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 is a Senior Lecturer in Human-Centered Machine Learning in the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was as a Senior Lecturer in Computer Science at School of IT, Deakin University, Victoria. His area of research focuses on connecting language and vision for better interpretation of multidimensional data and spans over three broad areas: Machine Learning, Computer Vision, and Natural Language Processing with special emphasis on healthcare and use of natural language to explain the rationale and decision-making process behind the use of machine learning algorithms and models. With a strong background in computer vision and deep learning techniques, he has developed expertise in analysing and interpreting medical images (US, mammogram, CT, PET, MRI, fMRI) to improve patient outcomes. Throughout his career, he has worked on a range of projects that involve developing and implementing machine learning algorithms for medical image analysis. His work has resulted in more than 180 publications in leading journals and conferences in the field of medical image analysis. Through his research, he has made significant contributions to the field of medical image analysis, particularly in the area of early diagnosis. Additionally, he has collaborated with medical professionals to develop tools for early diagnosis of various medical conditions, including cancer, neurodegenerative disease, and heart disease.

You can find more about me at my personal webpage.

 

 

 

Phone
T: +61 293 480 171
Location
401J, K17, UNSW, Sydney
  • Books | 2022
    2022, Proceedings of International Conference on Information Technology and Applications, Ullah A; Anwar S; Rocha Á; Gill S, (eds.), Springer Nature Singapore, http://dx.doi.org/10.1007/978-981-16-7618-5
  • Book Chapters | 2023
    Fung S; Lu X; Mykolaitis M; Razzak I; Kostkevičius G; Ozerenskis D, 2023, 'Anatomical Landmarks Localization for 3D Foot Point Clouds', in Neural Information Processing, Springer International Publishing, pp. 627 - 638, http://dx.doi.org/10.1007/978-3-031-30111-7_53
    Book Chapters | 2023
    Nguyen TT; Nguyen CM; Huynh-The T; Pham QV; Nguyen QVH; Razzak I; Reddi VJ, 2023, 'Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules', in Computational Science – ICCS 2023, Springer Nature Switzerland, pp. 298 - 305, http://dx.doi.org/10.1007/978-3-031-36021-3_30
    Book Chapters | 2023
    Qayyum A; Mazher M; Niederer S; Razzak I, 2023, 'Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision', in Lesion Segmentation in Surgical and Diagnostic Applications, Springer Nature Switzerland, pp. 55 - 62, http://dx.doi.org/10.1007/978-3-031-27324-7_7
    Book Chapters | 2022
    Qayyum A; Mazher M; Niederer S; Meriaudeau F; Razzak I, 2022, 'Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation', in Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, Springer Nature Switzerland, pp. 485 - 493, http://dx.doi.org/10.1007/978-3-031-23443-9_46
    Book Chapters | 2022
    Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2022, 'Improving Coronavirus (COVID-19) Diagnosis Using Deep Transfer Learning', in , pp. 23 - 37, http://dx.doi.org/10.1007/978-981-16-7618-5_3
    Book Chapters | 2021
    Qayyum A; Razzak I, 2021, 'Deep Residual Neural Network for Child’s Spontaneous Facial Expressions Recognition', in Lecture Notes in Computer Science, Springer International Publishing, pp. 282 - 291, http://dx.doi.org/10.1007/978-3-030-73973-7_27
    Book Chapters | 2020
    Khan PI; Razzak I; Dengel A; Ahmed S, 2020, 'Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning', in Neural Information Processing, Springer International Publishing, pp. 776 - 785, http://dx.doi.org/10.1007/978-3-030-63830-6_65
    Book Chapters | 2020
    Qayyum A; Razzak I; Mumtaz W, 2020, 'Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals', in , pp. 245 - 257, http://dx.doi.org/10.1007/978-3-030-63836-8_21
