Dr. Joydeep Ghosh

Professor

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Biography

Joydeep Ghosh is the Schlumberger Centennial Chair Professor in Electrical and Computer Engineering at the University of Texas at Austin. He joined the faculty in 1988 after completing his B. Tech at IIT Kanpur and Ph.D. at the University of Southern California. Ghosh is the founder and director of the IDEAL (Intelligent Data Exploration and Analysis Lab) and has taught graduate courses on data mining and web analytics, earning recognition as 'Best Professor' multiple times. His research interests focus on data mining, web mining, and responsible AI, with publications exceeding 500 refereed papers and 50 book chapters. He has received notable awards including the IEEE Computer Society Technical Achievement Award and the ICDM Research Contributions Award. Ghosh has consulted for significant corporations, led advanced AI projects at CognitiveScale, and engaged as a speaker at major conferences like KDD and ICML. He plays an active role in professional service, influencing top machine learning and data mining conferences, and has co-organized workshops in diverse computing topics.

Research Interests

Experience

Schlumberger Centennial Chair Professor

1988-01-01 — Present

University of Texas at Austin • Austin, TX

Schlumberger Centennial Chair Professor in Electrical and Computer Engineering, teaching and conducting research in data mining and machine learning.

Awards

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IEEE Computer Society Technical Achievement Award

2015-01-01
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ICDM Research Contributions Award

2020-01-01

Patents

Innovations in AI-driven projects

2018-01-01

Contributed to several advances in machine learning and AI technologies.

http://cognitivescale.com

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.