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 Associate/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
  • “Prediction-based Bayesian Network Analysis of Gene Sets for Genome-wide Association and Expression Studies”, at CBMI/Countway Symposium, Harvard Medical School,  May 2012; talk @ https://vimeo.com/43929943
  • “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 Fedorova, Ph.D. Student
  • Supervisor: Zamart Ramazanova, Ph.D. Student
  • Co-supervisor:Venera Nurmanova, Ph.D. Student, Supervisor: Prof. Mehdi Bagheri
  • Co-supervisor: Nazerke Rakhymbayeva, Ph.D. Student, Supervisor: Prof. Anara Sandygulova
  • Co-supervisor: Beibit Abdikenov,Ph.D. Student, Supervisor: Prof. Prashant Jamwal
  • Supervisor: Rustem Semenov, M.S. Student
  • Co-supervisor: Rasul Kairgeldin, M.S. Student, Supervisor: Prof. Aresh Dadlani
  • Co-supervisor:  Aiman Makhsudova, M.S. Student, Supervisor: Prof. Mehdi Bagheri
  • 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”
  • Supervisor: Botagoz Mukatova, M.S., Research Assistant
  •           Past:
  • Supervisor: Daniyar Bakir, M.S., Thesis: “High-Dimensional Signal Processing and Statistical Learning”, Nazarbayev University, Dec 2016 (currently Data Scientist at Business Transformation Group Digital); With Daniyar, we published at Bioinformatics.
  • Co-supervisor: Bekarys Kuspan, M.S., Main Supervisor: Prof. Mehdi Bagheri, Thesis: “Daily Transformer Electric Vehicle Charging Capacity Prediction Using Recurrent Neural Network”, Nazarbayev University, Jan. 2019
  • Co-supervisor: Adilet Sultanbek, M.S., Supervisor: Prof. Mehdi Bagheri, Thesis: “Exploring Statistical Index Criteria for Transformer Frequency Response Interpretation”, Nazarbayev University, Dec 2018
  • 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); With Yerzhan, we published at 7th IEEE International Winter Conference on Brain-Computer Interface, Korea, 2019.
  • 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); With Muratkhan, we published at IEEE Signal Processing Letters.
  • 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); With Nurislam, we published at Proceedings of International Conference on Bioinformatics and Biomedicine, IEEE BIBM, Spain, 2018.
  • 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 (2010-2012): With Neena Parikh, we published at Proceedings of American Medical Informatics Association symposium, 2012. In addition, three students have been ranked top for their mentored projects. 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 for project: “Prediction-based Bayesian network analysis of gene sets for genome-wide association and expression studies”; Skanda’s talk @ https://www.youtube.com/watch?v=vGU17rwOeG8

Teaching Experience:

  •           Nazarbayev University, Astana, Kazakhstan
  • Intro to Big Data, 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
  • Intro to Big Data, Fall 2018
  • Programming for Engineers, Fall 2018
  • Pattern Recognition (M.S. Course), Spring 2018
  • Big Data and Information Management (M.S. Course), Fall 2017
  • Statistical Signal Processing (M.S. Course), Fall 2017
  • Special Topics in Signal Processing, Spring 2017
  • Software Engineering, Spring 2017
  • Programming for Engineers, Fall 2016
  • 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).

Software for Public Use

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), Atlanta 2014, USA, 
  • Program Committee Member of IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Houston 2013, USA
  • Chair of curriculum committee development for the Electrical and Computer Engineering Department at Nazarbayev University (Dec 2016 – Sep 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