Reddy Rahul Saddala

Driven by a deep-rooted passion for Physics-Informed Neural Networks (PINNs) and High-Performance Computing (HPC) in Aerospace applications, I am an enthusiastic and inquisitive learner currently pursuing a Bachelor's in Mechanical Engineering at the National Institute of Technology Karnataka (NITK), Surathkal. With a solid foundation in core mechanical engineering principles, I continuously strive to push boundaries by integrating interdisciplinary domains such as Artificial Intelligence, Machine Learning, and Control Systems into real-world applications in aerospace and robotics. My recent work focuses on accelerating Computational Fluid Dynamics (CFD) through PINN-based modeling and GPU parallelization. During my internship at CSIR–NAL, I developed a CUDA-based CFD solver for compressible hypersonic flows on unstructured grids, optimizing computation using GPU architecture. This experience deepened my understanding of HPC frameworks, parallel programming, and the intersection of AI and CFD for next-generation aerospace simulation. Over the years, I have cultivated hands-on experience in Aerospace Engineering through internships at prestigious institutions like IIT Madras, where I worked on actuator disk modeling and Blade Element Momentum Theory under the mentorship of Prof. Ranjith Mohan. My projects included airfoil simulations using XFOIL, ANSYS Fluent, and OpenFOAM, exploring lift, drag, pressure distribution, and boundary layer behavior. My interest in CFD is further reflected in personal projects involving comparative flow simulations over different geometries, as well as benchmarking simulation data with research literature. I am currently working toward publishing this study to contribute to the broader CFD community. Parallel to CFD and aerospace, I have ventured into autonomous systems and path planning, leveraging Machine Learning to design intelligent UAV navigation strategies. During a Machine Learning internship at NYU Tandon School of Engineering, I explored object detection and autonomous decision-making, laying the groundwork for real-time UAV collision avoidance. This work extended to practical implementation using CoppeliaSim with the Python Remote API for multi-agent UAV control. Recently, as the Chair of IEEE NITK SIGHT, I have been channeling my leadership and technical skills to inspire innovation through socially impactful engineering projects. I am also developing a student-focused platform called Aspiraa, which helps students craft research-ready resumes, SOPs, and LORs using a custom-built chatbot.

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