Karthik Vaidhyanathan

Orcid: 0000-0003-2317-6175

Affiliations:
  • IIIT-Hyderabad, India
  • University of L'Aquila, Italy


According to our database1, Karthik Vaidhyanathan authored at least 34 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Engineering End-to-End Remote Labs Using IoT-Based Retrofitting.
IEEE Access, 2025

2024
Engineering End-to-End Remote Labs using IoT-based Retrofitting.
CoRR, 2024

SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024

ML-enabled Service Discovery for Microservice Architecture: a QoS Approach.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

POSEIDON: Efficient Function Placement at the Edge Using Deep Reinforcement Learning.
Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Architecting Digital Twin for Smart City Systems: A Case Study.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Reimagining Self-Adaptation in the Age of Large Language Models.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Leveraging Generative AI for Architecture Knowledge Management.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

Towards Architecting Sustainable MLOps: A Self-Adaptation Approach.
Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

2023
Emoticontrol: Emotions-based Control of User-Interfaces Adaptations.
Proc. ACM Hum. Comput. Interact., June, 2023

Software Architecture and Machine Learning (Dagstuhl Seminar 23302).
Dagstuhl Reports, 2023

Scalable and Interoperable Distributed Architecture for IoT in Smart Cities.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Software Architecture for Multi-User Multiplexing to Enhance Scalability in IoT-Based Remote Labs.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Toward Changing Users behavior with Emotion-based Adaptive Systems.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism.
Proceedings of the Artificial Intelligence in HCI, 2023

A Tool based Experiment to Teach Elicitation and Specification of Virtual Reality Product Requirements.
Proceedings of the ACM Conference on Global Computing Education Vol 2, 2023

2022
Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience.
IEEE Softw., 2022

FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021
Architecture Design for Human-Driven Systems.
CoRR, 2021

A Service for Supporting Digital and Immersive Cultural Experiences.
CoRR, 2021

A User-driven Adaptation Approach for Microservice-based IoT Applications.
Proceedings of the IoT '21: 11th International Conference on the Internet of Things, St. Gallen, Switzerland, November 8, 2021

Software Architecture for ML-based Systems: What Exists and What Lies Ahead.
Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

A Machine Learning Approach to Service Discovery for Microservice Architectures.
Proceedings of the Software Architecture - 15th European Conference, 2021

Human Behavior-Oriented Architectural Design.
Proceedings of the Software Architecture - 15th European Conference, 2021

2020
Towards Self-Learnable Software Architectures.
ERCIM News, 2020

Leveraging Machine Learning Techniques for Architecting Self-Adaptive IoT Systems.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Data-driven Adaptation in Microservice-based IoT Architectures.
Proceedings of the 2020 IEEE International Conference on Software Architecture Companion, 2020

Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems.
Proceedings of the 2020 IEEE International Conference on Software Architecture, 2020

2019
A Machine Learning-Driven Approach for Proactive Decision Making in Adaptive Architectures.
Proceedings of the IEEE International Conference on Software Architecture Companion, 2019

ArchLearner: leveraging machine-learning techniques for proactive architectural adaptation.
Proceedings of the 13th European Conference on Software Architecture, 2019


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