Poster Session – Academics/Students

Wednesday, December 8th
2:00-3:00pm
Room: Trinity 1

Poster Session List by Title – Academics and Students

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A Coupled Framework for Parallel Simulation and Visualization
Presenter: Preeti Malakar
Affiliation: IISc

Abstract:
Critical climate applications like cyclone tracking require high-performance simulations and online remote visualization which enables collaboration among geographically distributed climate scientists. However, resource constraints like limited storage and slow networks can impact such online visualization. This work presents an adaptive framework that simultaneously performs simulations and visualization of critical climate applications. It considers application and resource dynamics to adapt various application and resource parameters like simulation resolution and resource configurations.

Bio:

Preeti Malakar is a 3rd year PhD student in the Department of Computer Science and Automation, Indian Institute of Science. Her research interests include parallel programming, distributed computing, application scheduling and scientific visualization. She obtained her M.Tech from Indian Institute of Technology Guwahati in 2006. Between 2006 and 2008 she worked in Oracle India’s Enterprise Manager team.

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A Semantic Framework for Requirement Analysis
Presenter: Richa Sharma
Affiliation: IIT Delhi

Abstract:
Increasing complexity of software systems has led an increased concern towards Semantic RE. Analyst is primarily concerned with representation of knowledge in gathered requirements set; reasoning with it and validating it against domain knowledge. We propose semantic framework based on courteous logic representations with an idea to automate validating requirement theory against domain theory. The framework has been verified for its effectiveness in uncovering ambiguities and incompleteness in requirements set.

Bio:
I am pursuing part-time MS(R) in Requirement Engineering and Knowledge Representation from IIT, Delhi. In parallel, am working as Business Development Executive at IT Global Consulting, Delhi. Prior to joining this concern, I’ve worked as Asst Professor at Institute of Technology & Science, Ghaziabad. Earlier, I’ve served IT industry for almost 7 years, one yr with HCL and 6 yrs with TCS. I have done full time MCA (1998-2001) from Devi Ahilya University, Indore and B.Sc(H) Physics from University of Delhi. My areas of interest include Software Engg, Knowledge Representation, Database, Java and OOPs.

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An Architecture for Seamless Handoff Between GPRS and WLAN Networks
Presenter: Maushumi Barooah
Affiliation: Indian Institute of Technology Guwahati

Abstract:
Next Generation Wireless Networks are envisioned to have an all-in-one IP-based infrastructure with the support of heterogeneous access technologies to provide future mobile users with ubiquitous data services. In this direction, we are looking at a new framework for handling seamless mobility between two popular and widespread technologies, GPRS and WLAN using MPLS and MP-BGP instead of Mobile IP. We have validated this scheme using Qualnet simulator achieving significant results.

Bio:

Maushumi Barooah graduated in Mathematics from Gauhati University and then did her masters in Computer Applications from Dibrugarh University. She completed her MTech in Computer Science and Engineering from Indian Institute of Technology(IIT) Guwahati. She is presently pursuing her PhD in Computer Science and Engineering in IIT Guwahati. She is currently working in seamless handoff management in heterogeneous networks. Her research interests are Wireless Networks, heterogeneous networks, mobility management.

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Analysis of Airport Network of India (ANI)
Presenter: Manasi Sapre
Affiliation: International Institute of Information Technology

Abstract:
Analysis of the topological features of Airport Network of India would provide insights in planning the infrastructure and expansion of the air-traffic connectivity, and also in managing the flow of transportation during emergencies. For example the knowledge of the connectivity pattern can help in controlling flights on certain routes to contain the spread of diseases, viz., Swine-flu, over the transportation network. In this study we address some of these issues.

Bio:

Manasi Sapre is a MS student at the International Institute of Information Technology, Hyderabad, India. Her research interests include network analysis and graph theory.

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CBEAR : A New Energy Aware Routing Algorithm
Presenter: Komal Jalan
Affiliation: IIT Guwahati

Abstract:
CBEAR is a power-aware routing algorithm for non-mobile wireless network in NS-2. It is for rural areas with sparse wireless networks where power supply is a problem and so nodes run on battery frequently. This algorithm is oriented towards maintaining connectivity of the network. The routes having absolute critical nodes to connectivity are given the least preference in routing. The residual battery capacity of each node is also taken into account during routing.

Bio:
Komal Jalan is a final year undergraduate student of the Computer Science and Engineering Department at the Indian Institute of Technology Guwahati, India. Her areas of interest are Networks and Distributed Systems. She is the Eclipse Campus Ambassador for IIT Guwahati. She has also been a finalist for the Google Women in India Engineering Conclave 2010. She has also been selected for the IBM Remote Mentoring Program.

