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Retreat 2013

Abstract

After several days of planning, the idea of a research retreat for our CNeRG Lab was finally realized. We broke off from the tensions and preoccupations about upcoming deadlines, reviews and seminars of day-to-day academic life to spend two days fully devoted to answering broader questions on the steadily-expanding CNeRG unit. How successful have we been? How self-reliant are we? Where do we see ourselves a year from now? The two days were spent seeking these answers and many more questions of introspection. It was, to say the least, a “roaring” success. The exuberance and zeal shown even by new members and otherwise introvert old members held testimony to that. Each of the participants presented his/her recent work to be scrutinized by the rest of the group. After close to sixteen hours of presentations split over two calendar days, it was unanimous that a careful peer-review of one’s research can be extremely useful for any graduate student. New members also came to know the story about the conception and evolution of the group over the last six-seven years. The frank analysis sessions presented by Prof. Niloy Ganguly actually brought to light the reasons behind our successes and failures at top venues. Discussions also revolved around participation levels of external collaborators and our own intellectual contributions in collaborative research projects. The concluding mood was one of optimism, with the key realization being that increasing “synergy” within the group was the only way that CNeRG can continue being a self-sustaining and successful research group.

Participants

  • Prof. Niloy Ganguly
  • Prof. Animesh Mukherjee
  • Prof. Bivas Mitra
  • Prof. Pawan Goyal
  • Prof. Sourangshu Bhattacharya
  • Prof. Tyll Krueger
  • Sourav Dandapat
  • Saptarshi Ghosh
  • Rishiraj Saha Roy
  • Sudipta Saha
  • Parantapa Bhattacharya
  • Tanmoy Chakraborty
  • Abir De
  • Suman Kalyan Maity
  • Swadhin Pradhan
  • Sandipan Sikdar
  • Soumyajit Pramanik
  • Koustav Rudra
  • Mayank Singh
  • Marcin Bodych

Retreat 2014 snaps now available for download here!

Experts Talks

Tools, Techniques and Datasets (Prof. Bivas Mitra and Prof. Pawan Goyal) PPT

Discussion on Close Rejects (Saptarshi Ghosh) PPT

Some reflections of India (Prof. Tyll Krueger) PPT

Epilogue … Retreat 2014 (Prof. Animesh Mukherjee) PPT

 

Abstracts of Student Talks

Sustainable Mobile Video Service (Sourav Dandapat) PPT

We want to build an infrastructure to provide a “sustainable mobile video services using Wi-Fi network” to users by service providers. In this purpose, we have identified two problems from user’s point of view -1)Accessibility of Wi-Fi network in a dense Wi-Fi network to improve overall system performance 2)Caching strategy of popular video file in a sparse Wi-Fi network and one problem from service provider’s perspective 1) Increasing revenue by restricting unauthorized users.

 

Inter-App Network Traffic Aggregation to Reduce Energy Consumption in Smartphones (Swadhin Pradhan) PPT

This work followed the hypothesis that better scheduling of app network traffic can lead to better utilization of the resources of the mobile phone while maintaining a quality of service guarantee for network communication. The core idea was to bundle and co-ordinate app communication data packages

 

Time series modeling of temporal network (Sandipan Sikdar) PPT

Summary to be updated soon..

 

Dissemination in large scale systems : structural and functional analysis (Sudipta Saha)

Summary to be updated soon..

 

Analyzing the Evolution of Scientific Citations & Collaborations: A Multiplex Network Approach (Soumyajit Pramanik) PPT

Recently, conference publications have gained a wide popularity, specially in the domain of computer science. In conferences, the opportunity of personal interactions between the fellow researchers opens up a new dimension for the citation network evolution. This also seems to play an important role behind the development of scienti fic collaborations among the researchers. In this work, we propose a generic multiplex network framework to uncover the in influence of the interactions in a conference on the appearance of the new citation links as well as to systematically study the impact of past citation links on the creation of future collaborations.

 

Opinion Propagation in Social Networks (Abir De) PPT

Opinion formation and its propagation is a crucial phenonomenon in any social network and has been studied widely both from a computational perspective as well by sociologists/psychologists. One of the ways opinion is thought to be formed (and hence propagated) is through a process termed as informational influence, where a user forms her opinion about a topic by learning information about that topic from her neighbors.

 

Community Formation in Reddit Network (Parantapa Bhattacharya)

Whenever a user groups grow large, they tend to develop subgroups. We study this phenomenon in Reddit and try to characterize them.

 

The Rise and Rise of Citation Analysis (Tanmoy Chakraborty) PPT

This presentation unfolds another dimension of citation network analysis. Given a citation profile of a scientific paper, people have a general assumption that the profile initially moves steadily with a peak within first 3-4 years after publication and then declines exponentially. In a large publication dataset of computer science domain, we have noticed five universal pattern of citation profiles that are completely different from the general assumption. We believe that this insights could help us refine the existing bibliometrics and might enhance the real-time systems.

 

Mashable (Suman Kalyan Maity) PPT

Summary to be updated soon..

 

Who and How people talk nonsense? (Koustav Rudra) PPT

Summary to be updated soon..

 

Content based Quantification metric for Scientific Document Quality and its Impact (Mayank Singh) PPT

This presentation presents our idea to use the Document content as a foundation and as support to get insight into document quality quantification. We would propose a metric based on a number of content features that will quantify scientific document quality and how the quality determines its impact. This impact could be measured at different levels: at the level of the document, or at the level of the venue where the document got published or at the level of individual scientists who published it.

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