معرفی
Rajiv Garg serves as Associate Professor of Information Systems & Operations Management at Emory University's Goizueta Business School. His research employs cross-disciplinary economic and computational methods to analyze digital platforms and networked information systems, with significant contributions to understanding digital content diffusion, marketing strategies, labor market impacts, and emerging technology valuation.
His educational credentials include:
- PhD in Information Systems & Management, Carnegie Mellon University
- M.Phil. in Public Policy & Management, Carnegie Mellon University
- MS in Computer Science (Databases & Networks), University of Southern California
- MS in Electrical Engineering (Robotics & Intelligent Systems), University of Southern California
- B.Tech. in Electrical Engineering, Indian Institute of Technology, Banaras Hindu University
Professor Garg's research focuses on four interconnected domains: digital content diffusion across networks; social/mobile commerce marketing strategies; technology's role in labor markets and entrepreneurship; and business value extraction from blockchain, NFT, IoT, and AR/VR data streams. His work has secured over $1M in research funding and appears in premier journals including Management Science, MIS Quarterly, and Information Systems Research, with findings covered by Forbes, Fortune, and major news networks.
He actively contributes to public policy through service on the US AI Safety Institute task force and has advised numerous organizations on data-driven strategies. As an educator, he developed courses in big data analytics, digital transformation, and interactive marketing while founding the Texas Workshop on Social and Business Analytics and the Goizueta Doctoral Research Conference.
Prior academic appointments include The University of Texas at Austin, with industry experience at National Instruments, Jacobs Engineering, JPL, and Infosys. Recognized for over a decade of engineering contributions, he holds IEEE Senior Member status.

