Dr Ferdous Sohel
PhD (Monash); BSc (Computer Science & Engineering, BUET)

Senior Lecturer

About me

My main research field is Artificial Intelligence and Image Processing. We investigate advanced image/video analysis and machine learning techniques which can be applied in scene understanding, medical/bio-medical imaging, agricultural monitoring, environmental sustainability measure, remote sensing, and surveillance and monitoring.

Short bio:

Ferdous A Sohel received PhD degree from Monash  University, Australia in 2009. He is currently a Senior Lecturer in Information Technology at Murdoch University, Australia. Prior to joining Murdoch University, he was a Research Assistant Professor/Research Fellow at the School of Computer Science and Software Engineering, The University of Western Australia from January 2008 to mid-2015. His research interests include computer vision, image processing, pattern recognition, multimodal biometrics, scene understanding, robotics, and video coding. He is a recipient of prestigious Discovery Early Career Research Award (DECRA) funded by the Australian Research Council. He is also a recipient of the Early Career Investigators award (UWA) and the best PhD thesis medal form Monash University. He is a member of Australian Computer Society and a senior member the IEEE.

Teaching area

ICT170: Foundations of Computer Systems
This unit introduces students to the fundamentals of computer systems and how they underpin IT infrastructures supporting enterprise processes. Topics include digital logic, memory, storage, processing paradigms, operating systems, programming languages, systems development, deployment and professional ethics. Students will acquire understanding of a computer system’s functional components, their characteristics, performance, interactions and use in IT, plus an appreciation of the role of the IT professional in IT systems.

ICT373: Software Architectures
The objectives of this unit are to study different software architectures and their implications for software design. Major topics include: pipe-filter architecture and regular expressions, Client-Server architecture, batch versus run-time validation design, object-oriented design and UML, dynamic binding and inheritance, event-based architecture, finite state machines and GUI design, Petri Nets, multithreading and synchronisation, layered architectures, design patterns and other architectures. The Java programming language will be used to demonstrate implementations.

Research areas

  • Computer Vision
  • Image Processing
  • Audio-Visual Event Recognition
  • Machine Learning and Image Analysis for Medical Imaging
  • Aerial and Satellite Imaging for Agricultural Monitoring (vegetation indexing, fuel load mapping)
  • 3D Scene Analysis for Robot Navigation and Human Computer Interaction
  • Aerial, Oceanic and Aquatic Imaging for Remote Sensing, Surveillance and Monitoring
  • Thermal Imaging for Heat-Leakage Detection and Environmental Health Monitoring
  • Multimodal Biometrics
  • Video Coding

Current projects

  • Biometrics: Revocable multimodal biometrics
  • Early detection of melanoma
  • Abdominal aortic calcification assessment
  • Abnormal behaviour detection in crowded scenes
  • RGB(D) scene understanding
  • Vision based shark detection and tracking
  • Augmented/Virtual Reality

 

Awards and grants

Selected Grants

  • Office of Learning and Teaching Innovation and Development Grants; title: “Virtual work integrated learning for engineering students”, $270,000, 2016-2018.
  • ARC DECRA (title: Revocable 2D/3D shape-based multimodal hand biometrics for personal identification and verification; $375,000), 2012-2016
  • Applied Research Program (Round 1:- 2012-13) – Shark Hazard Mitigation, Dept. of Commerce, WA Govt., (title: Advanced vision system for automatic shark detection and tracking); $203,234.
  • Group of Eight/DAAD Australian-German Research Co-operation Scheme Funding in 2013 (title: Hyperspectral survey of road conditions by a vehicle mounted multisensor system; $21,368)
  • Endeavour postdoctoral award (title: Shape and texture-based quality metrics for bit-rate allocation for 3D video, collaborator;$23,500).
  • Group of Eight/DAAD Australian-German Research Co-operation Scheme Funding in 2009, (title: Thermal city inventory by means of Gyrocopter TIR image flights; $20,765+€14,184; 2010).
  • UWA Postdoctoral Fellowship Scheme, 2008 (title: Unified Shape-Based Representation of Multimodal Hand Biometrics for Robust Authentication and Identification for Online Banking; $209,046).

