Aliyu Ibrahim Ahmad

Aliyu Ibrahim Ahmad

Profile Details

Department Geology
Faculty Physical Sciences
Office Not specified

Biography

Aliyu Ibrahim Ahmad is a Lecturer II, in the Department of Geology, Faculty of Physical Sciences, specializing in Geology & Mining, with 9 publications at Federal University of Lafia.

Research Interests

Geology & Mining

Publications

  • PRELIMINARY GEOLOGICAL INVESTIGATION INTO THE CAUSES OF FOUNDATION FAILURE IN JALINGO, NORTHEAST NIGERIA
    Science Forum (Journal of Pure and Applied Sciences), 2022
  • INTEGRATING REMOTE SENSING DATA WITH HYDROTHERMAL ALTERATION MAPPING AND GEOCHEMICAL CHARACTERISTICS OF PRECAMBRIAN ROCKS ACROSS MAMBILLA PLATEAU, NORTHEASTERN, NIGERIA
    FUDMA Journal of Sciences (FJS), 2023
  • Assessment of Industrial Potentials of Marble Deposits in Ugya, North Central Nigeria Based on Mineralogical and Chemical Studies
    SCIENCE FORUM (JOURNAL OF PURE AND APPLIED SCIENCES), 2024
  • Groundwater Potential and its Suitability for Drinking and Irrigation Purposes in Federal University of Lafia, Nasarawa State, North-Central Nigeriae
    Lafia Journal of Scientific & Industrial Research, 2025
  • Facies Analysis and Grain Size Distribution of the Bima Formation: Insights into the Depositional Environment in Yarandua and Dadinkowa, Gongola Sub-Basin, Northern Benue Trough
    International Journal of Geography & Environmental Management, 2025
  • Two-Sample t-Test Analysis of Rural–Urban Groundwater Quality in Lafia
    Multidisciplinary Journal of Science, Technology, Education and Management (MJSTEM), 2026
  • Some Rocks and Minerals Found in Nasarawa State.
    Book, N/A
  • Conference Proceeding
    Conference Proceeding, N/A
  • Conference Proceeding
    Conference Proceeding, N/A
  • REVIEW ON GEOTHERMAL PROSPECTIVITY MAPPING: GLOBAL TRENDS, CHALLENGES, AND FUTURE DIRECTIONS
    Submitted Journal Paper, 2026
  • Characterization of Clay Deposits in Lafia and Doma, Part of the Middle Benue Trough, North Central Nigeria: Implications for Industrial Applications.
    Submitted Journal Paper, 2026
  • Machine Learning for Pore-Scale Characterization and CO2 Storage Parameter Estimation in Carboante Reserviors: A Systematic Review.
    Submitted Journal Paper, 2026