Rahul Rai

Associate Professor

Research Area: Design and Optimization

Contact Information

244 Bell Hall

716-645-1451

rahulrai@buffalo.edu

Education

Ph.D., Mechanical Engineering, University of Texas at Austin, 2006

Research Interests

Digital Manufacturing, Engineering Design, Machine Learning, Computational Geometry, Uncertainty Quantification in Complex System Design, Additive Manufacturing, Applied Ontology, Multimodal Intuitive Interfaces for Conceptual CAD, Optimization, Metamodeling and DoE.

Selected Publications

  • [J1] B Zhang, N. Adurthi, R. Rai, and P. Singla “A novel sampling technique for probabilistic static coverage problems,” Journal of Mechanical Design, vol. 138, no. 3, 2016
  • [J2] P. Jaiswal, J Huang, and R. Rai, “Assembly based conceptual 3D modeling with unlabeled components using probabilistic factor graph” Computer Aided Design, vol. 74, no. 1, pp. 45-54, 2016.
  • [J3] R. Rai and A.V. Deshpande, “Fragmentary shape recognition: A BCI study,” Computer Aided Design, vol. 71, no. 1, pp. 51-64, 2016.
  • [J4] R. Rai et al., “New perspectives on design automation,” Journal of Mechanical Design, vol. 137, no. 5, 2015
  • [J5] SS, Shanker and R. Rai, “Human factors study on the usage of BCI headset for 3D CAD modeling,” Computer Aided Design, vol. 54, no. 1, pp. 51-55, 2014.
  • [J6] M. Campbell, R. Rai, and T. Kurtoglu, “A stochastic graph grammar algorithm for inter- active search,” ASME Journal of Computing and Information Science in Engineering, vol. 12, no. 3, pp. 031006, 2012.
  • [J7] X. Chang, R. Rai, and J. Terpenny, “Development and utilization of ontologies in design for manufacturing,” Journal of Mechanical Design, vol. 132, p. 021 009, 2010.
  • [J8] R. Rai and M. Campbell, “Q2s2: a new methodology for merging quantitative and qualitative information in experimental design,” Journal of Mechanical Design, vol. 130, no. 3, p. 031 103, 2008.