Amir Taherkordi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 71

Top Topics

Semantic Modeling

Resource Allocation

Network Traffic

Top Venues

Comput. Networks

IEEE Internet Things J.

Publications

Mahdieh Rahnemay, Leili Farzinvash, Mina Zolfi, Amir Taherkordi
ECMSH: An Energy-efficient and Cost-effective data harvesting protocol for Mobile Sink-based Heterogeneous WSNs using PSO-TVAC. Ad Hoc Networks 164 (2024)
Song Han, Hui Ma, Amir Taherkordi, Dapeng Lan, Yange Chen
Privacy-preserving data integration scheme in industrial robot system based on fog computing and edge computing. IET Commun. 18 (7) (2024)
Peiyuan Guan, Animesh Dangwal, Amir Taherkordi, Rich Wolski, Chandra Krintz
Energy-Aware IoT Deployment Planning. CF (2024)
Mahsa Motevallian, AM Esfar-E-Alam, Amir Taherkordi, Golnoush Abbasi
Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems. DCOSS-IoT (2024)
Jia Wu, Tingyi Dai, Peiyuan Guan, Su Liu, Fangfang Gou, Amir Taherkordi, Yushuai Li, Tianyi Li
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks. IEEE Internet Things J. 11 (11) (2024)
Su Liu, Yushuai Li, Peiyuan Guan, Tianyi Li, Jiong Yu, Amir Taherkordi, Christian S. Jensen
FedAGL: A Communication-Efficient Federated Vehicular Network. IEEE Trans. Intell. Veh. 9 (2) (2024)
Chunhai Li, Qiyong Chen, Mingfeng Chen, Zhaoyu Su, Yong Ding, Dapeng Lan, Amir Taherkordi
Blockchain enabled task offloading based on edge cooperation in the digital twin vehicular edge network. J. Cloud Comput. 12 (1) (2023)
Xiaoming Yuan, Jiahui Chen, Jiayu Yang, Ning Zhang, Tingting Yang, Tao Han, Amir Taherkordi
FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Édouard Guégain, Amir Taherkordi, Clément Quinton
ICO: A Platform for Optimizing Highly Configurable Systems. ASEW (2023)
Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu, Xiaoming Yuan
Joint Optimization of Service Migration and Resource Management for Vehicular Edge Computing. DCOSS-IoT (2023)
Peini Liu, Jordi Guitart, Amir Taherkordi
Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. CLOUD (2023)
Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi
An adaptive teacher-student learning algorithm with decomposed knowledge distillation for on-edge intelligence. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Édouard Guégain, Amir Taherkordi, Clément Quinton
Configuration Optimization with Limited Functional Impact. CAiSE (2023)
Kan Wang, Xuan Liu, Hongfang Zhou, Dapeng Lan, Zhen Gao, Amir Taherkordi, Yujie Ye, Yuan Gao
Reinforcement learning-based cost-efficient service function chaining with CoMP zero-forcing beamforming in edge networks. Future Gener. Comput. Syst. 141 (2023)
Mohammad-Salar Shahryari, Leili Farzinvash, Mohammad-Reza Feizi-Derakhshi, Amir Taherkordi
High-throughput and energy-efficient data gathering in heterogeneous multi-channel wireless sensor networks using genetic algorithm. Ad Hoc Networks 139 (2023)
Peiyuan Guan, Yushuai Li, Amir Taherkordi
A Prediction Based Resource Reservation Algorithm for Service Handover in Edge Computing. CSCloud/EdgeCom (2023)
Su Liu, Peiyuan Guan, Jiong Yu, Amir Taherkordi
FedSSC: Joint client selection and resource management for communication-efficient federated vehicular networks. Comput. Networks 237 (2023)
Indranil Sarkar, Amir Taherkordi
Enhancing Task Efficiency in Vehicular Fog Computing: Leveraging Mobility Prediction and Min-Max Optimization for Reduced Latency. VTC Fall (2023)
Takahito Yoshizawa, Dave Singelée, Jan Tobias Mühlberg, Stéphane Delbruel, Amir Taherkordi, Danny Hughes, Bart Preneel
A Survey of Security and Privacy Issues in V2X Communication Systems. ACM Comput. Surv. 55 (9) (2023)
Liqing Liu, Xiaoming Yuan, Decheng Chen, Ning Zhang, Haifeng Sun, Amir Taherkordi
Multi-User Dynamic Computation Offloading and Resource Allocation in 5G MEC Heterogeneous Networks With Static and Dynamic Subchannels. IEEE Trans. Veh. Technol. 72 (11) (2023)
Liqing Liu, Xiaoming Yuan, Ning Zhang, Decheng Chen, Keping Yu, Amir Taherkordi
Joint Computation Offloading and Data Caching in Multi-Access Edge Computing Enabled Internet of Vehicles. IEEE Trans. Veh. Technol. 72 (11) (2023)
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut
