Achieving Availability and Reliability in Wireless Sensor Networks Applications. - Amirhosein Taherkordi; Majid Alkaee Taleghan; Mohsen Sharifi (ARES, 2006)

A Publish-Subscribe Middleware for Real-Time Wireless Sensor Networks. - Mohsen Sharifi; Majid Alkaee Taleghan; Amirhosein Taherkordi (International Conference on Computational Science (1), 2006)

A Middleware Layer Mechanism for QoS Support in Wireless Sensor Networks. - Mohsen Sharifi; Majid Alkaee Taleghan; Amirhosein Taherkordi (ICN/ICONS/MCL, 2006)

Dependability Considerations in Wireless Sensor Networks Applications. - Amirhosein Taherkordi; Majid Alkaee Taleghan; Mohsen Sharifi (J. Networks, 2006)

A Survey of System Software for Wireless Sensor Networks. - Majid Alkaee Taleghan; Amirhosein Taherkordi; Mohsen Sharifi; Tai-Hoon Kim (FGCN (2), 2007)

A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks. - Amirhosein Taherkordi; Reza Mohammadi; Frank Eliassen (AINA Workshops, 2008)

A self-adaptive context processing framework for wireless sensor networks. - Amirhosein Taherkordi; Romain Rouvoy; Quan Le Trung; Frank Eliassen (MidSens, 2008)

Load-balance of intra/inter-MANET traffic over multiple internet gateways. - Quan Le Trung; Paal E. Engelstad; Tor Skeie; Amirhosein Taherkordi (MoMM, 2008)

ReWiSe: A New Component Model for Lightweight Software Reconfiguration in Wireless Sensor Networks. - Amirhosein Taherkordi; Frank Eliassen; Romain Rouvoy; Quan Le Trung (OTM Workshops, 2008)

DCM-Arch: An Architecture for Data, Control, and Management in Wireless Sensor Networks. - Quan Le Trung; Amirhosein Taherkordi; Frank Eliassen; Hai Ngoc Pham; Tor Skeie; Paal E. Engelstad (AINA, 2009)

Information Storage, Reduction and Dissemination in Sensor Networks: A Survey. - Quan Le Trung; Amirhosein Taherkordi; Tor Skeie; Hai Ngoc Pham; Paal E. Engelstad (CCNC, 2009)

WiSeKit: A Distributed Middleware to Support Application-Level Adaptation in Sensor Networks. - Amirhosein Taherkordi; Quan Le Trung; Romain Rouvoy; Frank Eliassen (DAIS, 2009)

Providing internet connectivity and mobility management for MANETs. - Quan Le Trung; Paal E. Engelstad; Vinh Pham; Tor Skeie; Amirhosein Taherkordi; Frank Eliassen (Int. J. Web Inf. Syst., 2009)

RESTful Integration of Heterogeneous Devices in Pervasive Environments. - Daniel Romero 002; Gabriel Hermosillo; Amirhosein Taherkordi; Russel Nzekwa; Romain Rouvoy; Frank Eliassen (DAIS, 2010)

Programming Sensor Networks Using Remora Component Model. - Amirhosein Taherkordi; Frédéric Loiret; Azadeh Abdolrazaghi; Romain Rouvoy; Quan Le Trung; Frank Eliassen (DCOSS, 2010)

An event-driven approach to address reflectivity in sensornets. - Amirhosein Taherkordi; Frank Eliassen (ARM, 2010)

A component-based approach for service distribution in sensor networks. - Amirhosein Taherkordi; Romain Rouvoy; Frank Eliassen (MidSens, 2010)

RESTful Service Development for Resource-Constrained Environments. - Amirhosein Taherkordi; Frank Eliassen; Daniel Romero 002; Romain Rouvoy (REST: From Research to Practice, 2011)

Adaptable service composition for very-large-scale internet of things systems. - Kashif Dar; Amirhosein Taherkordi; Romain Rouvoy; Frank Eliassen (Middleware Doctoral Symposium, 2011)

A Generic Component-Based Approach for Programming, Composing and Tuning Sensor Software. - Amirhosein Taherkordi; Frédéric Loiret; Romain Rouvoy; Frank Eliassen (Comput. J., 2011)

