Cinque Terre

Tony/Muhammad Yousefnezhad

Curriculum Vitae
Last update: July/2022

[Publication] [PDF]

Contact Information

Address:

CSC-243, Department of Computing Science

University of Alberta

Edmonton

Alberta, Canada T6G 2E8

Research Interest

Multi-view Learning, Representation Learning, Big Data, Deep Learning, Probabilistic and Bayesian Models, Neuroimage and Health Records Analysis, Bioinformatics

Education

Doctor of Philosophy degree (Sep/2014-Jun/2018)

Topic: Computer Science - Artificial Intelligence
University: Nanjing University of Aeronautics and Astronautics, China
Thesis Title: Functional Alignment and Feature Learning with Neuroimaging Data [PDF] [Slides]
Supervisor: Prof. D. Zhang (dqzhang@nuaa.edu.cn)
GPA: 87/100 (Thesis Score: 90.8/100)

Master's degree (Feb/2011-Sep/2013)

Topic: Information Technology - Artificial Intelligence
University: Mazandaran University of Science and Technology, Iran
Thesis Title: Cluster ensemble selection based on the wisdom of crowds
Supervisor: Dr. B. Minaei-Bidgoli (b_minaei@iust.ac.ir)
Advisor: Dr. H. Alizadeh (halizadeh@iust.ac.ir)
GPA: 19.37/20 (Thesis Score: 19.5/20)

Bachelor's degree (Sep/2008-Aug/2010)

Topic: Computer Science - Hardware Engineering
University: Mazandaran University of Science and Technology, Iran
Thesis Title: Smart Identifier
Supervisor: Dr. M. Baboli (mehdi.baboli@fkegraduate.utm.my)
GPA: 18.52/20 (Thesis Score: 20/20)

Associate Degree (Sep/2004-Oct/2006)

Topic: Computer Science - Hardware Engineering
University: Islamic Azad University Eghlid branch, Iran
Thesis Title: Digital Persian calendar based on AVR microcontroller
Supervisor: Dr. A. Bohlooli (bohlooli@eng.ui.ac.ir)
GPA: 17.52/20 (Thesis Score: 20/20)

Job Experiences

  • Apr/2019 – Present, Postdoc fellow under the supervision of Prof. Andrew Greenshaw and Prof. Russell Greiner at University of Alberta, Canada (full-time job).
  • Jul/2018 – Mar/2019, Postdoc fellow under the supervision of Prof. Daoqiang Zhang at Nanjing University of Aeronautics and Astronautics, China (full-time job).
  • Sep/2014 – Jun/2018, A Research Assistant under the supervision of Prof. Daoqiang Zhang at Nanjing University of Aeronautics and Astronautics (part of my Ph.D. degree).
  • Aug/2013 – Aug/2014, Computer engineer at Rasa Ertebatat Soffe Co. (full-time job)
  • Feb/2009 – Jul/2013, Computer engineer at Rasa Ertebatat Soffe Co. (part-time job)
  • Nov/2006 – Aug/2008, Computer engineer at Reza Noor Ltd. (full-time job)

Teaching Experiences

  • Sep/2021 - Apr/2022, Lecturer (in cooperation with Prof. Andrew Greenshaw), University of Alberta, Research Project in Neuroscience, NEURO 498/499: Machine Learning Applications for Functional Neuroimage Analyze, Student: Bryan Holl (undergrade student).
  • Sep/2021 - Dec/2021, Lecturer (in cooperation with Prof. Russ Greiner), University of Alberta, Individual Study, CMPUT 605: Using Machine Learning to Analyze fMRI data, Student: Mohsen Soltanpour (Ph.D. student).
  • Feb/2021 - Aug/2021, Lecturer (in cooperation with Prof. Russ Greiner), University of Alberta, Individual Study, CMPUT 605: Using Machine Learning to Analyze fMRI data, Student: Bahareh Behroozi Asl (M.Sc. student).
  • Sep/2020 - Dec/2020, Lecturer (in cooperation with Prof. Russ Greiner), University of Alberta, Individual Study, CMPUT 605: Using Machine Learning to Analyze fMRI data, Student: Jeff Sawalha (Ph.D. student).
  • Feb/2015 - Sep/2015, Teacher Assistant, Nanjing University of Aeronautics and Astronautics, Data Mining under the supervision of Prof. Daoqiang Zhang.
  • Feb/2010 – Jul/2014, Lecturer (part-time job), Mazandaran University of Science and Technology, Courses: Data Mining, Expert System, Machine Learning, Computer Networks & Lab., Network Operating System & Lab., Microprocessor & Lab., FPGA & Lab., VHDL & Verilog.
  • Feb/2009 – Jul/2011, Teacher Assistant, Mazandaran University of Science and Technology, Assembly programming under the supervision of Dr. Saber Nourian.
  • Sep/2005 – Jul/2006, Teacher Assistant, Islamic Azad University Eghlid branch, Microprocessor, FPGA, VHDL, and Verilog. under the supervision of Dr. Ali Bohlooli.
  • Sep/2004 – Jul/2005, Teacher Assistant, Islamic Azad University Eghlid branch, Digital Electronic and Computer Architecture under the supervision of Dr. Nader Karimi.

