Sergul Aydore

School: Schaefer School of Engineering & Science
Department: Electrical and Computer Engineering
PhD 2009-2014 University of Southern California, Electrical Engineering
MS 2007-2009 Bogazici University, Electrical and Electronics Engineering
BS 2002-2007 Bogazici University, Electrical and Electronics Engineering

Optimization and Regularization for Machine Learning, Signal Processing, Neuroimaging

  • Machine Learning Scientist, Supply Chain Optimization Technologies (SCOT) forecasting team, Amazon (2016-2018)
  • Data Scientist, Corporate and Investment Banking Data Science, JP Morgan Chase (2015, 2016)
  • Postdoctoral Research Scientist at Laboratory for Intelligent Imaging and Neural Computing (LIINC), Columbia University, 2014-2015
Honors & Awards
  • AWS Machine Learning Research Awards, August, 2019.
  • ICML Diversity Inclusion fellowship, June, 2019.
  • Travel grant from Women in Science and Engineering at USC for HBM, 2014, Hamburg, Germany; Asilomar Conference, 2013, Pacific Grove, CA; BIOMAG, 2012, Paris, France; HBM, 2011, Quebec, Canada.
  • Ming Hsieh Institute Ph.D. Scholar, given to six outstanding senior Ph.D. students in Electrical Engineering Department at USC, Los Angeles,CA, 2013.
  • Best PhD poster award, BIOMAG, 2012, Paris, France.
  • National Publication Award from Brain Research Society-Turkey for the paper “S. Aydore, M. K. Mihcak, A. Akin, R. K. Ciftci, “On Temporal Connectivity of PFC via Gauss-Markov Modeling of fNIRS Signals, IEEE Transactions on Biomedical Engineering, March 2010”.
  • Opportunity Grant from EducationUSA funded by the U.S. Department of States’ Bureau of Educational and Cultural Affairs (2009).
  • Viterbi School of Engineering Doctoral Fellowship Award at University of Southern California (2009).
  • Necmi Tanyolac award from Biomedical Engineering Institute at Bogazici University (2009).
  • OSA Foundation Grant to attend Biomedical Optics, St. Petersburg, FL, USA (2008).
Selected Publications
Conference Proceedings
  1. Sergul Aydore, Tianhao Zhu, Dean Foster. (2019). "Dynamic Local Regret for Non-convex Online Forecasting", 33rd Conference on Neural Information Processing Systems (NeurIPS 2019).
  2. S. Aydore, B. Thirion, G. Varoquaux. (2019). "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data", International Conference on Machine Learning (ICML).  arxiv  .
  3. S. Aydore, L. Dicker, D. Foster. (2018). "A local Regret in Nonconvex Online Learning", Continual Learning Workshop, NeurIPS.  arxiv  .
  4. S. Aydore, S. Ashrafulla, A. A. Joshi, R. M. Leahy. (2013). "A Measure of Connectivity in the Presence of Crosstalk", Asilomar Conference on Signals, Systems and Computers.
  5. S. Aydore, D. Pantazis, R. M. Leahy. (2012). "Phase Synchrony in Multivariate Gaussian Data with Applications to Cortical Networks", ISBI 2012.
  6. S. Aydore, I. Sen, M. K. Mihcak, Y. P. Kahya. (2009). "Classification of Respiratory Signals by Linear Analysis", IEEE EMBS Conference.
  1. S. Aydore, D.Pantazis, R. M. Leahy. (2013). "A Note on the Phase Locking Value and its Properties", NeuroImage.
  2. S. Aydore, M. K. Mihcak, A. Akin, R. K. Ciftci. (2010). "On Temporal Connectivity of PFC via Gauss-Markov Modeling of fNIRS Signals", IEEE Transactions on Biomedical Engineering.