Roni Khardon Professor Department of Computer Science Indiana University, Bloomington Research Interests and Projects: My interests are in the areas of Machine Learning and Data Mining, Artificial Intelligence, and Efficient Algorithms and my research explores theoretical questions, empirical questions, and applications. Most recently my work has focused on problems in two broad areas: Theory, Algorithms and Applications of Graphical models and Stochastic Planning (aka Reinforcement Learning) and its Relation to Probabilistic Inference.

Research Group

	Yadi Wei, PhD Student	Working on algorithms and theory for approximate inference in Bayesian models.
	Weizhe Chen, PhD Student Co advised with Lantao Liu	Working on machine learning for non-stationary spatial data and its use for informative planning in robotics.
	Zhennan Wu, PhD Student	Working on planning, reinforcement learning and their connection to probabislitic inference.
	Palash Chatterjee, MS Student	Working on planning, reinforcement learning and their connection to probabislitic inference.

Alumni

• Hao Cui, PhD, Tufts University, 2019.
• Rishit Sheth, PhD, Tufts University, 2018.
• Yuyang Wang, PhD, Tufts University, 2013.
• Saket Joshi, PhD, Tufts University, 2010.
• Gabriel Wachman, PhD, Tufts University, 2009.
• Chengang Wang, PhD, Tufts University, 2007.
• Marta Arias, PhD, Tufts University, 2004.