Autonomous Institute

IIT Delhi

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Indian Institute of Technology Delhi is one of the 23 IITs created to be Centres of Excellence for training, research and development in science, engineering and technology in India.

Established as College of Engineering in 1961, the Institute was later declared as an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology Delhi”. It was then accorded the status of a Deemed University with powers to decide its own academic policy, to conduct its own examinations, and to award its own degrees.

Since its inception, over 48000 have graduated from IIT Delhi in various disciplines including Engineering, Physical Sciences, Management and Humanities & Social Sciences. Of these, nearly 5070 received Ph.D. degrees. The number of students who graduated with B.Tech. degree is over 15738. The rest obtained Master’s Degrees in Engineering, Sciences and Business Administration. These alumni today work as scientists, technologists, business managers and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics or are with NGOs. In doing so, they have contributed significantly to building of this nation, and to industrialization around the world.

 

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Start-ups at IIT Delhi

AI ENABLED SMART CLOTHING

Movtrack Biomedical Pvt. Ltd., is a wearable health-tech company focused towards physiotherapy and fitness markets. The designs novel, artificial-intelligence enabled clothing to re-invent the exercise experience of physiotherapy/rehabilitation patients and gym-goers. The clothes wirelessly connect to the users’ and physicians' smart-phones or other computers to provide them audio-visual guidance and analytics about exercises and musculo-skeletal health...



ADVANCED TECHNOLOGY BASED ELECTRIC PERFORMANCE MOTORCYCLE

HyperX Energy Pvt. Ltd an IIT Delhi incubated startup is developing an Advanced Technology based Electric Performance motorcycle embedded with assistive intelligence. Besides designing and developing different components that are crucial parts of the electric vehicles , the company is also providing some components and solutions to the industries for the electric vehicles...

 

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FARM TO MARKET MOBILITY

Agrowave is a startup that is building a sustainable agri-tech supply chain through a network of pickup stations at farm-gates using technology. Besides connecting farmers, traders and business on a single tech platform, it has helped to optimize logistics through a network of pickup stations developed with technology...

 

Research@IITD

 

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 recently been accepted in a top conference in software engineering...

 

 

POINT-OF-CARE (POC) DEVICES FOR BEDSIDE DIAGNOSIS OF BACTEREMIA AND NEONATAL 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 sensitivity due to low cell counts(in blood)and due to any prior antibiotic treatment...

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…