Amir Ghasemi - RankMe

57 papers B 9Misc 6Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks. CoRR Mohamad Alkadamani, Halim Yanikomeroglu, Amir Ghasemi
2026	J	`jnl`	Circular marine supply chain network design. Comput. Ind. Eng. Amin Feizi, S. Ali Torabi, Amir Ghasemi
2026	J	`jnl`	Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand. CoRR Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
2026	J	`jnl`	Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks. CoRR Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
2025	B	`conf`	A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks. GLOBECOM Mohamad Alkadamani, Halim Yanikomeroglu, Amir Ghasemi
2025	B	`conf`	Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning. PIMRC Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin, Trevor Ha, Halim Yanikomeroglu, Amir Ghasemi
2025	J	`jnl`	Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning. CoRR Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin, Trevor Ha, Halim Yanikomeroglu, Amir Ghasemi
2025	J	`jnl`	Empowering Future Spectrum Management and Regulation With Large Language Models. IEEE Intell. Syst. Humphrey Rutagemwa, Amir Ghasemi, Paul Guinand
2025	J	`jnl`	Modeling Local Demand for Mobile Spectrum: An Interpretable Machine Learning Approach. IEEE Open J. Commun. Soc. Janaki Parekh, Elizabeth Yackoboski, Amir Ghasemi, Halim Yanikomeroglu
2024	J	`jnl`	A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems. Comput. Ind. Eng. Erfan Nejati, Ensieh Ghaedy-Heidary, Amir Ghasemi, S. Ali Torabi
2024	J	`jnl`	A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems - Case: Semiconductor manufacturing. Comput. Oper. Res. Ensieh Ghaedy-Heidary, Erfan Nejati, Amir Ghasemi, S. Ali Torabi
2024	J	`jnl`	Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs). CoRR Amir Ghasemi, Paul Guinand
2024	—	`conf`	DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning. VTC Fall Janaki Parekh, Amir Ghasemi, Halim Yanikomeroglu
2024	—	`conf`	Informing Wireless Spectrum Policy-Making via Crowdsourced Data-Driven Insights: A Case Study. DySPAN Amir Ghasemi, Janaki Parekh
2024	J	`jnl`	Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap. J. Ind. Inf. Integr. Amir Ghasemi, Fatemeh Farajzadeh, Cathal Heavey, John Fowler, Chrissoleon T. Papadopoulos
2024	Misc	`conf`	Supply Chain Digital Twin Framework for Hybrid Manufacturing Strategy Selection: A Case Study from the Semiconductor Industry. WSC Amir Ghasemi, Sanja Lazarova-Molnar, Cathal Heavey
2024	—	`conf`	Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand. VTC Fall Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
2023	B	`conf`	Data-Driven Modelling of Mobile Network Demand for Efficient Spectrum Management. PIMRC Janaki Parekh, Amir Ghasemi, Halim Yanikomeroglu
2023	Misc	`conf`	Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment. WSC Amir Ghasemi, Yavar Taheri Yeganeh, Andrea Matta, Kamil Erkan Kabak, Cathal Heavey
2023	J	`jnl`	DeepAir: Enabling Data-Driven Dynamic Spectrum Sharing via Scalable Forecasting. IEEE Trans. Cogn. Commun. Netw. Amir Ghasemi, Janaki Parekh
2023	J	`jnl`	Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges. IEEE Access Colin Brown, Amir Ghasemi
2023	J	`jnl`	Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans. CoRR Amir Ghasemi, Fatemeh Mottaghian, Akram Bayat
2023	B	`conf`	Leveraging Geospatial Data to Improve Spectrum Sharing in Mid-Band. WCNC Colin Brown, Amir Ghasemi
2023	J	`jnl`	Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic. IEEE Open J. Commun. Soc. Mohammad Parvini, Amir Hossein Zarif, Ali Nouruzi, Nader Mokari, Mohammad Reza Javan, Bijan Abbasi, Amir Ghasemi, Halim Yanikomeroglu
2022	Misc	`conf`	Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling. WSC Amir Ghasemi, Kamil Erkan Kabak, Cathal Heavey
2021	Misc	`conf`	An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments - Case: A Photolithography Workstation. WSC Amir Ghasemi, Cathal Heavey
2021	—	`conf`	Deep Learning based Localization of LTE eNodeBs from Large Crowdsourced Smartphone Datasets. VTC Spring Amir Ghasemi, Janaki Parekh
