KAYVAN TIRDAD

ENG-207, 350 Victoria Street, Toronto , Ontario M5B 2K3 Canada· my-lastname -at- ryerson.ca

Skilled research engineer, Ph.D. candidate in Computer Science, passionate about cutting-edge technology and solving real-world problems.

Education

PhD student, Ryerson University (Transfer from York University)
Toronto, Canada

Computer Science Department: GPA: 4.11/4.33
Thesis Topic: Machine learning usage in detection and diagnosis of human brain disorders
Supervisor: Dr. Alireza Sadeghian
2017 - on going

PhD student York University
Toronto, Canada

Computer Science Department: GPA: 4.11/4.33
Reason: Unfinished as result of sudden loss of supervisor (Dr. Nick Cercone)
Supervisor: Dr. Nick Cercone
2012 - Unfinished

Master of Science, Ryerson University
Toronto, Canada

Computer Science Department: GPA: 4.33/4.33
Thesis Topic: Developing Random Number Generators based on Spiking Neural Networks
Supervisor: Dr. Alireza Sadeghian
2008 - 2010

Master of Engineering, Amirkabir University of Technology - Tehran Polytechnic University
Toronto, Canada

Computer Engineering Department
Thesis Topic: Speaker Recognition in Web Based Application based on Hidden Markov Model
Supervisor: Dr. Mohammad Mehdi Homayounpour
2003 - 2006

Bachelor of Engineering, Azad University
Tehran, Iran

Computer Engineering Department (Software Engineering Branch)
Thesis Topic: Farsi Handwriting Recognition with Neural Network and Structural Patterns
Supervisor: Dr. Albert Pourbenyamin
1997 - 2002

Publication

 M. Karimi, H. Tahayori, K. Tirdad, A. Sadeghian "A Perceptual Computer for Hierarchical Portfolio Selection Based on Interval Type-2 Fuzzy Sets" Submitted to Granular Computing Journal, 2022

 A. Jahangiri, K. Tirdad, A. Dela Cruze, A. Sadeghian "Application of Machine Learning to Forecast Hypertension Signals in Intracranial Pressure", submitted to The Systems, Man, and Cybernetics Society Journal, 2022

 K. Tirdad, A. Dela Cruze, A. Sadeghian, M. Cusimano “A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports”, Brain Informatics Journal, Vol. 8, Issue. 1, pp.1-17, 2021

 K. Tirdad, A. Dela Cruze, C. Austin, Sh. Mousavian, A. Sadeghian, M. Cusimano “Machine learning-based approach to analyze saccadic eye movement in patients with mild traumatic brain injury”, Computer Methods and Programs in Biomedicine Update journal, Vol. 1, pp. 100026, 2021

 K. Wagner, K. Tirdad, A. Sadeghian, A.R. Zlotta “A Semi-Supervised Learning Approach for Bladder Cancer Diagnosis”, submitted to the Journal of Information Sciences – Under Review

N. Petrick, K. Tirdad et al. “SPIE-AAPM-NCI BreastPathQ Challenge: An image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment”, Journal of Medical Imaging, Vol. 8, Issue. 3, pp. 034501, May 2021

 A. Saha, A. Sadeghian, W. Ting, A. Dela Cruz, K. Tirdad, S. Zhang, M. D. Cusimano “Convolutional Neural Network (CNN)-based Representation of Diffusion Tensor Imaging (DTI) to Classify Concussion Patients”, Canadian Institute for Military Health Research Conf, CIMVHR19, Ottawa, Canada

M. Kargar, A. An, N. Cercone, K. Tirdad, M. Zihayat “Signal detection in genome sequences using complexity based features” 12th International Workshop on Data Mining in Bioinformatics, KDD13, Chicago, US, August 2013

K. Tirdad, A. Sadeghian, “Hopfield neural networks as pseudo random number generators”, Fuzzy Information Processing Society (NAFIPS), Aug 2010

K. Tirdad, F. Pakzad and A. Abhari, “Cache Replacement Solutions by Evolutionary Computing Technique”, Spring Simulation Multiconference (SpringSim'09), San Diego, US, May 2009

Abstracts and Posters

K. Tirdad, A. Dela Cruz and A. Sadeghian “Cancer Cellularity Score Prediction In Breast Cancer Pathology Patches Based on Deep Learning and Convolutional Neural Networks”, The international Society for optics and photonics, Medical Imaging, Feb 2019

K. Tirdad, A. Dela Cruz, H. Rahnama and A. Sadeghian “ Deep Learning Based Cancer Classification of Pathology Slides using Cancer Cellularity Score of Pathology Patches” Northeast Regional Conference on Complex Systems, NERCCS2019

