Samarth Sikand

According to our database, Samarth Sikand authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the 9th IEEE/ACM International Workshop on Green and Sustainable Software, 2025

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

Proceedings of the 9th IEEE/ACM International Workshop on Green and Sustainable Software, 2025

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

Proceedings of the 2nd International Workshop on Responsible AI Engineering, 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

Proceedings of the 17th Innovations in Software Engineering Conference, 2024

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

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

2023

Green AI Quotient: Assessing Greenness of AI-based software and the way forward.

Samarth Sikand, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

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

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2018

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

Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018