Research@IITD

IIT Delhi

IIT Delhi Develops Handheld Device for Early and Rapid Diagnosis of Dengue

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IIT Delhi Develops Environmentally Friendly, Easily Scalable, Smart and Modular Electric Vehicle Charger

IIT Delhi Develops Environmentally Friendly, Easily Scalable, Smart and Modular Electric Vehicle Charger

IIT Delhi researchers at the Smart Grid Lab of the Department of Electrical Engineering have developed a truly modular, scalable, and environmentally friendly Electric Vehicle (EV) charging station with in-built solar photovoltaic interface capability...

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Survey Report Released with an Aim to Raise Awareness About Indoor Air Quality

IIT Delhi Researchers Develop Zero-Emission Technology to Manage and Recycle E-Waste to Wealth

E-waste is one of the fastest-growing waste streams with an annual growth rate of 3-5%. The Global E-waste Monitor Report 2020 mentions that 53.7 million metric tonnes (MMT) of e-waste was generated in 2019 globally, and it is expected to reach 74.7 MMT by 2030...

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Survey Report Released with an Aim to Raise Awareness About Indoor Air Quality

Survey Report Released with an Aim to Raise Awareness About Indoor Air Quality

Awareness about the quality of air that we breathe indoors is very important as people spend more than 90% of their daily time in indoor environments...

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Yoga practitioners had lower stress, anxiety and depression during COVID-19 lockdown: IIT Delhi study

Yoga practitioners had lower stress, anxiety and depression during COVID-19 lockdown: IIT Delhi study

Yoga practitioners had lower stress, anxiety and depression, higher wellbeing and a higher peace of mind during 4-10 weeks of lockdown due to COVID-19 outbreak last year as compared to the non-practitioners, a study by IIT Delhi researchers has shown...

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IITD Research

IIT Delhi Researchers Propose Non-Leachable Antimicrobial Coating to Deal with Implant-Associated Infection

A recent study from IIT Delhi has shown that Black Carbon, a key deleterious component of PM2.5 has seen reduced levels...

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IITD Research

IIT Delhi Researchers Propose Non-Leachable Antimicrobial Coating to Deal with Implant-Associated Infection

A recent study from IIT Delhi has shown that Black Carbon, a key deleterious component of PM2.5 has seen reduced levels...

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IITD Research

IIT Delhi Researchers Propose Non-Leachable Antimicrobial Coating to Deal with Implant-Associated Infection

Medical implants such as pacemakers, intra-ocular lens, heart valves, hip and knee implants medical catheters and other such implants...

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IITD Research

Vanadium Redox Flow Battery based Charging Station for Electronic Devices inaugurated at IIT Delhi

IIT Delhi’s Sustainable Environergy Research Lab (SERL) at the Department of Chemical Engineering is actively working on Vanadium Redox Flow Battery (VRFB) technology...

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IITD Research

IIT Delhi Faculty Comes Up with Mathematical Model to Implement India’s Vision of Self-Reliant Economy

An IIT Delhi faculty from its Management Studies Department has come up with a mathematical model for implementing India’s vision of a self-reliant economy...

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IITD Research

IIT Delhi Research Paves Way for a Secure, Sustainable and Green Energy Ecosystem in the Country

Due to an increase in the per capita energy consumption of our country and the national commitment to reduce CO2 emissions, the coming decades will demand an energy ecosystem, which is secure, sustainable and green...

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Study Finds Impact of Environmental Changes and Land Management Practices on Wheat Production in India

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Analogue Gravity or its breakdown - Transition from Spontaneous to Stimulated Hawking Radiation

In a recent paper published in Physical Review A, Atomic Moleculer Optical Physics and Quantum information’s one of the top journals, published by American Physical Society, researchers from IIT Delhi reports a transition from spontaneous Hawking radiation in sonic black hole to stimulated Hawking radiation in a sonic black hole laser...

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A platform for monitoring COVID

PRACRITI is an acronym for PRediction and Assessment of CoRona Infections and Transmission in India. It is a web-based dashboard that gives details of state and district wise predictions of COVID-19 transmission in the country. The dashboard also takes into account different lockdown scenarios and how the transmission will be affected if the lockdown conditions are changed. This is important to develop the prevention and mitigation strategies for COVID-19. The predictions are updated on a weekly basis to account for any variations in India including changes in the government policies...

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Researchers devise AI tool for reasoning about software performance

A team in IIT Delhiresearchers from the computer science department have used AI and machine-learning based techniques to create a tool that decodes the reasons behind the performance level of a software.

The researchers --Shubhankar Suman Singh (Ph.D student) and Prof. Smruti Ranjan Sarangi -- worked in collaboration with NetApp Technologies, Bangalore that funded this project. Their research paper, which elucidates on why a specific software performs better than another one has recentlybeen accepted in a top conference in software engineering...

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Point-of-Care (POC) devices for bedside diagnosis of bacteremia andneonatal sepsis

Bacterial infections affect more than 2 million people worldwide annually. Of these, systemic bacterial infections in critically-ill patients often lead to life-threatening conditions such as sepsis. The currently available methods for bacterial typing and species identification take several days to weeks to get final results making them ineffectual for early diagnosis of bacterial septicemia. Bacterial cultures also suffer from poor sensitivitydue to low cellcounts(in blood)and due to any prior antibiotic treatmeant...

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Researchers devise AI tool for reasoning about software performance

Researchers at IIT Delhi in collaboration with BPCL R&D, Greater Noida have evolved a model for prediction of crude oil blend compatibility and blend optimization for increasing heavy oil processing.

The crude oil blend compatibility (K-Model) is determined based on the physical parameter ratios of the crude oils. The K-Model is developed by coefficients obtained by regression analysis between the ratios of physical parameters (API/sulphur; kinematic viscosity/API; sulphur/carbon residue) of known crude oils and composite compatibility measure determined from multiple compatibility test results of the known crude oils...

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