Awards

  • 2014: UWA VC’s Research Award for Early Career Investigators.
  • 2008: Mollie Holman Doctoral Medal 2008, Monash University, for the best thesis in the Faculty of Information Technology..
  • 2008: Faculty of Information Technology Doctoral Medal 2008, Monash University, for the best research and research training in the faculty.
  • 2007: Postgraduate Publications Award by Monash University for outstanding research during PhD candidature.

Events and speaking engagements

Tutorials:
CVPR2016: 3D Keypoint Detection and Feature Description

Professional and community service

Professional Organisation

  • Vice Chair (2016 – current), IEEE Western Australia Section
  • Secretary (2013 – 2015), IEEE Western Australia Section

Organising Committee Member

  • International Conference on Computer and Information Technology
  • International Conference on Computer Vision Theory and Applications

 

Doctoral and masters supervisions

We have places for PhD students and postdocs in the research areas of computer vision, image processing, and machine learning. A typical scholarship for PhD covers the tuition fees and provides a living allowance in the range ~$20k-$45k per annum.

Please contact me (f.sohel@murdoch.edu.au), if you are interested.

Current students:

  • Yasir Jan (PhD @ Murdoch)
  • Anupiya Nugaliyadde (PhD @ Murdoch)
  • Neethu Mathai (DIT @ Murdoch)
  • Hudan Studiawan (PhD @ Murdoch)
  • Qazi Imroj Jahan (RMT @ Murdoch)
  • Md. Zakir Hossain (PhD @ Murdoch)

Graduates:

  • Salman Hameed Khan (PhD @ UWA with Dean’s list – Honourable Mention), Research Scientist, Data61-CSIRO, Canberra
  • Umar Asif (PhD @ UWA), IBM Research, Melbourne
  • Mohammad Rafiqul Alam (PhD @ UWA), Planit Software Testing, Perth

Mentees:

Publications

Scholarly Book Chapters (4)

4. A. Mahmood, M. Bennamoun, S. An, F. Sohel, F. Boussaid, R. Hovey, G. Kendrick, and R. B. Fisher, “Deep learning for coral classification,” in Handbook on Neural Computation, P. Samui, S.S. Roy, and V.E. Balas (Eds.) Elsevier, 2017.

3. M. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “A deep neural network for mobile person recognition with audio-visual signals,” in Mobile Biometrics, G. Guo and H. Weschler (Eds.), IET, 2017.

2. M. Bennamoun, Y. Guo, and F. Sohel, “Feature selection for 2D and 3D face recognition,” in Encyclopedia of Electrical and Electronics Engineering. Editor: John G. Webster. John Wiley and Sons Inc. 2015. Invited.

1. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Video Coding for Mobile Communications,” in Mobile Multimedia Communications: Concepts, Applications and Challenges, Idea Group Publishers, pp. 109-150, 2008.

 

Refereed Journal Articles (29)

29. J. Zhang, F. Sohel, M. Bennamoun, H. Bian, and S. An, “A novel fusion method for forward-looking sonar image mosaic,” IET Radar, Sonar & Navigation, accepted 19/06/2017.

28. X. Wang, F. Sohel, M. Bennamoun, Y. Guo, and H. Lei, “Scale space clustering evolution for salient region detection on deformable shapes,” Pattern Recognition, 2017.

27. H. Studiawan, C. Payne, and F. Sohel, “Graph clustering and anomaly detection of access control log for forensic purposes,” Digital Investigation, vol. 21, pp. 76-87, 2017.

26. Q. Ke, S. An, M. Bennamoun, F. Sohel, and F. Boussaid, “SkeletonNet: mining deep part features for 3D action recognition,” IEEE Signal Processing Letters, vol.24, no.6, pp.731-735, 2017.

25. U. Asif, M. Bennamoun, and F. Sohel, “RGB-D object recognition and grasp-detection using hierarchical cascaded forests,” IEEE Transactions on Robotics (T-RO), vol.33, no.3, pp.547-564, 2017.

24. Y. Li, F. Sohel, M. Bennamoun, and H. Lei, “Discriminative feature learning and region consistency activation for robust scene labelling,” Neurocomputing, vol.243, pp.174-186, 2017.

