معرفی
Ashif Iquebal is an Assistant Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering (CIDSE). His research focuses on smart manufacturing, data science, and advanced manufacturing technologies, particularly addressing challenges in materials-on-demand manufacturing. He holds a PhD in Industrial and Systems Engineering from Texas A&M University, along with an M.S. in Statistics and a B.Tech from IIT Kharagpur. His work emphasizes integration of IIoT, embedded sensors, and data science methods like streaming analytics and unsupervised learning.
Key research interests include change point detection for streaming data, unsupervised image segmentation, and leveraging machine learning for manufacturing quality control. His contributions have been recognized through awards such as the IISE Pritsker Dissertation Award (3rd place, 2021) and multiple best student paper/poster awards at INFORMS and IISE conferences. He collaborates with institutions like Mayo Clinic on projects involving breast cancer diagnosis and segmentation using AI.
Teaching responsibilities include courses on Advanced Quality Control and ASU Experience programs. His research has led to publications in top journals like IEEE Transactions on Signal Processing and Pattern Analysis and Machine Intelligence, focusing on topics spanning material characterization, process optimization, and AI-driven manufacturing solutions.
