Group

Ramani Duraiswami · Physical Intelligence and Reality Lab, University of Maryland

Current

• Nishit Anand Ph.D., Computer Science
• Aryan Bhosale Computer Science
• Caleb Chang Computer Science
• Siminfar Samakoush Galougah Ph.D., Electrical and Computer Engineering · models of dolphin hearing
• Armin Gerami Ph.D., Computer Science
• Monte Hoover Ph.D., Computer Science · neural mesh generation for boundary element methods
• Kaousheik Jayakumar Computer Science
• Gihan Jayatilaka Ph.D., Computer Science
• Yianni Karabatis Ph.D., Computer Science · co-advised, with Yiannis Aloimonos as primary advisor
• Lasha Koroshinadze Ph.D., Computer Science
• Meenakshi Krishnan Ph.D., Applied Mathematics and Scientific Computation · integral equation methods
• Apoorva Kulkarni Computer Science
• Sonal Kumar Ph.D., Computer Science · multimodal large language models
• Vaibhavi Lokegaonkar Computer Science
• Viet Luong Computer Science
• Siddhi Patil Computer Science
• Pranav Pulijala Ph.D., Computer Science
• Sakshi Ph.D., Computer Science
• Alisha Jane Sharma Ph.D., Computer Science · simulation and deep learning
• Ryan Synk Ph.D., Computer Science · fast algorithms for partial differential equations
• Tianyi Xiong Computer Science
• Bowen Zhi Ph.D., Computer Science · algorithms for computational human audition

Doctoral alumni

• Sreyan Ghosh 2026 · speech and neural activity via deep learning
• Matthew Ziemann 2026 · deep learning and simulation for wireless wave propagation; co-advised, with Christopher Metzler as primary advisor
• Lichang Chen 2025
• Ruolan Leslie Famularo 2025
• Shoken Kaneko 2023 · layer-potential quadrature for the fast multipole method
• Samuel Potter 2021 · numerical geometric acoustics; jointly advised with Maria Cameron. Now at the Courant Institute
• Ross Adelman 2016 · fast and accurate boundary element methods in three dimensions. Now at Amazon
• Yuancheng Luo 2014 · fast numerical and machine learning algorithms for spatial audio. Now at VisiSonics
• Qi Hu 2013 · scientific computing on heterogeneous architectures. Now at Meta
• Balaji Vasan Srinivasan 2011 · scalable learning for geostatistics and speaker recognition. Now at Adobe Research
• Vikas C. Raykar 2007 · scalable algorithms for machine learning. Now at IBM Research
• Zhiyun Li 2005 · acquisition and rendering of virtual audio. Now at Samsung
• Changjiang Yang 2005 · fast multipole methods for density estimation and interpolation; co-advised with Larry S. Davis
• Ali Zandifar 2004 · textual information access for the visually impaired. Co-founder of Gauss Surgical
• Zhihui Tang 2003 · fast transforms based on structured matrices, with applications to the fast multipole method
• Dmitry N. Zotkin 2002 · audio input and display for audio-visual interfaces and virtual reality. Research scientist, UMIACS
• Ahmed Elgammal 2002 · fast Gauss transform for kernel density estimation in vision; co-advised with Larry S. Davis. Now a professor at Rutgers
• Vasanth Philomin 2000 · quasi-random sampling for condensation; co-advised with Larry S. Davis

Ramani Duraiswami's own doctorate was advised by Andrea Prosperetti at Johns Hopkins, 1985–1991.