23. M. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “A joint deep Boltzmann machine (jDBM) model for person identification using mobile phone data,” IEEE Transactions on Multimedia, vol.19, no.2, pp.317-326, 2017.

22. S. H. Khan, M. Hayat, M. Bennamoun, R. Togneri, and F. Sohel, “A discriminative representation of convolutional features for indoor scene recognition,” IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3372-3383, 2016.

21. Y. Guo, Y. Lei, L. Liu; Y. Wang, M. Bennamoun, and F. Sohel, “EI3D: Expression-invariant 3D face recognition based on feature and shape matching,” Pattern Recognition Letters, vol.83, no.1, pp. 403-412, 2016.

20. S.H. Khan, M. Bennamoun, F. Sohel, and R. Togneri, “Automatic shadow detection and removal from a single image,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.38, no.3, pp. 431-446, 2016.

19. U. Asif, M. Bennamoun, and F. Sohel, “Unsupervised segmentation of unknown objects in complex environments,” Autonomous Robots, Vol. 40, Issue 5, pp. 805–829, 2016.

18. S.H. Khan, M. Bennamoun, F. Sohel, R. Togneri, and I. Naseem, “Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images,” International Journal of Computer Vision (IJCV), Vol. 117, Issue 1, pp. 1-20, 2016.

17. Y. Guo, M. Bennamoun, F. Sohel, M. Lu, J. Wan, and N. Kwok, “A comprehensive performance evaluation of 3D local feature descriptors,” International Journal of Computer Vision (IJCV), Volume 116, Issue 1, pp. 66-89, January 2016.

16. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, and M. Lu, “A novel local surface feature for 3D object recognition under clutter and occlusion,” Information Sciences, Vol. 293, pp. 196-213, 2015.

15. M.R. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “A confidence-based late fusion framework for audio-visual biometric identification,” Pattern Recognition Letters, Vol. 52, pp. 65-71, 2015.

14. Y. Guo, M. Bennamoun, F. Sohel, M. Lu, and J. Wan, “An integrated framework for 3-D modeling, object detection, and pose estimation from point-clouds,” IEEE Transactions on Instrumentation and Measurement, Vol. 64, No. 3, pp. 683-683, 2015.

13. S. An, F. Boussaid, M. Bennamoun, and F. Sohel, “Quantitative Error Analysis of Bilateral Filtering,” IEEE Signal Processing Letters, vol. 22, no. 2, pp.202-206, 2015.

12. Y. Guo, M. Bennamoun, F. Sohel, M. Lu, and J. Wan, “3D object recognition in cluttered scenes with local surface features: a survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(11): 2270 – 2287, Nov. 2014.

11. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, and M. Lu, “An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling,” IEEE Transactions on Multimedia, vol. 16, no.5, pp.1377-1390, 2014.

10. Y. Guo, F. Sohel, M. Bennamoun, M. Lu, and J. Wan, “Rotational projection statistics for 3D local surface description and object recognition,” International Journal of Computer Vision, vol. 105, pp. 63-86, 2013.

9. F.A. Sohel, G.C. Karmakar, L.S. Dooley, and M. Bennamoun, “Rate-distortion constrained sliding-window designs for vertex-based shape coding,” IEEE Transactions on Multimedia, vol.14, no. 3, pp. 683-692, 2012.

8. F.A. Sohel, G.C. Karmakar, L.S. Dooley, and M. Bennamoun, “Geometric distortion measurement for shape coding: a contemporary review,” ACM Computing Surveys, vol. 43, no. 4, 2011.

7. F.A. Sohel, G.C. Karmakar, L.S. Dooley, and M. Bennamoun, “Bezier curve-based generic shape encoder,” IET Image Processing, vol. 4, no. 2, pp. 92-102, 2010.

6. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Dynamic Bezier curves for variable rate-distortion,” Pattern Recognition, vol. 41, no. 10, pp. 3153-3165, 2008.

5. F.A. Sohel, G.C. Karmakar, L.S. Dooley, and J. Arkinstall, “Quasi-Bezier curves integrating localised information,” Pattern Recognition, vol. 41, no. 2, pp. 531-542, 2008.

4. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “New dynamic enhancements to the vertex-based rate-distortion optimal shape coding framework,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 10, pp. 1408-1413, 2007.

3. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Fast distortion measurement using chord-length parameterisation within the vertex-based rate-distortion optimal shape coding framework,” IEEE Signal Processing Letters, vol. 14, no. 2, pp. 121-124, 2007.

2. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “Accurate distortion measurement for generic shape coding,” Pattern Recognition Letters, vol.27, no.2, pp.133-142, 2006.

1. F.A. Sohel and C.M. Rahman, “Association rule mining in dynamic database using the concept of border sets,” Asian Journal of Information Technology, vol.3, no.7, pp. 508-515, 2004.

 

Refereed International Conference Papers (63)

63. A. Mahmood, M. Bennamoun, S. An, and F. Sohel, “ResFeats: Residual Network Based Features for Image Classification,” IEEE International Conference on Image Processing (ICIP), 17-20 September 2017, Beijing, China.

62. X. Xia, R. Togneri, F. Sohel, and D. Huang, “Frame wise dynamic threshold based polyphonic acoustic event detection,” Interspeech, August 20-24, 2017, Stockholm, Sweden.

61. S. H. Khan, X. He, M. Bennamoun, F. Porikli, F. Sohel, and R .Togneri, “Structured learning for weakly supervised change detection,” International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017.

60. X. Xia, R. Togneri, F. Sohel, and D. Huang, “Random forest regression based acoustic event detection with bottleneck features,” IEEE International Conference on Multimedia and Expo (ICME), July 10-14, 2017, Hong Kong.

59. X. Xia, R. Togneri, F. Sohel, and D. Huang, “Random forest classification based acoustic event detection,” IEEE International Conference on Multimedia and Expo (ICME), July 10-14, 2017, Hong Kong.

58. Q. Ke, M. Bennamoun, S. An, F. Sohel, and F. Boussaid, “A new representation of skeleton sequences for 3D action recognition,” Conference on Computer Vision and Patter Recognition (CVPR), July 2017, Honolulu, HW, USA.

57. S. Shah, U. Nadeem, M. Bennamoun, F. Sohel, and R. Togneri, “Efficient image set classification using linear regression based image reconstruction,” CVPR Biometrics Workshop, July 2017, Honolulu, HW, USA.

56. S. Abidin, R. Togneri, and F. Sohel, “Enhanced LBP texture features from time frequency representations for acoustic scene classification,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017, New Orleans, USA.

55. M. F. Shiratuddin, S. Rai, G. M. Krishnan, M. Newton, X.Wang, F. Sohel, D. Blacker, and M. Byrnes, “A usability evaluation of Neuromender’s upper limb game-based rehabilitation system for stroke survivors,” Int. Conf. Serious Games and Applications for Health (SeGAH), April 2017, Perth, Australia.

54. X. Wang, F. Sohel, M. Bennamoun, Y. Guo, and H. Lei, “Persistence-based interest point detection for 3D deformable surface,” International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP), February 2017, Porto, Portugal.

53. R. Primorac, R. Togneri, M. Bennamoun, and F. Sohel, “Audio-visual biometric recognition via joint sparse representations,” International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, December 4-6, 2016.

52. Q. Ke, M. Bennamoun, S.An, F. Boussaid, and F. Sohel, “Human interaction prediction using deep temporal features,” European Conference on Computer Vision (ECCV), International Workshop on Assistive Computer Vision and Robotics (ACVR), Lecture Notes in Computer Science, vol. 9914, pp. 403-414, October 8-16, 2016, Amsterdam, The Netherlands.

51. J. Zhang, F. Sohel, H. Bian, M. Bennamoun, and S. An, “Forward-looking sonar image registration using polar transform,” MTS/IEEE Conference OCEANS16, September 19-23, 2016, Monterey, CA, USA.

50. A. Mahmood, M. Bennamoun, S. An, F. Sohel, F. Boussaid, R. Hovey, G. Kendrick, and R. B. Fisher, “Automatic annotation of coral reefs using deep learning,” MTS/IEEE Conference OCEANS16, September 19-23, 2016, Monterey, CA, USA.

