Shervin S
- Research Program Mentor
PhD at University of Pittsburgh
Expertise
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
Bio
I am a dedicated educator and mentor deeply passionate about fostering scientific curiosity and innovation. With a background as a Grand Award Judge at the International Science and Engineering Fair, I have guided and evaluated students' STEM projects, fueling their aspirations. At the University of Pittsburgh's School of Engineering, I teach undergraduate and graduate courses, merging theory and application to cultivate a dynamic learning atmosphere. Beyond academia, I thrive on teaching coding skills at hackathons and workshops, promoting hands-on learning and collaborative problem-solving. Guiding research projects for undergraduate and graduate students, I am committed to nurturing future trailblazers. Through initiatives like Girls Rock Science, I aim to bridge gender gaps in STEM, inspiring the next generation of leaders.Project ideas
Simplifying Fiery Reactions with Data
I spearheaded an exciting project called "Simplifying Fiery Reactions with Data" that aimed to make complex combustion simulations easier to understand and work with. Imagine a puzzle where you have to figure out how different things burn and react together. Well, in the world of science and engineering, we use special computer programs to simulate these reactions, which help us design better engines, create cleaner fuels, and even understand how fire behaves. But here's the catch: these simulations can be really complicated and time-consuming. That's where our project would come in! We will use tricks with data to make these simulations faster and simpler, like finding shortcuts in a maze. By doing this, we can unlock valuable insights into combustion and make it much easier for scientists and engineers to study and improve how things burn. It's like making a tough puzzle a whole lot easier to solve, and it's all about making our world safer, cleaner, and more efficient!
Field Survey Proposal for: Building an Eco-Friendly Multipurpose Stadium/
The project’s primary aim is to coduct a study on multipurpose dome for football, among other uses, while adhering to sustainable practices. We aimed to align this project with Saudi Arabia’s national goals of reducing carbon emissions and promoting renewable energy. By using eco-friendly materials and energy-efficient design, the dome will not only minimize environmental impact but also serve as a model for sustainable development in the region. The outcome is presented in the local highschool journal as a scientific research paper.
Advancements at the Intersection of AI and Aerospace Science
This research project aims to explore the transformative role of artificial intelligence (AI) in aerodynamics and highlight its profound impact on the field. It examines how AI algorithms are revolutionizing traditional methods of aerodynamic analysis and design, allowing for more efficient and optimized aircraft configurations. The project delves into specific applications such as airfoil design, where AI decreases the time to results with the design of the experiment. It also explores the challenges that come along with linking AI with aerospace whether that be the guidance, navigation, and control issues or the long-term sustainability and efficiency of current commercial systems.