Programming Wireless Sensor Networks: From Static to Adaptive Models. - Amirhosein Taherkordi (2011)

Behavioural design of sensor network applications using activity-driven states. - Amirhosein Taherkordi; Frank Eliassen; Einar Broch Johnsen (SESENA, 2013)

The DigiHome Service-Oriented Platform. - Daniel Romero 002; Gabriel Hermosillo; Amirhosein Taherkordi; Russel Nzekwa; Romain Rouvoy; Frank Eliassen (Softw. Pract. Exp., 2013)

Optimizing sensor network reprogramming via in situ reconfigurable components. - Amirhosein Taherkordi; Frédéric Loiret; Romain Rouvoy; Frank Eliassen (ACM Trans. Sens. Networks, 2013)

Models@run.time for Creating In-Cloud Dynamic Cyber-Physical Ecosystems. - Amirhosein Taherkordi; Frank Eliassen (CloudCom, 2014)

Towards Independent In-Cloud Evolution of Cyber-Physical Systems. - Amir Taherkordi; Frank Eliassen (CPSNA, 2014)

Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions. - Amir Taherkordi; Christian Johansen; Frank Eliassen; Kay Römer (DCOSS, 2015)

A resource oriented integration architecture for the Internet of Things: A business process perspective. - Kashif Dar; Amirhosein Taherkordi; Harun Baraki; Frank Eliassen; Kurt Geihs (Pervasive Mob. Comput., 2015)

Service Virtualization for Self-adaptation in Mobile Cyber-Physical Systems. - Amir Taherkordi; Peter Herrmann; Jan Olaf Blech; Álvaro Fernández 003 (ICSOC Workshops, 2016)

Enhancing Dependability of Cloud-Based IoT Services through Virtualization. - Kashif Dar; Amir Taherkordi; Frank Eliassen (IoTDI, 2016)

An architecture for using commodity devices and smart phones in health systems. - Geir Horn; Frank Eliassen; Amir Taherkordi; Salvatore Venticinque; Beniamino Di Martino; Monika Büscher; Lisa Wood 001 (ISCC, 2016)

A Notification Management Architecture for Service Co-evolution in the Internet of Things. - Huu Tam Tran; Harun Baraki; Ramaprasad Kuppili; Amir Taherkordi; Kurt Geihs (MESOCA, 2016)

Scalable modeling of cloud-based IoT services for smart cities. - Amir Taherkordi; Frank Eliassen (PerCom Workshops, 2016)

Data-Centric IoT Services Provisioning in Fog-Cloud Computing Systems: Poster Abstract. - Amir Taherkordi; Frank Eliassen (IoTDI, 2017)

Self-adaptive control in cyber-physical systems: the autonomous train experiment. - Alexander Svae; Amir Taherkordi; Peter Herrmann; Jan Olaf Blech (SAC, 2017)

From IoT big data to IoT big services. - Amir Taherkordi; Frank Eliassen; Geir Horn (SAC, 2017)

Pervasive Smart Contracts for Blockchains in IoT Systems. - Amir Taherkordi; Peter Herrmann (ICBTA, 2018)

Simulation-driven Development of Self-adaptive Transportation Systems. - Magnus Karsten Oplenskedal; Peter Herrmann; Jan Olaf Blech; Amir Taherkordi (NetSoft, 2018)

Future Cloud Systems Design: Challenges and Research Directions. - Amir Taherkordi; Feroz Zahid; Yiannis Verginadis; Geir Horn (IEEE Access, 2018)

Mobile Edge Computing: A Survey. - Nasir Abbas; Yan Zhang 002; Amir Taherkordi; Tor Skeie (IEEE Internet Things J., 2018)

A Self-Adaptive Network for HPC Clouds: Architecture, Framework, and Implementation. - Feroz Zahid; Amir Taherkordi; Ernst Gunnar Gran; Tor Skeie; Bjørn Dag Johnsen (IEEE Trans. Parallel Distributed Syst., 2018)

Session details: Workshop: DFSD. - Amir Taherkordi (EWSN, 2019)

A Clustering-Based Approach to Efficient Resource Allocation in Fog Computing. - Leila Shooshtarian; Dapeng Lan; Amir Taherkordi (I-SPAN, 2019)

