Habibor Rahman Rabby

About

I am a machine learning and natural language processing researcher with a strong academic background in Computer Science and hands-on research experience gained during my graduate studies in the United States. My research focuses on predictive modeling, sentiment analysis, and data-driven approaches to real-world problems, with publications in peer-reviewed conferences & journals. Alongside my research, I actively engage in professional academic activities, including conference reviewing, and remain motivated to contribute to impactful and rigorous research in ML and NLP.


  • Location: Arlington, VA, USA
  • Degree: M.S. in Computer Science
  • University: Campbellsville University
  • Research Interests: Machine Learning, Natural Language Processing (NLP), Predictive Modeling

Research Experience

I work on developing and testing machine learning models, mainly for predictive modeling and time-series analysis, with the goal of producing reliable and useful outcomes for real-world problems.

Publications
Conferences and Journals

Citations
Google Scholar

Research Paper Reviewer
Peer Review & TPC Service

Professional Memberships
IEEE, ACM, and More!

Publications

  • All
  • Journal
  • Conference
Conference Coronavirus Disease Outbreak Prediction and Analysis Using Machine Learning and Classical Time Series Forecasting Models

Habibor Rahman Rabby, Mahadi Hasan, Israt Jahan, Rumana Jahan, Rafiuddin Siddiky

IEEE ICAIQSA 2024
DOI: 10.1109/ICAIQSA64000.2024.10882176

Conference Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Using Fine Needle Aspirate Image Features

Habibor Rahman Rabby, Israt Jahan, Mahadi Hasan, Rafiuddin Siddiky, Rumana Jahan

IEEE ICETI4T 2025
DOI: 10.1109/ICETI4T63625.2025.11132221

Conference Scalable RNN-Based Transfer Learning for Patient Sentiment Monitoring in Telehealth Platforms

Nusrat Yasmin Nadia; Habibor Rahman Rabby; Md Habibul Arif; Md Iftekhar Monzur Tanvir; Mumtahina Ahmed; Sabiha Firdaus

2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS)
DOI: 10.1109/COMPAS67506.2025.11381638

Journal Machine Learning Models for Cybersecurity Risk Analysis in U.S. Critical Infrastructure Systems

Md Habibul Arif, Habibor Rahman Rabby, Nusrat Yasmin Nadia, Md Zahid Hassan, Rasel Hossain Babu

Journal of Information Systems Engineering and Management
DOI: 10.52783/jisem.v11i1s.14284

Journal Digital Divide in Homeless Population: ML analysis of Technology Access and Usage Patterns in California, USA

Habibor Rahman Rabby, Mohammad S Alam, Amena Hoque, Syed Tanvila Hasin, Daudul Islam, Rahima Binta Bellal Samia, Samia Ara Chowdhury

Journal of Information Systems Engineering and Management
DOI: 10.52783/jisem.v10i63s.14171

Journal Security Analytics Using Machine Learning Methods for Federal Government Cloud Systems

Nusrat Yasmin Nadia, Md Habibul Arif, Habibor Rahman Rabby, Rasel Hossain Babu, Md Zahid Hassan

Journal of Information Systems Engineering and Management
DOI: 10.52783/jisem.v11i1s.14285

Journal AI-Driven Risk Assessment in National Security Projects: Examining Machine Learning Models to Predict and Mitigate Risks in Defense and Critical Infrastructure Projects

Md Habibul Arif, Habibor Rahman Rabby, Nusrat Yasmin Nadia, Md Iftekhar Monzur Tanvir, Abdullah Al Masum

Journal of Computer Science and Technology Studies (JCSTS), 7(2), 2025
DOI: 10.32996/jcsts.2025.7.2.6

Journal MACHINE LEARNING DRIVEN AI INSIGHTS: TRANSFORMING STRATEGIC DECISION MAKING FOR US BUSINESSES

Mahmuda, Habibor Rahman Rabby, Amena Hoque, Daudul Islam,Samia Ara Chowdhury

Cuestiones de Fisioterapia, Vol. 54 No. 5 (2025): Year 2025 ,Volume 54 Issue 5
DOI: 10.48047/s3wy1048

Skills

Core tools and technologies I use in research and development.

Machine Learning & NLP

Predictive Modeling Sentiment Analysis Model Evaluation

Programming

Python Java C C++

Data & Databases

SQL MySQL SQL Server (SSMS)

Web Development

HTML CSS JavaScript PHP Bootstrap XML

Tools

Jupyter Notebook Git

Resume

Summary

Habibor Rahman Rabby

Machine Learning and NLP Researcher with peer-reviewed publications in IEEE conferences and international journals. Research interests include predictive modeling, sentiment analysis, and information retrieval, supported by a strong academic foundation in computer science.

  • Arlington, VA, USA
  • HabiborRabby@gmail.com
  • Rabby@HabiborRabby.net

Education

M.S. in Computer Science

Oct 2022 – Aug 2024

Campbellsville University, Kentucky, USA

CGPA: 3.90 / 4.00. Focused on machine learning, NLP, prediction models, and applied AI research.

