Publication

Recent (2017 - 2021)

Journals and Top Machine Learning Conferences

  • Aghasi, A., Rai, A., Xia, Y., "Improving Operational Efficiency through Image Analytics and Machine Learning", Under Review, 2021 [PDF]

  • Doostmohammadian, M., Aghasi, A., Pirani, M., Nekouei, E., Khan, U.A. and Charalambous, T., 2020. "Fast-Convergent Dynamics for Distributed Allocation of Resources Over Switching Sparse Networks with Quantized Communication Links", Under Review, 2021 [PDF]

  • Doostmohammadian, M., Aghasi, A., Charalambous, T., "1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks", Under Review, 2021 [PDF]

  • Malik, S., Anwar, U., Aghasi, A., Ahmed, A., "Inverse Constrained Reinforcement Learning", International Conference on Machine Learning, ICML 2021 [PDF]

  • Doostmohammadian, M., Aghasi, A., Charalambous, T., and Khan, U., "Distributed support vector machines over dynamic balanced directed networks." IEEE Control Systems Letters (2021) [PDF]

  • Aghasi, A., Heshmat, B., Wei, L. and Tian, M., 2021. Optimal allocation of quantized human eye depth perception for multi-focal 3D display design. Optics Express, 29(7), pp.9878-9896, 2021 [PDF]

  • Aghasi, A., Ahmed, A., Hand, P., Joshi, B., "Bilinear Compressed Sensing under known Signs via Convex Programming", IEEE Transactions on Signal Processing, 2020 [PDF]

  • Malik, S., Anwar, U., Ahmed, A., Aghasi, A., "Learning To Solve Differential Equations Across Initial Conditions", International Conference on Learning Representations, ICLR 2020, Deep Differential Equations [PDF]

  • Aghasi, A., Abdi, A. and Romberg, J., "Fast convex pruning of deep neural networks". SIAM Journal on Mathematics of Data Science, 2(1), pp.158-188, 2020 [PDF]

  • Ahmed, A., Aghasi, A., hand, P., "Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming", Journal of Machine Learning Research, (157):1−28, 2019, [PDF]

  • Aghasi, A., Ahmed, A., Hand, P., Joshi, B.,"Convex Bilinear Inversion from the Entrywise Product of Signals with Known Signs", Applied and Computational Harmonic Analysis, 2019, [PDF]

  • Ahmed, A., Aghasi, A., Hand, P., "Blind Deconvolutional Phase Retrieval by Convex Programming", Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2018, [PDF][video]

  • Aghasi, A., Ahmed, A., Hand, P., Joshi, B.,"A convex program for the bilinear inversion of sparse vectors", Advances in Neural Information Processing Systems (NeurIPS), 2018, [PDF]

  • Aghasi, A., Romberg, J., "Extracting the Principal Shape Components via Convex Programming", IEEE Transactions on Image Processing 27.7, pp. 3513-3528., 2018, [PDF]

  • Aghasi, A., Abdi, A., Nguyen, N. and Romberg, J. "Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee." In Advances in Neural Information Processing Systems (NeurIPS Spotlight), pp. 3180-3189, 2017, [PDF] [video]

Other Conferences, Workshops & Invited Talks

  • Feizollahi, M., Aghasi, A., Ghadimi, S., "Robust Training for Linear Regression with Missing Values", INFORMS Computing Conference, 2022

  • Aghasi, A., "On The Use Of Multi-objective Optimization In Deep Learning Models", INFORMS, 2019

  • Aghasi, A., "Pruning Deep Neural Networks with Net-Trim: Deep Learning and Compressed Sensing Meet", Machine Learning Seminar, Georgia Tech, Invited, 2018, [video]

  • Aghasi, A.,"Neural network pruning: deep learning and compressed sensing meet", 2018 Information Theory and Applications Workshop, Invited, 2018

  • Aghasi, A., Ahmed, A., and Hand, P.,"Convex Inversion of the Entrywise Product of Real Signals with Known Signs", Asilomar Conference on Signals, Systems and Computers, 2017, [PDF]

