| A survey of indoor localization systems and technologies F Zafari, A Gkelias, KK Leung IEEE Communications Surveys & Tutorials 21 (3), 2568-2599, 2019 | 2637 | 2019 |
| Microlocation for internet-of-things-equipped smart buildings F Zafari, I Papapanagiotou, K Christidis IEEE Internet of Things Journal 3 (1), 96-112, 2015 | 258 | 2015 |
| Predicting network attack patterns in SDN using machine learning approach S Nanda, F Zafari, C DeCusatis, E Wedaa, B Yang 2016 IEEE Conference on Network Function Virtualization and Software Defined …, 2016 | 225 | 2016 |
| A survey of intelligent car parking system Faheem, SA Mahmud, GM Khan, M Rahman, H Zafar Journal of applied research and technology 11 (5), 714-726, 2013 | 214 | 2013 |
| Enhancing ibeacon based micro-location with particle filtering F Zafari, I Papapanagiotou 2015 IEEE Global Communications Conference (GLOBECOM), 1-7, 2015 | 109 | 2015 |
| An ibeacon based proximity and indoor localization system F Zafari, I Papapanagiotou, M Devetsikiotis, T Hacker arXiv preprint arXiv:1703.07876, 2017 | 98 | 2017 |
| Enhancing the accuracy of ibeacons for indoor proximity-based services F Zafari, I Papapanagiotou, M Devetsikiotis, TJ Hacker 2017 IEEE International Conference on Communications (ICC), 1-7, 2017 | 48 | 2017 |
| A novel Bayesian filtering based algorithm for RSSI-based indoor localization F Zafari, I Papapanagiotou, TJ Hacker IEEE International Conference on Communications (ICC) 2018, 2018 | 33 | 2018 |
| Very short term load forecasting using Cartesian genetic programming evolved recurrent neural networks (CGPRNN) GM Khan, F Zafari, SA Mahmud 2013 12th International Conference on Machine Learning and Applications 2 …, 2013 | 30 | 2013 |
| Electrical load forecasting using fast learning recurrent neural networks GM Khan, AR Khattak, F Zafari, SA Mahmud The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013 | 23 | 2013 |
| Optimizing timer-based policies for general cache networks NK Panigrahy, J Li, F Zafari, D Towsley, P Yu arXiv preprint arXiv:1711.03941, 2017 | 22* | 2017 |
| A game-theoretic approach to multi-objective resource sharing and allocation in mobile edge F Zafari, J Li, KK Leung, D Towsley, A Swami Proceedings of the 2018 on Technologies for the Wireless Edge Workshop, 9-13, 2018 | 19 | 2018 |
| Optimal energy consumption for communication, computation, caching, and quality guarantee F Zafari, J Li, KK Leung, D Towsley, A Swami IEEE Transactions on Control of Network Systems 7 (1), 151-162, 2019 | 17* | 2019 |
| Let’s share: A game-theoretic framework for resource sharing in mobile edge clouds F Zafari, KK Leung, D Towsley, P Basu, A Swami, J Li IEEE Transactions on Network and Service Management 18 (2), 2107-2122, 2020 | 16 | 2020 |
| Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads GM Khan, F Zafari Genetic Programming and Evolvable Machines 17, 391-408, 2016 | 12 | 2016 |
| Evolving recurrent neural network using cartesian genetic programming to predict the trend in foreign currency exchange rates F Zafari, GM Khan, M Rehman, S Ali Mahmud Applied Artificial Intelligence 28 (6), 597-628, 2014 | 12 | 2014 |
| Future clients' requests estimation for dynamic resource allocation in cloud data center using cgpann J Ali, F Zafari, GM Khan, SA Mahmud 2013 12th International Conference on Machine Learning and Applications 2 …, 2013 | 12 | 2013 |
| A game-theoretic framework for resource sharing in clouds F Zafari, KK Leung, D Towsley, P Basu, A Swami 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC), 8-15, 2019 | 10 | 2019 |
| Resource sharing in the edge: A distributed bargaining-theoretic approach F Zafari, P Basu, KK Leung, J Li, D Towsley, A Swami IEEE Transactions on Network and Service Management 20 (4), 4369-4382, 2023 | 7 | 2023 |
| Multi-Objective Optimization F Zafari, J Li | 6 | 2018 |
Kin K. LeungTanaka Chair Professor, Imperial CollegeEmail verificata su imperial.ac.uk
