Assistant Professor Computer Science

Dr. Attaullah Sahito

Dr. Attaullah Sahito is an Assistant Professor of Computer Science at The Shaikh Ayaz University, Shikarpur, Pakistan. He earned his PhD in Computer Science from the University of Waikato, New Zealand, where his research focused on semi-supervised and self-supervised learning for image classification. His research interests include machine learning, deep learning, artificial intelligence, and medical image analysis. Dr. Sahito has published in reputable international journals and conferences and is an approved HEC PhD supervisor. He is actively involved in teaching, research supervision, and academic leadership.
Email Address

attaullah@saus.edu.pk

Phone Number

03337208517

Location

Ranipur Sindh

AREAS OF EXPERTISE

AI , Machine learning , Deep Learning 

PUBLICATIONS

  • Semi-supervised learning using Siamese networks (2019)
    A. Sahito, E. Frank, B. Pfahringer
    Australasian Joint Conference on Artificial Intelligence, pp. 586–597
  • Better self-training for image classification through self-supervision (2022)
    A. Sahito, E. Frank, B. Pfahringer
    Australasian Joint Conference on Artificial Intelligence, pp. 645–657
  • TDV: Intelligent system for thyroid disease visualization (2016)
    J.A. Chandio, A. Sahito, M.A.R. Soomrani, S.A. Abbasi
    International Conference on Computing, Electronic and Electrical Engineering
  • A Review of Skin Disease Detection Using Deep Learning (2024)
    S. Fatima, H. Shaikh, A. Sahito, A. Kehar
    VFAST Transactions on Software Engineering, 12(4), 220–238
  • Transfer of pretrained model weights substantially improves semi-supervised image classification (2020)
    A. Sahito, E. Frank, B. Pfahringer
    Australasian Joint Conference on Artificial Intelligence, pp. 433–444
  • Adaptive error detection method for P300-based spelling using Riemannian geometry (2016)
    A. Sahito, M.A. Rahman, A. Jamil
    International Journal of Advanced Computer Science and Applications, 7(11)
  • A study of self-training variants for semi-supervised image classification (2021)
    A. Sahito
    The University of Waikato (Thesis)
  • Initiative for Thyroid Cancer Diagnosis: Decision Support System for Anaplast Thyroid Cancer (2017)
    S.S. Jamil Ahmed Chandio, M.A.R. Soomrani, Attaullah Sahito
    Sukkur IBA Journal of Computing and Mathematical Sciences, 1(2), 48–56
  • Optimizing Distributed Machine Learning for Large Scale EEG Data Set (2017)
    M.B. Shaikh, M.A. Rehman, A. Sahito
    Sukkur IBA Journal of Computing and Mathematical Sciences, 1(1), 114–121
  • Robust Error Detection During P300 Speller using Ensemble Learning (2015)
    A. Sahito
    Sukkur Institute of Business Administration
  • CHATEM: Chat Emotion Mapper (2013)
    A. Sahito, S. Rajpar, Z.A. Shaikh
    Sindh University Research Journal, 45(3), 7–10
WordPress Plugins WPFomify WPFomify Active Campaign Addon WPFomify ConvertKit Addon WPFomify Drip Addon WPFomify EDD Addon WPFomify GIVE Addon WPFomify Gravity Forms Addon WPFomify Learndash Addon WPFomify LifterLMS Addon WPFomify Mailchimp Addon