Habibor Rahman Rabby

Research Profile

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 91+ citations. It also includes 1 patent 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 23+ 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.

Scholarly Service

Academic Roles & Service

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

4TPC Roles 23Peer Reviews 1Editorial 5Memberships

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

Scholarly Service

TPC Roles

Technical Program Committee appointments

Manuscript Reviews

Peer Reviews

Conference TPC reviews + invited journal reviews

Editorial Role

Editorial Board Member

Editorial and journal service

Memberships

Professional Memberships

IEEE, ACM, AAAS, and related bodies

Research Dashboard

Published Papers

Journals

Conferences

Citations

6 h-index 5 i10-index

Google Scholar

Accepted

Under Review

Published Papers by Year

Published Paper Mix

Intellectual Property

Innovation & Intellectual Property

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

CA IP Record(s)

1Total 1Submitted / active 0Upcoming 1Granted / Registered

CA Registered

Machine Learning-Based Predictive Maintenance System for Industrial Equipment

Registration No.1247031 RegisteredJul 2026 Issuing OfficeCanadian Intellectual Property Office Registry Record

Research Support

Research Funding & Grants

Competitive funding, grant support, and research resource recognition.

1 Record

1Total 1Awarded / active 0Completed 0Pipeline

Awarded International Research Grant, UTFORSK Programme Featured

Sustainable AI Literacy in Higher Education through Multilateral Collaborations (SAIL-MC)

Funder: Norwegian Directorate for Higher Education and Skills (HK-dir)

Supported AI cybersecurity research published in Scientific Reports (Nature Portfolio, 2026).

Supported AI cybersecurity research published in Scientific Reports (Nature Portfolio, 2026)

AI LiteracyHigher EducationMultilateral CollaborationAI Cybersecurity

Project No.UTF-2024/10225 HostKristiania University College LocationOslo, Norway PeriodDec 2025 – Apr 2026 RoleResearch Contributor

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

2026 Research Spotlight GrowKudos

GrowKudos Research Spotlight

Featured publication: “Privacy-Preserving Multimodal Federated Learning Pipeline for Cyber-Resilient Healthcare Systems.”

Featured on GrowKudos — a public research engagement platform serving 800,000+ researchers across 160+ countries Selected to amplify federated learning research for broader, non-specialist audiences

PlatformGrowKudos Reach800,000+ researchers Coverage160+ countries Year2026 View coverage

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

Download Full CV

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 – 3ICT 2026

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

Aug 2026 - Nov 2026

No review assignment received yet.

Peer Reviewer — 4th International Conference on Computing Advancements (ICCA 2026)

Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh

July 2026

5 manuscripts reviewed

Invited by the Conference Chair to review 5 full manuscripts in the Artificial Intelligence & Intelligent Systems track via Microsoft CMT
Reviewed submissions spanning medical imaging AI (low-dose CT reconstruction, cross-dataset lung cancer classification), lightweight deep learning for IoT/edge deployment, precision-agriculture disease detection, and calibrated ML for injury prediction
Assessed technical soundness, methodological rigor, statistical validity, novelty, and reproducibility of each submission
Provided structured recommendations and detailed feedback to authors and meta-reviewers

TPC Reviewer - ICETCI 2026

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

Apr 2026 - Aug 2026

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.

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

TPC Reviewer – FET’26

Frontiers of Engineering & Emerging Technologies (FET’26)

Jan 2026 - Apr 2026

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

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

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

Certifications

Verified Records

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Open the full gallery of certificates, reviewer recognitions, and professional training records.

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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

Email:

HabiborRabby@gmail.com