Prof. Mohammed Al-Sarem | Smart reference evapotranspiration | Best Researcher Award

Prof. Mohammed Al-Sarem | Smart reference evapotranspiration | Best Researcher Award

Prof. Mohammed Al-Sarem , Information System Department,Taibah Univesity , Saudi Arabia 

Dr. Mohammed Al-Sarem is a distinguished full professor and Fellow of the Higher Education Academy (FHEA) in the UK, currently based in the Al-Mustrah Sector of Medina, Saudi Arabia. With over a decade of experience in teaching at both undergraduate and postgraduate levels, Dr. Al-Sarem’s expertise lies in Artificial Intelligence, Big Data Analytics, Natural Language Processing (NLP), Social Network Analysis, Educational Data Mining, and Machine Learning/Deep Learning.

His academic journey includes a Ph.D. in Artificial Intelligence from Hassan II Mohammedia-Casablanca, Morocco, where his dissertation focused on leveraging historical assessment records for designing intelligent and adaptive web-based educational systems. Dr. Al-Sarem’s commitment to excellence is reflected in his extensive publication record, with over 50 articles in ISI and Scopus journals, 35 conference papers, and contributions to three book chapters.

In addition to his academic achievements, Dr. Al-Sarem has received numerous awards, including the IBM Big Data Engineer – Mastery Award for Educators in 2019 and the Scientific Excellence Award from the Yemeni Embassy in Rabat, Morocco, in 2013. His commitment to the field is further demonstrated through his role as a certified Google data scientist and active involvement in managing and organizing international conferences.

Professional Profile:

Scopus

Google Scholar

Orcid

Education:

  • PhD: Hassan II Mohammedia – Casablanca, Morocco, Artificial Intelligence (March 2014)
    • Dissertation: “Leveraging Historical Assessment Records in Designing Intelligent and Adaptive Web-based Educational Systems.”
  • MS: Volgograd State Technical University, Russian Federation, Information Technology & Computer Engineering (June 2007)
    • Thesis: “Intellectual Support for Design of Algorithmic Problems Based on CBR Methodology”
  • BS: Volgograd State Technical University, Russian Federation, Information Technology & Computer Engineering (June 2005)

Honors, Awards, and Scholarships:

  • Awards:
    • Certificate of Appreciation for Outstanding Performance (2023)
    • Best Paper Award, 2nd International Conference of Advanced Computing and Informatics (2021)
    • IBM Big Data Engineer Mastery & Explorer Awards for Educators (2018-2019)
    • Scientific Excellence Award, Yemeni Embassy, Rabat, Morocco (2013)
    • Second Best Paper Award, IEEE conference (2013)
  • Scholarships:
    • Ministry of Higher Education Scholarship, Yemen (2011-2013, PhD)
    • Russian Federation Scholarship, Russian (2005-2007, MS)

Grants and Contracts:

  • Running Projects:
    • Artificial Intelligence-based Assistive Application for Disabilities (2023-2024)
    • Deep Learning-based Early Detection of Autism Spectrum Disorder (2023-2024)
    • Intelligent and Deep Learning-based Methods for Prediction of Bioactive Molecule in Drug Design (2022-2024)
    • Artificial Intelligence-based Virtual Planning of Single Implant (2022-2024)
  • Successfully Completed:
    • Deep Computer-Aided Diagnosis of Knee Osteoarthritis (2021-2023)
    • Adaptive Ensemble-Based Deep Fraud Detection Model (2021-2023)
    • Intelligent System for Detecting Health-related Rumors for COVID-19 (2019-2020)

Administrative Experience:

  • Promotion Committee Member: Ensuring eligibility and documentation for department staff promotions.
  • Curriculum Development Manager: Designing new programs, aligning with accreditation standards.
  • Vice Head of Scientific Research and Studies Unit: Organizing seminars, managing projects, and building a faculty dataset.
  • Head of Statistical and Information Unit: Collecting data, preparing reports, supporting quality committees.
  • Head of Timetable and Examination Committee: Scheduling courses and exams, balancing workloads.

Professional and Teaching Experience:

  • Full Professor, Taibah University, Saudi Arabia (Feb 2024 – Present):
    • Teaching Statistical Data Analytics and Big Data Analytics courses.
  • Research Fellow, INTI International University, Malaysia (Dec 2023 – Dec 2025).
  • External Reviewer, Universiti Pendidikan Sultan Idris, Malaysia (2022-Present).
  • Associate Professor, Taibah University, Saudi Arabia (Oct 2019 – Feb 2024).
    • Taught various courses in Data Analytics, Data Mining, and Information Retrieval.

Publication Top Notes :

Feature selection using an improved Chi-square for Arabic text classification

Citation -259

RS-DCNN: A novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification