I lead a research group on Dependable Distributed and Networked Systems.  The group works on the foundations of fault-tolerance, security, and timeliness properties,   develops design, verification, and implementation methods,   and builds prototypes of dependable systems for new application areas. 

We are especially interested in discovering new methods for scalable dependability,  as well as in characterizing the differences between reasoning about system correctness versus reasoning about systems dependability. Our methods draw from the theory of self-stabilization, and exploit formal specifications of and "white box" knowledge about the system. Demonstrations of our work are presently focused on embedded sensor network applications and internet services.

• http://www.cse.ohio-state.edu/~anish/

James W. Davis, Dept. of Computer Science and Engineering, is developing an advanced video surveillance system that uses computers equipped with video cameras to not only detect the presence of people and track them, but also to identify their activities. The research has broad implications for Homeland Security as well as search and rescue, border patrol, law enforcement and many other types of military applications. The system combines video cameras with machine learning methods, enabling the computer to perform the kind of visual recognition that seems effortless for humans. Davis' work in investigating computer vision methods was recognized by the National Science Foundation with the prestigious NSF Faculty Early Career Development (CAREER) Program award. Support for this research (past and present) has been provided by the National Science Foundation, U.S. Air Force, Los Alamos National Lab, U.S. Army Night Vision Laboratory, Intel, and Ohio Board of Regents.

• http://www.cse.ohio-state.edu/~jwdavis

Areas of interest: Information Theory; Coding Theory, Wireless Communication; and DNA Self Assembly.

• http://www.ece.osu.edu/aboutus/indiv_faculty/elgamal.html

Machiraju's research and technical publications deal with volume rendering, imaging and parallel rendering. Specifically, he is interested in examining issues of accuracy and adaptivity in volume rendering and imaging. Techniques from both classical interpolation and sampling theory and the more recent wavelet theory have been used towards this end. Ongoing work includes wavelet based volume rendering techniques and image comparison metrics. His other research interests include biomedical imaging and high performance computing.

Research Interests: Stochastic digital signal processing; spectral estimation; time series analysis; parameter estimation; statistical properties of algorithms; array signal processing. Applications to automatic target recognition and sensor networks. Most of this research is conducted with colleagues and students in the Information Processing Systems (IPS) Laboratory. Current research efforts include:

• Feature extraction for automatic target recognition (ATR) from radar signals; ATR performance analysis.
• Self-localization of sensor networks.
• Object detection and tracking using sensor networks.
  

• http://www.ece.osu.edu/~randy/

I have a range of research interests, but my existing studies can be classified as follows.

•  Research Area: Information theory and wireless communications  Research Focus: Multi-terminal (stochastic) networks, cooperation, cognitive radios, and security

O. Ozan Koyluoglu received his B.S. degree in Electrical & Electronics Engineering from Bilkent University, Ankara, Turkey, in 2005 and his M.S. degree in Electrical & Computer Engineering from The Ohio State University, Columbus, OH in 2007. He is currently pursuing a Ph.D. degree at the Ohio State University. His current research interests lie in the areas of information theory and wireless communications with special emphasis on multi-terminal networks and security.

Lifeng Sang is a PhD candidate in the Department of Computer Science and Engineering at The Ohio State University. He works in the Dependable Distributed Network Systems lab led by Dr. Anish Arora. His primary research interests lie in the area of secure and reliable distributed systems with a special emphasis on wireless sensor network systems. He has also been involved in the design and maintenance of a large scale sensor testbed, Kansei, and a mobile sensor network testbed inside the Dreese building to facilitate testing of mobility centric applications.

• http://www.cse.ohio-state.edu/~sangl/

Karthik Sankaranarayanan is a 3rd year PhD student at The Ohio State University. He is also a member of the Computer Vision Lab directed by my advisor Prof. Jim Davis. His research interests include Computer Vision, Pattern Recognition and Machine Learning.

• http://www.cse.ohio-state.edu/~sankaran/

Mukudan Sridharan is a Ph.D. student in the Department of Computer Science and Engineering at Ohio State University.  His advisor is Prof. Anish Arora. He is part of the Dependable Distributed and Networked Systems research group.

• http://www.cse.ohio-state.edu/~sridhara/

I am Graduate Student in the Department of Computer Science and Engineering, doing my Phd under the guidance of Prof. Anish Arora.  I am a member of the Dependable Distributed and Networked Systems research group.

• http://www.cse.ohio-state.edu/~zengw/