Karthik Vaidhyanathan
Assistant Professor
University of L'Aquila
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.
Karthik also poses more than 5 years of industrial experience as an employee and as a consultant in building and deploying ML products/services.
Publications
- Engineering End-to-End Remote Labs using IoT-based Retrofitting.on December 31, 2023 at 11:00 pm
K. S. Viswanadh, Akshit Gureja, Nagesh Walchatwar, Rishabh Agrawal, Shiven Sinha, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella, Prabhakar Bhimalapuram, Harikumar Kandath, Aftab M. Hussain:Engineering End-to-End Remote Labs using IoT-based Retrofitting. CoRR abs/2402.05466 (2024)
- SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.on December 31, 2023 at 11:00 pm
Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan:SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems. CoRR abs/2402.06351 (2024)
- ML-enabled Service Discovery for Microservice Architecture: a QoS Approach.on December 31, 2023 at 11:00 pm
Karthik Vaidhyanathan, Mauro Caporuscio, Stefano Florio, Henry Muccini:ML-enabled Service Discovery for Microservice Architecture: a QoS Approach. SAC 2024: 1193-1200
- SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems.on December 31, 2023 at 11:00 pm
Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan:SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems. SEAMS@ICSE 2024: 143-149
- EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.on December 31, 2023 at 11:00 pm
Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan:EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems. ICSA-C 2024: 230-237
- Architecting Digital Twin for Smart City Systems: A Case Study.on December 31, 2023 at 11:00 pm
Likhith Kanigolla, Gaurav Pal, Karthik Vaidhyanathan, Deepak Gangadharan, Anuradha Vattem:Architecting Digital Twin for Smart City Systems: A Case Study. ICSA-C 2024: 326-334
- Towards Architecting Sustainable MLOps: A Self-Adaptation Approach.on December 31, 2023 at 11:00 pm
Hiya Bhatt, Shrikara Arun, Adyansh Kakran, Karthik Vaidhyanathan:Towards Architecting Sustainable MLOps: A Self-Adaptation Approach. ICSA-C 2024: 179-182
- Reimagining Self-Adaptation in the Age of Large Language Models.on December 31, 2023 at 11:00 pm
Raghav Donakanti, Prakhar Jain, Shubham Kulkarni, Karthik Vaidhyanathan:Reimagining Self-Adaptation in the Age of Large Language Models. ICSA-C 2024: 171-174
- Leveraging Generative AI for Architecture Knowledge Management.on December 31, 2023 at 11:00 pm
Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:Leveraging Generative AI for Architecture Knowledge Management. ICSA-C 2024: 163-166
- Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study.on December 31, 2023 at 11:00 pm
Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study. CoRR abs/2403.01709 (2024)
- Towards Architecting Sustainable MLOps: A Self-Adaptation Approach.on December 31, 2023 at 11:00 pm
Hiya Bhatt, Shrikara Arun, Adyansh Kakran, Karthik Vaidhyanathan:Towards Architecting Sustainable MLOps: A Self-Adaptation Approach. CoRR abs/2404.04572 (2024)
- Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective.on December 31, 2023 at 11:00 pm
VJS Pranavasri, Leo Francis, Gaurav Pal, Ushasri Mogadali, Anuradha Vattem, Karthik Vaidhyanathan, Deepak Gangadharan:Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective. ICSA-C 2024: 16-23
- POSEIDON : Efficient Function Placement at the Edge using Deep Reinforcement Learning.on December 31, 2023 at 11:00 pm
Prakhar Jain, Prakhar Singhal, Divyansh Pandey, Giovanni Quatrocchi, Karthik Vaidhyanathan:POSEIDON : Efficient Function Placement at the Edge using Deep Reinforcement Learning. CoRR abs/2410.11879 (2024)
- Can LLMs Generate Architectural Design Decisions? – An Exploratory Empirical Study.on December 31, 2023 at 11:00 pm
Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:Can LLMs Generate Architectural Design Decisions? – An Exploratory Empirical Study. ICSA 2024: 79-89
- EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems.on December 31, 2023 at 11:00 pm
Meghana Tedla, Shubham Kulkarni, Karthik Vaidhyanathan:EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems. CoRR abs/2404.11411 (2024)
- Reimagining Self-Adaptation in the Age of Large Language Models.on December 31, 2023 at 11:00 pm
Raghav Donakanti, Prakhar Jain, Shubham Kulkarni, Karthik Vaidhyanathan:Reimagining Self-Adaptation in the Age of Large Language Models. CoRR abs/2404.09866 (2024)
