Distributed intercell coordination through time reuse partitioning in downlink CDMA. - Amir Ghasemi; Elvino S. Sousa (WCNC, 2004)

Jointly optimal base station assignment for up- and downlink CDMA through space division duplex. - Amir Ghasemi; Elvino S. Sousa (WCNC, 2004)

Capacity of Fading Channels Under Spectrum-Sharing Constraints. - Amir Ghasemi; Elvino S. Sousa (ICC, 2006)

Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access. - Amir Ghasemi; Elvino S. Sousa (VTC Fall, 2006)

Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks. - Amir Ghasemi; Elvino S. Sousa (CCNC, 2007)

Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing. - Amir Ghasemi; Elvino S. Sousa (IEEE Commun. Lett., 2007)

Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing. - Amir Ghasemi; Elvino S. Sousa (J. Commun., 2007)

Fundamental limits of spectrum-sharing in fading environments. - Amir Ghasemi; Elvino S. Sousa (IEEE Trans. Wirel. Commun., 2007)

Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff. - Amir Ghasemi; Elvino S. Sousa (Wirel. Commun. Mob. Comput., 2007)

Statistical characterization of interference in cognitive radio networks. - Amir Ghasemi (PIMRC, 2008)

Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs. - Amir Ghasemi; Elvino S. Sousa (IEEE Commun. Mag., 2008)

Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks. - Amir Ghasemi; Elvino Silveira Sousa (IEEE J. Sel. Top. Signal Process., 2008)

Interference characteristics in power-controlled cognitive radio networks. - Amir Ghasemi (CrownCom, 2010)

Impact of directive handset antennas on the performance of outdoor-to-indoor MIMO systems. - Amir Ghasemi; Amir Ali Basri; John Sydor (IWCMC, 2011)

Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset. - Amir Ali Basri; Amir Ghasemi; John Sydor (VTC Spring, 2011)

Dynamic Channel Selection in cognitive radio WiFi networks: An experimental evaluation. - Jeremy Mack; Saeed Gazor; Amir Ghasemi; John Sydor (ICC Workshops, 2014)

A New Bi-objective Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach. - Kaveh Khalili Damghani; Amir-Reza Abtahi; Amir Ghasemi (J. Math. Model. Algorithms Oper. Res., 2015)

Spectrum sharing opportunities in land mobile radio bands: A data-driven approach. - Humphrey Rutagemwa; Kareem E. Baddour; Amir Ghasemi (PIMRC, 2017)

Predictive Modeling of LTE User Throughput Via Crowd-Sourced Mobile Spectrum Data. - Amir Ghasemi (DySPAN, 2018)

Data-Driven Prediction of Cellular Networks Coverage: An Interpretable Machine-Learning Model. - Amir Ghasemi (GlobalSIP, 2018)

Dynamic Spectrum Assignment for Land Mobile Radio with Deep Recurrent Neural Networks. - Humphrey Rutagemwa; Amir Ghasemi; Shuo Liu (ICC Workshops, 2018)

Spectrum Occupancy Prediction for Land Mobile Radio Bands Using a Recommender System. - Kareem E. Baddour; Amir Ghasemi; Humphrey Rutagemwa (VTC Fall, 2018)

Implementing a New Genetic Algorithm to solve the Capacity Allocation Problem in the photolithography Area. - Amir Ghasemi; Cathal Heavey; Kamil Erkan Kabak (WSC, 2018)

A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems. - Amir Ghasemi; Cathal Heavey; Georg Laipple (WSC, 2018)

Spectrum Sensing for Modulated Radio Signals Using Deep Temporal Convolutional Networks. - Amir Ghasemi; Chaitanya Parekh; Paul Guinand (WCNC Workshops, 2019)

IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process. - Li Li 009; Amir Ghasemi (IEEE Internet Things J., 2019)

Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions. - Zahra Dehghani Arani; Seyed Abbas Taher; Amir Ghasemi; Mohammad Shahidehpour (IEEE Trans. Smart Grid, 2019)

DeepAir: Predicting Radio Spectrum Usage at Scale with Deep Temporal Convolutional Networks. - Amir Ghasemi; Janaki Parekh (ICC Workshops, 2021)

Deep Learning based Localization of LTE eNodeBs from Large Crowdsourced Smartphone Datasets. - Amir Ghasemi; Janaki Parekh (VTC Spring, 2021)

An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments - Case: A Photolithography Workstation. - Amir Ghasemi; Cathal Heavey (WSC, 2021)

Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems. - Amir Ghasemi; Amir Ashoori; Cathal Heavey (Appl. Soft Comput., 2021)

Enabling Universal Connectivity via Data-Driven Policymaking: A North American Case Study. - Janaki Parekh; Chaitanya Parekh; Amir Ghasemi (IEEE Commun. Mag., 2021)

Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling. - Amir Ghasemi; Kamil Erkan Kabak; Cathal Heavey (WSC, 2022)

Data-Driven Modelling of Mobile Network Demand for Efficient Spectrum Management. - Janaki Parekh; Amir Ghasemi; Halim Yanikomeroglu (PIMRC, 2023)

Leveraging Geospatial Data to Improve Spectrum Sharing in Mid-Band. - Colin Brown; Amir Ghasemi (WCNC, 2023)

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 (WSC, 2023)

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges. - Colin Brown; Amir Ghasemi (IEEE Access, 2023)

Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans. - Amir Ghasemi; Fatemeh Mottaghian; Akram Bayat (CoRR, 2023)

Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic. - Mohammad Parvini; Amir Hossein Zarif; Ali Nouruzi; Nader Mokari; Mohammad Reza Javan; Bijan Abbasi; Amir Ghasemi; Halim Yanikomeroglu (IEEE Open J. Commun. Soc., 2023)

DeepAir: Enabling Data-Driven Dynamic Spectrum Sharing via Scalable Forecasting. - Amir Ghasemi; Janaki Parekh (IEEE Trans. Cogn. Commun. Netw., 2023)

Informing Wireless Spectrum Policy-Making via Crowdsourced Data-Driven Insights: A Case Study. - Amir Ghasemi; Janaki Parekh (DySPAN, 2024)

Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand. - Mohamad Alkadamani; Amir Ghasemi; Halim Yanikomeroglu (VTC Fall, 2024)

DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning. - Janaki Parekh; Amir Ghasemi; Halim Yanikomeroglu (VTC Fall, 2024)

Supply Chain Digital Twin Framework for Hybrid Manufacturing Strategy Selection: A Case Study from the Semiconductor Industry. - Amir Ghasemi; Sanja Lazarova-Molnar; Cathal Heavey (WSC, 2024)

A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems. - Erfan Nejati; Ensieh Ghaedy-Heidary; Amir Ghasemi; S. Ali Torabi (Comput. Ind. Eng., 2024)

Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs). - Amir Ghasemi; Paul Guinand (CoRR, 2024)

Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap. - Amir Ghasemi; Fatemeh Farajzadeh; Cathal Heavey; John Fowler; Chrissoleon T. Papadopoulos (J. Ind. Inf. Integr., 2024)

A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems - Case: Semiconductor manufacturing. - Ensieh Ghaedy-Heidary; Erfan Nejati; Amir Ghasemi; S. Ali Torabi (Comput. Oper. Res., 2024)

Empowering Future Spectrum Management and Regulation With Large Language Models. - Humphrey Rutagemwa; Amir Ghasemi; Paul Guinand (IEEE Intell. Syst., 2025)

Modeling Local Demand for Mobile Spectrum: An Interpretable Machine Learning Approach. - Janaki Parekh; Elizabeth Yackoboski; Amir Ghasemi; Halim Yanikomeroglu (IEEE Open J. Commun. Soc., 2025)