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- Steven H. Low

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
79
Citations
34,186
342
World Ranking
289
National Ranking
153

Computer Science
D-index
90
Citations
42,129
395
World Ranking
354
National Ranking
212

2020 - ACM Fellow For theoretical foundations and real-world deployment of Internet congestion control and smart grid optimization

2008 - IEEE Fellow For contributions to internet congestion control

- Computer network
- Operating system
- The Internet

His scientific interests lie mostly in Mathematical optimization, Distributed computing, Network congestion, Computer network and Distributed algorithm. His Mathematical optimization research is multidisciplinary, incorporating perspectives in Schedule, Smart grid, Convex optimization, Computation and Demand response. The study incorporates disciplines such as Stability, Throughput, Random access, Telecommunications network and Internet protocol suite in addition to Distributed computing.

His work on TCP tuning as part of general Network congestion research is often related to Utility maximization problem, thus linking different fields of science. His Distributed algorithm study integrates concerns from other disciplines, such as AC power and Asynchronous communication. His Queueing theory research includes elements of Active queue management and Random early detection.

- Optimization flow control—I: basic algorithm and convergence (1851 citations)
- Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures (1242 citations)
- REM: active queue management (963 citations)

Steven H. Low mostly deals with Mathematical optimization, Control theory, Computer network, Distributed computing and Electric power system. His biological study spans a wide range of topics, including Convex optimization, Distributed algorithm and Power flow. His Distributed algorithm research integrates issues from Demand response and Random access.

His studies deal with areas such as Network congestion, Resource allocation, Telecommunications network, The Internet and Scheduling as well as Distributed computing. In general Network congestion study, his work on TCP tuning often relates to the realm of Utility maximization problem, thereby connecting several areas of interest. His Electric power system study combines topics in areas such as Distributed generation and AC power.

- Mathematical optimization (33.55%)
- Control theory (16.45%)
- Computer network (16.02%)

- Mathematical optimization (33.55%)
- Electric power system (15.37%)
- Electric vehicle (6.28%)

Steven H. Low mainly investigates Mathematical optimization, Electric power system, Electric vehicle, Control theory and Power flow. Steven H. Low works in the field of Mathematical optimization, namely Optimization problem. His Electric power system research incorporates themes from Tree structure, Transmission and Automatic frequency control.

His Electric vehicle study also includes fields such as

- Simulation which is related to area like Open source and Data-driven,
- Model predictive control which intersects with area such as Scheduling, Energy, Robust control, Control system and Parameterized complexity,
- Battery which is related to area like Real-time computing. His Control theory study incorporates themes from Node and Power control. His Power flow research is multidisciplinary, relying on both Mathematical analysis, Shunt, Network topology, Constraint and Relaxation.

- System level synthesis (52 citations)
- Distributed Frequency Control With Operational Constraints, Part I: Per-Node Power Balance (36 citations)
- On Identification of Distribution Grids (31 citations)

- Computer network
- Operating system
- The Internet

His primary areas of study are Electric power system, Mathematical optimization, Control theory, Control theory and Key. His research in Electric power system intersects with topics in Optimization problem, AC power, Differential privacy and Transmission. Steven H. Low undertakes interdisciplinary study in the fields of Mathematical optimization and Expression through his works.

His studies in Control theory integrate themes in fields like Tree structure, Cascading failure, Power control and Automatic Generation Control. His work is dedicated to discovering how Control theory, Optimal control are connected with Equilibrium point and other disciplines. His work investigates the relationship between Key and topics such as Scalability that intersect with problems in Industrial engineering, Reinforcement learning, Control, Telecommunications network and Energy management.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Optimization flow control—I: basic algorithm and convergence

Steven H. Low;David E. Lapsley.

IEEE ACM Transactions on Networking **(1999)**

2572 Citations

FAST TCP: motivation, architecture, algorithms, performance

David X. Wei;Cheng Jin;Steven H. Low;Sanjay Hegde.

IEEE ACM Transactions on Networking **(2006)**

2056 Citations

Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures

Mung Chiang;S.H. Low;A.R. Calderbank;J.C. Doyle.

Proceedings of the IEEE **(2007)**

1717 Citations

REM: active queue management

S. Athuraliya;S.H. Low;V.H. Li;Qinghe Yin.

IEEE Network **(2001)**

1693 Citations

Optimal decentralized protocol for electric vehicle charging

Lingwen Gan;Ufuk Topcu;Steven H. Low.

IEEE Transactions on Power Systems **(2013)**

1327 Citations

Zero Duality Gap in Optimal Power Flow Problem

Javad Lavaei;S. H. Low.

IEEE Transactions on Power Systems **(2012)**

1310 Citations

Greening geographical load balancing

Zhenhua Liu;Minghong Lin;Adam Wierman;Steven Low.

**(2015)**

1262 Citations

Optimal demand response based on utility maximization in power networks

Na Li;Lijun Chen;Steven H. Low.

power and energy society general meeting **(2011)**

1100 Citations

Internet congestion control

S.H. Low;F. Paganini;J.C. Doyle.

IEEE Control Systems Magazine **(2002)**

1080 Citations

Branch Flow Model: Relaxations and Convexification—Part II

Masoud Farivar;Steven H. Low.

IEEE Transactions on Power Systems **(2013)**

1006 Citations

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