معرفی
Milad Toutounchian serves as an Assistant Teaching Professor within the Department of Information Science at Drexel University's College of Computing & Informatics (CCI). Prior to joining Drexel, he gained industry experience as a data scientist, lead data science instructor at Make School, and mentor at Springboard's Data Science Career Track. His professional background bridges academic theory with practical industry applications.
Dr. Toutounchian's educational background includes:
- PhD in Electrical Engineering from Simon Fraser University
- BSc in Telecommunication from Sharif University of Technology
His primary research interests lie in applied machine learning and deep learning, with a focus on real-world problem solving. Recent work explores AI-driven medical diagnostics, particularly in breast cancer detection using multi-scale and multi-view transformer frameworks. Earlier research addressed signal processing challenges in wireless communications, including beamforming for MIMO systems and cognitive radio networks. This evolution highlights a transition from communications engineering to data science applications in healthcare.
Analysis of his publication history reveals a clear shift in research focus. From 2010 to 2016, his work centered on wireless communications and signal processing, contributing to MIMO systems and beamforming techniques. Since 2023, he has pivoted toward healthcare applications of AI, developing deep learning frameworks for human-centric breast cancer diagnostics. This trajectory demonstrates adaptability across technical domains while maintaining core expertise in machine learning methodologies.
No scientific awards or major honors were documented in the available information.
While his biography notes teaching responsibilities and industry mentoring experience, specific details about graduate student advising or research grants were not provided in the source material.
No information regarding laboratory affiliations, research teams, or collaborative groups was mentioned.
