Masoud Abedi

Research Associate in Thünen Institute of Baltic Sea Fisheries

University of Rostock
Institute of Computer Science
R 258, Albert-Einstein Street 22,

18059 Rostock
Germany
E-Mail: masoud.abedi "at" uni-rostock.de and masoud.abedi "at" thuenen.de

Research Interests

  • Machine Learning
  • Data Mining
  • Optimization Algorithms (Multi-Objective, Query, Multi-Objective Query)
  • Compression Algorithms

Fields of Activity

  • Progressing and improving current database systems, quality assurance and data handling of the commercial fisheries sampling program (DCF)
  • Developing and progressing applications for the scientific data upload mechanisms and data handling
  • Development and implementation of data mining methods for analyzing research data and making predictions of marine environmental variables
  • Programmer in C, C++, C#, Python, Matlab, FORTRAN, and Java

Publications

  • Abedi M, Pourkiani M (2020) AIMCS: An Artificial Intelligence based Method for Compression of Short String. In: IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI 2020), January 23-25, 2020 in Herl'any, Slovakia.
  • Shekarchizadeh N, Abedi M (2019) Determining the constitutive parameters of a macroscale second-gradient model for planar pantographic structures by using optimization algorithms. In: Gleim T, Lange S (eds) 8th GACM Colloquium on Computational Mechanics for young scientists from academia and industry : 28-30 August 2019 in Kassel, Germany. pp 31-34
    PDF Dokument (nicht barrierefrei) 3779 KB
  • Pourkiani M, Abedi M (2019) An introduction to a dynamic data size reduction approach in fog servers. In: 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, pp 261-265, DOI:10.1109/ICOIACT46704.2019.8938494
  • Pourkiani M, Abedi M, Tahavori MA (2019) Improving the quality of service in WBSN based healthcare applications by using fog computing. In: 2019 International Conference on Information and Communications Technology (ICOIACT). IEEE, pp 266-270, DOI:10.1109/ICOIACT46704.2019.8938448
  •  M. Abedi, A. Malekpour, P. Luksch, M. R. Mojtabaei, A Method for Compression of Short Unicode Strings, 3rd International Conference on Computer Science Networks and Information Technology on 26th - 27th August 2017, Held at University De Québec, Montreal, Canada ISBN: 9780998900032
  •  M. Abedi, N. Ghasem-Aghaee, Presenting a method for Dynamic threshold value in Fuzzy-Based Pareto Optimality NSGA-II, the International conference in new research of Electrical Engineering & Computer Science, Tehran University, Iran, August 2015

Scientific Background

  • since Apr 2018: PhD student, University of Rostock, Rostock, Germany
  • Jan 2013- Dec 2015: Senior programmer at Rayan Tahlil Sepahan Co., Isfahan Science & Technology Town, Isfahan, Iran. Programing in C++, C#, and Matlab.
  • Sep 2013- Sep 2015: M.Sc. in Computer Engineering - Software, Sheikhbahaee University, Isfahan, Iran
  • M.Sc. Thesis: Dynamic tuning of threshold selection in Fuzzy-based Pareto in NSGA-II
  • Jan 2010- Oct 2012: B.Sc. in Computer Software Technology Engineering, IAU Isfahan (Khorasgan Branch), Isfahan, Iran
  • Jan 2007- Oct 2009: A.D. in Computer- Software, IAU Khomeinishahr (Isfahan), Isfahan, Iran