49. A. Mahmood, M. Bennamoun, S. An, F. Sohel, F. Boussaid, R. Hovey, G. Kendrick, and R. B. Fisher, “Coral classification with hybrid feature representations,” IEEE International Conference on Image Processing (ICIP2016), September 25-28, 2016, Phoenix, USA.

48. U. Asif, M. Bennamoun, and F. Sohel, “Simultaneous dense scene reconstruction and object labeling,” IEEE International Conference on Robotics and Automation (ICRA2016), May 16-21, 2016, Stockholm, Sweden.

47. X. Wang, F. Sohel, M. Bennamoun and H. Lei, “Heat propagation contours for 3D non-rigid shape analysis,” IEEE Winter Conference on Applications of Computer Vision (WACV2016), March 7-9, 2016 in Lake Placid, NY, USA.

46. S. An, M. Hayat, S. Khan, M. Bennamoun, F. Boussaid, and F. Sohel, “Contractive rectifier networks for nonlinear maximum margin classification,” International Conference on Computer Vision (ICCV2015), pp, 2515-2523, December 11-18, 2015, Santiago, Chile.

45. X. Wang, F. Sohel, M. Bennamoun and H. Lei, “Binary Descriptor based on Heat Diffusion for Non-rigid Shape Analysis,” Pacific Rim Symposium on Image and Video Technology (PSIVT2015), November 23-27, 2015, Auckland, New Zealand.

44. M. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “Deep Boltzmann Machines For i-Vector Based Audio-Visual Person Identification,” Pacific Rim Symposium on Image and Video Technology (PSIVT2015), November 23-27, 2015, Auckland, New Zealand.

43. U. Asif, M. Bennamoun, and F. Sohel, “Discriminative Feature Learning for Efficient RGB-D Object Recognition,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2015), September 28 – October 02, 2015, Hamburg, Germany.

42. M. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “A Deep Neural Network for Audio-Visual Person Recognition,” IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), September 8-11, 2015, Arlington, Virginia in the Washington, DC area (USA).

41. S. An, Q. Ke, M. Bennamoun, F. Boussaid, and F. Sohel, “Sign Constrained Rectifier Networks with Applications to Pattern Decompositions,” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), September 7-11, 2015, Porto, Portugal.

40. Y. Li, F. Sohel, M. Bennamoun, and H. Lei, “Outdoor scene labelling with learned features and region consistency activation,” IEEE International Conference on Image Processing (ICIP2015), September 27-30, 2015, Quebec City, Canada.

39. S. Khan, X. He, M. Bennamoun, R. Togneri, and F. Sohel, “Separating objects and clutter in indoor scenes,” Conference on Computer Vision and Pattern Recognition (CVPR2015), June 7-12, Boston, MA, USA.

38. U. Asif, M. Bennamoun, and F. Sohel, “Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees,” IEEE International Conference on Robotics and Automation (ICRA2015), May 26-30, 2015, Seattle, WA, USA.

37. Y. Li, F. Sohel, M. Bennamoun, and H. Lei, “Heterogeneous Multi-column ConvNets with a Fusion Framework for Object Recognition,” IEEE Winter Conference on Applications of Computer Vision (WACV2015), January 6-9, 2015, HI, USA.

36. Y. Guo, M. Bennamoun, F. Sohel, J. Wan, and J. Zhang, “Performance evaluation of 3D local feature descriptors,” Asian Conference on Computer Vision (ACCV2014), November 1-5, 2014, Singapore.

35. S.H. Khan, M. Bennamoun, F. Sohel, and R. Togneri, “Geometry driven semantic labeling of indoor scenes,” European Conference on Computer Vision (ECCV2014), September 6-12 2014, pp 679-694, Zurich, Switzerland.

34. U. Asif, M. Bennamoun, and F. Sohel, “Model-free segmentation and grasp selection of unknown stacked objects,” European Conference on Computer Vision (ECCV2014), September 6-12 2014, pp 659-674, Zurich, Switzerland.

