School of Engineering, Information Technology and Physical Sciences

Dr Gour Karmakar - Research

Graduate research supervisions

Current PhD supervisions:

Student: Zaman, A.

  • Thesis title: Trusted learning systems for cyber security applications
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate), Firmin, S. (Associate)

Student: Buurman, B

  • Thesis title: Signal propagation characteristics in under- and above-ground sensor communications in precision agriculture
  • Supervisors: Kamruzzaman, J (Main), Dahlhaus, P (Associate),  Karmakar, G (Associate), Hardie, M (Co-Supervisor)

Student: Islam, M

  • Thesis title: Enhancing trustworthiness of sensed data in the Internet of Things environment
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate), Murshed, M (Associate), Kahandawa, G (Associate)

Student: Tania, S

  • Thesis title: Multiview and free viewpoint video for digital crime scene reconstruction and analyses
  • Supervisors: Murshed, M (Main), Teng, SW (Associate), Karmakar, G (Associate)

Student: Chundhoo, V

  • Thesis title: TPM application within the food manufacturing industry in Australia
  • Supervisors: Chattopadhyay, G (Main), Karmakar, G (Associate), Kahandawa, G (Associate)

Completed PhD supervisions:

Student: Chowdhury, A.

  • Thesis title: Enhancing Service Quality and Reliability in Intelligent Traffic System
  • Year completed: 2020 (submitted)
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate)

Student: Dinh, LTN

  • Thesis title: Semantic manipulation and business context in big data analytics
  • Year completed: 2019
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate), Stranieri, A (Associate)

Student: Das, R

  • Thesis title: Opinion formation modelling in online social networks
  • Year completed: 2017
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate)

Student: Kaisar, S

  • Thesis title: Content sharing using smart mobile devices in irregular meeting places
  • Year completed: 2017
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate), Iqbal, G (Associate)

Student: Youseph, ASK

  • Thesis title: A nonlinear modeling framework using Michaelis-Menten kinetics for reconstruction of gene regulatory network
  • Year completed: 2017
  • Supervisors: Chetty, M (Main), Karmakar, G (Associate)

Student: Nowsheen, N

  • Thesis title: Reliable data delivery protocols for underwater sensor networks
  • Year completed: 2014
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate)

Student: Hassan, R

  • Thesis title: Dynamic spectrum trading model for cognitive radio networks
  • Year completed: 2013
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate)

Student: Pervin, S

  • Thesis title: QoS-aware query processing for wireless sensor networks
  • Year completed: 2013
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate)

Student: Alam, K

  • Thesis title: An event detection framework for wireless sensor networks
  • Year completed: 2013
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Associate), Murshed, M (Associate)

Student: Sadat, A

  • Thesis title: Reliable and energy efficient cluster-based routing protocols for wireless sensor networks
  • Year completed: 2011
  • Supervisors: Karmakar, G (Main), Green, D (Associate), Zaslavsky, A (Associate)

Student: Ahmed, S

  • Thesis title: Environment aware location service for mobile ad hoc networks
  • Year completed: 2010
  • Supervisors: Karmakar, G (Joint-Co), Kamruzzaman, J (Joint)

Student: Ahmed, R

  • Thesis title: Shape and texture for object-based video segmentation
  • Year completed: 2007
  • Supervisors: Karmakar, G (Main)

Student: Sohel, F.

  • Thesis title: Vertex-based shape coding framework
  • Year completed: 2007
  • Supervisors: Karmakar, G (Main)

Student: Ameer Ali, M

  • Thesis title: Generic shape-based fuzzy clustering framework for image segmentation
  • Year completed: 2006
  • Supervisors: Dooley, L (Joint-Co), Karmakar, G (Joint)

Completed Masters by research supervisions:

Student: Buurman, B

  • Thesis title: Intelligent Sewer Blockage Detection System using Internet of Things
  • Year completed: 2019
  • Supervisors: Kamruzzaman, J (Main), Karmakar, G (Joint)

Student: Khan, A

  • Thesis title: Energy harvesting aware clustering-based routing protocols for wireless sensor networks
  • Year completed: 2014
  • Supervisors: Karmakar, G (Joint-co), Kamruzzaman, J (Joint)

Student: Al-Mamun, M

  • Thesis title: Enhanced QoS centric backoff algorithm for Wireless Sensor Network
  • Year completed: 2013
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate)

Student: Mathew, M

  • Thesis title: Mobile Tourist Identification Framework
  • Year completed: 2010
  • Supervisors: Karmakar, G (Main), Kamruzzaman, J (Associate)

Current research projects

Industry Funded Projects:

  1. Oceania Cyber Security Centre (Industry Partner - Westpac Bank) grant, A$80,388 (2019-2020) - Spam email categorization using natural language processing and attention-embedded deep learning
  2. APRINTERN and MaxiTRANS (Industry Partner), A$26,000 (2019-2020)- Numerical Control Algorithms for the truck of the future
  3. SoEITPS Research Grant Scheme 2019 (RSP), A$4738.26 (2019) - Water Quality Monitoring through the Internet of Things

Other Projects:

Project title: Evaluating trustworthiness of an Internet of Things agent

Project outline:

The thrust for automation using the Internet of Things (IoT) across the world requires assessing the trustworthiness of an interactive IoT agent on the fly using the footprint left as big data in both physical and virtual spaces.  Existing approaches lack in adopting an effective principle for measuring trust. These approaches exploit social interactions, relationships, and other available information.

In this project, using big data, an innovative approach for the trustworthiness measure of an IoT agent based on the ethical model(s) and other well-accepted and intuitive ways used in measuring the trust for the real-world applications will be formulated.  The outcome of this project will increase the speed of automation and promote reliable and cost-effective solutions for many industrial and government sectors related to security, data forensic, transportation, water, financial and health.

Project title:  Making a system smart through Internet of Things

Project outline:  

Internet of Things is rapidly increasing the speed of automation and adding greater value by introducing innovative services and management systems in business organisations. However, there are needs to investigate the introduction of appropriate automatic event detection systems and data analytic techniques that can detect events and capture the value of the data generated by those events specific to industrial applications and management systems.

