Research & Projects

Trustworthy, multimodal AI systems advancing healthcare and neuroscience. Exploring the intersection of artificial intelligence, neuroscience, and social impact.

Brain-to-Speech Decoding
NeuroscienceHealthcare

Brain-to-Speech Decoding

Developing a multimodal AI system that integrates EEG, fMRI, and laryngeal motion signals to decode neural activity and restore speech communication.

Deep Learning, Signal Processing, Multimodal Fusion
Restoring communication for non-verbal patients
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Trustworthy AI for Skin Cancer Detection
Trustworthy AIHealthcare

Trustworthy AI for Skin Cancer Detection

Building explainable and bias-mitigated machine learning models for accurate skin cancer diagnosis across diverse populations.

XAI, Bias Mitigation, Computer Vision
Equitable healthcare diagnostics
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GAN-Based RF Circuit Generation
Engineering

GAN-Based RF Circuit Generation

Leveraging Generative Adversarial Networks to automate the design and optimization of radio frequency circuits.

GANs, Circuit Optimization, RF Engineering
Automated circuit design workflows
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AI-Enhanced STEM Classroom Tool
Education

AI-Enhanced STEM Classroom Tool

Intelligent observation system using computer vision and NLP to analyze teaching effectiveness and student engagement.

Computer Vision, NLP, Behavioral Analysis
Improving STEM education quality
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AWS HBCU Competition Winner
Innovation

AWS HBCU Competition Winner

Led "Qloud Clan" team to first place, developing an Industrial IoT system for Volkswagen addressing supply chain vulnerabilities.

IoT, Cloud Computing, Cybersecurity
Enhanced supply chain security
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Explainable AI for Medical Diagnostics
HealthcareTrustworthy AI

Explainable AI for Medical Diagnostics

Developing transparent AI models for clinical decision support with visual explanations and confidence scores.

XAI, Medical Imaging, Clinical Validation
Trust in AI-powered healthcare
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Publications & Presentations

Trustworthy Machine Learning Approaches for Skin Cancer Detection

Blessing I Adeika, et al.

ASEE Annual Conference & Exposition, 2024

This research explores bias mitigation and explainability techniques in deep learning models for dermatological diagnosis, ensuring equitable outcomes across diverse skin tones and demographic groups.

Multimodal Neural Signal Processing for Speech Restoration

Blessing I Adeika, et al.

In Preparation

Novel approach to brain-computer interfaces that combines EEG, fMRI, and laryngeal motion data for accurate speech decoding in patients with severe speech impairments.

Awards & Recognition

AWS HBCU Business Case Competition

2023 - 1st Place

Led "Qloud Clan" team to victory with innovative Industrial IoT solution for Volkswagen, addressing critical supply chain and cybersecurity challenges.

Academic Trailblazer Award

2024

Recognized for outstanding academic achievement and research contributions at Morgan State University, advancing AI and neuroscience research frontiers.

NSF NRT Fellowship

2025

Awarded prestigious National Science Foundation fellowship for research in trustworthy AI and neuroscience applications.