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Fredrick Omoarukhe obtained his BEng in Chemical Engineering from the University of Ilorin and is currently pursuing an MSc in Chemical Engineering at the University of Adelaide. His research interests are in the areas of hydrogen production, storage, and utilization, as well as renewable products and processes. Fredrick developed a stochastic economic model for evaluating the minimum fuel selling price of renewable propylene glycol. His publications can be found here Link.
Inioluwa Christianah Afolabi obtained her Bachelor's degree in the Department of Pure and Applied Chemistry, at Ladoke Akintola University of Technology. She is currently a doctoral student at the University of Cambridge under the Mastercard foundation scholarship. Her research interest is in the area of data-driven machine-learning applications for thermochemical process prediction and optimization. Her publications can be found here Link.
Meshach Tabat obtained his B.Eng in Chemical Engineering from the Federal University of Technology, Minna. He is currently a Ph.D. Candidate at the University of Calgary, Alberta. His research interest is in the design of conceptual integrated biorefinery systems for the optimization of bioenergy systems. His publications can be found here Link.
Kwaghtaver S. Desongu is currently a graduate student at Auburn University. Before joining Auburn, he was a member of the CETG where he worked on underground hydrogen storage and (white) natural hydrogen. He obtained his bachelor's degree in Chemical Engineering from the Federal University of Technology, Minna. Desongu contributed significantly towards the success of the highly regarded review paper entitled "Perspectives and prospects of underground hydrogen storage and natural hydrogen".
Arnold Sison completed his honors thesis research on combining experimental data with mechanistic process simulation and interpretable machine learning to understand hydrogen production from chemical looping gasification of waste biomass. Find the link to Arnold's work below
Chinenye Douglas completed his masters degree on the application of interpretable machine learning to understand lignocellulosic biomass pyrolysis: catalyst screening and process optimization. The work was sponsored by the PTDF and DAAD scholarship. He is currently a software engineer and hope to continue applying his expertise to advance industrial decarbonization. Find the link to his thesis here.
Sadie Prigmore research focused on exploring different cushion gas for underground hydrogen storage.
Brooke Rogachuk research was focused on process modeling and optimization of sustainable aviation fuel production pathways from hazardous solid waste. Brooke is an Astranault Foundation scholar and a Goldwater Scholar. She has presented her research in several conferences including AIChE, ACS and ASEE. See some of Brook's work here
Sydney Etchieson research focused on the application of machine learning to understand and predict biochar properties for environmental remediation. Here is a link to her recent work.
Pravachan Patra is a Computer Science student at the University of Oklahoma. His interests lie in the fields of data science, machine learning, deep learning, and artificial intelligence. His passion was sparked by his father who also works in the software space. He is passionate about applying machine learning and data analysis techniques to develop innovative solutions to real-world problems. Pravachan enjoys building things from scratch and gaining a deep understanding of low-level details of a concept. He likes attempting to build hard things and persevering through technological challenges. In his free time, he enjoys a variety of sports including basketball, crickets and MMA. His research with Dr. Okolie focus on the application of machine learning to predict student success or failure in introductory engineering classes.
Keon Moradi research lies in applications of machine learning, with a specific interest in applications to stock trading and financial markets as well as energy applications.
Sophia Ye research focus onapplying computational fluid dynamics to simulate and analyze biomass gasification.
Kaustubh Pandit is a sophomore pursuing an undergraduate degree in Mechanical Engineering with a minor in Computer Science. He is originally from Pune, India. His childhood fascination with the intricate dance of gears and pulleys fueled his choice of Mechanical Engineering, viewing them as indices of creativity and innovation. He sees mechanical engineering as a means to unlock the secrets of the universe's machinery, from the delicate flutter of butterfly wings to the power of roaring engines. His research pursuits span robotics, engineering education, computer automation, bio instrumentation, and bioimaging. Kaustubh's journey into mechanical engineering stems from a profound fascination ignited by a simple birthday gift – a remote-controlled drone. Entranced by the complexities of flight and automation, he embarked on a quest to understand the mysteries behind these marvels and innovate. Inspired by visionary figures like Elon Musk, whose determined spirit and relentless pursuit of innovation resonated deeply, Kaustubh found a beacon of possibility in the vast expanse of engineering. He aspires to continue his academic journey by attending graduate school, viewing engineering not just as a career path, but as a lifelong journey of exploration. He is working on developing AI workflow for the optimization of chemical processes.
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