Mohammad Naimul Islam Shanto

Mohammad Naimul Islam Shanto

PhD Student & Researcher

Department of Computer Science
Kennesaw State University, Georgia, USA

I am a PhD student in Computer Science with research interests in Machine Learning, Natural Language Processing, and Computational Linguistics. My work focuses on developing novel algorithms for text understanding and knowledge extraction.

About Me

I am a passionate researcher and PhD candidate in Computer Science at Kennesaw State University, Georgia, USA. My research lies at the intersection of artificial intelligence, machine learning, and natural language processing.

My doctoral research focuses on developing innovative computational methods for understanding and processing human language. I am particularly interested in leveraging deep learning techniques to extract meaningful insights from LLM Data.

Before starting my PhD, I completed my Bachelor's degree in Computer Science and Engineering at International Islamic University Chittagong, Bangladesh, where I developed a strong foundation in programming, algorithms, and software development. I am committed to advancing the field through rigorous research and collaboration with fellow researchers worldwide.

Research Focus

Machine Learning, NLP, Deep Learning

Academic Status

PhD Student (2025 - Present)

Collaborations

Open to Research Collaborations

Research Interests

Machine Learning

Developing novel machine learning algorithms for pattern recognition and predictive modeling. Focus on supervised, unsupervised, and reinforcement learning approaches for complex problem-solving.

Natural Language Processing

Research in text mining, sentiment analysis, named entity recognition, and language understanding. Building systems that can comprehend and generate human language effectively.

Deep Learning

Exploring deep neural network architectures including transformers, attention mechanisms, and large language models for various AI applications and research problems.

Data Science

Applying statistical methods and computational techniques to extract insights from large-scale datasets. Focus on data preprocessing, visualization, and interpretation of results.

Publications

Selected peer-reviewed publications and conference papers

2025
Enhanced Classification of Brain Tumors from MRI Scans Using a Hybrid CNN-Transformer Model

Shanto, MNI., Mubtasim, MT., Rakshit, SV., & Ullah, MA.

2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

2024
Innovative Approach to Precision Botany: Hybrid Learning for Superior Medicinal Plant Identification

Shanto, MNI., Islam, A., Uddin, MS., Mubtasim, MT., Rahman, A., & Ullah, MA.

2024 27th International Conference on Computer and Information Technology (ICCIT)

2024
An Interpretable Skin Cancer Classification Using Optimized Deep Transfer Learning Method

Shanto, MNI., Uddin, MS., Islam, A., Dipta, TR., Rabby, MSM., & Khaliluzzaman, M.

2024 International Conference on Innovations in Science, Engineering and Technology (ICISET)

Education

2025 - Present

Ph.D. in Computer Science

Kennesaw State University, Georgia, USA

Research Focus: Machine Learning, Natural Language Processing, Deep Learning, Data Science
Advisor: Prof. Dr. Amir Karami
Current Status: Coursework and Research Phase

2020 - 2024

B.Sc. in Computer Science & Engineering

International Islamic University Chittagong

Thesis: "Enhancing Heart Disease Prediction from Colour Doppler Echocardiographic Reports Using DistilRoBERTa, BETO, and DistilBERT"
Supervisor: Prof. Dr. Mohammad Aman Ullah
Ranked among the top 10% of the graduating class
Relevant Coursework: Data Structures, Algorithms, Database Systems, AI, Machine Learning

2017 - 2019

Higher Secondary Certificate (HSC) - Science

Bangladesh Navy School and College, Chittagong

GPA: 4.75/5.00
Group: Science (Physics, Chemistry, Mathematics, Biology)

2015 - 2017

Secondary School Certificate (SSC) - Science

Railway Public High School, Chittagong

GPA: 5.00/5.00
Group: Science

Teaching & Experience

Graduate Teaching Assistant

Fall 2025 - Present

  • CSE 1321L: Program Problem Solving I Lab
  • CSE 1322L: Program Problem Solving II Lab

Responsibilities include conducting lab sessions, grading, and holding office hours for student consultations.

Lecturer (Adjunct Faculty)

2025(February) - 2025 (July)

  • CSE 3527: Compiler
  • CSE 3528: Compiler Lab
  • CSE 3529: Systems Analysis and Design

Responsibilities included delivering lectures, preparing course materials, and assessing student performance.

Awards & Honors

Received tuition waivers for academic excellence in Undergraduate:

  • 50% tuition waiver for 2 semesters
  • 25% tuition waiver for 3 semesters

Technical Skills

Python PyTorch TensorFlow Scikit-learn NLP Deep Learning SQL Git LaTeX Java C++ C HuggingFace

Contact

Feel free to reach out for collaborations, research discussions, or any inquiries

Office

Department of Computer Science
Kennesaw State University
Marietta, GA, USA

Phone

+1 (404) 388-6750