Sanjay Shakkottai

Sanjay Shakkottai's AcademicInfluence.com Rankings

Sanjay Shakkottai

Engineering

#5510

World Rank

#6770

Historical Rank

Electrical Engineering

#2436

World Rank

#2552

Historical Rank

Applied Physics

#2728

World Rank

#2773

Historical Rank

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Engineering

Sanjay Shakkottai's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering IIT Madras

Why Is Sanjay Shakkottai Influential?

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According to Wikipedia, Sanjay Shakkottai is the Temple Foundation Endowed Professor No. 3 at the Department of Electrical and Computer Engineering at the University of Texas at Austin. Prior to joining the faculty at the University of Texas at Austin, Shakkottai obtained his Ph.D. in 2002 from the University of Illinois at Urbana–Champaign. He was named Fellow of the Institute of Electrical and Electronics Engineers in 2014 for contributions to the modeling, design, and analysis of wireless networks.

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Sanjay Shakkottai's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Unreliable sensor grids: coverage, connectivity and diameter (2003) (690)
Cross-layer design for wireless networks (2003) (626)
Scheduling algorithms for a mixture of real-time and non-real-time data in HDR (2001) (426)
FlashLinQ: A synchronous distributed scheduler for peer-to-peer ad hoc networks (2013) (421)
Scheduling for multiple flows sharing a time-varying channel: the exponential rule (2000) (364)
Hop-by-Hop Congestion Control Over a Wireless Multi-Hop Network (2004) (306)
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks (2017) (241)
Scheduling Real-Time Traffic With Deadlines over a Wireless Channel (1999) (240)
Rethinking information theory for mobile ad hoc networks (2007) (221)
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks (2011) (200)
Exploiting Shared Representations for Personalized Federated Learning (2021) (171)
Pathwise optimality of the exponential scheduling rule for wireless channels (2004) (119)
On the design of device-to-device autonomous discovery (2012) (116)
How good are deterministic fluid models of Internet congestion control? (2002) (89)
On Throughput Optimality With Delayed Network-State Information (2008) (84)
Effective Capacity and QoS for Wireless Scheduling (2008) (80)
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks (2009) (73)
On Wireless Scheduling With Partial Channel-State Information (2012) (67)
Asymptotics of query strategies over a sensor network (2004) (63)
Model-Powered Conditional Independence Test (2017) (60)
FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks (2010) (56)
Social Learning in Multi Agent Multi Armed Bandits (2019) (56)
On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic (2007) (55)
Greedy learning of Markov network structure (2010) (54)
Min-Cost Selfish Multicast With Network Coding (2006) (52)
Scheduling Storms and Streams in the Cloud (2015) (51)
Identifying Best Interventions through Online Importance Sampling (2017) (51)
Geographic Routing With Limited Information in Sensor Networks (2004) (51)
Scheduling for small delay in multi-rate multi-channel wireless networks (2011) (50)
On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks (2010) (49)
Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime (2009) (49)
Back-Pressure Routing for Intermittently Connected Networks (2010) (45)
Pathwise optimality and state space collapse for the exponential rule (2002) (44)
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions (2018) (44)
Mean FDE models for Internet congestion control under a many-flows regime (2004) (43)
Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty (2009) (42)
Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks (2010) (41)
Back-pressure routing and rate control for ICNs (2010) (40)
Multiuser diversity for the multiple antenna broadcast channel with linear receivers: asymptotic analysis (2004) (40)
On Optimal MAC Scheduling With Physical Interference (2007) (39)
On optimizing CSMA for wide area ad hoc networks (2012) (39)
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants (2021) (37)
Regret of Queueing Bandits (2016) (37)
Network forensics: random infection vs spreading epidemic (2012) (36)
Contextual Bandits with Latent Confounders: An NMF Approach (2016) (33)
Many-Sources Delay Asymptotics with Applications to Priority Queues (2001) (33)
On Network Coding for Interference Networks (2006) (32)
