Aishwarya Katkar

Featured project | Spring 2024

Mechanical engineering graduate student Aishwarya Katkar wanted to attend ASU because of its dynamic research atmosphere and environment of rich cross-disciplinary collaboration. Mechanical engineering provides a versatile foundation that can be applied to make meaningful impacts in many industries, including semiconductor manufacturing. In her research with the MORE program under the guidance of Masoud Yekani Fard, an assistant teaching professor specializing in mechanical and aerospace engineering, Katkar is using machine learning to help expedite material analysis to develop semiconductor device components.

What made you want to get involved in MORE and the project you’re working on?

Since my formative years, I’ve been deeply passionate about research, a trait passed down from my father who dedicated his career to the research and development sector. As I pursued mechanical engineering, I envisioned seamlessly blending my research interests with my growing skill set.

It was during this quest that I connected with Dr. Fard, whose expertise closely aligned with my interests, and his recognition of my research background presented me with an enticing project centered on integrating machine learning into material analysis. Understanding the game-changing potential of using machine learning to speed up material analysis, I eagerly committed to working on this project. This innovative approach has the power to revolutionize scientific research in the fields of material characterization and nanoscience.

As my journey progressed, Dr. Fard recognized my dedication and progress, ultimately inviting me to participate in the MORE program, further solidifying my commitment to research and academic growth. This serendipitous sequence of events underscores my passion for research and my unwavering dedication to pushing the boundaries of knowledge in pursuit of innovation and progress.

How will your engineering research project impact the world?

One of the primary challenges in materials testing and analysis is the significant time investment required. We aim to implement machine learning techniques to expedite the process. Our goal is to automate the identification of novel materials with specific properties by analyzing nanoparticles and the spaces between them. This approach will enable us to understand various material characteristics, such as electrical conductivity, more efficiently.

By streamlining the material analysis process, we can enhance the quality of materials used in semiconductor manufacturing. This innovative method will save time by eliminating the need for manual analysis, resulting in a smoother and more efficient process overall.

How do you see this experience helping with your career/advanced degree goals?

This experience holds immense significance for my career trajectory, particularly as a mechanical engineer with a background primarily rooted in design software. While my expertise in design software is undoubtedly valuable, this research opportunity has helped me broaden my horizons, particularly in the realm of material science. Integrating machine learning into material analysis has not only deepened my understanding of this critical aspect of engineering but has also expanded my skill set in the emerging field of machine learning.

This experience has made me confident in my ability to learn independently and has better equipped me to tackle multifaceted engineering challenges and make meaningful contributions to innovative projects in the field. Furthermore, this experience enhances my qualifications for a master’s degree program and diverse career opportunities, bridging the gap between my existing skills and the broader knowledge essential for success in mechanical engineering.

What is the best advice you’ve gotten from your faculty mentor?

The best advice I’ve received from Dr. Fard is to follow what truly interests me and aligns with my goals. He’s not just a mentor; he’s someone who sees potential in every individual and helps them find their path. Dr. Fard follows distinctive research methodologies, emphasizing the importance of thorough investigation and critical thinking.

One unique aspect of his mentoring approach is his encouragement to print out research information and physically write down key notes. This tactile approach not only helps in problem-solving but also promotes deeper understanding and retention of concepts. This advice came in the early stages of my work and set a strong foundation for my approach to research and problem-solving.

With Dr. Fard’s support, I’ve gained confidence and clarity in my academic and professional pursuits, knowing that I’m on a path that’s right for me.

Why should other students get involved in MORE?

Getting involved in programs like MORE and FURI offers students an unparalleled platform to showcase their work and gain invaluable confidence. Beyond enhancing technical skills, these programs foster the importance of networking and personal development. While traditional coursework provides a solid foundation, engaging in research demonstrates a student’s ability to excel beyond standard activities and showcases a genuine passion for their field.

I believe hands-on experiences like this also demonstrate your commitment to doing excellent work and your proactive approach to learning. Overall, being part of these programs enriches your educational experience and sets you up for success in the future.