Introduction

About Me

I am a third-year Ph.D. student in Computer Science at Oklahoma State University.

Previously, I served as a Lecturer in the Computer Science and Engineering department at University of Asia Pacific, where I taught Machine Learning and Computer Graphics Lab courses.

I hold a Bachelor of Science degree in Computer Science and Engineering from Rajshahi University of Engineering and Technology.

My research interests include Machine Learning, Deep Learning, Natural Language Processing, and Pattern Recognition. I am driven by the goal of advancing these fields to solve real-world challenges through innovative solutions.

[Resume] [CV] [Github] [Google Scholar] [DBLP] [LinkedIn] [Twitter] [Personal Blog] [Goodreads]
Highlights

Recent News


Education

INSTITUTES AND DEGREES

Ph.D. in Computer Science

Oklahoma State University Logo

Department of Computer Science

Oklahoma State University

August 2022 - Present

Bachelor of Science in Computer Science and Engineering

RUET Logo

Department of Computer Science and Engineering

Rajshahi University of Engineering and Technology

January 2012 - October 2016

Experience

Institutes and Duration

Oklahoma State University Logo

Graduate Teaching Assistant August 2022 - Present

Department of Computer Science, Oklahoma State University

Theory Courses:
  • Introduction to Computer Security (Fall 2022), Dr. Sharmin Jahan
  • Design and Implementation of Operating Systems I (Spring 2023, Spring 2024), Dr. Shital Joshi
  • Data Structures and Algorithm Analysis II (Fall 2023), Dr. H. K. Dai
  • Discrete Mathematics for Computer Science (Fall 2024), Dr. Sachin Jain
University of Asia Pacific Logo

Lecturer October 2018 - July 2022

University of Asia Pacific

Theory Courses:
  • Machine Learning (Spring 2020, Fall 2020)
  • Pattern Recognition (Fall 2018 - Fall 2019)
  • Algorithms (Fall 2020)
  • Mathematics for Computer Science (Spring 2021)
  • Visual and Web Programming (Fall 2021)
Lab Courses:
  • Computer Graphics Lab (Fall 2018 - Fall 2021)
  • Pattern Recognition Lab (Fall 2018 - Fall 2019)
  • Algorithms Lab (Fall 2019)
  • Compiler Lab (Fall 2020)
  • Object Oriented Programming II (Java) Lab (Spring 2021)
  • Visual and Web Programming Lab (Fall 2021)
Uttara University Logo

Lecturer February 2017 - October 2018

Uttara University

Theory Courses:
  • Programming Language and Application II (C++) (Fall 2017)
  • Operating System Design (Summer 2018)
  • Design and Analysis of Algorithms (Fall 2018)
  • Discrete Mathematics (Fall 2017)
Lab Courses:
  • Programming Language and Application II Lab (C++) (Fall 2017)
  • Operating System Design Lab (Summer 2018)
  • Design and Analysis of Algorithms Lab (Fall 2018)
My Works

RESEARCH DOCUMENTATION

(Most Recent First)
  • Image Embedding with Classification by Deep Neural Networks.
    [GitHub] [Paper Link]
  • Data Augmentation with Generative Adversarial Networks.
    [GitHub] [Demo]
  • Protein Structure Prediction.
    [GitHub]
  • Phylogenetic Tree Construction with Genetic Algorithms.
    [GitHub] [Paper Link]
  • Performance Analysis of Text classification in Natural Language Processing with Supervised Machine Learning Algorithms.
    [GitHub] [Paper Link]
Publications

CONFERENCE PAPERS

(Most Recent First)
  1. Rafiuddin, S.M., Rakib, M., Kamal, S. and Bagavathi, A., 2024, April. Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 147-159). Singapore: Springer Nature Singapore. (Acceptance Rate: 18.47%)

  2. Karim, M. A., Rafiuddin, S. M., Islam Razin, M. J., & Alam, T. (2022, March). Isolated Bangla Handwritten Character Classification using Transfer Learning. In Proceedings of the 2nd International Conference on Computing Advancements (pp. 11-17).

  3. Rafiuddin, S. M. (2022, March). High Cursive Complex Character Recognition using GAN External Classifier. In Proceedings of the 2nd International Conference on Computing Advancements (pp. 466-472).

  4. Razin, J. I., Abdul Karim, M., Mridha, M. F., Rafiuddin Rifat, S. M., & Alam, T. (2021). A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network. In Sustainable Communication Networks and Application (pp. 1-15). Springer, Singapore.

  5. Rafiuddin, S. M. (2019, December). Estimation of Phylogenetic Tree using Gene Sequencing Data. Electrical Information and Communication Technology (EICT), 2019 4th International Conference on. IEEE, 2019.

  6. Rafiuddin, S. M. (2017, December). Ranking of Bangla word graph using graph based ranking algorithms. Electrical Information and Communication Technology (EICT), 2017 3rd International Conference on. IEEE, 2017.

  7. Mishu, Sadia Zaman, and S. M. Rafiuddin (2016, December). Performance analysis of supervised machine learning algorithms for text classification. Computer and Information Technology (ICCIT), 2016 19th International Conference on. IEEE, 2016.
Misc Links

WEBLINKS

Get in Touch

Contact

where.is.rifat@gmail.com

716 N Husband Street, Stillwater, Oklahoma, USA

+1 (405) 989 6419