MACHINE LEARNING GROUP

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

Naghmeh Ghanooni

PhD student

Bio

Since 2019 Naghmeh Ghanooni has been a PhD candidate in the Machine Learning Group at TU Kaiserslautern under supervision of Prof. Dr. Marius Kloft. She received a master degree in computer science from TU Kaiserslautern. As a master student she worked in the Computer Vision department of German Research Centre for Artificial Intelligence (DFKI) in Kaiserslautern and did an internship at the University of Los Andes, in Bogota, Colombia. She holds two bachelor degrees in computer science, one from Baha'i Insitute for Higher Education (BIHE), in Iran, and another one from SUNY Empire State College, center of distance learning in New York, USA.

Research interests

Naghmeh Ghanooni is interested in theory and algorithms of machine learning and its applications, specially in the field of biology and medicine. She has been working on 2D object tracking, localization of region of interests (ROIs) in the brain structures in the past and currently she is working on deep extreme multi-label classification.

Appointments and scientific matters
ghanooni@cs.uni-kl.de
Office
TUK, Building 36, Room 309 - 67653 Kaiserslautern

Curriculum Vitae

Education

2019
Master in Computer Science, TU Kaiserslautern, Kaiserslautern, Germany
2014
Bachelor in Computer Science, SUNY Empire State College, New York, NY, United States
2012
Bachelor in Computer Science, Baha'i Institute of Higher Education (BIHE), Tehran, Iran

Professional Experience

since 2019
PhD candidate - Researcher, TU Kaiserslautern, Kaiserslautern, Germany

Key publications

  • Naghmeh Ghanooni, Fajar Haifani, and Marsha Kleinbauer. The graph spectra and spectral moments of random graphs. Discrete Applied Mathematics, 269:32–40, 2019.