33. U. Asif, M. Bennamoun, and F. Sohel, “A model-free approach for segmenting unknown objects,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2014), September 14-18, 2014, Chicago, IL, USA.

32. S.H. Khan, M. Bennamoun, F. Sohel, and R. Togneri, “Automatic feature learning for robust shadow detection,” Conference on Computer Vision and Pattern Recognition (CVPR2014), June 24-27, 2014, pp. 1931-1938, Columbus, Ohio, USA.

31.  M.R. Alam, M. Bennamoun, R. Togneri, and F. Sohel, “Confidence based rank-level fusion for audio-visual person identification system,” International Conference on Pattern Recognition Applications and Methods (ICPRAM2014), March 6-8, 2014, Angers, France.

30. A. Miraliakbari, M. Hahn, J. Engels, F. Sohel, and M. Bennamoun, “Mobile geo-referenced thermal infra-red imagery recording for leakage detection in urban district heating networks,” Applied Geoinformatics for Society and Environment (AGSE) 2013, pp.58-65.

29. U. Asif, M. Bennamoun, and F. Sohel, “Real-time pose estimation of rigid objects using RGB-D imagery,” IEEE Conference on Industrial Electronics and Applications (ICIEA 2013), Melbourne 2013, pp. 1692- 1699.

28. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, M. Lu, “Shape and color cues for textured 3D object recognition,” IEEE Conference on Industrial Electronics and Applications (ICIEA 2013), Melbourne 2013, pp. 1614-1619.

27. M.R. Alam, R. Togneri, M. Bennamoun, and F. Sohel, “An efficient reliability estimation technique for audio-visual person identification,” IEEE Conference on Industrial Electronics and Applications (ICIEA 2013), Melbourne 2013, pp. 1631 – 1635.

26. A. El-Sallam, M. Bennamoun, A. Lyttle, F. Sohel, and J. Alderson, “A multi-view 3D markerless system for reconstructing athletic techniques,” Workshop on the Applications of Computer Vision (WACV2013), pp. 222-229, January 15-17, 2013, Clearwater, Florida, USA.

25. Y. Guo, M. Bennamoun, F. Sohel, J. Wan, and M. Lu, “3D free form object recognition using rotational projection statistics,” Workshop on the Applications of Computer (WACV2013), pp. 1-8, January 15-17, 2013, Clearwater, Florida, USA.

24. A. El-Sallam, M. Bennamoun, F. Sohel, J. Alderson, A. Lyttle, and T. Warburton, “A low cost visual hull based markerless system for the optimization of athletic techniques in outdoor environments,” International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP2013), February 21-24, 2013, Barcelona, Spain, pp.49-59.

23.  Y. Guo, F. Sohel, M. Bennamoun, M. Lu, and J. Wan, “TriSI: A distinctive local surface descriptor for 3d modeling and object recognition,” International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP2013), February 21-24, 2013, Barcelona, Spain.

22. Y. Guo, F. Sohel, M. Bennamoun, J. Wan, and M. Lu, “RoPS: A local feature descriptor for free form objects based on rotational projection statistics,” International Conference on Communications, Signal Processing, and Their Applications (ICCSPA2013), February 12-14, 2013, Sharjah, UAE.

21. M.R. Alam, R. Togneri, M. Bennamoun, F. Sohel, and I. Naseem, “Audio visual person identification using linear regression-based classification,” International Conference on Communications, Signal Processing, and Their Applications (ICCSPA2013), February 12-14, 2013, Sharjah, UAE.

20. F. Sohel, C.Thorne, J. Jegathesan, E. Sergeev and M. Bennamoun, “Interdisciplinary learning for final year engineering projects: case studies,” in Proceeding of the 22nd Annual Conference for the Australasian Association for Engineering Education (AAEE), pp. 498-504, Dec 5-7, 2011, Perth, Australia.

19. F.A. Sohel, M. Hahn and M. Bennamoun, “Spatial shape error concealment utilising image texture,” IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), June 21 – 23, 2011, Beijing, China.

18. A. El-Sallam, F.A. Sohel, and M. Bennamoun, “Robust pose invariant shape-based hand recognition,” IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), June 21 – 23, 2011, Beijing, China.

