Dr Alia Asheralieva

Since November 2023, Alia Asheralieva is a Lecturer of the Department of Computer Science in the School of Computer Science, Loughborough University, UK. She received her PhD (in Electrical & Computer Engineering) from the University of Newcastle, Australia, in 2015. After obtaining her PhD, from June 2015 to January 2017, she was a Research Assistant Professor of the Graduate School of Information Science and Technology, Hokkaido University, Japan. From January 2017 to October 2018, she was a Postdoctoral Research Fellow in the Wireless Networks and Decisions Systems Group, Singapore University of Technology and Design. From October 2018 to November 2023, she was an Assistant Professor in the Department of Computer Science and Engineering, Southern University of Science and Technology, China. From January 2022 to November 2023, she was also appointed as an Adjunct Professor in the Connected Autonomous Vehicles Lab of the Research Institute of Trustworthy Autonomous Systems (RITAS), SUSTech.

Alia Asheralieva has over 65 scientific publications, including:

• 40 journal articles, 30 as a first author; 10 as a corresponding/co-author, in top-tier journals in the field, such as IEEE Transactions on Mobile Computing, IEEE Communication Surveys and Tutorials, IEEE/ACM Transactions on Networking, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, and IEEE Transactions on Wireless Communications;
• 25 conference papers in the top conferences, 2 of which won the “best paper award”.

She is included in the World’s Top 2% Scientists List in 22 fields and 176 sub-disciplines by the Science Impact Ranking (Stanford University, USA). She is ranked in the Top 1% Scientists in the World in the field of Information & Communication Technologies (ICT), subfield of Networking & Telecommunications.

She has won several prestigious international research awards, grants and scholarships, including grants of the National Natural Science Foundation of China (NSFC), Ministry of Science and Technology of China (MOST), International Young Scientist Award (NSFC, China), Peacock C Award (MOST, China), Australian Research Higher Degree Award & Scholarship (Ministry of Education, Australia), and Asian Development Bank – Japan Award & Scholarship (Japan).

Main Research Areas: Computer Networks; Telecommunications; Mobile Computing; Artificial Intelligence (AI) for Networking and Communications; Operations Research; Intelligent Systems and Optimization; Distributed Systems; Information Security.

Research Interests and Publication Topics: Cloud/multi-access edge computing (MEC); blockchains; unmanned aerial vehicles (UAVs); internet of things (IoT); cellular radio; 5th generation (5G) and 6th generation (6G) networks; game theory; decision making; AI (machine learning); combinatorial and stochastic optimization; resource allocation; quality of service (QoS); computer network security; cryptography; data mining; content delivery networks; cognitive radio networks; device-to-device (D2D) communications; statistics and queuing theory.

Alia Asheralieva is an active member of the wider research and innovation community. Her research in 5G/6G networks, IoT/UAV communications, edge computing and blockchains proposes innovative solutions for effective computing, communications, resource/data management, data mining, privacy and security, with far-reaching implications for the broader society in the areas of smart industry and intelligent applications. The results of this research were widely cited not only in scientific publications and patents, but also in other public sources, including Wikipedia. Moreover, her research on 5G/6G networks, blockchains, edge computing and D2D communications has attracted industrial collaborations and projects with International IT companies. Over 65% of her publications involve international academic collaborations; over 10% report results of collaborative academic-industry research with corporate affiliations.

Alia Asheralieva is continuously involved in reviewing manuscripts in the top journals, such as IEEE Network Magazine, IEEE Transactions on Mobile Computing, and IEEE Transactions on Neural Networks and Learning Systems. She has served as a TPC member for prestigious international conferences, including IEEE ICC, INFOCOM, GLOBECOM and PerCom. She also served as a Publication Chair of the International Symposium on Multimedia & Communication Technology (Tokyo, Japan). 

Journal Articles:

[1] A. Asheralieva and D. Niyato, “Multi-Access Edge Computing for Real-Time Applications with Sporadic DAG Tasks – A Graphical Game Approach,” IEEE Transactions on Mobile Computing, Early Access, 2024.

[2] W. Ni, A. Asheralieva, J. Kang, Z. Xiong, C. Maple and X. Wei, “An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains,” IEEE Transactions on Services Computing, vol. 17, no. 2, pp. 420-436, 2024.

