Leonidas Kapsokalivas
London, United KingdomResearch field: Computer and Information Science - Algorithms and Computational Theory
Stochastic Local Search, Optimization, Mathematical Programming, Monte Carlo methods, Bioinformatics, Protein Structure Prediction, Machine Learning,
Publications
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Journal Article (2)
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A.A. Albrecht, L. Kapsokalivas, K. Steinhöfel (2010) Uphill unfolding of native protein conformations in cubic lattices, 6-12. In Journal of Computational Science 1 (1).
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(2009) Population-based local search for protein folding simulation in the MJ energy model and cubic lattices, 283-294. In Computational Biology and Chemistry 33 (4).
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Conference Proceedings (6)
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Leonidas Kapsokalivas, Kathleen Steinhofel (2010) A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins, 146-157. In Lecture Notes in Computer Science, Volume 6023.
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Leonidas Kapsokalivas (2010) Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins, 224-227. In Lecture Notes in Computer Science, 2010, Volume 6073.
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Hans-Joachim Böckenhauer, Abu Zafer M. Dayem Ullah, Leonidas Kapsokalivas et al. (2008) A Local Move Set for Protein Folding in Triangular Lattice Models , 369-381. In Lecture Notes in Computer Science, Volume 5251.
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Gan Xiangchao, Leonidas Kapsokalivas, Andreas Alexander Albrecht et al. (2008) A Symmetry-Free Subspace for Ab initioProtein Folding Simulations, 128-139. In Communications in Computer and Information Science, 2008, Volume 13, Part 1, Part 4,.
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Leonidas Kapsokalivas, Gan Xiangchao, Andreas Alexander Albrecht et al. (2008) Two Local Search Methods for Protein Folding Simulation in the HP and the MJ Lattice Models., 167-179. In Communications in Computer and Information Science, 2008, Volume 13, Part 1, Part 5.
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X Gan, L Kapsokalivas, A Skaliotis et al. (2007) An SVM Based Approach for the Analysis Of Mammography Images. , 318-321. In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference of Numerical Analysis and Applied Mathematics..
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Biographical Information
I am keen on the study of energy of landscapes for hard optimization problems. Especially in the context of local search methods, the underlying landscape influences their runtime to a great extent. As part of my PhD research, I have examined landscapes in the context of protein folding. I have contributed a novel population-based local search method to sample energy landscapes with many local minima.
CV
Professional Experience
2010 - Present
C++ Software Developer at .
London, United Kingdom
London, United Kingdom
Jan 2007 - Jan 2009
Teaching Assistant at King's College London
London, United Kingdom
Classes taught:
Data Structures in C++
Parallel and Distributed Algorithms
London, United Kingdom
Classes taught:
Data Structures in C++
Parallel and Distributed Algorithms
Mar 2006 - Sep 2006
Education
Sep 2006 - Sep 2010
Sep 2001 - Sep 2006
Computer Engineering and Informatics department, University of Patras
in Patras, Greece
BEng
BEng
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