Before 2017

Journals

  • Aghasi, A., Heshmat, B., Redo-Sanchez, A., Romberg, J., Raskar, R., "Sweep Removal from THz Images via Blind Demodulation", Optica 3.7: 754-762.a, 2016, [Open Access] [PDF]

  • 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 (2016): 12665, [Open Access] [PDF]

  • Aghasi, A., Romberg, J., "Convex Cardinal Shape Composition", SIAM Journal on Imaging Sciences, Vol. 8, no. 4, pp. 2877-2950, 2015, [PDF]

  • Aghasi, A., Romberg, J., "Sparse Shape Reconstruction", SIAM Journal on Imaging Sciences, Vol. 6, no. 4, pp. 2075-2108, 2013, [PDF]

  • Aghasi, A., Miller, E., Ramsburg, A. and Abriola, L., "A Geometric Approach to Joint Inversion with Applications to Contaminant Source Zone Characterization", Inverse Problems, Vol. 29, no. 11, 2013, [PDF]

  • 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, [PDF]

  • 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, [PDF]

  • 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, [Open Access] [PDF]

  • Aghasi, A. and Miller, E., "Sensitivity Calculations for the Poisson's Equation via the Adjoint Field Method", IEEE Geoscience and Remote Sensing Letters, Vol. 9, no. 2, pp. 237--241, 2012, [PDF]

  • 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, [PDF]

  • 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, [PDF]

  • 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, [PDF]

Conference Proceedings

  • Aghasi, A. and Romberg, J.,"Convex Cardinal Shape Composition and Object Recognition in Computer Vision", Asilomar Conference on Signals, Systems, and Computers, November, 2015, [PDF]

  • Aghasi, A., Bahmani, S., and Romberg, J.,"A Tightest Convex Envelope Heuristic to Row Sparse and Rank One Matrices", IEEE Global Conference on Signal and Information Processing, 2013, [PDF]

  • Lun Yap, H., Balavoine, A., Mantzel W., Tian N., Sale D., Aghasi, A., and Romberg, J.,"POUTINE: A Correlation Estimation for Ergodic Stationary Signals", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, [PDF]

  • Aghasi, A., Mendoza-Sanchez, I., Abriola, L., Miller, E., "Coupled Hydrologic and Geophysical Inversion for Characterization of Nonaqueous Phase Source Zones", XIX International Conference in Computational Methods in Water Resources, University of Illinois at Urbana-Champaign, June 2012, [PDF]

  • Aghasi, A., Mendoza-Sanchez, I., Abriola, L., Miller, E., "Joint Electrical and Hydrological Inversion for Reconstruction of Subsurface Contaminant Source Zones", IEEE Geoscience and Remote Sensing Symposium, Munich, Germany, June 2012, [PDF]

  • Aghasi, A., Amindavar, H., and Miller, E., "Synthesis of Planar Arrays with Arbitrary Geometry for Flat-top Footprint Patterns", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2153--2156, Taipei, Taiwan, Apr 2009, [PDF]

  • Aghasi, A., Amindavar, H., and Miller, E.L., "Flat-top Power Patterns of Arbitrary Footprint Produced by Arrays of Arbitrary Planar Geometry", 13th International Symposium on Antenna Technology and Applied Electromagnetics and the Canadian Radio Science Meeting, Toronto, Canada, Feb 2009, [PDF]

  • Aghasi, A., Ghorbani, A., Amindavar, H. and Karkhaneh, H., "Solid State Power Amplifier Linearization Using the Concept of Best Approximation in Hilbert Spaces", International Conference on Communications, Circuits and Systems, pp. 2390--2393, Guilin, China, Jun 2006, [PDF]

  • Aghasi, A., Ghorbani, A. and Amindavar, H., "Polynomial Based Predistortion for Solid State Power Amplifier Nonlinearity Compensation", IEEE North-East Workshop on Circuits and Systems, pp. 181--184, Gatineau, QC, Canada, Jun 2006, [PDF]

