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Michael Adeleke

About

I’m a PhD student in Computer Science at the University of Alabama, working with Dr. Chris Crawford in the Human-Technology Interaction Lab (HTIL). My research explores how sensing technologies, machine learning, and human-computer interaction can create interactive experiences while making computing more accessible and engaging to learn.

My current work focuses on radar-based sensing and micro-Doppler signal processing. Using a 60 GHz radar sensor, I investigate how movements can be captured, processed, and interpreted to support interactive human-technology experiences. I’m also developing SensDS, a platform designed to bring radar sensing and machine learning into hands-on educational settings. Rather than giving students preprocessed datasets and trained models, SensDS lets them collect their own data, train models, test predictions, and investigate how and why those models fail. Through this work, I’m interested in making the underlying decisions and limitations of machine learning visible to learners.

Before joining Alabama, I spent nearly three years conducting research in Dr. Naja Mack’s Human-AI eXperience Lab at Morgan State University. My work spanned virtual reality for concussion education, bias in conversational AI, and culturally responsive computing education. I also taught Introduction to Computer Science I as an adjunct instructor and coordinated CodeBears, a K–12 computing outreach program that introduced students to programming and STEM. These experiences continue to shape my interest in designing technology and learning environments that meet people where they are.

Beyond my individual research projects, I’m interested in human-computer interaction, machine learning for interactive systems, virtual reality for learning, and broadening participation in computing. Across these areas, I aim to build systems that people can interact with, understand, and learn from, while investigating how technology can support more inclusive computing experiences.

Technical skills

Languages
Python, Java, C#, JavaScript, Ruby
Machine learning
PyTorch, Hugging Face Transformers, scikit-learn, Vision Transformers, CNNs, RNN/LSTM, PCA and dimensionality reduction
Signal processing and sensing
micro-Doppler spectrogram analysis, Range FFT, MTI filtering, STFT, MNE (EEG), EmotiBit physiological sensing
Application development
Node.js, Web Serial API, JavaScript library development, real-time browser visualization, PyQt6, pyqtgraph, Unity, VR development, PyInstaller, Git and GitHub Actions
Generative AI and LLMs
Claude, Claude Code, ChatGPT, prompt engineering

Positions

  1. Aug 2025 – present Now

    Graduate Research Assistant

    Human-Technology Interaction Lab, The University of Alabama, Tuscaloosa, AL

    Radar-based sensing systems: signal behavior, data interpretation, and the interactive applications they support. Lead developer of SensDSv2, and positioning radar sensing as a novel modality for ML and robotics education through a literature review spanning HCI, human-robot interaction, and computing education.

  2. Summers 2025 – 2026

    Program Coordinator, Summer AI Research Institute

    Center for Equitable AI & Machine Learning Systems, Morgan State University, Baltimore, MD

    Coordinated and supported 87 undergraduate researchers across two summer cohorts, managing logistics, communication, mentor coordination, and research workflow through final presentations.

  3. Summers 2023 – 2025

    Camp Coordinator, CodeBears

    Human-AI eXperience Lab, Morgan State University, Baltimore, MD

    Coordinated a K-12 computing camp for 160+ campers across three consecutive summers, extended the program to 100+ more students through Spring Break and Saturday Academy sessions, and reached 2,100+ K-12 students through STEM day outreach. Outcomes published at SIGCSE 2024 and BICE 2024.

  4. Dec 2022 – Aug 2025

    Lead Undergraduate Researcher

    Human-AI eXperience Lab, Morgan State University, Baltimore, MD

    Applied systems across AI, VR, and STEM education, including VR concussion education, conversational AI bias detection, and K-12 outreach.

  5. Jan 2025 – May 2025

    Adjunct Faculty

    Department of Computer Science, Morgan State University, Baltimore, MD

    Instructor of record for Introduction to Computer Science I, teaching 15 students, with curriculum development in computing and emerging technologies.

  6. May 2023 – Aug 2023

    Summer Research Assistant

    Human-Technology Interaction Lab, The University of Alabama, Tuscaloosa, AL

    Interactive learning systems integrating robotics, physiological sensors, and machine learning.

  7. Jun 2022 – Aug 2022

    Information Technology Intern

    Lavner Education, Baltimore, MD

    Set up and maintained on-site hardware, software, and network connectivity, and handled technical support for staff and students. Taught classroom sessions, helped students debug their code, and ran weekly inventory.