Researcher | Systems Programmer | Prospective PhD Candidate (Targeting TUM)
I am an active researcher and software engineer seeking a PhD position at the Technical University of Munich (TUM). My core research bridges the gap between environmental perception, explainable machine learning (XAI), and robust system engineering. I am deeply passionate about developing Trustworthy AI systems, focusing on Multimodal Fusion, Computer Vision, and addressing real-world socio-technical challenges.
- Explainable & Trustworthy AI: Formalizing justification mechanisms for hallucinations in Generative AI; developing robust evaluation frameworks for enhanced predictive reliability.
- Computer Vision & Automated Systems: AI-driven proctoring systems, real-time activity detection, and multi-scale local binary pattern-convolutional neural networks (MSLBP-CNN) for medical diagnostics.
- Algorithmic Bias & Inclusivity: Quantifying algorithmic bias, addressing the "White Default" paradigm, and integrating African narratives into AI models.
- Distributed Computing & Optimization: Task scheduling in Fog-Cloud computing utilizing Machine Learning and Metaheuristic approaches.
- An Enhanced Arithmetic Optimization Algorithm for Efficient Task Scheduling in Fog-Cloud Computing (2026) - Journal of Institutional Research, Big Data Analytics and Innovation
- Systematic Literature Review on Entrepreneurship Potential Prediction (2026) - Journal of Institutional Research, Big Data Analytics and Innovation
- An Enhanced Web-Based Examination System using Automated Proctoring and Background Activity Detection (2025) - Journal of Institutional Research, Big Data Analytics and Innovation
- Assessing The Adequacy of Artificial Intelligence Tools for African Narratives: Towards Responsible and Cultural Inclusivity (2025) - FUW Trends in Science & Technology Journal
- An Improved Automated Detection Approach to Hepatitis B Virus Using Multi-Scale Local Binary Pattern-Convolutional Neural Network (MSLBP-CNN) (2025) - KWASU Journal of Information, Communication and Technology
- Systematic Review of Task Scheduling in Fog-Cloud Computing: Machine Learning and Metaheuristic Approaches (2025) - Journal of Institutional Research, Big Data Analytics and Innovation
- Implementing an Ai-Driven Proctoring System: Real-Time Detection of Disruptive Sounds and Unauthorized Visual Infractions (2024) - International Journal Of Engineering Research And Development
- Design and Implementation of Data Cryptography System (2020)
I build scalable, high-performance web applications and deploy trustworthy AI models into production environments.
- 🛠️ Core Stack: React, Next.js, Node.js, TypeScript.
- 🧪 AI/ML: Multimodal Fusion, Uncertainty Estimation, Behavioral Understanding, Computer Vision.
- 📂 Projects: All of my projects are available at braviaprime.com/projects, including my master's research implementation, and my undegraduate research implementation.
- 📝 Writing: I regularly write articles on braviaprime.com/blog.
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