi, Z. Sayari, Q. Rizvi, A. Asheralieva, S. Banu, F. M. Awaysheh, S. B. H. Shah, and K. A. Raza ,”A Survey on Clustering Algorithms in Wireless Sensor Networks,”: Challenges, Research, and Trends, 2020 International Computer Symposium (ICS), 2020, pp. 294-299, doi: 10.1109/ICS51289.2020.00065


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


Teaching

Computer Networks (for 4th year undergraduate students)

Computer Organization (for 2nd year undergraduate students)


Publications Read More

Refereed Journal Articles 

[1] A. Asheralieva, D. Niyato and Z. Xiong, “Auction-and-Learning Based Lagrange Coded Computing Model for Privacy-Preserving, Secure, and Resilient Mobile Edge Computing,” IEEE Transactions on Mobile Computing, 2021 (Early access), doi: 10.1109/TMC.2021.3097380.

[2] A. Asheralieva and D. Niyato, “Throughput-Efficient Lagrange Coded Private Blockchain for Secured IoT Systems,” in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3071563.

[3] A. Asheralieva and D. Niyato, “Fast and Secure Computational Offloading with Lagrange Coded Mobile Edge Computing,” in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3070723

[4] J. S. Ng, W.Y.B. Lim, N.C. Luong, Z. Xiong, A. Asheralieva, D. Niyato, C. Leung, C. Miao, “A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications,” IEEE Communication Surveys & Tutorials, vol. 23, no. 3, pp. 1800-1837, third quarter 2021.

[5] H. Attaullah, A. Anjum, T. Kanwal, S.U. Malik, A. Asheralieva, H. Malik, A. Zoha, K. Arshad, M.A. Imran, “F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes,” Sensors, vol 21, no. 14,2021, p. 4933.

[6] T. Kanwal, A. Anjum, S.U.R. Malik, H. SajjadA. Khan, U. Manzoor,  A. Asheralieva, “A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes,” Computers & Security,doi:10.1016/j.cose.2021.102224.

[7] Y. Shao, J. Wu, H. Ou, M. Pei, L. Liu, A.A. Movassagh, A. Sharma, G. Dhiman, M. Gheisari,  A. Asheralieva, “Optimization of Ultrasound Information Imaging Algorithm in Cardiovascular Disease Based on Image Enhancement,” Mathematical Problems in Engineering, doi: 10.1155/2021/5580630

[8] S. Kannan, G. Dhiman, Y. Natarajan, A. Sharma, S.N. Mohanty, M. Soni , U. Easwaran, H. Ghorbani,  A. Asheralieva, M. Gheisari, “Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management,” Electronics, doi: 10.3390/electronics10070785

[9] T. Kanwal, A. Anjum, A. Khan,  A. Asheralieva, G. Jeon, “A Formal Adversarial Perspective: Secure and Efficient Electronic Health Records Collection Scheme for Multi-Records Datasets” Transactions on Emerging Telecommunications Technologies, doi: 10.1002/ett.4180

[10] A. Asheralieva and D. Niyato, “Reputation-Based Coalition Formation for Secure Self-Organized and Scalable Sharding in IoT Blockchains With Mobile-Edge Computing,” in IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11830-11850, Dec. 2020, doi: 10.1109/JIOT.2020.3002969.

[11] A. Asheralieva and D. Niyato, “Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains With Mobile Edge Computing,” in IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 1, pp. 319-335, March 2021, doi: 10.1109/TCCN.2020.2994366.

[12] A. Asheralieva and D. Niyato, “Combining Contract Theory and Lyapunov Optimization for Content Sharing With Edge Caching and Device-to-Device Communications,” in IEEE/ACM Transactions on Networking, vol. 28, no. 3, pp. 1213-1226, June 2020, doi: 10.1109/TNET.2020.2978117.

[13] A. Asheralieva and D. Niyato, “Learning-Based Mobile Edge Computing Resource Management to Support Public Blockchain Networks,” in IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1092-1109, 1 March 2021, doi: 10.1109/TMC.2019.2959772.

[14] 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,” in IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1974-1993, March 2020, doi: 10.1109/JIOT.2019.2961958.

[15] A. Asheralieva and D. Niyato, “Game Theory and Lyapunov Optimization for Cloud-Based Content Delivery Networks With Device-to-Device and UAV-Enabled Caching,” in IEEE Transactions on Vehicular Technology, vol. 68, no. 10, pp. 10094-10110, Oct. 2019, doi: 10.1109/TVT.2019.2934027

[16] 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,” in IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8753-8769, Oct. 2019, doi: 10.1109/JIOT.2019.2923702.

