Amin Zollanvari

Department
School of Engineering and Digital Sciences, Electrical and Computer Engineering
Title
Assistant Professor, IEEE Senior Member
Office
3e542
Email
amin.zollanvari@nu.edu.kz
Phone
+7-(7172) 709353

Dr. Zollanvari’s group at NU is working on developing fundamental and practical machine learning/signal processing methods with a wide range of applications such as bioinformatics, brain-computer interface, and power system analysis. 

Google Scholar

Research Interest:

  • Pattern Recognition
  • Machine Learning
  • Statistical Signal Processing
  • Biomedical Informatics

Education:

  • 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.

Positions:

  • 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.

Research Support:

  • Role PI: Faculty Development Grant, Funded by Nazarbayev University, Kazakhstan, April 2018-Dec 2020
  • Role co-PI: Faculty Development Grant, Prof. Mehdi Bagheri (PI), Funded by Nazarbayev University, Kazakhstan, April 2018-Dec 2020
  • Role PI: Social Policy Grant, Funded by Nazarbayev University, Kazakhstan, Feb 2015-Feb 2016
  • Role co-PI: Collaborative Research Program, Prof. Daniele Tosi (PI), Accepted for Funding by Nazarbayev University, Kazakhstan, to begin Jan 2020-Dec 2022
  • Role co-PI: Collaborative Research Program, Prof. Zhenisbek Assylbekov (PI), Accepted for Funding by Nazarbayev University, Kazakhstan, to begin Jan 2020-Dec 2022
  • Role co-PI: Faculty Development Grant, Prof. Aresh Dadlani (PI), Accepted for Funding by Nazarbayev University, Kazakhstan, to begin Jan 2020-Dec 2022

Invited talks:

  • “Large-dimensional Random Matrix Theory in Pattern Classification”, Department of Mathematics, Nazarbayev University, April 2019.
  • “Classification of Serially Dependent Observations”, NU-KAIST Workshop on Artificial Intelligence, Signals, and Systems, Nazarbayev University, Nov. 2018.
  • “An Analytical Perspective on Challenges and Future Trends in Genomic Data Analytics”, Personalized Medicine and Global Health Conference, Nazarbayev University, Sep 2017
  • “Tackling High-dimensionality of Data in Genomics”, Biomedical Engineering Club, Nazarbayev University, Nov 2016
  • “Classification of Stochastic Observations”, Center of Nonlinear Studies, Los Alamos National  Lab, New Mexico, June 2014
  • “High-dimensional/Small-sample Statistical Learning”, Department of Statistics, Texas A&M, University, May 2014
  • “Increasing Dimension Asymptotics in Pattern Recognition and Signal Processing”, Department of Electrical and Computer Engineering, TAMU, Feb 2014
  • “Analytical Study of Performance of Linear Discriminant Analysis for Non-i.i.d. Data”, Department of Electrical and Computer Engineering, TAMU, Jan 2013
  • “Determining Functional Categories”, at CBMI Annual Symposium, Harvard Medical School,  May 2012
  • “Genetic Dissection of Nicotine Dependence”, at MIT Endicott, Dec 2011
  • “Predictive and Integrative Bayesian Analysis of Complex Traits and Behaviors”, McLean Hospital, Nov 2011