A comparative study on online machine learning techniques for network traffic streams analysis. Comput. Networks 207 (2022)
Takahito Yoshizawa, Dave Singelée, Jan Tobias Mühlberg, Stéphane Delbruel, Amir Taherkordi, Danny Hughes, Bart Preneel
A Survey of Security and Privacy Issues in V2X Communication Systems. CoRR (2022)
Iraj Lohrasbinasab, Amin Shahraki, Amir Taherkordi, Anca Delia Jurcut
From statistical- to machine learning-based network traffic prediction. Trans. Emerg. Telecommun. Technol. 33 (4) (2022)
Min Zhang, Frank Eliassen, Amir Taherkordi, Hans-Arno Jacobsen, Hwei-Ming Chung, Yan Zhang
Demand-Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain. IEEE Trans. Syst. Man Cybern. Syst. 52 (1) (2022)
Sun Mao, Jinsong Wu, Lei Liu, Dapeng Lan, Amir Taherkordi
Energy-Efficient Cooperative Communication and Computation for Wireless Powered Mobile-Edge Computing. IEEE Syst. J. 16 (1) (2022)
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut
Active Learning for Network Traffic Classification: A Technical Study. IEEE Trans. Cogn. Commun. Netw. 8 (1) (2022)
Majid Sepahvand, Fardin Abdali Mohammadi, Amir Taherkordi
Teacher-student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications. Expert Syst. Appl. 202 (2022)
Magnus Karsten Oplenskedal, Peter Herrmann, Amir Taherkordi
DeepMatch2: A comprehensive deep learning-based approach for in-vehicle presence detection. Inf. Syst. 108 (2022)
Yongpeng Shi, Jinsong Wu, Lei Liu, Dapeng Lan, Amir Taherkordi
Energy-Aware Relay Optimization and Power Allocation in Multiple Unmanned Aerial Vehicles Aided Satellite-Aerial-Terrestrial Networks. IEEE Syst. J. 16 (4) (2022)
Mahmoud Abbasi, Amir Taherkordi, Amin Shahraki
FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification. SMARTCOMP (2022)
Tingting Yang, Jiahong Ning, Dapeng Lan, Jiawei Zhang, Yang Yang, Xudong Wang, Amir Taherkordi
Kubeedge Wireless for Integrated Communication and Computing Services Everywhere. IEEE Wirel. Commun. 29 (2) (2022)
Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu, Stéphane Delbruel, Schahram Dustdar, Yang Yang
Task Partitioning and Orchestration on Heterogeneous Edge Platforms: The Case of Vision Applications. IEEE Internet Things J. 9 (10) (2022)
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut
Active Learning for Network Traffic Classification: A Technical Survey. CoRR (2021)
Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann
ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection. CogMI (2021)
Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech, Valeriy Vyatkin
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. CoRR (2021)
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar
Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. FlexNets@SIGCOMM (2021)
Dapeng Lan, Yu Liu, Amir Taherkordi, Frank Eliassen, Stéphane Delbruel, Lei Liu
A federated fog-cloud framework for data processing and orchestration: a case study in smart cities. SAC (2021)
Amin Shahraki, Amir Taherkordi, Øystein Haugen
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks. Comput. Networks 194 (2021)
Mahmoud Abbasi, Amin Shahraki, Amir Taherkordi
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey. Comput. Commun. 170 (2021)
Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech, Valeriy Vyatkin
Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. ISIE (2021)
Xiaoming Yuan, Zheyu Zhao, Haiyang Wang, Lin Zhang, Amir Taherkordi, Hua Yu
MDMH: An improved multi-attribute decision-making and highest response ratio next-based computation offloading approach for wireless body area networks. Trans. Emerg. Telecommun. Technol. 32 (6) (2021)
Amin Shahraki, Amir Taherkordi, Øystein Haugen, Frank Eliassen
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Mahmoud Abbasi, Amin Shahraki, Md. Jalil Piran, Amir Taherkordi
Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey. Eng. Appl. Artif. Intell. 102 (2021)
Xiaoming Yuan, Hansen Tian, Haiyang Wang, Haoru Su, Jiemin Liu, Amir Taherkordi
Edge-Enabled WBANs for Efficient QoS Provisioning Healthcare Monitoring: A Two-Stage Potential Game-Based Computation Offloading Strategy. IEEE Access 8 (2020)