Automated Product Localization Through Mobile Data Analysis. - Magnus Karsten Oplenskedal; Amirhosein Taherkordi; Peter Herrmann (MDM, 2019)

A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges. - Dapeng Lan; Amir Taherkordi; Frank Eliassen; Geir Horn (DFSD@Middleware, 2019)

Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study. - Thomas Dreibholz; Somnath Mazumdar; Feroz Zahid; Amir Taherkordi; Ernst Gunnar Gran (PDP, 2019)

Energy Trading with Demand Response in a Community-based P2P Energy Market. - Min Zhang 058; Frank Eliassen; Amir Taherkordi; Hans-Arno Jacobsen; Hwei-Ming Chung; Yan Zhang 002 (SmartGridComm, 2019)

Latency Analysis of Wireless Networks for Proximity Services in Smart Home and Building Automation: The Case of Thread. - Dapeng Lan; Zhibo Pang; Carlo Fischione; Yu Liu 011; Amir Taherkordi; Frank Eliassen (IEEE Access, 2019)

Context-Driven and Real-Time Provisioning of Data-Centric IoT Services in the Cloud. - Amir Taherkordi; Frank Eliassen; Michael Mcdonald; Geir Horn (ACM Trans. Internet Techn., 2019)

DeepMatch: deep matching for in-vehicle presence detection in transportation. - Magnus Karsten Oplenskedal; Amir Taherkordi; Peter Herrmann (DEBS, 2020)

Digital Twins for Manufacturing Using UML and Behavioral Specifications. - Mohammad Azangoo; Amir Taherkordi; Jan Olaf Blech (ETFA, 2020)

Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities. - Dapeng Lan; Amir Taherkordi; Frank Eliassen; Zhuang Chen 001; Lei Liu 031 (ICA3PP (2), 2020)

Deep Reinforcement Learning for Computation Offloading and Caching in Fog-Based Vehicular Networks. - Dapeng Lan; Amir Taherkordi; Frank Eliassen; Lei Liu 031 (MASS, 2020)

Hybrid Context-aware Message Flooding for Dead Spot Mitigation in V2I Communication. - Ergys Puka; Peter Herrmann; Amir Taherkordi (VTC Fall, 2020)

Edge-Enabled WBANs for Efficient QoS Provisioning Healthcare Monitoring: A Two-Stage Potential Game-Based Computation Offloading Strategy. - Xiaoming Yuan 002; Hansen Tian; Haiyang Wang; Haoru Su; Jiemin Liu; Amir Taherkordi (IEEE Access, 2020)

Clustering objectives in wireless sensor networks: A survey and research direction analysis. - Amin Shahraki; Amir Taherkordi; Øystein Haugen; Frank Eliassen (Comput. Networks, 2020)

ATARAXIS: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection. - Magnus Karsten Oplenskedal; Amir Taherkordi; Peter Herrmann (CogMI, 2021)

Digital Twin-Assisted Controlling of AGVs in Flexible Manufacturing Environments. - Mohammad Azangoo; Amir Taherkordi; Jan Olaf Blech; Valeriy Vyatkin (ISIE, 2021)

A federated fog-cloud framework for data processing and orchestration: a case study in smart cities. - Dapeng Lan; Yu Liu 011; Amir Taherkordi; Frank Eliassen; Stéphane Delbruel; Lei Liu 031 (SAC, 2021)

Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. - Amin Shahraki; Mahmoud Abbasi; Amir Taherkordi; Mohammed Kaosar (FlexNets@SIGCOMM, 2021)

TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks. - Amin Shahraki; Amir Taherkordi; Øystein Haugen (Comput. Networks, 2021)

Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey. - Mahmoud Abbasi; Amin Shahraki; Amir Taherkordi (Comput. Commun., 2021)

Active Learning for Network Traffic Classification: A Technical Survey. - Amin Shahraki; Mahmoud Abbasi; Amir Taherkordi; Anca Delia Jurcut (CoRR, 2021)

Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey. - Mahmoud Abbasi; Amin Shahraki; Md. Jalil Piran; Amir Taherkordi (Eng. Appl. Artif. Intell., 2021)