17. F.A. Sohel and M. Bennamoun, “Image dependent spatial shape error concealment for multiple shapes,” International conference on signal-image technology and internet-based systems, SITIS09, November 2009, Morocco.

16. F.A. Sohel and M. Bennamoun, “Distortion measurement using arc-length-parameterisation within a vertex-based shape coding framework,” in Proc. International Conference on Computers and Information technology, ICCIT-08, December 2008, Khulna, Bangladesh.

15. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Image-dependent spatial shape-error concealment,” in Proc. IEEE International Conference on Signal Processing, ICSP-08, pp, 753-756, October 2008, Beijing, China.

14. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Bezier curve-based character descriptor considering shape information,” in Proc. IEEE/ACIS International Conference on Computer and Information Science, ICIS-07, pp. 212-216, July, 2007, Melbourne, Australia.

13. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “Dynamic sliding window width selection strategies for rate-distortion optimal vertex-based shape coding algorithms,” in Proc. International Conference on Signal Processing, ICSP-06, vol.2, November 2006, Guilin, China.

12. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “Variable width admissible control point band for vertex based operational-rate-distortion optimal shape coding algorithms,” in Proc. IEEE International Conference on Image Processing (ICIP2006), pp. 2461-2464, October 2006, Atlanta, GA, USA.

11. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “An improved shape descriptor using Bezier curves,” in Proc. International Conference on Pattern Recognition and Machine Intelligence, PReMI-05, Lecture Notes in Computer Science, Springer Verlag, vol. 3776, pp.401-406, 2005.

10. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “A novel half-way shifting Bezier curve model,” in Proc. IEEE Region 10 Conference, Tencon-05, November, 2005, Melbourne, Australia.

9. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “A dynamic Bezier curve model,” in Proc. IEEE International Conference on Image Processing (ICIP2005), vol. II, pp. 474-477, September, 2005, Genoa, Italy.

8. F.A. Sohel, G.C. Karmakar, and L.S. Dooley, “A generic shape descriptor using Bezier curves,” in Proc. International Conference on Information Technology, ITCC-05, vol. II. pp. 95-100, April, 2005, Las Vegas, Nevada, USA

7. F.A. Sohel, G.C. Karmakar, L.S. Dooley, and J. Arkinstall, “Enhanced Bezier curve models incorporating local information,” in Proc. International Conference on Acoustics, Speech, and Signal Processing, (ICASSP2005), vol. IV, pp. 253-256, March, 2005, Philadelphia, PA, USA.

6. F.A. Sohel, L.S. Dooley, and G.C. Karmakar, “A modified distortion measurement algorithm for shape coding,” in Proc. Workshop on the Internet, Telecommunications and Signal Processing, WITSP-04, December, 2004, Adelaide, Australia.

5. F.A. Sohel, “A new neural network with fuzzy technique: disease diagnosis, a case study,” in Proc. International Conference on Computers and Information technology, ICCIT-03, pp. 713-716, December 2003, Dhaka, Bangladesh.

4. F.A. Sohel and C.M. Rahman, “Association rule mining in dynamic database using the concept of border sets,” in Proc. International Conference on Electrical, Electronics and Computer Engineering, ICEECE-03, pp. 165-170, December 2003, Dhaka, Bangladesh.

3. F.A. Sohel and M. Amiruzzaman, “Fingerprint authentication system using back-propagation,” in Proc. International Conference on Computers and Information technology, ICCIT-03, pp. 722-725, December 2003, Dhaka, Bangladesh.

2. F.A. Sohel, C.M. Rahman, and G.C. Karmakar, “Automatic video object segmentation framework from VOP,” in Proc. International Conference on Electrical, Electronics and Computer Engineering, ICEECE-03, pp. 192-196, December 2003, Dhaka, Bangladesh.

1. C.M. Rahman, F.A. Sohel, P. Naushad, and S.M. Kamruzzaman, “Text classification using the concepts of data mining association rules,” in Proc. International Conference on Information Technology: Prospects and Challenges in the 21st century, ITPC-03, pp. 234-241, May 2003, Kathmandu, Nepal.