Mentorship

  •          Current:
  • Supervisor: Saied Akhavan Bitaghsir, Postdoc 
  • Supervisor: Irina Federova, Ph.D. Student
  • Supervisor: Zamart Ramazanova, Ph.D. Student
  • Adviser: Nazerke Rakhymbayeva, Ph.D. Student, Main Supervisor: Prof. Anara Sandygulova
  • Adviser: Beibit Abdikenov,Ph.D. Student, Main Supervisor: Prof. Prashant Jamwal
  • Supervisor: Rustem Semenov, M.S. Student, Thesis: “Self-training Discriminant Analysis”
  • Supervisor: Aigerim Borasheva, M.S. Student, Thesis: “Development of Advanced Algorithms for Applicability of Statistical Indices in Detecting Industrial Machines Failure”
  • Adviser: Rasul Kairgeldin, M.S. Student, Main Supervisor: Prof. Aresh Dadlani
  • Supervisor on Capstone Project at ECE Department, Kassymzhomart Kunanbayeva, Title: “Design of Robust Brain-Computer Interfaces: A Signal Processing and Machine Learning Based Framework”
  • Supervisor on Capstone Project at ECE Department, Dias Azhigulov and Kuat Madeniyet, Title: “Histopathological Classification of Cancer via Deep Learning”
  • Supervisor on Capstone Project at ECE Department, Margulen Yermek, Title: “High-dimensional Deep Learning”
  •           Past:
  • Adviser: Bekarys Kuspan, M.S. Student, Main Supervisor: Prof. Mehdi Bagheri, Thesis: “Daily Transformer Electric Vehicle Charging Capacity Prediction Using Recurrent Neural Network”, Nazarbayev University, Jan. 2019.
  • Supervisor: Daniyar Bakir, M.S. Student, Thesis: “High-Dimensional Signal Processing and Statistical Learning”, Nazarbayev University, Feb 2017 (currently Data Scientist at Business Transformation Group Digital)
  • Supervisor on Capstone Project at ECE Department: Yerzhan Orazayev, Title: “Applications of Random Matrix Theory in Regression”, Nazarbayev University, Aug 2018 – Apr 2019 (currently pursuing M.S. at KAUST)
  • Supervisor on Capstone Project at ECE Department: Muratkhan Abdirash, Title: “Asymptotically Bias Corrected Regularized Linear and Quadratic Discriminant Analysis”, Nazarbayev University, Aug 2018 – Apr 2019 (currently pursuing Ph.D. at UCLA)
  • Supervisor on Senior Thesis at Biology Department: Roman Kogay, Title: “Genetic-Environmental Dissection of Schizophrenia”, Aug 2017 – Dec 2017 (currently pursuing Ph.D. at Dartmouth College)
  • Supervisor on Capstone Project at ECE Department: Nurislam Tursynbek, Title: “Dictionary Learning”, Nazarbayev University, Aug 2017 – Aug 2018 (currently pursuing Ph.D. at Skoltech)
  • Supervisor on Capstone Project at ECE Department: Artyom Kozulin, Title: “Text Annotation in Augmented Reality Glasses”, Nazarbayev University, Aug 2017 – Aug 2018
  • Supervisor on Capstone Project at ECE Department: Arman Kapan, Kaisar Kussinov, Daniyar Bekishev, Title: “Electronic Nose for Detecting Spoiled Food Product”, Aug 2015-Apr 2016.
  • Supervisor on Capstone Project at ECE Department: Madiyar Turar, Malik Bekmurat, Temirlan Zharkynbek, Title: Structural Health Monitoring and Hazard Risk Assessmet Through Wireless Sensor Network, Aug 2016-Apr 2017.
  • Several high school and MIT undergraduate students. Three students have been ranked top for their mentored projects (2010-2012). James Thomas became CSSF and Intel STS Semifinalist for project: “A Predictive Bayesian Network Model of Alcohol Dependence Based on Genetic and Demographic Factors”. Michelle Deng became Intel STS and Siemens STEM competition Semifinalist for project: “An Ontological Bayesian Framework for Context-Specific Navigation and Discovery of Biomedical Knowledge”. Skanda Koppula became Phillips Academy’s Merit semifinalist.

Teaching Experience:

  •           Nazarbayev University, Astana, Kazakhstan
  • Introduction to Big Data Analytics, Fall 2019
  • Programming for Engineers, Fall 2019
  • Pattern Recognition and Machine Learning (M.S. Course), Spring 2019
  • Research Methods and Ethics (M.S. Course), Spring 2019
  • 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
  •           Istanbul Kemerburgaz University, Istanbul, Turkey
  • Introduction to Electrical Engineering, Spring 2015
  • Digital Signal Processing, Spring 2015
  • Signals and Systems, Fall 2014
  • Computer Programming, Fall 2014
  •            Massachusetts Institute of Technology, Cambridge, MA
  • Guest Lecturer in MIT 6.872/HST.950, Biomedical Computing (Oct 2011).

Professional Services

  • Program Committee Member of International Workshop on Applications of Machine Learning and Signal Processing in Biomedical Informatics and Computational Genomics, Madrid, Spain, Dec 2018, https://bcg2018.med.umich.edu/
  • Associate Editor, IEEE Access, Feb 2017- present
  • Lead Guest Editor for Cancer Informatics, special issue on “Signal Processing Applications in Genomics”
  • Program Chair of CASEV 2015 Conference, Astana, Kazakhstan http://bioinfo/casev2015/
  • Program Committee Member of IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) 2012, 2013, http://www.gensips2013.org/
  • Chair of curriculum committee development for the Electrical and Computer Engineering Department at Nazarbayev University (Nov 2016 – Nov 2017)
  • Member of “Interdisciplinary Research Team” at the School of Engineering at Nazarbayev University (Apr 2017 – Nov 2017)
  • Reviewer for Peer Reviewed Journals:
    • BMC Bioinformatics
    • Pattern Recognition
    • Pattern Recognition Letters
    • IEEE Transactions on Information Theory
    • IEEE Transactions on Signal Processing
    • IEEE Signal Processing Letters
    • IEEE Transactions on Biomedical Engineering
    • IEEE Transactions on Biomedical Circuits and Systems
    • IEEE Access
    • IEEE Sensors
    • Signal Processing
    • Journal of Biological Systems
    • IEEE Signal Processing Letters
    • Iranian Journal of Science and Technology, Transactions of Electrical Engineering
    • IEICE Transactions on Communications
    • International Journal on Knowledge Based Systems
    • PLoS One