Firstly, this project aims to explore the industrial sectors on innovative services and management systems, discover the events that can make the systems smart and provide cost-effective and value-adding innovative services. Next, it will develop relevant event detection methods and event-centric data analytic techniques. Finally, the complete system will be assessed considering several industrial applications related to transportation, surveillance, financial, water, health, and law enforcement. The direct outcome of this project will promote automation and cost-effective and innovative solutions for many cutting-edge problems existing in the government and industrial sectors.

Research publications/conferences

Dr Gour Karmakar’s publications – 153 publications that include two edited books, eight book chapters, 34 journal articles ([CORE Rank 4A*, 13A and one JCR IF 22.973] or [JCR/SJR Rank 19Q1]) and 109 conference papers (CORE Rank 21A and 43B).

Edited Books:

  1. G. Karmakar, and L. S. Dooley, “Mobile Multimedia Communications: Concepts, Applications, and Challenges,” Information Science Reference (an imprint of IGI Global), New York, USA, 2008.
  2. G. C. Karmakar (Editor), “Computer Peripherals (Bengali medium),” Written by Sushil Kumar Paul, Bangladesh Technical Education Board, Agargaon, Sher-e- Bangla Nagar, Dhaka-1207, Bangladesh, 2000.

    Book Chapters:

  3. A. Chowdhury, G. Karmakar and J. Kamruzzaman, “The Co-Evolution of Cloud and IoT Applications: Recent and Future Trends,”  Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization, Edited by S. Singh and R. M. Sharma, IGI Global, New York, USA, 213—234, 2019.
  4. G. Chattopadhyay, M. Schuetz, G. Karmakar, S. Halder, S. Rashford, Y. Oh and S. Mishra, “Integrated Trauma Management System,” Healthcare Systems Management: Methodologies and Applications edited by P. K. Ray and J. Maiti, Springer, 23-34, 2018.
  5. A. Chowdhury, G. Karmakar and J. Kamruzzaman, “Survey of Recent Cyber Security Attacks on Robotic Systems and Their Mitigation Approaches,”  Detecting and Mitigating Robotic Cyber Security Risks, Edited By R. Kumar, P. K. Pattnaik and P. Pandey, IGI Global, New York, USA,  284-299, 2017.
  6. J. Kamruzzaman, AKM Azad, N.C. Karmakar, G. C. Karmakar and B. Srinivasan, “Security and Privacy Issues in RFID System,”  Chipless Radio Frequency Identification: System for Ubiquitous Taggings, Edited by Nemai C Karmakar, Information Science Reference (an imprint of IGI Global), New York, USA, 16-40, 2013.
  7. G. C. Karmakar, L. S. Dooley, N. C. Karmakar and J. Kamruzzaman. “Object Analysis with Visual Sensors and RFID,” Chipless Radio Frequency Identification: System for Ubiquitous Taggings, Edited by Nemai C Karmakar, Information Science Reference (an imprint of IGI Global), New York, USA, 234-250, 2012.
  8. G. Karmakar, L. S. Dooley and M. Mathew, “Introduction to Mobile Multimedia Communications,” Mobile Multimedia Communications: Concepts, Applications, and Challenges, Edited by G. Karmakar, and L. S. Dooley, Information Science Reference (an imprint of IGI Global), New York, USA, 2008.
  9. F. A. Sohel,  G. Karmakar and L. S. Dooley, “Video Coding for Mobile Communications,” Mobile Multimedia Communications: Concepts, Applications, and Challenges, Edited by G. Karmakar, and L. S. Dooley, Information Science Reference (an imprint of IGI Global), New York, USA, 2008.
  10. G. C. Karmakar, L. S. Dooley, and M. R. Syed, “Review of fuzzy image segmentation techniques,” Design and Management of Multimedia Information Systems: Opportunities and Challenges, Ed. Syed Mahbubur Rahman, IDEA GROUP, 282–313, 2001.

    Refereed Journal Articles:

