Chetan Arora

Registered user since Tue 19 Mar 2019

Name:Chetan Arora
Bio:

Dr Chetan Arora is a Senior Lecturer in Software Engineering and Academic Director Research at Deakin University Australia. Prior to his position at the Deakin University, he was working in Innovation Programs at SES Satellites in Luxembourg on project and technical management across several EU-H2020 and European Space Agency (ESA) projects on IoT and SatCom for disaster management, and applications of AI in SatCom software. His research-background is in the applications of AI, i.e., Natural Language Processing (NLP) and Machine Learning (ML) for software reliability and trustworthiness. He received his PhD from the University of Luxembourg (Luxembourg) and Masters from Technische Universit├Ąt Kaiserslautern (Germany).

Affiliation:Deakin University
Research interests:Software Engineering, Requirements Engineering, applied NLP and ML, Internet of Things

Contributions

ASE 2021 Late/breaking results chairs in Late Breaking Results Chair within the Late Breaking Results-track
Late/breaking results chairs in Organizing Committee
ICSE 2023 Social & Networking Events Co-chairs in Organising Committee
RE2021 Committee Member in Program Committee within the Industrial Innovation Papers-track
ASE 2020 Panelist of Panel Session: Human-centric software engineering, past, present and future within the [Workshop] HCSE&CS-track
Proceedings Chair in Organizing Committee
SEAMS 2020 Author of Dynamic Adaptation of Software-defined Networks for IoT Systems: A Search-based Approach within the SEAMS 2020-track
ICSE 2021 Author of Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements within the Technical Track-track
Author of MAANA: An Automated Tool for DoMAin-specific HANdling of Ambiguity within the AE - Artifact Evaluation-track
ICSE 2020 Judge in Judge within the ACM Student Research Competition-track
ICSE 2019 Author of An Active Learning Approach for Improving the Accuracy of Automated Domain Model Extraction within the Journal-First Papers-track