However, these approaches provide no guarantee on their gap from optimality. Further, the optimal choice of transmit power also increases unboundedly as Pulkit grover thesis error probability is lowered.
The vector example is then in turn viewed as a collection of scalar random variables with a four-phase distributed control strategy.
Now tenured faculty at U. Currently exploring enforcement issues building on the work of Kristen Ann Woyach as well as information-theoretic fundamental limits on identity.
Here we propose one-step models that jointly solve source localization and the second-step analysis. However, analytically, they have been simpler to understand because they disallow implicit communication through the system from the observer to the controller.
Information-dissipation in noiseless lossy in-network function computation. Current topics of interest include fundamental and practical understanding of circuits and systems for processing and communicating information; flow of information in neural systems and neural interfaces and use of this understanding to design radically new neural interfaces ; and understanding information and its use by exploring the union of control and communication.
Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. Mentored Vidya Muthukumar and Angel Daruna.
Is the direction of Granger causal influence same as the direction of information flow? Great thesis and is now tenured faculty at UCLA. American Epilepsy Society annual meeting, Dec. Previous work suggests that the human visual cortex is hierarchically organized, and different brain areas extract information from low-level edge orientations to high-level semantic features.
Pulkit won the Eliahu Jury award in our department for his dissertation. Using tools from information theory, we provide approximately optimal solutions that are guaranteed to attain within a uniform constant factor of the optimal for the asymptotic version of the counterexample this paper.
Society for Neuroscience annual meeting, In my dissertation, I provide the first provably approximately-optimal solution to the Witsenhausen counterexample by understanding the potential of implicit communication between the controllers. And PostDoc at Stanford during With me, he did some early work on randomized encoding strategies for tracking random walks.
Nature Scientific Reports, Jan Our lab seeks to attain this understanding through a mix of thought and laboratory experiments, spanning examination of fundamental limits all the way to experiments. Actions can speak more clearly than words. Consequently, almost no engineering systems systematically exploit implicit communication.
Any opinions, findings and conclusions or recomendations expressed in this material are those of the author s and do not necessarily reflect the views of the University of California, The UC Regents, the National Science Foundation NSF or any other source of funding.Ph.D.
Thesis. Pulkit Grover. Actions can speak more clearly than words.
UC Berkeley, Dec. Masters Thesis. Pulkit Grover. LDPC Codes: Bounds on the rate for FSMCs and some results on minimal stopping sets. Human cognition involves fast dynamic neural activity in distributed brain areas. To study the neural mechanisms, we can use magnetoencephalography (MEG) and electroencephalography (EEG), which are non-invasive and have high temporal resolution.
GROVER was a GSR on California PATH projects, prior to conducting research for this dissertation. The PATH projects were funded by the California Department of Transportation (Caltrans).
PULKIT is currently an Assistant Professor at Carnegie Mellon University. Crime and Punishment for Cognitive Radios by Kristen Ann Woyach B.S. (University of Notre Dame) A thesis submitted in partial satisfaction of the requirements for the degree of Master of Science in Engineering - Electrical Engineering and Computer Sciences Pulkit Grover, and Mubaraq Mishra.
by Pulkit Grover, Anant Sahai, Se Yong Park, Recently, we considered a vector version of Witsenhausen’s counterexample and connected the problem formulation to an information-theoretic problem called “assisted interference suppression” that was itself inspired by work on the so-called “cognitive radio channel.”.
Their combined citations are counted only for the first article. Pulkit Grover. Assistant Professor of Electrical and Computer Engineering, Carnegie Mellon University.
PhD Thesis, Approximately-Optimal Solutions to the Finite-Dimensional Witsenhausen Counterexample.Download