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Hire Yusuf U.

United States

USD 55 /hr

AI-Driven Cybersecurity Researcher | Adversarial ML · LLM Security · Penetration Testing | IEEE Author · 220+ Citations

Profile Summary

I am a cybersecurity researcher and PhD candidate specializing in AI-driven threat detection, adversarial machine learning, and LLM security. My work sits at the intersection of offensive and defensive AI, I build and evaluate models that detect phishing, analyze malware, secure next-generation networks (5G/6G), and expose how large language models can be weaponized by threat actors. My research has been published in IEEE Access and presented at IEEE AIIoT, UEMCON, and CCWC conferences, accumulating 200+ citations and 155,000+ paper downloads. I have received multiple Best Presenter Awards and the Excellence in Research Award at Quinnipiac University (2025). I bring hands-on experience across the full AI security lifecycle: designing ML pipelines, building threat detection systems using Python, TensorFlow, and PyTorch, conducting penetration testing and vulnerability assessments, and deploying secure cloud architectures on AWS (AWS Certified Security-Specialty). I have also co-founded a university cybersecurity clinic, designed 10+ hands-on security labs, and led AI/ML research funded by NASA and NSF. I am available for cybersecurity research consulting, adversarial ML assessments, AI security audits, technical writing, and expert review of security systems and publications.

Subject Matter Expertise

• ☆ Computer Science
• ☆ Information Technology
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Data Security
• ☆ Cybersecurity
• ☆ Information Retrieval
• ☆ Computer Science Education
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ SAS
• ☆ LaTex
• ☆ Oracle
• ☆ Device Fabrication
• ☆ Risk Management

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Clinical Trial Documentation, Non-Medical Regulatory Writing, Technical Writing, Copywriting, Creative Writing, General Proofreading & Editing

Research User Research, Meta-Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Digital Strategy Consulting, Operations Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Recipe Development, Quality Assurance & Control (QA/QC), Product Compliance , Reverse Engineering

Work Experience

Cybersecurity R&D Engineer (AI Focus)

iSenseHUB

June 2025 - Present

Cybersecurity and AI Solutions

Cyproteck

May 2025 - Present

Research Assistant

Quinnipiac University

August 2023 - Present

Cybersecurity Research Assistant

Quinnipiac University

August 2023 - May 2025

CYBERSECURITY ANALYST

National Assembly

September 2020 - August 2023

Education

Master in Cybersecurity

Quinnipiac University

August 2023 - May 2025

BS in Computer Science

ESGT University

August 2017 - September 2020

Certifications

• Ethical Hacking & Penetration Testing

  Quinnipiac University

  https://www.credly.com/badges/87e01430-0273-43c3-a94e-9ef56e4e222d/public_url

  December 2024 - Present

• Applied Healthcare Cyber Risk Management

  Quinnipiac University

  https://www.credly.com/badges/afa8cdc5-8064-47a7-9dd9-04f6fc3a95ac/public_url

  December 2024 - Present

• AWS Certified Security Specialty

  AWS

  https://www.credly.com/badges/a31e030e-d704-4fc1-940f-000312914d09/public_url

  September 2024 - Present

• CompTIA SecurityX

  CompTIA

  https://www.credly.com/earner/earned/badge/d04cf1cb-0cdc-44d6-bc16-68e7d8ffd946

  June 2024 - Present

• CompTIA PenTest

  CompTIA

  https://www.credly.com/earner/earned/badge/69ecd11f-7ab0-4f36-9d39-8bc6ca9b9679

  June 2024 - Present

Publications

JOURNAL ARTICLE

Usman, Y., Oladipupo, H., During, A.D., Akl, R., Chataut, R.(2025). AI, ML, and LLM Integration in 5G/6G Networks: A Comprehensive Survey of Architectures, Challenges, and Future Directions . IEEE Access. 13. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 168914-168950.

Yusuf Usman, Habeeb Oladipupo, Adegboyega D. During, Akl Robert, Robin Chataut (2025). AI, ML, and LLM Integration in 5G/6G Networks: A Comprehensive Survey of Architectures, Challenges, and Future Directions . IEEE Access.

Yusuf Usman, Chidimma Judith Ihejirika, Stephen Nonye Offor, Robert Akl, Robin Chataut (2025). Green Cybersecurity: Leveraging AI, ML, and LLMs to Optimize Energy, Threat Detection, and Sustainability Frameworks . IEEE Access.