  11. A. Chowdhury, G. Karmakar and J. Kamruzzaman, " Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications," IEEE Transactions on Industrial Informatics, 2020, DOI: 10.1109/TII.2020.2987431 (Early Access, Impact Factor 7.377, JCR Quartile Q1).
  12. L. Dinh, G. Karmakar and J. Kamruzzaman, A Survey on Context Awareness in Big Data Analytics for Business Applications,' Knowledge and Information Systems (KAIS), Springer,  Accepted on 11 February 2020 (Impact Factor 2.397, SJR Quartile Q1).
  13. B. Buurman, J. Kamruzzaman, G. Karmakar and S. Islam, “Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges,” IEEE Access, 8, pp.17179-17220, 2020 (Impact Factor 4.098, JCR Quartile Q1).
  14. G. Karmakar, R. Das and J. Kamruzzaman, “IoT Sensor Numerical Data Trust Model using Temporal Correlation,” IEEE Internet of Things Journal (Early Access), 2019 (Impact Factor 9.515, JCR Quartile Q1, SJM-Rank:#3/269 in Information Systems).
  15. R. Das, G. Karmakar and J. Kamruzzaman, "How much I can Rely on You: Measuring Trustworthiness of a Twitter User," IEEE Transactions on Dependable and Secure Computing (Early Access), 2019, DOI: 10.1109/TDSC.2019.2929782 (Impact Factor 6.404, Core rank A, JCR Quartile Q1, JCR Rank: #2/107 in Computer Science, Software Engineering).
  16. S. K. Youseph, M. Chetty and G. Karmakar, "Reverse Engineering Genetic Networks Using Nonlinear Saturation Kinetics," BioSystems, 182, 30-41, 2019 (Impact Factor 1.623, SJR Quartile Q2).
  17. R. Das, J. Kamruzzaman and G. Karmakar, "Opinion Formation in Online Social Networks: Exploiting Predisposition, IEEE Transactions on Computational Social Systems, 6(3), 554-566, 2019 (SJR Quartile Q2, CiteScore 4.00 and within top 3% of social sciences journals).
  18. S. Kaisar, J. Kamruzzaman and G. Karmakar, "A Dynamic Content Distribution Scheme for Decentralized Sharing in Tourist Hotspots," Journal of Network and Computer Applications, 129, 9-24, 2019 (Impact Factor 5.273, Core Rank A, JCR Quartile Q1, SJM-Rank: #6/152 in Hardware and Architecture).
  19. J. Kamruzzaman, G. Wang, G. Karmakar, I. Ahmad and M. Z. A. Bhuiyan, "Acoustic Sensor Networks in the Internet of Things Applications," Future Generation Computer Systems, 86, 1167-1169, 2018 (Citations 8, Impact Factor 5.768, Core Rank A, JCR Quartile Q1).
  20. A.S.K. Youseph, M. Chetty and G. Karmakar, “PCA based population generation for genetic network optimization,” Cognitive Neurodynamics, 12, 417–429, 2018 (Impact Factor 3.021, JCR Quartile Q2).
  21. G. Karmakar, J. Kamruzzaman and N. Nowsheen, "An Efficient Data Delivery Mechanism for AUV-based Ad hoc UASNs," Future Generation Computer Systems, 86, 1193-1208, 2018 (Impact Factor 5.768, Core Rank A, JCR Quartile Q1).
  22. R. Das, J. Kamruzzaman and G. Karmakar, “Modelling majority and expert influences on opinion formation in online social networks,” World Wide Web, 21(3), 663–685, 2018 (Impact Factor 1.77, Core Rank A, JCR Quartile Q2).
  23. R. Hassan, G. Karmakar, J. Kamruzzaman and B. Srinivasan, “Exclusive Use Spectrum Access Trading Models in Cognitive Radio Networks: A Survey," IEEE Communications Surveys & Tutorials, 19(4), 2192-2231, 2017 (Impact Factor 22.973, JCR-Rank: #1/502 in computer science and its associated domain for the last five four years, the only journal of computer science category whose impact factor≥20,  JCR Quartile Q1).
  24. S. Kaisar, J. Kamruzzaman, G. Karmakar, and I. Gondal, "Decentralized Content Sharing Among Tourists in Visiting Hotspots," Journal of Network and Computer Applications, 75, 25-40, 2017 (5-Impact Factor 5.273, Core Rank A, JCR Quartile Q1, SJM-Rank: #6/152 in Hardware and Architecture).
  25. N. Nowsheen, G. Karmakar and J. Kamruzzaman, “PRADD: A Path Reliability-Aware Data Delivery Protocol for Underwater Acoustic Sensor Networks,” Journal of Network and Computer Applications, 75, 385-397, 2016 (Impact Factor 5.273, Core Rank A, JCR Quartile Q1, SJM-Rank: #6/152 in Hardware and Architecture).
  26. R. Hassan, G. Karmakar, J. Kamruzzaman and B. Srinivasan, “A comprehensive spectrum trading scheme based on market competition, reputation and buyer specific requirements,” Computer Networks, 84, 17-31, 2015 (Impact Factor 3.03, CORE rank A, JCR Quartile Q1).
