A feedback-based scheme for improving TCP performance in ad hoc wireless networks. - Kartik Chandran; Sudarshan Raghunathan; Subbarayan Venkatesan; Ravi Prakash 001 (IEEE Wirel. Commun., 2001)

Making a Supercomputer Do What You Want: High-Level Tools for Parallel Programming. - Sudarshan Raghunathan (Comput. Sci. Eng., 2006)

Parallel Computing Algorithms and Applications. - Sudarshan Raghunathan (Comput. Sci. Eng., 2007)

Flexible and Scalable Deep Learning with MMLSpark. - Mark Hamilton; Sudarshan Raghunathan; Akshaya Annavajhala; Danil Kirsanov; Eduardo de Leon; Eli Barzilay; Ilya Matiach; Joe Davison; Maureen Busch; Miruna Oprescu; Ratan Sur; Roope Astala; et al. (PAPIs, 2017)

Semi-Autonomous Laparoscopic Robotic Electro-Surgery with a Novel 3D Endoscope * Research reported in this paper was supported by National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award numbers 1R01EB020610 and R21EB024707. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. - Hanh N. D. Le; Justin D. Opfermann; Michael Kam; Sudarshan Raghunathan; Hamed Saeidi; Simon Léonard; Jin U. Kang; Axel Krieger (ICRA, 2018)

A Confidence-Based Shared Control Strategy for the Smart Tissue Autonomous Robot (STAR). - Hamed Saeidi; Justin D. Opfermann; Michael Kam; Sudarshan Raghunathan; Simon Léonard; Axel Krieger (IROS, 2018)

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales. - Mark Hamilton; Sudarshan Raghunathan; Ilya Matiach; Andrew Schonhoffer; Anand Raman; Eli Barzilay; Minsoo Thigpen; Karthik Rajendran; Janhavi Suresh Mahajan; Courtney Cochrane; Abhiram Eswaran; Ari Green (CoRR, 2018)