    Book Chapters | 2020
    Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2020, 'RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents', in , pp. 172 - 179, http://dx.doi.org/10.1007/978-3-030-63823-8_21
    Book Chapters | 2020
    Saeed Z; Ayaz Abbasi R; Razzak I, 2020, 'EveSense: What can you sense from Twitter?', in , pp. 491 - 495, http://dx.doi.org/10.1007/978-3-030-45442-5_64
    Book Chapters | 2019
    Saeed S; Naz S; Razzak MI, 2019, 'An application of deep learning in character recognition: An overview', in Smart Innovation, Systems and Technologies, pp. 53 - 81, http://dx.doi.org/10.1007/978-3-030-11479-4_3
    Book Chapters | 2018
    Razzak MI; Naz S; Zaib A, 2018, 'Deep learning for medical image processing: Overview, challenges and the future', in Lecture Notes in Computational Vision and Biomechanics, pp. 323 - 350, http://dx.doi.org/10.1007/978-3-319-65981-7_12
    Book Chapters | 2018
    2018, 'Automated pathology image analysis', in Soft Computing Based Medical Image Analysis, pp. 13 - 29, http://dx.doi.org/10.1016/B978-0-12-813087-2.00026-9
    Book Chapters | 2014
    2014, 'Middle eastern character recognition', in Handbook of Document Image Processing and Recognition, pp. 427 - 457, http://dx.doi.org/10.1007/978-0-85729-859-1_13
  • Journal articles | 2023
    Alyasseri ZAA; Khader AT; Al-Betar MA; Yang XS; Mohammed MA; Abdulkareem KH; Kadry S; Razzak I, 2023, 'Multi-objective flower pollination algorithm: a new technique for EEG signal denoising', Neural Computing and Applications, 35, pp. 7943 - 7962, http://dx.doi.org/10.1007/s00521-021-06757-2
    Journal articles | 2023
    Arsalan M; Khan TM; Naqvi SS; Nawaz M; Razzak I, 2023, 'Prompt Deep Light-Weight Vessel Segmentation Network (PLVS-Net)', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 1363 - 1371, http://dx.doi.org/10.1109/TCBB.2022.3211936
    Journal articles | 2023
    Asim MN; Ibrahim MA; Malik MI; Razzak I; Dengel A; Ahmed S, 2023, 'Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction', Complex and Intelligent Systems, 9, pp. 399 - 419, http://dx.doi.org/10.1007/s40747-022-00802-w
    Journal articles | 2023
    Athar S; Abbasi RA; Saeed Z; Said A; Razzak I; Salim FD, 2023, 'ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information', World Wide Web, http://dx.doi.org/10.1007/s11280-023-01189-5
    Journal articles | 2023
    Ayaz Z; Naz S; Khan NH; Razzak I; Imran M, 2023, 'Automated methods for diagnosis of Parkinson’s disease and predicting severity level', Neural Computing and Applications, 35, pp. 14499 - 14534, http://dx.doi.org/10.1007/s00521-021-06626-y
    Journal articles | 2023
    Hasib KM; Islam MR; Sakib S; Akbar MA; Razzak I; Alam MS, 2023, 'Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey', IEEE Transactions on Computational Social Systems, 10, pp. 1568 - 1586, http://dx.doi.org/10.1109/TCSS.2023.3263128
    Journal articles | 2023
    He W; Xu G; Razzak I, 2023, 'Social responses to the COVID-19 pandemic', Behaviour and Information Technology, 42, pp. 171 - 173, http://dx.doi.org/10.1080/0144929X.2023.2176977
    Journal articles | 2023
    Hong L; Modirrousta MH; Hossein Nasirpour M; Mirshekari Chargari M; Mohammadi F; Moravvej SV; Rezvanishad L; Rezvanishad M; Bakhshayeshi I; Alizadehsani R; Razzak I; Alinejad-Rokny H; Nahavandi S, 2023, 'GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM', CAAI Transactions on Intelligence Technology, http://dx.doi.org/10.1049/cit2.12223
    Journal articles | 2023
    Hu J; Kaur K; Lin H; Wang X; Hassan MM; Razzak I; Hammoudeh M, 2023, 'Intelligent Anomaly Detection of Trajectories for IoT Empowered Maritime Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 2382 - 2391, http://dx.doi.org/10.1109/TITS.2022.3162491
    Journal articles | 2023
    Kausar A; Razzak I; Shapiai MI; Beheshti A, 2023, '3D shallow deep neural network for fast and precise segmentation of left atrium', Multimedia Systems, 29, pp. 1739 - 1749, http://dx.doi.org/10.1007/s00530-021-00776-8
