Sayan Ranu



Paper alert!:

Our work on fair food delivery has been accepted in IJCAI 2022. We improved upon our previous work on fair food delivery which was presented in AAAI 2022.

April 2023:

How would you identify k-cores in temporal networks? Our solution to appear in EDBT 2023. Congrats Momin!.

Feb, 2022:

Both AAAI papers from the group selected for oral presentations. Less than 4% of all submissions have been selected for oral.

Jan, 2022:

Serving in the PC of KDD 2022 and SIGMOD 2023.

Dec, 2021: Double delight at AAAI!

In the first work we identify strategies to make food delivery fair towards gig workers. In the second work, we design a generative model for temporal graphs. Congrats to all authors and particularly Anjali and Shubham!

Sept, 2021: Congrats Kartik!

Our group alumnus Kartik Sharma receives Suresh Chandra award for Best BTech Project from IITD-CSE, 2021. He worked on the problem of network engineering for targeted objectives (Ex. Balance Maximization in WSDM 2021). This continues the tradition from last year where Nikhil Goyal and Harsh Jain received the best dual degree project (GraphGen, WWW 2020) and Manas Joshi received the best MTech project (FoodMatch, ICDE 2021 and ACM TSAS).

Sept, 2021: Paper Alert Again!

It is well known that people do not travel in the quickest or the shortest routes. Can we predict which route they will take? Our NeurIPS 2021 paper addresses this question.

Sept, 2021: Paper Alert!

Regular path queries are one of the core operators in graph query languages. However, their usage is limited to technical users due to the need to supply a regular expression as input. How do you democratize them? Through exemplars! Read our work to know more. Will appear in VLDB 2022.

April, 2021: Good news amidst the gloom!

Our work on position-aware graph neural networks to appear in IJCAI 2021.

Jan, 2021:

Serving as the Demo co-chair of SIGMOD 2022 and in the PC of KDD 2021 and VLDB 2022.

I hold the joint positions of Nick McKeown Chair Associate Professor at the Department of Computer Science and Eng. and the Yardi School of AI at IIT Delhi. My research interests span the broad area of network science with particular focus on graph neural networks, social network analysis, querying and mining spatio-temporal data, and bioinformatics. The tag-cloud of my paper abstracts from last five years provides an accurate representation of my current research interests.

I graduated from the Computer Science department of University of California, Santa Barbara in March, 2012 under the supervision of Prof. Ambuj Singh. Prior to joining IIT D, I worked as Assistant Professor at IIT Madras for close to three years and at IBM Research, Bangalore for a year and a half.

Internships: I am NOT offering any short-term projects. My apologies if I don't respond to your email.


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