  27. K. M. Alam, J. Kamruzzaman, G. Karmakar and M. Murshed, “Dynamic adjustment of sensing range for event coverage in wireless sensor networks,” Journal of Network and Computer Applications, 46, 139-153, 2014 (Impact Factor 5.273, Core Rank A, JCR Quartile Q1, SJM-Rank: #6/152 in Hardware and Architecture).
  28. R. Hassan, G. Karmakar and J. Kamruzzaman, "Reputation and user requirement based price modeling for dynamic spectrum access,” IEEE Transactions on Mobile Computing, 13(09), 2128-2140, 2014 (Impact Factor 4.474, CORE rank A*, JCR Quartile Q1, AM-Rank:#4 in Computer Network).
  29. F. A. Sohel, G. C. Karmakar, L. S. Dooley and M. Bennamoun, “Sliding-Window Designs for Vertex-based Shape Coding,”  IEEE Transactions on Multimedia, 14(3), 683-692, 2012 (Impact Factor 5.452, CORE rank A, JCR Quartile Q1, GSM-Rank: #1 in Multimedia and SJM-Rank: #1/66 in Media Technology).
  30. F. A. Sohel, G. C. Karmakar, L. S. Dooley and M. Bennamoun, “Geometric distortion measurement for shape coding: a contemporary review,” ACM Computing Surveys, October 43(4), 2011 (Impact Factor 6.131, CORE rank A*, JCR Quartile Q1. SJM-Rank: #2/204 in General Computer Science. This was the highest IF among all computer science journals in 2008).
  31. F. A. Sohel, G. C. Karmakar, L. S. Dooley and M. Bennamoun, “A Bezier Curve-Based Generic Shape Encoder,”  IET Image Processing, 4(2), 92–102, 2010 (Impact Factor 2.004, Former ERA rank B, SJR Quartile Q2).
  32. M. Ameer Ali, G. C. Karmakar, and Laurence S. Dooley, “Detection and separation of generic-shaped objects by fuzzy clustering,” International Journal of Intelligent Computing and Cybernetics (IJICC), 3(3), 365-390, 2010.
  33. S. Ahmed, G. C. Karmakar, and J. Kamruzzaman, “An Environment-Aware Mobility Model for Wireless Ad Hoc Networks,” Computer Networks, 54(19), 1470-1489, 2010 (Impact Factor 3.03, CORE rank A, JCR Quartile Q1).
  34. Y. Arafat, J. Kamruzzaman, G. C. Karmakar and J.  Fernandez-Recio, “Predicting Protein-Protein Interfaces as Clusters of Optimal Docking Area Points,” International Journal of Data Mining and Bioinformatics (IJDMB), 3(1), 55-67, 2009 (Impact Factor 0.789).
  35. M. Ameer Ali, G. C. Karmakar, and Laurence S. Dooley, “Fuzzy clustering for image segmentation using generic shape information,” Malaysian Journal of Computer Science, 21 (2), 2008 (Impact Factor 0.625).
  36. F. A. Sohel, G. C. Karmakar and L. S. Dooley “Dynamic Bezier curves for variable rate-distortion,”  Pattern Recognition, 41(10), 3153-3165, 2008 (Impact Factor 5.898, CORE rank A*, JCR Quartile Q1, GSM-Rank: #6th in Computer Vision & Pattern Recognition).
  37. M. Ameer Ali, G. C. Karmakar, and Laurence S Dooley, “Fuzzy image segmentation considering surface characteristics and feature set selection strategy,” IETECH Journal of Advanced Computations, 2(3), 182-194, 2008.
  38. M. Ameer Ali, G. C. Karmakar, and Laurence S Dooley, “Review on Fuzzy Clustering Algorithms,” IETECH Journal of Advanced Computations, 2(3), 169-181, 2008.
  39. Rakib Ahmed, G. C. Karmakar, and L S Dooley, “Texture as a Pixel Feature for Video Object Segmentation,” Electronics Letters, 44(19), 1126-1127, 2008 (Impact Factor 1.343, Former ERA rank A, SJR Quartile Q2).
  40. F. A. Sohel, G. C. Karmakar, L. S. Dooley, and J. Arkinstall “Quasi-Bezier curves integrating localised information,”  Pattern Recognition, 47(2), 531-542, 2008 (Impact Factor 5.898, CORE rank A*, JCR Quartile Q1, GSM-Rank: #6th in Computer Vision & Pattern Recognition).
  41. F. A. Sohel, G. C. Karmakar, and L. S. Dooley “Fast Distortion Measurement Using Chord-Length Parameterization Within the Vertex-Based Rate-Distortion Optimal Shape Coding Framework,”  IEEE Signal Processing Letters, 14(2), 121-124, 2007 (Impact Factor 3.268, Former ERA rank A, SJR Quartile Q1).
  42. 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, 17(10), 1408-1413, 2007 (Impact Factor 4.046, Former ERA rank B, JCR Quartile Q1, GSM-Rank #2 in Multimedia).
  43. F. A. Sohel, L. S. Dooley, and G. C. Karmakar, “Accurate distortion measurement for generic shape coding,”  Pattern Recognition Letters, 27(2), 132-144, 2006 (Impact Factor 2.81, CORE rank B, SJR Quartile Q1).
  44. G. C. Karmakar and L. S. Dooley, “A generic fuzzy rule based image segmentation algorithm,”  Pattern Recognition Letters, 1215–1227, 2002 (Impact Factor 2.81, CORE rank B, SJR Quartile Q1).