    Journal articles | 2023
    Khan F; Alturki R; Rahman MA; Mastorakis S; Razzak I; Shah ST, 2023, 'Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT', IEEE Transactions on Industrial Informatics, 19, pp. 1030 - 1038, http://dx.doi.org/10.1109/TII.2022.3190352
    Journal articles | 2023
    Khan PI; Razzak I; Dengel A; Ahmed S, 2023, 'Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification', IEEE Transactions on Computational Social Systems, 10, pp. 1140 - 1149, http://dx.doi.org/10.1109/TCSS.2022.3143768
    Journal articles | 2023
    Khan TM; Arsalan M; Razzak I; Meijering E, 2023, 'Simple and robust depth-wise cascaded network for polyp segmentation', Engineering Applications of Artificial Intelligence, 121, pp. 106023 - 106023, http://dx.doi.org/10.1016/j.engappai.2023.106023
    Journal articles | 2023
    Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, 'Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning', Neural Networks, 165, pp. 310 - 320, http://dx.doi.org/10.1016/j.neunet.2023.05.029
    Journal articles | 2023
    Lakhan A; Mohammed MA; Rashid AN; Kadry S; Abdulkareem KH; Nedoma J; Martinek R; Razzak I, 2023, 'Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things', IEEE Journal of Biomedical and Health Informatics, 27, pp. 673 - 683, http://dx.doi.org/10.1109/JBHI.2022.3178660
    Journal articles | 2023
    Naqvi SS; Langah ZA; Khan HA; Khan MI; Bashir T; Razzak MI; Khan TM, 2023, 'GLAN: GAN Assisted Lightweight Attention Network for Biomedical Imaging Based Diagnostics', Cognitive Computation, 15, pp. 932 - 942, http://dx.doi.org/10.1007/s12559-023-10131-w
    Journal articles | 2023
    Nasser N; Emad-ul-Haq Q; Imran M; Ali A; Razzak I; Al-Helali A, 2023, 'A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing', Neural Computing and Applications, 35, pp. 13775 - 13789, http://dx.doi.org/10.1007/s00521-021-06396-7
    Journal articles | 2023
    Qayyum A; Mazhar M; Razzak I; Bouadjenek MR, 2023, 'Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions', Neural Computing and Applications, 35, pp. 16143 - 16155, http://dx.doi.org/10.1007/s00521-021-06636-w
    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, 117, http://dx.doi.org/10.1016/j.engappai.2022.105590
    Journal articles | 2023
    Qayyum A; Razzak I; Tanveer M; Mazher M; Alhaqbani B, 2023, 'High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20, pp. 2587 - 2597, http://dx.doi.org/10.1109/TCBB.2023.3257175
    Journal articles | 2023
    Rashid AH; Razzak I; Tanveer M; Hobbs M, 2023, 'Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection', ISA Transactions, 132, pp. 199 - 207, http://dx.doi.org/10.1016/j.isatra.2022.05.015
    Journal articles | 2023
    Razzak I; Bouadjenek MR; Saris RA; Ding W, 2023, 'Support Matrix Machine via Joint <inline-formula> <tex-math notation="LaTeX">$\ell_{2,1}$</tex-math> </inline-formula> and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data', IEEE Transactions on Neural Networks and Learning Systems, pp. 1 - 12, http://dx.doi.org/10.1109/TNNLS.2023.3293888
    Journal articles | 2023
    Razzak I; Khan MK; Xu G; Khalifa F, 2023, 'Guest Editorial Open and Interpretable AI in Computational Pathology', IEEE Journal of Biomedical and Health Informatics, 27, pp. 1657 - 1660, http://dx.doi.org/10.1109/JBHI.2023.3252839
    Journal articles | 2023
    Rehman A; Khan A; Fatima G; Naz S; Razzak I, 2023, 'Review on chest pathogies detection systems using deep learning techniques', Artificial Intelligence Review, http://dx.doi.org/10.1007/s10462-023-10457-9
    Journal articles | 2023
    Rehman A; Razzak I; Xu G, 2023, 'Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks', IEEE Journal of Biomedical and Health Informatics, 27, pp. 684 - 690, http://dx.doi.org/10.1109/JBHI.2022.3171852
    Journal articles | 2023
    Schiliro F; Moustafa N; Razzak I; Beheshti A, 2023, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, 24, pp. 7485 - 7493, http://dx.doi.org/10.1109/TITS.2022.3166631
