Driving innovation through hands-on projects that solve complex challenges with cutting-edge engineering, creative design, and precise technical execution. These works demonstrate a proactive approach to turning ideas into impactful, real-world solutions.
My Current Project is a research paper to be published with IEEE.
In this project, my team and I developed a climate resilience strategy for Toronto’s heat-vulnerable neighborhoods, Jane-Finch and Scarborough Village. We proposed sustainable engineering solutions such as road ventilation grilles, cool pavements, hydration stations, and green corridors to reduce urban heat. Our medium- and long-term plans focused on retrofitting community shelters and upgrading older homes with energy-efficient cooling systems. The proposal emphasized sustainability, affordability, and community impact, aligning with Toronto’s TransformTO Net Zero goals.
We Won the YEC level and will be representing York University and our Engineering School at the Provincial level at OEC - Ontario Engineering Competition.
Developed a sustainable, automated plant care system that integrates MATLAB, Java, and Arduino microcontrollers to intelligently manage irrigation. The system collects real-time soil moisture and environmental data through sensors, processes the information in MATLAB for analysis and decision-making, and communicates with the Arduino to control water flow and timing. A Java-based interface was implemented for user monitoring and customization, allowing adjustments to watering thresholds and schedules. By optimizing both amount and timing of irrigation, the project reduces water waste, promotes plant health, and demonstrates the potential of combining software algorithms with embedded systems for sustainable agriculture and smart home applications.
Designed and implemented a budget-friendly CO2 monitoring system in MATLAB aimed at assisting individuals with disabilities. The system integrates both visual and audible feedback mechanisms, ensuring accessibility for users with varying needs. Visual cues provide clear on-screen alerts, while audible signals enhance usability for those with visual impairments. By focusing on low-cost components and efficient software design, the project demonstrates how accessible assistive technologies can be developed without compromising functionality. This solution highlights the role of engineering in promoting inclusivity, affordability, and independence for people with disabilities.
Implemented hardware interrupts within a microcontroller to improve task execution efficiency and ensure smoother performance of the user interface. Leveraged C/C++ for embedded system programming to handle real-time events and optimize system responsiveness. Integrated Bash scripting to automate workflows, manage system tasks, and streamline development processes. Additionally, applied R programming to build predictive models, enabling the system to forecast future events and adapt operations proactively. This combination of low-level programming, automation, and predictive analytics resulted in a more efficient, intelligent, and user-friendly embedded solution.
CPU Test Design
Designed and implemented a CPU datapath using the RISC-V architecture and Verilog HDL, enabling communication across four defined channels for instruction execution. The project involved computing the CPU’s clock rate based on datapath constraints and instruction flow, analyzing how different operations impact system performance. Comprehensive lab testing was conducted to validate the design, including measuring and verifying the charging and discharging cycles of key components, ensuring accurate timing and stable signal propagation. This project emphasized the practical application of computer architecture, digital design, and hardware validation techniques, bridging theoretical concepts with hands-on implementation.
TrackBotⓒ
Initiated the development of a prototype robotic system designed to support the United Nations’ efforts in delivering humanitarian aid to dangerous or inaccessible areas. The autonomous bot is capable of transporting essential supplies directly to individuals in critical situations, reducing risk to human aid workers. Built and programmed using C++ and Arduino, the prototype integrates sensor-based navigation and control logic to ensure reliable operation in challenging environments. This project demonstrates how robotics and embedded systems can be applied to global humanitarian challenges, combining innovation with social impact.