People

Dr Shoaib Ehsan

Senior Research Fellow
School of Computer Science and Electronic Engineering (CSEE)
Dr Shoaib Ehsan
  • Email

  • Telephone

    +44 (0) 1206 872343

  • Location

    4B.525, Colchester Campus

Publications

Journal articles (15)

Malik, QW., ur Rehman, N., Gull, S., Ehsan, S. and McDonald-Maier, K., FPGA based real-time implementation of Bivariate Empirical Mode Decomposition. Circuits, Systems, and Signal Processing

Zahra, A., Kanwal, N., ur Rehman, N., Ehsan, S. and McDonald-Maier, KD., (2017). Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition. Computers in Biology and Medicine. 88, 132-141

Ferrarini, B., Ehsan, S., Leonardis, A., Rehman, N. and McDonald-Maier, K., (2017). Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. IEEE Access. abs/1709.08202

Ferrarini, B., Ehsan, S., Rehman, NU. and McDonald-Maier, KD., (2016). Performance comparison of image feature detectors utilizing a large number of scenes. Journal of Electronic Imaging. 25 (1), 010501-010501

Ehsan, S., Clark, A., Leonardis, A., ur Rehman, N., Khaliq, A., Fasli, M. and McDonald-Maier, K., (2016). A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Remote Sensing. 8 (11), 928-928

Ehsan, S., Clark, AF., Leonardis, A., Rehman, NU., Khaliq, A., Fasli, M. and McDonald-Maier, KD., (2016). A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors.. Remote Sensing. 8, 928-928

Ehsan, S., Clark, A., Rehman, N. and McDonald-Maier, K., (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors. 15 (7), 16804-16830

Rehman, N., Ehsan, S., Abdullah, S., Akhtar, M., Mandic, D. and McDonald-Maier, K., (2015). Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition. Sensors. 15 (5), 10923-10947

Zhai, X., Appiah, K., Ehsan, S., Howells, G., Hu, H., Gu, D. and McDonald-Maier, K., (2015). Exploring ICMetrics to detect abnormal program behaviour on embedded devices. Journal of Systems Architecture. 61 (10), 567-575

Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, KD. and Safdar, MW., (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters. 51 (24), 2049-2051

Zhai, X., Appiah, K., Ehsan, S., Howells, G., Hu, H., Gu, D. and McDonald-Maier, KD., (2015). A Method for Detecting Abnormal Program Behavior on Embedded Devices. IEEE Transactions on Information Forensics and Security. 10 (8), 1692-1704

Ehsan, S., Clark, A. and McDonald-Maier, K., (2013). Rapid Online Analysis of Local Feature Detectors and Their Complementarity. Sensors. 13 (8), 10876-10907

Bostanci, E., Kanwal, N., Ehsan, S. and Clark, AF., (2013). User Tracking Methods for Augmented Reality. International Journal of Computer Theory and Engineering. 5 (1), 93-98

Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, KD., (2012). An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves. IEEE Transactions on Image Processing. 21 (1), 297-304

Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, KD., (2010). Improved repeatability measures for evaluating performance of feature detectors. Electronics Letters. 46 (14), 998-998

Conferences (27)

Kalliatakis, G., Sticlaru, A., Stamatiadis, G., Ehsan, S., Leonardis, A., Gall, J. and McDonald-Maier, KD., (2018). Material classification in the wild: Do synthesized training data generalise better than real-world training data?

Villarreal Guerra, JC., Khanam, Z., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2018). Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks

Kalliatakis, G., Stamatiadis, G., Ehsan, S., Leonardis, A., Gall, J., Sticlaru, A. and McDonald-Maier, KD., (2017). Evaluating Deep Convolutional Neural Networks for Material Classification

Kalliatakis, G., Ehsan, S., Fasli, M., Leonardis, A., Gall, J. and McDonald-Maier, KD., (2017). Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?

