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{{Infobox scientist
|name = Venkatesan Guruswami
|image =
|caption =
|birth_date = 1976
|birth_place = [[India]]
|residence = [[USA]]
|nationality =
|field = [[Computer Science]]
|work_institution = [[Carnegie Mellon University]]
|alma_mater = [[Indian Institute of Technology Madras|Indian Institute of Technology]]<br />[[Massachusetts Institute of Technology]]
|doctoral_advisor = [[Madhu Sudan]]
}}


'''Venkatesan Guruswami''' (born 1976) is a [[computer scientist]] at [[Carnegie Mellon University]] in [[Pittsburgh]], [[USA]]. He did his schooling at [[Padma Seshadri Bala Bhavan]], one of the premier educational institutions in Chennai, India. He completed his [[undergraduate]] in [[Computer Science]] from [[IIT Madras]] and his [[doctorate]] from [[Massachusetts Institute of Technology]] under the supervision of [[Madhu Sudan]] in 2001 [http://people.csail.mit.edu/madhu/]. After receiving his PhD, he spent a year at [[UC Berkeley]] as a [[Miller Fellow]], and then was a member of the faculty at the [[University of Washington]] from 2002 to 2009. His primary area of research is [[Computer Science]], where he is well known for his work on error-correcting codes. Following 2007, he was on leave from University of Washington. During 2007-2008, he visited IAS at [[Princeton University]] as a Member of School of Mathematics. He also visited SCS at [[Carnegie Mellon University]] during 2008-09 as a Visiting Faculty. In July 2009, he joined the School of Computer Science at [[Carnegie Mellon University]] as Associate Professor in the Computer Science Department.


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Guruswami was awarded the 2002 [[Association for Computing Machinery|ACM]] Doctoral Dissertation Award for his dissertation ''List Decoding of Error-Correcting Codes''. [http://www1.acm.org/awards/dd_citation/2002.html], which introduced an algorithm that allowed for the correction of errors beyond half the minimum distance of the code. It applies to [[Reed–Solomon error correction|Reed–Solomon codes]] and more generally to [[algebraic geometric code]]s. This algorithm produces a list of codewords (it is a [[list-decoding]] algorithm) and is based on interpolation and factorization of polynomials over <math>GF(2^m)</math> and its extensions.  
 
He was a invited speaker in [[International Congress of Mathematicians]] 2010, [[Hyderabad, India|Hyderabad]] on the topic of "''Mathematical Aspects of Computer Science.''"<ref>{{cite web|title=ICM Plenary and Invited Speakers since 1897|url=http://www.mathunion.org/db/ICM/Speakers/SortedByCongress.php|publisher=[[International Congress of Mathematicians]]}}</ref>
 
Guraswami was one of two winners of the 2012 [[Presburger Award]], given by the [[European Association for Theoretical Computer Science]] for outstanding contributions by a young theoretical computer scientist.<ref>[http://eatcs.org/index.php/component/content/article/1-news/1243-presburger-award-2012 Presburger Award 2012], EATCS, retrieved 2012-04-23.</ref>
 
== Selected publications ==
*{{cite journal|last = Guruswami|first = Venkatesan|title = List Decoding of Error-Correcting Codes|journal = Springer Verlag 2004| url = http://www.springer.com/computer/foundations/book/978-3-540-24051-8}}
*{{cite journal|last1 = Guruswami|first1 = Venkatesan|first2= Madhu |last2=Sudan| title = Improved decoding of Reed-Solomon and algebraic-geometry codes|journal = IEEE Transactions on Information Theory |volume = 45|year = 1999|doi=10.1109/18.782097| issue=6}}
 
==See also==
*[[Guruswami–Sudan list decoding algorithm]]
 
== References ==
{{Reflist}}
 
== External links ==
* [http://www.cs.cmu.edu/~venkatg/ Venkatesan Guruswami's Homepage]
* {{MathGenealogy|55201}}
 
