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Ahmed Takleef Alhasani

Lecturer

Computer Center

Administrative Technical College\ Al-Kufa

Biography

Ahmed T. Al-Hasani was born in Iraq in 1989. He received a Technical Diploma in Computer Systems Technology from Al-Furat Al-Awsat Technical University (ATU) in 2010, followed by a B.Sc. degree in Software Engineering in 2015. In 2022, he earned an M.Sc. degree with honors in Information Technology Systems, specializing in Artificial Intelligence, from South Ural State University , Russian Federation.

He is currently a faculty member at the College of Health and Medical Technologies, Al-Furat Al-Awsat Technical University. His research interests include Machine Learning, Deep Learning, Computer Vision, Data Mining, and Data Science, with a particular focus on applying intelligent systems to address real-world challenges in education and information technology.

Rsearch Interests

  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Data Science
  • Medical Imaging

Experiences

  • Head of Division, Information Technology Department, College of Health and Medical Technologies – Kufa, Al-Furat Al-Awsat Technical University - Iraq

Positions

  • Head of Division, Information Technology Department, College of Health and Medical Technologies – Kufa, Al-Furat Al-Awsat Technical University (2015–2018)
  • Head of Division, Scientific Affairs Department, College of Health and Medical Technologies – Kufa, Al-Furat Al-Awsat Technical University (2018–2019)
  • Head of Division, Media and Government Communication Department, College of Health and Medical Technologies – Kufa, Al-Furat Al-Awsat Technical University (2019–2020)
  • Head of Division, Information Technology Department, College of Health and Medical Technologies – Kufa, Al-Furat Al-Awsat Technical University (2020–Present)

Scientific Research

  • An Optimization Technique for Data Classifying of Technicians and Lecturers in Higher Education Institutions
  • Machine Learning-Based Time Series Prediction of Student Academic Performance: A Comparative Analysis of RF, SVM, and k-NN
  • Unsupervised Clustering of Multivariate Sports Activity Data Using K-Means: A Study on the Sport Data Multivariate Time SeriesDataset
  • Heartbeat Sound Classification Using Mel-Spectrogram and CNN Optimized by Frilled Lizard Algorithm for Cardiovascular Disease Detection
  • Correcting Convexity Proofs for Two Signomial Functions in Geometric Programming
  • Seasonal Temperature Prediction in Niamey: A Prophet Model Approach
  • IoT System of Medical Equipment Monitoring and Ambulance Tracking
  • A Comparative Analysis of Methods for Detecting and Diagnosing Breast Cancer Based on Data Mining
  • A novel hybrid feature extraction method using LTP, TFCM, and GLCM
  • Comparative Study of Computer Vision Syndrome and Smart Devices among the Employers and Students in College of College of health and Medical Technique of University of Al -Furat Al-Awsat Techniques. Kufa

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