Mahmut Cavur

Mahmut Cavur

Assistant Professor of Data Analytics

mcavur@stonehill.edu
Graduate & Prof Studies

Biography

Assistant Professor of Data Analytics Mahmut Cavur joined the Stonehill College community in 2025. His academic work and teaching intersect the fields of data science, management information systems, geospatial technologies and applied artificial intelligence. With a career that spans academia, research and entrepreneurship, he brings a dynamic, interdisciplinary perspective to the classroom and to his scholarly contributions.

His research focuses on the application of machine learning, remote sensing and spatial analytics to real-world problems in environmental monitoring, urban planning and public safety. He has served as principal investigator and co-investigator on more than ten funded research projects, securing over $1 million in grants from organizations such as the U.S. Department of Energy (DOE), the European Union and TÜBİTAK. His scholarly work has resulted in numerous publications in peer-reviewed journals and international conference proceedings.

Previously, Cavur served as a faculty member at Kadir Has University and as an adjunct faculty member at Colorado School of Mines, where he led projects involving big data analytics, sensor integration and geospatial database systems. He also brings over a decade of experience in industry as the founder of MIneSoft Informatics, developing data solutions for governmental and industrial clients.

At Stonehill, Cavur teaches courses in business analytics, data science, and information systems, emphasizing hands-on learning, interdisciplinary applications, and inclusive pedagogy. He is passionate about mentoring students and involving them in applied research that bridges theory and practice. Fluent in English, Turkish, Arabic, and French, he also brings a strong global and multicultural orientation to his teaching and service.

Education

  • Ph.D., Geodetic and Geographic Information Technologies, Middle East Technical University
  • M.B.A., Management and Business Administration, Hasan Kalyoncu University
  • M.A., Management Information Systems, Boğaziçi University
  • B.Sc., Mining Engineering, Middle East Technical University

Courses Taught

  • Python for Data Analysts
  • Database & Data Warehouse Concepts

Selected Publications, Awards & Accomplishments

  • Ulu, D.P., Erkan, Y., Reis, A. S. A.,  Guvenc, H. M. and Cavur, M.(2025). Impacts of the changes in agriproduction on rural heritage in the case of Müşküle, Iznik, Turkey. Journal of Cultural Heritage Management and Sustainable Development 2025; https://doi.org/10.1108/JCHMSD-01-2024-0021
  • Arpa, T., & Çavur, M. (2024). A Comparative Analysis of Machine Learning Techniques to Explore Factors Affecting Mathematics Success in Developing Countries: Turkey, Mexico, Thailand, And Bulgaria Case Studies. Journal of Information Systems and Management Research, 6(2), 24-36. https://doi.org/10.59940/jismar.1514958
  • Ibrir, Y. A., & Çavur, M. (2024). Forecasting Employees’ Promotion Based on Personal Indicators by Using a Machine Learning Algorithm. International Journal of Management Information Systems and Computer Science, 8(2), 75-98. https://doi.org/10.33461/uybisbbd.1471499
  • Demir, E., Cavur, M., Yu, Y.-T., & Duzgun, H. S. (2024). An Evaluation of AI Models’ Performance for Three Geothermal Sites. Energies, 17(13), 3255. https://doi.org/10.3390/en17133255
  • Cavur, M., Ting, Yu, Demir, Ebubekir; Duzgun, H.S. (2024). Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms. Remote Sens. 2021, 13, 349., Nevada—USA. https://doi.org/10.3390/rs16071223
  • Songülen, N., Alkan, Güvenç, M., A., Alioglu, Fuzun., Erkan, Y., and Cavur, M. (2024). A decision support system for conservation policy development: The socio-demographic profiling of İznik town and its rural landscape. Historic Environment Policy and Practice. https://doi.org/10.1080/17567505.2024.2331297
  • Cavur, M. and Demir, E. (2022). RSSI-Based Hybrid Algorithm for Real-Time Tracking in Underground Mining by Using RFID Technology, Physical Communication. https://doi.org/10.1016/j.phycom.2022.101863
  • Moraga, J., Duzgun, H.S., Cavur, M., and H.S., Soydan, (2022). The Geothermal Artificial Intelligence for geothermal exploration. Renewable Energy, Volume 192, Pages 134-149. https://doi.org/10.1016/j.renene.2022.04.113
  • Cavur, M., Moraga, J., Duzgun, H.S., Soydan, H. and Jin, G. (2021). Displacement Analysis of Geothermal Field Based on PSInSAR And SOM Clustering Algorithms A Case Study of Brady Field. Remote Sens. 2021, 13, 349., Nevada—USA. https://doi.org/10.3390/rs13030349
  • Camalan M. and Cavur M. (2020). Development of a supervised classification method to construct 2D mineral maps1on backscattered electron images. Turkish Journal of Electrical Engineering & Computer Sciences. DOI: https://doi.org/10.3906/elk-1906-60
  • M., Camalan, Cavur M. M., & C., Hoşten, (2017). Assessment of chromite liberation spectrum on microscopic images by means of a supervised image classification. Powder Technology, 322, 214-225. https://doi.org/10.1016/j.powtec.2017.08.063
  • Cavur, M., & Duzgun, H. S. (2016). A framework to embed a spatial statistics toolbox in open-source GIS software: kernel density estimation example. Journal of Spatial Science, 62(1), 173–193. https://doi.org/10.1080/14498596.2016.1230837
  • Camalan, M., & Çavur, M. (2021). Using Random Forest Tree Classification for Evaluating Vertical Cross-Sections inEpoxy Blocks to Get Unbiased Estimates for 3D Mineral Map. Politeknik Dergisi, 24(1), 113-120. https://doi.org/10.2339/politeknik.602688
  • Çavur, M. (2018). Yereraltı Maden İşçilerini Gerçek Zamanlı Takip Etmek İçin RFID Teknolojisine Dayalı Özgün Bir Entegrasyon Metodolojisi. Politeknik Dergisi, 21(3), 603-610. https://doi.org/10.2339/politeknik.391793
    Journal Paper (Other – 1 total):
  • NSF-ICorps Nomination - September 2024
    • Nominated for Business Canvas Development for Indoor Tracking System Project ($50k secured)
  • Finalist of the New Ideas New Jobs (YFYİ) - Turkey, July 2012
    • Finalist in the YFYİ competition, selected from over 1,600 projects. Project: "Real-Time Positioning of Employees in the Indoor Environment"
  • Nexus Consortium for Natural Resources Exploration Using ML/AI - Brasil, July 2019
    • Finalist in the Nexus competition with the ML and AI for Geothermal Prediction

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