Reza Hassani

• Conducting advanced research on Vehicle-Track Interaction (VTI) with a focus on friction level estimation between wheel and rail to enhance safety and efficiency.
• Utilizing machine learning and data analysis techniques to develop innovative solutions in the field of railway systems engineering.
• Collaborating with Dr. Kevin Oldknow and a multidisciplinary team to bridge theoretical research with practical applications.
• Gathering and analyzing two types of data: simulation data from Universal Mechanism software by modeling an Instrumented Revenue Vehicle (IRV) Freight model provided by Monash IRT team, and real-time data obtained from Monash IRT team.
• Performing simulation work to understand the impact of various friction levels between wheel and rail on vehicle dynamic behavior and identifying the most important signals for these purposes.
• Leveraging knowledge in vehicle-track interaction, contact mechanics, and dynamics to identify friction levels in a given system, at a specific location, and time to enhance safety and efficiency.
• Developing and refining multi-body simulation (MBS) models using Universal Mechanism software for in-depth analysis of vehicle dynamics.
• Preparing and presenting research findings at academic conferences, contributing to the dissemination of knowledge in the field.
• Authoring and co-authoring research papers for publication in peer-reviewed journals, demonstrating strong scientific writing and communication skills.
• Engaging in continuous learning and professional development to stay updated with the latest advancements in sustainable energy engineering and railway systems.
• Supervising and mentoring undergraduate students in research projects, fostering a collaborative and educational research environment.

Holding lectures/tutorials/marking/workshops for the following course at SFU: The Business of Engineering.

• Holding lectures/tutorials/marking/workshops for the following course at SFU: The Business of Engineering.

• Develop, implement and manage our social media strategy
• Manage and oversee social media content
• Stay up to date with the latest social media best practices and technologies
• Communicate with industry professionals and influencers via social media to create a strong network
• Editing videos and shooting professional photos of the research team members of Dr. Taco Niet for their social media platforms like LinkedIn, etc
• Designing brochures for scientific purposes.

• Holding lectures/tutorials/marking/workshops for the following course at SFU: Geography of Transportation.

• It is my pleasure to be a volunteer to improve access to healthy food for immigrants and refugees by gathering and distributing useable, unsold food from grocery stores to the community at no cost.

• Holding lectures/labs/marking/workshops for the following course at SFU: Statics and Mechanics of Materials.

• Rail transit seminar
• Principles course
• Heavy haul seminar.

• Teaching Physics-the Cambridge book
• Teaching Mathematics-the Cambridge book
• Teaching English-the Cambridge book
• Working as a TA at some High schools.

• Research Focus: Investigated the implications of active lateral suspensions on rail vehicle performance, aiming to increase the top speed of trains.
• Failure Analysis: Identified and substantiated the reasons for speed reduction in the event of active lateral suspension failures.
• Market Analysis: Conducted comprehensive research on market evolution and key drivers impacting the adoption of active lateral suspensions.
• Technical Implementation: Successfully set up and configured SIMPACK software for advanced multi-body simulation (MBS) at the company.
• Simulation Studies: Executed two distinct simulation scenarios:Baseline Simulations: Evaluated standard performance metrics without active lateral suspensions.
  Innovation Simulations: Assessed performance improvements with the integration of active lateral suspensions.
• Comparative Analysis: Compared the outputs of baseline and innovation simulations to quantify the benefits of active lateral suspensions.

• Multi-body simulation (MBS)
• Wheel-Rail curving forces
• Wheel-Rail mechanical interaction and contact modeling