{{Presburger winners}}
 
{{Authority control|VIAF=33083055}}
 
{{Persondata <!-- Metadata: see [[Wikipedia:Persondata]]. -->
| NAME              = Guruswami, Venkatesan
| ALTERNATIVE NAMES =
| SHORT DESCRIPTION = Indian computer scientist
| DATE OF BIRTH    = 1976
| PLACE OF BIRTH    = [[India]]
| DATE OF DEATH    =
| PLACE OF DEATH    =
}}
{{DEFAULTSORT:Guruswami, Venkatesan}}
[[Category:1976 births]]
[[Category:Living people]]
[[Category:Indian mathematicians]]
[[Category:Indian computer scientists]]
[[Category:Theoretical computer scientists]]
[[Category:Indian Institute of Technology Madras alumni]]
[[Category:Massachusetts Institute of Technology alumni]]
[[Category:Carnegie Mellon University faculty]]
[[Category:ICM 2010 Plenary and Invited Speakers]]
[[Category:Padma Seshadri Bala Bhavan schools alumni]]

Revision as of 16:09, 31 October 2013

Template:Infobox scientist

Venkatesan Guruswami (born 1976) is a computer scientist at Carnegie Mellon University in Pittsburgh, USA. He did his schooling at Padma Seshadri Bala Bhavan, one of the premier educational institutions in Chennai, India. He completed his undergraduate in Computer Science from IIT Madras and his doctorate from Massachusetts Institute of Technology under the supervision of Madhu Sudan in 2001 [1]. After receiving his PhD, he spent a year at UC Berkeley as a Miller Fellow, and then was a member of the faculty at the University of Washington from 2002 to 2009. His primary area of research is Computer Science, where he is well known for his work on error-correcting codes. Following 2007, he was on leave from University of Washington. During 2007-2008, he visited IAS at Princeton University as a Member of School of Mathematics. He also visited SCS at Carnegie Mellon University during 2008-09 as a Visiting Faculty. In July 2009, he joined the School of Computer Science at Carnegie Mellon University as Associate Professor in the Computer Science Department.

Guruswami was awarded the 2002 ACM Doctoral Dissertation Award for his dissertation List Decoding of Error-Correcting Codes. [2], which introduced an algorithm that allowed for the correction of errors beyond half the minimum distance of the code. It applies to Reed–Solomon codes and more generally to algebraic geometric codes. This algorithm produces a list of codewords (it is a list-decoding algorithm) and is based on interpolation and factorization of polynomials over and its extensions.

He was a invited speaker in International Congress of Mathematicians 2010, Hyderabad on the topic of "Mathematical Aspects of Computer Science."[1]

Guraswami was one of two winners of the 2012 Presburger Award, given by the European Association for Theoretical Computer Science for outstanding contributions by a young theoretical computer scientist.[2]

Selected publications

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    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

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    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

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  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang

See also

References

43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.

External links

Template:Presburger winners

In the event you've just lately been requested by your employer to be posted to Singapore, then this website is for you. Whether or not you're single or married with kids, whether or not you are looking for a condominium, a bungalow, a semi-detached or a public condo, residing and renting a house in Singapore at this time is straightforward when you recognize the ins and outs, the dos and don'ts.

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To know who pays actual property commissions - whether or not it's sellers or buyers or both or if it is Landlord's or Tenant's or both Divisions vary. All Brokers work on a commission scheme that is determined by the experience, efficiency and various other elements equivalent to recruitment and many others. New brokers can receive from a range of 60%-70% of the full fee received by them from the closure of a deal. High producing brokers would possibly obtain 100% and pay the company (broker) a desk fee. Everybody else falls somewhere in between. Kindly discuss with the FAQ part of the CEA web site-www.cea.gov.sg Co-Broking / sharing of fee There isn't a set formulation. This is based on the demand and supply circumstances in the market. present agents have tertiary education.

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  1. Template:Cite web
  2. Presburger Award 2012, EATCS, retrieved 2012-04-23.