MDMH: An improved multi-attribute decision-making and highest response ratio next-based computation offloading approach for wireless body area networks. - Xiaoming Yuan 002; Zheyu Zhao; Haiyang Wang; Lin Zhang 014; Amir Taherkordi; Hua Yu 002 (Trans. Emerg. Telecommun. Technol., 2021)

A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms. - Amin Shahraki; Amir Taherkordi; Øystein Haugen; Frank Eliassen (IEEE Trans. Netw. Serv. Manag., 2021)

FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification. - Mahmoud Abbasi; Amir Taherkordi; Amin Shahraki (SMARTCOMP, 2022)

A comparative study on online machine learning techniques for network traffic streams analysis. - Amin Shahraki; Mahmoud Abbasi; Amir Taherkordi; Anca Delia Jurcut (Comput. Networks, 2022)

Teacher-student knowledge distillation based on decomposed deep feature representation for intelligent mobile applications. - Majid Sepahvand; Fardin Abdali Mohammadi; Amir Taherkordi (Expert Syst. Appl., 2022)

From statistical- to machine learning-based network traffic prediction. - Iraj Lohrasbinasab; Amin Shahraki; Amir Taherkordi; Anca Delia Jurcut (Trans. Emerg. Telecommun. Technol., 2022)

Task Partitioning and Orchestration on Heterogeneous Edge Platforms: The Case of Vision Applications. - Dapeng Lan; Amir Taherkordi; Frank Eliassen; Lei Liu 031; Stéphane Delbruel; Schahram Dustdar; Yang Yang 001 (IEEE Internet Things J., 2022)

DeepMatch2: A comprehensive deep learning-based approach for in-vehicle presence detection. - Magnus Karsten Oplenskedal; Peter Herrmann; Amir Taherkordi (Inf. Syst., 2022)

Energy-Efficient Cooperative Communication and Computation for Wireless Powered Mobile-Edge Computing. - Sun Mao; Jinsong Wu 001; Lei Liu 031; Dapeng Lan; Amir Taherkordi (IEEE Syst. J., 2022)

Energy-Aware Relay Optimization and Power Allocation in Multiple Unmanned Aerial Vehicles Aided Satellite-Aerial-Terrestrial Networks. - Yongpeng Shi; Jinsong Wu 001; Lei Liu 031; Dapeng Lan; Amir Taherkordi (IEEE Syst. J., 2022)

Active Learning for Network Traffic Classification: A Technical Study. - Amin Shahraki; Mahmoud Abbasi; Amir Taherkordi; Anca Delia Jurcut (IEEE Trans. Cogn. Commun. Netw., 2022)

Demand-Response Games for Peer-to-Peer Energy Trading With the Hyperledger Blockchain. - Min Zhang 058; Frank Eliassen; Amir Taherkordi; Hans-Arno Jacobsen; Hwei-Ming Chung; Yan Zhang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Kubeedge Wireless for Integrated Communication and Computing Services Everywhere. - Tingting Yang 001; Jiahong Ning; Dapeng Lan; Jiawei Zhang; Yang Yang 001; Xudong Wang 001; Amir Taherkordi (IEEE Wirel. Commun., 2022)

Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. - Peini Liu; Jordi Guitart; Amir Taherkordi (CLOUD, 2023)

Configuration Optimization with Limited Functional Impact. - Édouard Guégain; Amir Taherkordi; Clément Quinton (CAiSE, 2023)

A Prediction Based Resource Reservation Algorithm for Service Handover in Edge Computing. - Peiyuan Guan; Yushuai Li; Amir Taherkordi (CSCloud/EdgeCom, 2023)

Joint Optimization of Service Migration and Resource Management for Vehicular Edge Computing. - Dapeng Lan; Amir Taherkordi; Frank Eliassen; Lei Liu 031; Xiaoming Yuan 002 (DCOSS-IoT, 2023)

ICO: A Platform for Optimizing Highly Configurable Systems. - Édouard Guégain; Amir Taherkordi; Clément Quinton (ASEW, 2023)

Enhancing Task Efficiency in Vehicular Fog Computing: Leveraging Mobility Prediction and Min-Max Optimization for Reduced Latency. - Indranil Sarkar; Amir Taherkordi (VTC Fall, 2023)

