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researcher

S. Dey

48 papers hereh-index 396k citations283 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author23
  • last author23

Across the 47 of 48 papers where every author was matched, so the position is known.

fields
  • eess.SY17
  • cs.IT14
  • math.OC10
  • cs.LG3
  • eess.SP2
  • stat.AP1
same name
  • S. Dey — 73 papers, h 11
  • S. Dey — 26 papers
  • S. Dey — 23 papers, h 61
  • S. Dey — 20 papers, h 8
  • S. Dey — 15 papers, h 9
  • S. Dey — 14 papers, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082026
most citedOptimal Energy Allocation for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgments and Energy Harvesting Constraints

82 citations · 166 across the 43 of their papers we have counts for

collaborators
Showing 2024 · eess.SYShow all

3 papers · 2 filters

eess.SY2024

Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence

Xiaomeng Chen, Wei Huo, Kemi Ding +2

The distributed computation of a Nash equilibrium (NE) for non-cooperative games is gaining increased attention recently. Due to the nature of distributed systems, privacy and comm…

eess.SY2024

Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games

Wei Huo, Xiaomeng Chen, Kemi Ding +2

This paper explores distributed aggregative games in multi-agent systems. Current methods for finding distributed Nash equilibrium require players to send original messages to thei…

eess.SY2024

Policy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint

Arunava Naha, Subhrakanti Dey

In this paper, we investigate a model-free optimal control design that minimizes an infinite horizon average expected quadratic cost of states and control actions subject to a prob…

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