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Dr.-Ing. Mohammad Sharif

Abteilung Bauwissenschaften, Institut für Mobilitäts- und Stadtplanung

Anschrift
Berliner Platz 6-8
45127 Essen
Raum
WST-A.09.06
Telefon
0201/183-4342
Telefax
0201/183-4218
E-Mail
mohammad.sharif@uni-due.de
Webseite
https://www.uni-due.de/imobis/
Sprechzeiten
Nach Absprache per E-Mail

Funktionen

  • Wiss. Mitarbeiterinnen/Mitarbeiter, Mobilitäts- und Stadtplanung

Aktuelle Veranstaltungen

Vergangene Veranstaltungen (max. 10)

Keine vergangenen Veranstaltungen.

Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.

    Artikel in Zeitschriften

  • Dorosti, Ali; Alesheikh, Ali Asghar; Sharif, Mohammad
    Measuring Trajectory Similarity Based on the Spatio-Temporal Properties of Moving Objects in Road Networks
    In: Information Jg. 15 (2024) Nr. 1, 51
    Online Volltext: dx.doi.org/ (Open Access)
  • Ebrahimi, Amir Hossein; Alesheikh, Ali Asghar; Hooshangi, Navid; Sharif, Mohammad; Mollalo, Abolfazl
    Modeling COVID-19 Transmission in Closed Indoor Settings : An Agent-Based Approach with Comprehensive Sensitivity Analysis
    In: Information Jg. 15 (2024) Nr. 6, 362
    Online Volltext: dx.doi.org/ (Open Access)
  • Yousefi, Zeynab; Alesheikh, Ali Asghar; Jafari, Ali; Torktatari, Sara; Sharif, Mohammad
    Stacking Ensemble Technique Using Optimized Machine Learning Models with Boruta–XGBoost Feature Selection for Landslide Susceptibility Mapping : A Case of Kermanshah Province, Iran
    In: Information Jg. 15 (2024) Nr. 11, 689
    Online Volltext: dx.doi.org/ (Open Access)
  • Farmanifard, Sahar; Asghar Alesheikh, Ali; Sharif, Mohammad
    A context-aware hybrid deep learning model for the prediction of tropical cyclone trajectories
    In: Expert Systems with Applications Jg. 231 (2023) 120701
    Online Volltext: dx.doi.org/
  • Yarmohamadi, Mahdis; Alesheikh, Ali Asghar; Sharif, Mohammad; Vahidi, Hossein
    Predicting Dust-Storm Transport Pathways Using a Convolutional Neural Network and Geographic Context for Impact Adaptation and Mitigation in Urban Areas
    In: Remote Sensing Jg. 15 (2023) Nr. 9, 2468
    Online Volltext: dx.doi.org/ (Open Access)
  • Goudarzi, Samira; Sharif, Mohammad; Karimipour, Farid
    A context-aware dimension reduction framework for trajectory and health signal analyses
    In: Journal of Ambient Intelligence and Humanized Computing Jg. 13 (2022) Nr. 5, S. 2621 - 2635
    Online Volltext: dx.doi.org/
  • Boroumand, Faraz; Alesheikh, Ali Asghar; Sharif, Mohammad; Farnaghi, Mahdi
    FLCSS : A fuzzy-based longest common subsequence method for uncertainty management in trajectory similarity measures
    In: Transactions in GIS Jg. 26 (2022) Nr. 5, S. 2244 - 2262
    Online Volltext: dx.doi.org/
  • Sedaghat, Alimohammad; Sharif, Mohammad
    Mitigation of the impacts of heat islands on energy consumption in buildings : A case study of the city of Tehran, Iran
    In: Sustainable Cities and Society Jg. 76 (2022) 103435
    Online Volltext: dx.doi.org/
  • Alizadeh, Danial; Alesheikh, Ali Asghar; Sharif, Mohammad
    Prediction of vessels locations and maritime traffic using similarity measurement of trajectory
    In: Annals of GIS Jg. 27 (2021) Nr. 2, S. 151 - 162
    Online Volltext: dx.doi.org/ (Open Access)
  • Alizadeh, Danial; Alesheikh, Ali Asghar; Sharif, Mohammad
    Vessel Trajectory Prediction Using Historical Automatic Identification System Data
    In: Journal of Navigation Jg. 74 (2021) Nr. 1, S. 156 - 174
    Online Volltext: dx.doi.org/
  • Kaffash-Charandabi, Neda; Alesheikh, Ali Asghar; Sharif, Mohammad
    A ubiquitous asthma monitoring framework based on ambient air pollutants and individuals’ contexts
    In: Environmental Science and Pollution Research (ESPR) Jg. 26 (2019) Nr. 8, S. 7525 - 7539
    Online Volltext: dx.doi.org/
  • Sharif, Mohammad; Alesheikh, Ali Asghar; Tashayo, Behnam
    CaFIRST : A context-aware hybrid fuzzy inference system for the similarity measure of multivariate trajectories
    In: Journal of Intelligent and Fuzzy Systems Jg. 36 (2019) Nr. 6, S. 5383 - 5395
    Online Volltext: dx.doi.org/
  • Sharif, Mohammad; Alesheikh, Ali Asghar
    Context-aware movement analytics : implications, taxonomy, and design framework
    In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Jg. 8 (2018) Nr. 1, e1233
    Online Volltext: dx.doi.org/
  • Tashayo, Behnam; Alimohammadi, Abbas; Sharif, Mohammad
    A hybrid fuzzy inference system based on dispersion model for quantitative environmental health impact assessment of urban transportation planning
    In: Sustainability Jg. 9 (2017) Nr. 1, 134
    Online Volltext: dx.doi.org/ (Open Access)
  • Habibi, Roya; Alesheikh, Ali Asghar; Mohammadinia, Ali; Sharif, Mohammad
    An Assessment of Spatial Pattern Characterization of Air Pollution : A Case Study of CO and PM2.5 in Tehran, Iran
    In: ISPRS International Journal of Geo-Information Jg. 6 (2017) Nr. 9, 270
    Online Volltext: dx.doi.org/ (Open Access)
  • Sharif, Mohammad; Alesheikh, Ali Asghar
    Context-awareness in similarity measures and pattern discoveries of trajectories : a context-based dynamic time warping method
    In: GIScience and Remote Sensing Jg. 54 (2017) Nr. 3, S. 426 - 452
    Online Volltext: dx.doi.org/
  • Abbasi, Omid Reza; Alesheikh, Ali Asghar; Sharif, Mohammad
    Ranking the city : The role of location-based social media check-ins in collective human mobility prediction
    In: ISPRS International Journal of Geo-Information Jg. 6 (2017) Nr. 5, 136
    Online Volltext: dx.doi.org/ (Open Access)
  • Sharif, Mohammad; Sadeghi-Niaraki, Abolghasem
    Ubiquitous sensor network simulation and emulation environments : A survey
    In: Journal of Network and Computer Applications Jg. 93 (2017) S. 150 - 181
    Online Volltext: dx.doi.org/ (Open Access)