High-throughput and energy-efficient data gathering in heterogeneous multi-channel wireless sensor networks using genetic algorithm. - Mohammad-Salar Shahryari; Leili Farzinvash; Mohammad-Reza Feizi-Derakhshi; Amir Taherkordi (Ad Hoc Networks, 2023)

A Survey of Security and Privacy Issues in V2X Communication Systems. - Takahito Yoshizawa; Dave Singelée; Jan Tobias Mühlberg; Stéphane Delbruel; Amir Taherkordi; Danny Hughes 001; Bart Preneel (ACM Comput. Surv., 2023)

An adaptive teacher-student learning algorithm with decomposed knowledge distillation for on-edge intelligence. - Majid Sepahvand; Fardin Abdali Mohammadi; Amir Taherkordi (Eng. Appl. Artif. Intell., 2023)

Lightweight Federated Learning for Large-Scale IoT Devices With Privacy Guarantee. - Zhaohui Wei; Qingqi Pei; Ning Zhang 007; Xuefeng Liu 002; Celimuge Wu; Amirhosein Taherkordi (IEEE Internet Things J., 2023)

Mobility-Aware Multi-Hop Task Offloading for Autonomous Driving in Vehicular Edge Computing and Networks. - Lei Liu 031; Ming Zhao; Miao Yu 006; Mian Ahmad Jan; Dapeng Lan; Amirhosein Taherkordi (IEEE Trans. Intell. Transp. Syst., 2023)

Reinforcement learning-based cost-efficient service function chaining with CoMP zero-forcing beamforming in edge networks. - Kan Wang; Xuan Liu; Hongfang Zhou; Dapeng Lan; Zhen Gao; Amir Taherkordi; Yujie Ye; Yuan Gao (Future Gener. Comput. Syst., 2023)

FedSTN: Graph Representation Driven Federated Learning for Edge Computing Enabled Urban Traffic Flow Prediction. - Xiaoming Yuan 002; Jiahui Chen; Jiayu Yang; Ning Zhang 007; Tingting Yang 001; Tao Han 002; Amir Taherkordi (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-User Dynamic Computation Offloading and Resource Allocation in 5G MEC Heterogeneous Networks With Static and Dynamic Subchannels. - Liqing Liu; Xiaoming Yuan 002; Decheng Chen; Ning Zhang 007; Haifeng Sun 003; Amir Taherkordi (IEEE Trans. Veh. Technol., 2023)

Joint Computation Offloading and Data Caching in Multi-Access Edge Computing Enabled Internet of Vehicles. - Liqing Liu; Xiaoming Yuan 002; Ning Zhang 007; Decheng Chen; Keping Yu; Amir Taherkordi (IEEE Trans. Veh. Technol., 2023)

FedSSC: Joint client selection and resource management for communication-efficient federated vehicular networks. - Su Liu; Peiyuan Guan; Jiong Yu; Amir Taherkordi (Comput. Networks, 2023)

Blockchain enabled task offloading based on edge cooperation in the digital twin vehicular edge network. - Chunhai Li; Qiyong Chen; Mingfeng Chen; Zhaoyu Su; Yong Ding 005; Dapeng Lan; Amir Taherkordi (J. Cloud Comput., 2023)

Energy-Aware IoT Deployment Planning. - Peiyuan Guan; Animesh Dangwal; Amir Taherkordi; Rich Wolski; Chandra Krintz (CF, 2024)

Optimal Distribution of ML Models Over Edge for Applications with High Input Frequency. - Truong Thanh Le; Amir Taherkordi; Frank Eliassen; Peiyuan Guan (CloudCom, 2024)

Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems. - Mahsa Motevallian; A. M. Esfar-E.-Alam; Amir Taherkordi; Golnoush Abbasi (DCOSS-IoT, 2024)

Cross Network Layer Cognitive Service Orchestration in Edge Computing Systems. - Milad Rafiee; Amir Taherkordi; Özgü Alay (EDGE, 2024)

TeLeGaIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection. - Mahdieh Kamalian; Amir Taherkordi; Paulo Ferreira 001 (FMEC, 2024)