[3] Y. Chen, A. Asheralieva and X. Wei, “AtomCI: A New System for the Atomic Cross-Chain Smart Contract Invocation Spanning Heterogeneous Blockchains,” IEEE Transactions on Network Science and Engineering, vol. 11, no. 3, pp. 2782-2796, May-June 2024.

[4] A. Asheralieva, D. Niyato and Y. Miyanaga, “Efficient Dynamic Distributed Resource Slicing in 6G Multi-Access Edge Computing Networks with Online ADMM and Message Passing Graph Neural Networks,” IEEE Transactions on Mobile Computing, Early Access, 2023.

[5] A. Asheralieva, D. Niyato and X. Wei, “Ultra-Reliable Low-Latency Slicing in Space-Air-Ground Multi-Access Edge Computing Networks for Next-Generation Internet of Things and Mobile Applications,” IEEE Internet of Things Journal, Early Access, 2023.

[6] A. Asheralieva and D. Niyato, “Secure and Efficient Coded Multi-Access Edge Computing with Generalized Graph Neural Networks,” IEEE Transactions on Mobile Computing, vol. 22, no. 9, pp. 5504-5524, 2023.

[7] 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, vol. 22, no. 2, pp. 744-764, 2023.

[8] A. Asheralieva and D. Niyato, “Optimizing Age of Information and Security of the Next-Generation Internet of Everything Systems,” IEEE Internet of Things Journal, vol. 9, no. 20, pp. 20331-20351, 2022.

[9] S.A. Moqurrab, N. Tariq, A. Anjum, A. Asheralieva, S. U. Malik, H. Malik, H. Pervaiz, S. S. Gill, “A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing,” Wireless Personal Communications, vol. 30, pp. 1-23, 2022.

[10] A. Asheralieva and D. Niyato, “Fast and Secure Computational Offloading with Lagrange Coded Mobile Edge Computing,” IEEE Transactions on Vehicular Technology, vol. 70, no. 5, pp. 4924-4942, 2021.

[11] A. Asheralieva and D. Niyato, “Throughput-Efficient Lagrange Coded Private Blockchain for Secured IoT Systems,” IEEE Internet of Things Journal, vol. 8, no. 9, pp. 14874-14895, 2021.

[12] 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, 2021.

[13] Z. Kouahla, A.E. Benrazek, M.A. Ferrag, B. Farou, H. Seridi, M. Kurulay, A. Anjum, A. Asheralieva, “A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues,” Future Internet, vol. 14, no. 1, pp. 1-19, 2021.

[14] S. Shakeel, A. Anjum, A. Asheralieva, M. Alam, “k-NDDP: An Efficient Anonymization Model for Social Network Data Release,” Electronics, vol. 8, no. 19, p. 2440, 2021.

[15] 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, vol., 32, no. 8, p. 4180, 2021.

[16] 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, p. 4933, 2021.

[17] 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, vol. 105, no. 102224, 2021.

[18] 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, vol. 10, no. 7, p. 785, 2021.

[19] 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, 2021.

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

[21] 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, 2020.

[22] 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, vol. 7, no. 1, pp. 319-335, 2020.

[23] 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, 2019.

[24] 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, 2019.

[25] 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, 2019.

[26] 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, 2019.

[27] 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, vol. 5, no. 3, pp. 407-425, 2019.

[28] 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, 2018.

[29] 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, 2017.

[30] 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, 2017.

[31] 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, 2016.

[32] 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, 2016.

[33] 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, 2016.

[34] 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, 2016.

[35] 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, 2016.

[36] A. Asheralieva and Y. Miyanaga, “Joint bandwidth and power allocation for LTE-based cognitive radio network based on buffer occupancy", Mobile Information Systems, 2016.

[37] 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, 2015.

[38] 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.

[39] A. Asheralieva and K. Mahata, “A Two-Step Resource Allocation Procedure for LTE-based Cognitive Radio Network,” Computer Networks, vol. 59, pp. 137-152, 2014.

