Ali Jalali

Senior Applied Scientist

Turn Inc.

835 Main St #1
Redwood City, CA 94063

Phone: +1-650-367-1955
Email: ajalali[AT]turn[DOT]com

 

 

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 I am currently a senior applied scientist at Turn Inc.

 

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 I worked as applied scientist in Advertising Sciences at Yahoo! Labs (May-August 2012).

 

 

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 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.

 

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 I obtained my BS in Electrical Engineering from Sharif University of Technology, Tehran, Iran (2004) and my MS in IT/Data Communication from Computer Engineering Department, Sharif University of Technology, Tehran, Iran (2007).

 

   

  Research Interests

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Learning Theory

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Machine Learning

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Low-Complexity Algorithms

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High-dimensional Statistics and Optimization

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Optimization Theory

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Compressive Sensing

 

   

  Publication

[22] Ali Jalali and Sujay Sanghavi, ``A New Greedy Algorithm for Multiple Sparse Regression,'' 2013. (CODE)

 

[21] Ali Jalali, Santanu Kolay, Peter Foldes and Ali Dasdan, ``Scalable Audience Reach Estimation in Real-time Online Advertising,'' BigMUD, ICDM 2013.

 

[20] Kuang-Chih Lee, Ali Jalali and Ali Dasdan, ``Real Time Bid Optimization with Smooth Budget Delivery in Online Advertising,'' ADKDD, 2013.

 

[19] Ali Jalali, Javad Azimi, Xiaoli Fern and Ruofei Zhang, ``A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization,'' ECML, 2013.

 

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

 

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

 

[16] Javad Azimi, Ali Jalali and Xiaoli Fern, ``Hybrid Batch Bayesian Optimization,'' ICML, 2012. (Poster)

 

[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) --- Journal Version: IEEE Transaction on Information Theory, 2013.

 

[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)

 

 

 

 

 

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Ph.D. Thesis, "Dirty Statistical Models", Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX, April 2012. (Slides) (Video)

 

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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

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

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

   

  Graduate Internships

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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.

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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

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My CV is available in PDF format

 

 

 Copyright 2008-2012 - Ali Jalali, Wireless Networking and Communication Group, University of Texas at Austin

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