JOSPETER JONATHAN
Academician at the University of Dodoma (UDOM) teaching Physics, Embedded Systems, and IoT. Dedicated to bridging theoretical research with practical, intelligent hardware solutions.
About Me
I am a versatile engineer and researcher specializing in the fusion of Artificial Intelligence, the Internet of Things (IoT), and Robotics. My passion lies in developing autonomous systems that solve high-impact, real-world challenges through elegant hardware-software integration.
With a background in Physics and Electronics, I bridge the gap between low-level hardware design and high-level AI deployment. My research focuses on optimizing neural networks for edge devices—making "intelligence" efficient, accessible, and fast.
Core Expertise
AI & ML
IoT & Robotics
Engineering
Education
Bsc Physics (Electronics)
UDOM • 2021 - 2024
Awards
IAAC (International Astrophysics and Astronomy Competition) Gold Medalist
Achievement • 2023
Best Department and College Research Project 2024 (AI & Robotics
Achievement • 2024
Technical Projects
Intelligent Vehicle Safety and Accident Alert System
A smart vehicle safety system that automatically detects accidents and sends real-time alerts with location and incident data to police stations, enabling faster emergency response
Computational Intelligence Platform for Drug Discovery
A computational AI platform that assists drug discovery by analyzing molecular data and supporting candidate compound identification
Spectrophotometer Analysis
A specialized device for precise analysis of oil and biomass content using integrated optical sensing and local data processing.
AI Security System
In-browser object detection and real-time video stream processing for decentralized security monitoring with 98% accuracy.
Publications & Papers
Research Under Review
I am currently finalizing several papers on Embedded Systems and AIoT. Academic publications will be listed here soon. Check back shortly for PDFs and source code repositories.
Patents & Innovations
A VEHICLE SAFETY SYSTEM WITH VISION INTELLIGENCE FOR ACCIDENT DETECTION AND VIGILANCE
Technical Abstract
The present invention relates to a vehicle safety system designed to detect and alert vehicle accidents using sensor data fusion and vision intelligence. The system integrates various sensors, including motion sensor, GPS, Load cell, and camera module embedded in a PCB (Printed Circuit Board), along with deep learning-based vision intelligence algorithms to provide real-time accident detection and alerting capabilities. The system aims to improve road safety by enhancing accident prevention, and response mechanisms which is network and non network based.
AI-DRIVEN SYSTEM FOR MOLECULE DISCOVERY AND MATERIAL SCIENCE
Technical Abstract
The present invention relates to an AI-driven platform for molecule discovery, applicable to drug development, energy storage, catalysis, polymers, and nanomaterials. It integrates a Molecule Generation Engine optimized using CMA-ES, a Molecules Module for storage and analysis, and performance optimization tools to ensure scalability and security. This system streamlines molecule design and validation, significantly reducing development time and costs, fostering transformative advancements across various industries
A VEHICLE SAFETY SYSTEM WITH VISION INTELLIGENCE FOR ACCIDENT DETECTION, DRIVER MONITORING AND SAFETY ANALYTICS
Technical Abstract
The present invention relates to a vehicle safety system that integrates sensor fusion and vision intelligence for accident detection, driver vigilance and safety analytics. The system integrates a motion sensor, GPS, load sensors, vision-intelligent camera, biometric systems and transdermal alcohol sensors, utilizing deep learning algorithms and internet of things for real-time monitoring and analysis. It proactively detects driver fatigue by tracking facial landmarks such as eye closure, yawning, measures driver’s health and alcohol level using biometric system and non-invasive alcohol sensors respectively. This comprehensive system improves road safety, reduces false alarms, ensures prompt response and offers reliable accident analytics for insurance and legal resolution
Events
UDOM Research Week
Presented an award-winning Final Year Project on intelligent vehicle safety system at UDOM Research Week, recognized as the top project in both the department and the college
49th Dar es salaam International Trade Fair ( SABASABA )
Presented CanizaroAI at the 49th Dar es Salaam International Trade Fair (DITF), demonstrating AI-driven solutions to real-world challenges.
Tanzania Startup Week
Represented MaxwellTrack Tech Company at the Tanzania Startup Week, demonstrating innovative IoT and telematics solutions.
Showing 3 of 3 records
Timeline
UDOM Academician
Instruction and research focus on Physics, Embedded Systems, and AIoT applications within the academic framework.
- Leading departmental research initiatives in AIoT sensor networks and data fusion.
- Facilitating hands-on laboratory sessions for advanced Embedded Systems architecture.
- Developing modernized curriculum materials for Physics and IoT integration.
AIoT Engineer & Researcher
Spearheaded the development of intelligent tracking solutions and edge-computing protocols for industrial fleet management.
- Architected real-time AIoT monitoring systems for high-value asset tracking and telemetry.
- Optimized firmware for battery-efficient GPS edge nodes, increasing field life by 30%.
- Implemented predictive maintenance models for vehicle diagnostics and driver behavior analysis.
Let's Connect
Reach me out for professional or academic inquiries
Research & Development
AIoT Engineer & AI Researcher
I am open to research collaboration and the development of high-impact AI and robotics systems.