Kavya Mishra's primary research interest lies in understanding the computational principles of the brain. She investigates how neurons and synapses interact to process information, adapt to new experiences, and drive behavior. Her main objective is to work on the mechanisms of learning and memory, providing valuable insights for developing biologically-inspired AI models.  Her hobbies are listening to music, reading novels, and roasting her brother Akshansh. 

With a Master of Science from the University of Kiel, Devarrishi's journey in material science is marked by a focus on innovation, particularly in smart materials and surface engineering. During an online internship at Harvard University, Devarrishi contributed to developing proposals for biodegradable polymers designed for smart drug delivery capsules targeting obesity, demonstrating a strong commitment to applying materials in medicine.

Devarrishi's Master's thesis at ETH Zürich involved the creation of a novel biodegradable surgical patch, showcasing expertise in materials characterization and surface engineering. These experiences highlight Devarrishi's dedication to advancing research and development in smart materials, with a focus on contributing innovative solutions in the field.

Through his research in semiconductor material processing and sustainable manufacturing, he has demonstrated how AI-driven optimization can significantly reduce energy consumption and carbon dioxide emissions while maintaining high machining efficiency. His work involves developing sophisticated prediction models that combine traditional manufacturing knowledge with cutting-edge machine learning methods to enhance process control and output quality.

His publications in reputable journals and conferences have contributed valuable insights to the field, particularly in the areas of process optimization and sustainable manufacturing. He is passionate about fostering collaborative research environments that encourage innovation and critical thinking, and he continues to contribute to the advancement of smart manufacturing technologies through education and research. 

Akshansh specializes in applying artificial intelligence-based algorithms in the manufacturing and materials sectors. His main research interests are Bioinspired structures, Computational Modeling, Cognitive Computing, Advanced Manufacturing, Explainable Artificial Intelligence (XAI), Machine Learning, and Composite Materials. Beyond his professional work, he enjoys traveling, listening to music, browsing memes (sometimes he brews new memes out on day-to-day life experience) , and continuously self-learning new things.