Ali Jalali

The Wireless Networking and Communication Group

The Cockrell School of Engineering
The University of Texas at Austin
1 University Station, Mail Code: C0806
Austin, TX 78712

Phone: +1-512-471-6500
Email: alij[AT]utexas[DOT]edu

 
 
bullet  I got my PhD under supervision of Prof. Sujay Sanghavi on dirty statistical models from Electrical and Computer Engineering Department, University of Texas at Austin in 2012. Throughout my PhD, I also worked closely with Prof. Pradeep Ravikumar.

bullet  I obtained my B.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran (2004) where I found lots of cool friends. I pursued my education in IT/Data Communication and got my M.S. from Computer Engineering Department of Sharif University of Technology, Tehran, Iran (2007).

 

      Research Interests
bullet

Learning Theory
bullet

Machine Learning
bullet

Low-Complexity Algorithms
bullet

High-dimensional Statistics and Optimization
bullet

Optimization Theory
bullet

Matrix Completion/Analysis
bullet

Compressive Sensing

 
      Publication

 [19]

Ali Jalali, Javad Azimi and Xiaoli Fern, ``Exploration vs Exploitation in Bayesian Optimization,'' 2012.

 [18]

Ali Jalali and Nathan Srebro, ``Clustering using Max-norm Constrained Optimization,'' ICML, 2012. (CODE)

 [17]

Ali Jalali and Sujay Sanghavi, ``Learning the Dependence Graph of Time Series with Latent Factors,'' ICML, 2012. (CODE)

 [16]

Javad Azimi, Ali Jalali and Xiaoli Fern, ``Hybrid Batch Bayesian Optimization,'' ICML, 2012.

 [15]

Christopher Johnson, Ali Jalali and Pradeep Ravikumar, ``High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods,'' AI STAT, 2012 (Oral Presentation) (Poster) (Slides)

 [14]

Ali Jalali, Christopher Johnson and Pradeep Ravikumar, ``On Learning Discrete Graphical Models Using Greedy Methods,'' NIPS, 2011. (Spotlight)

 [13]

Ali Jalali, Yudong Chen, Sujay Sanghavi and Huan Xu, ``Clustering Partially Observed Graphs via Convex Optimization,'' ICML, 2011 (Oral Presentation). (Poster) (Slides)

 [12]

Yudong Chen, Ali Jalali, Sujay Sanghavi and Constantine Caramanis, ``Low-Rank Matrix Recovery From Errors and Erasures,'' ISIT, 2011. (Slides)

 [11]

Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki and Sujay Sanghavi, ``On Learning Discrete Graphical Models using Group-Sparse Regularization,'' AI STAT, 2011. (Poster)

 [10]

Ali Jalali, Pradeep Ravikumar, Sujay Sanghavi and Chao Ruan, ``A Dirty Model for Multitsak Learning,'' NIPS, 2010 (Oral Presentation) (CODE). (Poster) (Slides)

 [9]

Ali Jalali and Sujay Sanghavi, ``Graph Clustering via Convex Optimization,'' Information Theory Workshop, San Diego, CA, 2010 (invited).

 [8]

Ali Jalali and David Love, ``Closed-Form Expression for Optimal Two-User MIMO Unitary Precoding,'' IEEE Communications Letters, vol. 13, pp. 251-253, 2009.

 [7]

Ali Jalali, David Love, Sujay Sanghavi and Bertrand Hochwald, ``Conferencing on Trees,'' Conference on Information Sciences and Systems (CISS'09), Baltimore, MD, Mar. 18 - Mar. 20, 2009.

 [6]

Chun-Kin Au-Yeung, Ali Jalali and David Love, ``Insights into feedback and feedback signaling for beamformer design,'' in UCSD Information Theory and Applications Workshop, La Jolla, CA, 2009. (invited)

 [5]

Hossein Ravanbod and Ali Jalali, ``Configurable ultrasonic flaw classification of oil pipelines,'' Part II: Feature Extraction, Classification and Error Verification, Nondestructive Testing and Evaluation, Vol. 23, pp. 77-88, June 2008.

 [4]

Hossein Ravanbod and Ali Jalali, ``Configurable ultrasonic flaw classification of oil pipelines,'' Part I: Image Acquisition, Pre-processing and Flaw Area and Volume Estimation, Nondestructive Testing and Evaluation, Vol. 23, pp. 43-55, March 2008.

 [3]

Hossein Ravanbod, Freidoun Behnia and Ali Jalali, ``Determining the required information in scanning of the oil pipelines,'' Sharif Scientific Journal: Electrical and Computer Engineering, Vol. 38, pp. 52-61, 2007. (In Persian)

 [2]

Ali Jalali and Hamid Sarbazi-Azad, ``The edge product of networks,'' Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT'07), pp. 371-375, 2007.

 [1]

Ali Jalali, Seyyed Morteza Mousavi, Hossein Sameti and Hamid Reza Rabiee, ``A new generalized side-lobe canceller based algorithm for speech enhancement'', in Proceeding of the 15th Iranian Conference in Electrical Engineering (ICEE), Tehran, Iran, 2006. (In Persian)

 
 T3 Ph.D. Thesis, "Dirty Statistical Models", Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX, April 2012. (Slides) (Video)
 T2  M.Sc. Thesis, "Information Theoretic Approach to Distributed Video Coding", Computer Engineering Department, Sharif University of Technology, Tehran, Iran, June 2007.
 T1  B.Sc. Thesis, "Interharmony Meter for Power Lines", Electrical Engineering Department, Sharif University of Technology, Tehran, Iran, Feb 2004.

 
      Teaching
bullet

Spring 2010 and Spring 2012, TA, Sparsity, Structure and Algorithms, Electrical and Computer Engineering, University of Texas at Austin, Austin, TX.
bullet

Fall 2006, TA, Stochastic Processes, Computer Engineering Department, Sharif University of Technology, Tehran, Iran.

 
      Work Experience
bullet Toyota Technological Institute,  Research Intern , Chicago, IL , Fall 2011.

I worked on multi-class graph clustering using γ2-norm (max-norm) minimization with Nati Srebro.
bullet Solar Power Technologies,  Wireless Communication R&D Intern , Austin, TX , Summer 2010.

I designed and implemented the network layer for solar panel data acquisition wireless network based on MAC 802.15.4 standard. The network supports up to 30000 nodes per coordinator.
      Resume
bullet My CV is available in PDF format
 
 Copyright 2008-2012 - Ali Jalali, Wireless Networking and Communication Group, University of Texas at Austin