On splittable and unsplittable flow capacitated network design arc-set polyhedra. - Alper Atamtürk; Deepak Rajan (Math. Program., 2002)

A directed cycle-based column-and-cut generation method for capacitated survivable network design. - Deepak Rajan; Alper Atamtürk (Networks, 2004)

Discovering Partial Orders in Binary Data. - Deepak Rajan; Philip S. Yu (ICDM, 2006)

On Temperature-Aware Scheduling for Single-Processor Systems. - Deepak Rajan; Philip S. Yu (HiPC, 2007)

Ownership protection of shape datasets with geodesic distance preservation. - Michail Vlachos; Claudio Lucchese; Deepak Rajan; Philip S. Yu (EDBT, 2008)

Rights Protection of Trajectory Datasets. - Claudio Lucchese; Michail Vlachos; Deepak Rajan; Philip S. Yu (ICDE, 2008)

SODA: An Optimizing Scheduler for Large-Scale Stream-Based Distributed Computer Systems. - Joel L. Wolf; Nikhil Bansal 001; Kirsten Hildrum; Sujay S. Parekh; Deepak Rajan; Rohit Wagle; Kun-Lung Wu; Lisa Fleischer (Middleware, 2008)

Temperature-Aware Scheduling: When is System-Throttling Good Enough? - Deepak Rajan; Philip S. Yu (WAIM, 2008)

Partition inequalities for capacitated survivable network design based on directed p-cycles. - Alper Atamtürk; Deepak Rajan (Discret. Optim., 2008)

Characterizing, constructing and managing resource usage profiles of system S applications: challenges and experience. - Sujay S. Parekh; Kirsten Hildrum; Deepak Rajan; Joel L. Wolf; Kun-Lung Wu (CIKM, 2009)

Bounded Size Graph Clustering with Applications to Stream Processing. - Rohit Khandekar; Kirsten Hildrum; Sujay S. Parekh; Deepak Rajan; Jay Sethuraman; Joel L. Wolf (FSTTCS, 2009)

Job Admission and Resource Allocation in Distributed Streaming Systems. - Joel L. Wolf; Nikhil Bansal 001; Kirsten Hildrum; Sujay S. Parekh; Deepak Rajan; Rohit Wagle; Kun-Lung Wu (JSSPP, 2009)

COLA: Optimizing Stream Processing Applications via Graph Partitioning. - Rohit Khandekar; Kirsten Hildrum; Sujay S. Parekh; Deepak Rajan; Joel L. Wolf; Kun-Lung Wu; Henrique Andrade; Bugra Gedik (Middleware, 2009)

FLEX: A Slot Allocation Scheduling Optimizer for MapReduce Workloads. - Joel L. Wolf; Deepak Rajan; Kirsten Hildrum; Rohit Khandekar; Vibhore Kumar; Sujay S. Parekh; Kun-Lung Wu; Andrey Balmin (Middleware, 2010)

Rights protection of trajectory datasets with nearest-neighbor preservation. - Claudio Lucchese; Michail Vlachos; Deepak Rajan; Philip S. Yu (VLDB J., 2010)

Scheduling with Setup Costs and Monotone Penalties. - Rohit Khandekar; Kirsten Hildrum; Deepak Rajan; Joel L. Wolf (FSTTCS, 2012)

PREPARE: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems. - Yongmin Tan; Hiep Nguyen; Zhiming Shen; Xiaohui Gu; Chitra Venkatramani; Deepak Rajan (ICDCS, 2012)

CIRCUMFLEX: a scheduling optimizer for MapReduce workloads with shared scans. - Joel L. Wolf; Andrey Balmin; Deepak Rajan; Kirsten Hildrum; Rohit Khandekar; Sujay S. Parekh; Kun-Lung Wu; Rares Vernica (ACM SIGOPS Oper. Syst. Rev., 2012)

On the optimization of schedules for MapReduce workloads in the presence of shared scans. - Joel L. Wolf; Andrey Balmin; Deepak Rajan; Kirsten Hildrum; Rohit Khandekar; Sujay S. Parekh; Kun-Lung Wu; Rares Vernica (VLDB J., 2012)

Optimal hierarchical layouts for cache-oblivious search trees. - Peter Lindstrom 001; Deepak Rajan (ICDE, 2014)

Fast Nearest Neighbor Search on Large Time-Evolving Graphs. - Leman Akoglu; Rohit Khandekar; Vibhore Kumar; Srinivasan Parthasarathy 002; Deepak Rajan; Kun-Lung Wu (ECML/PKDD (1), 2014)

Parallel Strategies for Solving Large Unit Commitment Problems in the California ISO Planning Model. - Guojing Cong; Carol Meyers; Deepak Rajan; Tiziano Parriani (IPDPS, 2015)

PIPS-SBB: A Parallel Distributed-Memory Branch-and-Bound Algorithm for Stochastic Mixed-Integer Programs. - Lluís-Miquel Munguía; Geoffrey Oxberry; Deepak Rajan (IPDPS Workshops, 2016)

Scenario Decomposition for 0-1 Stochastic Programs: Improvements and Asynchronous Implementation. - Kevin Ryan; Deepak Rajan; Shabbir Ahmed 001 (IPDPS Workshops, 2016)

A polyhedral study of production ramping. - Pelin Damci-Kurt; Simge Küçükyavuz; Deepak Rajan; Alper Atamtürk (Math. Program., 2016)

Byzantine-Resilient locally optimum detection using collaborative autonomous networks. - Bhavya Kailkhura; Priyadip Ray; Deepak Rajan; Anton Yen; Peter D. Barnes Jr.; Ryan A. Goldhahn (CAMSAP, 2017)

A Stochastic Program for Black Start Allocation. - Georgios Patsakis; Ignacio Aravena; Deepak Rajan (HICSS, 2019)

Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs. - Lluís-Miquel Munguía; Geoffrey Oxberry; Deepak Rajan; Yuji Shinano (Comput. Optim. Appl., 2019)

Sequential optimal positioning of mobile sensors using mutual information. - Kathleen L. Schmidt; Ralph C. Smith; Jason M. Hite; John K. Mattingly; Yousry Y. Azmy; Deepak Rajan; Ryan A. Goldhahn (Stat. Anal. Data Min., 2019)

Optimization-Driven Scenario Grouping. - Kevin Ryan; Shabbir Ahmed 001; Santanu S. Dey; Deepak Rajan; Amelia Musselman; Jean-Paul Watson (INFORMS J. Comput., 2020)

Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. - Jose Cadena; Priyadip Ray; Hao Chen 001; Braden Soper; Deepak Rajan; Anton Yen; Ryan A. Goldhahn (IEEE Trans. Signal Process., 2021)