I am currently a Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University in Melbourne, Australia. In June 2015 I completed my PhD in EECS at MIT where I was part of the Laboratory for Information and Decision Systems (LIDS). From June 2015-June 2016 I was a Research Associate (postdoc) at the University of Washington and a Postdoctoral Scholar at Caltech. |

Email:

Office: Room 222, 14 Alliance Lane (Building 72), Monash University (Clayton)

Phone: +61 3 9905 3500

I am currently looking for PhD students who are interested in doing foundational research in mathematical optimisation and its applications. If you have a strong mathematical background, and an interest in developing new computational methods, with performance guarantees, for problems in areas such as signal processing, statistics, and machine learning, please contact me.

R. P. Adams, J. Pennington, M. J. Johnson, J. Smith, Y. Ovadia, B. Patton, J. Saunderson,

*Estimating the Spectral Density of Large Implicit Matrices*, February 2018

[arxiv]

N. Veldt, D. Gleich, A. Wirth, J. Saunderson,

*A Projection Method for Metric-Constrained Optimization*, June 2018

[arxiv]

R. Eghbali, J. Saunderson, M. Fazel,

*Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone*, Mathematical Programming Series B, Vol. 170, No. 1, pp. 267–292, 2018 [doi] [arxiv]

H. Fawzi, J. Saunderson, P. A. Parrilo,

*Semidefinite approximations of the matrix logarithm*, To appear in Foundations of Computational Mathematics. [doi] [arxiv] [code]

J. Saunderson,

*A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone*, Optimization Letters, Vol. 12, No. 7, pp. 1475–1486, 2018 [doi] [arxiv] [YouTube]

A. Raymond, J. Saunderson, M. Singh, R. R. Thomas,

*Symmetric Sums of Squares over k-Subset Hypercubes*, Mathematical Programming Series A, Vol. 167, No. 2, pp. 315–354, 2018 [doi] [arxiv]

H. Fawzi, J. Saunderson,

*Lieb's concavity theorem, matrix geometric means, and semidefinite optimization*, Linear Algebra and its Applications, Vol. 513, pp. 240–263, 2017 [doi] [arxiv] [matlab code]

H. Fawzi, J. Saunderson, P. A. Parrilo,

*Equivariant semidefinite lifts of regular polygons*, Mathematics of Operations Research, Vol. 42, No. 2, pp. 472–494, 2017 [doi] [arxiv]

H. Fawzi, J. Saunderson, P. A. Parrilo,

*Sparse sums of squares on finite abelian groups and improved semidefinite lifts*, Mathematical Programming Series A, Vol. 160, No. 1, pp. 149–191, 2016 [doi] [arxiv]

J. Saunderson, P. A. Parrilo, A. S. Willsky,

*Convex solution to a joint attitude and spin-rate estimation problem*, J. Guidance, Control, and Dynamics, Vol. 39, No. 1, pp. 118–127, 2016 [doi] [arxiv]

H. Fawzi, J. Saunderson, P. A. Parrilo,

*Equivariant semidefinite lifts and sum-of-squares hierarchies*, SIAM J. Optimization, Vol. 25, No. 4, pp. 2212–2243, 2015 [doi] [arxiv]

J. Saunderson, P. A. Parrilo, A. S. Willsky,

*Semidefinite descriptions of the convex hull of rotation matrices*, SIAM J. Optimization, Vol. 25, No. 3, pp. 1314–1343, 2015 [doi] [arxiv] [pdf]J. Saunderson, P. A. Parrilo,

*Polynomial-sized semidefinite representations of derivative relaxations of spectrahedral cones*, Mathematical Programming Series A, Vol. 153, No. 2, pp. 309–331, 2015 [doi] [arxiv] [pdf]

J. Saunderson, V. Chandrasekaran, P. A. Parrilo, A. S. Willsky,

*Diagonal and low-rank matrix decompositions, correlation matrices, and ellipsoid fitting*, SIAM J. Matrix Analysis and Applications, Vol. 33, No. 4, pp. 1395–1416, 2012 [doi] [arxiv] [pdf] [bibtex]

