Milad Shirani
About Milad Shirani
Milad Shirani is a Postdoctoral Associate at Yale University, specializing in variational optimization and machine learning for 3D printed materials. He holds a PhD in Mechanical Engineering from the University of California, Berkeley, and has extensive experience in data modeling and statistical analysis.
Work at Yale University
Milad Shirani has been working as a Postdoctoral Associate at Yale University since 2023. In this role, he engages in advanced research projects, focusing on the application of machine learning and optimization techniques. His work contributes to the academic community at Yale, where he collaborates with researchers and students to explore innovative solutions in engineering and data science.
Education and Expertise
Milad Shirani holds a Doctor of Philosophy (PhD) in Mechanical Engineering from the University of California, Berkeley, where he studied from 2016 to 2023. He also earned a Master of Science (MS) in Mechanical Engineering from Isfahan University of Technology between 2010 and 2013, and a Bachelor of Science (BS) in the same field from 2005 to 2009. His educational background equips him with a strong foundation in data modeling, statistical analysis, and deep learning.
Research Experience
Throughout his academic career, Milad Shirani has held various research and teaching assistant positions. He worked at the University of California, Berkeley from 2016 to 2023, and at Penn State University from 2014 to 2016. Additionally, he served as a research and teaching assistant at Isfahan University of Technology from 2008 to 2013. His research includes developing variational optimization approaches for 3D printed materials and collaborating with international research teams.
Technical Skills and Tools
Milad Shirani possesses a range of technical skills relevant to his research and professional work. He utilizes tools such as TensorFlow, PyTorch, SciKit-Learn, Matplotlib, Seaborn, NumPy, Git, and GitHub. His expertise extends to data acquisition, deep learning, natural language processing, and converting complex business problems into mathematical equations for resolution using machine learning techniques.
Publications and Collaborations
Milad Shirani has published research results in prestigious scientific journals as part of collaborative research teams. His work often involves managing collaborations with members from multiple universities worldwide, demonstrating his ability to propose innovative research ideas and work effectively in diverse teams.