- Coordinating project plans, including cost estimates, design outlines, and technical assessments, ensuring alignment with budget, schedule, and scope constraints.- Preparing and refining technical documentation (requirements, specifications, and designs) to support customer engineering teams, enhancing their ability to deliver complex designs.

- Developed a load prediction model for a complex mechanical plant using problem-solving skills. Utilized measured data and analytical techniques to craft a robust model, resulting in enhanced predictive capabilities for plant operations.- Simulated the plant in action and successfully validated the developed prediction model's accuracy.- Authored a scientific paper detailing the approach, model, and simulation results, communicating complex technical concepts and contributed to the advancement of industry.

- Led the development of O&P CAD/CAM software, innovating orthosis and prosthesis design by integrating 3D scanning technology and enabling customization for patients' needs, resulted in the successful release of the beta version.- Coordinated project phases and resource allocation for a team of four developers, ensuring timely delivery and adherence to budget constraints while maintaining quality standards.- Contributed to the software's robustness and functionality by utilizing Python to develop mathematical algorithms for deforming 3D object, improving its capabilities and enabling precise modeling of orthotic and prosthetic products.- Facilitated communication within the development team, resolving conflicts and fostering collaboration, while also effectively presenting the software to diverse audiences, bridging the gap between technical intricacies and stakeholder understanding.- Collaborated with manufacturing teams to oversee the production of prototypes using CNC and additive fabrication (3D printing) methods, to ensure seamless integration with the software, ultimately enhancing its practical utility in real-world applications.

- Leveraged deep learning techniques to design and train a neural network model capable of accurately estimating main body measurements from image inputs.- Utilized data preprocessing and analytics techniques to enhance the accuracy and robustness of the body measurement estimation model.

- Conducted and managed research to adapt oil and gas industry solutions for groundwater application, resulting in the development of a tailored technology to mitigate pollution risks and improve water quality.- Managed two projects, including the development of a groundwater technology for pollution prevention, securing CAD $200,000 investment for commercialization, and leading project planning and budgeting.- Effectively communicated project objectives and outcomes to investors and stakeholders, showcasing the potential impact of the developed technology on water well efficiency, leading to successful funding acquisition and project endorsement.- Played a pivotal role in the mechanical design of robotic machinery, employing engineering expertise to ensure optimal functionality and efficiency.- Led the development of a visualization tool utilizing wells' spatial data and specifications to categorize water well problems and solutions, preparing technical teams with valuable insights for informed decision-making.

Offered undergraduate and graduate courses in the Departments of Mechanical and Chemical Engineering, including Automatic Control, Statics and Mechanics of Materials, Mechanical Engineering Design, Nonlinear Control, Advanced Numerical Analysis.

- Conducted research and simulations on methods to identify the user's intention in controlling a prosthetic limb or an exoskeleton for specific movements.- Collected and processed ultrasonic image data of limbs movements, utilized data science techniques to accurately predict the limb movement.- Led a team of four undergrads in implementing these methods in a testing apparatus.

Redesigned and optimized the "oil-drop Millikan experiment" apparatus used to measure the charge of an electron.

- Applied Model Predictive Control (MPC) to the wake flow downstream of a submerged cylinder using Ginzburg-Landau model.- Developed a 1D nonlinear approximate model to simulate and control the electrohydrodynamic forming of a thin liquid film.

- Studied and developed methods for control of moving boundary parabolic partial differential equations (PDEs).- Developed a 2D finite element model of Czochralski crystal growth process and appliedtemperature control to the numerical model with the objective of higher crystalline quality.- Assisted teaching several undergraduate courses including Process Control, Fluid Mechanics and Heat Transfer.