Honors

Academic Services

Guest Editorial

Conference Reviewer

  • 2018–2022, Conference on Neural Information Processing Systems (NeurIPS)
  • 2018–2019, International Conference on Machine Learning (ICML)
  • 2018–2021, Association for the Advancement of Artificial Intelligence (AAAI)
  • 2017–2019, International Conference on AI and Statistics (AISTATS)
  • 2017–2018, International Joint Conferences on Artificial Intelligence (IJCAI)
  • 2015–2016, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Journal Reviewer

  • Psychological Bulletin
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Sy
  • IEEE Transactions on Cognitive and Developmental Systems
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Applied Perception
  • ACM Transactions on Autonomous and Adaptive Systems
  • Pattern Recognition
  • Cognitive Computation
  • Neuroinformatics
  • Springer Multimedia Systems
  • BMC Public Health
  • International Journal of Information Technology & Decision Making
  • Science China–Information Sciences

Talks

  • Mar/2022, Reading Minds: A Neuroscience Application of Machine Learning, Keynote, NatChat, University of Alberta.
  • Jan/2022, Machine Learning Applications in NeuroInformatics, Keynote (in cooperation with Prof. Russ Greiner), Neuroscience and Mental Health Institute (NMHI), University of Alberta.
  • Aug/2021, Shared Space Transfer Learning for analyzing multi-site fMRI data, AI Seminar, University of Alberta [Video].
  • May/2019, Human Brain Mapping and Decoding, AI Seminar, University of Alberta [Info].
  • Jul/2018, Analyzing Human Brain Patterns by using deep approaches, Keynote, 1st Machine Learning, Optimization and Control (MLOC'18), Shenzhen, China. [Slides]
  • Nov/2017, Deep Hyperalignment, Spotlight, 15th Workshop in Machine Learning and Application (MLA'17), Beijing Jiaotong University, China. [Slides] [Poster]
  • Nov/2015, Adaptive Weighted Spectral Clustering, Keynote, 3rd International Conference of Postgraduates, Nanjing University of Aeronautics and Astronautics, China. [Slides]
  • Dec/2014, Wisdom of Crowds Cluster Ensemble Selection, Keynote, 2nd International Conference of Postgraduates, Nanjing University of Aeronautics and Astronautics, China. [Slides]
  • Jun/2011, Network Security, Keynote, 1st Annual Conference, Mazandaran University of Science and Technology, Iran.

Projects

  • Machine Learning Related Projects
    • Founder of Easy fMRI (a toolbox for human brain mapping and decoding)
    • Founder of Easy Data (a repository for sharing preprocessed task-based fMRI datasets)
    • Founder of easyX (a python library for storing big, complex data structures)
    • Suicide prediction based on Chongqing, China dataset: A health record project
    • Diagnosing of the stork in mouse brains based on Calcium images
    • Predicting cognitive tasks in mouse brains by using EEG
    • Designing Expert System for forecasting production rate in Reza Noor Ltd.
    • Designing cheat detection for finance system in Reza Noor Ltd.
    • Designing and implementing Smart Identifier (a general smart key with multiple applications).
  • Computing Engineering Related Projects
    • Designing and implementing Data Center for Sari municipality (Rasa Ertebatat Soffe Co.)
    • Designing and implementing network in Reza Noor Ltd.
    • Designing FPGA, USB and PCI learning kit (for MUST University).
    • Designing Emergency lights, LED halogen lights, fluorescent blast for Reza Noor Ltd.
    • Designing ICT-Master plan for Mazandaran University of Science & Technology
    • Analysis and implementation of software for network management at Reza Noor Ltd.

Skills

Neuroscience: AFNI, FSL, SPM, FreeSurfer, Group ICA, NIfTI.

Machine Learning Library: Scikit-learn, Tensorflow (+Probability, GPflux), JAX, PyTorch, PyWhy, Z3 API, Stable-Baselines3.

Programming Languages: Python, Javascript, Bash, C, C++, Matlab, R.

Database: Oracle Database, Microsoft SQL, Postgre-SQL, My-SQL, MS Access.

OS: Linux (Arch, Fedora, and Debian), OSX, Windows, Solaris.

Network: Cisco IOS, Cisco Unified Communication, Microsoft ISA and Exchange.

Hardware: Cisco routers and switches, Siemens IP-PBX, Avaya IP-PBX, Asus and HP servers and networks.