Sara Ranjbareslamloo is a PhD candidate and Research Assistant at the University of Toledo, specializing in additive manufacturing. Her research focuses on advancing innovative manufacturing processes to improve efficiency, precision, and sustainability in engineering applications. Passionate about bridging theory with practice, she is committed to developing solutions that push the boundaries of modern manufacturing technologies.

I’m a PhD candidate in Artificial Intelligence at ÉTS Montréal, working with Professor Sylvain Bouix on medical image analysis. My research applies Graph Neural Networks and Convolutional Neural Networks to reconstruct cortical surfaces from MRI scans, advancing diagnosis and understanding of neurological disorders such as Alzheimer’s and schizophrenia. With a strong background in deep learning, machine learning, and computer vision, I’m dedicated to driving innovation in AI-powered medical research.

Sohaib Dastgoshade is a PhD candidate at RMIT University’s College of Business and Law and a Research Fellow at the University of Texas at Arlington. He specializes in operations research, supply chain management, and logistics, focusing on data-driven strategies to enhance efficiency, resilience, and sustainability in supply chains. He has also received admission offers from Binghamton University and the University of Wollongong.