Authors: Sean Akkulugari, Janhavi Jere, Vaidehi Jere, Anna Lowry, & Angelina Lu Mentor: Isaac J. Parker. Isaac is currently a doctoral candidate in the Department of Engineering at the University of Cambridge with research specialization in machine learning and computational chemistry. Abstract Cybersecurity is the practice of protecting digital and information systems from attack. In an increasingly digitalized world there are more threats than ever before. Cyberattacks can

Authors: Janhavi Jere & Vaidehi Jere Mentor: Eszter Varga-Umbrich. Eszter is currently a doctoral candidate in the Department of Engineering at the University of Cambridge. Abstract As artificial intelligence (AI) systems scale in size and complexity, they sometimes begin to display unexpected and unprogrammed capabilities that arise abruptly. These are known as emergent abilities—behaviors not explicitly coded or anticipated during training. Alongside these capabilities, new

Authors: Soren Comer & Simran Katari Mentor: Markus Baumgartner. Markus is a doctoral candidate in engineering at the University of Oxford. Abstract The ability to construct supertall skyscrapers has revolutionized urbanization. Creating “mile-high” buildings poses extreme engineering challenges and requires substantial technological advancements. This review paper investigates the challenges and recent solutions developed for creating tall structures safely, usefully, and ef

Authors: Natasha Nejat, Aaron Nguyen, Aria Ramsinghani, & Arjun Ravichandran Mentor: Kyle Fogarty. Kyle is a doctoral candidate in the Department of Engineering at the University of Cambridge with research specialization in computer graphics, computer vision, and machine learning. Abstract Vision-Language-Action (VLA) models represent a significant advancement in robotics. By integrating visual perception, natural language understanding, and action execution to enable robots

Authors: Dilan Singh, Tiffany Hong, & Kyle Chiu Mentor: Jack Proudfoot. Jack is a doctoral candidate in the Department of Engineering at the University of Oxford specializing in Active Flow Control with joint funding from Rolls-Royce and EPSCRC. Abstract Aviation is a carbon-intensive form of transport, critical to the global economy. Currently, aviation is responsible for ~3% of global CO2 emissions. This share of emissions is predicted to rise as the global civil aviation m

Authors: Kyle Chiu, Anthony Dosev, Divij Gupta, Tiffany Hong, Nolan Kirk, & Rishi Madduluri Mentor: Dr. Samuel Baker. Dr. Baker is a postdoctoral fellow at the University of Oxford Centre of Excellence for Hybrid Thermal Propulsion Systems with research specialization in Machine Learning for Engine Airflows. Abstract The paper reviews the key concepts and recent work associated with the various propulsion systems used in hypersonic aircraft. Firstly, a brief historical backg

Authors: Clay Hsieh, Xander Matcuk, DeVaughn Prince, & Shiven Seth Mentor: Harry Moore. Harry is a doctoral candidate in the Department of Engineering at the University of Cambridge with research specialization in Artificial Intelligence. Abstract Reinforcement learning (RL) has emerged as a pivotal framework in the field of machine learning, offering powerful solutions for complex decision-making problems where an agent learns to make sequences of decisions by interacting w

Authors: Neel Gonugunta, Ikshika Pant, & Jake Weiner Mentor: Dr. Kay Song (DPhil, University of Oxford). Dr. Song is currently a post-doctoral researcher in the Department of Engineering Science at the University of Oxford with research specialization in Nuclear Physics. Abstract With the increasing costs of fuel extraction and growing energy demand of mankind, an alternative and high-density source of power is crucially needed. The variable nature of renewable energy sources

Authors: Arianna Matcuk, Aryan Wadhwani, & Michael Wen Mentor: Dr. Samuel Baker. Dr. Baker is a postdoctoral fellow at the University of Oxford Centre of Excellence for Hybrid Thermal Propulsion Systems. Abstract In this work, recent progress in the development of materials for hypersonic aircraft is reviewed. Firstly, an introduction to the challenges of material design for hypersonic applications is presented, and the main mechanisms of material failure are discussed. This

Author: Hayato Nagai Mentor: Dr. Francesco De Cola (PhD, University of Oxford). Dr. De Cola is Head of Design and Engineering for Advanced Projects at McLaren Racing. Abstract Within the last few decades, the popularity of metal matrix composites (MMC) has grown substantially as a response to the universal need for more advanced materials that hold superior properties than conventional metal alloys. The addition of reinforcement materials into the metal alloy matrix produces

Authors: Anika Reddy Gaddam, Sanaa Karkera, & Bohan Zeng Mentor: Antonio Camara. Antonio is a doctoral student in the Department of Government at Harvard University and holds a B.S. in Computer Science from Columbia University. Abstract The integration of Artificial Intelligence (AI) in healthcare has revolutionized disease diagnosis, but algorithmic biases within these models pose significant challenges. While existing literature highlights the ethical implications of biases