Ashok Srinivasan

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 14

Top Topics

Risk Assessment

Neurodegenerative Diseases

Top Venues

Publications

Elisa Warner, Joonsang Lee, Santhoshi Krishnan, Nicholas Wang, Shariq Mohammed, Ashok Srinivasan, Jayapalli R. Bapuraj, Arvind Rao
Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. EMBC (2023)
Sevcan Turk, Kaya Oguz, Mehmet Orman, Emre Çaliskan, Yesim Ertan, Erkin Ozgiray, Taner Akalin, Ashok Srinivasan, Omer Kitis
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis. CoRR (2022)
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty
High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. 11 (1) (2021)
Barry Sly-Delgado, Meysam Ghaffari, Aastha Gunjan, Cynthia Brandt, Joseph L. Goulet, Karen H. Wang, Ashok Srinivasan
Leveraging Location Based Services for Analysis of Suicides in Rural Counties. AMIA (2020)
Mehran Sadeghi Lahijani, Tasvirul Islam, Ashok Srinivasan, Sirish Namilae
Constrained Linear Movement Model (CALM): Simulation of passenger movement in airplanes. CoRR (2019)
Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. CoRR (2019)
Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan
Next-generation high-resolution vector-borne disease risk assessment. ASONAM (2019)
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
High-resolution home location prediction from tweets using deep learning with dynamic structure. CoRR (2019)
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
High-resolution home location prediction from tweets using deep learning with dynamic structure. ASONAM (2019)
Sudheer Chunduri, Meysam Ghaffari, Mehran Sadeghi Lahijani, Ashok Srinivasan, Sirish Namilae
Parallel Low Discrepancy Parameter Sweep for Public Health Policy. CCGrid (2018)
Negar Farzaneh, S. M. Reza Soroushmehr, Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli R. Bapuraj, Kevin R. Ward, Frederick K. Korley, Kayvan Najarian
Automated subdural hematoma segmentation for traumatic brain injured (TBI) patients. EMBC (2017)
Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei, Chuan Zhou, Mark Prince, Silvana Papagerakis
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. Medical Imaging: Computer-Aided Diagnosis (2017)
Ashok Srinivasan, C. Devi Sudheer, Sirish Namilae
Optimizing Massively Parallel Simulations of Infection Spread Through Air-Travel for Policy Analysis. CCGrid (2016)
C. Devi Sudheer, Ashok Srinivasan
Efficient Barrier Implementation on the POWER8 Processor. HiPC (2015)
C. Devi Sudheer, S. Krishnan, Ashok Srinivasan, P. R. C. Kent
Dynamic load balancing for petascale quantum Monte Carlo applications: The Alias method. Comput. Phys. Commun. 184 (2) (2013)
C. Devi Sudheer, Ashok Srinivasan
Optimization of the hop-byte metric for effective topology aware mapping. HiPC (2012)
Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan
Reuse and Refactoring of GPU Kernels to Design Complex Applications. ISPA (2012)
Yanan Yu, Ashok Srinivasan
Hybrid dynamic iterations for the solution of initial value problems. J. Parallel Distributed Comput. 71 (11) (2011)
S. Mitra, Ashok Srinivasan
Small Discrete Fourier Transforms on GPUs. CCGRID (2011)
Chi Zhang, Xin Yuan, Ashok Srinivasan
Processor affinity and MPI performance on SMP-CMP clusters. IPDPS Workshops (2010)
C. Devi Sudheer, T. Nagaraju, Pallav K. Baruah, Ashok Srinivasan
Optimizing assignment of threads to SPEs on the cell BE processor. IPDPS (2009)
Yanan Yu, Ashok Srinivasan
Dynamic iterations for the solution of ordinary differential equations on multicore processors. IPDPS (2009)
Pranab Majumder, Ashok Srinivasan
Leadership and Competition in Network Supply Chains. Manag. Sci. 54 (6) (2008)
Arun Kumar, Naresh Jayam, Ashok Srinivasan, Ganapathy Senthilkumar, Pallav K. Baruah, Shakti Kapoor, Murali Krishna, Raghunath Sharma
