Nanyang Technology University

Academic Profile
Asst Prof Edith Elkind 
Nanyang Assistant Professor (NRF)
 
Division of Mathematical Sciences 
School of Physical & Mathematical Sciences 
College of Science 



Email: EELKIND@ntu.edu.sg
Phone: (+65)65132028 
Office: SPMS-MAS-05-15 
Education
  • PhD (CompSc) Princeton University 2005
  • MA (Comp Sc) Princeton University 2002
  • MSc (Mathematics) Magna Cum Laude, Moscow State U. 1998
Biography
Dr. Elkind has joined the Division of Mathematical Sciences of the School of Physical and Mathematical Sciences on January 3, 2009. She received her MSc degree in Mathematics from Moscow State University in 1998 and a PhD in Computer Science from Princeton University in 2005. She is a recipient of the NRF Research Fellowship (to start from Aug 1, 2009). She has worked on several topics in algorithmic game theory and computational social choice, and has published over 25 papers in these areas. She has been a PC member of a number of prestigious international conferences, such as ACM EC, AAAI, IJCAI, ICALP, AAMAS, and SAGT, and served as a guest editor for the special issue of the Journal of Autonomous Agents and Multiagent Systems on computational social choice.
Research Interests
Algorithmic game theory, computational social choice, algorithms and complexity
Research Grant
  • NRF Research Fellowship (2009-)
  • Start Up Grant (2009-)
Current Projects
  • Algorithmic Aspects of Coalitional Games
  • Algorithmics Issues in Social Choice
Selected Publications
  • Edith Elkind, james Orlin. (2013). On the Hardness of Finding Subsets with Equal Average. Information Processing Letters, .
  • Edith Elkind, Talal Rahwan, Nicholas R. Jennings. (2013). Computational Coalition FormationMultiagent Systems. (pp. 329-380)..
  • Georgios Chalkiadakis, Edith Elkind, Michael Wooldridge. (2012). Cooperative Game Theory: Basic Concepts and Computational Challenges. IEEE Intelligent Systems, 27(3), 86-90.
  • Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind. (2012). Manipulating the quota in weighted voting games. Artificial Intelligence, 180-181, 1-19.
  • Edith Elkind, Piotr Faliszewski, Arkadii Slinko. (2011). Cloning in Elections: Finding the Possible Winners. Journal of Artificial Intelligence Research, 42, 529 - 574.
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