ahmed.asmau@kasu.edu.ng
+234-803 7009 762
2nd Floor, CBN Building, Room 4

Dr Asmau Mukhtar Ahmed

Head of Department

Empowering academic excellence through teaching and research: With over 10 years of experience, driving innovation in Geographical Information Science, Remote Sensing, and Artificial Intelligence to tackle environmental challenges. A dedicated mentor and researcher committed to advancing knowledge, fostering collaboration, and making a lasting impact in education and beyond.

Biography

Asma’u M. Ahmed is a Senior Lecturer in the Department of Geography and Sustainability Studies at Kaduna State University. She holds a B.Sc. in Geography from Bayero University Kano, Nigeria (2009), an M.Sc. in Geospatial Information Science from the University of Aberdeen, United Kingdom (2011), and a Ph.D. in Remote Sensing from Kingston University London, United Kingdom (2019).

Her doctoral research focused on developing machine learning algorithms for hydrocarbon quantification, with a thesis titled “Hydrocarbon Quantification Using Neural Networks and Deep Learning-Based Hyperspectral Unmixing.” She structured a deep learning model for detecting and quantifying petroleum hydrocarbon spills using Shortwave Infrared (SWIR) sensor data and advanced programming techniques.

Her research interests include hyperspectral unmixing, pattern recognition, and the application of artificial neural networks and deep learning to remotely sensed data. Dr. Ahmed is committed to advancing geospatial science and fostering innovative research in environmental monitoring and sustainability.

Education

  • PhD GIS and Remote Sensing (Digital Image Processing and Machine Learning) | Kingston University London (2019)
  • MSc. Applied Geospatial Information Science | University of Aberdeen (2011)
  • MSc. Environmental Management| Nigeria Defence Academy (2013)
  • PGD Education | National Teachers’ Institute (2009)
  • BSc. Geography | Bayero University Kano (2007)

Publications

  • Ahmed, A.M., 2024. A Comparison between linear and non-linear spectral unmixing methods. Kaduna Journal of Geography 5(2), p.1- 12.
  • Ahmed, A.M., 2023. Use of Geospatial Technology to Assess the Causes, Nature, Extent and Trends of Landuse and Landcover Alteration in Ebocha, Rivers State. Kaduna Journal of Geography 5(1), p. 1-18
  • Abdulhafiz G. Auwal, A., Asmau, M. A. 2021. Perception of Sampled Residents on Road Transport Emission in Kaduna Metropolis. Journal of Conflict Resolution and Social Issues. Vol. 2 No. 3.
  • Ahmed, A.M., Duran, O., Zweiri, Y. and Smith, M., 2019. Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data. Remote Sensing, 11(16), p.1938.
  • Ahmed, A. M., Duran, O., Zweiri, Y. and Smith, M., 2017. Hybrid spectral unmixing: Using artificial neural networks for linear/non-linear switching. Remote Sensing, 9(8), p.775.

Skills

Geographical Information Systems (GIS)95%
Data Analysis and Management90%
Teaching and Mentoring92%
Artificial Intelligence and Machine Learning88%
Research and Grant Writing85%