Augmenting max-weight with explicit learning for wireless scheduling with switching costs (2018) (31)
Practical Costa precoding for the multiple antenna broadcast channel (2004) (31)
Epidemic Spreading With External Agents (2012) (30)
Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling (2006) (30)
Adaptive TTL-Based Caching for Content Delivery (2017) (30)
Looking at Large Networks: Coding vs. Queueing (2006) (30)
Transmit Precoding for the Multiple Antenna Broadcast Channel (2006) (29)
Serving content with unknown demand: the high-dimensional regime (2014) (29)
Scaling Bounds for Function Computation over Large Networks (2007) (29)
Stability and convergence of TCP-like congestion controllers in a many-flows regime (2003) (29)
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits (2020) (28)
Bounds on the throughput of congestion controllers in the presence of feedback delay (2003) (28)
Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation (2006) (28)
Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic (2008) (28)
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach (2016) (27)
Learning contention patterns and adapting to load/topology changes in a MAC scheduling algorithm (2006) (25)
Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks (2012) (24)
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes (2020) (24)
TCP performance over end-to-end rate control and stochastic available capacity (2001) (24)
Task-Robust Model-Agnostic Meta-Learning (2020) (23)
Oblivious Routing with Mobile Fusion Centers over a Sensor Network (2007) (23)
Robust Multi-Agent Multi-Armed Bandits (2020) (23)
Random mobility and the spread of infection (2011) (22)
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes (2020) (22)
Tail asymptotics for policies favoring short jobs in a many-flows regime (2006) (22)
Blocking Bandits (2019) (22)
Detecting epidemics using highly noisy data (2013) (21)
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks (2020) (20)
Improved Greedy Algorithms for Learning Graphical Models (2015) (20)
On identifying the causative network of an epidemic (2012) (19)
Localized Epidemic Detection in Networks with Overwhelming Noise (2014) (19)
On distributed scheduling with heterogeneously delayed network-state information (2012) (18)
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns (2010) (17)
Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime (2005) (16)
On Learning the cμ Rule in Single and Parallel Server Networks (2018) (16)
Asymptotics of search strategies over a sensor network (2005) (16)
Communication Through Jamming Over a Slotted ALOHA Channel (2008) (15)
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach (2018) (15)
Epidemic thresholds with external agents (2013) (14)
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing (2012) (14)
On the Role of Mobility for Multimessage Gossip (2012) (14)
Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization (2008) (14)
Broadcasting in Sensor Networks: The Role of Local Information (2006) (13)
Greedy learning of graphical models with small girth (2012) (13)
Low-delay wireless scheduling with partial channel-state information (2012) (13)
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation (2021) (13)
Connectivity of sensor networks with power control (2003) (13)
Importance weighted generative networks (2018) (12)
Contextual Blocking Bandits (2020) (12)
Online Load Balancing Under Graph Constraints (2013) (12)
MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks (2013) (12)
Distinguishing Infections on Different Graph Topologies (2013) (11)
Distribution-Agnostic Model-Agnostic Meta-Learning (2020) (11)
Online Collaborative Filtering on Graphs (2014) (11)
Wireless scheduling with heterogeneously delayed network-state information (2010) (11)
Why Does MAML Outperform ERM? An Optimization Perspective (2020) (10)
Towards a queueing-based framework for in-network function computation (2011) (10)
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance (2022) (10)
The 2014 ACM international conference on Measurement and modeling of computer systems (2014) (10)
Performance of the MIMO downlink channel with multi-mode adaptation and scheduling (2005) (10)
MAML and ANIL Provably Learn Representations (2022) (9)
Local detection of infections in heterogeneous networks (2015) (9)
Job Dispatching Policies for Queueing Systems with Unknown Service Rates (2021) (9)
Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling (2019) (8)
Contextual Bandits with Stochastic Experts (2018) (8)
Applications of Common Entropy for Causal Inference (2020) (8)
Sharing multiple messages over mobile networks (2011) (8)
TCP over end-to-end ABR: a study of TCP performance with end-to-end rate control and stochastic available capacity (1998) (8)
Scheduling in densified networks: Algorithms and performance (2014) (8)
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning (2022) (8)
The Search Problem in Mixture Models (2016) (7)
Spectrum sharing and scheduling in D2D-enabled dense cellular networks (2015) (7)
Many Flows Asymptotics for SMART Scheduling Policies (2012) (7)
The behavior of epidemics under bounded susceptibility (2014) (7)
Linear Bandit Algorithms with Sublinear Time Complexity (2021) (7)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators (2021) (7)
Modes of overflow, effective capacity and qos for wireless scheduling (2003) (7)
Asymptotic Evaluation of Delay in the SRPT Scheduler (2006) (7)
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models (2023) (7)
Wireless scheduling with partial channel state information: large deviations and optimality (2014) (6)
Adaptive TTL-Based Caching for Content Delivery (2018) (6)
Correction to “Unreliable Sensor Grids: Coverage, Connectivity and Diameter” (2005) (6)
FluNet: A hybrid internet simulator for fast queue regimes (2007) (6)
Entropic Latent Variable Discovery (2018) (6)
On the effect of channel fading on greedy scheduling (2012) (6)
Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks (2012) (6)
On the Role of Mobility for Multi-message Gossip (2012) (6)
Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems (2019) (6)
MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks (2015) (6)
Multiagent Low-Dimensional Linear Bandits (2020) (6)
Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs (2017) (5)
Online load balancing under graph constraints (2016) (5)
Limiting Queueing Models for Scheduling in Multi-user MIMO Wireless Systems ∗ (2003) (5)
MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling (2021) (5)
Buffer Asymptotics for Coding Over Networks (2010) (5)
Delay asymptotics for a priority queueing system (2000) (5)
Time-Scale Decomposition and Equivalent Rate-Based Marking (2004) (4)
Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility (2009) (4)
Overlap graph clustering via successive removal (2014) (4)
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach (2016) (4)
Detecting Cascades from Weak Signatures (2018) (4)
On file sharing over a wireless social network (2011) (4)
Warm Starting Bandits with Side Information from Confounded Data (2020) (4)
On Sharing Viral Video over an Ad Hoc Wireless Network (2011) (3)
On optimizing CSMA for wide area ad hoc networks (2011) (3)
Minimax Regret for Cascading Bandits (2022) (3)
On Learning the cμ Rule: Single and Multiserver Settings (2018) (3)
Social Learning in Multi Agent Multi Armed Bandits (2020) (3)
On Efficient Data Transport with Mobile Carriers (2011) (3)
Improved Algorithms for Misspecified Linear Markov Decision Processes (2021) (3)
Detecting Sponsored Recommendations (2015) (3)
Combinatorial Blocking Bandits with Stochastic Delays (2021) (3)
Delay asymptotics of the SRPT scheduler (2004) (3)
Robust Multi-Agent Bandits Over Undirected Graphs (2022) (3)
Latent Contextual Bandits (2016) (2)
Stochastic Linear Bandits with Protected Subspace (2020) (2)
Deterministic fluid models of congestion control in high-speed networks (2001) (2)
On the Elasticity of Marking Functions in an Integrated Network (2009) (2)
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD (2023) (2)
Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback (2020) (2)
On the Elasticity of Marking Functions: Scheduling, Stability, and Quality-of-Service in the Internet (2005) (2)
Scheduling Storms and Streams in the Cloud (2015) (2)
Detecting Sponsored Recommendations (2015) (2)
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering (2021) (2)
Short Queue Behavior and Rate Based Marking (2004) (2)
Pareto Optimal Streaming Unsupervised Classification (2019) (2)
Online Collaborative-Filtering on Graphs (2016) (2)
Searching For A Single Community in a Graph (2016) (2)
How Does the Task Landscape Affect MAML Performance? (2020) (2)
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? (2021) (1)
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations (2018) (1)
Message from the TPC chairs (2014) (1)
One-bit feedback is sufficient for upper confidence bound policies (2020) (1)
