Electrical Engineering Information

Adel Javanmard

Electrical Engineering Dept., Stanford University phone: 650-***-****

*** ***** ****, ******* **** 239, email: abpi73@r.postjobfree.com

Stanford, CA 94305-9510 http://stanford.edu/~adelj

Design and analysis of algorithms for machine learning

Research

Graphical modeling, Iterative algorithms, Coding theory

Interests

Network algorithms, Dynamical Systems and Control theory

Applications of Graph theory, Probability, and Optimization in general

Stanford University, Stanford, CA Sep. 2009 - Present

Education

M.S./PhD in Electrical Engineering (M.S. awarded in 2011) GPA: 4.18

Advisor: Prof. Andrea Montanari, Co-advisor: Prof. Balaji Prabhakar.

Relevant Courses: Inference, Estimation, and Information Processing; Linear Dynamical Systems;

Convex Optimization; Machine Learning; Data mining; Information Theory; Modern Coding; In-

formation Networks; Theory of Probability; Modern Markov Chain; Inference in Graphical Models;

Randomized Algorithms; Advanced Topics in Information & Technology (Reinforcement Learning);

Modern Applied Statistics: Data Mining.

Sharif University of Technology, Tehran, Iran Sep. 2004 - Jun. 2009

B.Sc. in Electrical Engineering, Communications GPA: 19.10/20

Thesis: Throughput analysis for a multi-hop mobile ad hoc network with heterogeneous wireless nodes.

B.Sc. in Mathematics (Double major program with Electrical Engineering)

Selected Courses: Graph Theory and Applications, Stochastic Analysis, Functional Analysis, Fourier

Analysis, Algebraic Geometry, General Topology, Abstract Algebra (Ring Theory, Module Theory,

Field and Galois Theory)

Stanford Graduate Fellowship 2010-2012

Awards and

Honors Stanford Electrical Engineering Fellowship 2009-2010

nd

Ranked 2 /170 in Electrical Engineering Dept., Sharif University of Technology 2009

st

Ranked 1 /70 in Mathematics Dept., Sharif University of Technology 2009

45th

Silver medal, International Mathematical Olympiad (IMO), Athens, Greece 2004

Gold medal, National Mathematical Olympiad, Tehran, Iran 2003

Bronze medal, National Mathematical Olympiad, Tehran, Iran 2002

Awarded as an Outstanding Student by university president, Sharif University 2005

Microsoft Research New England, Cambridge, MA

Work

Research Intern Jun. 2012 - Sep. 2012

Experience

Learning graphical models with latent variables.

Microsoft Research Silicon Valley, Mountain View, CA

Research Intern Jun. 2011 - Sep. 2011

Design/Implementing algorithms for Map-matching problems.

Characterizing minimax risk of truncated series estimators over symmetric convex polytopes.

Journal Papers:

Publications

[1]. Adel Javanmard and Andrea Montanari, Hypothesis Testing in High-Dimensional Regression

under the Gaussian Random Design Model, in prepration.

[2]. Animashree Anandkumar, Daniel Hsu, Adel Javanmard,and Sham M. Kakade, On Learning

Linear Directed Acyclic Graphs with Latent Variables, in prepration.

[3]. David L. Donoho, Adel Javanmard, and Andrea Montanari, Information-Theoretically Optimal

Compressed Sensing via Spatial Coupling and Approximate Message Passing, submitted 2011.

[4]. Adel Javanmard and Li Zhang The minimax risk of truncated series estimators for symmetric

convex polytopes, submitted 2012.

[5]. Adel Javanmard and Andrea Montanari, Localization from Incomplete Noisy Distance Mea-

surements, to appear in Foundations of Computational Mathematics.

[6]. G. Hosein Mohimani, Farid Ashtiani, Adel Javanmard, and Maziyar Hamdi, Mobility Modeling,

Spatial Tra c Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc

Networks, IEEE Trans. On Vehicular Technology, vol. 58, no. 4, pp. 1998 2007, May 2009

[7]. Adel Javanmard, and Farid Ashtiani, Analytical Evaluation of Average Delay and Maximum

Stable Throughput along a Typical Two-Way Street for Vehicular Ad-Hoc Networks in Sparse Situ-

ation, Elsevier Computer Communications, vol. 32, no. 16, pp. 1768 1780, Oct. 2009

[8]. S. Akbari, A. Daemi, O.Hatami, A. Javanmard, A. Mehrabian, Zero-Sum Flows in Regular

Graphs, Graphs and Combinatorics Journal, vol. 26, no. 5, pp. 603-615, 2010.

[9]. S. Akbari, A. Daemi, O.Hatami, A. Javanmard, A. Mehrabian, Nowhere-zero Unoriented Flows

in Hamiltonian Graphs, to appear in Ars Combinatoria Journal.

Conference Papers:

[1]. Morteza Ibrahimi, Adel Javanmard, and Benjamin Van Roy, E cient Reinforcement Learning

for High Dimensional Linear Quadratic Systems, To appear in Proceedings of Advances in Neural

Information Processing Systems (NIPS), 2012.

[2]. Adel Javanmard, Maya Haridasan, and Li Zhang, Multi-track Map Matching, To appear in

Proceedings of the ACM SIGSPATIAL conference on Advances in Geographic Information Systems,

2012.

[3]. Adel Javanmard and Andrea Montanari, Subsampling at Information Theoretically Optimal

Rates, Proceedings of IEEE International Symposium on Information Theory, 2012.

[4]. David L. Donoho, Adel Javanmard, and Andrea Montanari, Information-Theoretically Optimal

Compressed Sensing via Spatial Coupling and Approximate Message Passing, Proceedings of IEEE

International Symposium on Information Theory, 2012.

[5]. Adel Javanmard and Li Zhang The minimax risk of truncated series estimators for symmet-

ric convex polytopes, Proceedings of IEEE International Symposium on Information Theory, 2012.

(Best Student Paper Award Finalist)

[6]. Mohammad Alizadeh, Adel Javanmard, Shang-Tse Chuang, Sundar Iyer, and Yi Lu Versatile

Refresh: Low-Complexity Refresh Scheduling for High-throughput Multi-banked eDRAM, SIGMET-

RICS/Performance 2012.

[7]. Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, and Andrea Montanari, Robust Max-

Product Belief Propagation, Asilomar Conference on Signals, Systems and Computers, 2011.

[8]. Adel Javanmard, and Andrea Montanari, Localization form Incomplete Noisy Distance Mea-

surements, Proceedings of IEEE International Symposium on Information Theory, 2011. (Best

Student Paper Award Finalist)

[9]. Mohammad Alizadeh, Adel Javanmard, and Balaji Prabhakar, Analysis of DCTCP: Stability,

Convergence, and Fairness, SIGMETRICS 2011.

[10]. A. Javanmard, P. Pad, M. Babaie-Zadeh and C. Jutten, Estimating The Mixing Matrix In Un-

derdetermined Sparse Component Analysis (SCA) Using Consecutive Independent component Analy-

sis (ICA), Accepted In Proc. 15th European Signal Processing Conference (EUSIPCO), Lausanne,

Switzerland, Aug. 2008.

Ad-hoc Reviewer for IEEE Symposium on Information Theory, IEEE Transactions on Signal Pro-

Professional

cessing, IEEE ACM Transactions on Sensor Networks, Journal of Combinatorial Optimization.

Service

Teaching Assistant:

Modern Coding Theory, Stanford University

Probability and Statistics, Linear Algebra, Graph Theory and Applications, Sharif University.

C, C++, Code Composer and DSP Programming, Matlab, R, PSpice.

Computer

Skills:

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