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Community Outreach Using MoyreReach for Rural Punjab
Presenter: Anu Vaidyanathan
Affiliation: IIT Ropar

Abstract:
Community Outreach, specifically in education within the areas of Naya Nangal, Rupnagar, Kurali and Kharar in Rural Punjab is envisioned through the use of MoyreReach. Our goals include creating a demographics data-base of local-area schools, incorporating techniques to allow knowledge-exchange between IIT Ropar and local-area schools; creating channels for students from IIT to interact with school children, specifically girls and early identification of high-potential students in the local area schools.

Bio:
Dr. Anu Vaidyanathan has been a researcher for little over 8 years and a consultant for over a decade in Intellectual Property Law. Her record-setting dissertation was in the area of location-based services, where she proposed the concept of Proactive Crowd-Sourcing for commercial and non-commercial LBS. Starting to organize patent information back in 1998 alongside a competent team of advisors with three decades of experience in IPR, Anu floated PatNMarks, an IP products and services firm, in 2001. Dr. Vaidyanathan is currently a visiting professor in the department of Computer Science and Engineering at the Indian Institute of Technology, Ropar.

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Extended Approach for Mining Landmark Papers from Text Corpus
Presenter: Annu Tuli
Affiliation: International Institute of Information Technology, Hyderabad

Abstract:
There is often hundred of research papers published annually in research area. A researcher especially a beginning researcher often wants to understand how the research topics have been evolving in the literature. We focus on the problem of finding documents (research papers) from a text corpus and also identifying the first document from the corpus where new keyphrases are introduced for the first time is known as Mining Landmark Papers.

Bio:

Annu Tuli is currently MS by Research (Computer Science & Engineering) student in International Institute of Information Technology (IIIT), Hyderabad, India. She has completed Master in Science (Applied Mathematics) from Indian Institute of Technology (IIT) Roorkee, India. She has been selected as a finalist for Google India Women in Engineering Award 2010. Her areas of interest are Data Mining, Text Mining, Information Extraction and Retrieval, Applied Mathematics & Statistics.

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High Performance LINPACK on Graphics Processing Units
Presenter: Priyanka Agrawal
Affiliation: Indian Institute of Science-Bangalore

Abstract:
High-Performance LINPACK Benchmark, is used as a performance measure for ranking supercomputers in the TOP500 list. We study Graphics Processing Units as an approach for efficient execution of HPL. The results of our study indicate that HPL involves large amount of data transfer between CPU and GPU and thus GPU parallelism cannot be fully exploited. Here, we propose some optimizations to reduce data transfers and achieve maximum speedup of HPL.

Bio:
Priyanka Agrawal graduated with 3rd position in Computer Engineering from National Institute of Technology-Surat,India. She secured All India Rank 4 in GATE, examination for post-graduate admissions in India and is pursuing masters at Indian Institute of Science-Bangalore,India. She gained responsibilities like Microsoft Student Partner, Branch Lady Representative, ACM student-member and also conducted workshops for girls’ students that enhanced their abilities and self-confidence during her graduation. As a recognition for her work in computing, she was a finalist for the ‘Google India Women in Engineering Award-2010’.
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Land Cover Change Detection Using Data Mining
Presenter: Vasudha Mithal
Affiliation: Indian Institute of Technology, Kanpur

Abstract:
The land-cover-change-detection problem is one of detecting when the land cover at a given location has been converted from one type to another.

The data used in this problem is the time series of F.P.A.R.(spectral measure of the amount of vegetation) for different geographical locations. The idea is to develop algorithms which take advantage of the inherent characteristics of spatio-temporal data and are scalable i.e. suitable for high-resolution earth science datasets.

Bio:

I am a fourth year undergraduate student of Computer Science at Indian Institute of Technology, Kanpur. I have worked at University of Minnesota and at Cornell University as a Research Assistant in Machine Learning projects which has motivated me to pursue this field. My specific interest is to use data mining as a tool for addressing problems related to environment and health issues. My academic achievements include ‘Academic Excellence Award’ by I.I.T. Kanpur, ‘ACM scholarship’ for G.H.C.-2010 and special commendation at ‘Google India Women In Engineering Award Conclave’ for being selected twice to attend the annual conclave.

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MapReduce Model for Genomic Clustering in Biological Data Mining Using Differential Evolutionary Algorithm
Presenter: Radhika Kumaran
Affiliation: PSG College of Technology

Abstract:
MapReduce paradigm is highly useful in data and compute intensive bioinformatics applications. Species with similar genomic sequence exhibit similar genetic structure. This similarity aids in quicker development of drugs for new pathogens once its structure is linked to an existing pathogen. Existing approach is less accurate as it samples only random length of sequences. The proposed approach uses MapReduce parallelism over entire genome sequence and parallel Differential Evolution for species identification.

