Spatio-Temporal Analysis of Tehran's Historical Earthquakes Trends. - Mahdi Hashemi 001; Ali Asghar Alesheikh (AGILE Conf., 2011)

Protecting location privacy in mobile geoservices using fuzzy inference systems. - Mahdi Hashemi 001; Mohammad Reza Malek (Comput. Environ. Urban Syst., 2012)

A spatio-temporal model for probabilistic seismic hazard zonation of Tehran. - Mahdi Hashemi 001; Ali Asghar Alesheikh; Mohammad R. Zolfaghari (Comput. Geosci., 2013)

A critical review of real-time map-matching algorithms: Current issues and future directions. - Mahdi Hashemi 001; Hassan A. Karimi (Comput. Environ. Urban Syst., 2014)

Accessible Wayfinding Testbed: Infrastructure and Components. - Hassan A. Karimi; Mahdi Hashemi 001 (EAI Endorsed Trans. Cloud Syst., 2015)

A Machine Learning Approach to Improve the Accuracy of GPS-Based Map-Matching Algorithms (Invited Paper). - Mahdi Hashemi 001; Hassan A. Karimi (IRI, 2016)

A Theoretical Framework for Ubiquitous Computing. - Mahdi Hashemi 001; Abolghasem Sadeghi-Niaraki (Int. J. Adv. Pervasive Ubiquitous Comput., 2016)

Indoor Spatial Model and Accessibility Index for Emergency Evacuation of People with Disabilities. - Mahdi Hashemi 001; Hassan A. Karimi (J. Comput. Civ. Eng., 2016)

A weight-based map-matching algorithm for vehicle navigation in complex urban networks. - Mahdi Hashemi 001; Hassan A. Karimi (J. Intell. Transp. Syst., 2016)

Collaborative personalized multi-criteria wayfinding for wheelchair users in outdoors. - Mahdi Hashemi 001; Hassan A. Karimi (Trans. GIS, 2017)

Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning. - Mahdi Hashemi 001 (IEEE Trans. Intell. Transp. Syst., 2017)

A testbed for evaluating network construction algorithms from GPS traces. - Mahdi Hashemi 001 (Comput. Environ. Urban Syst., 2017)

Identifying the Responsible Group for Extreme Acts of Violence Through Pattern Recognition. - Mahdi Hashemi 001; Margeret Hall (HCI (23), 2018)

Visualization, Feature Selection, Machine Learning: Identifying the Responsible Group for Extreme Acts of Violence. - Mahdi Hashemi 001; Margeret Hall (IEEE Access, 2018)

Detecting and classifying online dark visual propaganda. - Mahdi Hashemi 001; Margeret Hall (Image Vis. Comput., 2019)

Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation. - Mahdi Hashemi 001 (J. Big Data, 2019)

Automatic Inference of Road and Pedestrian Networks From Spatial-Temporal Trajectories. - Mahdi Hashemi 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Forecasting Atmospheric Visibility Using Auto Regressive Recurrent Neural Network. - Jahnavi Jonnalagadda; Mahdi Hashemi 001 (IRI, 2020)

Global Land Temperature Forecasting Using Long Short-Term Memory Network. - Prashanti Maktala; Mahdi Hashemi 001 (IRI, 2020)

Studying the impact of streetlights on street crime rate using geo-statistics. - Srikanth Vadlamani; Mahdi Hashemi 001 (IRI, 2020)

Multi-label classification and knowledge extraction from oncology-related content on online social networks. - Mahdi Hashemi 001; Margeret Hall (Artif. Intell. Rev., 2020)

Retraction Note: Criminal tendency detection from facial images and the gender bias effect. - Mahdi Hashemi 001; Margeret Hall (J. Big Data, 2020)

Web page classification: a survey of perspectives, gaps, and future directions. - Mahdi Hashemi 001 (Multim. Tools Appl., 2020)

Weighted Machine Learning for Spatial-Temporal Data. - Mahdi Hashemi 001; Hassan A. Karimi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies. - Zinat Ara; Mahdi Hashemi 001 (IEEE BigData, 2021)

Identifying the Severity of Road Accident Impact on Traffic Flow by Ensemble Model. - Zinat Ara; Mahdi Hashemi 001 (IRI, 2021)

A Deep Learning-based Traffic Event Detection From Social Media. - Jahnavi Jonnalagadda; Mahdi Hashemi 001 (IRI, 2021)

Ride Hailing Service Demand Forecast by Integrating Convolutional and Recurrent Neural Networks. - Zinat Ara; Mahdi Hashemi 001 (SEKE, 2021)

Spatial-Temporal Forecast of the probability distribution of Oceanic Nino Index for various lead times. - Jahnavi Jonnalagadda; Mahdi Hashemi 001 (SEKE, 2021)

Studying and Clustering Cities Based on Their Non-Emergency Service Requests. - Mahdi Hashemi 001 (Inf., 2021)

A Data-Driven Framework for Coding the Intent and Extent of Political Tweeting, Disinformation, and Extremism. - Mahdi Hashemi 001 (Inf., 2021)

Forecasting El Niño and La Niña Using Spatially and Temporally Structured Predictors and a Convolutional Neural Network. - Mahdi Hashemi 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Automatic Type Detection of 311 Service Requests Based on Customer Provided Descriptions. - Mahdi Hashemi 001 (Appl. Artif. Intell., 2022)

Predicting Ride Hailing Service Demand Using Autoencoder and Convolutional Neural Network. - Zinat Ara; Mahdi Hashemi 001 (Int. J. Softw. Eng. Knowl. Eng., 2022)

Feature Selection and Spatial-Temporal Forecast of Oceanic Niño Index Using Deep Learning. - Jahnavi Jonnalagadda; Mahdi Hashemi 001 (Int. J. Softw. Eng. Knowl. Eng., 2022)

Discovering social media topics and patterns in the coronavirus and election era. - Mahdi Hashemi 001 (J. Inf. Commun. Ethics Soc., 2022)

Geographical visualization of tweets, misinformation, and extremism during the USA 2020 presidential election using LSTM, NLP, and GIS. - Mahdi Hashemi 001 (J. Big Data, 2023)