Sh. Ghaffaripour, K. Tirdad, A. Dela Cruz, H. Rahnama and A. Sadeghian“A Data-Driven Neuro-Wavelet Approach to Electric Arc Furnace Modeling” Northeast Regional Conference on Complex Systems, NERCCS2019

K. Tirdad, A. Dela Cruz and A. Sadeghian “Sentiment analysis in Sport related tweets”, Institute for Biomedical Enginering, Science and Technology(iBest18), Oct 2018

Awards and Honors

Ranked among top 10 team between 351 participant team in SPIE-AAPM-NCI BreastPathQ: Cancer Cellularity Grand Challenge 2019
Ranked 2nd among 52 team across Canada in Thales AI student competition 2018
Outstanding PhD Student Scholarship Award in computer science department of Ryerson University 2018
Outstanding PhD Student Scholarship Award in computer science department of York University 2012
Outstanding Master Student Scholarship Award in computer science department of Ryerson University 2008
Ranked 145 (esp. 97 in Artificial Intelligence branch) among the 5445 participants at national master's degree entrance exam in Iran. Only 221 people admitted in this field 2002

Interest

I am highly knowledgeable with strong background in:

  • Artificial Intelligence
  • Deep Learning
  • Reinforcement Learning
  • Generative Adversarial Network
  • Fuzzy Systems
  • Image Processing
  • Evolutionary Intelligence
  • Database and Data Mining
  • Machine Learning in Health Care
  • Evolutionary Programing
  • Natural Language Processing
  • Speech Processing

My main interest are theory of machine learning, deep learning and reinforcement learning and their usage in medical domain and fintech

Technical Skills and Proficiencies

Programming:

  • Proficient in
    • Scientific Languages: Python, R, Sci-Kit, Spark, Matlab
    • Object Oriented Design and Web Based Languages: C++/C, C#, Java, HTML
    • Databases Concepts and SQL and NoSQL
    • Unix and Linux based systems
  • Familiar with
    • Prolog, Latex

Languages:

Proficient in Farsi and English

Experience

ACADEMIC EXPERIENCE

Research Assistant, Ryerson University

Working in machine learning lab on usage of deep learning in medical related problem

2017 - 2018
Teaching assistant, Ryerson University

Python programming (Fall 2017), Introduction to Matlab (Winter 2018), Teaching Data science to graduate level students (summer 2018)

2017 - 2018
Research Assistant, York University

Worked in Data Mining lab on topics related to Deep Learning and information analytics

2012 - 2016
Teaching Assistant, York University

Computer fundamentals (Fall 2012). Introductory Programming for Scientists (Spring 2013 and Fall 2014 and Fall 2015). Fundamental of Algorithm Design (Winter 2014, Winter 2015, Winter 2016)

2012 - 2016
Research Assistant, Ryerson University

Worked in Computational Intelligence Initiative lab (CI2) on topics related to Soft Computing, Evolutionary Programing, Fuzzy Systems and Granular Computing

2008 - 2009
Teaching Assistant, Ryerson

Data Structure (Fall 2008). Introductory Programming for Scientists (Spring 2008). Information Security (Winter 2009). Artificial Intelligence (Winter 2009)

2008 - 2009
Course Instructor

I taught undergraduate students in different universities and college

 
Change School Continuing Study, Ryerson

Database Fundamental and Information Technology

Winter 2016
Culture & Art Applied Science University, Campus 25, Tehran

System Design and Analysis, Computer Networks, Computer Graphics, Database Fundamental, Data Storage and Retrieval Fundamentals

2005 - 2007
Sapco Applied Science Advanced Training Center

Supervised by Comprehensive University of Applied Science
Machine Construction and Assembly Language, Database Fundamental, Applied Software, Software Project

2002 - 2005

PRACTICAL EXPERIENCE

System Architect and Solution Designer

Globe and Mail Co, Toronto
Designed and developed a system to analyze customers information and behavior and predict their preference and status

2013 - 2014
System Architect and Solution Designer

RealScoiable Co, reside in Digital Media Zone (DMZ)
Designed and implemented a solution to measure the relation of the people in social networks of different companies

2010 - 2011
System Analyst and Software developer

Tahlilgaran Novin Company Ltd,
Software Company, Tehran, Iran
Designed and Implemented new database and modules for Upstream Information System Software of Petroleum Organization of Iran, Design and Implementation of new architecture for Upstream Information System Software of Petroleum Organization of Iran

2006 - 2007

Hobbies

In my spare time I am playing basketball or doing photography

You can find my photography works in my website or my Instagram