Full-time Internship
Research internship focused on developing Graph Neural Network methodologies for clinical applications in Alzheimer's disease research.
Key Contributions:
Developed causal explanation framework for Mild Cognitive Impairment progression using GNNs • Collaborated with world-renowned expert Dr. Ronald C. Petersen • Published research findings at IEEE BIBM 2024 • Applied temporal patient data analysis including chronic diseases, biomarkers, and genetic information
Illinois Institute of Technology, Department of Computer Science
Graduate Assistantship
Supporting undergraduate and graduate courses through grading, mentoring, and educational assistance.
Courses Supported:
CS401: Introduction to Data Structures (Java) • CS528: Data Privacy and Security • Programming assignments evaluation and final project assessment • Student mentoring and office hours
Editorial Service
Contributing to peer review process and editorial decisions for interdisciplinary research at the intersection of lifestyle medicine and data science.
Responsibilities:
Manuscript review and evaluation • Editorial oversight for AI/ML applications in healthcare • Contributing expertise in computational approaches to lifestyle medicine research
Multiple High-Impact Journals
Review Service
Providing expert peer review for leading publications in healthcare, AI, and interdisciplinary research.
Jahad-Daneshgahi, Tehran, Iran
Contract Position
Founded and delivered Iran's first comprehensive Deep Learning/Neural Network educational program, pioneering AI education in the region.
Teaching Portfolio:
200+ hours of instruction in Machine Learning and Data Mining • Python and R programming languages • Curriculum development for emerging AI technologies • Student mentorship and career guidance