| 2026 | CCGRID | PM2Lat: Highly Accurate and Generalized Prediction of DNN Execution Latency on GPUs. | Truong Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha, Peiyuan Guan |
| 2026 | CCGRID | Empirical Analysis of GPU Frequency Behavior Under ML Workloads. | Truong Thanh Le, Hoang-Loc La, Amir Taherkordi, Frank Eliassen, Phuong Hoai Ha, Peiyuan Guan |
| 2026 | INFOCOM | FairMEC: Achieving Fair Resource Sharing in Multi-Access Edge Computing Federations. | Lo Mendiboure, Stphane Delbruel, Tidiane Sylla, Lylia Alouache, Romain Dulout, Secil Ercan, Amir Taherkordi, Marion Berbineau, Laurent Rveillre |
| 2026 | KSEM | Quality-Utility Link: A Framework for Trustworthy LLM-Generated Data in E-Waste Recycling. | Liang Cheng, Amir Taherkordi, Martin Giese, Golnoush Abbasi |
| 2025 | CNSM | A Proactive Performance Prediction Framework for Virtual Network Functions in 5G Networks. | Milad Rafiee, Andrs F. Ocampo, Amir Taherkordi, zg Alay |
| 2025 | ICTAI | Physics-Informed Deep Learning for Wind Downscaling over Oslo. | Jivitesh Sharma, Islen Vallejo, Rune var degrd, Thanh Le, Amir Taherkordi, Frank Eliassen |
| 2024 | CloudCom | Optimal Distribution of ML Models Over Edge for Applications with High Input Frequency. | Truong Thanh Le, Amir Taherkordi, Frank Eliassen, Peiyuan Guan |
| 2024 | DCOSS | Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems. | Mahsa Motevallian, A. M. Esfar-E.-Alam, Amir Taherkordi, Golnoush Abbasi |
| 2024 | GLOBECOM | Context-aware Container Orchestration in Serverless Edge Computing. | Peiyuan Guan, Chen Chen, Ziru Chen, Lin X. Cai, Xing Hao, Amir Taherkordi |
| 2024 | IC2E | FogFLeeT: Fog-Level Federated Transfer Learning for Adaptive Transport Mode Detection. | Mahdieh Kamalian, Amir Taherkordi, Amir H. Payberah, Paulo Ferreira |
| 2024 | ICFEC | AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems. | Emad Hammami, Peiyuan Guan, Amir Taherkordi, Amin Shahraki, Dapeng Lan |
| 2023 | CaiSE | Configuration Optimization with Limited Functional Impact. | douard Gugain, Amir Taherkordi, Clment Quinton |
| 2023 | DCOSS | Joint Optimization of Service Migration and Resource Management for Vehicular Edge Computing. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu, Xiaoming Yuan |
| 2023 | VTC | Enhancing Task Efficiency in Vehicular Fog Computing: Leveraging Mobility Prediction and Min-Max Optimization for Reduced Latency. | Indranil Sarkar, Amir Taherkordi |
| 2022 | SmartComp | FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification. | Mahmoud Abbasi, Amir Taherkordi, Amin Shahraki |
| 2021 | SAC | A federated fog-cloud framework for data processing and orchestration: a case study in smart cities. | Dapeng Lan, Yu Liu, Amir Taherkordi, Frank Eliassen, Stphane Delbruel, Lei Liu |
| 2021 | SIGCOMM | Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. | Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar |
| 2020 | ETFA | Digital Twins for Manufacturing Using UML and Behavioral Specifications. | Mohammad Azangoo, Amir Taherkordi, Jan Olaf Blech |
| 2020 | ICA3PP | Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Zhuang Chen, Lei Liu |
| 2020 | MASS | Deep Reinforcement Learning for Computation Offloading and Caching in Fog-Based Vehicular Networks. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Lei Liu |
| 2020 | VTC | Hybrid Context-aware Message Flooding for Dead Spot Mitigation in V2I Communication. | Ergys Puka, Peter Herrmann, Amir Taherkordi |
| 2019 | EWSN | Session details: Workshop: DFSD. | Amir Taherkordi |
| 2019 | Middleware | A Survey on Fog Programming: Concepts, State-of-the-Art, and Research Challenges. | Dapeng Lan, Amir Taherkordi, Frank Eliassen, Geir Horn |
| 2019 | PDP | Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study. | Thomas Dreibholz, Somnath Mazumdar, Feroz Zahid, Amir Taherkordi, Ernst Gunnar Gran |
| 2018 | NetSoft | Simulation-driven Development of Self-adaptive Transportation Systems. | Magnus Karsten Oplenskedal, Peter Herrmann, Jan Olaf Blech, Amir Taherkordi |
| 2017 | SAC | Self-adaptive control in cyber-physical systems: the autonomous train experiment. | Alexander Svae, Amir Taherkordi, Peter Herrmann, Jan Olaf Blech |
| 2017 | SAC | From IoT big data to IoT big services. | Amir Taherkordi, Frank Eliassen, Geir Horn |
| 2016 | ICSOC | Service Virtualization for Self-adaptation in Mobile Cyber-Physical Systems. | Amir Taherkordi, Peter Herrmann, Jan Olaf Blech, lvaro Fernndez |
| 2016 | ISCC | An architecture for using commodity devices and smart phones in health systems. | Geir Horn, Frank Eliassen, Amir Taherkordi, Salvatore Venticinque, Beniamino Di Martino, Monika Bscher, Lisa Wood |
| 2016 | PERCOM | Scalable modeling of cloud-based IoT services for smart cities. | Amir Taherkordi, Frank Eliassen |
| 2015 | DCOSS | Tokenit: Designing State-Driven Embedded Systems through Tokenized Transitions. | Amir Taherkordi, Christian Johansen, Frank Eliassen, Kay Rmer |