email : ep@di.ku.ku

About me

I’m Elham, a guest visitor student in the Machine Learning Section at the University of Copenhagen, where I’m a member of the CoAStaL NLP group under the supervision of Desmond Elliott. My interests are machine learning, Natural Language Processing, Image processing and computer vision. My recent works include text-to-image generation and semantic parsing.

Education

2019-Present

Visitor student-University of Copenhagen. Supervisor: Desmond Elliott.

2011-2013

MSc-Computer Engineering-Shiraz University-Iran. Supervisor: Eghbal Mansoori.

2006-2010

BSc-Computer Engineering-Payamnoor University-Iran.

Publications

Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev, Elham Pejhan and Joakim Nivre. IWPT 2020 Shared Task.

Elham Pejhan, Mohammad Ghasemzadeh. 2018. Big Graph Mining and Applications. 10th Conference on Graph Theory and Algebraic Combinatorics, January 2018, Yazd University, Yazd, Iran.

A biologically inspired solution for fuzzy travelling salesman problem. Elham Pejhan, Eghbal Mansoori. International Symposium on Artificial Intelligence and Signal Processing (AISP), Springer, Cham., pp. 277–287.

An incomplete and asynchronous algorithm based on localization for distributed constraint optimization. Jafar Tahmouresnezhad, Mohammad Dastgheyb, Fatemeh Alizadeh, Elham Pejhan, Razieh Moghaddas, Ali Hamzeh. Information and Knowledge Technology (IKT), 5th Conference, IEEE., Iran, pp. 214–218.