2020 applicants
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

    3A.529, Colchester Campus

Profile

Biography

Dr Shoaib Ehsan is an experienced researcher, having won major research accolades, including the British Machine Vision Association's Sullivan Doctoral Thesis Prize (2013), and recognition as a 'Researcher with Exceptional Promise' by the Royal Academy of Engineering (2014). He is also a Senior Member of the IEEE. He has been involved in several EPSRC, ESRC and EU projects and has made significant contributions with his expertise in multiple fields, especially computer vision, embedded systems, robotics and artificial intelligence. Dr Ehsan has a strong track record of inclusive leadership/co-leadership of large international and national research projects and networks. For example, he is currently a Researcher Co-Investigator for the National Centre for Nuclear Robotics (NCNR), which is a £42M initiative by EPSRC, research institutions, industrial collaborators and investment partners. Dr Ehsan is co-leading a team of 12+ research students and post-docs at the University of Essex.

Qualifications

  • PhD University of Essex, (2012)

  • BSc Electrical Engineering University of Engineering and Technology Taxila, (2003)

  • Post Graduate Certificate (PGCert) in Microprocessors and Microcontrollers University of Edinburgh, (2008)

  • Post Graduate Certificate (PGCert) in VLSI Design University of Edinburgh, (2008)

  • Post Graduate Certificate (PGCert) in IP Block Authoring University of Edinburgh, (2008)

Research and professional activities

Research interests

Computer Vision

Open to supervise

Robotics

Open to supervise

Embedded Systems

Open to supervise

Artificial Intelligence

Open to supervise

Teaching and supervision

Previous supervision

Anca Sticlaru
Anca Sticlaru
Thesis title: A Comprehensive Analysis of Straight Line Detection Techniques Using a Novel Noise Dataset
Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 19/3/2020
Ahmad Khaliq
Ahmad Khaliq
Thesis title: Visual Place Recognition Under Severe Viewpoint and Appearance Changes
Degree subject: Computing and Electronic Systems
Degree type: Master of Science (by Dissertation)
Awarded date: 14/1/2020
Grigorios Kalliatakis
Grigorios Kalliatakis
Thesis title: Visual Recognition of Human Rights Violations
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 21/11/2019
Bruno Ferrarini
Bruno Ferrarini
Thesis title: An Approach to Automatic Selection of the Optimal Local Feature Detector
Degree subject: Computing and Electronic Systems
Degree type: Master of Science (by Dissertation)
Awarded date: 23/12/2016

Publications

Journal articles (23)

Khaliq, A., Ehsan, S., Chen, Z., Milford, M. and McDonald-Maier, K., (2020). A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes. IEEE Transactions on Robotics. 36 (2), 561-569

Moetesum, M., Siddiqi, I., Ehsan, S. and Vincent, N., (2020). Deformation modeling and classification using deep convolutional neural networks for computerized analysis of neuropsychological drawings. Neural Computing and Applications

Ferrarini, B., Waheed, M., Waheed, S., Ehsan, S., Milford, MJ. and McDonald-Maier, K., (2020). Exploring Performance Bounds of Visual Place Recognition Using Extended Precision. IEEE Robotics and Automation Letters. 5 (2), 1688-1695

Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2020). CoHOG: A Light-Weight, Compute-Efficient, and Training-Free Visual Place Recognition Technique for Changing Environments. IEEE Robotics and Automation Letters. 5 (2), 1835-1842

Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2020). Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition. IEEE Transactions on Intelligent Transportation Systems, 1-15

Kasap, S., Weber Wachter, E., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Survey of Soft Error Mitigation Techniques Applied to LEON3 Soft Processors on SRAM-Based FPGAs. IEEE Access. 8, 28646-28658

Malik, QW., ur Rehman, N., Gull, S., Ehsan, S. and McDonald-Maier, K., (2019). FPGA based real-time implementation of Bivariate Empirical Mode Decomposition. Circuits, Systems, and Signal Processing. 38 (1), 118-137

Kalliatakis, G., Ehsan, S., Leonardis, A., Fasli, M. and McDonald-Maier, KD., (2019). Exploring Object-Centric and Scene-Centric CNN Features and their Complementarity for Human Rights Violations Recognition in Images. IEEE Access. 7, 10045-10056

Naveed, K., Ehsan, S., McDonald-Maier, K. and ur Rehman, N., (2019). A Multiscale Denoising Framework using Detection Theory with Application to Images from CMOS/CCD Sensors. Sensors. 19 (1), 206-206

Naveed, K., Shaukat, B., Ehsan, S., McDonald-Maier, KD. and Ur Rehman, N., (2019). Multiscale image denoising using goodness-of-fit test based on EDF statistics.. PLoS One. 14 (5), e0216197-e0216197

