Projects

The project titled “Smart Storage and Management for Clean Energy” was implemented as a pilot initiative to enhance DTU’s solar energy utilization and reduce overall electricity consumption through smart monitoring and storage solutions. The project was carried out under the Clean Energy Division of the Nodal Centre of Excellence in Energy Transition (NCEET), in collaboration with M/S Ezinore Private Limited, a student-led startup incubated at DTU Innovation and Incubation Foundation (DTU-IIF).

Under the guidance of Prof. Anil Kumar, the project involved the installation of a 2 kW solar panel system along with 5 kWh and 10 kWh Spark+ smart energy storage units developed by Ezinore. These were integrated with a cloud-based monitoring system providing real-time data on parameters such as state of charge, voltage, temperature, and energy distribution across grid, solar, and battery sources.

The project is a community-oriented initiative of DTU aimed at improving the working conditions and efficiency of waste collectors. Funded under the University Research and Development Fund (URDF) the project is led by Prof. Qasim Murtaza and executed by Team Defianz Racing, DTU.

The project addresses key challenges faced by waste workers such as physical strain, inefficient waste handling, and exposure to hazardous materials. The new vehicle is being designed as a manual/motor-assisted model with a lightweight and durable frame, capable of carrying around 600 kg of waste per day. It includes multiple segregated compartments for dry, wet, and recyclable waste, making waste management safer and more organized.

The Zero Waste Management Project aims to transform DTU into a model campus for environmental stewardship by minimizing waste generation, maximizing resource recovery, and promoting a circular economy within the university ecosystem.

With over 8,000 students, faculty, and staff, DTU generates significant quantities of solid waste daily, including paper, plastic, food waste, and e-waste. This project seeks to address these challenges through a comprehensive, data-driven, and community-engaged approach to waste management.

Integrate AI into the EMR being developed. AI could be useful for creating meaningful summaries from previous patient notes, especially for long-term patients, as well as generating reminders for follow-ups and suggesting investigations or differential diagnoses. The Hospital would like to ensure that the structure of the new EMR is compatible with the AI they plan to integrate.

Predicting which children with myopia are at risk of developing high myopia can help plan timely interventions. This could be an algorithm-based application. App for extracting relevant text and reports from uploaded documents in the EMR: Some equipment provide reports in PDF format, which are uploaded to the Electronic Medical Records. Similarly, patients from our primary care centre bring examination reports that are also uploaded to the hospital records. An application that can extract relevant information and feed it directly into records would be extremely useful.