Volkan Atalay

Volkan Atalay is a Senior Lecturer in the Department of Information Systems and Analytics at the Quinlan School of Business, Loyola University Chicago. He has a strong academic background in computer science and engineering, with extensive experience in teaching, research, and academic service.

Education:

• Ph.D. in Computer Science, Paris Cité University
• M.S. in Electrical and Electronics Engineering, METU
• B.S. in Electrical and Electronics Engineering, METU

His research focuses on machine learning, bioinformatics, and deep learning, particularly in developing computational tools for biomolecular data analysis. He applies dimensionality reduction, clustering, and deep architectures to solve systems-level biological problems and energy forecasting. His interdisciplinary work bridges computer science with biological and business applications.

The recent publications highlight a strong trend in AI-driven bioinformatics, especially in drug-target interaction and protein binding prediction, as well as hybrid deep learning models for energy forecasting and data stream clustering. These works demonstrate expertise in both theoretical algorithm development and practical software implementation.

Professional Affiliations:

• Associate Editor, Signal, Image and Video Processing
• Member, International Society for Computational Biology (ISCB)

Dr. Atalay has supervised research, served as a referee for top journals and conferences, and led teams developing web-based prediction systems and software tools. His code and datasets are publicly available on GitHub, reflecting a commitment to open science. He has taught courses such as Business Statistics, Project Management, and Business Information Systems, contributing to business analytics education.

Labs and Research Groups:

His work is associated with computational biology and AI research environments, with software development practices aligned with modern data science labs. While not explicitly named, his projects reflect collaboration with bioinformatics and machine learning research teams.