Nikhil Sreekumar

About Me

I am a Ph.D. student at University of Minnesota, Twin Cities, MN, USA.

Research Interests

• Edge data management: data placement, data prefetching, data reduction
• Energy-aware data policies: data sampling, data prioritization
• Device selection: federated learning

News

• [Sept 2024] A prefetching strategy for Virtual Objects in Augmented Reality at the edge submitted
• [July 2024] A Survey and Experimental Review on Data Distribution Strategies for Parallel Spatial Clustering Algorithms by Jagat Sesh Challa published in JCST
• [Apr 2023] Locality, Latency and Spatial-Aware Data Placement Strategies at the Edge submitted to arxiv
• [July 2022] Towards Elasticity in Heterogeneous Edge-dense Environments presented by Lei Huang at IEEE ICDCS
• [June 2022] HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning presented by Joel Wolfrath at IEEE IPDPS
• [Apr 2021] Accelerated Training via Device Similarity in Federated Learning presented by Yuanli Wang at ACM EuroSys - EdgeSys
• [Nov 2021] Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments submitted to arxiv
• [Nov 2020] Position paper: Towards a robust edge-native storage system presented at IEEE/ACM SEC

Publications

Journals

Workshops

Services

External Reviewer

• ACM Symposium on Cloud Computing (SoCC) (2024)
• IEEE Network (2024, 2023)
• IEEE CLOUD (2023)
• IEEE BigData (2020)

Organizer

• Grant Reviewer, COGS 2023
• Web Master, ACM HPDC 2022
• GRaDs Coordinator, CSGSA, 2021-2022

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