Mudassir Shabbir

Orcid: 0000-0002-6961-0961

According to our database1, Mudassir Shabbir authored at least 62 papers between 2008 and 2025.

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Bibliography

2025
Conversations in the wild: Data collection, automatic generation and evaluation.
Comput. Speech Lang., 2025

2024
MSDGSD: A Scalable Graph Descriptor for Processing Large Graphs.
IEEE Trans. Comput. Soc. Syst., June, 2024

On Zero Forcing Sets and Network Controllability - Computation and Edge Augmentation.
IEEE Trans. Control. Netw. Syst., March, 2024

A Graph Machine Learning Framework to Compute Zero Forcing Sets in Graphs.
IEEE Trans. Netw. Sci. Eng., 2024

Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning.
Proceedings of the American Control Conference, 2024

2023
Circuit design completion using graph neural networks.
Neural Comput. Appl., June, 2023

Computation of the Distance-Based Bound on Strong Structural Controllability in Networks.
IEEE Trans. Autom. Control., March, 2023

On augmenting topological graph representations for attributed graphs.
Appl. Soft Comput., March, 2023

Computing Graph Descriptors on Edge Streams.
ACM Trans. Knowl. Discov. Data, 2023

Speech emotion recognition for the Urdu language.
Lang. Resour. Evaluation, 2023

A Survey of Graph Unlearning.
CoRR, 2023

Sequential Graph Neural Networks for Source Code Vulnerability Identification.
CoRR, 2023

Learning-Based Heuristic for Combinatorial Optimization of the Minimum Dominating Set Problem using Graph Convolutional Networks.
CoRR, 2023

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Controllability Backbone in Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Byzantine Resilient Distributed Learning in Multirobot Systems.
IEEE Trans. Robotics, 2022

Optimal school site selection in Urban areas using deep neural networks.
J. Ambient Intell. Humaniz. Comput., 2022

Edge Augmentation With Controllability Constraints in Directed Laplacian Networks.
IEEE Control. Syst. Lett., 2022

Data driven smart policing: A novel road distance-based <i>k</i>-median model for optimal substation placement.
Comput. Hum. Behav., 2022

Strong structural controllability of networks: Comparison of bounds using distances and zero forcing.
Autom., 2022

Resilient distributed vector consensus using centerpoint.
Autom., 2022

Attack-Resilient Multi-Agent Flocking Control Using Graph Neural Networks.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Resilient Multi-agent Reinforcement Learning Using Medoid and Soft-medoid Based Aggregation.
Proceedings of the IEEE International Conference on Assured Autonomy, 2022

What a drag! Streamlining the UAV design process with design grammars and drag surrogates.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

Leader Selection for Strong Structural Controllability in Networks using Zero Forcing Sets.
Proceedings of the American Control Conference, 2022

2021
Structural Robustness to Noise in Consensus Networks: Impact of Degrees and Distances, Fundamental Limits, and Extremal Graphs.
IEEE Trans. Autom. Control., 2021

NetKI: A kirchhoff index based statistical graph embedding in nearly linear time.
Neurocomputing, 2021

Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World.
Int. J. Inf. Manag., 2021

DGSD: Distributed graph representation via graph statistical properties.
Future Gener. Comput. Syst., 2021

Seymour's Second Neighborhood Conjecture for 6-antitransitive digraphs.
Discret. Appl. Math., 2021

Computing Graph Descriptors on Edge Streams.
CoRR, 2021

SEMOUR: A Scripted Emotional Speech Repository for Urdu.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Graph-Theoretic Approach for Increasing Participation in Networks With Assorted Resources.
IEEE Trans. Netw. Sci. Eng., 2020

Tradeoff Between Controllability and Robustness in Diffusively Coupled Networks.
IEEE Trans. Control. Netw. Syst., 2020

Tweet Coupling: a social media methodology for clustering scientific publications.
Scientometrics, 2020

Interpretable multi-scale graph descriptors via structural compression.
Inf. Sci., 2020

Combinatorial trace method for network immunization.
Inf. Sci., 2020

A Simpler NP-Hardness Proof for Familial Graph Compression.
CoRR, 2020

Resilient Distributed Diffusion for Multi-Robot Systems Using Centerpoint.
Proceedings of the Robotics: Science and Systems XVI, 2020

Estimating Descriptors for Large Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Resilient multi-robot target pursuit.
Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Interplay Between Resilience and Accuracy in Resilient Vector Consensus in Multi-Agent Networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resilient Vector Consensus in Multi-Agent Networks Using Centerpoints.
Proceedings of the 2020 American Control Conference, 2020

Improving Network Robustness through Edge Augmentation While Preserving Strong Structural Controllability.
Proceedings of the 2020 American Control Conference, 2020

2019
Influential tweeters in relation to highly cited articles in altmetric big data.
Scientometrics, 2019

On Computation of the Distance-based Bound on Strong Structural Controllability in Networks.
CoRR, 2019

Structural Robustness to Noise in Consensus Networks: Impact of Average Degrees and Average Distances.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Computation of the Distance-based Lower Bound on Strong Structural Controllability in Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Trade-off Between Controllability and Robustness in Networks of Diffusively Coupled Agents.
Proceedings of the 2019 American Control Conference, 2019

2017
Efficient Approximation Algorithms for String Kernel Based Sequence Classification.
CoRR, 2017

Spectral Methods for Immunization of Large Networks.
Australas. J. Inf. Syst., 2017

Scalable Approximation Algorithm for Network Immunization.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

Affine-Invariant Outlier Detection and Data Visualization.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Stylometry and Lexical & Syntactic Features Based Author Attribution on PLoS Digital Repository.
Proceedings of the Digital Libraries: Data, Information, and Knowledge for Digital Lives, 2017

2016
Network Decontamination with a Single Agent.
Graphs Comb., 2016

2015
k-Centerpoints Conjectures for Pointsets in ℝd.
Int. J. Comput. Geom. Appl., 2015

2011
Ray-Shooting Depth: Computing Statistical Data Depth of Point Sets in the Plane.
Proceedings of the Algorithms - ESA 2011, 2011

2008
Acceleration of Smith-Waterman using Recursive Variable Expansion.
Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008


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