    Refereed Conference Papers:

  45. B. H. Kasthuriarachchy, M. Chetty, G. Karmakar and D. Walls,"Pre-trained Language Models with Limited Data for Intent Classification," The 2020 International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 19-24, 2020.
  46. G. Karmakar, J. Kamruzzaman, S. Islam, G. Chattopadhyay and R. Pai, "Internet of Things for Asset Management: Data Analytics and Security," International Conference on Maintenance and Intelligent Asset Management, Bangalore, India, 17-18 January 2020.
  47. V. Chundhoo, G. Chattopadhyay, G. Karmakar and G. Kahandawa, “Value Stream Mapping in Total Productive Maintenance of a Meat Processing Plant in Australia,” International Conference on Maintenance and Intelligent Asset Management, Bangalore, India, 17-18 January 2020.
  48. M. M. Alam, G. Karmakar, S. Islam, J. Kamruzzaman, M. Chetty, S. Lim, G. Appuhamillage, G. Chattopadhyay, S. Wilcox and V. Verheyen,"Assessing Transformer Oil Quality using Deep Convolutional Networks,"The 29th Australasian Universities Power Engineering Conference (AUPEC2019), Momi Bay, Fiji, 2019.
  49. S. Tania, M. Murshed, S. W. Teng, and G. Karmakar. "Hierarchical Colour Image Segmentation by Leveraging RGB Channels Independently." In Pacific-Rim Symposium on Image and Video Technology, pp. 197-210. Springer, Cham, 2019 (CORE Rank B).
  50. A. Chowdhury, G. Karmakar and J. Kamruzzaman, " Trusted Autonomous Vehicle: Measuring Trust using On-Board Unit Data," SECSOC2019 of the 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications,Rotorua, New Zealand from 5 - 8 August, 2019, Accepted on 28th April 2019 (CORE Rank A).
  51. M. M. Islam, G. Karmakar, J. Kamruzzaman and M. Murshed, " Measuring Trustworthiness of IoT Image Sensor Data Using Other Sensors' Complementary Multimodal Data,” SECSOC2019 of the 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Rotorua, New Zealand from 5 - 8 August, 2019, Accepted on 11th May 2019 (CORE Rank A).
  52. S. Tania, M. Murshed, S. W. Teng, G. Karmakar, "Cuboid Colour Image Segmentation using Intuitive Distance Measure," Image and Vision Computing New Zealand (IVCNZ 2018), 19-21 November, 2018, Auckland, New Zealand (CORE Rank B).
  53. M. M. Islam, G. Karmakar, J. Kamruzzaman, M. Murshed, G. Appuhamillage and N. Parvin, "Detecting Splicing and Copy-Move Attacks in Color Images," Digital Image Computing: Techniques and Applications (DICTA2018), Canberra, Australia, December 10 to 13, 2018 (CORE Rank B).
  54. M. M. Islam, J. Kamruzzaman, G. Karmakar, M. Murshed and G. Kahandawa, "Passive Detection of Splicing and Copy-Move Attacks in Image Forgery," 25th International Conference on Neural Information Processing (ICONIP2018), Siem Reap, Cambodia, December 13 to 16, 2018 (CORE Rank A).
  55. R. Das, J. Kamruzzaman and G. Karmakar, “Influence of Clustering on the Opinion Formation Dynamics in Online Social Networks," 25th International Conference on Neural Information Processing (ICONIP2018), Siem Reap, Cambodia, December 13 to 16, 2018, (CORE Rank A).
  56. A. Chowdhury, G. Karmakar, J. Kamruzzaman and T. Saha, "Detecting Intrusion in the Traffic Signals of an Intelligent Traffic System," 2018 International Conference on Information and Communications Security (ICICS 2018), Lille, France, October 29 to 31, 2018 (CORE Rank B).
  57. R. Pai, G. Chattopadhyay and G. Karmakar, "Tribology and its Importance in Maintenance and Asset Management Practices of Industrial assets," National Convention of IIIE & International Conference (ICIEIND 2018), Campus 1 (ITER), Bhubaneswar, India, 27th to 30th September 2018.
  58. L.T.N. Dinh, G. Karmakar, J. Kamruzzaman, and A. Stranieri, “Significance Level of a Big Data Query by Exploiting Business Processes and Strategies,” Proceedings of the 13th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2018), Trakai, Lithuania, July 1 to 4, 2018 (CORE Rank B).
  59. A.S.K. Youseph, M. Chetty and G. Karmakar, “Large scale modeling of genetic networks using gene knockout data,” ACSW '18 Proceedings of the Australasian Computer Science Week Multiconference, Brisbane, Queensland, Australia, January 29 to February 02, 2018.
  60. L.T.N. Dinh, G. Karmakar, J. Kamruzzaman, and A. Stranieri, “A Rule Based Inference Model to Establish Strategy-Process Relationship,” Proceedings of the 30th International Business Information Management Conference (IBIMA), Madrid, Spain, November 8 to 9, 2017 (CORE rank B).
  61. L.T.N. Dinh, G. Karmakar, J. Kamruzzaman, A. Stranieri and R. Das, “Significance Level of a Query for Enterprise Data,” Proceedings of the 30th International Business Information Management Conference (IBIMA), Madrid, Spain, November 8 to 9, 2017 (CORE rank B).
  62. S. Kaisar, J. Kamruzzaman, G. Karmakar, and I. Gondal, "Dynamic Content Distribution for Decentralized Sharing in Tourist Spots using Demand and Supply," The 13th International Wireless Communications and Mobile Computing Conference (IWCMC),  Valencia, Spain, June 26-30, 2017 (CORE rank B).
  63. R. Das, J. Kamruzzaman and G. C. Karmakar, "Exploiting Evolving Trust Relationships in the Modelling of Opinion Formation Dynamics in Online Social Networks," IEEE AINA, Taipei, Taiwan, March 27-29, 2017 (CORE rank B).
  64. G. Karmakar, G. Chattopadhyay, Z. Xiao and S. Roy, "Dynamically Controlling Exterior and Interior Window Coverings through IoT for Environmental Friendly Smart Homes," IEEE ICM, Federation University Australia, Gippsland, Australia, February 13 to 15, 2017.
  65. R. Das, J. Kamruzzaman and G. Karmakar, "Who are convincing? An experience based opinion formation dynamics in online social networks,” 30th European Simulation and Modelling Conference (ESM), Spain 2016, Selected as one of the five top best papers (CORE rank B).
  66. A.S.K. Youseph, M. Chetty and G. Karmakar, "Exploiting Temporal Genetic Correlations for Enhancing Regulatory Network Optimization," International Conference on Neural Information Processing (ICONIP2016), Kyoto, Japan, October 16 to 21, 2016 (CORE rank A).
  67. S. Kaisar, J. Kamruzzaman, G. Karmakar, and I. Gondal, “Carry Me if You Can: A Utility Based Forwarding Scheme for Content Sharing in Tourist Destinations,” The 22nd Asia-Pacific Conference on Communications, Indonesia, August 25-27, 2016 (CORE rank B).
  68. S. Kaisar, J. Kamruzzaman, G. Karmakar and I. Gondal, "Content exchange among mobile tourists using users’ interest and place-centric activities,” 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 2015 (Received Best Paper Award, CORE rank B).
  69. L. Dinh, G. Karmakar, J. Kamruzzaman and A. Stranieri, "Business context in big data analytics," The 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 2015 (CORE rank B).
