Mehdi Ghasemi
My name is Mehdi Ghasemi (in Persian "مهدی قاسمی"). I was born in Iran - Tehran in February 1980 and grew up there. I graduated from the Amirkabir University of Technology with a bachelor's degree in August 2002, then finished my master's degree at Tarbiat Modares University in August 2004. After graduating from my master's program, I worked for IPM as a researcher between April 2004 and March 2005, then more than three years for Omigaman as a web developer and analyst.
I received my Ph.D. in the University of Saskatchewan, Department of Mathematics and Statistics, under the supervision of Professor S. Kuhlmann (Universität Konstanz) and Professor M. Marshall in August 2012.
I was a postdoctoral researcher at the University of Konstanz, Germany, Nanyang Technological University, Singapore, and a MITACS fellow at the University of Saskatchewan from September 2012 to August 2017.
I was employed by the Government of Saskatchewan, Canada, from August 2017 to June 2020, as a data scientist and affiliated with the University of Saskatchewan as an adjunct professor.
Currently, I work as a Senior Scientist for the Edmonton Police Service, Edmonton, Alberta.
This is a link to my latest Curriculum Vitæ.
Major Projects:
The followings are some of the major scientific libraries I have implemented for python.
Selected Publications
Mathematics:
R. E. Curto, M. Ghasemi, M. Infusino, S. Kuhlmann, The Truncated Moment Problem for Unital Commutative R-Algebras, To appear in JOT (2022).
M. Ghasemi, M. Infusino, S. Kuhlmann, and M. Marshall, Moment Problem for Symmetric Algebras of Locally Convex Spaces, IEOT 90(3), 29, (2018).
M. Alaghmandan, M. Ghasemi, Seminormed ∗-subalgebras of l∞(X), JMAA 455(1), 212-220, (2017).
M. Ghasemi, S. Kuhlmann, and M. Marshall, Moment Problem in Infinitely Many Variables, Israel J. Math 212(2), 1012, (2016).
M. Ghasemi and M. Marshall, Lower bounds for a polynomial on a basic closed semialgebraic set using geometric programming, arXiv:1311.3726 [math.OC].
M. Ghasemi, S. Kuhlmann, and M. Marshall, Application of Jacobi’s Representation Theorem to locally multiplicatively convex topological R-Algebras, J. Funct. Anal. 266:2 1041-1049, (2014), DOI:10.1016/j.jfa.2013.09.001.
M. Ghasemi, J. B. Lasserre, and M. Marshall, Lower bounds on the global minimum of a polynomial, Comput. Optim. Appl. 56(1) (2013), DOI:10.1007/s10589-013-9596-x.
M. Ghasemi and S. Kuhlmann, Closure of the cone of sums of 2d-powers in real topological algebras, J. Funct. Anal. 264:1 413-427, (2013), DOI:10.1016/j.jfa.2012.10.018.
Ph.D. Thesis, Polynomial Optimization and Moment Problem, University of Saskatchewan.
M. Ghasemi, M. Marshall, and S. Wagner, Closure of the cone of sums of 2d-powers in certain weighted l1- seminorm topologies, Canad. Math. Bull. 57 289-302 (2014), DOI:10.4153/CMB-2012-043-9.
M. Ghasemi and M. Marshall, Lower bounds for polynomials using geometric programming, SIAM J. Optim. 22(2) 460-473, (2012), DOI:10.1137/110836869.
M. Ghasemi, S. Kuhlmann, and E. Samei, The moment problem for continuous positive semidefinite linear functionals, Arch. Math. 100 43-53, (2012), DOI:10.1007/s00013-012-0460-5.
M. Ghasemi and M. Marshall, Lower bounds for a polynomial in terms of its coefficients, Arch. Math. 95 343-353, (2010), DOI:10.1007/s00013-010-0179-0.
M. Ghasemi and M. Moniri, Beatty sequences and the arithmetical hierarchy, LNL. 26, Logic in Tehran, ASL 126-133, (2006).
M.Sc. Thesis, Integer Parts of Real Arithmetic Progressions and Computability, Tarbiat Modares Uni. Supervisor: Prof. M. Moniri.
Computer Science:
E. Hesamifard, H. Takabi, M. Ghasemi, R.N. Wright, Privacy-preserving Machine Learning as a Service, Proceedings on Privacy Enhancing Technologies (3), 123-142, (2018).
E. Hesamifard, H. Takabi, M. Ghasemi, C. Jones, Privacy-preserving Machine Learning in Cloud, Proceedings of the 2017 on Cloud Computing Security Workshop, 39-43, (2017).
A. K. Dalai, S. Shahkarami, M. Ghasemi and J. Soltan, CO2 Adsorption on Activated Carbon: Equilibrium, and Kinetics of Fixed-Bed Isothermal Adsorption, submitted.
E. Hesamifard, H. Takabi, M. Ghasemi, CryptoDL: Towards Deep Learning over Encrypted Data, Annual Computer Security Applications Conference (ACSAC 2016), LA, CA (2016).
E. Hesamifard, H. Takabi, M. Ghasemi, Privacy Preserving Multi-party Machine Learning with Homomorphic Encryption, 29th Annual Conference on Neural Information Processing Systems (NIPS), (2016).