Highlights

Dr. Yassmin is an expert in manufacturing with extensive experience in sustainable manufacturing, additive manufacturing, coatings, surface texturing and Industry 4.0. She obtained her Ph.D. from McMaster University in Canada in 2020 and has more than eight years of experience in research, academic, and industrial settings. Her mentorship includes guiding over 18 graduate and undergraduate students through their thesis research. She has also taught a broad spectrum of undergraduate courses in Manufacturing Engineering. Her contributions to academia have been recognized through several prestigious awards, including the Ontario Graduate Student Award, GSA Teaching Assistant of Excellence Award, Dante Cosma Grad Scholarship, SGS Travel Award, International Excellence Award, Graduate Teaching Award, Outstanding Graduate Instructor Award, and Best Teaching Assistant Award.

Professional Experience

Dr. Yassmin served as a Senior Process Engineer at ALMAG Aluminum in Canada, where she was instrumental in addressing production challenges and improving operational efficiency for a company known for its complex, high-visual aluminum products. Her role involved collaborating with cross-functional teams to resolve production issues, spearheading continuous improvement initiatives to enhance process efficiency and reduce manufacturing costs, and analyzing data to monitor performance and implement data-driven solutions. She was also a Research Associate at Windsor University, where she led a significant research project focused on the application of digital twins in manufacturing. Her responsibilities included mentoring graduate students, collaborating with the Ford Plant in Windsor on tool condition monitoring and digital twin applications, and securing research funding. Notably, she successfully obtained $177,000 for the "Fault Detection and Recovery in AI-Powered Automobile Engine Machining" project, funded by the Joint NSERC-Alliance-Mitacs Accelerate program.

Professional Affiliations

PENG, Professional Engineers Ontario (PEO), Canada

PMP, Project Management Institute (PMI), USA

Selected Publications

• Luis W. Hernández González, Ahmed YS, Dagnier A. Curra Sosa.Roberto Pérez Rodríguez, Oscar Gwatidzo. “Enhancing AISI D2 Steel Milling: Balancing Surface Quality and Tool Life”, The International Journal of Advanced Manufacturing Technology, The International Journal of Advanced Manufacturing Technology, 2024.
• Ahmed YS, ELMaraghy H. “Offline digital twin for simulation and assessment of product surface quality”. The International Journal of Advanced Manufacturing Technology, 2023.
• Ahmed YS, González LW. “Ti6Al4V alloy grinding using different lubrication modes for minimizing energy consumption and carbon emissions”. The International Journal of Advanced Manufacturing Technology, 2023.
• Ahmed, YS, Ryon A. “Tribological performance of a hybrid Cryo-MQL system on Ti6Al4V milling”. International journal of advanced manufacturing technology, 2022.
• Ahmed YS, Veldhuis Sc. Enhancement of carbide tool performance during dry machining through a combination of laser surface texturing and tungsten disulfide soft coatings. Surface & Coatings Technology 2021.
• Ahmed YS, Paiva JM., Amorim FL, Torres RD, Veldhuis Sc. Laser surface texturing and characterization of austenitic stainless steel for the improvement of its surface properties. The International Journal of Advanced Manufacturing Technology 2021.
• Ahmed YS, Paiva JM. Arif AFM, Amorim FL, Torres RD, Veldhuis Sc. Influence of laser micro-scale textured tools on tool-chip interface performance and surface integrity in austenitic stainless-steel turning. Applied Surface Science 2020.
• Ahmed YS, Arif AFM, Veldhuis Sc. Application of the wavelet transform to acoustic emission signals for Built-up edge monitoring in stainless steel machining. Measurement 2020
• Ahmed YS, Paiva JM, Bose B, Veldhuis Sc. New observations on built-up edge structures for improving machining performance during the cutting of super duplex stainless steel, Tribology International 2019.
• Ahmed YS, Alam S, Arif AFM, Veldhuis SC. Use of acoustic emission and cutting force signals to monitor built-up edge formation in stainless steel turning. Int J Adv Manuf Technol 2019; 49:779–84.
• Ahmed YS, Arif AFM, Veldhuis Sc. Online Monitoring of built-up edge formation in turning stainless steel using acoustic emission signals. Proceedings of The Joint Canadian Society for Mechanical Engineering and CFD Society of Canada International Congress 2019, London, Canada,1-9, June 2019.
• Stolf P, Paiva JM, Ahmed YS, Endrino JL, Saurav Goel, Stephen C Veldhuis, Tribological aspects of high-pressure coolant supply assisted cutting of Ti-6Al-4V. Wear 2019.
• Ahmed YS, Paiva JM, Veldhuis SC. Characterization and prediction of chip formation dynamics in machining austenitic stainless steel through the supply of a high-pressure coolant, Journal of Advanced Manufacturing Technology 2018.
• Ahmed YS, Veldhuis Sc. Effects of High-pressure coolant on machining temperature and machinability of AISI 304 stainless steel, CSME International Congress 2018, Toronto, Canada, 1-8, May 2018.
• Ahmed YS, Youssef H, El-Hofy H, Ahmed M. Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills, Journal of Manufacturing and material processing 2018.
• Wilfredo L, Ahmed YS, Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel, Journal of material and manufacturing, 2018.
• Paiva JM, Fox-Rabinovich G, Junior EL, Stolf P, Ahmed YS, Martins MM, Bork C, and Veldhuis Sc. Tribological and Wear Performance of Nanocomposite PVD Hard Coatings Deposited on Aluminum Die Casting Tool. Materials 2018; 11:358 –368.
• Ahmed YS, Paiva JM, Covelli D, Veldhuis Sc. Investigation of Coated Cutting Tool Performance during Machining of Super Duplex Stainless Steels through 3D Wear Evaluations. Coatings 2017; 7:127.
• Ahmed YS, Fox-Rabinovich G, Paiva JM, Wagg T, Veldhuis SC. Effect of Built-Up Edge Formation during Stable State of Wear in AISI 304 Stainless Steel on Machining Performance and Surface Integrity of the Machined Part. Materials 2017; 10:1230 –1245.