I'm a Ph.D. Candidate in Computer Science at Bowie State University, specializing in Machine Learning, Biomedical Signal Processing, and AI for Healthcare. I develop cutting-edge deep learning systems that translate research into real-world clinical applications.

• 🫀 Cardiac Health AI: Developing multi-stage CNN-Transformer models with attention mechanisms for automated ECG signal analysis and arrhythmia detection
• 🧠 Mental Health Tech: Pioneering emotion detection systems from speech using deep learning for accessible mental health screening
• 🤖 Generative AI: Building text-to-image synthesis systems and exploring multimodal AI applications
• ⚕️ Clinical AI Systems: Implementing uncertainty quantification in medical AI for reliable clinical decision support

• Publications: 3 peer-reviewed papers in international AI & signal processing conferences
• Citations: 4+ (Google Scholar)
• Impact: Research addresses healthcare challenges affecting 300+ million people globally

Building autonomous robot navigation systems with ROS2, computer vision, and AI-driven decision making

Tech Stack: ROS2, Python, C++, PyTorch, OpenCV, SLAM, Path Planning Algorithms

Led development of enterprise CRM SaaS platform serving 500+ agents

Tech Stack: Node.js, Laravel PHP, AWS (Lambda, S3, RDS), React, PostgreSQL

Developed ride-sharing platform with real-time matching and location-based services

Tech Stack: React Native, Flutter, Firebase, Google Maps API, Node.js

• Graduate Assistant at Bowie State University (2021-2024)
• Taught 100+ students across courses: Systems Programming, Computer Organization, Data Science
• SURI Research Mentor: Guided 3 undergraduate researchers on ML/cybersecurity project
• Workshop Instructor: Led seminars on AI in Healthcare, Big Data, and Data Science

Specializations: Deep Learning • CNNs • Transformers • Attention Mechanisms • Signal Processing • Computer Vision • NLP • Uncertainty Quantification

Full Stack: React • Node.js • Laravel • Express • FastAPI • React Native • Flutter

Infrastructure: AWS (Lambda, S3, EC2) • Docker • Kubernetes • CI/CD • Git

Robotics: ROS2 • SLAM • Path Planning • Computer Vision • Sensor Fusion

International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

• Accepted for IEEE Conference Proceedings
• Novel multi-stage CNN-Transformer architecture with uncertainty quantification
• Achieves >90% P-wave and >92% T-wave detection accuracy

13th International Conference on Signal, Image Processing, and Pattern Recognition (SPPR)

• First comprehensive comparison of signal processing techniques for emotion detection
• DOI: 10.5121/csit.2024.142218 | 4+ Citations

International Graduate School Research Conference (IGSRC)

• Novel integration of wavelet analysis with Gibbs statistical methods

🥈 Bulldog Pitch Competition - Second Runner-Up (2022)
For AlGhoul generative AI project

🏅 BSU Public Health Informatics Technology Capstone Award (2022)
Outstanding health informatics innovation

🎓 First Class Honours - KNUST (2016)
Top 5% of graduating class

📜 Dr. D.K. Olukoya Award for Academic Excellence (2019)

🔬 PhD Dissertation: "Automatic P-T Wave Delineation in ECGs Using Attention-Based Deep Learning"
🤖 Autonomous Navigation: Building AI systems for robot fleet management
📊 Healthcare Analytics: Developing predictive models for cardiac disease detection
🧠 Mental Health AI: Creating accessible emotion recognition tools from speech

• 🏥 AI for Healthcare: Clinical decision support systems, medical imaging, biomedical signals
• 🤖 Robotics & Autonomous Systems: SLAM, path planning, computer vision
• 🧠 Deep Learning Architecture: Transformers, attention mechanisms, uncertainty quantification
• 🔗 Blockchain & Web3: Smart contracts, dApps, decentralized systems
• 🎨 Generative AI: Text-to-image synthesis, multimodal models
• 🏗️ Modern Web: Vue.js, Nuxt, Microfrontend architecture with module federation

• 🏥 Healthcare AI Projects: Medical imaging, signal processing, clinical decision support
• 🤖 Robotics Applications: Autonomous systems, computer vision, ROS2
• 🔗 Blockchain & dApps: DeFi, smart contracts, Web3 applications
• 📱 Mobile Health Apps: Flutter/React Native apps for health monitoring
• 🧠 Research Collaborations: Deep learning, AI for social good, accessible technology

Email: idokoagbo@outlook.com
Location: MD, USA
Status: Ph.D. Candidate

• 🎓 Teaching 100+ students while conducting cutting-edge AI research
• 🏥 My research could help detect heart disease in 33+ million people worldwide
• 🤖 Building robots that navigate autonomously using AI
• 🌍 Passionate about making healthcare accessible through technology
• 📚 Published researcher with work cited internationally
• 🎨 Created AlGhoul - a generative AI platform for creating art from text

Committed to developing AI systems that improve lives, advance medicine, and make healthcare more accessible to underserved populations.