B.S. in Computer Science & Engineering

Jan 2017 – Mar 2021

Port City International University, Chattogram, Bangladesh

CGPA: 3.77 / 4.00. Completed research-driven projects in programming, problem-solving, and data analysis.

Editorial Board Memberships

Editorial Board Member

Active Member

Journal Name: Frontiers in Computer Science and Artificial Intelligence

Peer Review & TPC Service

TPC Reviewer – FET’26

Current

Frontiers of Engineering & Emerging Technologies (FET’26)

  • IEEE Conference
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: AI/ML and related tracks

TPC Reviewer – 3ICT 2025

Nov 2025

International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

  • IEEE Conference
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: AI, Machine Learning, Data Analytics

Peer Reviewer - FCSAI

January 21, 2026

Frontiers in Computer Science and Artificial Intelligence

  • Publisher: Al-Kindi Center for Research and Development
  • Role: Journal Papers Reviewer
  • Scope: AI/ML/NLP and related tracks

Professional Experience

Full Stack Developer

Jun 2025 – Present

Upskill Consultancy, New York, USA

  • Developing and maintaining web applications with data integration and scalability in focus.
  • Applying ML-based prediction models to enhance features and decision-making.
  • Collaborating with cross-functional teams using research-driven development practices.

Software Developer

Sep 2024 – May 2025

ThothIT LLC, Texas, USA

  • Implemented backend solutions with analytics and AI integration.
  • Explored ML and NLP tools to support client-facing applications.
  • Improved system robustness and scalability.

Software Engineer

Apr 2021 – Aug 2022

KITRIM SOFT LIMITED, Chattogram, Bangladesh

  • Led development of enterprise-level applications with predictive modeling features.
  • Aligned deliverables with emerging AI/ML methodologies.
  • Bridged theoretical research with production-level implementations.

Professional Memberships

Institute of Electrical and Electronics Engineers (IEEE)

Active Member
  • Member ID: 97085927
  • Focus: IEEE communities in AI/ML and computing

Association for Computing Machinery (ACM)

Active Member
  • Member ID: 4576516
  • Focus: Computing research and professional community

IEEE Young Professionals

Active
  • Membership: Certificate of Membership
  • Focus: Professional growth and networking

American Association for the Advancement of Science (AAAS)

Active Member
  • Member ID: 61121403
  • Focus: Interdisciplinary science community

Certifications

Services

I combine research expertise in Machine Learning, NLP, and Predictive Modeling with practical experience in full-stack software development and databases. Below are the areas where I can contribute through collaboration, consulting, or research-driven solutions.

Machine Learning & Prediction Models

Designing and evaluating ML models for forecasting, classification, and decision support. Expertise in predictive analytics with applications in health, security, and business domains.

Natural Language Processing

Developing sentiment analysis, text classification, and information retrieval systems. Skilled in turning unstructured data into insights for research and real-world applications.

Full-Stack Web Development

Building responsive, user-friendly websites and applications using HTML, CSS, PHP, JavaScript, Bootstrap, and database backends. Delivering solutions from prototype to deployment.

Database Design & Management

Expertise with MySQL, SQL queries, and SSMS. Capable of database design, optimization, and integration with applications while ensuring scalability and data integrity.

Research Collaboration

Available for academic collaborations in machine learning, NLP, and applied AI. Published author in IEEE and peer-reviewed journals, with interest in interdisciplinary projects.

Mentoring & Teaching

Guiding students and peers in computer science fundamentals, machine learning, and research methods. Passionate about sharing knowledge and fostering innovation.

Recommendations

I was his instructor for Artificial Intelligence and later his thesis supervisor at Port City International University. He performed exceptionally, building an LSTM sentiment-analysis model. I am glad to recommend him at any time; feel free to email me.

Emam Hossain

iHARP Research Assistant, University of Maryland, USA | Contact: emamh1@umbc.edu

I am an Associate Professor of Business at the Louisville Education Center, Campbellsville University, and I am pleased to recommend Habibor Rabby, one of our brightest students.

Dr. Chuck Crain

Chair of LEC Business Program, Assistant Professor of Business Campbellsville University, KY, USA | Contact: crcrain@campbellsville.edu

I taught him in Database Management Systems and Software Engineering, where he consistently performed at an exceptional level. I am pleased to recommend him without reservation.

Showmitra Das

Assistant Professor Port City International University | Contact: sowmitra@portcity.edu.bd

I worked closely with him during multiple projects and meetings at Kitrim Software. He was someone we trusted with large, high-stakes projects, and he implemented AI in our systems with excellent results.

Mosfata Wasif

Head of Data & Analytics | Contact: mostafa.wasif@kitrimsoft.com

I had him in my Operating Systems, Computer Networks, and Object-Oriented Programming courses. I am happy to recommend him, and I welcome inquiries by email for further information.

Jahed Hossain

Lecturer Port City International University | Contact: jahedhossain.cse@portcity.edu.bd

Contact

I welcome research collaboration, academic opportunities, and professional discussions. Feel free to reach out via email or professional networks.

Location:

Virginia, USA

Call: