Identifying implementation bugs in machine learning based image classifiers using metamorphic testing. - Anurag Dwarakanath; Manish Ahuja; Samarth Sikand; Raghotham M. Rao; R. P. Jagadeesh Chandra Bose; Neville Dubash; Sanjay Podder (ISSTA, 2018)

Smart Prompt Advisor: Multi-Objective Prompt Framework for Consistency and Best Practices. - Kanchanjot Kaur Phokela; Samarth Sikand; Kapil Singi; Kuntal Dey; Vibhu Saujanya Sharma; Vikrant Kaulgud (ASE, 2023)

Green AI Quotient: Assessing Greenness of AI-based software and the way forward. - Samarth Sikand; Vibhu Saujanya Sharma; Vikrant Kaulgud; Sanjay Podder (ASE, 2023)

Towards a Framework for Carbon-Aware Virtual Machine Management. - Priyavanshi Pathania; Rohit Mehra; Samarth Sikand; Vibhu Saujanya Sharma; Vikrant Kaulgud; Nikhil Bamby; Sanjay Podder; Adam P. Burden (ICSA-C, 2024)

How much SPACE do metrics have in GenAI assisted software development? - Samarth Sikand; Kanchanjot Kaur Phokela; Vibhu Saujanya Sharma; Kapil Singi; Vikrant Kaulgud; Teresa Tung; Pragya Sharma; Adam P. Burden (ISEC, 2024)

Do Generative AI Tools Ensure Green Code? An Investigative Study. - Samarth Sikand; Rohit Mehra; Vibhu Saujanya Sharma; Vikrant Kaulgud; Sanjay Podder; Adam P. Burden (RAIE@ICSE, 2024)

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead. - Priyavanshi Pathania; Nikhil Bamby; Rohit Mehra; Samarth Sikand; Vibhu Saujanya Sharma; Vikrant Kaulgud; Sanjay Podder; Adam P. Burden (GREENS@ICSE, 2025)

Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs. - Samarth Sikand; Rohit Mehra; Priyavanshi Pathania; Nikhil Bamby; Vibhu Saujanya Sharma; Vikrant Kaulgud; Sanjay Podder; Adam P. Burden (GREENS@ICSE, 2025)