Welcome to Amir R. Peimani's Website

Bridging the gap between AI & Neuroscience for groundbreaking research.

Amir R. Peimani

I am a PhD Candidate in Biomed Eng & Neuroscience at the University of Toronto.

Previously, I was a Mitacs Accelerate Fellow Intern at Neureka.ai from 2020 to 2022. I was also a TA for Deep Learning & Neural Networks course by Jimmy Ba at Uni. of Toronto in 2022 & 2023.

I have a broad set of interests, but recently I have been working on:

  • Connectivity Analysis & Information Flow
  • Coherence & Synchronization & Wavelet Analysis
  • Neural Networks & Deep Learning
  • Graph Neural Networks & Recurrent Neural Networks
  • Few-Shot Learning & Transfer Learning
  • [most recently] Reinforcement Learning & Gen AI

Besides research, I enjoy learning French🇫🇷 & Spanish🇪🇸, reading about evolutionary biology🧬 & music theory🎼, exploring finance🏦, working out🏋️‍♂️, & playing soccer⚽.

Also, I served as the President of BESA in 2019 & the Vice-President of ISC in 2019-20. And I received a Certificate in Business Fundamentals from GMCA.

Download My Resume, Updated in August 2023

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amir.peimani@mail.utoronto.ca
University of Toronto, University Health Network, Toronto, Canada 🇨🇦
7KD-404, Krembil Research Institute, 60 Leonard Ave, M5T0S8

GitHub  /  Twitter  /  Google Scholar  /  Medium  /  LinkedIn

Education

University of Toronto, Toronto, CA

Ph.D. in Biomedical Engineering & Neuroscience

GPA: A (18 credits)

Sep 2018 - May 2024

York University, Toronto, CA

M.A.Sc. in Mechanical Engineering

GPA: A (15 credits)

Sep 2015 - Dec 2017

Isfahan University of Technology, Isfahan, Iran

B.A.Sc. in Mechanical Engineering

GPA: 16.8/20 (143 credits)

Sep 2011 - July 2015

Latest News

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Sep 4, 2023

I will be in Prince Edward Island for the 2023 CLAE Annual Scientific Meeting taking place on October 13-15, 2023, as a speaker at the session on Brainstem Seizures: Out of Sight, Out of Mind. My talk is titled at Interactions of Kindled Cerebral and Brainstem Seizures: AI Analyses and I will talk about how AI can be applied to the Epilepsy research. If you're in the vicinity, I would love to connect and collaborate. Hit me up.

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August 27, 2023

I published my first Medium article, titled at "The Hidden Bias in AI’s ‘Productivity’ & ‘Qualification’ Metrics: Why We Need to Broaden Our Horizons". It is based on my 8+ years of post-undergrad experience in the fields of engineering, computer science, artificial intelligence, and neuroscience. I decided to talk about this Hidden Bias, which actually is not hidden, rather it is Not UN-hidden, in a sense. It is a 10 mins read, so please let me know what you think of it, and whether you have experienced the same or not.

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August 2, 2023

I just launched my personal website. Make sure to check it out regularly.

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August 1, 2023

I am taking part in Great Cycle Challenge to support Kid's Cancer Fighters. Every 2 mins, a child is diagnosed with cancer, the largest killer of children from disease in Canada! Please support my 500km challenge by making a donation.

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March 7, 2023

I was featured on the Krembil Research Institue Social Media. Grateful to be part of a great community and institute.

Publications

Journals

Conferences

Workshops

Teaching

Graduate Teaching Assistant, University of Toronto, Toronto, 2018-2024

  • CSC2516: Deep Learning & Neural Networks [W22 & W23]
  • BME1510: Data Science for Bioengineers [W23]
  • ECE448: Biocomputation [W21 & W22 & W23]
  • BME1478: Coding for Bioengineers [F20 & F21 & F22]
  • CSCA08: Intro to Computer Science I [F22]
  • CSC236: Theory of Computation [F22]
  • CSC111: Foundations of Computer Science II [W22]
  • CSC108: Introduction to Python [W19 & F19 & W20 & F20 & W21 & F21]
  • MIE334: Numerical Methods [W21]
  • MIE1628: Big Data Science [F19 & S20]
  • MAT185: Linear Algebra II [W19]
  • Microteaching II: Effective Lesson Planning and Delivery [F18]

Teaching Assistant part-time, Northeastern University, Toronto, 2022-2024

  • ALY6020: Predictive Analytics [S23]
  • ALY6130: Risk Management Analytics [S23 & W23]
  • ALY6110: Data Management & Big Data [F22 & S23]
  • ITC6000: Database Management Systems [F22]

Teaching Assistant, University of Waterloo, 2018

  • MATH118: Calculus II [S18]

Teaching Assistant, York University, Toronto, 2015-2018

  • MECH3401: Mini Design Project II [W18]
  • MECH3409: Machine Element Design [W18 & W16]
  • MECH4502: Vibrations and Actuators [F17]
  • MECH2112: Mech. Eng. Professionalism and Society [F17]
  • ENG1101: Renaissance Engineer I [F17]
  • MECH2302: Dynamics [W17 & W16]
  • MECH2301: Mechanics of Material [F16]
  • MECH2401: Eng. Graphics & CAD Modeling (Solidworks) [F16 & F15]
  • ENG1102: Renaissance Engineer II [W16]

Teaching Assistant, Isfahan University of Technology, Isfahan, 2015

  • MECH15437: Automatic Control [W15]
  • MECH15225: Strength of Materials II [W15]

Awards

ORT Conference Participation Award, University Health Network, Toronto, 2023

Doctoral Completion Award (DCA), Uni. of Toronto, Toronto, 2022

Wildcat Graduate Scholarship, Uni. of Toronto, Toronto, 2020

Mitacs Accelerate Fellowship, MITACS & Neureka.ai, 2020-2022

Loo Geok Eng Found Grad Scholarship, Uni. of Toronto, Toronto, 2019

International Doctoral Student Award (IDSA), Uni. of Waterloo, Waterloo, 2018

Annual Student Appreciation Festival Rank 1st Award, Isfahan Uni. of Tech., Isfahan, 2012

Last Updated: September 04, 2023