| 2025 | GLOBECOM | A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks. | Mohamad Alkadamani, Halim Yanikomeroglu, Amir Ghasemi |
| 2025 | PIMRC | Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning. | Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin, Trevor Ha, Halim Yanikomeroglu, Amir Ghasemi |
| 2024 | VTC | Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand. | Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu |
| 2024 | VTC | DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning. | Janaki Parekh, Amir Ghasemi, Halim Yanikomeroglu |
| 2024 | WSC | Supply Chain Digital Twin Framework for Hybrid Manufacturing Strategy Selection: A Case Study from the Semiconductor Industry. | Amir Ghasemi, Sanja Lazarova-Molnar, Cathal Heavey |
| 2023 | PIMRC | Data-Driven Modelling of Mobile Network Demand for Efficient Spectrum Management. | Janaki Parekh, Amir Ghasemi, Halim Yanikomeroglu |
| 2023 | WCNC | Leveraging Geospatial Data to Improve Spectrum Sharing in Mid-Band. | Colin Brown, Amir Ghasemi |
| 2023 | WSC | Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment. | Amir Ghasemi, Yavar Taheri Yeganeh, Andrea Matta, Kamil Erkan Kabak, Cathal Heavey |
| 2022 | WSC | Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling. | Amir Ghasemi, Kamil Erkan Kabak, Cathal Heavey |
| 2021 | VTC | Deep Learning based Localization of LTE eNodeBs from Large Crowdsourced Smartphone Datasets. | Amir Ghasemi, Janaki Parekh |
| 2021 | WSC | An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments - Case: A Photolithography Workstation. | Amir Ghasemi, Cathal Heavey |
| 2019 | WCNC | Spectrum Sensing for Modulated Radio Signals Using Deep Temporal Convolutional Networks. | Amir Ghasemi, Chaitanya Parekh, Paul Guinand |
| 2018 | VTC | Spectrum Occupancy Prediction for Land Mobile Radio Bands Using a Recommender System. | Kareem E. Baddour, Amir Ghasemi, Humphrey Rutagemwa |
| 2018 | WSC | Implementing a New Genetic Algorithm to solve the Capacity Allocation Problem in the photolithography Area. | Amir Ghasemi, Cathal Heavey, Kamil Erkan Kabak |
| 2018 | WSC | A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems. | Amir Ghasemi, Cathal Heavey, Georg Laipple |
| 2017 | PIMRC | Spectrum sharing opportunities in land mobile radio bands: A data-driven approach. | Humphrey Rutagemwa, Kareem E. Baddour, Amir Ghasemi |
| 2011 | IWCMC | Impact of directive handset antennas on the performance of outdoor-to-indoor MIMO systems. | Amir Ghasemi, Amir Ali Basri, John Sydor |
| 2011 | VTC | Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset. | Amir Ali Basri, Amir Ghasemi, John Sydor |
| 2008 | PIMRC | Statistical characterization of interference in cognitive radio networks. | Amir Ghasemi |
| 2006 | VTC | Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access. | Amir Ghasemi, Elvino S. Sousa |
| 2004 | WCNC | Distributed intercell coordination through time reuse partitioning in downlink CDMA. | Amir Ghasemi, Elvino S. Sousa |
| 2004 | WCNC | Jointly optimal base station assignment for up- and downlink CDMA through space division duplex. | Amir Ghasemi, Elvino S. Sousa |