IBM and IIT Delhi collaborate to advance research in AI

IITD joins IBM in its AI Horizons Network (AIHN) program to form a multi-year research collaboration on Neuro-Symbolic Information Systems, led by the CSE Department.

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Distinguished Alumni Award 2018: Dr. Venkata Padmanabhan

Venkata Padmanabhan is a Principal Researcher at Microsoft Research India, where he founded the Mobility, Networks, and Systems group in 2007. Click to read his interview with the institute.

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Convocation 2018

Click to view videos from the department convocation.

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Amit Kumar awarded 2018 SSB Prize

Prof. Amit Kumar has been awarded the prestigious Shanti Swarup Bhatnagar prize in the category of mathematical sciences for 2018. Click to read an interview about his research.

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IITD CS&E Research Acceleration Fund Donation Campaign

Reconnecting Alumni @ IITD. Click here to contribute.

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CSE, IIT Delhi, Excelling in Research

Our department has been ranked as the number 1 Indian department in the area of Computer Science and Information Systems by QS World University Rankings for the year 2015 and 2016.

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Virtually Vittala: A 3D reconstruction of the Vittala temple in Hampi

From modeling to navigation, the project allows users to virtually visit and experience the site in a step towards virtual tourism and the preservation of historical sites.

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Latest @ CSE

 

Faculty awards and achievements

Book Release:  It is my pleasure to share the information about release of my book on "Soft Computing: Fundamentals, Techniques and Application" by McGraw Hill Education in June 2018. This is my 3rd book. One is on Logic and Prolog Programming and other is on Artificial Intelligence. From: Prof Saroj Kaushik


Prof Sayan Ranu's work titled Debunking the Myths of Influence Maximization: An In-depth Benchmarking Study has won the SIGMOD reproducibility award for 2018. Co-author Sainyam Galhotra is also a recent CSE BTech graduate from IIT Delhi. Congrats to all authors!


Prof. Balakrishnan along with P.V.M. Rao (Mech Engg)  have been awarded the National Award for "Improving the Accessibility for the Differently Abled through S&T interventions" for the year 2018 for their work on developing a Refreshable Braille Display. This is the second time the team has received this award.


Student awards and achievements

Sandeep Chandran has been awarded the FITT "Best Industry Relevant PhD Project in IIT Delhi" Award for his PhD thesis titled "FlexDFD: Flexible DFD Hardware for Efficient Post-silicon Validation" for the year 2017-18. The award carries a cash prize of Rs. 60,000. The research was carried out in collaboration with Freescale/NXP Semiconductor and the Semiconductor Research Consortium.


Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik(2018), Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention. 40th European Conference on Information reitrival (ECIR 2018), March 2018. Link : https://link.springer.com/chapter/10.1007/978-3-319-76941-7_40 : Posted by Prof Saroj Kaushik

Kuntal Dey, Saroj Kaushik, Kritika Garg, Ritvik Shrivastava(2018), Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities. 40th European Conference on Information reitrival (ECIR 2018), March 2018.Link: https://link.springer.com/chapter/10.1007/978-3-319-76941-7_3 : Posted by Prof Saroj Kaushik


Danish Contractor named one of India's Top 10 Innovators Under 35 for the year 2018 by Mint and MIT Technology Review. 


Editorial boards and Program Chairs

Latest Projects



DADS: Distributed Attestation for Device Swarms

Emerging trends in embedded systems, such as applications on Industrial control and IoTs, involve heterogeneous and mobile devices to communicate, process and exchange safety, privacy and mission critical information. These smart interconnected devices often operate in large number. These facts along with the nature of the devices make them susceptible to a wide range of attacks. Various approache...



Monitoring the state of cellular data connectivity in India

The count of mobile Internet users in India has been growing at a rate of 27% annually and is expected to reach 300M by 2017. There is however limited understanding of whether this rapid growth is happening while also ensuring that good quality of service is provided to users. To find out, we deployed a measurement framework in 20 rural, semi-urban, and urban sites in North India and probed four ...



Analysis of the Spread of Information on Twitter and its Application to Internet Content Distribution

With rapidly growing traffic volumes on the Internet, service providers are finding it increasingly hard to manage delivery of content to end users. We observe that a large portion of the traffic is contributed and accessed by Online Social Networking (OSN) websites, and we attempt to leverage this fact to build better content placement and caching strategies for Content Delivery Networks (CDNs). ...



The rich and middle classes on Twitter: Are popular users indeed different from regular users?

Online social networking (OSN) websites such as Twitter and Facebook are known to have a wide heterogeneity in the popularity of their users, counted typically in terms of the number of followers or friends of the users. We add to the large body of work on information diffusion on online social networking websites, by studying how the behavior of the small minority of very popular users on Twitter...



Optimal Radius for Connectivity in Duty-Cycled Wireless Sensor Networks

We investigate the condition on transmission radius needed to achieve connectivity in duty-cycled wireless sensor networks (briefly, DC-WSN). First, we settle a conjecture of Das et. al. (2012) and prove that the connectivity condition on Random Geometric Graphs (RGG), given by Gupta and Kumar (1989), can be used to derive a weak sufficient condition to achieve connectivity in DCWSN. To find a str...



Sec-X: A Framework for Collecting Runtime Statistics for SoCs with Multiple Accelerators

We are moving into an era where large SoCs will have a portfolio of different kinds of cores and accelerators. Many of these computational elements might be designed by third parties. In this setting, it is beneficial to collect accurate runtime information such that we can diagnose performance problems, verify and report correctness issues, and collect usage scenarios of third party hardware. Thi...



Fast Dynamic Binary Translation for the Kernel

Dynamic binary translation (DBT) is a powerful technique with several important applications. System-level binary translators have been used for implementing a Virtual Machine Monitor [2] and for instrumentation in the OS kernel [10]. In current designs, the performance overhead of binary translation on kernel-intensive workloads is high. e.g., over 10x slowdowns were reported on the sys...



MajSynth : An n-input Majority Algebra based Logic Synthesis Tool for Quantum-dot Cellular Automata

We need specialized logic synthesis methods to exploit the 3- input Majority gate, the primary logic element of the emerging Quantum-dot Cellular Automata paradigm. Existing methods take a narrow approach of manipulating functions into a network of 3-input Majority functions with no knowledge of larger Majority functions, and hence fall short while minimizing large Boolean functions. In thi...



Building citizen engagement into the implementation of welfare schemes in rural India

Citizen feedback on the implementation of social welfare schemes can help fine tune their design, understand problems, and assess the benefits and impact from these schemes. Such feedback loops however are singularly missing in most schemes in India, and are conveyed only indirectly via civil society and social audit organizations that try to serve as a bridge between citizens and the government. ...



Result Clustering for Keyword Search on Graphs

Graph structured data on the web is now massive as well as diverse, ranging from social networks, web graphs to knowledge-bases. Effectively querying this graph structured data is non-trivial and has led to research in a variety of directions – structured queries, keyword and natural language queries, automatic translation of these queries to structured queries, etc. In this project, we are con...



Sampling and Reconstruction using Bloom Filters

In this paper, we address the problem of sampling from a set and reconstructing a set stored as a Bloom filter. To the best of our knowledge our work is the first to address this question. We introduce a novel hierarchical data structure called BloomSampleTree that helps us design efficient algorithms to extract an almost uniform sample from the set stored in a Bloom filter and also allows u...



Towards developing a Technical Knowledge-Base for Personalized Learning

A commonly faced challenge by enthusiastic learners is to build a complete and well-rounded understanding of a topic of interest. While understanding the big picture is equally important, it is also necessary that the learning material be presented to the user in the correct order. Understanding the content from a textbook would be too overwhelming for a reader who has very little background on a ...

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