A. A. Ahmadi, G. Hall, A. Papachristodoulou, J. Saunderson, Y. Zheng,

*Improving efficiency and scalability of sum of squares optimization: recent advances and limitations*, To appear in Proc. 56th IEEE Conference on Decision and Control (CDC), Dec 2017 [doi] [arxiv]

A. Jalali, J. Saunderson, M. Fazel, B. Hassibi,

*Error bounds for Bregman Denoising and Structured Natural Parameter Estimation*, Proc. 2017 IEEE International Symposium on Information Theory (ISIT), June 2017 [doi]

J. Saunderson, M. Fazel, B. Hassibi,

*Simple algorithms and guarantees for low rank matrix completion over F*, Proc. 2016 IEEE International Symposium on Information Theory (ISIT), July 2016 [doi]_{2}

K. Jaganathan, J. Saunderson, M. Fazel, Y. C. Eldar, B. Hassibi,

*Phaseless super-resolution using masks*, Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2016 [doi]

H. Fawzi, J. Saunderson, P. A. Parrilo,

*Sparse sum-of-squares certificates on finite abelian groups*, Proc. 54th IEEE Conference on Decision and Control (CDC), December 2015 [doi]

J. Saunderson, P. A. Parrilo, A. S. Willsky,

*Semidefinite relaxations for optimization problems over rotation matrices*, Proc. 53rd IEEE Conference on Decision and Control (CDC), December 2014 [doi] [pdf]

J. Saunderson, P. A. Parrilo, A. S. Willsky,

*Diagonal and low-rank decompositions and fitting ellipsoids to random points*, Proc. 52nd IEEE Conference on Decision and Control (CDC), December 2013 [doi] [pdf] [bibtex]

M. J. Johnson, J. Saunderson, A. S. Willsky,

*Analyzing Hogwild Parallel Gaussian Gibbs Sampling*, Advances in Neural Information Processing Systems (NIPS), December 2013 [url] [pdf] [bibtex]

J. Saunderson, V. Chandrasekaran, P. A. Parrilo, A. S. Willsky,

*Tree-structured statistical modeling via convex optimization*, Proc. 50th IEEE Conference on Decision and Control (CDC), December 2011 [doi] [pdf] [bibtex]

T. Coleman, J. Saunderson, A. Wirth,

*A local-search 2-approximation for 2-correlation-clustering*, Proc. European Symposium on Algorithms (ESA), September 2008 [doi] [pdf] [bibtex]T. Coleman, J. Saunderson, A. Wirth,

*Spectral clustering with inconsistent advice*, Proc. International Conference on Machine Learning (ICML), June 2008 [doi] [pdf] [bibtex]

PhD Thesis:

*Semidefinite representations with applications in estimation and inference*, April 2015

[dspace] [pdf]

Honour's Thesis:

*Mostow's rigidity theorem*, November 2008

[pdf]

*Monash University*

Semester 2, 2018: ECE2111 Signals and systems

Semester 2, 2018: ECE4132 Control system design

Semester 2, 2017: ECE2111 Signals and systems

Semester 2, 2017: ECE3062 Electronic systems and control

Semester 2, 2016: ECE3062 Electronic systems and control

*MIT*

Fall 2011: TA for 6.255/15.093J Optimization Methods

*Divundu combined school*

January 2009 – June 2009: Teacher of grades 8–10 mathematics and physical science

*University of Melbourne*

Semester 2, 2008: Lab demonstrator for 431-461 Signal Processing 2

Semester 1, 2008: Lab demonstrator for 431-335 Signal Processing 1

Semester 2, 2007: Tutor for 431-221 Fundamentals of Signals and Systems

Semester 1, 2007: Lab demonstrator for 431-325 Stochastic Signals and Systems

Semester 2, 2006: Tutor for 431-221 Fundamentals of Signals and Systems