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. My advisors were Prof. Pablo Parrilo and Prof. Alan Willsky. From June 2015-June 2016 I was a Research Associate (postdoc) at the University of Washington in Prof. Maryam Fazel's group and a Postdoctoral Scholar at Caltech in Prof. Babak Hassibi's group. |

Email:

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

Phone: +61 3 9905 3500

J. Saunderson,

*A spectrahedral representation of the first derivative relaxation of the positive semidefinite cone*, July 2017

[arxiv]

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

*Semidefinite approximations of the matrix logarithm*, May 2017

[arxiv] [code]

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

*Symmetric Sums of Squares over k-Subset Hypercubes*, to appear in Mathematical Programming Series A [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 [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, 2017: ECE2111 Signals and systems

Semester 2, 2017: Part 2 of ECE3062 Electronic systems and control

Semester 2, 2016: Part 2 of 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