InfoNCE Loss Provably Learns Cluster-Preserving Representations (2023) (1)
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling (2013) (1)
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret (2022) (1)
Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks (2021) (1)
Power Reduction of (2011) (1)
Optimistic Optimization for Statistical Model Checking with Regret Bounds (2019) (1)
TCP with feed-forward source coding for wireless downlink networks (2009) (1)
Greedy Learning of Markov Network Structure ( Invited Paper ) (2010) (1)
Switching Constrained Max-Weight Scheduling for Wireless Networks (2019) (1)
Covert Communication over Slotted ALOHA Systems (2004) (1)
The Market Opportunity for Multiple Antenna Technology for Next Generation Broadband Wireless Systems (2005) (1)
Asymptotically-Optimal Gaussian Bandits with Side Observations (2022) (1)
Learning Certifiably Robust Controllers Using Fragile Perception (2022) (1)
Serving content with unknown demand: the high-dimensional regime (2015) (1)
Learning To Maximize Welfare with a Reusable Resource (2022) (1)
The Exponential Rule for Wireless Scheduling : Pathwise Optimalit y and State Space Collapse (2001) (0)
Bandit Learning-based Online User Clustering and Selection for Cellular Networks (2022) (0)
MobiHoc'12 program chairs' welcome (2012) (0)
Online Matching, Black-box Optimization and Hyper-parameter Tuning (2021) (0)
Causal Best Intervention Identification via Importance Sampling (2017) (0)
Episodic Bandits with Stochastic Experts (2021) (0)
Verification and Parameter Synthesis for Stochastic Systems using Optimistic Optimization (2019) (0)
Lattice Throughput Optimal Scheduling : Learning Contention Patterns and Adapting to Load / Topology (2007) (0)
Multi-modal Social Networks: A MRF Learning Approach (2016) (0)
Sensing and Communications in V2V and V2I Settings (2021) (0)
Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments (2023) (0)
Exploiting Latent Attack Semantics for Intelligent Malware Detection (2017) (0)
Activities, Findings and Collaboration in the NSF Project “FIND: Collaborative Research: Towards An Analytic Foundation for Network Architectures” (2008) (0)
Final Report for ARMY STIR Grant W911NF-10-1-0360: Inferring Implicit Human Social Network Structure from Multi-modal Data (2013) (0)
Online Matching with Queueing Dynamics Research (2017) (0)
Large deviations with large coding buffers (2006) (0)
Social Learning in Multi Agent Multi Armed Bandits (2020) (0)
On Under-exploration in Bandits with Mean Bounds from Confounded Data (2020) (0)
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions (2019) (0)
PAC Generalization via Invariant Representations (2022) (0)
Topic modeling from network spread (2014) (0)
Learning To Maximize Welfare with a Reusable Resource (2022) (0)
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks (2022) (0)
Wireless scheduling with partial channel state information: large deviations and optimality (2015) (0)
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings (2020) (0)
Towards a queueing-based framework for in-network function computation (2012) (0)
Session MP3a: New trends in information theory and networks (2010) (0)
Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings (2020) (0)
Deterministic Models for Internet Congestion Control (2001) (0)
Optimality Properties of the M-EXP Scheduling Rule (2005) (0)
SIGMETRICS 2014 general chairs' welcome (2014) (0)
Online learning for multi-agent based resource allocation in weakly coupled wireless systems (2022) (0)
On distributed scheduling with heterogeneously delayed network-state information (2012) (0)
Performance of Linear Multiuser Receivers with Random and Optimal Spreading Sequences for Spread-Spectrum Systems (2007) (0)
Balancing performance and fairness using finite-SRPT (2007) (0)
HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization (2021) (0)
FluNet: A Hybrid Internet Simulation/Emulation Environment for a Fast Queue Regime (2005) (0)
Network coding for next-generation networks (2008) (0)
Online matching with queueing dynamics. (2016) (0)
Searching for a Single Community in a Graph (2018) (0)
AD HOC AND SENSOR NETWORKS (0)
Resource Allocation for Quality of Service in a Heterogeneous Network (2002) (0)

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Why Is Sanjay Shakkottai Influential?

Sanjay Shakkottai's Published Works

Published Works

Other Resources About Sanjay Shakkottai

What Schools Are Affiliated With Sanjay Shakkottai?

Sanjay Shakkottai's AcademicInfluence.com Rankings