    Journal articles | 2023
    Shamsi A; Asgharnezhad H; Bouchani Z; Jahanian K; Saberi M; Wang X; Razzak I; Alizadehsani R; Mohammadi A; Alinejad-Rokny H, 2023, 'A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-023-08930-1
    Journal articles | 2023
    Sharif Z; Jung LT; Razzak I; Alazab M, 2023, 'Adaptive and Priority-Based Resource Allocation for Efficient Resources Utilization in Mobile-Edge Computing', IEEE Internet of Things Journal, 10, pp. 3079 - 3093, http://dx.doi.org/10.1109/JIOT.2021.3111838
    Journal articles | 2023
    Umer S; Sardar A; Rout RK; Tanveer M; Razzak I, 2023, 'IoT-Enabled Multimodal Biometric Recognition System in Secure Environment', IEEE Internet of Things Journal, pp. 1 - 1, http://dx.doi.org/10.1109/JIOT.2023.3299465
    Journal articles | 2023
    Zhao T; Song X; Li M; Li J; Luo W; Razzak I, 2023, 'Distributed Optimization of Graph Convolutional Network Using Subgraph Variance', IEEE Transactions on Neural Networks and Learning Systems, pp. 1 - 12, http://dx.doi.org/10.1109/TNNLS.2023.3243904
    Journal articles | 2023
    Zogan H; Razzak I; Jameel S; Xu G, 2023, 'Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic', IEEE Journal of Biomedical and Health Informatics, pp. 1 - 9, http://dx.doi.org/10.1109/JBHI.2023.3243249
    Journal articles | 2023
    2023, 'Assessment of physiological states from contactless face video: a sparse representation approach', Computing, 105, pp. 761 - 781, http://dx.doi.org/10.1007/s00607-021-01028-3
    Journal articles | 2022
    Abdel-Basset M; Hawash H; Moustafa N; Razzak I; Abd Elfattah M, 2022, 'Privacy-preserved learning from non-iid data in fog-assisted IoT: A federated learning approach', Digital Communications and Networks, http://dx.doi.org/10.1016/j.dcan.2022.12.013
    Journal articles | 2022
    Abdel-Basset M; Moustafa N; Hawash H; Razzak I; Sallam KM; Elkomy OM, 2022, 'Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 2523 - 2537, http://dx.doi.org/10.1109/TITS.2021.3119968
    Journal articles | 2022
    Ahmed M; Moustafa N; Suaib Akhter AFM; Razzak I; Surid E; Anwar A; Shahen Shah AFM; Zengin A, 2022, 'A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19624 - 19633, http://dx.doi.org/10.1109/TITS.2021.3115245
    Journal articles | 2022
    Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648
    Journal articles | 2022
    Anajemba JH; Iwendi C; Razzak I; Ansere JA; Okpalaoguchi IM, 2022, 'A Counter-Eavesdropping Technique for Optimized Privacy of Wireless Industrial IoT Communications', IEEE Transactions on Industrial Informatics, 18, pp. 6445 - 6454, http://dx.doi.org/10.1109/TII.2021.3140109
    Journal articles | 2022
    Beheshti I; Ganaie MA; Paliwal V; Rastogi A; Razzak I; Tanveer M, 2022, 'Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1432 - 1440, http://dx.doi.org/10.1109/JBHI.2021.3083187
    Journal articles | 2022
    Daud A; Islam NU; Li X; Razzak I; Hayat MK, 2022, 'Identifying Rising Stars via Supervised Machine Learning', IEEE Transactions on Computational Social Systems, PP, pp. 1 - 11, http://dx.doi.org/10.1109/TCSS.2022.3178070
    Journal articles | 2022
    Ghodhbani H; Neji M; Razzak I; Alimi AM, 2022, 'You can try without visiting: a comprehensive survey on virtually try-on outfits', Multimedia Tools and Applications, 81, pp. 19967 - 19998, http://dx.doi.org/10.1007/s11042-022-12802-6
    Journal articles | 2022
    Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2022, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, pp. 1 - 12, http://dx.doi.org/10.1109/TEM.2022.3194487
    Journal articles | 2022
    Javed AR; Shahzad F; Rehman SU; Zikria YB; Razzak I; Jalil Z; Xu G, 2022, 'Future smart cities requirements, emerging technologies, applications, challenges, and future aspects', Cities, 129, http://dx.doi.org/10.1016/j.cities.2022.103794
    Journal articles | 2022
