Alireza Aghasi
Assistant Professor Institute for Insight- Education
- Ph.D., electrical & computer engineering, Tufts University
- M.Sc., operations research, Georgia Tech
- M.Sc., electrical & computer engineering, Tehran Polytechnic
- B.S., electrical & computer engineering, Isfahan University of Technology
- Specializations
- data science & machine learning
- signal & image processing
- optimization theory
- statistics & probability theory
- Biography
Alireza Aghasi is currently an assistant professor in the Institute for Insight at the Robinson College of Business. Prior to this he was a research scientist with the IBM T.J. Watson research center, Yorktown Heights. From 2015 to 2016 he was a postdoctoral associate with the computational imaging group at the Massachusetts Institute of Technology, and between 2012 and 2015 he served as a postdoctoral research scientist with the compressed sensing group at Georgia Tech. His research fundamentally focuses on optimization theory and statistics, with applications to various areas of data science, artificial intelligence, modern signal processing and physics-based inverse problems.
- Publications
- Aghasi, A., Ahmed, A., and Hand, P., “BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs”, In Review Process, 2017
- Aghasi, A., Romberg, J., “Extracting the Principal Shape Components via Convex Programming”, In Review Process, IEEE Transactions on Image Processing, 2017
- Aghasi, A., Nguyen, N., and Romberg, J., “Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks”, In Review Process, 2017
- Aghasi, A., Heshmat, B., Redo-Sanchez, A., Romberg, J., Raskar, R., “Sweep Distortion Removal from THz Images via Blind Demodulation”, Optica, Optica 3.7, 754-762, 2016
- Redo-Sanchez, A., Heshmat B., Aghasi, A., … , Romberg, J., Raskar, R., “Terahertz Time-gated Spectroscopic Imaging for Content Extraction through Layered Structures”, Nature Communications 7, 12665, 2016
- Aghasi, A., Romberg, J., “Convex Cardinal Shape Composition”, SIAM Journal on Imaging Sciences, Vol. 8, no. 4, pp. 2877-2950, 2015
- Aghasi, A., Romberg, J., “Sparse Shape Reconstruction”, SIAM Journal on Imaging Sciences, Vol. 6, no. 4, pp. 2075-2108, 2013
- Aghasi, A., Mendoza-Sanchez, I., Miller, E., Ramsburg, A. and Abriola, L., “A Geometric Approach to Joint Inversion with Applications to Contaminant Source Zone Characterization”, Inverse Problems, Vol. 29, 2013
- Polydorides, N., Aghasi, A. and Miller, E., “High-Order Regularized Regression in Electrical Impedance Tomography”, SIAM Journal on Imaging Sciences, Vol. 5, no. 3, pp. 912–943, 2012
- Miller, E., Abriola, L. and Aghasi, A., “Environmental Remediation and Restoration: Hydrological and Geophysical Processing Methods”, IEEE Signal Processing Magazine, Vol. 29, no. 4, pp. 16–26, 2012
- Aghasi, H., Amindavar, H. and Aghasi, A., “A Hybrid Global Minimization Scheme for Accurate Source Localization in Sensor Networks”, EURASIP Journal on Advances in Signal Processing, 2011:81, 2011
- Aghasi, A. and Miller, E., “Sensitivity Calculations for the Poisson’s Equation via the Ad- joint Field Method”, IEEE Geoscience and Remote Sensing Letters, Vol. 9, no. 2, pp. 237–241, 2012
- Aghasi, A., Kilmer, M. and Miller, E., “Parametric Level Set Methods for Inverse Problems”, SIAM Journal on Imaging Sciences, Vol. 4, no. 2, pp. 618–650, 2011
- Aghasi, A., Amindavar, H., Miller, E. and R-Mohassel, J., “Flat-Top Footprint Pattern Synthesis Through the Design of Arbitrary Planar-Shaped Apertures”, IEEE Transactions on Antennas and Propagation, Vol. 58, no. 8, pp. 2539–2552, 2010
- Aghasi, A., Karkhaneh, H. and Ghorbani, A., “A Modified Model and Linearization Method for Solid State Power Amplifier”, Analog Integrated Circuits and Signal Processing, Vol. 51, no. 2, pp. 81-88, 2007