Scalability Issues in CORBA. - P. Manjula Rani; A. Vijay Srinivas; D. Janaki Ram (PDSE, 2000)

A model for parallel programming over CORBA. - D. Janaki Ram; A. Vijay Srinivas; P. Manjula Rani (J. Parallel Distributed Comput., 2004)

GDP: A Paradigm for Intertask Communication in Grid Computing Through Distributed Pipes. - D. Janakiram; M. Venkateswara Reddy; A. Vijay Srinivas; M. A. Maluk Mohamed; S. Santosh Kumar (ICDCIT, 2005)

Avalanche Dynamics in Grids: Indications of SOC or HOT? - A. Vijay Srinivas; D. Janakiram; M. Venkateswara Reddy (SOAS, 2005)

Moset: An anonymous remote mobile cluster computing paradigm. - M. A. Maluk Mohamed; A. Vijay Srinivas; D. Janakiram (J. Parallel Distributed Comput., 2005)

A model for characterizing the scalability of distributed systems. - A. Vijay Srinivas; D. Janaki Ram (ACM SIGOPS Oper. Syst. Rev., 2005)

Vishwa: A reconfigurable P2P middleware for Grid Computations. - M. Venkateswara Reddy; A. Vijay Srinivas; Tarun Gopinath; D. Janakiram (ICPP, 2006)

Distributed Wisdom: Designing a Replication Service for Large Peer-to-Peer Data Grids. - A. Vijay Srinivas; M. Venkateswara Reddy; D. Janakiram (IEEE Distributed Syst. Online, 2006)

Scaling a Shared Object Space to the Internet: Case Study of Virat. - A. Vijay Srinivas; D. Janakiram (J. Object Technol., 2006)

Soma: a compositional language for distributed systems. - D. Janakiram; R. Venkateswarlu; A. Vijay Srinivas; A. Uday Kumar (ACM SIGPLAN Notices, 2006)

Data Management in Distributed Systems: A Scalability Taxonomy. - A. Vijay Srinivas; D. Janakiram (Scalable Comput. Pract. Exp., 2007)

A complex system inspired theoretical formalism for data management in Peer-to-Peer grids. - Vijay Srinivas Agneeswaran; Dharanipragada Janakiram (IPDPS, 2008)

Peer-to-Peer Issue Tracking System: Challenges and Solutions. - Vijay Srinivas Agneeswaran; Rammohan Narendula; Karl Aberer (Software Engineering (Workshops), 2008)

Node-Capability-Aware Replica Management for Peer-to-Peer Grids. - Vijay Srinivas Agneeswaran; Dharanipragada Janakiram (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Big-Data - Theoretical, Engineering and Analytics Perspective. - Vijay Srinivas Agneeswaran (BDA, 2012)

Real-Time Analytics for the Healthcare Industry: Arrhythmia Detection. - Vijay Srinivas Agneeswaran; Joydeb Mukherjee; Ashutosh Gupta; Pranay Tonpay; Jayati Tiwari; Nitin Agarwal (Big Data, 2013)

Paradigms for Realizing Machine Learning Algorithms. - Vijay Srinivas Agneeswaran; Pranay Tonpay; Jayati Tiwary (Big Data, 2013)

Finding Bottleneck in Machine Learning Model Life Cycle. - Chandra Mohan Meena; Sarwesh Suman; Vijay Agneeswaran 001 (OpML, 2020)

From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog. - Pranay Dugar; Rajesh Shreedhar Bhat; Asit Sharad Tarsode; Uddipto Dutta; Kunal Banerjee 001; Anirban Chatterjee; Vijay Srinivas Agneeswaran (CIKM, 2021)

Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment. - Binay Gupta; Anirban Chatterjee; Harika Matha; Kunal Banerjee 001; Lalitdutt Parsai; Vijay Agneeswaran 001 (CoRR, 2021)

Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment. - Binay Gupta; Anirban Chatterjee; Subhadip Paul; Harika Matha; Lalitdutt Parsai; Kunal Banerjee 001; Vijay Agneeswaran 001 (ICAART (3), 2022)

Don't Miss the Fine Print! An Enhanced Framework to Extract Text from Low Resolution Images. - Pranay Dugar; Aditya Vikram; Anirban Chatterjee; Kunal Banerjee 001; Vijay Agneeswaran 001 (VISIGRAPP (5: VISAPP), 2022)

Detecting Concept Drift in the Presence of Sparsity - A Case Study of Automated Change Risk Assessment System. - Vishwas Choudhary; Binay Gupta; Anirban Chatterjee; Subhadip Paul; Kunal Banerjee 001; Vijay Agneeswaran 001 (CoRR, 2022)

Scattering Vision Transformer: Spectral Mixing Matters. - Badri N. Patro; Vijay Agneeswaran 001 (NeurIPS, 2023)

Efficiency 360: Efficient Vision Transformers. - Badri N. Patro; Vijay Srinivas Agneeswaran (CoRR, 2023)

High Significant Fault Detection in Azure Core Workload Insights. - Pranay Lohia; Laurent Boué; Sharath Ranganath; Vijay Agneeswaran 001 (AAAI, 2024)

SPASE: Spatial Saliency Explanation For Time Series Models. - Pranay Lohia; Badri Narayana Patro; Naveen Panwar; Vijay Agneeswaran 001 (ICASSP, 2024)

SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series. - Badri N. Patro; Vijay Srinivas Agneeswaran (CoRR, 2024)

Spectral Convolutional Transformer: Harmonizing Real vs. Complex Multi-View Spectral Operators for Vision Transformer. - Badri N. Patro; Vinay P. Namboodiri; Vijay Srinivas Agneeswaran (CoRR, 2024)

High Significant Fault Detection in Azure Core Workload Insights. - Pranay Lohia; Laurent Boué; Sharath Kumar Rangappa; Vijay Agneeswaran 001 (CoRR, 2024)

Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges. - Badri Narayana Patro; Vijay Srinivas Agneeswaran (CoRR, 2024)

SiMBA-TS: Simplified Channel Mixing and Mamba for Long-term Time Series Forecasting. - Badri Narayana Patro; Vijay Srinivas Agneeswaran (ICASSP, 2025)

SpectFormer: Frequency and Attention is what you need in a Vision Transformer. - Badri N. Patro; Vinay P. Namboodiri; Vijay Srinivas Agneeswaran (WACV, 2025)