Hi, I’m Aliyu — AI Researcher & Data Scientist
PhD student in Advanced Computing, building intelligent systems through machine learning, data science, and applied AI research.
About Me
I’m an AI Researcher and Data Scientist pursuing a PhD in Advanced Computing at Morgan State University. I hold a Master’s degree in Advanced Computing and a Bachelor’s degree in Analytics, specializing in Data Analytics. My expertise spans artificial intelligence, machine learning, statistical modeling, computer vision, and predictive analytics.
My work bridges academic research and practical development, with interests in deep learning, intelligent systems, and quantum AI. I have experience developing and deploying AI-powered applications, integrating machine learning models, generative AI, and automation to address real-world challenges.
I’m passionate about advancing AI research and transforming innovative ideas into scalable, impactful technologies.
5+
Years in Data & AI
20+
Projects Completed
Skills
Programming Languages: Python | Java | R | SQL | C++ | C
Tools & Platforms: AWS | Power BI | Tableau | Git | Google Colab, Apache Spark
Libraries & Frameworks: PyTorch | TensorFlow | Scikit-learn | Pandas | NumPy | Matplotlib | Seaborn | Ultralytics
Research Interests
• Machine Learning & Predictive Analytics
• Computer Vision & Image Understanding
• Natural Language Processing & LLMs
• Deep Learning Architectures
• Data-Driven Decision Systems
• Quantum Computing
Research & Publications
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Master’s Thesis: An End-to-End AI Surveillance System Using Multi-Source Data Fusion and Visual Intelligence for Public Safety
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Kim VanExel, Kevin Quintero, Aliyu Bello Aliyu, Jin Guo, Guobin Xu, Xing Liu, and Lin Deng. Distributed High-Performance Computing for Accelerating Image Classification Workloads. Accepted at ICCCN 2026.
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Aliyu Bello Aliyu, Jin Guo, Guobin Xu, and Lin Deng. An AI Surveillance Framework with Multi-Source Fusion and Temporal Validation for Public Safety. Accepted at SERA 2026.
Projects
01
AI Powered Surveillance System
An end-to-end AI-powered surveillance system for public safety monitoring with multi-source data fusion, temporal validation, and vision-language scene interpretation.
02
Teamwork Success Prediction
Developed machine learning models to predict project milestone success using five datasets. Applied data preprocessing, statistical evaluation, hyperparameter tuning, and LIME for model interpretability
03
AI-Powered Crop Protection
An AI-powered crop monitoring platform that uses drone imagery and deep learning to detect plant diseases, pests, and nutrient deficiencies in real time, helping farmers prevent losses through actionable insights.
04
Predictive Analysis for Hazardous Material Transportation Incidents
Applied geospatial data analysis and machine learning techniques to transportation incident datasets, leveraging Decision Tree classification to identify high-risk patterns, optimize safety assessment, and support data-driven logistics recommendations.
Professional Experience
JUXTOPIA (Jun 2025 – Aug 2025)
Software Engineer Apprentice
Contributed to implementing AI algorithms for Human Activity Recognition (HAR) using DeepLearning4J (DL4J) and LSTM networks. Trained HAR models with JiBand wearable data, used OpenSim for sensor visualization, and supported the development of AI-driven e-training systems.
Education
Degrees
Master of Science in Advanced Computing
Morgan State University, Baltimore, MD, USA | 2024 – 2026
GPA: 3.8 / 4.0
Bachelor of Science in Analytics (Data Analytics Specialization)
University of Prince Edward Island, Charlottetown, PEI, Canada | 2019 – 2023
Certifications
• IBM Generative AI Engineering
• AWS Academy Graduate
Leadership & Extracurriculars
Services & Outreach
- Judge at the 31st Annual Undergraduate & Graduate Research Symposium at Morgan State University
- Reviewer ICCCN 2026
- International model united nations (IMUN)
Teaching & Mentoring
- Introduction to Computing (COSC 110) Morgan State University | Spring 2025, Fall 2025, Spring 2026
- Tutoring in Math, Comp. Sci (MCS-3050) UPEI | Fall 2023