Nikhil Reddy

According to our database, Nikhil Reddy authored at least 10 papers between 2021 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

Optimizing FaaS Platforms for MCP-enabled Agentic Workflows.

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

CoRR, January, 2026

Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency.

Nikhil Reddy, Chetan Arora, Mahsa Baktashmotlagh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

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

Domain-Aware Knowledge Distillation for Continual Model Generalization.

Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

2022

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data.

Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi

Algorithms, 2022

Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions.

Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.

Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain

Proceedings of the Machine Learning and Knowledge Extraction, 2021