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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Computer Science and Engineering




Mr. Raiyan Jahangir



Designation: Lecturer Grade-II

Email: raiyan.cse@aust.edu

Office Extension:

Room No: 9B04

Google Scholar Profile

Orcid Profile



Research Interests

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Image Processing
  • Health Informatics
  • Computer Vision

Educational Background

  • Bachelor of Science (BSc), (Computer Science and Engineering), Military Institute of Science and Technology

Honors and Achievements

  • Best Paper Award, International Conference on Human-Centric Smart Computing, 2023
  • MIST Scholarship in all Academic Terms for Excellent Results, Military Institute of Science and Technology, 2023
  • Best Presentation Award, International Conference on Computer and Information Technology (ICCIT), 2022
  • MIST Dean's List of Honors, Military Institute of Science and Technology, 2021

Publications

  • A Multilingual Handwriting Learning System for Visually Impaired People, IEEE Access, 2024
  • Maize Leaf Disease Detection Using Vision Transformers (ViTs) and CNN-Based Classifiers: Comparative Analysis, 2nd International Conference on Human-Centric Smart Computing, 2024
  • Predictive Analytics for Floods in Bangladesh: A Comparative Exploration of Machine Learning and Deep Learning Classifiers, 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023
  • A Performance Analysis of Brain Tumor Classification from MRI Images using Vision Transformers and CNN-based Classifiers, 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023
  • A Conceptual Framework of an Automated Mosquito Control in Drainage Systems for Combating Dengue in Bangladesh, 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023
  • Identifying Design Guidelines of Interactive Whiteboard Interfaces Through Usability Evaluation, 7th International Conference on Design and Digital Communication, 2023
  • CNN-SCNet: A CNN net-based deep learning framework for infant cry detection in household setting, Engineering Reports, 2023
  • Enhancing Mango Leaf Disease Classification: ViT, BiT, and CNN-Based Models Evaluated on CycleGAN-Augmented Data, 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023
  • Towards Developing a Voice-Over-Guided System for Visually Impaired People to Learn Writing the Alphabets, 25th International Conference on Computer and Information Technology, 2022