Kavita Bala
Scholar

Kavita Bala

Google Scholar ID: Rh16nsIAAAAJ
Cornell University
computer graphicscomputer vision
Citations & Impact
All-time
Citations
6,829
 
H-index
36
 
i10-index
77
 
Publications
20
 
Co-authors
63
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Fellow, American Academy of Arts & Sciences (2025); SIGGRAPH 2025 Test-of-time Award; IIT Bombay Distinguished Alumnus Award (2021); ACM SIGGRAPH Computer Graphics Achievement Award (2020); ACM SIGGRAPH Academy (2020); ACM Fellow (2019); Fiona Ip Li '78 and Donald Li '75 Excellence in Teaching Award, College of Engineering (2015); Best Paper Award, Computational Aesthetics (2014); CACM Research Highlight (2014, 2009); James and Mary Tien Excellence in Teaching Award, College of Engineering (2009, 2006); Affinito-Stewart Award, PCCW (2005); MIT EECS Masters Award (1995). Published several key papers, such as 'Towards LLM Agents for Earth Observation', 'DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery', and more.
Research Experience
  • Serves as Provost and Professor of Computer Science at Cornell University. Supervised multiple PhD students such as Lekha Revankar, Rajeev Datta, and others.
Education
  • Doctor of Philosophy (PhD), EECS, Massachusetts Institute of Technology; Master of Science (SM), EECS, Massachusetts Institute of Technology; Bachelor of Technology (BTech), Computer Science & Engineering, Indian Institute of Technology, Bombay.
Background
  • Research interests span computer vision, computer graphics, and human perception, including material recognition, visual search and detection, material and shape acquisition, fabric modeling, material representation and editing, realistic, physically-based rendering, scalable rendering, translucency perception, material and lighting perception.
Miscellany
  • Delivered several talks to a broad audience, including CVPR Keynote (2022), Stanford Human AI Spring Conference Keynote (2022), Eurographics Keynote (2020). Featured in various media interviews and coverage, including ACM Member, LDV, Wired, CNN Tech, and many others.