  70. R. Das, J. Kamruzzaman and G. Karmakar, “Opinion Formation Dynamics under the Combined Influences of Majority and Experts,” International Conference on Neural Information Processing (ICONIP2015), Istanbul, Turkey, 2015 (CORE rank A).
  71. R. Das, J. Kamruzzaman and G. Karmakar, “Consistency Driven Opinion Formation Modelling in Presence of External Sources,” The International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015 (CORE rank A).
  72. A.S.K. Youseph, M. Chetty and G. Karmakar, “Decoupled Modeling of Gene Regulatory Networks using Michaelis-Menten kinetics,” International Conference on Neural Information Processing (ICONIP2015), Istanbul, Turkey, 2015 (CORE rank A).
  73. A.S.K. Youseph, M. Chetty and G. Karmakar, “Gene Regulatory Network Inference using Michaelis-Menten kinetics,” IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 2015 (CORE rank A).
  74. S. Kaisar, J. Kamruzzaman, G. Karmakar and I. Gondal, “Content Sharing among Visitors with Irregular Movement Patterns in Visiting Hotspots,”  The 14th IEEE International Symposium on Network Computing and Applications (IEEE NCA15), Cambridge, MA USA, 2015 (CORE rank A).
  75. N. Nowsheen, G. Karmakar and J. Kamruzzaman, “MPDF: Movement Predicted Data Forwarding Protocol for Underwater Acoustic Sensor Networks,” The 20th Asia Pacific Conference on Communications (APCC), 2014, Thailand (Received Best Paper Award, CORE rank B).
  76. N. Nowsheen, G. Karmakar and J. Kamruzzaman, “An Adaptive Approach to Opportunistic Data Forwarding in Underwater Acoustic Sensor Networks,” 13th IEEE Symposium on Network Computing & Applications (NCA), 229-236, Cambridge, USA, 2014 (CORE rank A).
  77. E. C. Eklund, G. Karmakar and M. Murshed, “Student Attitudes towards Mobile Learning – a preliminary survey,” Technology Enhanced Learning (TeL2013), 7 October 2013, Singapore (http://www.cdtl.nus.edu.sg/tel2013/abstracts/Tel2013-abstracts.pdf).
  78. N. Nowsheen, G. Karmakar, and J. Kamruzzaman, “An Opportunistic Message Forwarding Protocol for Underwater Acoustic Sensor Networks,” The 19th Asia Pacific Conference on Communications (APCC), pp. 208-213, 2013 (CORE rank B).
  79. G. Meadows, M. Ozmen, S. Patten, J. Brooker, F. Shawyer, J. Kamruzzaman, G. Karmakar, S. Albrecht, F. McDermott, P. Gibbs, L. Gordon-Brown and B. Inder, "Estimating the long term effects on depression prevalence of introducing Mindfulness Based Cognitive Therapy to target depressive relapse; a simulation modelling approach," 14th International Congress of the IFPE ‘The uses of psychiatric epidemiology in improving population mental health' 5-8 June 2013, Leipzig, Germany.
  80. S. Pervin, J. Kamruzzaman and G. Karmakar, “Delay-aware query routing tree for wireless sensor networks,”  11th IEEE Symposium on Network Computing & Applications (NCA), 105-110, Cambridge, USA, 2012 (CORE rank A).
  81. KM Alam, J. Kamruzzaman, G. Karmakar and M. Murshed, “Priority sensitive event detection in hybrid wireless sensor networks,”  21st International Conference on Computer Communications and Networks (ICCCN), 1-7, Munich, Germany, 2012.
  82. Md. Rakib Hassan, G. Karmakar, Joarder Kamruzzaman, “Realistic Pricing Modeling for Dynamic Spectrum Access Network,” IEEE International Conference on Communications (ICC), Ottawa, Canada, 2012 (CORE rank B).
  83. Anwar Sadat, G. Karmakar and David Green, “Joint Optimization of Number and Allocation of Clusters for Wireless Sensor Networks,” IEEE International Conference on Communications (ICC), Ottawa, Canada, 2012 (CORE rank B).
  84. G. Meadows, J. Kamruzzaman, G. Karmakar, B. Inder and S. Patten, "Simulation Modeling in Support of Planning for Service Delivery," 10th Annual International Scientific Conference for Clinicians, Researchers and Educators, Worcester, Massachusetts, USA, 2012.
  85. Md. Rakib Hassan, G. Karmakar, Joarder Kamruzzaman, “Dynamic Bandwidth Access to Cognitive Radio Ad Hoc Networks through Pricing Modeling,”  17th Asia Pacific Conference on Communications (APCC) 2011, Malaysia, 2011 (CORE rank B).
  86. Md. Rakib Hassan, G. Karmakar, Joarder Kamruzzaman, “Maximizing the Concurrent Transmissions in Cognitive Radio Ad Hoc Networks,”  7th International Wireless Communications and Mobile Computing Conference (IWCMC), 466-471, Istanbul, Turkey, 2011 (CORE rank B).
  87. A. Sadat and G. Karmakar, “Optimum Clusters for Reliable and Energy Efficient Wireless Sensor Networks,” NCA, USA, 2011 (CORE rank A).
  88. Shaila Pervin, Joarder Kamruzzaman, G. Karmakar and A K M Azad, “Hybrid In-network Query Processing Framework for Wireless Sensor Networks,” IEEE ICC, Japan, 2011 (CORE rank B).
  89. A. Sadat, G. Karmakar, A. Zaslavsky, and M. Gaber, “Reliable and energy efficient backup clustering scheme for wireless sensor networks,” The International Conference on Information Networking (ICOIN), Busan, North Korea, 2010 (CORE rank B).
  90. Shaila Pervin, Joarder Kamruzzaman and G. Karmakar, “Quality Adjustable Query Processing Framework for Wireless Sensor Networks,” IEEE NCA, USA, 2011 (CORE rank A).
  91. K. M. Alam, J. Kamruzzaman, G. Karmakar, M. Murshed and A K M Azad, “QoS Support in Event Detection in WSN through Optimal k-Coverage,” ICCS, Japan, 2011 (CORE rank A).
  92. K. M. Alam, J. Kamruzzaman, G. C. Karmakar and M. Murshed,” Dynamic Event Coverage in Hybrid Wireless Sensor Networks,” IEEE NCA, USA, 2011 (CORE rank A).
  93. Miraz Al-Mamun, G. C. Karmakar and Joarder Kamruzzaman, “QoS-Centric Collision Window Shaping for CSMA-CA MAC Protocol,” IEEE Global Communications Conference (GLOBECOM), Miami, USA, 2010 (CORE rank B).
  94. Anwar Sadat and G. Karmakar, “Optimal Reliable and Energy Aware Inter-Cluster Communication in Wireless Sensor Networks,” IEEE Asia-Pacific Conference on Communications, Auckland, New Zealand, 2010 (CORE rank B).
  95. Miraz Al-Mamun, G. C. Karmakar and Joarder Kamruzzaman, “A Contender-Aware Backoff Algorithm for CSMA Based MAC Protocol for Wireless Sensor Network,” IEEE Asia-Pacific Conference on Communications, Auckland, New Zealand, 2010 (CORE rank B).
  96. Anwar Sadat and G. Karmakar, “A Trade-Off Between Reliability and Energy Efficiency for Inter-cluster Communication in Wireless Sensor Networks,” IEEE 12th International Conference on High Performance Computing and Communications, Melbourne, Australia, 573-578, 2010 (CORE rank B).
  97. A. Sadat, G. Karmakar, A. Zaslavsky, and M. M. Gaber, “Reliable and Energy Efficient Backup Clustering Scheme for Wireless Sensor Networks,”  24th Edition of the International Conference on Information Networking (ICOIN), Busan, Korea, 2010 (CORE rank B, received best paper award).
