Amir Ghasemi

Orcid: 0000-0003-4112-2381

According to our database1, Amir Ghasemi authored at least 47 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A simulation optimization framework to solve Stochastic Flexible Job-Shop Scheduling Problems - Case: Semiconductor manufacturing.
Comput. Oper. Res., March, 2024

Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap.
J. Ind. Inf. Integr., 2024

Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs).
CoRR, 2024

A machine learning-based simulation metamodeling method for dynamic scheduling in smart manufacturing systems.
Comput. Ind. Eng., 2024

DeepSpectrum: A Localized Demand Estimation Model for Mobile Spectrum using Deep Learning.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Informing Wireless Spectrum Policy-Making via Crowdsourced Data-Driven Insights: A Case Study.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024

2023
DeepAir: Enabling Data-Driven Dynamic Spectrum Sharing via Scalable Forecasting.
IEEE Trans. Cogn. Commun. Netw., February, 2023

Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic.
IEEE Open J. Commun. Soc., 2023

Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans.
CoRR, 2023

Evolution Toward Data-Driven Spectrum Sharing: Opportunities and Challenges.
IEEE Access, 2023

Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment.
Proceedings of the Winter Simulation Conference, 2023

Leveraging Geospatial Data to Improve Spectrum Sharing in Mid-Band.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Data-Driven Modelling of Mobile Network Demand for Efficient Spectrum Management.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Demonstration of the Feasibility of Real Time Application of Machine Learning to Production Scheduling.
Proceedings of the Winter Simulation Conference, 2022

2021
Enabling Universal Connectivity via Data-Driven Policymaking: A North American Case Study.
IEEE Commun. Mag., 2021

Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems.
Appl. Soft Comput., 2021

An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments - Case: A Photolithography Workstation.
Proceedings of the Winter Simulation Conference, 2021

Deep Learning based Localization of LTE eNodeBs from Large Crowdsourced Smartphone Datasets.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

DeepAir: Predicting Radio Spectrum Usage at Scale with Deep Temporal Convolutional Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2019
Application of Multi-Resonator Notch Frequency Control for Tracking the Frequency in Low Inertia Microgrids Under Distorted Grid Conditions.
IEEE Trans. Smart Grid, 2019

IoT-Enabled Machine Learning for an Algorithmic Spectrum Decision Process.
IEEE Internet Things J., 2019

Spectrum Sensing for Modulated Radio Signals Using Deep Temporal Convolutional Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

2018
A Review of simulation-Optimization Methods with Applications to semiconductor Operational Problems.
Proceedings of the 2018 Winter Simulation Conference, 2018

Implementing a New Genetic Algorithm to solve the Capacity Allocation Problem in the photolithography Area.
Proceedings of the 2018 Winter Simulation Conference, 2018

Spectrum Occupancy Prediction for Land Mobile Radio Bands Using a Recommender System.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Dynamic Spectrum Assignment for Land Mobile Radio with Deep Recurrent Neural Networks.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

Data-Driven Prediction of Cellular Networks Coverage: An Interpretable Machine-Learning Model.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Predictive Modeling of LTE User Throughput Via Crowd-Sourced Mobile Spectrum Data.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

2017
Spectrum sharing opportunities in land mobile radio bands: A data-driven approach.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2015
A New Bi-objective Location-routing Problem for Distribution of Perishable Products: Evolutionary Computation Approach.
J. Math. Model. Algorithms Oper. Res., 2015

2014
Dynamic Channel Selection in cognitive radio WiFi networks: An experimental evaluation.
Proceedings of the IEEE International Conference on Communications, 2014

2011
Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Impact of directive handset antennas on the performance of outdoor-to-indoor MIMO systems.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

2010
Interference characteristics in power-controlled cognitive radio networks.
Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010

2008
Interference Aggregation in Spectrum-Sensing Cognitive Wireless Networks.
IEEE J. Sel. Top. Signal Process., 2008

Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs.
IEEE Commun. Mag., 2008

Statistical characterization of interference in cognitive radio networks.
Proceedings of the IEEE 19th International Symposium on Personal, 2008

2007
Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff.
Wirel. Commun. Mob. Comput., 2007

Fundamental limits of spectrum-sharing in fading environments.
IEEE Trans. Wirel. Commun., 2007

Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing.
J. Commun., 2007

Asymptotic performance of collaborative spectrum sensing under correlated log-normal shadowing.
IEEE Commun. Lett., 2007

Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks.
Proceedings of the 4th IEEE Consumer Communications and Networking Conference, 2007

2006
Impact of User Collaboration on the Performance of Sensing-Based Opportunistic Spectrum Access.
Proceedings of the 64th IEEE Vehicular Technology Conference, 2006

Capacity of Fading Channels Under Spectrum-Sharing Constraints.
Proceedings of IEEE International Conference on Communications, 2006

2004
Jointly optimal base station assignment for up- and downlink CDMA through space division duplex.
Proceedings of the 2004 IEEE Wireless Communications and Networking Conference , 2004

Distributed intercell coordination through time reuse partitioning in downlink CDMA.
Proceedings of the 2004 IEEE Wireless Communications and Networking Conference , 2004


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