activity
20202025
most citedModeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2025

Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization

Saravanan Krishnan, Amith Singhee, Keerthi Narayan Raghunath +3

Industries such as banking, telecom, and airlines - o6en have large so6ware systems that are several decades old. Many of these systems are written in old programming languages suc…

cs.SE2024

CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs

Alex Mathai, Kranthi Sedamaki, Debeshee Das +4

Machine Learning (ML) for software engineering (SE) has gained prominence due to its ability to significantly enhance the performance of various SE applications. This progress is l…

cs.SE2023

COMEX: A Tool for Generating Customized Source Code Representations

Debeshee Das, Noble Saji Mathews, Alex Mathai +4

Learning effective representations of source code is critical for any Machine Learning for Software Engineering (ML4SE) system. Inspired by natural language processing, large langu…

cs.NI2021★ 3 cited

Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation

Sharat Chandra Madanapalli, Alex Mathai, Hassan Habibi Gharakheili +1

Social media, professional sports, and video games are driving rapid growth in live video streaming, on platforms such as Twitch and YouTube Live. Live streaming experience is very…

cs.SE2021

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai +1

Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice…

cs.AI2020★ 2 cited

Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks

Alex Mathai, Shreya Khare, Srikanth Tamilselvam +1

We propose a novel genetic-algorithm technique that generates black-box adversarial examples which successfully fool neural network based text classifiers. We perform a genetic sea…