Utility Patent
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 76+ 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 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.
Research Dashboard
Published Papers
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Journals
0
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Conferences
0
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Citations
76
5 h-index
3 i10-index
Google Scholar
Accepted
0
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Under Review
0
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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.
CA / UK
Patent(s)
2Total
1Submitted / active
1Upcoming
0Granted
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
Research Support
Research Funding & Grants
Competitive funding, grant support, and research resource recognition.
1
Record
1Total
1Awarded / active
0Completed
0Pipeline
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
Scholarly Service
Academic Roles & Service
Editorial appointments, technical program committee roles, peer-review service, and active professional memberships.
4TPC Roles
23Peer Reviews
1Editorial
5Memberships
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.
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
0
Scholarly Service
TPC Roles
Technical Program Committee appointments
0
Manuscript Reviews
Peer Reviews
Conference TPC reviews + invited journal reviews
0
Editorial Role
Editorial Board Member
Editorial and journal service
0
Memberships
Professional Memberships
IEEE, ACM, AAAS, and related bodies
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
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
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
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
- 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
Peer Reviewer — 4th International Conference on Computing Advancements (ICCA 2026)
Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh
July 2026
- 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
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