Workshops & Invited Talks

  • Aghasi, A. and Romberg, J.,"Geometrical Learning and Cardinal Composition of Shape Elements in Imaging and Vision", SIAM Conference on Imaging Sciences, May 2016

  • Aghasi, A. and Romberg, J.,"Image Segmentation via Convex Cardinal Shape Composition", International Symposium on Mathematical Programming, July, 2015

  • Aghasi, A.,"Convex Cardinal Shape Composition and Object Recognition in Computer Vision", Google On-site Talk, May, 2015

  • Aghasi, A., Tang, T., Abriola, L., Miller, E., "Physics Based Forward Modeling for Inverse Methods", Workshop on Data Fusion: For the Detection of Rare and Anomalous Events, Ohio, December 2012

  • Aghasi, A., Miller, E. and Romberg, J., "Sparse Shape Reconstruction", SIAM Conference on Imaging Science, Philadelphia, May 2012, [link]

  • Aghasi, A. and Miller, E., "Multiobjective Optimization Methods for Shape-Based Joint Inversion", Invited to AMS-SIAM meeting as a mini-symposium, Boston, Jan 2012, [link]

  • Aghasi, A., Miller, E. and Abriola, L., "Characterization of Source Zone Architecture: A Joint Electrical and Hydrological Inversion Approach", American Geophysical Union Fall Meeting, San Francisco, California, Dec 2011, [link]

  • Aghasi, A., Miller, E., Ramsburg, A. and Abriola, L., "Contaminant Source Zone Reconstruction through a Joint Inversion of Electrical and Hydrological Data", IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane, Washington, USA, Jul 2011

  • Aghasi, A., Miller, E., Ramsburg, A. and Abriola, L., "A Joint Inversion Scheme for Contaminant Source Zone Reconstruction", SIAM Conference on Mathematical and Computational Issues in the Geosciences, Long Beach, USA, Mar 2011, [link]

  • Aghasi, A., Kilmer, M. and Miller, E., "A Parametric Level Set Method for Image Reconstruction", Progress in Electromagnetics Research Symposium Cambridge, MA, USA, Jul 2010

  • Aghasi A., Boghosian, B. and Miller, E., "A New Variational Edge Representation for Image Segmentation Using Active Contours", SIAM Conference on Imaging Science, Chicago, USA, Apr 2010, [link]

  • Aghasi, A. and Miller, E., "Parametric Level Set Methods for Inverse Problems", SIAM Conference on Imaging Science, Chicago, USA, Apr 2010, [link]

  • Miller, E., Aghasi, A., Ramsburg, A. and Abriola, L., "Subsurface Source Zones Reconstruction Using Electrical Impedance Tomography Shape-Based Inversion", American Geophysical Union Fall Meeting, San Francisco, California, Dec 2009, [link]

  • Aghasi, A., "Subsurface Contaminant Characterization Using Electrical impedance Tomography", SIAM Student Chapter, Tufts University, USA, Dec 2009

  • Aghasi, A., Miller, E., Ramsburg, A. and Abriola, L., "Parametric Shape-Based Inversion in Electrical Impedance Tomography for the Characterization of Subsurface Contaminant Distribution", Geological Society of America Annual Meeting, Portland, Oregon, USA, Oct 2009, [link]

  • Aghasi, A., Miller, E., "Shape-Based Inversion for Electrical Resistance Tomography Using Adaptive Radial Basis Functions", 10th US National Congress on Computational Mechanics, Ohio, USA, Jul 2009

  • Aghasi, A., Miller, E., "Electrical Resistance Tomography Using Adaptive Compactly Supported Radial Basis Functions", 13th Annual Graduate Student Council Research Symposium, Tufts University, USA, Mar 2009, [link]

  • Aghasi, A., Ghorbani, A., Rashed Mohassel J., "Arbitrary Pattern Synthesis through the Concept of Best Approximation in Hilbert Spaces", First European Conference on Antennas and Propagation, Nice, France, Nov 2006