Karthik Vaidhyanathan

Assistant Professor. IIIT Hyderabad, India

karthik_circle_profile.png

509, 5th Floor

Software Engineering Research Center, Himalaya Block-D

IIIT Hyderabad, Gachibowli, India 500032

Karthik Vaidhyanathan is an Assistant Professor at the Software Engineering Research Center, IIIT-Hyderabad, India where he is also associated with the leadership team of smart city living lab. He obtained his Ph.D. from the Gran Sasso Science Institute, Italy and did his postdoc at the University of L’Aquila, Italy. His main research interests lie in the intersection of software architecture and Artificial Intelligence (AI) with a specific focus on building sustainable software systems. His research focuses on how AI techniques can be leveraged to better architect self-adaptive systems and further how to better define architecting practices for developing AI-enabled systems. As a part of his research activities, he serves as a reviewer/organizing committee member in various workshops, conferences, and journals. He is also an editorial board member (SE Radio) of IEEE Software

Karthik also poses more than 5 years of industrial experience as an employee and as a consultant in building and deploying ML products/services.

news

Feb 20, 2025 Invited Talk at the GenAI SE Workshop, ISEC 2025
Feb 11, 2025 Invited and Participated in the Greening AI with Software Engineering Workshop, CECAM-HQ, EPFL, Lausanne, Switzerland
Oct 26, 2024 Delivered a talk as a part of NLP and LLM Course at IIITK
Sep 27, 2024 Delivered a talk as a part of Quick Heal Master Class Series
Sep 11, 2024 Delivered a talk at TechFusion 2024, London

selected publications

  1. Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
    Parthasarathy, Kannan,  Vaidhyanathan, Karthik, Dhar, Rudra, Krishnamachari, Venkat, Muhammed, Basil, Kakran, Adyansh, Akshathala, Sreemaee, Arun, Shrikara, Dubey, Sumant, Veerubhotla, Mohan, and others,
    arXiv preprint arXiv:2501.08243 2025
  2. Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
    Sridhar, Chandrasekar, Gupta, Vyakhya, Jain, Prakhar, and Vaidhyanathan, Karthik
    arXiv preprint arXiv:2501.17028 2025
  3. Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study
    Dhar, Rudra,  Vaidhyanathan, Karthik, and Varma, Vasudeva
    In 21st IEEE International Conference on Software Architecture, ICSA 2024, Hyderabad, India, June 4-8, 2024 2024
  4. EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems
    Tedla, Meghana, Kulkarni, Shubham, and Vaidhyanathan, Karthik
    In 21st IEEE International Conference on Software Architecture, ICSA 2024 - Companion, Hyderabad, India, June 4-8, 2024 2024
  5. Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching
    Kulkarni, Shubham, Marda, Arya, and Vaidhyanathan, Karthik
    In 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, Luxembourg, September 11-15, 2023 2023
  6. Software Architecture for ML-based Systems: What Exists and What Lies Ahead
    Muccini, Henry, and Vaidhyanathan, Karthik
    In 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN@ICSE 2021, Madrid, Spain, May 30-31, 2021 2021