Back to
Dr Imran Razzak
Senior Lecturer

Dr Imran Razzak

PhD Analytics, University of Technology, Sydney, Australia

Graduate Certificate of Higher Education (Learning and Teaching), Deakin University, Geelong, Australia

Engineering
Computer Science and Engineering

 

Imran Razzak a Senior Lecturer in Human-Centered Machine Learning, Postgraduate Coordinator Research (Admission and Scholarship) and Co-Coordinator (SE) at the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was a Senior Lecturer in Computer Science at Deakin University, Geelong (2019-2022) and assistant professor at King Saud bin Abdulaziz University for Health Sciences (2013-2017). Besides, he is Associate Editor of IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Computational Social System. He has served  Chair/co-chair/SPC of dozens of Conferences. His research focus on connecting language and vision for better interpretation and spans over three broad areas: Machine Learning, Computer Vision and Natural Language Processing with special emphasis on healthcare.

You can find more about me at my personal webpage.

 

 

 
E-mail
imran.razzak@unsw.edu.au
Location
401J-K17, UNSW, Sydney
  • Journal articles | 2023
    Qayyum A; Mazher M; Khan T; Razzak I, 2023, 'Semi-supervised 3D-InceptionNet for segmentation and survival prediction of head and neck primary cancers', Engineering Applications of Artificial Intelligence, vol. 117, http://dx.doi.org/10.1016/j.engappai.2022.105590
    Journal articles | 2022
    Anwar S; Rauf A; Ramzan M; Razzak I; Saadatmad M, 2022, 'NLP-SEA 2021 Workshop Summary', ACM SIGSOFT Software Engineering Notes, vol. 47, pp. 15 - 16, http://dx.doi.org/10.1145/3520273.3520279
    Journal articles | 2022
    Arsalan M; Khan TM; Naqvi SS; Nawaz M; Razzak I, 2022, 'Prompt Deep Light-weight Vessel Segmentation Network (PLVS-Net)', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. PP, pp. 1 - 9, http://dx.doi.org/10.1109/TCBB.2022.3211936
    Journal articles | 2022
    Qayyum A; Benzinou A; Razzak I; Mazher M; Nguyen TT; Puig D; Vafaee F, 2022, '3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction', IEEE Journal of Biomedical and Health Informatics, pp. 1 - 9, http://dx.doi.org/10.1109/JBHI.2022.3219445
    Journal articles | 2022
    Qayyum A; Razzak I; Tanveer M; Mazher M, 2022, 'Spontaneous Facial Behavior Analysis using Deep Transformer Based Framework for Child–Computer Interaction', ACM Transactions on Multimedia Computing, Communications, and Applications, http://dx.doi.org/10.1145/3539577
    Journal articles | 2022
    Qazi EUH; Imran M; Haider N; Shoaib M; Razzak I, 2022, 'An intelligent and efficient network intrusion detection system using deep learning', Computers and Electrical Engineering, vol. 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107764
    Journal articles | 2022
    Razzak I; Naz S; Alinejad-Rokny H; Nguyen TN; Khalifa F, 2022, 'A Cascaded Mutliresolution Ensemble Deep Learning Framework for Large Scale Alzheimer's Disease Detection using Brain MRIs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. PP, pp. 1 - 9, http://dx.doi.org/10.1109/TCBB.2022.3219032
    Journal articles | 2022
    Salim S; Moustafa N; Turnbull B; Razzak I, 2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 18, pp. 1 - 19, http://dx.doi.org/10.1145/3537899
    Journal articles | 2021
    Gupta BB; Yadav K; Razzak I; Psannis K; Castiglione A; Chang X, 2021, 'A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment', Computer Communications, vol. 175, pp. 47 - 57, http://dx.doi.org/10.1016/j.comcom.2021.04.023
    Journal articles | 2021
    Naseem U; Razzak I; Khan SK; Prasad M, 2021, 'A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models', ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 20, http://dx.doi.org/10.1145/3434237
    Journal articles | 2021
    Qayyum A; Razzak I; Malik AS; Anwar S, 2021, 'Fusion of CNN and sparse representation for threat estimation near power lines and poles infrastructure using aerial stereo imagery', Technological Forecasting and Social Change, vol. 168, http://dx.doi.org/10.1016/j.techfore.2021.120762
    Journal articles | 2021
    Uddin MA; Ayaz M; Mansour A; Aggoune EHM; Sharif Z; Razzak I, 2021, 'Cloud-connected flying edge computing for smart agriculture', Peer-to-Peer Networking and Applications, vol. 14, pp. 3405 - 3415, http://dx.doi.org/10.1007/s12083-021-01191-6

Imran is currently involved in multiple research projects with internal and external collaborators on Machine Learning, Computer Vision and Natural Language Processing. 

My Research Supervision

  • Syed Javeed- UNSW (2023-2025)
  • Abdullah Mohammed Alsuhaibani-UTS (2022-2024)
  • Hamed Zogan-UTS (2020-2023)
  • Mohammad-UTS (2022-2025)
  • Tanya Boone Sifuentes-Deakin (2019-2023)
  • Ngoc Dung Huynh-Deakin (2022-2025)
  • Pervaiz Khan-DFKI, Germany (2018-2023)
  • Asama Aftab-UTM, Malaysia (2018-2023)

Completed PhDs

  • Saeeda Naz (2017)
  • Syed Sherazi (2018)
  • Saad bin Ahmed (2018)

 

My Teaching