    Khan IA; Moustafa N; Razzak I; Tanveer M; Pi D; Pan Y; Ali BS, 2022, 'XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks', Future Generation Computer Systems, 127, pp. 181 - 193, http://dx.doi.org/10.1016/j.future.2021.09.010
    Journal articles | 2022
    Khan PI; Siddiqui SA; Razzak I; Dengel A; Ahmed S, 2022, 'Improving Health Mention Classification of Social Media Content using Contrastive Adversarial Training', IEEE Access, 10, pp. 87900 - 87910, http://dx.doi.org/10.1109/ACCESS.2022.3200159
    Journal articles | 2022
    Khan TM; Khan MAU; Rehman NU; Naveed K; Afridi IU; Naqvi SS; Raazak I, 2022, 'Width-wise vessel bifurcation for improved retinal vessel segmentation', Biomedical Signal Processing and Control, 71, http://dx.doi.org/10.1016/j.bspc.2021.103169
    Journal articles | 2022
    Lefevre K; Arora C; Lee K; Zaslavsky A; Bouadjenek MR; Hassani A; Razzak I, 2022, 'ModelOps for enhanced decision-making and governance in emergency control rooms', Environment Systems and Decisions, 42, pp. 402 - 416, http://dx.doi.org/10.1007/s10669-022-09855-1
    Journal articles | 2022
    Lin JD; Lin HH; Dy J; Chen JC; Tanveer M; Razzak I; Hua KL, 2022, 'Lightweight Face Anti-Spoofing Network for Telehealth Applications', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1987 - 1996, http://dx.doi.org/10.1109/JBHI.2021.3107735
    Journal articles | 2022
    Moustafa N; Khan IA; Hassanin M; Ormrod D; Pi D; Razzak I; Slay J, 2022, 'DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2022.3214652
    Journal articles | 2022
    Naqvi RA; Arsalan M; Qaiser T; Khan TM; Razzak I, 2022, 'Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications', Sensors, 22, http://dx.doi.org/10.3390/s22208058
    Journal articles | 2022
    Qayyum A; Benzinou A; Razzak I; Mazher M; Nguyen TT; Puig D; Vafaee F, 2022, '3D-IncNet: Head and Neck (H&amp;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; Moustafa N; Mazher M, 2022, 'Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children', Image and Vision Computing, 119, http://dx.doi.org/10.1016/j.imavis.2022.104375
    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, 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107764
    Journal articles | 2022
    Rahim MA; Rahman MA; Rahman MM; Zaman N; Moustafa N; Razzak I, 2022, 'An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health', IEEE Transactions on Green Communications and Networking, 6, pp. 1298 - 1306, http://dx.doi.org/10.1109/TGCN.2022.3179350
    Journal articles | 2022
    Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 23771 - 23780, http://dx.doi.org/10.1109/TITS.2022.3203208
    Journal articles | 2022
    Rahman MA; Rahim MA; Rahman MM; Moustafa N; Razzak I; Ahmad T; Patwary MN, 2022, 'A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 19727 - 19742, http://dx.doi.org/10.1109/TITS.2021.3138255
    Journal articles | 2022
    Razzak I; Moustafa N; Mumtaz S; Xu G, 2022, 'One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data', International Journal of Intelligent Systems, 37, pp. 4515 - 4536, http://dx.doi.org/10.1002/int.22729
    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&#x0027;s Disease Detection using Brain MRIs', IEEE/ACM Transactions on Computational Biology and Bioinformatics, PP, pp. 1 - 9, http://dx.doi.org/10.1109/TCBB.2022.3219032
    Journal articles | 2022
    Razzak I; Naz S; Ashraf A; Khalifa F; Bouadjenek MR; Mumtaz S, 2022, 'Mutliresolutional ensemble PartialNet for Alzheimer detection using magnetic resonance imaging data', International Journal of Intelligent Systems, 37, pp. 6613 - 6630, http://dx.doi.org/10.1002/int.22856
    Journal articles | 2022
    Razzak I; Naz S, 2022, 'Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification', IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19, pp. 1225 - 1234, http://dx.doi.org/10.1109/TCBB.2020.3039358
    Journal articles | 2022