Ergys Puka, Peter Herrmann, Amir Taherkordi
Hybrid Context-aware Message Flooding for Dead Spot Mitigation in V2I Communication. VTC Fall (2020)
Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu
Deep Reinforcement Learning for Computation Offloading and Caching in Fog-Based Vehicular Networks. MASS (2020)
Amin Shahraki, Amir Taherkordi, Øystein Haugen, Frank Eliassen
Clustering objectives in wireless sensor networks: A survey and research direction analysis. Comput. Networks 180 (2020)
Dapeng Lan, Amir Taherkordi, Frank Eliassen, Zhuang Chen, Lei Liu
Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities. ICA3PP (2) (2020)
Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech
Digital Twins for Manufacturing Using UML and Behavioral Specifications. ETFA (2020)
Magnus Karsten Oplenskedal, Amir Taherkordi, Peter Herrmann
DeepMatch: deep matching for in-vehicle presence detection in transportation. DEBS (2020)
Min Zhang, Frank Eliassen, Amir Taherkordi, Hans-Arno Jacobsen, Hwei-Ming Chung, Yan Zhang
Energy Trading with Demand Response in a Community-based P2P Energy Market. SmartGridComm (2019)
Amir Taherkordi
Session details: Workshop: DFSD. EWSN (2019)
Amir Taherkordi, Frank Eliassen, Michael Mcdonald, Geir Horn
Context-Driven and Real-Time Provisioning of Data-Centric IoT Services in the Cloud. ACM Trans. Internet Techn. 19 (1) (2019)
Leila Shooshtarian, Dapeng Lan, Amir Taherkordi
A Clustering-Based Approach to Efficient Resource Allocation in Fog Computing. I-SPAN (2019)
Thomas Dreibholz, Somnath Mazumdar, Feroz Zahid, Amir Taherkordi, Ernst Gunnar Gran
Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study. PDP (2019)
Dapeng Lan, Zhibo Pang, Carlo Fischione, Yu Liu, Amir Taherkordi, Frank Eliassen
Latency Analysis of Wireless Networks for Proximity Services in Smart Home and Building Automation: The Case of Thread. IEEE Access 7 (2019)
Dapeng Lan, Amir Taherkordi, Frank Eliassen, Geir Horn
A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges. DFSD@Middleware (2019)
Nasir Abbas, Yan Zhang, Amir Taherkordi, Tor Skeie
Mobile Edge Computing: A Survey. IEEE Internet Things J. 5 (1) (2018)
Feroz Zahid, Amir Taherkordi, Ernst Gunnar Gran, Tor Skeie, Bjørn Dag Johnsen
A Self-Adaptive Network for HPC Clouds: Architecture, Framework, and Implementation. IEEE Trans. Parallel Distributed Syst. 29 (12) (2018)
Magnus Karsten Oplenskedal, Peter Herrmann, Jan Olaf Blech, Amir Taherkordi
Simulation-driven Development of Self-adaptive Transportation Systems. NetSoft (2018)
Amir Taherkordi, Peter Herrmann
Pervasive Smart Contracts for Blockchains in IoT Systems. ICBTA (2018)
Amir Taherkordi, Feroz Zahid, Yiannis Verginadis, Geir Horn
Future Cloud Systems Design: Challenges and Research Directions. IEEE Access 6 (2018)
Amir Taherkordi, Frank Eliassen
Data-Centric IoT Services Provisioning in Fog-Cloud Computing Systems: Poster Abstract. IoTDI (2017)
Alexander Svae, Amir Taherkordi, Peter Herrmann, Jan Olaf Blech
Self-adaptive control in cyber-physical systems: the autonomous train experiment. SAC (2017)
Amir Taherkordi, Frank Eliassen, Geir Horn
From IoT big data to IoT big services. SAC (2017)
Huu Tam Tran, Harun Baraki, Ramaprasad Kuppili, Amir Taherkordi, Kurt Geihs
A Notification Management Architecture for Service Co-evolution in the Internet of Things. MESOCA (2016)
Kashif Dar, Amir Taherkordi, Frank Eliassen
Enhancing Dependability of Cloud-Based IoT Services through Virtualization. IoTDI (2016)
Amir Taherkordi, Peter Herrmann, Jan Olaf Blech, Álvaro Férnandez
Service Virtualization for Self-adaptation in Mobile Cyber-Physical Systems. ICSOC Workshops (2016)
Amir Taherkordi, Frank Eliassen
Scalable modeling of cloud-based IoT services for smart cities. PerCom Workshops (2016)
Geir Horn, Frank Eliassen, Amir Taherkordi, Salvatore Venticinque, Beniamino Di Martino, Monika Büscher, Lisa Wood
An architecture for using commodity devices and smart phones in health systems. ISCC (2016)
Amir Taherkordi, Christian Johansen, Frank Eliassen, Kay Römer
Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions. DCOSS (2015)
Amir Taherkordi, Frank Eliassen
Towards Independent In-Cloud Evolution of Cyber-Physical Systems. CPSNA (2014)