ArchLearner: leveraging machine-learning techniques for proactive architectural adaptation. - Henry Muccini; Karthik Vaidhyanathan (ECSA (Companion), 2019)

A Machine Learning-Driven Approach for Proactive Decision Making in Adaptive Architectures. - Henry Muccini; Karthik Vaidhyanathan (ICSA Companion, 2019)

Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems. - Javier Cámara 001; Henry Muccini; Karthik Vaidhyanathan (ICSA, 2020)

Data-driven Adaptation in Microservice-based IoT Architectures. - Martina De Sanctis; Henry Muccini; Karthik Vaidhyanathan (ICSA Companion, 2020)

Leveraging Machine Learning Techniques for Architecting Self-Adaptive IoT Systems. - Henry Muccini; Karthik Vaidhyanathan (SMARTCOMP, 2020)

Towards Self-Learnable Software Architectures. - Henry Muccini; Karthik Vaidhyanathan (ERCIM News, 2020)

Human Behavior-Oriented Architectural Design. - Moamin Abughazala; Mahyar Tourchi Moghaddam; Henry Muccini; Karthik Vaidhyanathan (ECSA, 2021)

A Machine Learning Approach to Service Discovery for Microservice Architectures. - Mauro Caporuscio; Marco De Toma; Henry Muccini; Karthik Vaidhyanathan (ECSA, 2021)

Software Architecture for ML-based Systems: What Exists and What Lies Ahead. - Henry Muccini; Karthik Vaidhyanathan (WAIN@ICSE, 2021)

A User-driven Adaptation Approach for Microservice-based IoT Applications. - Martina De Sanctis; Henry Muccini; Karthik Vaidhyanathan (IOT, 2021)

A Service for Supporting Digital and Immersive Cultural Experiences. - Karthik Vaidhyanathan; Antonio Bruno; Eleonora Mendola; Filippo Mignosi; Mahyar Tourchi Moghaddam; Henry Muccini; Monica Nesi (CoRR, 2021)

Architecture Design for Human-Driven Systems. - Mahyar Tourchi Moghaddam; Moamin B. Abughazala; Vittorio Cortellessa; Antinisca Di Marco; Henry Muccini; Fabrizio Rossi; Karthik Vaidhyanathan (CoRR, 2021)

FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems. - Federico Di Menna; Henry Muccini; Karthik Vaidhyanathan (SAC, 2022)

Agile4MLS - Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience. - Karthik Vaidhyanathan; Anish Chandran; Henry Muccini; Regi Roy (IEEE Softw., 2022)

A Tool based Experiment to Teach Elicitation and Specification of Virtual Reality Product Requirements. - Sai Anirudh Karre; Karthik Vaidhyanathan; Y. Raghu Reddy (CompEd (2), 2023)

Emotional Internet of Behaviors: A QoE-QoS Adjustment Mechanism. - Mina Alipour; Mahyar Tourchi Moghaddam; Karthik Vaidhyanathan; Tobias Kristensen; Nicolai Krogager Asmussen (HCI (40), 2023)

Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching. - Shubham Kulkarni; Arya Marda; Karthik Vaidhyanathan (ASE, 2023)

Toward Changing Users behavior with Emotion-based Adaptive Systems. - Mina Alipour; Mahyar Tourchi Moghaddam; Karthik Vaidhyanathan; Mikkel Baun Kjærgaard (UMAP, 2023)

Software Architecture for Multi-User Multiplexing to Enhance Scalability in IoT-Based Remote Labs. - Akshit Gureja; Rishabh Agrawal; Sachin Chaudhari; Karthik Vaidhyanathan; Venkatesh Choppella (WF-IoT, 2023)

Scalable and Interoperable Distributed Architecture for IoT in Smart Cities. - VJS Pranavasri; Leo Francis; Ushasri Mogadali; Gaurav Pal; SVSLN Surya Suhas Vaddhiparthy; Anuradha Vattem; Karthik Vaidhyanathan; Deepak Gangadharan (WF-IoT, 2023)

Software Architecture and Machine Learning (Dagstuhl Seminar 23302). - Grace A. Lewis; Henry Muccini; Ipek Ozkaya; Karthik Vaidhyanathan; Roland Weiss; Liming Zhu 001 (Dagstuhl Reports, 2023)

Emoticontrol: Emotions-based Control of User-Interfaces Adaptations. - Mina Alipour; Mahyar Tourchi Moghaddam; Karthik Vaidhyanathan; Mikkel Baun Kjærgaard (Proc. ACM Hum. Comput. Interact., 2023)

Towards Architecting Sustainable MLOps: A Self-Adaptation Approach. - Hiya Bhatt; Shrikara Arun; Adyansh Kakran; Karthik Vaidhyanathan (ICSA-C, 2024)

Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study. - Rudra Dhar; Karthik Vaidhyanathan; Vasudeva Varma (ICSA, 2024)

Leveraging Generative AI for Architecture Knowledge Management. - Rudra Dhar; Karthik Vaidhyanathan; Vasudeva Varma (ICSA-C, 2024)

Reimagining Self-Adaptation in the Age of Large Language Models. - Raghav Donakanti; Prakhar Jain; Shubham Kulkarni; Karthik Vaidhyanathan (ICSA-C, 2024)

