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 optimizing.• 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.• Developed and implemented algorithms for increasing the efficiency of passive particle sorters by 28%, compared to the best-performing device algorithm established then.

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