Context-aware Container Orchestration in Serverless Edge Computing. - Peiyuan Guan; Chen Chen 073; Ziru Chen; Lin X. Cai; Xing Hao; Amir Taherkordi (GLOBECOM, 2024)

FogFLeeT: Fog-Level Federated Transfer Learning for Adaptive Transport Mode Detection. - Mahdieh Kamalian; Amir Taherkordi; Amir H. Payberah; Paulo Ferreira 001 (IC2E, 2024)

AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems. - Emad Hammami; Peiyuan Guan; Amir Taherkordi; Amin Shahraki; Dapeng Lan (ICFEC, 2024)

ECMSH: An Energy-efficient and Cost-effective data harvesting protocol for Mobile Sink-based Heterogeneous WSNs using PSO-TVAC. - Mahdieh Rahnemay; Leili Farzinvash; Mina Zolfi; Amir Taherkordi (Ad Hoc Networks, 2024)

Variational autoencoder-based neural network model compression. - Liang Cheng; Peiyuan Guan; Amir Taherkordi; Lei Liu 031; Dapeng Lan (CoRR, 2024)

Guest Editorial Introduction to the Special Section on Next-Generation Traffic Measurement With Network-Wide Perspective and Artificial Intelligence. - He Huang 001; Shigang Chen; Ran Ben Basat; Haipeng Dai 001; Amirhosein Taherkordi; Jun Xu 014 (IEEE Trans. Netw. Sci. Eng., 2024)

FedAGL: A Communication-Efficient Federated Vehicular Network. - Su Liu; Yushuai Li; Peiyuan Guan; Tianyi Li 005; Jiong Yu; Amir Taherkordi; Christian S. Jensen (IEEE Trans. Intell. Veh., 2024)

Privacy-preserving data integration scheme in industrial robot system based on fog computing and edge computing. - Song Han; Hui Ma; Amir Taherkordi; Dapeng Lan; Yange Chen (IET Commun., 2024)

FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks. - Jia Wu 002; Tingyi Dai; Peiyuan Guan; Su Liu; Fangfang Gou; Amir Taherkordi; Yushuai Li; Tianyi Li 005 (IEEE Internet Things J., 2024)

eU2U: Energy-Efficient Wireless Charging and Trajectory Design for IoT Data Collection. - Qixia Zhang; Amir Taherkordi; Phuong Hoai Ha (CCNC, 2025)

Accurate Measurements of Methane, Carbon Dioxide for Arctic and Wetland Conditions using NDIR Technology and AI-based Calibration. - Huy Duong Gia; Amir Taherkordi; Hoai-Phuong Ha; Benoit Wastine; Bakhram Gaynullin; Federico Dallo; Tuan-Vu Cao (I2MTC, 2025)

Synthetic Textual Data Generation: A Few-Shot Learning-Based Approach for DPPs with Novel Metrics. - A. M. Esfar-E.-Alam; Amir Taherkordi (ICPS, 2025)

Class Imbalance in Network Traffic Classification: An Adaptive Weight Ensemble-of-Ensemble Learning Method. - Mahmoud Abbasi; Sebastián López Flórez; Amin Shahraki; Amir Taherkordi; Javier Prieto 001; Juan M. Corchado (IEEE Access, 2025)

Opportunistic routing for mobile edge computing: A community detected and task priority aware approach. - Jia Wu 002; Tingyi Dai; Peiyuan Guan; Ziru Chen; Fangfang Gou; Amir Taherkordi (Comput. Networks, 2025)

Cost Optimization for Serverless Edge Computing with Budget Constraints using Deep Reinforcement Learning. - Chen Chen 073; Peiyuan Guan; Ziru Chen; Amir Taherkordi; Fen Hou; Lin X. Cai (CoRR, 2025)

Compresso: Latency-Aware Transmission of Compressed IoT Measurement Data Over SDN. - Wendi Feng; Xintan Dou; Amir Taherkordi; Bo Cheng 001; Wei Zhang (IEEE Internet Things J., 2025)

Self-Determination Theory and Deep Reinforcement Learning for Personalized Energy Trading in Smart Grid. - Min Zhang 058; Frank Eliassen; Amir Taherkordi; Hans-Arno Jacobsen; Yushuai Li; Yan Zhang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2025)