Ferrarini, B., Ehsan, S., Leonardis, A., Rehman, N. and McDonald-Maier, K., (2018). Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. IEEE Access. 6, 8564-8573

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

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

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

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

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

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

Rehman, NU., Ehsan, S., Abdullah, SMU., Akhtar, MJ., Mandic, DP. and McDonald-Maier, KD., (2015). Multi-scale pixel-based image fusion using multivariate empirical mode decomposition.. Sensors. 15 (5), 10923-10947

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 (37)

Aslam, B., Saha, S., Zaffar, M., Ehsan, S., Zhai, X., Cazzaniga, C., Frost, C., McDonald-Maier, K. and Stolkin, R., Measuring the Degradation of Commercial Cameras Under Fast Neutron Beam

Wachter, E., Kasap, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., A Framework and Protocol for Dynamic Management of Fault Tolerant Systems in Harsh Environments

Lu, Y., Zhai, X., Saha, S., Ehsan, S. and McDonald-Maier, K., A self-scrubbing scheme for embedded systems in radiation environments

Aslam, B., Saha, S., Khanam, Z., Zhai, X., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2020). Gamma-induced Degradation Analysis of Commercial off-the-shelf Camera Sensors

Wachter, EW., Kasap, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Survey of Lockstep based Mitigation Techniques for Soft Errors in Embedded Systems

Ferrarini, B., Ehsan, S., Bartoli, A., Leonardis, A. and McDonald-Maier, KD., (2019). Assessing Capsule Networks with Biased Data

Ferrarini, B., Waheed, M., Waheed, S., Ehsan, S., Milford, M. and McDonald-Maier, KD., (2019). Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors

Khanam, Z., Saha, S., Aslam, B., Zhai, X., Ehsan, S., Cazzaniga, C., Frost, C., Stolkin, R. and McDonald-Maier, K., (2019). Degradation Measurement of Kinect Sensor Under Fast Neutron Beamline

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

Dey, S., Kalliatakis, G., Saha, S., Singh, AK., Ehsan, S. and McDonald-Maier, K., (2018). MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip

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

Saha, S., Ehsan, S., Stoica, A., Stolkin, R. and McDonald-Maier, K., (2018). Real-Time Application Processing for FPGA-Based Resilient Embedded Systems in Harsh Environments

Zaffar, M., Ehsan, S., Stolkin, R. and Maier, KM., (2018). Sensors, SLAM and Long-term Autonomy: A Review

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?

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

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

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

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

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

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

ur Rehman, N., Khan, MM., Sohaib, I., Jehanzaib, M., Ehsan, S. and McDonald-Maier, KD., (2015). Image fusion using multivariate and multidimensional EMD.

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

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

Ehsan, S., Clark, AF., Cheung, WM., Bais, AM., Menzat, BI., Kanwal, N. and McDonald-Maier, K., (2014). Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine

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

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

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

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

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

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

Ehsan, S., Clark, AF. and McDonald-Maier, KD., (2010). Hardware Based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions

Ehsan, S., Kanwal, N., Bostanci, E., Clark, A. and McDonald-Maier, K., (2010). Analysis of interest point distribution in SURF octaves

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). Novel Hardware Algorithms for Row-Parallel Integral Image Calculation

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

Reports and Papers (9)

Zaffar, M., Ehsan, S., Milford, M., Flynn, D. and McDonald-Maier, K., (2020). VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

Kasap, S., Wächter, EW., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Novel Lockstep Technique with Roll-back and Roll-forward Recovery to Mitigate Radiation-Induced Soft Errors

Zaffar, M., Khaliq, A., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions

Zaffar, M., Khaliq, A., Ehsan, S., Milford, M., Alexis, K. and McDonald-Maier, K., (2019). Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?

Khaliq, A., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, KD., (2019). GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits

Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, K., (2019). DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level

Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition

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

Grants and funding

2019

RICE: Visual Place Recognition for Robotics in Extreme Environments

Engineering and Physical Sciences Research Council

RICE: Visual Place Recognition for Robotics in Extreme Environments

Engineering and Physical Sciences Research Council

2018

National Centre for Nuclear Robotics (NCNR)

Engineering and Physical Sciences Research Council

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

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

Engineering & Physical Sciences Res.Council

2015

Human Rights and Information Technology in the Era of Big Data

Economic & Social Research Council

2012

COALAS

INTERREG IVA

RoBoSAS

Engineering & Physical Sciences Res.Council

2010

Adaptive Development Support (ADS-SoC)

Engineering & Physical Sciences Res.Council

Contact

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

Location:

3A.529, Colchester Campus

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