[17] A. Asheralieva, “Optimal Computational Offloading and Content Caching in Wireless Heterogeneous Mobile Edge Computing Systems With Hopfield Neural Networks,” in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2019.2892733.

[18] 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,” in IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 3752-3767, June 2018, doi: 10.1109/TWC.2018.2815628.

[19] A. Asheralieva, “Bayesian Reinforcement Learning-Based Coalition Formation for Distributed Resource Sharing by Device-to-Device Users in Heterogeneous Cellular Networks,” in IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5016-5032, Aug. 2017, doi: 10.1109/TWC.2017.2705039.

[20] 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, July 2016,doi: 10.1016/j.comnet.2016.07.012

[21] A. Asheralieva and Y. Miyanaga, “Optimal Contract Design for Joint User Association and Intercell Interference Mitigation in Heterogeneous LTE-A Networks With Asymmetric Information,” in IEEE Transactions on Vehicular Technology, vol. 66, no. 6, pp. 5284-5300, June 2017, doi: 10.1109/TVT.2016.2615849.

[22] A. Asheralieva and Y. Miyanaga, “An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks,” in IEEE Transactions on Communications, vol. 64, no. 9, pp. 3996-4012, Sept. 2016, doi: 10.1109/TCOMM.2016.2593468.

[23] A. Asheralieva and Y. Miyanaga, “QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network,” in IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9787-9800, Dec. 2016, doi: 10.1109/TVT.2016.2531290.

[24] A. Asheralieva and Y. Miyanaga, “Dynamic Buffer Status-Based Control for LTE-A Network With Underlay D2D Communication,” in IEEE Transactions on Communications, vol. 64, no. 3, pp. 1342-1355, March 2016, doi: 10.1109/TCOMM.2016.2523505.

[25] 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 4565203, 18pages, 2016.

[26] 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, January 2016. doi:10.1155/2016/6306580.

[27] 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.doi: 10.1016/j.phycom.2014.11.001

[28] 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.doi:10.1016/j.comnet.2014.06.014

[29] 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.doi:10.1016/j.comnet.2013.10.008

[30] 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.doi:10.1504/ijipt.2012.047586 (invited paper)

Refereed Conference Papers

[31] W. Ni, A. Asheralieva, C. Maple, M. M. Karim, D. Niyato, and Q. Yang, “Throughput-Efficient Blockchain for Internet-of-Vehicles,” in Proceedings of IEEE GLOBECOM – Workshop on Scalable, Secure and Intelligent Blockchain for Future Networking and Communications , Madrid, Spain, 7-11 December 2021.

[32] W. Ni, J. Kang, C. Maple, Z. Xiong, and A. Asheralieva, “Fast and Secure Consortium Blockchains with Lightweight Block Verifiers,” in Proceedings of Third International Conference on Blockchain Computing and Applications (BCCA), Tartu, Estonia, 15-17 November 2021.  

[33] B. Behdani, M. Allahbakhshi, A. Asheralieva and M. Gheisari, “Analytical Method for Ferroresonance Solutions in Series Compensated Power Systems due to GICs: A Graphical Approach,” in Proc. IEEE Madrid PowerTech, 2021, pp. 1-6.

[34] S. Afrasiabi, B. Behdani, M. Afrasiabi, M. Mohammadi, A. Asheralieva and M. Gheisari, “Differential Protection of Power Transformers based on RSLVQ-Gradient Approach Considering SFCL,” in Proc. IEEE Madrid PowerTech, 2021, pp. 1-6.

[35] G. Mehdi, A. A. Abbasi, Z. Sayari, Q. Rizvi, A. Asheralieva, S. Banu, F. M. Awaysheh, S. B. H. Shah, and K. A. Raza, “A Survey on Clustering Algorithms in Wireless Sensor Networks: Challenges, Research, and Trends,” 2020 International Computer Symposium (ICS), 2020, pp. 294-299, doi: 10.1109/ICS51289.2020.00065.

[36] S. Zhu, M. M. Karim, A. Asheralieva, D. Niyato, and A. Khuhawar, “Secure Federated Learning Based on Coded Distributed Computing,” in Proceedings of IEEE GLOBECOM – Workshop on Robust, Low-Latency and Efficient Federated Learning for 6G-Enabled Internet of Things , Madrid, Spain, 7-11 December 2021.