2021	—	`conf`	DeepAir: Predicting Radio Spectrum Usage at Scale with Deep Temporal Convolutional Networks. ICC Workshops Amir Ghasemi, Janaki Parekh
2021	J	`jnl`	Enabling Universal Connectivity via Data-Driven Policymaking: A North American Case Study. IEEE Commun. Mag. Janaki Parekh, Chaitanya Parekh, Amir Ghasemi
2021	J	`jnl`	Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems. Appl. Soft Comput. Amir Ghasemi, Amir Ashoori, Cathal Heavey
2019	J	`jnl`	Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions. IEEE Trans. Smart Grid Zahra Dehghani Arani, Seyed Abbas Taher, Amir Ghasemi, Mohammad Shahidehpour
2019	J	`jnl`	IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process. IEEE Internet Things J. Li Li, Amir Ghasemi
2019	—	`conf`	Spectrum Sensing for Modulated Radio Signals Using Deep Temporal Convolutional Networks. WCNC Workshops Amir Ghasemi, Chaitanya Parekh, Paul Guinand
2018	Misc	`conf`	A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems. WSC Amir Ghasemi, Cathal Heavey, Georg Laipple
2018	—	`conf`	Data-Driven Prediction of Cellular Networks Coverage: An Interpretable Machine-Learning Model. GlobalSIP Amir Ghasemi
2018	—	`conf`	Dynamic Spectrum Assignment for Land Mobile Radio with Deep Recurrent Neural Networks. ICC Workshops Humphrey Rutagemwa, Amir Ghasemi, Shuo Liu
2018	Misc	`conf`	Implementing a New Genetic Algorithm to solve the Capacity Allocation Problem in the photolithography Area. WSC Amir Ghasemi, Cathal Heavey, Kamil Erkan Kabak
2018	—	`conf`	Predictive Modeling of LTE User Throughput Via Crowd-Sourced Mobile Spectrum Data. DySPAN Amir Ghasemi
2018	—	`conf`	Spectrum Occupancy Prediction for Land Mobile Radio Bands Using a Recommender System. VTC Fall Kareem E. Baddour, Amir Ghasemi, Humphrey Rutagemwa
2017	B	`conf`	Spectrum sharing opportunities in land mobile radio bands: A data-driven approach. PIMRC Humphrey Rutagemwa, Kareem E. Baddour, Amir Ghasemi
2015	J	`jnl`	A New Bi-objective Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach. J. Math. Model. Algorithms Oper. Res. Kaveh Khalili Damghani, Amir-Reza Abtahi, Amir Ghasemi
2014	—	`conf`	Dynamic Channel Selection in cognitive radio WiFi networks: An experimental evaluation. ICC Workshops Jeremy Mack, Saeed Gazor, Amir Ghasemi, John Sydor
2011	—	`conf`	Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset. VTC Spring Amir Ali Basri, Amir Ghasemi, John Sydor
2011	B	`conf`	Impact of directive handset antennas on the performance of outdoor-to-indoor MIMO systems. IWCMC Amir Ghasemi, Amir Ali Basri, John Sydor
2010	—	`conf`	Interference characteristics in power-controlled cognitive radio networks. CrownCom Amir Ghasemi
2008	J	`jnl`	Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks. IEEE J. Sel. Top. Signal Process. Amir Ghasemi, Elvino Silveira Sousa
2008	J	`jnl`	Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs. IEEE Commun. Mag. Amir Ghasemi, Elvino S. Sousa
2008	B	`conf`	Statistical characterization of interference in cognitive radio networks. PIMRC Amir Ghasemi
2007	J	`jnl`	Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing. IEEE Commun. Lett. Amir Ghasemi, Elvino S. Sousa
2007	J	`jnl`	Fundamental limits of spectrum-sharing in fading environments. IEEE Trans. Wirel. Commun. Amir Ghasemi, Elvino S. Sousa
2007	J	`jnl`	Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing. J. Commun. Amir Ghasemi, Elvino S. Sousa
2007	—	`conf`	Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks. CCNC Amir Ghasemi, Elvino S. Sousa
2007	J	`jnl`	Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff. Wirel. Commun. Mob. Comput. Amir Ghasemi, Elvino S. Sousa
2006	—	`conf`	Capacity of Fading Channels Under Spectrum-Sharing Constraints. ICC Amir Ghasemi, Elvino S. Sousa
2006	—	`conf`	Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access. VTC Fall Amir Ghasemi, Elvino S. Sousa
2004	B	`conf`	Distributed intercell coordination through time reuse partitioning in downlink CDMA. WCNC Amir Ghasemi, Elvino S. Sousa
2004	B	`conf`	Jointly optimal base station assignment for up- and downlink CDMA through space division duplex. WCNC Amir Ghasemi, Elvino S. Sousa