Amin Zollanvari

School of Engineering and Digital Sciences, Electrical and Computer Engineering
Assistant Professor
+7-(7172) 709353

Dr. Zollanvari’s group at NU is working on developing novel machine learning and signal processing methods with a wide range of applications: (1) Bioinformatics; (2) Power Systems; and (3) Neuroscience. 

News: Our project titled: “High-dimensional Data Analytics for Genome-wide Association Studies” is funded  by NU for three years starting February 2018. As such, there are multiple openings for motivated researchers, and prospective Ph.D./M.S. students to work at Dr. Zollanvari’s group. If you are a motivated researcher/student with a strong background in programming and math and ready to explore innovative applications of big data analytics in bioinformatics, please send your C.V. to by January 31st, 2018.

Research Interest:

  • Pattern Recognition
  • Machine Learning
  • Statistical Signal Processing
  • Bioinformatics


  • Ph.D. in Electrical Engineering, Texas A&M University, College Station, TX, 2006-2010.
  • M.S. in Electrical Engineering, Shiraz University, Iran, 2003-2006.
  • B.S. in Electrical Engineering, Shiraz University, Iran, 1999-2003.


  • Assistant Professor, Nazarbayev University (Electrical and Computer Engineering Department), 2015-present
  • Assistant Professor, Istanbul Kemerburgaz University (Electrical and Electronic Engineering Department), 2014-2015.
  • Assistant Research Scientist, Texas A&M University (Department of Statistics), 2012-2014.
  • Research Fellow: Harvard Medical School (Center of Biomedical Informatics)/Brigham and Women’s Hospital (Channing Laboratory), 2010-2012.
  • Graduate Research Assistant, Texas A&M University (Electrical and Computer Engineering Department), 2007-2010.


  • Introduction to Big Data Analytics, Fall 2018
  • Programming for Engineers, Fall 2018
  • Pattern Recognition (M.S. Course), Spring 2018
  • Statistical Signal Processing (M.S. Course), Fall 2017
  • Special Topics in Signal Processing, Spring 2017
  • Software Engineering, Spring 2017
  • Digital Signal and Image Processing, Fall 2016
  • Simulations and Modeling (M.S. Course), Spring 2016
  • Programming for Engineers, Spring 2016
  • Artificial Intelligence in Medicine (Ph.D. Course), Fall 2015
  • Programming for Engineers, Fall 2015