Karthik Vaidhyanathan
Menu

Research & teaching

Software Architecture, AI and Sustainability

My research asks how architectural decisions can help intelligent systems remain adaptable, dependable, and sustainable. Further, how to leverage AI to architect software systems that are self-sustainable.

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.

01

Sustainable software architecture

Architectural tactics, quality attributes, and adaptation strategies for reducing the environmental impact of software-intensive systems.

02

Engineering AI-enabled systems

Practices and design decisions for developing sustainable AI-enabled systems that integrate ML and/or generative-AI components.

03

Autonomous Software Engineering

AI-enabled Practices and techniques for autonomous architecting, code generaiton and Ops

04

Self-adaptive systems

Using AI techniques (in particular Agentic AI and RL) to help software respond to uncertainities.

Continue exploring

Each area now has its own page.

Research Publications Teaching Students

Selected work

Publications

Complete list on Google Scholar
  1. 2025

    Approach Towards Semi-Automated Certification of Low Criticality ML-Enabled Airborne Applications

    Chandrasekar Sridhar, Vyakhya Gupta, Prakhar Jain, Karthik Vaidhyanathan

    4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2025, Ottawa, ON, Canada, April 27-28, 2025

  2. 2025

    Engineering LLM Powered Multi-Agent Framework for Autonomous CloudOps

    Kannan Parthasarathy, Karthik Vaidhyanathan, Rudra Dhar, Venkat Krishnamachari, Adyansh Kakran, Sreemaee Akshathala, Shrikara Arun, Amey Karan, Basil Muhammed, Sumant Dubey, Mohan Veerubhotla

    4th IEEE/ACM International Conference on AI Engineering - Software Engineering for AI, CAIN 2025, Ottawa, ON, Canada, April 27-28, 2025

  3. 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

  4. 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

  5. 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

  6. 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 Autonomous Software Engineering, analysis of software systems and Agentic AI with an emphasis on reasoning about trade-offs, quality attributes, and the social and environmental consequences of technical decisions.

My supervision interests include SE4AI - Architecting Sustainable Agentic and Self-adaptive AI Systems, AI4SE - AI for Green Code Generation, AI for architecture knowledge Management and AI for Architectural Adaptation