Research · Publications · Patents · Academic Service

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.

Research Profile

Habibor Rahman Rabby
Machine Learning • NLP • Applied AI Research

I am a Machine Learning and Natural Language Processing researcher with a focus on predictive modeling, time-series analysis, and AI-driven decision systems applied to high-impact domains, including healthcare AI, cybersecurity, and critical infrastructure protection.

My research portfolio spans 20+ published peer-reviewed papers across IEEE conferences and leading international journals, accumulating 57+ citations. It also includes 2 patents in the innovation pipeline and 1 research funding / grant record supporting AI-focused research and collaboration.

Beyond publishing, I contribute to the scholarly community as a peer reviewer and Technical Program Committee member for multiple IEEE conferences and international journals, completing 18+ peer reviews in total, reflecting a standing within the research community not only as a contributor but as an evaluator of emerging work.

My research agenda is driven by a singular goal: advancing AI that is scalable, interpretable, and deployable where it matters most.

Research Dashboard

Published Papers
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Journals
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Conferences
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Citations
57
4 h-index 3 i10-index
Google Scholar
Accepted
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Under Review
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Published Papers by Year
Published Paper Mix
Intellectual Property

Innovation & Intellectual Property

Granted, published, filed, and in-preparation industrial design and utility patents.

UK / CA Patent(s)
2Total 1Submitted / active 1Upcoming 0Granted
Deep Learning Integrated Government Cyber Shield Gateway Unit
UK Filed / Submitted
Design Patent

Deep Learning Integrated Government Cyber Shield Gateway Unit

A vertical, rectangular secure gateway tower with: Hardened alloy body casing Embedded hexagonal neural pattern engraving Dual biometric authentication ports (retina + fingerprint) Front OLED threat-level indicator panel Rear multi-layer quantum encryption ports Compact yet powerful in appearance, designed for secure government network hubs. Functional Intent A device housing: Deep neural network intrusion detection models Zero-day threat learning system Self-evolving malware signature engine Federated learning-based inter-agency security sharing Government Application Vision Data Centers of Ministries Digital Governance Infrastructure National Cloud Cyber Security Nodes Critical Infrastructure Protection Systems

Secure Gateway Tower Cybersecurity Appliance Government Network Security Intrusion Detection System
Application6518453 FiledApr 2026 InventorsHabibor Rahman Rabby, Md Habibul Arif, Nusrat Yasmin Nadia
CA Pre-Filing
Utility Patent

Machine Learning-Based Predictive Maintenance System for Industrial Equipment

Research Support

Research Funding & Grants

Competitive funding, grant support, and research resource recognition.

1 Record
1Total 1Awarded / active 0Completed 0Pipeline
Scholarly Service

Academic Roles & Service

Editorial appointments, technical program committee roles, peer-review service, and active professional memberships.

4TPC Roles 18Peer Reviews 1Editorial 5Memberships
Advanced Machine Intelligence Research Lab
Active
Research Lab Affiliation

Research Assistant

Advanced Machine Intelligence Research Lab

Research Assistant working on privacy-preserving, federated, and graph-based deep learning for healthcare IoT, clinical decision support, and cyber-resilient critical infrastructure.

PI / SupervisorProf. Dr. Mohammad Firoz Mridha TenureMar 2023 – Present
Key Achievements / Responsibilities
Co-authored 10 research papers under this lab — 5 published, 2 accepted, and 3 under review across Q1 (SCI-indexed) journals and IEEE conferences. Led research on privacy-preserving and federated deep learning for healthcare IoT, clinical decision support, and cyber-resilient critical infrastructure — spanning GNNs, multimodal federated pipelines, and multi-agent reinforcement learning. Designed end-to-end ML pipelines and collaborated with the PI on problem framing, experimental design, and manuscript preparation.
Healthcare AI Federated Learning Privacy-Preserving Machine Learning Graph Neural Networks IoT Cybersecurity

Research Work

Featured Research

Research Outreach

Media Coverage & Research Visibility

Selected features, spotlights, and public-engagement highlights that extend the reach of the research to broader, non-specialist audiences.

1 Feature

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

Curriculum Vitae

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.

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.

Editorial Board Memberships

Editorial Board Member

Active Member

Journal Name: Frontiers in Computer Science and Artificial Intelligence

View Editorial Board ↗

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

Eudoxia Research Centre (ERC)

February 2026 - Present
  • Fellow Member
  • Recognizing contributions to research and academic collaboration.

TPC & Peer Reviews

TPC Reviewer - ICETCI 2026

2026 IEEE 6th International Conference on Emerging Techniques in Computational Intelligence (ICETCI 2026)

Apr 2026 - Present
6 manuscripts reviewed
  • ICETCI 2026, the Sixth International Conference on Emerging Techniques in Computational Intelligence, hosted at Mahindra University, Hyderabad, India.
  • Publisher: IEEE (IEEE Xplore Digital Library)
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: Computational Intelligence, Deep Learning, AI/ML, NLP, Cybersecurity, Healthcare AI, Sentiment Analysis, and related tracks.

TPC Reviewer - MobiApps 2026

The 12th International Workshop on Mobile Applications 2026

Mar 2026 - Present
  • MobiApps-2026 is co-located with The 13th International Conference on Future Internet of Things and Cloud (FiCloud 2026) and the 22nd International Conference on Mobile Web and Intelligent Information Systems (MobiWIS 2026)
  • Publisher: Springer in the Lecture Notes in Computer Science (LNCS) series.
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: Mobile Applications, Machine Learning, IoT, Security, and M-Services

TPC Reviewer – FET’26

Frontiers of Engineering & Emerging Technologies (FET’26)

Jan 2026 - Present
4 manuscripts reviewed
  • FET’26, organized by the College of Engineering at the University of Bahrain (UOB), in collaboration with the Deanship of Postgraduate Studies and Scientific Research.
  • Publisher: IEEE (IEEE Xplore Digital Library)
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: AI/ML and related tracks

TPC Reviewer – 3ICT 2025

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

Sep 2025 to Nov 2025
6 manuscripts reviewed

Validation ↗

  • The College of Information Technology, University of Bahrain organized 3ICT 2025.
  • Publisher: IEEE (IEEE Xplore Digital Library)
  • Role: Technical Program Committee (TPC) Reviewer
  • Scope: AI, Machine Learning, Data Analytics

Peer Reviewer – EAI Endorsed Transactions on Internet of Things

European Alliance for Innovation (EAI)

April 2026
  • Publisher: European Alliance for Innovation (EAI)
  • Role: Journal Paper Reviewer
  • Reviewed Manuscript: Flood Prediction employing U-Net: A Case Study of Teesta Dam
  • Scope: Machine Learning, Remote Sensing, IoT, and Environmental Monitoring

Peer Reviewer - FCSAI

Frontiers in Computer Science and Artificial Intelligence

Jan 2026
  • Publisher: Al-Kindi Center for Research and Development
  • Role: Journal Paper Reviewer
  • Reviewed Manuscript: Deep Learning for Intelligent Supply Chain Optimization: Enhancing Operational Efficiency and Waste Reduction in U.S. Service Industries.
  • Scope: AI/ML/NLP and related tracks

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.

Taofica Amrine

Assistant Professor, Port City International University | Contact: taofica.amrine@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: