Sayan Ranu

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July, 2017: Paper alert!

How can we synthesize molecule A from molecule B? Graph Mining can answer this question. Read our paper accepted in Bioinformatics (Impact Factor 7.3) to know more! Congrats Aravind!

July, 2017:

Our report systematically refutes and responds to the refutations made by Lu et al. on our SIGMOD 2017 paper on "Debunking the Myths of Influence Maximization".

July, 2017: Paper accepted!

Our work on sequence analysis for quantifying and visualizing pathway heterogenity in protein folding to appear in Physical Chemistry Chemical Physics.

June, 2017: Paper alert!

Our work on skyline subgraph queries accepted in VLDB 2017. Congrats Shiladitya!

May 2017:

Attended SIGMOD 2017 and gave a talk at Microsoft Research, Redmond.

March 2017

Serving on the program committee of KDD 2017 and CIKM 2017

Keynote Talk:

Speaking on trajectory analytics at CRIS, the IT arm of Indian Railways, on 7th March.

Upcoming Talks:

Speaking at IIT Kanpur (23rd Feb) and IIT Gandhinagar (27th Feb) on influence maximization.

Paper Accepted!:

Our work on optimal location queries based on trajectory data will be presented at ICDE 2017.

Best Paper Award!:

Our work on diversified query expansion receives best paper award at WISE 2016. Congrats Adit!

Dec 10th-17th, 2015:

Attending ICDM 2016 at Barcelona, Spain.

Upcoming talks on Trajectory Analytics

Dec 6th at Indo-US workshop on Big Data.
Dec 7th at CAIR, DRDO, Bangalore.

Sep, 2016: Paper alert!

Debunking the myths of Influence Maximization in our new SIGMOD paper.

Sep, 2016: Paper accepted in ICDM!

So many graph pattern mining techniques and all suffering from information redundancy. Use our generic framework to overcome this bottleneck.

I am an Assistant Professor in the CSE department at IIT Delhi. My research interests span the broad area of data analytics with particular focus on graph indexing and mining, social network analysis, querying and mining spatio-temporal data, and bioinformatics. The tag-cloud of my paper abstracts provides an accurate representation of my research interests.

I graduated from the Computer Science department of University of California, Santa Barbara in March, 2012. 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. During my grad school days, I worked on querying and mining molecular databases in the DBL lab under the supervision of Prof. Ambuj Singh.

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

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