Sustainable software architecture
Architectural tactics, quality attributes, and adaptation strategies for reducing the environmental impact of software-intensive systems.
Research & teaching
Architecting sustainable and AI-enabled software systems.
My research asks how architectural decisions can help intelligent systems remain adaptable, dependable, and responsible over time.
Research
Current areas of inquiry
Based at the Software Engineering Research Center, IIIT Hyderabad, with an association to the Smart City Living Lab leadership team.
Engineering AI-enabled systems
Practices and design decisions for developing systems that integrate machine-learning and generative-AI components.
Self-adaptive systems
Using AI techniques to help software respond to changing quality-of-service requirements and operating conditions.
Continue exploring
Each area now has its own page.
Selected work
Publications
-
2025
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
Chandrasekar Sridhar, Vyakhya Gupta, Prakhar Jain, Karthik Vaidhyanathan
CoRR
-
2025
Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Kannan Parthasarathy, Karthik Vaidhyanathan, Rudra Dhar, Venkat Krishnamachari, Basil Muhammed, Adyansh Kakran, Sreemaee Akshathala, Shrikara Arun, Sumant Dubey, Mohan Veerubhotla, Amey Karan
CoRR
-
2024
Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study
Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma
21st IEEE International Conference on Software Architecture, ICSA 2024, Hyderabad, India, June 4-8, 2024
-
2024
EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems
Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan
21st IEEE International Conference on Software Architecture, ICSA 2024 - Companion, Hyderabad, India, June 4-8, 2024
-
2023
Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan
38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, Luxembourg, September 11-15, 2023
-
2021
Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Henry Muccini, Karthik Vaidhyanathan
1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN@ICSE 2021, Madrid, Spain, May 30-31, 2021
Teaching
Learning through architectural reasoning
I teach software engineering and architecture with an emphasis on reasoning about trade-offs, quality attributes, and the social and environmental consequences of technical decisions.
My supervision interests include software architecture, AI engineering, self-adaptive systems, and sustainable computing.