Alumnus · Left 2018
Saurav Talukdar
PhD. Alumnus
Currently: Verrus
First employment after PhD: Apple Inc.
Education
- B.Tech: Mechanical Engineering, IIT Bombay (2012)
- M.Tech: Mechanical Engineering (spl. Computer Aided Design and Automation), IIT Bombay (2013)
- PhD.: Electrical and Computer Engineering, University of Minnesota, Twin-Cities (2018)
Research interests
Learning influence pathways using time-series, Fundamental limits on computations and memory, Feedback processes relation to information and thermodynamic entropy, Distributed computation, Power network identification and coordination
Thesis
Information Processing: Thermodynamics of Computations and Network Inference
Publications
25 total (showing 20 most recent)
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The differential entropy of mixtures: New bounds and applications.
2022 · Journal · IEEE Transactions on Information Theory vol. 68
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Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs.
2022 · Conference · In International Conference on Artificial Intelligence and Statistics
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Graphical models in meshed distribution grids: Topology estimation, change detection & limitations.
2020 · Journal · IEEE Transactions on Smart Grid 11
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Physics informed topology learning in networks of linear dynamical systems.
2020 · Journal · Automatica 112 (2020): 108705.
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Distributed Stopping Criterion for Consensus in the Presence of Delays.
2019 · Journal · IEEE Transactions on Control of Network Systems (2019).
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Exact Topology Learning in a Network of Cyclostationary Processes.
2019 · Conference · In 2019 American Control Conference (ACC)
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Optimal Finite Time Erasure: A mass transport perspective.
2019 · Abstract / other · In APS Meeting Abstracts. 2019.
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Thermodynamics of Feedback with application to Landauer's Principle
2019 · Abstract / other · In American Physical Society March Meeting Abstracts. 2019.
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Single Molecule Studies Enabled by Model-Based Controller Design.
2018 · Journal · IEEE/ASME Transactions on Mechatronics 23
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Data-driven identification of a thermal network in multi-zone building.
2018 · Conference · In IEEE Conference on Decision and Control (CDC)
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Distributed Stopping Criterion for Ratio Consensus,
2018 · Conference · 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA
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Topology Learning of Radial Dynamical Systems with Latent Nodes.
2018 · Conference · In 2018 Annual American Control Conference (ACC)
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Mixture of Gaussians perspective on the Landauer Bound
2018 · Abstract / other · Bulletin of the American Physical Society 2018
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Mixed Entropy Power Inequalities and Log-Concavity of Equilibrium Distribution with application to the Physical Limits of Computation
2018 · Abstract / other · Bulletin of the American Physical Society 2018
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Structure Learning in Network of Time Series,
2018 · Abstract / other · poster presentation at Baylearn, San Francisco
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Memory erasure using time-multiplexed potentials
2017 · Journal · Physical Review E
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Exact topology reconstruction of radial dynamical systems with applications to distribution system of the power grid
2017 · Conference · American Control Conference (ACC)
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Beating Landauer’s bound by Memory Erasure using Time Multiplexed Potentials.
2017 · Conference · IFAC-PapersOnLine 50
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Learning exact topology of a loopy power grid from ambient dynamics
2017 · Conference · . In Proceedings of the Eighth International Conference on Future Energy Systems (pp. 222-227). ACM.
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Distributed Apportioning in a Network of Energy Resources for providing Ancillary Services
2017 · Conference · . International Conference on Smart Grid Communications (IEEE Smart Grid Comm), Germany, Oct 23-26