Dr. Nadeem Ahmad Khan
Associate Professor
Syed Babar Ali School of Science and Engineering
Nadeem Khan received his Ph.D. from the Eindhoven University of Technology. Dr Khan Joined LUMS in May 2002. Earlier, he worked at Streaming Networks (Pvt) Ltd, Islamabad where he performed several projects related to image processing and video compression in the context of multimedia products. His Ph.D. research work was on minimal training dependent and robust text recognition systems. This research work and rest of his graduate study have been in close association with Philips especially with its facilities of Philips Research Lab (LEP), France, Centre for Manufacturing Technology, The Netherlands and Philips International Institute, The Netherlands. In between his degrees ha had worked both locally and abroad including teaching at University of Engineering and Technology, Lahore and working as a Hardware Design Engineer at Philips Industrial Automation Systems, Eindhoven, The Netherlands.
| Title | Publication | Author | Year |
|---|---|---|---|
| A Fast HDR Image TMO based on a Simplified Eye Sensitivity Model | IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation | 2022 | |
| The Extended i-NSS: An Intelligent EEG Tool for Diagnosing and Managing Epilepsy | Communications in Computer and Information Science | 2021 | |
| Surface EMG-based profiling and fatigue analysis of the Biceps Brachii muscle of cricket bowlers | BIOSIGNALS 2021 - 14th International Conference on Bio-Inspired Systems and Signal Processing; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 | 2021 | |
| EDM: A multiclassification support system to identify seizure type using K Nearest Neighbor | 2021 28th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2021 - Proceedings | 2021 | |
| A study on variation in EMG trends under different muscular energy condition for repeated isokinetic dumbbell curl exercise | BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 | 2020 | |
| Exploring the merit of collaboration in classification and compression of epilepsy EEG signal | BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 | 2020 | |
| High performance multi-class motor imagery EEG classification | BIOSIGNALS 2020 - 13th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020 | 2020 | |
| A High Performance Approach for Classification of Motor Imagery EEG | 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings | 2018 | |
| FBCSP-based Multi-class Motor Imagery Classification using BP and TDP features | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 2018 | |
| DeepMI: Deep Learning for Multiclass Motor Imagery Classification | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 2018 | |
| A discriminative spectral-temporal feature set for motor imagery classification | IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation | 2017 | |
| Comparative analysis of classifiers for developing an adaptive computer-assisted EEG analysis system for diagnosing epilepsy | BioMed Research International | 2015 | |
| Computer assisted analysis system of electroencephalogram for diagnosing epilepsy | Proceedings - International Conference on Pattern Recognition | 2014 | |
| Pain intensity evaluation through facial action units | Proceedings - International Conference on Pattern Recognition | 2014 | |
| An alive electroencephalogram analysis system to assist the diagnosis of epilepsy | European Signal Processing Conference | 2014 | |
| Advancements in computer aided methods for EEG-based epileptic detection | BIOSIGNALS 2014 - 7th Int. Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 | 2014 | |
| Complexity scalable IDCT based approaches for power-efficient video decoding | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 2012 | |
| A spatio-temporal recursive search based prediction scheme for efficient multi-frame and bidirectional motion estimation | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 2012 | |
| A novel video coding scheme for lossy networks with scalable bit-stream | 2011 IEEE Visual Communications and Image Processing, VCIP 2011 | 2011 | |
| Survey of Dirac: A wavelet based video codec for multiparty video conferencing and broadcasting | Studies in Computational Intelligence | 2011 | |
| Open source wavelet based video conferencing system using SIP | 2010 International Conference on Information Society, i-Society 2010 | 2010 | |
| Power aware decoding of a scalable video bit-stream | International Symposium on Performance Evaluation of Computer and Telecommunication Systems 2009, SPECTS 2009, Part of the 2009 Summer Simulation Multiconference, SummerSim 2009 | 2009 | |
| Performance improvement in motion estimation of Dirac wavelet based video codec | 2009 9th International Symposium on Communications and Information Technology, ISCIT 2009 | 2009 | |
| Power aware decoding of a scalable video bit-stream | Proceedings of the 2009 International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS 2009 | 2009 | |
| Memory and architectural optimizations for soft video encoders | Journal of Real-Time Image Processing | 2009 |