Upcoming Doctoral Dissertations

"Artificial Intelligence (AI) has rapidly transformed scientific research, industry, and everyday life. The rapid evolution of AI models, particularly large language models (LLMs), has dramatically increased the computational and memory demands of modern AI workloads. As AI models continue to grow in scale and complexity, performance bottlenecks increasingly arise across multiple layers of the AI systems stack" Read more

"Artificial intelligence (AI) has growing potential to support clinical decision-making by detecting health risks, interpreting predictive patterns, and enabling timely personalized interventions. However, many clinical AI systems remain limited by black-box predictions, static explanations, and limited adaptation to users' emotional and cognitive states. These limitations are especially critical in behavioral health, where risk states fluctuate in daily life and effective support requires transparent, emotionally appropriate, and shared understanding between patients and clinicians. " Read more

"Electron transport in semiconductors can be significantly influenced by external magnetic fields, giving rise
to magnetotransport phenomena such as the quantum Hall effect, spin–orbit coupling, and magnetoresistance.
These effects have attracted considerable interest due to their potential applications in next-generation
optoelectronic and spintronic devices. Among semiconducting systems, two-dimensional (2D) materials are
particularly promising because of their tunable electronic and magnetic properties, strong spin-orbit coupling,
and diverse crystal symmetries." Read more