Bio:

Ms Radhika Kumaran is a ME-SE student in CSE Department, PSG College of Technology, Coimbatore. Her major areas of interest include distributed systems, grid computing, evolutionary comutation and Software Engineering.

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Network Mining for Pathway Analysis
Presenter: Sijin Cherupilly Abdulkarim
Affiliation: IUPUI

Abstract:
Real life networks are often large, demanding computational processes to discover significant pathways and sub networks. Already existing approaches fail to consider node and edge weights including direction, which are important for analyzing the pathways. Therefore, this research aims at developing a novel algorithm to mine significant sub networks from weighted-directed graphs and rank the sub networks based on their edge and node weights. The proposed method can be used in tracing events, pathway analysis, pattern identification, identifying drug and disease targets, network comparisons, etc.

Bio:
I am Sijin Abdulkarim, a Computer Science graduate student from Purdue University, Indianapolis. I work as a Research assistant in department of bio informatics, Indiana University. My research work is on Network Mining. I was the Top Graduate student winner for the grace Hopper regional conference in Indiana,2010. I am actively working for the development of Women in Computing IUPUI. I work towards applying the theories of computer science in other domain including bio informatics, chem informatics etc.

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Optimal Spectrum Sensing in Cognitive Adhoc Networks: A multi-layer approach
Presenter: Sasirekha GVK
Affiliation: IIITB

Abstract:
Cognitive Adhoc Networks (CANs) comprise of cognitive or intelligent radios(CR). A CR has to cater for Dynamic Spectrum Access (DSA) to share the spectrum with the primary licenced user (PU) intelligently. In order to achieve DSA, the CR needs to be aware of the presence or absence of PUs. In our work, we provide an optimal , computationally effective methodology for ’spectrum sensing’ in the CAN scenario.

Bio:
Sasirekha GVK is pursuing her doctoral studies (PhD) in the area of Cognitive Radios under the guidance of Prof. Jyotsna Bapat at IIITB. Sasirekha was a Scientist at the Defence Research and Development Organization (DRDO), India. She is a member of IEEE, IEEE-Women in Engineering and the Society of Electronic Engineers. She has received her MS degree from BITS, India. She has worked extensively towards the development of embedded systems for communication, networking and security solutions. She is a recipient of the DRDO Performance Excellence award, LRDE-Republic day award, Best Paper Award—ICIP-2007, Bangalore, Certificate of Merit—IMECS-2008, Hong Kong.
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Phoneme Based Indexing and Searching for Indian Names
Presenter: Shikha Garg
Affiliation: Indian Institute of Technology Kanpur

Abstract:
A novel approach for searching in a database of names has been proposed using “phoneme based indexing structure” supporting multilevel searching. Preprocessing was done to remove the phonetic inconsistencies followed by indexing of resulting names using a combination of TRIES and K-Gram which supports phonetic based search.
Searching is done by pruning the data at multiple levels. Two variants of Soundex algorithm were developed to remove limitation of the same.

Bio:

I am a Final Year UnderGraduate student pursuing Bachelor of Technology from Computer Science and Engineering, IIT Kanpur. I am from a small town Safidon in Haryana. I have done my 10th and 12th from Central Board of Education(CBSE) in Haryana. I have qualified IIT-JEE in 2007 with All India Rank of 121. I have done my Summer Internship in 2010 in Oracle, Bangalore. I am passionate about playing basketball and is an important part of the Institute basketball team in IIT Kanpur from the first year of college. I also love listening songs.

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Poverty Mapping
Presenter: Vasudha Mithal
Affiliation: IIT Kanpur

Abstract:
The Poverty Mapping problem is essentially one of utilising large scale census data and small-scale survey data in order to estimate income-poverty levels on a detailed level like municipalities. Our idea is to build a collection of classifiers that are more accurate than a single classifier. For this, we first cluster the data at municipality level. The final prediction of poverty level is a fused prediction from the individual classifiers.

Bio:

I am a fourth year undergraduate student of Computer Science at Indian Institute of Technology, Kanpur. I have worked at University of Minnesota and at Cornell University as a Research Assistant in Machine Learning projects which has motivated me to pursue this field. My specific interest is to use data mining as a tool for addressing problems related to environment and health issues. My academic achievements include ‘Academic Excellence Award’ by I.I.T. Kanpur, ‘ACM scholarship’ for G.H.C.-2010 and special commendation at ‘Google India Women In Engineering Award Conclave’ for being selected twice to attend the annual conclave.