- Emoticontrol: Emotions-based Control of User-Interfaces Adaptations.on May 31, 2023 at 11:00 pm
Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan, Mikkel Baun Kjærgaard:Emoticontrol: Emotions-based Control of User-Interfaces Adaptations. Proc. ACM Hum. Comput. Interact. 7(EICS): 1-29 (2023)
- Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.on December 31, 2022 at 11:00 pm
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan:Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching. CoRR abs/2308.09960 (2023)
- Scalable and Interoperable Distributed Architecture for IoT in Smart Cities.on December 31, 2022 at 11:00 pm
VJS Pranavasri, Leo Francis, Ushasri Mogadali, Gaurav Pal, SVSLN Surya Suhas Vaddhiparthy, Anuradha Vattem, Karthik Vaidhyanathan, Deepak Gangadharan:Scalable and Interoperable Distributed Architecture for IoT in Smart Cities. WF-IoT 2023: 1-6
- Software Architecture for Multi-User Multiplexing to Enhance Scalability in IoT-Based Remote Labs.on December 31, 2022 at 11:00 pm
Akshit Gureja, Rishabh Agrawal, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella:Software Architecture for Multi-User Multiplexing to Enhance Scalability in IoT-Based Remote Labs. WF-IoT 2023: 1-7
- Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching.on December 31, 2022 at 11:00 pm
Shubham Kulkarni, Arya Marda, Karthik Vaidhyanathan:Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching. ASE 2023: 1721-1725
- Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism.on December 31, 2022 at 11:00 pm
Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan, Tobias Kristensen, Nicolai Krogager Asmussen:Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism. HCI (40) 2023: 3-22
- A Tool based Experiment to Teach Elicitation and Specification of Virtual Reality Product Requirements.on December 31, 2022 at 11:00 pm
Sai Anirudh Karre, Karthik Vaidhyanathan, Y. Raghu Reddy:A Tool based Experiment to Teach Elicitation and Specification of Virtual Reality Product Requirements. CompEd (2) 2023: 195
- Software Architecture and Machine Learning (Dagstuhl Seminar 23302).on December 31, 2022 at 11:00 pm
Grace A. Lewis, Henry Muccini, Ipek Ozkaya, Karthik Vaidhyanathan, Roland Weiss, Liming Zhu:Software Architecture and Machine Learning (Dagstuhl Seminar 23302). Dagstuhl Reports 13(7): 166-188 (2023)
- Toward Changing Users behavior with Emotion-based Adaptive Systems.on December 31, 2022 at 11:00 pm
Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan, Mikkel Baun Kjærgaard:Toward Changing Users behavior with Emotion-based Adaptive Systems. UMAP 2023: 85-95
- FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems.on December 31, 2021 at 11:00 pm
Federico Di Menna, Henry Muccini, Karthik Vaidhyanathan:FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems. SAC 2022: 1440-1447
- Agile4MLS – Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience.on December 31, 2021 at 11:00 pm
Karthik Vaidhyanathan, Anish Chandran, Henry Muccini, Regi Roy:Agile4MLS – Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience. IEEE Softw. 39(6): 43-50 (2022)
- Architecture Design for Human-Driven Systems.on December 31, 2020 at 11:00 pm
Mahyar Tourchi Moghaddam, Moamin B. Abughazala, Vittorio Cortellessa, Antinisca Di Marco, Henry Muccini, Fabrizio Rossi, Karthik Vaidhyanathan:Architecture Design for Human-Driven Systems. CoRR abs/2109.10073 (2021)
- A Service for Supporting Digital and Immersive Cultural Experiences.on December 31, 2020 at 11:00 pm
Karthik Vaidhyanathan, Antonio Bruno, Eleonora Mendola, Filippo Mignosi, Mahyar Tourchi Moghaddam, Henry Muccini, Monica Nesi:A Service for Supporting Digital and Immersive Cultural Experiences. CoRR abs/2109.07900 (2021)
- Software Architecture for ML-based Systems: What Exists and What Lies Ahead.on December 31, 2020 at 11:00 pm
Henry Muccini, Karthik Vaidhyanathan:Software Architecture for ML-based Systems: What Exists and What Lies Ahead. CoRR abs/2103.07950 (2021)
- A User-driven Adaptation Approach for Microservice-based IoT Applications.on December 31, 2020 at 11:00 pm
Martina De Sanctis, Henry Muccini, Karthik Vaidhyanathan:A User-driven Adaptation Approach for Microservice-based IoT Applications. IOT 2021: 48-56
- Software Architecture for ML-based Systems: What Exists and What Lies Ahead.on December 31, 2020 at 11:00 pm
Henry Muccini, Karthik Vaidhyanathan:Software Architecture for ML-based Systems: What Exists and What Lies Ahead. WAIN@ICSE 2021: 121-128