  98. S. Ahmed, G. C. Karmakar, and J. Kamruzzaman, “Hierarchical Adaptive Location Service Protocol for Wireless Ad Hoc Network,” IEEE Wireless Communications and Networking Conference (WCNC), Hungary, 2009 (CORE rank B).
  99. M. Matthew, G. Karmakar, and J. Kamruzzaman, “Predicting Mobile Tourists,” International Conference on e-Commerce, e-Administration, e-Society, and e-Education (e-CASE 2009), Singapore, 2009.
  100. S. Ahmed, G. C. Karmakar, and J. Kamruzzaman, “Geographic Constraint Mobility Model for Ad Hoc Network,”  IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Baltimore, USA, 337-346, 2008 (CORE rank A).
  101. Ferdous A. Sohel, G. C. Karmakar and Laurence S. Dooley, “Image-dependent spatial shape-error concealment,”  International Conference on Signal Processing (ICSP'08), Beijing, China, 2008.
  102. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Efficient probabilistic spatio-temporal video object segmentation,”  International Conference on Computer and Information Science (ICIS 2007), Melbourne, Australia (CORE rank C).
  103. F. A. Sohel, G. C. Karmakar, and L. S. Dooley, “Bezier curve-based character descriptor considering shape information,” International Conference on Computer and Information Science (ICIS 2007), Melbourne, Australia (CORE rank C).
  104. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Automatic video background replacement using shape-based probabilistic spatio-temporal object segmentation,”  International Conference on Information, Communications & Signal Processing, 2007.
  105. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Incorporation of texture information for joint spatio-temporal probabilistic video object segmentation,” IEEE International Conference on Image Processing (ICIP-07), San Antonio, TX, USA, 6, 293-296, 2007 (CORE rank B).
  106. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Probabilistic spatio-temporal video object segmentation using a priori shape descriptor,”  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-07), 1, 15-20, 2007 (CORE rank B).
  107. S. Ahmed, G. C.  Karmakar and J.   Kamruzzaman, “Evaluating Performance of Location Service Protocols of Ad-Hoc Wireless Network in Real-World Environment Model,” International Conference on Wireless Communications, Networking and Mobile Computing (WiCom 2007), 1577-1580, 2007.
  108. 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,” IEEE International Conference on Image Processing (ICIP-06), Atlanta, USA, 2461-2464, 2006 (CORE rank B).
  109. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Region-Based Shape Incorporation for Probabilistic Spatio-Temporal Video Object Segmentation,” IEEE International Conference on Image Processing (ICIP-06), Atlanta, USA, 2445-2448, 2006 (CORE rank B).
  110. R. Ahmed, G. C. Karmakar, and L. S. Dooley, “Probabilistic Spatio-Temporal Video Object Segmentation Incorporating Shape Information,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-06), 2, 14-19, 2006 (CORE rank B).
  111. M. Ameer Ali, L. S. Dooley, and G. C. Karmakar, “Object based image segmentation using fuzzy clustering,” International Conference on Acoustics, Speech and Signal Processing (ICASSP-06), 2, 105-108, 2006 (CORE rank B).
  112. M. Z. Rahman, L. S. Dooley, and G. C. Karmakar, “Optimisation of the maximum likelihood method using bias minimisation,” International Conference on Acoustics, Speech and Signal Processing (ICASSP-06), 3, 369-372, 2006 (CORE rank B).
  113. M. Z. Rahman, L. S. Dooley, and G. C. Karmakar, “Efficient Source Localisation in Wireless Sensor Networks Using a Minimum Number of Sensors,” First International Conference on Next-Generation Wireless Systems (ICNEWS-06), Dhaka, 72–76, 2006 (Received Outstanding Paper Award).
  114. 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,” International Conference on Signal Processing (ICSP'06), Beijing, China, 2006.
  115. Y. Arafat, J. Kamruzzaman and G. Karmakar, “Prediction of protein-protein interface residues using sequence neighborhood and surface properties,” Lecture Notes in Computer Science, 2006.
  116. Y. Arafat, G. Karmakar, J. Kamruzzaman and J. Fernandez-Recio, “Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching,” IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB'06), 1-8, 2006 (CORE rank C).
  117. D.K. Nag, A.S. Chattopadhyay and G.C. Karmakar, “A comparative analysis of students' attainment levels based on different assessment methods and criteria using different assessors,” UICEE 5th Global Congress on Engineering Education Congress Proceedings, UNESCO International Centre for Engineering Education (UICEE), Clayton Vic Australia, pp. 285-288, 2006.
  118. G. C. Karmakar and D. K. Nag, “Review of on-line tutoring facilities for distance students,” Third Balkan Region Conference on Advance Engineering Education-UNESCO international Centre for Engineering Education, Ministry of Education and Research, Romania and Lucian Balga University of Sibiu, Romania, 181-184, 2005.
  119. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Automatic Feature Set Selection for Merging Image Segmentation Results Using Fuzzy Clustering,” International Conference on Computer and Information Technology (ICCIT’05), Dhaka. Dec 2005 (CORE rank C).
  120. F. A. Sohel, G. C. Karmakar, L. S. Dooley, and J. Arkinstall, “Enhanced Bezier curve models incorporating local information,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-05), Philadelphia, PA, USA, IV 253–256, 2005 (CORE rank B).
  121. F. A. Sohel, L. S. Dooley, and G. C. Karmakar, “A dynamic Bezier curve model,” IEEE International Conference on Image Processing (ICIP-05), Genoa, Italy, 474–477, 2005 (CORE rank B).
  122. F. A. Sohel, G. C. Karmakar, and L. S. Dooley, “A generic shape descriptor using Bezier curves,”  International Conference on Information Technology: Coding and Computing (ITCC-05), Las Vegas, USA, 95–100, 2005 (CORE rank C).
  123. F. A. Sohel, G. C. Karmakar, and L. S. Dooley, “An improved shape descriptor using Bezier curves,” Frist International Conference on Pattern recognition and Machine Intelligence (PReMI'05), Kolkata, India, 401–406, 2005.
  124. F. A. Sohel, L. S. Dooley, and G. C. Karmakar, “A novel half-way shifting Bezier curve model,” IEEE Region 10 Conference (Tencon'05), Melbourne, Australia, 2005 (CORE rank C).
  125. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Fuzzy image segmentation of generic shaped clusters,” IEEE International Conference on Image Processing (ICIP-05), Genoa, Italy, 2005 (CORE rank B).
  126. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Fuzzy image segmentation using shape information,” IEEE International Conference on Multimedia & Expo (ICME 2005), Amsterdam, Netherlands, 2005 (CORE rank B).
