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Dinesh Manocha is currently
the Phi Delta Theta/Mason Distinguished Professor of Computer
Science at the University of North Carolina at Chapel Hill.
He received his Ph.D. in Computer Science at the University
of California at Berkeley 1992. He has received Junior Faculty
Award, Alfred P. Sloan Fellowship, NSF Career Award, Office
of Naval Research Young Investigator Award, Honda Research
Initiation Award, Hettleman Prize for Scholarly Achievement.
Along with his students, Manocha has also received 12 best
paper & panel awards at the leading conferences on graphics,
geometric modeling, visualization, multimedia, and high-performance
computing. He is a Fellow of ACM, AAAS, and IEEE. He received
Distinguished Alumni Award from Indian Institute of Technology,
Delhi.
Manocha has published
more than 350 papers in the leading conferences and journals
on computer graphics, robotics, and scientific computing.
He has also served as a program committee member and program
chair for more than 100 conferences in these areas, and editorial
boards of many leading journals. Some of the software systems
related to collision detection, GPU-based algorithms and geometric
computing developed by his group have been downloaded by more
than 100,000 users and are widely used in the industry. He
has supervised 22 Ph.D. dissertations.
Title: Interactive
Sound Simulation and Rendering
Abstract:
Extending the frontier of visual computing, sound rendering
utilizes sound to communicate information to a user and offers
an alternative means of visualization. By harnessing the sense
of hearing, audio rendering can further enhance a user's experience
in a multimodal virtual world and is required for immersive
environments, computer games, engineering simulation, virtual
training, and designing next generation human-computer interfaces.
In this talk,
we will give an overview of our recent work on sound synthesis
and sound propagation. These include generating realistic
physically-based sounds from rigid body dynamics simulations
and liquid sounds based on bubble resonance and coupling with
fluid simulators. We also describe new and fast algorithms
for sound propagation based on improved wave-based techniques
and fast geometric sound propagation. Our algorithms improve
the state of the art in sound propagation by almost 1-2 orders
of magnitude and we demonstrate that it is possible to perform
interactive propagation in complex, dynamic environments by
utilizing the computational capabilities of multi-core CPUs
and many-core GPUs. We will also demonstrate applications
to design of next-generation musical instruments, computer
gaming, room acoustics, and outdoor sound propagation.
http://www.cs.unc.edu/~dm
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