Usman, Y., Ihejirika, C.J., Offor, S.N., Akl, R., Chataut, R.(2025). Green Cybersecurity: Leveraging AI, ML, and LLMs to Optimize Energy, Threat Detection, and Sustainability Frameworks . IEEE Access. 13. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 159345-159379.

Yusuf Usman, Mary Nankya, Allan Mugisa, Aadesh Upadhyay, Robin Chataut (2024). Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques . IEEE Access.

Nankya, M., Mugisa, A., Usman, Y., Upadhyay, A., Chataut, R.(2024). Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques . IEEE Access.

M.Nankya, A. Mugisa, Y. Usman, A. Upadhyay, and R.Chataut "Unveiling Cyber Threats: Security and Privacy in E-Health Systems: A Review of AI and Machine Learning Techniques". IEEE ACCESS, 2024 .

CONFERENCE PAPER

Usman, Y., Vitashkevich, D., Muriuki-Mureithi, C.A., Akl, R., Chataut, R.(2025). AI-Enhanced Deep Neural Network Architecture for Accurate Channel Estimation in 6G Networks . 2025 IEEE 6th Annual World AI Iot Congress Aiiot 2025. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 732-736.

Usman, Y., Muriuki-Mureithi, C.A., Vitashkevich, D., Akl, R., Chataut, R.(2025). Deep Reinforcement Learning for Adaptive Beamforming in 6G Massive MIMO Systems Using DeepMIMO . 2025 IEEE 6th Annual World AI Iot Congress Aiiot 2025. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 699-706.

Usman, Y., Girardi, B., Akl, R., Gyawali, P.K., Chataut, R.(2025). PhishProof: AI-Driven Phishing Detection with Optimized Feature Selection for Scalable Security . 2025 IEEE 6th Annual World AI Iot Congress Aiiot 2025. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 839-845.

Yusuf Usman, Robin Chataut, Chowdhury Mohammad Abid Rahman, Sohan Gyawali, Prashnna K Gyawali(2024). Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models . 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 0226-0232.

Yusuf Usman, Prashnna K Gyawali, Sohan Gyawali, Robin Chataut(2024). The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems . 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 169-175.

Yusuf Usman, Robin Chataut, Prashnna Kumar Gyawali(2024). Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection . 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 0548-0554.

Unveiling Cyber Threats: A Comprehensive Analysis of Connecticut Data Breaches @INPROCEEDINGS{asee_peer_45786 author = "Robin Chataut, YUSUF USMAN, and Frederick Scholl" title = "Unveiling Cyber Threats: A Comprehensive Analysis of Connecticut Data Breaches" booktitle = "2024 ASEE North East Section" year = "2024" month = "April" address = "Fairfield, Connecticut" publisher = "ASEE Conferences" note = {https://peer.asee.org/45786} number = {10.18260/1-2--45786} } . ASEE North East Section Proceedings.

Chataut, R., Usman, Y., Rahman, C.M.A., Gyawali, S., Gyawali, P.K.(2024). Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models . 2024 IEEE 15th Annual Ubiquitous Computing Electronics and Mobile Communication Conference Uemcon 2024. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 226-232.

Chataut, R., Upadhyay, A., Usman, Y., Nankya, M., Gyawali, P.K.(2024). Spam No More: A Cross-Model Analysis of Machine Learning Techniques and Large Language Model Efficacies . Proceedings of the 8th Cyber Security in Networking Conference AI for Cybersecurity Csnet 2024. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 116-122.

R. Chataut, A. Upadhyay, Y. Usman, P.K. Gyawali "Spam No More: A Cross-Model Analysis of Machine Learning Techniques and Large Language Model Efficacies." The 2024 8th Cyber Security in Networking Conference (IEEE CSNet 2024) .

Usman, Y., Gyawali, P.K., Gyawali, S., Chataut, R.(2024). The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems . 2024 IEEE 15th Annual Ubiquitous Computing Electronics and Mobile Communication Conference Uemcon 2024. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 169-175.

Chataut, R., Gyawali, P.K., Usman, Y.(2024). Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection . 2024 IEEE 14th Annual Computing and Communication Workshop and Conference Ccwc 2024. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 548-554.

OTHER

Usman, Y., Upadhyay, A., Gyawali, P.K., Chataut, R.(2024). Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks . Arxiv.

YUSUF USMAN, Aadesh Upadhyay, Prashnna Gyawali, Robin Chataut(2024). Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks .