Dr. Imdad Ullah Khan is an Assistant Professor of Computer Science at LUMS School of Science and Engineering. He received his Ph.D. in Computer Science from Rutgers, The State University of New Jersey.

Prior to joining LUMS Dr. Khan was an Assistant Professor at the department of Computer Science, in Umm Al-Qura University, KSA. 

Title Publication Author Year
Predicting Attributes of Nodes Using Network Structure ACM Transactions on Intelligent Systems and Technology 2021
Fair Allocation Based Soft Load Shedding Advances in Intelligent Systems and Computing 2021
Effect of analysis window and feature selection on classification of hand movements using EMG signal Advances in Intelligent Systems and Computing 2021
A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts Information Processing and Management 2020
Combinatorial trace method for network immunization Information Sciences 2020
Detecting DDoS attack on SDN Due to vulnerabilities in OpenFlow 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 2020
Language independent sentiment analysis 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 2020
Permissioned Blockchain-Based Security for SDN in IoT Cloud Networks 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 2020
Estimating Descriptors for Large Graphs Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
Short term load forecasting using smart meter data e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems 2019
A multi-cascaded deep model for bilingual SMS classification Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
Scalable approximation algorithm for graph summarization Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018
Sampling Based Efficient Algorithm to Estimate the Spectral Radius of Large Graphs Proceedings - IEEE 37th International Conference on Distributed Computing Systems Workshops, ICDCSW 2017 2017
Spectral methods for immunization of large networks Australasian Journal of Information Systems 2017
Scalable approximation algorithm for network immunization Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017 2017
Efficient approximation algorithms for string kernel based sequence classification Advances in Neural Information Processing Systems 2017
Affine-invariant outlier detection and data visualization Proceedings ot the 21st Pacific Asia Conference on Information Systems: ''Societal Transformation Through IS/IT'', PACIS 2017 2017
Perfect matchings in 4-uniform hypergraphs Journal of Combinatorial Theory. Series B 2016
Spectral methods for immunization of large networks 14th Australasian Data Mining Conference, AusDM 2016 2016
Ore-degree threshold for the square of a Hamiltonian cycle Discrete Mathematics and Theoretical Computer Science 2015
Perfect matchings in 3-uniform hypergraphs with large vertex degree SIAM Journal on Discrete Mathematics 2013
Generalized similarity kernels for efficient sequence classification Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 2012
Online algorithms for complete itemset counts using set-to-string mappings 10th IEEE International Multitopic Conference 2006, INMIC 2006