Architecting Digital Twin for Smart City Systems: A Case Study. - Likhith Kanigolla; Gaurav Pal; Karthik Vaidhyanathan; Deepak Gangadharan; Anuradha Vattem (ICSA-C, 2024)

Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective. - VJS Pranavasri; Leo Francis; Gaurav Pal; Ushasri Mogadali; Anuradha Vattem; Karthik Vaidhyanathan; Deepak Gangadharan (ICSA-C, 2024)

EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems. - Meghana Tedla; Shubham Kulkarni; Karthik Vaidhyanathan (ICSA-C, 2024)

POSEIDON: Efficient Function Placement at the Edge Using Deep Reinforcement Learning. - Prakhar Jain; Prakhar Singhal; Divyansh Pandey; Giovanni Quatrocchi; Karthik Vaidhyanathan (ICSOC (1), 2024)

ML-enabled Service Discovery for Microservice Architecture: a QoS Approach. - Karthik Vaidhyanathan; Mauro Caporuscio; Stefano Florio; Henry Muccini (SAC, 2024)

SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems. - Arya Marda; Shubham Kulkarni; Karthik Vaidhyanathan (SEAMS@ICSE, 2024)

Engineering End-to-End Remote Labs using IoT-based Retrofitting. - K. S. Viswanadh; Akshit Gureja; Nagesh Walchatwar; Rishabh Agrawal; Shiven Sinha; Sachin Chaudhari; Karthik Vaidhyanathan; Venkatesh Choppella; Prabhakar Bhimalapuram; Harikumar Kandath 001; Aftab M. Hussain (CoRR, 2024)

LoCoML: A Framework for Real-World ML Inference Pipelines. - Kritin Maddireddy; Santhosh Kotekal Methukula; Chandrasekar Sridhar; Karthik Vaidhyanathan (CAIN, 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 (CAIN, 2025)

Approach Towards Semi-Automated Certification of Low Criticality ML-Enabled Airborne Applications. - Chandrasekar Sridhar; Vyakhya Gupta; Prakhar Jain; Karthik Vaidhyanathan (CAIN, 2025)

ℋarmonE: A Self-adaptive Approach to Architecting Sustainable MLOps. - Hiya Bhatt; Shaunak Biswas; Srinivasan Rakhunathan; Karthik Vaidhyanathan (ECSA, 2025)

Leveraging LLMs for Dynamic IoT Systems Generation Through Mixed-Initiative Interaction. - Bassam Adnan; Sathvika Miryala; Aneesh Sambu; Karthik Vaidhyanathan; Martina De Sanctis; Romina Spalazzese (ICSA Companion, 2025)

LLMs for Generation of Architectural Components: An Exploratory Empirical Study in the Serverless World. - Shrikara Arun; Meghana Tedla; Karthik Vaidhyanathan (ICSA, 2025)

Architecting Digital Twins for Intelligent Transportation Systems. - Hiya Bhatt; Sahil 005; Karthik Vaidhyanathan; Rahul Biju; Deepak Gangadharan; Ramona Trestian; Purav Shah (ICSA Companion, 2025)

EdgeMLBalancer: A Self-Adaptive Approach for Dynamic Model Switching on Resource-Constrained Edge Devices. - Akhila Matathammal; Kriti Gupta; Larissa Lavanya; Ananya Vishal Halgatti; Priyanshi Gupta; Karthik Vaidhyanathan (ICSA Companion, 2025)

Modeling and Simulating IoT Infrastructures. - Philipp Zech; Karthik Vaidhyanathan; Likhith Kanigolla; Luca Rahm; Ruth Breu (SIMULTECH, 2025)

Engineering End-to-End Remote Labs Using IoT-Based Retrofitting. - Savitha Viswanadh Kandala; Akshit Gureja; Nagesh Walchatwar; Rishabh Agrawal; Shiven Sinha; Sachin Chaudhari; Karthik Vaidhyanathan; Venkatesh Choppella; Prabhakar Bhimalapuram; Harikumar Kandath 001; Aftab M. Hussain (IEEE Access, 2025)

Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions. - Matteo Esposito 001; Xiaozhou Li 002; Sergio Moreschini; Noman Ahmad; Tomás Cerný; Karthik Vaidhyanathan; Valentina Lenarduzzi; Davide Taibi 001 (CoRR, 2025)

DRAFT-ing Architectural Design Decisions using LLMs. - Rudra Dhar; Adyansh Kakran; Amey Karan; Karthik Vaidhyanathan; Vasudeva Varma (CoRR, 2025)

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling. - Ishan Kavathekar; Raghav Donakanti; Ponnurangam Kumaraguru; Karthik Vaidhyanathan (CoRR, 2025)

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices. - Luis Cruz 002; João Paulo Fernandes; Maja H. Kirkeby; Silverio Martínez-Fernández; June Sallou; Hina Anwar; Enrique Barba Roque; Justus Bogner; Joel Castaño; Fernando Castor; Aadil Chasmawala; Simão Cunha; et al. (CoRR, 2025)

SCAR: State-Space Compression for AI-Driven Resource Management in 6G-Enabled Vehicular Infotainment Systems. - Ioan-Sorin Comsa; Purav Shah; Karthik Vaidhyanathan; Deepak Gangadharan; Christof Imhof; Per Bergamin; Aryan Kaushik; Gabriel-Miro Muntean; Ramona Trestian (CoRR, 2025)