For the latest pdf version of the Papers, please e-mail me.
Working Papers
- Sujit Gujar and Y. Narahari, “Redistribution Mechanisms for Assignment of Heterogeneous Objects”. Working Paper, Electronic Commerce Laboratory, Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India February 2009.
Conference Papers
- Sujit Gujar and Narahari Yadati, "Redistribution Mechanisms for Assignment of Heterogeneous Objects", Formal Approaches to Multi-Agent Systems, 2009.
- Sujit Gujar and Narahari Yadati,
"Optimal Multi-Unit Combinatoria
Auctions with Single Minded Bidders".
The 11th IEEE Conference on Commerce and Enterprise
Computing, IEEE CEC, 2009. (Accepeted)
- Sujit Gujar and Narahari Yadati,
"Redistribution of VCG Payments in Assignment of Heterogeneous Objects".
In Proceedings of the 4th International Workshop on Internet and Network
Economics(WINE), 2008, pp 438-445.
- Sujit Gujar and Y Narahari, "An Optimal Multi-Unit Combinatorial Procurement
Auction with Single Minded Bidders".
Managing Complexity in a Distributed World (MCDES) 2008.
- Sujit Gujar and C E Veni Madhavan, "Measures for
Classification and Detection in Steganalysis".
In 'Proceedings of the 3rd Workshop on Computer Vision, Graphics and
Image Processing - WCVGIP 2006'
Poster Presentation of the above paper Poster
Journal Papers
- Dinesh Garg, Y. Narahari, Sujit Gujar,
"Foundations of Mechanism Design: A Tutorial -
Part 1: Key Concepts and Classical Results."
Sadhana - Indian Academy Proceedings in Engineering Sciences,
Volume 33, Part 2, pp 83-130, April 2008.
- Dinesh Garg, Y. Narahari, Sujit Gujar,
"Foundations of Mechanism Design: A Tutorial -
Part 2: Advanced Concepts and Results."
Sadhana - Indian Academy Proceedings in Engineering Sciences,
Volume 33, Part 2,ssss pp 131-174, April 2008.
Book Chapters
-
Y. Narahari and Sujit Gujar, "Auctions in Electronic Commerce".
Invited Book Chapter in: The Handbook of Technology Management, John Wiley and Sons, To appear in 2009.
Technical Reports
- My Masters Thesis
Measures for Classification and Detection in Steganalysis
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