Joydeep Ghosh

Joydeep Ghosh is the Schlumberger Centennial Chair Professor of Electrical and Computer Engineering at The University of Texas at Austin, leading the IDEAL Lab and UT-MINDS. He holds courtesy faculty positions in Biomedical Engineering, Population Health, and McCombs School of Business. Dr. Ghosh earned his B.Tech from IIT Kanpur (1983) and PhD from the University of Southern California (1988). His research focuses on machine learning, data/web mining, scalable analytics, and ethical AI, with applications in healthcare and industry. He has published over 500 papers, co-edited 20 books, and secured funding from NSF, Google, IBM, and others. Notable awards include the 2020 ICDM Research Contribution Award and 2015 IEEE Technical Achievement Award. He advises startups like CognitiveScale and teaches advanced courses in machine learning and data science, consistently recognized as 'Best Professor' by students. His lab collaborates with industry via sponsored research, addressing real-world challenges in AI and data analytics.

Education:

• B.Tech, Electrical Engineering, IIT Kanpur (1983)
• Ph.D., Electrical Engineering, University of Southern California (1988)

Research Interests:

• Predictive and Prescriptive Analytics
• Trustworthy AI/Explainable Machine Learning
• Federated Learning & Privacy-Preserving Techniques
• Health Informatics & Computational Phenotyping
• Scalable Algorithms for Big Data

Grants & Industry Collaboration:

• Sponsored by NSF, Google, IBM, ONR, and others
• Co-founder/Advisor to Accordion Health, CognitiveScale, and Neonyoyo
• IDEAL Lab partnerships with industry for problem-driven research

Labs & Teams:

• IDEAL Lab: Focuses on intelligent data analysis across domains
• UT-MINDS: Engineering Data Science and Machine Learning initiatives