Profiles

The aim of my MASc thesis was to develop a new energy model that predicts the energy infrastructure required to maintain the oil production in the Oil Sands operations at minimum cost. The key novelty in my research is that the model searches simultaneously for the most suitable set of oil production schemes and the corresponding energy infrastructures that satisfy the total production demands under environmental constraints, i.e., CO2 emissions targets.

The aim of my MASc study was to design an Artificial Neural Network (ANN) trained on data set to cover a wide operating range of all parameters affecting the demulsifier dosage in a desalting process for crude oil operations. This network will be used to work as a black box model inside the controller in which all affecting parameters are inputs and the demulsifier dosage is the controller’s output. Testing this control scheme showed an effective reduction in demulsifier consumption rate compared to existing methods.

The aim of my MASc study was to design an Artificial Neural Network (ANN) trained on data set to cover a wide operating range of all parameters affecting the demulsifier dosage in a desalting process for crude oil operations.

I obtained my Bachelor of Science in Chemical Engineering from the Benemerita Universidad Autonoma of Puebla (BUAP), Mexico. I am currently enrolled in the Master of Science in Chemical Engineering program at the Iberoamericana University, Mexico.

My MASc research studies focused on the development of an algorithm to schedule operations in an actual large scale analytical services plant using models based on multi-commodity flow (MCF) and integer linear programming (IP) techniques.

I am a PhD student co-supervised by Prof. Luis and Prof. Eric at the Chemical Engineering Department of the University of Waterloo. My research mainly focus on solid oxide electrolysis cell (SOEC) for the direct conversion of CO₂ to carbon monoxide (CO).

I received my BASc in Chemical Engineering from the University of Waterloo in 2015. The aim in my research is to study scheduling optimization methodologies and applicationofvarious Mixed Integer Linear Programming (MILP) formulations for industrial sized problems.

I studied in the Nanotechnology Engineering honours program at the University of Waterloo and graduated with my BASc degree (with distinction) in 2013. I then pursued a MASc degree in Chemical Engineering at the University of Waterloo.

I completed my Bachelor’s degree in Chemical Engineering in 2015 from China University of Petroleum (Beijing). I am currently doing my MASc studies at the University of Waterloo in the area of the process system engineering.

I graduated from Beijing Institute of Technology (BIT) in 2016 and continued to study at the University of Waterloo a MASc program. Currently, I’m interested in modelling oxygen carrier particles used in the Chemical Looping Combustion (CLC) process. 

I graduated in 2014 from my BASc degree in Chemical Engineering from Iberoamerican University (Mexico).

My research mainly focus on multi-scale simulation of the catalytic reaction, e.g. at microscopic, molecular or even electronic scales. The modelling techniques I am using are mainly Density Functional Theory (DFT), Kinetic Monte Carlo (KMC) and Finite Element Analysis (FEA).

I graduated my BSc degree with distinction in the Chemical and Biochemical Process Engineering program at the Babes-Bolyai University in 2010. Then I pursued an MSc degree in Advanced Process Control at the same university. My bachelor and my master thesis focused on post-combustion CO2 capture dynamic modelling and sensitivity study with uncertainty quantification of mass transfer and hydraulic models. This work was rewarded as one of the most cited articles in Computers and Chemical Engineering Journal during 2010-2012.

I graduated with my bachelors from Calicut University in 2014 and masters’ in 2016 from National Institute of Technology, Warangal. In my masters, I was working on CFD simulations of Chemical Looping Combustion of coal. Different types of oxygen carriers like iron oxide, copper oxide and nickel oxide were tested. Results of the detailed comparison studies were reported in two journal papers and a book chapter.

The objective of my PhD thesis was to develop a dynamic reduced order model (ROM) for the new generation of gasification systems, known as short-residence time gasifiers.

I graduated with a BASc in Chemical Engineering from the University of Waterloo in 2016. During my undergraduate studies, the projects that I found most interesting where those involving computational software like MATLAB and Aspen Plus.

I graduated with a BASc. in Chemical Engineering from Universidad La Salle, in Mexico City in 2011. Later I worked for 4 and a half years in an Engineering Procurement and Construction (EPC) company as a process engineer.

I am currently pursuing my MASc in Chemical Engineering at the Universidad Iberoamericana (Mexico). My main area of academic interest is dynamic modelling of renewable energy systems with the aim to find the best scenarios and conditions for equipment operation.

I received the BASc degree in Chemical Engineering in 2010, from Sahand University of Technology. I graduated in 2012 from my MASc program in Chemical Engineering (Modeling, Process Simulation and Control) from Sharif University of Technology .

Solid phase microextraction (SPME) is a rapid growing sample preparation technique used for analytical applications. We have developed a mechanistic mathematical model for the processes occurring in SPME extraction of analyte from a sample.

A dynamic MEA absorption process model was developed in my PhD to study the operability of this process in a dynamic fashion and to develop a control strategy to maintain the operation of the MEA scrubbing CO2 capture process in the presence of the external perturbations, which may arise from the transient operation of the power plants. The novelty in this work is that a mechanistic model based on the conservation laws of mass and energy have been developed for the complete MEA absorption process. The mechanistic dynamic model was applied to develop a basic feedback control strategy.

I graduated from my BASc program at the University of Waterloo in 2015. During my BASc, I had an interest in MATLAB and process control.

Today's world is extremely competitive; businesses have to be aggressive and develop or implement novel technologies that would allow them to reduce costs while meeting the process targets.

I developed in my MASc studies a new efficient approach for the optimal design under uncertainty. The key idea is to approximate the process constraint functions and outputs using Power Series Expansions (PSE)-based functions.

The microelectronic market imposes tight requirements upon thin film properties, such as surface roughness and film thickness. Thin film deposition is a batch process where the microscopic events determine the configuration of the thin film surface.

The integration of design and control of chemical processes have been identified as a key area of research and many methodologies have been proposed to address the issue.

I completed the bachelor degree in Chemical Engineering in 2007, from King Mongkut University of Technology North Bangkok. Also, I have four year experience in upstream oil and gas industry prior to pursuing the graduate study in University of Waterloo.

I graduated from my BASc in 2017 from the University of Guadalajara. After receiving a grant from CONACyT, I was able to join Luis' research group and started my MASc in the Fall term of 2017.

My doctoral research studies focus on improving CO2 capture process by adopting Chemical Looping Combustion (CLC). The process of CLC avoids direct contact between the fuel and the air.

Operations or process scheduling is a problem whose relevance spans many different industrial and engineering fields such as mining, chemical production and manufacturing plants.

CO2 emissions are regarded as one of the key factors that affect global warming. Significant efforts have been made to develop efficient and economically attractive technologies to reduce to CO2 emissions.