    Razzak I; Xu G; Khan MK, 2022, 'Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures', IEEE Transactions on Industrial Informatics, 18, pp. 3449 - 3451, http://dx.doi.org/10.1109/TII.2021.3128962
    Journal articles | 2022
    Rehman A; Naz S; Razzak I, 2022, 'Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities', Multimedia Systems, 28, pp. 1339 - 1371, http://dx.doi.org/10.1007/s00530-020-00736-8
    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, 18, pp. 1 - 19, http://dx.doi.org/10.1145/3537899
    Journal articles | 2022
    Sharma R; Goel T; Tanveer M; Suganthan PN; Razzak I; Murugan R, 2022, 'Conv-ERVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer&#x0027;s Disease Diagnosis', IEEE Journal of Biomedical and Health Informatics, PP, http://dx.doi.org/10.1109/JBHI.2022.3215533
    Journal articles | 2022
    Sufi FK; Razzak I; Khalil I, 2022, 'Tracking Anti-Vax Social Movement Using AI-Based Social Media Monitoring', IEEE Transactions on Technology and Society, 3, pp. 290 - 299, http://dx.doi.org/10.1109/tts.2022.3192757
    Journal articles | 2022
    Tanveer M; Rashid AH; Ganaie MA; Reza M; Razzak I; Hua KL, 2022, 'Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning', IEEE Journal of Biomedical and Health Informatics, 26, pp. 1453 - 1463, http://dx.doi.org/10.1109/JBHI.2021.3083274
    Journal articles | 2022
    Yakhchi S; Behehsti A; Ghafari SM; Razzak I; Orgun M; Elahi M, 2022, 'A Convolutional Attention Network for Unifying General and Sequential Recommenders', Information Processing and Management, 59, pp. 102755 - 102755, http://dx.doi.org/10.1016/j.ipm.2021.102755
    Journal articles | 2022
    Zhou Z; Gaurav A; Gupta BB; Lytras MD; Razzak I, 2022, 'A Fine-Grained Access Control and Security Approach for Intelligent Vehicular Transport in 6G Communication System', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 9726 - 9735, http://dx.doi.org/10.1109/TITS.2021.3106825
    Journal articles | 2022
    Zogan H; Razzak I; Wang X; Jameel S; Xu G, 2022, 'Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media', World Wide Web, 25, pp. 281 - 304, http://dx.doi.org/10.1007/s11280-021-00992-2
    Journal articles | 2022
    2022, 'Improving healthcare outcomes using multimedia big data analytics', Neural Computing and Applications, 34, pp. 15095 - 15097, http://dx.doi.org/10.1007/s00521-022-07397-w
    Journal articles | 2022
    2022, 'Introduction to the special section on securing IoT-based critical infrastructure (VSI-cei)', Computers and Electrical Engineering, 101, http://dx.doi.org/10.1016/j.compeleceng.2022.108118
    Journal articles | 2022
    2022, 'NLP-SEA 2021 Workshop Summary', ACM SIGSOFT Software Engineering Notes, 47, pp. 15 - 16, http://dx.doi.org/10.1145/3520273.3520279
    Journal articles | 2022
    2022, 'Natural language interactions enhanced by data visualization to explore insurance claims and manage risk', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-021-04465-7
    Journal articles | 2022
    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 | 2021
    Afaq A; Haider N; Baig MZ; Khan KS; Imran M; Razzak I, 2021, 'Machine learning for 5G security: Architecture, recent advances, and challenges', Ad Hoc Networks, 123, http://dx.doi.org/10.1016/j.adhoc.2021.102667
    Journal articles | 2021
    Ahmad R; Naz S; Razzak I, 2021, 'Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms', Pattern Recognition Letters, 152, pp. 93 - 99, http://dx.doi.org/10.1016/j.patrec.2021.09.014
    Journal articles | 2021
    Ashraf A; Naz S; Shirazi SH; Razzak I; Parsad M, 2021, 'Deep transfer learning for alzheimer neurological disorder detection', Multimedia Tools and Applications, 80, pp. 30117 - 30142, http://dx.doi.org/10.1007/s11042-020-10331-8
    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, 175, pp. 47 - 57, http://dx.doi.org/10.1016/j.comcom.2021.04.023
    Journal articles | 2021