[37] 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.DOI:10.34385/proc.61.W1-6-1 (student paper)

[38] A. Asheralieva and Y. Miyanaga, “Multi-agent Q-learning for autonomous D2D communication,” 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016, pp. 1-6, doi: 10.1109/ISPACS.2016.7824674.

[39] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “New MFCC with Triangular Mel Filtered Time Varying LPC,” in Proc. ISMAC, 2016. (student paper)

[40] A. Asheralieva, K. Mahata and J. Khan, “Delay Aware Resource Allocation Scheme for a Cognitive LTE Based Radio Network,” 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, 2014, pp. 242-246, doi: 10.1109/MASS.2014.13.(student paper)

[41] 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)

[42] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “Speech Recognition using MFCC with Time Varying LPCfor Similar Pronunciation Phrases,” in Proc. ITC-CSCC, Jul. 2016.

[43] A. Asheralieva, “Prediction based bandwidth allocation for cognitive LTE network,” 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013, pp. 801-806, doi: 10.1109/WCNC.2013.6554666.

[44] A. Asheralieva and K. Mahata, “Delay Aware Resource Allocation for Secondary Users in Cognitive LTE Network,”in Proc. IEEE MASS, 2014, pp. 242-246.

[45] A. Asheralieva and K. Mahata, “Resource allocation algorithm for cognitive radio network with heterogeneous user traffic,” 2013 IEEE Global Communications Conference (GLOBECOM), 2013, pp. 4633-4638, doi: 10.1109/GLOCOMW.2013.6855682.

[46] A. Asheralieva, K. Mahata, and J. Khan, “Delay and Loss due to Uplink Packet Scheduling in LTE Network,” WirelessAccess Flexibility, Lecture Notes in Computer Science, vol. 8072, pp. 1-12, 2013.

[47] A. Asheralieva, J. Y. Khan and K. Mahata, “Dynamic resource allocation in a LTE/WLAN heterogeneous network,” 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems, 2012, pp. 89-95, doi: 10.1109/ICUMT.2012.6459788.

[48] A. Asheralieva, J. Y. Khan and K. Mahata, “Performance analysis of VoIP services on the LTE network,” 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC), 2011, pp. 1-6, doi: 10.1109/ATNAC.2011.6096638.

[49] A. Asheralieva, J. Y. Khan and K. Mahata, “Traffic prediction based packet transmission priority technique in an infrastructure wireless network,” 2011 IEEE Wireless Communications and Networking Conference, 2011, pp. 404-409, doi: 10.1109/WCNC.2011.5779197.

[50] A. Asheralieva, J. Y. Khan, K. Mahata and E. H. Ong, “A predictive network resource allocation technique for cognitive wireless networks,” 2010 4th International Conference on Signal Processing and Communication Systems, 2010, pp. 1-9, doi: 10.1109/ICSPCS.2010.5709685

[51] A. Asheralieva, T. J. Erke and K. Kilkki, “Traffic characterization and service performance in FON network,” 2009 First International Conference on Future Information Networks, 2009, pp. 285-291, doi: 10.1109/ICFIN.2009.5339600. (best paper award). 

Scholarly Book Chapters

[52] 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. doi:10.1007/978-3-642-39805-6_1

Other Research Outputs 

Technical Reports:

[53] 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)

[54] 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: 

[55] М. Жумабаев, А. Е. Ашералиева, “Организация обслуживания в сети FON,” Журнал Электросвязь, №4, 2012, сс. 34 – 36. 

Refereed Conferences in Japanese: 

[56] 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: 

[57] 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. 

[58] А. Е. Ашералиева, “Сеть FON: Детальная оценка качества сети,” Известия ОшТУ, Ош 2008, сс.175 – 183. 

[59] А. Е. Ашералиева, “Сеть FON: Описание и моделирование,” Известия ОшТУ, Ош 2008, сс.170 – 175.

 

News More

  • The Characteristic Innovation Project No. 2021KTSCX110 of Guangdong Provincial Department of Education

    2021-09-26
  • Current Research Grant of NSFC (2020-2022) - Complex Large-Scale Mobile Edge Computing Heterogeneous Networks

    2019-12-04

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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:

  1. pure SUSTech PhD programs (for International students) and
  2. 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.cnOnly 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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Contact Us

Contact Address

Room311/344A, South Building, College of Engineering, No. 1088, Xueyuan Avenue, Nanshan District, Shenzhen, Guangdong, China

Office Phone

Please Email

Email

asheralievaa@sustech.edu.cn

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