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Dariush Kari
M.S. Student, Department of Electrical and Electronics Engineering
Bilkent University, Ankara 06800, Turkey
E-mail: kari@ee.bilkent.edu.tr

Dariush received the B.S. degree with high honor in two majors from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, July 2014. He is currently an MS student at the Department of Electrical and Electronics Engineering, Bilkent University, under the supervision of Dr. Suleyman S. Kozat. He won the full tuition waiver and Research Fellowship for his MS studies in Bilkent University, Ankara, Turkey, September 2014.

He has been graduated from the electrical engineering department of Tehran Polytechnic, with a 16.76/20 CGPA, 2013. During his undergraduate, Dariush was recognized as an exceptionally talented student and awarded to study computer science as a second major, from which he was graduated with a 17.13/20 CGPA, 2014. He was ranked the 6th in nationwide graduate schools entrance exam (Konkoor-e-karshenasi-e-arshad) in the field of "Decision Theory and Science Engineering", Iran, 2014. In high school, he was always in the first place in province-wide scientific exams. In addition, he was selected for the second round of National Mathematics and Physics Olympiads, for two consecutive years (2007, 2008) and also he was selected for the final round of computer laboratorial competition(2008), Iran.

 He has submitted 5 journal papers in highly respected Journals. He has authored several conference papers in refereed high impact conference proceedings. His research interests include machine learning, online learning, big data analytics, optimization, adaptive filtering, and statistical signal processing.

Journal Papers

  1. F. Khan, D. Kari, I. A. Karatepe, and S. S. Kozat, "Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Tree," IEEE Transactions on Big Data, 2(2):175–188, June 2016. (IEEEXplore)
        

Journal Papers Under Review

  1. D. Kari, N. D. Vanli, and S. S. Kozat, "Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication,"

  2. D. Kari, F. Khan, S. Ciftci, and S. S. Kozat, "A Novel Family of Boosted Online Regression Algorithms with Strong Theoretical Bounds," Machine Learning, Springer, 2016.  (arXiv)
        
    3.     
  3. N. D. Vanli, D. Kari, M. O. Sayin, and S. S. Kozat, "Predicting Nearly as well as The Optimal Twice Differentiable Regressor," Machine Learning, Springer, 2016. (under the fourth round of reviews)
        
  4. D. Kari, I. Marivani, F. Khan, M. O. Sayin, and S. S. Kozat, "Robust Adaptive Algorithms For Underwater Acoustic Channels Estimation and Their Performance Analysis," Digital Signal Processing, Elsevier, 2016. (under the second round of reviews)
        

Working Papers

  1. D. Kari, M. M. Neyshabouri, and S. S. Kozat, "Efficient Implementation of Online Boosting Using
    Bandit Setting". IEEE Signal Processing Letters, to be submitted, 2016.
     
  2. D. Kari, and S. S. Kozat, "Highly Efficient and Effective Hierarchical Online Regression Using Boosting", Knowledge and Information Systems, Springer, to be submitted, 2016.
     
  3. D. Kari, and S. S. Kozat, "A New Adaptive Low Complexity Turbo Equalization Algorithm Based on Adaptive Trees". IEEE Transactions on Communications, to be submitted, 2016. 

Conference Papers

  1. D. Kari, I. Marivani, I. Delibalta, and S. S. Kozat, "Boosted LMS-based Piecewise Linear Adaptive Filters," European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016. (IEEEXplore)
        
  2. B. C. Civek, D. Kari, I. Delibalta, and S. S. Kozat, "Big Data Signal Processing Using Boosted RLS Alorithm," IEEE Conference on Signal Processing and Communications Applications (SIU), Turkey, 2016. (IEEEXplore)

  3. I. Marivani, D. Kari, and S. S. Kozat, "Online Anomaly Detection with Limited Feedback Using Accurate Distribution Learning," Accepted but not presented at IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2016.  

  4. D. Kari, and S. S. Kozat, "Enhancing The Performance of Recursive Least Squares Estimation Through Online Boosting," Accepted at the IEEE 13th International Colloquium on Signal Processing & Its Applications (CSPA), 2017.  

  5. D. Kari, I. Marivani, and S. S. Kozat, "Second Order Robust Adaptive Filters for System Identification in The Presence of Impulsive Noise," Accepted at the IEEE 13th International Colloquium on Signal Processing & Its Applications (CSPA), 2017.