Dr. Mehmet Suzen

Publications - selected -

• Compressive transition path sampling: How to simulate rare event for longer time scales?
  Manuscript: arXiv:1804.09781
  
  
• Spectral ergodicity could explain deep learning.
  Manuscript: arXiv:1704.08303
  Software:
  • Python Package Bristol Parallel Random Matrix Tools
  Talks :
  • Spectral ergodicity for explainable deep learning:A simulation approach
  • Spectral Ergodicity in Deep Learning Architectures
• Effective ergodicity in single-spin-flip dynamics
  Phys. Rev. E 90, 032141 (2014) DOI: 10.1103/PhysRevE.90.032141
  Mehmet Suezen
  

Thesis

• Induced Charge Computation, PhD Dissertation, FIAS, Goethe University, Frankfurt/Main
• Chaotic behaviour of geodesics, MSc Thesis in Theoretical Physics, Cyprus

Selected Blog Posts

• Research as a core driver in AI and Data Science (January 2019)
• Understanding overfitting: an inaccurate meme in supervised learning (August 2017)
• Practical Kullback-Leibler (KL) Divergence: Discrete Case (January 2017)
• Economy and dynamic modelling: Haavelmo's approach (July 2016)
• S-shaped data: Smoothing with quasibinomial distribution (January 2016)
• Testing emergent gravity: Gravitational Lensing to atom interferometer (January 2017)
• Understanding the empirical law of large numbers and the gambler's fallacy (August 2016)

Supervisions and mentoring service to community

• Mentor Data Scientists, Machine learning and data mining projects.
  Warwick/Cologne Industry, 2015-16, 2018-2019.
• Mentor postdoc colleagues on Compressed Sensing algorithms.
  Barcelona (ICFO), 2009-2010.
• Onboard and provide initial guidance for Marcello Sega, Sofia Kantorovich on
  induced charge computation algorithms and
  ensemble equivalence in single molecule stretching.
  Frankfurt am Main (FIAS) 2006-2009.
• Supervise Computer Science undergraduate projects.
  Network anomaly detection.
  Cyprus, 2005.

(c) 2016, 2017, 2018, 2019 by Mehmet Suezen
suzen at acm dot org
All rights reserved
Do not copy or distribute without prior permission.