Dr. ImdadUllah Khan
Assistant Professor
Syed Babar Ali School of Science and Engineering
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.
Website: https://web.lums.edu.pk/~imdad/
| Title | Publication | Author | Year |
|---|---|---|---|
| Predicting Attributes of Nodes Using Network Structure | ACM Transactions on Intelligent Systems and Technology | 2021 | |
| Effect of analysis window and feature selection on classification of hand movements using EMG signal | Advances in Intelligent Systems and Computing | 2021 | |
| Fair Allocation Based Soft Load Shedding | Advances in Intelligent Systems and Computing | 2021 | |
| Combinatorial trace method for network immunization | Information Sciences | 2020 | |
| A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts | Information Processing and Management | 2020 | |
| Permissioned Blockchain-Based Security for SDN in IoT Cloud Networks | 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 | |
| Detecting DDoS attack on SDN Due to vulnerabilities in OpenFlow | 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 | |
| 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 | |
| Efficient approximation algorithms for string kernel based sequence classification | Advances in Neural Information Processing Systems | 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 | |
| Spectral methods for immunization of large networks | 14th Australasian Data Mining Conference, AusDM 2016 | 2016 | |
| Perfect matchings in 4-uniform hypergraphs | Journal of Combinatorial Theory. Series B | 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 |