Dr.-Ing. Mohammad Sharif

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)

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

  • Banisharif-Dehkordi, Amir Mohammad; Alesheikh, Ali Asghar; Sharif, Mohammad
    Enhancing first- and last-mile connectivity : A study of bike-sharing and ferry service integration in New York city
    In: Transportation Research Interdisciplinary Perspectives (TRIP), Jg. 32, 2025, 101537
    DOI (Open Access)
  • Ashja-Ardalan, Shima; Alesheikh, Ali Asghar; Sharif, Mohammad; Wittowsky, Dirk
    Resilience of urban road networks to climate change : a spatial-topological approach
    In: Transportation Research Part D: Transport and Environment, Jg. 148, 2025, 104948
    DOI (Open Access)
  • Sharif, Mohammad; Wittowsky, Dirk
    Resilienz in städtische Verkehrssystemen : Eine Herausforderung im Kontext des Klimawandels
    In: Journal für Mobilität und Verkehr, 2025, Nr. 24, S. 35 – 47
    DOI (Open Access)
  • Yarmohamadi, Mahdis; Alesheikh, Ali Asghar; Sharif, Mohammad
    Using Hybrid Deep Learning Models to Predict Dust Storm Pathways with Enhanced Accuracy
    In: Climate, Jg. 13, 2025, Nr. 1, 16
    DOI (Open Access)
  • 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
    DOI (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
    DOI (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
    DOI (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
    DOI
  • 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
    DOI (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
    DOI
  • 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
    DOI, Online Volltext (Open Access)
  • 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
    DOI
  • 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
    DOI (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
    DOI
  • 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
    DOI
  • 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
    DOI
  • 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
    DOI
  • 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
    DOI (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
    DOI (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
    DOI
  • 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
    DOI (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
    DOI (Open Access)

    • Beiträge in Sammelwerken und Tagungsbänden

  • Sharif, Mohammad; Wittowsky, Dirk
    Welche Effekte haben klimatische Extremereignisse auf das Verkehrssystem : ein Ansatz zur Resilienzbewertung am Beispiel der Stadt Duisburg
    In: New Players in Mobility: Technische und betriebswirtschaftliche Aspekte / Proff, Heike (Hrsg.). Wiesbaden: Springer Gabler, 2025, S. 327 – 344
    DOI

nach Vereinbarung unter mohammad.sharif@uni-due.de

  • Klimawandel und nachhaltiger Verkehr

  • Intelligente Mobilität

  • Bewegungsmodellierung und -analyse

  • Geografische Informationssysteme (GIS)

  • Wissenschaftlicher Mitarbeiter beim Projekt “R2K-Klim+" (Strategisches Entscheidungsunterstützungstool zur Anpassung an den Klimawandel auf regionaler und kommunaler Ebene im Rheineinzugsgebiet)