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Robust Classifier for Handling Kernel with Bounded Uncertainty
Presenter: Sahely Bhadra
Affiliation: Indian Institute of Science

Abstract:
In many real-world classification scenarios data is fraught with uncertainty and noise. We propose a novel methodology for constructing classifiers, robust to bounded uncertainties in data (also kernel-values). The proposed classifiers make no distributional assumptions on uncertainties and only use bound information. The problem is posed as a Chance-Constrained-Program. Experiments on real-world protein structure data show that the proposed classifiers are better in handling data uncertainty and outperform state-of-the-art.

Bio:

Sahely Bhadra is a PhD student at Department of Computer Science and Automation, Indian Institute of Science, Bangalore since August 2006 and is working under guidance of Prof. Chiranjib Bhattacharyya. Her research interests include Statistical Machine Learning and Optimization specifically modeling Classifier to deal with Interval Valued Data with issues like Scalability and Robustness. For Interval Valued Data the exact values of data-points are unknown; but range of data-points or region in which mean lie etc. are known, common in Medical – diagnosis, protein structure, low level image analysis. Sahely has received IBM PhD Fellowship Award for 2010-2011.

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Routing Packets in Wireless Mesh Networks
Presenter: Amrita Bose Paul
Affiliation: Indian Institute of Technology Guwahati

Abstract:
Wireless Mesh Networks (WMNs) are a type of radio based network systems which require minimal configuration and infrastructure. One of the factors that influence the performance of WMNs is the underlying routing protocol used. Here, we propose two such routing protocols, called M-AODV and M-OLSR, which uses stable path for packet forwarding. Simulation results demonstrate that, M-OLSR outperforms M-AODV in terms of throughput, packet delivery ratio, and normalized routing overhead.

Bio:

Mrs. Amrita Bose Paul is a senior faculty member in the Department of Computer Applications in Assam Engineering College, Guwahati, from March 1992 till date. Presently she is a Research Scholar in the Department of CSE in IIT Guwahati. She received her B.Sc (HONS) degree from Gauhati University in 1987, MCA degree from Dibrugarh University in 1991 and M.Tech from IIT Guwahati in 2008. Currently, she is the Principal Investigator for an R & D project titled “Investigation of Security issues in Wireless Mesh Networks and development of a Secure Routing and Authentication protocol” funded by DIT, Govt. of India.

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SecureSocial: A Hybrid Social Network
Presenter: Spurthi Chaganti
Affiliation: IVY Comptech

Abstract:
We propose a person-centric architecture for social networking which is a hybrid of centralized and decentralized social networks. Each user runs an application that performs message communication(including encryption, key management etc) using the communication protocol we defined ,while the central server sends/stores the encrypted messages. This novel approach aims to provide data ownership and flexibility. We are developing a prototype of this system and develop social applications to make it viable.

Bio:
I am Spurthi Chaganti,passed out from Bits-Pilani,2009 currently working as a software architect in Party Gaming(Ivy comptech).I worked previously on distributed caches,replicationtools for providing high availability, survivability and performance , scalable messaging and group communication.Currently working on complex event processing system.I love vedic mathematics.My new found love is : cryptographic algorithms for cloud security.I held many responsibilities for different departments during my undergraduation and always try to keep myself challenging.I am a music buff and love to do adventures and travel the whole world.I adore swami vivekananda.

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Short Tours for Traveling Salesman Problem
Presenter: Swati Gupta
Affiliation: Indian Institute of Technology, Delhi

Abstract:
Motivated by obtaining a 4/3-approximation for the traveling salesman problem using the Held-Karp bound, we consider the graph metric on an underlying unweighted graph G. When G is 2-edge-connected, we show how to obtain a trail (that visits all vertices) of length atmost (4/3)n using a Hamiltonian path. When G is 3-regular 3-edge-connected, the Held-Karp bound is n and we show that there exists a trail of length atmost (7/5)n.

Bio:

Swati Gupta is a Dual Degree (BTech, MTech) student pursuing Computer Science and Engineering student at Indian Institute of Technology, Delhi. Her research interests are in Graph Theory, Algorithms and Combinatorial Optimization, Ramsey Theory and Cognition.

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Usage of Idle Space In Desktops and Laptops
Presenter: Kartheek Muthyala
Affiliation: BITS Pilani/NetApp

Abstract:
Our laptop has lots of cheap storage that is wasted. This project mainly aims at exporting these unused volumes out of hard disk, aggregating these volumes and making it useful for storage of data. We used ISCSI protocol where targets are installed in the laptops of required size and a global ISCSI initiator recognizing targets. A storage controller can be used to manage the storage and make this storage available for clients.

Bio:
I am a student of BITS Pilani doing my graduation in B.Pharm(Hons) and M.Sc(Tech) information systems. I am currently doing my internship at NetApp Bangalore. My interests are data analysis, grid computing, peer to peer storage technologies, network programming.