architecture. SPAA (2007)
Lei Ji, Hugh Nymeyer, Ashok Srinivasan, Yanan Yu
Data-Driven Time-Parallelization in the AFM Simulation of Proteins. IPDPS (2007)
Murali Krishna, Arun Kumar, Naresh Jayam, Ganapathy Senthilkumar, Pallav K. Baruah, Raghunath Sharma, Shakti Kapoor, Ashok Srinivasan
Architecture. ISPA (2007)
M. K. Velamati, Arun Kumar, Naresh Jayam, Ganapathy Senthilkumar, Pallav K. Baruah, Raghunath Sharma, Shakti Kapoor, Ashok Srinivasan
Optimization of Collective Communication in Intra-cell MPI. HiPC (2007)
Arun Kumar, Ganapathy Senthilkumar, Murali Krishna, Naresh Jayam, Pallav K. Baruah, Raghunath Sharma, Ashok Srinivasan, Shakti Kapoor
Processor. International Conference on Computational Science (1) (2007)
Lei Ji, Yanan Yu, Namas Chandra, Hugh Nymeyer, Ashok Srinivasan
Poster reception - Data-driven time parallelization. SC (2006)
Yanan Yu, Ashok Srinivasan, Namas Chandra
Scalable Time-Parallelization of Molecular Dynamics Simulations in Nano Mechanics. ICPP (2006)
Ashok Srinivasan, Namas Chandra
Latency tolerance through parallelization of time in scientific applications. Parallel Comput. 31 (7) (2005)
Ashok Srinivasan, Yanan Yu, Namas Chandra
Application of Reduce Order Modeling to Time Parallelization. HiPC (2005)
Jyoti Kolhe, Usha Chandra, Sirish Namilae, Ashok Srinivasan, Namas Chandra
Parallel Simulation of Carbon Nanotube Based Composites. HiPC (2004)
Michael Mascagni, Ashok Srinivasan
Parameterizing parallel multiplicative lagged-Fibonacci generators. Parallel Comput. 30 (5-6) (2004)
Ashok Srinivasan, Namas Chandra
Latency Tolerance through Parallelization of Time in Scientific Applications. IPDPS (2004)
Ashok Srinivasan, Michael Mascagni, David Ceperley
Testing parallel random number generators. Parallel Comput. 29 (1) (2003)
Ashok Srinivasan, Vikram Aggarwal
Improved Monte Carlo Linear Solvers Through Non-diagonal Splitting. ICCSA (3) (2003)
Ashok Srinivasan
Parallel and Distributed Computing Issues in Pricing Financial Derivatives through Quasi Monte Carlo. IPDPS (2002)
Ashok Srinivasan, Michael Mascagni
Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications. International Conference on Computational Science (2) (2002)
Ömer Eugeciouglu, Ashok Srinivasan
Efficient Nonparametric Density Estimation on the Sphere with Applications in Fluid Mechanics. SIAM J. Sci. Comput. 22 (1) (2000)
Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang
Image compression for fast wavelet-based subregion retrieval. Theor. Comput. Sci. 240 (2) (2000)
Michael Mascagni, Ashok Srinivasan
Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. ACM Trans. Math. Softw. 26 (3) (2000)
Michael Mascagni, Ashok Srinivasan
Corrigendum: Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. ACM Trans. Math. Softw. 26 (4) (2000)
Ashok Srinivasan, Robert P. Strauss
Improving Access to Science and Math Education in Western Pennsylvania. Interfaces 29 (4) (1999)
Muhammad Z. Hydari, David Ceperley, Ashok Srinivasan, Michael Mascagni
Classical Monte Carlo with a Fast High-Quality Pseudo Random Number Library in Java. PPSC (1999)
Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang
A Compact Storage Scheme for Fast Wavelet-Based Subregion Retrieval. COCOON (1997)
Athanassios S. Poulakidas, Ashok Srinivasan, Ömer Egecioglu, Oscar H. Ibarra, Tao Yang
Experimental Studies on a Compact Storage Scheme for Wavelet-Based Multiresolution Subregion Retrieval. Data Compression Conference (1996)
Ömer Egecioglu, Ashok Srinivasan
Domain Decomposition for Particle Methods on the Sphere. IRREGULAR (1996)
Ömer Egecioglu, Ashok Srinivasan
Optimal Parallel Prefix on Mesh Architectures. Parallel Algorithms Appl. 1 (3) (1993)
Malachy Carey, Ashok Srinivasan
Externalities, Average and Marginal Costs, and Tolls on Congested Networks with Time-Varying Flows. Oper. Res. 41 (1) (1993)