I am currently a graduate student in Biomedical Engineering at the University of Wisconsin–Madison, where my research interests center on the mechanics of soft materials, ultrasound-mediated therapies, computational modeling, and the integration of artificial intelligence into biomedical systems. My academic journey began with a Bachelor's degree in Mechanical Engineering from the Bangladesh University of Engineering and Technology (BUET), where I conducted undergraduate research under the mentorship of Dr. Shahereen Chowdhury. During this time, I developed a strong foundation in computational modeling, materials science, and advanced manufacturing, which continues to shape my interdisciplinary research approach today.

My background spans multiple engineering disciplines, including molecular dynamics simulations, computational material science, additive manufacturing, computational fluid dynamics (CFD), finite element modeling, control systems, and machine learning. Through these experiences, I gained a deep appreciation for how energy interacts with materials across different length scales and how these interactions influence mechanical behavior, structural evolution, and functional performance. This perspective has enabled me to approach complex engineering and biomedical challenges using both physics-based and data-driven methodologies. Throughout my undergraduate and research career, I have worked on projects involving laser-based additive manufacturing, solidification behavior of metallic materials, nano-structured surface analysis, condensation dynamics, and defect prediction using artificial intelligence. My work has focused on combining simulation tools with machine learning algorithms to improve predictive capabilities and process optimization. In particular, I have explored how advanced computational techniques can be leveraged to understand material behavior, reduce manufacturing defects, and support real-time decision-making in engineering systems. These experiences strengthened my belief that future technological advancements will increasingly rely on the convergence of physics-informed models and intelligent computational frameworks.

At UW–Madison, my interests have expanded into biomedical engineering, particularly in understanding the interaction between ultrasound and biological soft tissues. Inspired by the work of my supervisor, I am fascinated by the potential of ultrasound as a noninvasive therapeutic tool. Unlike conventional imaging applications, therapeutic ultrasound can mechanically and acoustically alter tissues through targeted energy delivery, enabling applications such as tumor ablation, drug delivery enhancement, tissue regeneration, and minimally invasive interventions. The ability to harness mechanical phenomena such as cavitation and acoustic wave propagation for medical treatment presents exciting opportunities to bridge engineering principles with clinical impact. My current research interests focus on investigating how ultrasound interacts with complex biological environments, particularly fibrotic and heterogeneous soft tissues. These tissues often exhibit altered mechanical properties that can significantly influence therapeutic outcomes. By combining experimental techniques, computational simulations, and machine learning approaches, I hope to contribute to the development of more effective and personalized ultrasound-based therapies. I am particularly interested in understanding the mechanics governing bubble dynamics, tissue deformation, and energy transfer within biological systems, as well as leveraging data-driven methods to optimize treatment protocols.

Beyond research, I value scientific communication, mentorship, and collaborative problem-solving. I have led interdisciplinary engineering teams, mentored junior researchers, organized technical events, and presented research findings at international conferences. These experiences have taught me the importance of translating complex scientific concepts into accessible knowledge that can benefit both the academic community and society at large. Looking ahead, I aspire to contribute to the advancement of intelligent biomedical technologies that integrate mechanics, computation, and artificial intelligence. My long-term goal is to develop innovative therapeutic platforms that improve patient outcomes through precision, adaptability, and noninvasive treatment strategies. By bridging engineering fundamentals with emerging biomedical applications, I hope to help shape the future of personalized medicine and transformative healthcare technologies.