  127. M. Ameer Ali, L. S. Dooley, and G. C. Karmakar, “Fuzzy image segmentation combing ring and elliptic shaped clustering algorithms,” International Conference on Information Technology: Coding and Computing (ITCC-05), Las Vegas, USA, 118–122, 2005 (CORE rank C).
  128. F. A. Sohel, G. C. Karmakar, and L. S. Dooley, “An improved shape descriptor using Bezier curves,” Lecture Notes in Computer Science, 3776, 401–406, 2005.
  129. M. Z. Rahman, G. C. Karmakar, and L. S. Dooley, “Passive Source Localization using Power Spectral Analysis and Decision Fusion in Wireless Distributed Sensor Networks,”  International Conference on Information Technology: Coding and Computing (ITCC-05), Las Vegas, USA, 260–264, 2005 (CORE rank C).
  130. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Image segmentation using fuzzy clustering incorporating spatial information,” IASTED Intern. Con. on Artificial Intelligence and Applications, Austria, 878–881, 2004.
  131. M. Ameer Ali, L. S. Dooley, and G. C. Karmakar, “Fuzzy image segmentation considering object surface similarity,” Communication Systems, Networks and Digital Signal Processing (CSNDSP), UK, 516–519, 2004.
  132. F. A. Sohel, L. S. Dooley, and G. C. Karmakar, “A modified distortion measurement algorithm for shape coding,” the 3rd Workshop on the Internet, Telecommunication and Signal Processing (WITSP-04), Adelaide, Australia, 2004.
  133. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Fuzzy Image Segmentation using Suppressed Fuzzy C-Means Clustering (SFCM),” International Conference of Computer and Information Technology (ICCIT-04), Bangladesh, 363–368, 2004 (CORE rank C).
  134. L. S. Dooley, G. C. Karmakar, and M. M. Murshed, “A fuzzy rule-based colour image segmentation algorithm,” International Conference on Image Processing (ICIP-03), Barcelona, Spain, 977–980, 2003 (CORE rank B).
  135. F.A. Sohel, C.M. Rahman and G.C. Karmakar, “Automatic video object segmentation framework from VOP,” 3rd International Conference on Electrical, Electronics and Computer Engineering (ICEECE 03), pp. 192-196, December 2003, Dhaka, Bangladesh.
  136. M. Ameer Ali, G. C. Karmakar, and L. S. Dooley, “Fuzzy Image Segmentation Using Location and Intensity Information,” Third IASTED International Conference on Visualization, Imaging and Processing (VIIP 2003), 399–404, 2003 (CORE rank C).
  137. G. C. Karmakar, L. S. Dooley, and M. M. Murshed, “Fuzzy rule for image segmentation incorporating texture features,” IEEE 2002 International Conference on Image Processing (ICIP-02), Rochester, New York, 797–800, 2002 (CORE rank B).
  138. G. C. Karmakar, L. S. Dooley, and M. M. Murshed, “Image segmentation using modified extended fuzzy rules,” the 7th International Conference on Signal Processing (ICSP-04), Beijing, China, 941–944, 2002.
  139. G.C. Karmakar, L.S. Dooley, and M. Murshed, "New fuzzy rules for improved image segmentation,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2002), Orlando, Florida, USA, 4, 4192-4192, 2002 (CORE rank B).
  140. G. C. Karmakar, S. M. Rahman, and L. S. Dooley, “Object based image ranking using neural networks,” Lecture Notes in Computer Science, 2074, 281–290, 2001.
  141. G. C. Karmakar and L. S. Dooley, “Extended fuzzy rules for image segmentation,” Proceedings ICIP 2001 IEEE International Conference on Image Processing (ICIP 2001), 1099–1102, 2001 (CORE rank B).
  142. G. C. Karmakar and L. S. Dooley, “A generic fuzzy rule based technique for image segmentation,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’2001), 1–4, 2001 (CORE rank B).
  143. G. C. Karmakar and L. S. Dooley, “Analysis of fuzzy clustering and a generic fuzzy rule based image segmentation technique,” Intelligent Multimedia, Computing and Communications Technologies and Applications of the Future, 68–75, 2001 (CORE rank C).
  144. G. C. Karmakar, L. S. Dooley, and S. M. Rahman, “A Survey of Fuzzy Rule Based Image Segmentation Techniques,” IEEE First Pacific-Rim Conference on Multimedia (IEEE-PCM-2000), Sydney NSW, 350–353, 2000 (CORE rank C).
  145. M. M. Murshed, G. C. Karmakar, M. R. Syed, and M. H. Rahman, “A computer mediated teaching and learning scheme for Bangladesh Open University,” 2000 Information Resources Management Association International Conference (IRMA-00), Anchorage, Alaska, U.S.A., 850–852, 2000 (CORE rank B).
  146. G. C Karmakar, Syed M Rahman, and Robert J Bignall,  “Composite features extraction and object ranking,” In the Proceedings of the International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA’99), Vienna, Austria, pp: 134 - 139, 1999 (CORE rank C).
  147. Baikunth Nath, G. C Karmakar, Syed M Rahman, and Bob Bignall, “Classification of Object - Based Images by Adaptive Neural Networks,” In the Proceedings of the International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA’99), Vienna, Austria, pp: 140 - 145, 1999 (CORE rank C).
  148. S. M. Rahman, G. C. Karmaker, and R. J. Bignall. "Features and Indexes for Image Retrieval-Improving Image Classification Using Extended Run Length Features." Lecture Notes in Computer Science 1614, 475-482, 1999.
  149. Syed M Rahman, G. C. Karmakar, and Robert J Bignall, "Improving image classification using extended run length features,”  In the Proceedings of the Third International Conference on Visual Information Systems, Amsterdam, The Netherlands, pp. 475-482, 1999 (CORE rank C).
  150. G. C. Karmakar, Syed M Rahman, and Robert J Bignall, “Object ranking using run length invariant features,” In the Proceedings of the International Symposium on Audio, Video, Image Processing and Intelligent Application (ISAVIIA 98), Baden-Baden, Germany, pp:52-56, 1998 (CORE rank C, received the Best Paper Award).
  151. G. C. Karmakar, Syed M Rahman, and Bob Bignall, “Object based image classification using neural networks,” In the Proceedings of the Fifth Pacific Workshop On Distributed Multimedia Systems (DMS’ 98) Tamkang University, Taipei, Taiwan, pp: 12-16, 1998.
  152. Syed M Rahman, G. C. Karmakar, and Bob Bignall, “Self-organising map for shape based image classification,”  in the Proceedings of the ISCA 13th International Conference on Computers and their Applications, Honolulu, Hawaii U.S.A, pp: 291-94, 1998 (CORE rank C).
  153. G. C. Karmakar, Syed M Rahman, and Bob Bignall, “Colour based image classification using self-organising maps,”  In the Proceedings of the National Conference on Computer and Information Systems (NCCIS’97), Dhaka, Bangladesh, pp: 161-65, December, 1997.

Laboratory members

  • Director of IoT Lab

Professional memberships and associations

  • IEEE

Potential honours and PhD projects

  • PhD Project: Personalise trustworthiness of IoT agents applying character-based ethical model in deep learning

Internal/external web links