Javad Farshchi Email & Phone Number

Toronto, Ontario, Canada

• Develop predictive and prescriptive maintenance solutions for medical equipment using machine learning techniques.
• Conduct research and development, including developing prototypes, testing hypotheses, and validating new approaches.
• Utilize proactive monitoring, diagnosis, and intervention to ensure optimal performance and minimize downtime.
• Apply data-driven insights to enhance the reliability, efficiency, and longevity of critical medical devices, contributing to top-quality patient care.

Toronto, Ontario, Canada

• Develop predictive and prescriptive maintenance solutions for medical equipment using machine learning techniques.
• Conduct research and development, including developing prototypes, testing hypotheses, and validating new approaches.

• Designed and developed miniaturized biosensors for environmental monitoring (pathogen detection): framing the problem, creating conceptual designs, fabricating prototypes, performing tests, analyzing datasets, and.
• Developed software for data acquisition (ingestion, formatting, and cleaning) to determine the contamination of drinking water with detection ability as low as ten cells of bacteria.
• Optimized sensor using numerical simulation and statistics (ANOVA and post-hoc analysis) that improved performance by two magnitude orders and reduced project cost and time by 20%.
• Used Python's libraries for data manipulation (NumPy and pandas) and visualization (Seaborn, Plotly, and Matplotlib) to convert sensor data into actionable insights.
• Used MATLAB to develop an image processing procedure to measure thermo-photonic radiations for various applications.
• Conducted literature research to identify technical/scientific gaps, designed and performed experiments, developed new proposals and content, documented the results, and presented them weekly.

• Instructed Java (Object Oriented Programming), Thermodynamics, Engineering Principles, Problem Solving, Ethics, Instrumentation and Measurement Techniques to 400 undergraduate students.

Toronto, Ontario, Canada

• Represented 6,000 students and worked with university authorities to resolve academic and well-being issues during the pandemic.

Tehran Province, Iran

• Developed add-on Low Energy IoT device to convert point-of-care glucometer to smart devices using C++, enabling patient-doctor communication and monitoring.
• Developed an add-on electronic device to convert mechanical flow meters using the Internet of things (IoT) to record and send data to a Sigfox Cloud dashboard for visualization for Isfahan city hall.
• Programmed an Arduino Pico for the prototype of a wearable smartwatch for geo-tracking senile people diagnosed with Alzheimer's/Demons.
• Established algorithms for point-of-care diagnostic devices’ design (sample preparation step) with four times lower run-time (0.5 hr) compared to best performing and fastest algorithm.
• Assisted in density functional theory calculations to investigate the applicability of using 2D materials for gas sensors.
• Assisted in van der Waals density functional calculations to find proper 2D material for DNA sequencing device.

Tehran Province, Iran

Tehran Province, Iran

• Hosted and supervised international students' summer R&D internship at K. N. University of Technology and the University of Tehran.

Tehran Province, Iran

• Designed and fabricated microfluidic chips to study personalized cancer drug doses for each patient.
• Performed numerical simulations to determine flow characteristics using COMSOL to optimize designed chips.
• Achieved 10x increase in drug molecule size to increase permeability to tumour cells using the designed chips.

Tehran Province, Iran

• Instructed Microfluidics, BioMEMS, and HVAC to 70 students.

Tehran Province, Iran

• Developed computer vision AI model with labelling pathology images of the database to predict patients’ condition upon acquiring new images.

Master Of Science - Ms, Mechanical Engineering, 4.0/4.0

Bachelor Of Science (B.Sc.), Mechanical Engineering, 3.8/4