Tatiana Rudchenko

Tatiana Rudchenko is a Senior Lecturer in the Department of Operations Management at the Scheller College of Business, Georgia Institute of Technology. She specializes in quantitative analysis, management statistics, and innovative teaching methodologies. Her work bridges operations management with cutting-edge educational technology, including the integration of AI tools like ChatGPT into the classroom.

Education:

• Ph.D. in Mathematics, Voronezh State Technological Academy, Russia (2006)
• Bachelor of Business Administration in Finance (with Honors), Voronezh State University, Russia (1999)

Dr. Rudchenko's research focuses on innovative pedagogy, particularly the impact of generative AI and interactive video quizzing on student engagement and learning outcomes. She explores how digital tools influence student well-being and academic performance in quantitative business courses. Her work in operations research includes modeling supply chain delivery performance and optimizing logistics systems using advanced statistical distributions.

Her recent publications reflect a dual focus: advancing pedagogical practices in business education and improving operational efficiency in supply chains. Themes include experiential learning, technology integration, and data-driven decision-making in both educational and industrial contexts.

Scientific Awards and Recognitions:

• Brady Family Award for Faculty Teaching Excellence
• Curriculum Innovation Award, Center for Teaching and Learning, Georgia Tech
• Multiple Class of 1934 CIOS Honor Roll recognitions (2021–2023)
• Best Paper Award, Distance Teaching and Learning Conference (2022)
• Lecture of the Year, Core Business Courses (2019)
• 21 Georgia Tech 'Thank a Teacher' Certificates
• Recognition at the 2023 Decision Science Conference for Chairing 'Professor of Practice Showcase'

Dr. Rudchenko has secured multiple grants supporting teaching innovation, including the Provost Teaching and Learning Initiatives Grant (2024–2025) for integrating generative AI into quantitative courses and several TTL Faculty Grants. She mentors PhD students, leads faculty onboarding programs, and presents at major educational conferences such as DSI and USG Teaching & Learning Conference. Her leadership in the Teaching with Technology Partnership Program has led to the development of video quizzing systems and AI-enhanced learning modules.

She has been instrumental in organizing workshops and panel discussions on student well-being, AI in education, and technology integration. Notable events include sessions at the DSI Annual Conference, InteractUSG, and Georgia Tech’s Celebrating Teaching Day. She co-leads initiatives focused on supporting student mental health through flexible and innovative pedagogy.