Khalid Rashid Email & Phone Number

Veldhoven, Nl

• Working with the first Fab of TSMC (F21) in USA in a startup environment• Completed Process readiness of DUV Lithography machines and completed Yield star tool matching in TSMC Fab F18, Taiwan• Completed all core courses related to imaging, overlay, defectivity and productivity to enhance expertise on lithography machines• Served as lens specific calibration lead for Fab 21 TSMC and completed LSC on 6 machines in TSMC Fab.• Regularly delivered (KTs) to TSMC and litho problem updates• Solved 8 live cases for TSMC related to overlay and imaging• Completed 4 months of intensive training in Taiwan ASML.• Internal tool expertise for data analysis: OMAT, Alignment analyzer, FLAT, MDL browser, Lithotuner, DFtwin, Boombox

Oxford, Gb

Malvern, Pa, Us

- Analyzed statistical data from the mixture and dryer area and identify root causes of board quality problems-Obtained optimized temperature profile in the dryer to maximize line speed with maintaining board quality-Identified process problems and improved efficiency of the plant

Fremont, Ca, Us

• Data matched the model to the actual hardware • Designed and develop first-principles based dynamic models of gas delivery systems for semiconductor industry• Introduced a feedback and feedforward PID controller to reach setpoint within 0.5 seconds.• Developed automated tuning of the mass flow controller with overshoot within 1%• Developed controller capability to ensure insensitivity of the mass flow controller to pressure changes up to 35 psi within 1 second• Tuned actual mass flow controller in the test rig ensuring reaching the setpoint within 0.5 seconds.• Flow control experiments development and testing.• Competitive testing of competitor mass flow controllers (MFCs) and ensuring our MFC performs best in terms of pressure insensitivity (for both large and small swings), time to reach setpoint and overshoots and undershoots.

Newark, De, Us

● Developed a first principles-based hybrid reactive distillation column model for producing renewable biosurfactant● Implementing process intensification principles improved the desired product formation 5.5 times● Developed a control scheme to ensure water distillate purity of 99% and controller’s disturbance rejection capability.● Target set point achieved within 1 second with minimum overshoot or undershoots.● 20 % less initial capital cost and 12% reduced operational cost required due to shared infrastructure and synergistic benefits of process intensification● Cost of renewable surfactant is 24% lower than synthetic surfactants

Salt Lake City, Utah, Us

Modeling, Advanced Process Control, Control Systems Design, Real-time Optimization, Neural Networks, Solar-hybrid Plant Simulation• Designed and developed in-house first-principles dynamic models consisting PDEs for parameter estimation, advanced optimization, and robust process control.• Modelled a solar/ natural gas hybrid power plant to explore the synergistic effect of hybridizing. Hybridization demonstrates 71.9% more solar energy is harvested on an annual basis.• Enhanced the solar power production through nonlinear real-time optimization (RTO).. Yearly results demonstrate the model observed an improvement of 15.5% in terms of solar to electric efficiency and 18.2% in solar fraction• Developed Machine learning and neural networks for prediction of data-driven models. Ridge regression of the empirical equation showed an R2 value of 0.97 for parity plot indicating strong performance prediction.• Improved solar-to-electric efficiency, solar fraction and levelized cost of energy (LCOE) 76.8, 66.6% and 31.2% respectively higher for a plant level hybrid unit in comparison with a grid-level hybrid unit.• Extensive experience in scripting based languages such as MATLAB and Python.• Optimized the performance of the power plant to enhance solar power production• Petroleum pipe flow assurance Chevron project: Set up the oil flow loop. Analyzed experimental waxy oil flow data and gel break pressure. Developed a steady state model to predict Newtonian flow of waxy crude oil and predict gel break pressures.• Presented findings at multiple conferences including the annual American Institute of Chemical

I was a TA of the renewable energy, air pollution, chemical process safety and smart systems course-Helped students in their projects-Graded Assignments-Created Tasks-helped design the course with professor

Abu Dhabi, Ae, Ae

Thesis topic: Prospects for Algal Biofuels in the UAE: Technology and Economics, Professor Dr. Robert Baldwin• Saved $1.2 M (8% of the project revenue) by introducing green policy to support algal biodiesel production.• Setup an algal bioreactor and analyzed growth characteristics and effect of different parameters. Found the optimal growth condition in terms of CO2 % and temperature of the bioreactor.• Performed economic and sensitivity analysis using NREL software and reducing the cost of algal biofuels 37% by producing side products like Beta carotene and fish meal.

• Analyzed economic feasibility of new chemical products. Market analysis, quality assurance of chemical products • Reduced the effluent toxicity 83% as an effluent treatment plant (ETP) engineer and managed solid waste disposal.

Doctor Of Philosophy (Ph.D.), Chemical Engineering

Master'S Degree, Chemical Engineering

Master'S Degree, Chemical Engineering

Bachelor'S Degree, Chemical Engineering