Karthik Vaidhyanathan
Assistant Professor. IIIT Hyderabad, India
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 machine learning with a specific focus on building sustainable software systems. His research focuses on how machine learning techniques can be leveraged to better architect self-adaptive systems and further how to better define architecting practices for developing Machine Learning-enabled software 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
Oct 26, 2024 | Delivered a talk as a part of NLP and LLM Course at IIITK |
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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 |
Apr 15, 2024 | Delivered a Keynote in SATrends Co-located with ICSE 2024 |
Apr 9, 2024 | Presented our work at ACM SAC 2024 |
selected publications
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Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled systems An Industrial ExperienceIn 2022
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A Machine Learning Approach to Service Discovery for Microservice ArchitecturesIn Software Architecture - 15th European Conference, ECSA 2021, Virtual Event, Sweden, September 13-17, 2021, Proceedings 2021
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Software Architecture for ML-based Systems: What Exists and What Lies AheadIn 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, WAIN@ICSE 2021, Madrid, Spain, May 30-31, 2021 2021
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Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT SystemsIn 2020 IEEE International Conference on Software Architecture, ICSA 2020, Salvador, Brazil, March 16-20, 2020 2020