Information Processing
& Algorithms Laboratory

everything can be optimized

ABOUT

The Information Processing and Algorithms Laboratory (iPAL) is directed by Prof. Vishal Monga. Graduate research in iPAL broadly encompasses signal and image processing theory and applications with a particular focus on capturing practical real-world constraints via convex optimization theory and algorithms.

NEWS

NEW! Handbook of Convex Optimization Methods in Imaging Science

This book discusses imaging science and provides tools for solving image processing and computer vision problems using convex optimization methods. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems.

NEW! Research Highlights of Regularized Deep Networks

Recent projects include Regularized Deep Networks which strengthen deep networks with domain knowledge.

RESEARCH AREAS

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Medical Imaging
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Computational
Imaging
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Robust Time-series
& Video Hashing
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Radar Signal
Processing
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Regularized Deep Networks
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Sparsity Constrained Estimation

KEY RESEARCH COLLABORATORS

Academia

Prof. Trac Tran (Johns Hopkins University)

Government Labs

Dr. Muralidhar Rangaswamy (US Air Force Research Laboratory)
Dr. Nasser Nasrabadi (US Army Research Laboratory, now West Virginia University)

Industry

Dr. Raja Bala (Xerox PARC)

KEY RESEARCH SPONSORS

Email
ipal.psu@gmail.com

Address
104 Electrical Engineering East,
University Park, PA 16802, USA

Lab Phone:
814-863-7810
814-867-4564