[40] 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)

Conference Papers:

[41] K. Mu, A. Asheralieva, X. Wei and B. Yin, “Separation is Good: A Faster Order-Fairness Byzantine Consensus”, The Network and Distributed System Security Symposium (NDSS), 2024.

[42] W. Ni, S. Zhu, Md. Monjurul Karim, A. Asheralieva, J. Kang, Z. Xiong, C. Maple, “Lagrange Coded Federated Learning (L-CoFL) Model for Internet of Vehicles,”. IEEE International Conference on Distributed Computing Systems (ICDCS), 2022, pp. 864-872.

[43] H. Yang, A. Asheralieva, J. Zhang, M. M. Karim, D. Niyato and K. A. Raza, “User-Centric Blockchain for Industry 5.0 Applications,” IEEE International Conference on Communications (ICC), 2022, pp. 25-30.

[44] S. Zhu, M. M. Karim, A. Asheralieva, D. Niyato, and A. Khuhawar, “Secure Federated Learning Based on Coded Distributed Computing,” IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-7.

[45] W. Ni, A. Asheralieva, C. Maple, M. M. Karim, D. Niyato, and Q. Yang, “Throughput-Efficient Blockchain for Internet-of-Vehicles,” IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6.

[46] M. Rizwan, M.N. Sohail, A. Asheralieva, A. Anjum, and P. Angin, “SAID: ECC-Based Secure Authentication and Incentive Distribution Mechanism for Blockchain-Enabled Data Sharing System,” IEEE International Conference on Blockchain (Blockchain), 2021, pp. 530-537.

[47] K. A. Raza, A. Asheralieva, M. M. Karim, K. Sharif, M. Gheisari and S. Khan, “A Novel Forwarding and Caching Scheme for Information-Centric 

Software-Defined Networks,” International Symposium on Networks, Computers and Communications (ISNCC), 2021, pp. 1-8.

[48] W. Ni, J. Kang, C. Maple, Z. Xiong, and A. Asheralieva, “Fast and Secure Consortium Blockchains with Lightweight Block Verifiers,” International Conference on Blockchain Computing and Applications (BCCA), 2021, pp. 11-18.

[49] 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,” IEEE Madrid PowerTech, 2021, pp. 1-6.

[50] 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,” IEEE Madrid PowerTech, 2021, pp. 1-6.

[51] 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,” IEEE International Computer Symposium (ICS), 2020, pp. 294-299.

[52] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “Speech Recognition using MFCC with Time Varying LPC for Similar Pronunciation Phrases,” IEICE Proceedings Series, 2016.

[53] G. Mufungulwa, A. Asheralieva, H. Tsutsui, Y. Miyanaga, “Robust Speech Recognition using MFCC with Triangular Mel Filtered Time Varying LPC,” IEICE Conferences Archives, 2016.

[54] W. Zhang, A. Asheralieva, Y. Miyanaga, “The Optimum Power Allocation Method in the Uplink of OFDMA System,” IEICE Proceedings Series, 2016.

[55] 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, 2016.

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

[57] A. Asheralieva and K. Mahata, “Delay Aware Resource Allocation for Secondary Users in Cognitive LTE Network,” IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2014, pp. 242-246.

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

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

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

[61] A. Asheralieva, J. Y. Khan and K. Mahata, “Dynamic resource allocation in a LTE/WLAN heterogeneous network,” IEEE International Congress on Ultra-Modern Telecommunications and Control Systems (ICUMT), 2012, pp. 89-95.

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

[63] A. Asheralieva, J. Y. Khan and K. Mahata, “Traffic prediction based packet transmission priority technique in an infrastructure wireless network,” IEEE Wireless Communications and Networking Conference (WNCN), 2011, pp. 404-409.

Wireless Communications and Networking Conference (WNCN), 2011, pp. 404-409.

[64] A. Asheralieva, J. Y. Khan, K. Mahata and E. H. Ong, “A predictive network resource allocation technique for cognitive wireless networks,” International Conference on Signal Processing and Communication Systems (ICSPCS), 2010, pp. 1-9.

[65] A. Asheralieva, T. J. Erke and K. Kilkki, “Traffic characterization and service performance in FON network,” IEEE International Conference on Future Information Networks (ICFIN), 2009, pp. 285-291.