Maryam Nouri Kadijani Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

a) Implemented real-time image processing using advanced computer vision techniques for object detection, tracking, and quantification, providing real-time data insights for informed decision-making. This led to increased customer satisfaction, operational efficiency, and a 20% boost in production line efficiency with reduced downtime.b) Developed and deployed an AI-driven automated quality inspection system to enhance efficiency and accuracy in product assessment. This system streamlined quality control, reduced manual errors, and improved defect detection capabilities. c) Created a route optimization system using constraint programming and machine learning for fresh bakery deliveries, achieving a 2% reduction in transportation costs and a 5% decrease in delivery times.

Toronto, Ontario, Canada

a) Successfully automated Wal-Mart Retail Link data download, cleansing, and submission processes to an SQL server, resulting in a significant 40% increase in business productivity by streamlining data preparation procedures.b) Automated financial data extraction from PDF invoices using robust NLP techniques reduces processing time by 30% and minimizes manual errors, enhancing efficiency in data management.

a) Developed a model to extract data from PDF resumes and job descriptions, employing NLP (BERT model) for accurate and efficient candidate ranking during screening.b) Advanced analysis of online sales data, optimizing business strategies through customer segmentation, basket analysis, collaborative filtering, and customer lifetime prediction.c) Developed an AI chatbot for automated FAQ responses during the hiring process using NLTK.

London, Canada Area

a) Identified a 32% decline in spatial working memory in schizophrenic patients using ML techniques, including dimension reduction (PCA) and classification methods like RF, multivariable logistic regression, and SVM models.b) Decoding the sequential flow of neural response to the visual target using Granger Causality analysis.

London, Canada Area

London, Canada Area

a) Recorded digital signals from hand movement of patients with ASD, b) Signal processing techniques such as FFT, Spectral estimation, feature extraction, and time-frequency analysis to extract meaningful statistics to diagnose the disorder

Tehran,Iran

a) Simulated noise in equilibrium and non-equilibrium stochastic systems, accurately defining the system's state over time using Fortran.b) Proposed a Finite Difference Method (FDM) for numerical simulation (using Fortran) of propagation nonlinear waves in thermoviscous fluid that decreased computer run time by a quarter.c) Developed plasma modeling and numerical simulation as the theoretical exercise of numerically solving an initial-value-boundary problem-value to predict new physics. d) Commenced a new stochastic simulation method (using Molecular Dynamics and Monte Carlo) to observe the noise effect on a stochastic system and identified control parameters to reduce noise.

Tehran, Iran

a) Taught different physics and math courses/laboratories b) Managed classes and presented lectures to students to teach new concepts and review topics c) Motivated and supported students to understand core concepts, interpret the results, and evaluationd) Invented a new teaching method at the university level that caused more than %80 satisfaction of students through my teaching experience

London, Ontario, Canada

Simulation of Non equlibrium and stochastic systems

Iran

• Taught Mechanics and Electricity Physics-Undergraduate level• Taught Electricity and Mechanics Lab -Undergraduate level

Master'S Degree, Neuroscience

Analysis of electrophysiological data for understanding how entire networks of neurons coordinate to enact complex cognitive behavior

Doctor Of Philosophy - Phd, Statistical Mechanics

Studies of role of noise in equilibrium and non-equilibrium systems

Master'S Degree, Plasma Physics

Simulation of propagation of solitary waves (Solitons) in dusty plasma

Bachelor Of Science (Bs), Condensed Matter And Materials Physics