Bin Nazar, H., Moetesum, M., Ehsan, S., Siddiqi, I., Khurshid, K., Vincent, N. and McDonald-Maier, KD., (2017). Classification of Graphomotor Impressions Using Convolutional Neural Networks: An Application to Automated Neuro-Psychological Screening Tests

ur Rehman, N., Naveed, K., Ehsan, S. and McDonald-Maier, K., (2016). Multi-scale image denoising based on goodness of fit (GOF) tests

Minhas, S., Hernández-Sabaté, A., Ehsan, S., Díaz-Chito, K., Leonardis, A., López, AM. and McDonald-Maier, KD., (2016). LEE: A photorealistic virtual environment for assessing driver-vehicle interactions in self-driving mode

Ferrarini, B., Ehsan, S., Rehman, NU., Leonardis, A. and McDonald-Maier, KD., (2016). Automatic Selection of the Optimal Local Feature Detector

Ferrarini, B., Ehsan, S., Rehman, NU. and McDonald-Maier, KD., (2015). Performance characterization of image feature detectors in relation to the scene content utilizing a large image database

Ehsan, S., Clark, AF., Ferrarini, B., Rehman, NU. and McDonald-Maier, KD., (2015). Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices

Zhai, X., Appiah, K., Ehsan, S., Cheung, WM., Howells, G., Hu, H., Gu, D. and McDonald-Maier, K., (2014). Detecting Compromised Programs for Embedded System Applications

Rehman, N., Khan, MM., Sohaib, MI., Jehanzaib, M., Ehsan, S. and McDonald-Maier, K., (2014). Image fusion using multivariate and multidimensional EMD

Ehsan, S. and Mcdonald-Maier, KD., (2014). An Assessment of Recent Attacks on Specific Embedded Systems

Appiah, K., Zhai, X., Ehsan, S., Cheung, WM., Hu, H., Gu, D., McDonald-Maier, K. and Howells, G., (2013). Program Counter as an Integrated Circuit Metrics for Secured Program Identification

Zhai, X., Appiah, K., Ehsan, S., Hu, H., Gu, D., McDonald-Maier, K., Cheung, WM. and Howells, G., (2013). Application of ICmetrics for Embedded System Security

Zhai, X., Appiah, K., Ehsan, S., Cheung, WM., Hu, H., Gu, D., McDonald-Maier, K. and Howells, G., (2013). A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features

Ehsan, S., Clark, AF., Cheung, WM., Bais, AM., Menzat, BI., Kanwal, N. and McDonald-Maier, KD., (2011). Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine

Kanwal, N., Ehsan, S., Bostanci, E. and Clark, AF., (2011). Evaluating the angular sensitivity of corner detectors

Kanwal, N., Ehsan, S., Bostanci, E. and Clark, AF., (2011). A statistical approach for comparing the performances of corner detectors

Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, KD., (2011). Measuring the Coverage of Interest Point Detectors

Kanwal, N., Ehsan, S. and Clark, AF., (2011). Are Performance Differences of Interest Operators Statistically Significant?

Ehsan, S., Clark, AF., Cheung, WM., Bais, AM., Menzat, BI., Kanwal, N. and McDonald-Maier, KD., (2011). Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine.

Ehsan, S., Clark, AF. and McDonald-Maier, KD., (2009). Novel Hardware Algorithms for Row-Parallel Integral Image Calculation

Ehsan, S. and McDonald-Maier, KD., (2009). Exploring Integral Image Word Length Reduction Techniques for SURF Detector

Ehsan, S., Clark, AF. and McDonald-Maier, KD., (2009). Hardware Based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions

Ehsan, S. and McDonald-Maier, KD., (2009). On-Board Vision Processing for Small UAVs: Time to Rethink Strategy

Ehsan, S. and McDonald-Maier, KD., (2009). On-Board Vision Processing for Small UAVs: Time to Rethink Strategy.

Reports and Papers (2)

Ferrarini, B., Ehsan, S., Leonardis, A., Rehman, NU. and McDonald-Maier, KD., (2018). Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database

Kalliatakis, G., Ehsan, S. and McDonald-Maier, KD., (2017). A Paradigm Shift: Detecting Human Rights Violations Through Web Images

Grants and funding

2018

National Centre for Nuclear Robotics (NCNR)

Engineering and Physical Sciences Research Council

2016

Robust remote sensing for multi-modal characterisation in nuclear and other extreme environments.

Engineering & Physical Sciences Res.Council

Contact

sehsan@essex.ac.uk
+44 (0) 1206 872343

Location:

4B.525, Colchester Campus