Varad Kulkarni

According to our database, Varad Kulkarni authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly.

Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Abhinandan S. Prasad, Chitra Babu, Yogesh Simmhan

IEEE Trans. Parallel Distributed Syst., June, 2026

UNet-Based Keypoint Regression for 3D Cone Localization in Autonomous Racing.

Mariia Baidachna, James Carty, Aidan Ferguson, Joseph Agrane, Varad Kulkarni, Aubrey Agub, Michael Baxendale, Aaron David, Rachel Horton, Elliott Atkinson

CoRR, February, 2026

Optimizing FaaS Platforms for MCP-enabled Agentic Workflows.

Varad Kulkarni, Vaibhav Jha, Nikhil Reddy, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan

CoRR, January, 2026

2025

Towards AI Agents for Course Instruction in Higher Education: Early Experiences from the Field.

Yogesh Simmhan, Varad Kulkarni

CoRR, October, 2025

Pedagogy Meets AI & Systems: Towards Orchestrating Tutor Agents in Moodle using FaaS.

Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

Early Pedagogical Insights from using AI Tutor Agents in a Graduate-level Systems Course.

Varad Kulkarni, Nikhil Reddy, Yogesh Simmhan

Proceedings of the 32nd IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2025, 2025

2024

XFBench: A Cross-Cloud Benchmark Suite for Evaluating FaaS Workflow Platforms.

Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Harini Mohan, Jahnavi Murali, Mohith A, Ragul B, Sanjai Balajee, Sanjjit S, Swathika D, Vaishnavi S, Yashasvee V, Chitra Babu, Abhinandan S. Prasad, Yogesh Simmhan

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

Search Engine Using NLP Text Processing Techniques to Extract Most Relevant Search Results.

Ranjit Koragoankar, Varad Kulkarni, Deepali Naik

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

To Think Like a Vertex (or Not) for Distributed Training of Graph Neural Networks.

Varad Kulkarni, Akarsh Chaturvedi, Pranjal Naman, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Enhancing Interval-centric Distributed Computing to Support Incremental Graphs.

Varad Kulkarni, Ruchi Bhoot, Animesh Baranawal, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds.

Aakash Khochare, Tuhin Khare, Varad Kulkarni, Yogesh Simmhan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023