    Islam MR; Liu S; Biddle R; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'Discovering dynamic adverse behavior of policyholders in the life insurance industry', Technological Forecasting and Social Change, 163, http://dx.doi.org/10.1016/j.techfore.2020.120486
    Journal articles | 2021
    Kamran I; Naz S; Razzak I; Imran M, 2021, 'Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease', Future Generation Computer Systems, 117, pp. 234 - 244, http://dx.doi.org/10.1016/j.future.2020.11.020
    Journal articles | 2021
    Khan MZ; Khan MUG; Saba T; Razzak I; Rehman A; Bahaj SA, 2021, 'Hot-Spot Zone Detection to Tackle Covid19 Spread by Fusing the Traditional Machine Learning and Deep Learning Approaches of Computer Vision', IEEE Access, 9, pp. 100040 - 100049, http://dx.doi.org/10.1109/ACCESS.2021.3094720
    Journal articles | 2021
    Khan SK; Naseem U; Siraj H; Razzak I; Imran M, 2021, 'The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4241
    Journal articles | 2021
    Khattak A; Habib A; Asghar MZ; Subhan F; Razzak I; Habib A, 2021, 'Applying deep neural networks for user intention identification', Soft Computing, 25, pp. 2191 - 2220, http://dx.doi.org/10.1007/s00500-020-05290-z
    Journal articles | 2021
    Naseem U; Razzak I; Eklund PW, 2021, 'A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter', Multimedia Tools and Applications, 80, pp. 35239 - 35266, http://dx.doi.org/10.1007/s11042-020-10082-6
    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, 20, http://dx.doi.org/10.1145/3434237
    Journal articles | 2021
    Naseem U; Razzak I; Khushi M; Eklund PW; Kim J, 2021, 'COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis', IEEE Transactions on Computational Social Systems, 8, pp. 976 - 988, http://dx.doi.org/10.1109/TCSS.2021.3051189
    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, 168, http://dx.doi.org/10.1016/j.techfore.2021.120762
    Journal articles | 2021
    Qayyum A; Razzak I; Tanveer M; Kumar A, 2021, 'Depth-wise dense neural network for automatic COVID19 infection detection and diagnosis', Annals of Operations Research, pp. 1 - 21, http://dx.doi.org/10.1007/s10479-021-04154-5
    Journal articles | 2021
    Sharma DK; Dhankhar T; Agrawal G; Singh SK; Gupta D; Nebhen J; Razzak I, 2021, 'Anomaly detection framework to prevent DDoS attack in fog empowered IoT networks', Ad Hoc Networks, 121, http://dx.doi.org/10.1016/j.adhoc.2021.102603
    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, 14, pp. 3405 - 3415, http://dx.doi.org/10.1007/s12083-021-01191-6
    Journal articles | 2021
    Usama M; Malluhi QM; Zakaria N; Razzak I; Iqbal W, 2021, 'An efficient secure data compression technique based on chaos and adaptive Huffman coding', Peer-to-Peer Networking and Applications, 14, pp. 2651 - 2664, http://dx.doi.org/10.1007/s12083-020-00981-8
    Journal articles | 2021
    Yousaf W; Umar A; Shirazi SH; Khan Z; Razzak I; Zaka M, 2021, 'Patch-CNN: Deep learning for logo detection and brand recognition', Journal of Intelligent and Fuzzy Systems, 40, pp. 3849 - 3862, http://dx.doi.org/10.3233/JIFS-190660
    Journal articles | 2021
    Zhang JJ; Wang FY; Yuan Y; Xu G; Liu H; Gao W; Jameel S; Razzak I; Eklund P; Ahmed S; Qin R; Li J; Wang X; Yang DN; Turgut D; Benslimane A; Prasad N; Chen KC, 2021, 'Guest Editorial Computational Social Systems for COVID-19 Emergency Management and beyond', IEEE Transactions on Computational Social Systems, 8, pp. 928 - 929, http://dx.doi.org/10.1109/TCSS.2021.3095472
    Journal articles | 2021
    2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 328 - 329, http://dx.doi.org/10.1089/big.2021.29047.cfp
    Journal articles | 2021
    2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 406 - 407, http://dx.doi.org/10.1089/big.2021.29047.cfp2
    Journal articles | 2021
    2021, 'Call for Special Issue Papers: Levering Emerging Technologies in Supply Chain Management', Big data, 9, pp. 411 - 412, http://dx.doi.org/10.1089/big.2021.29047.cfp3
    Journal articles | 2021
    2021, 'Ground target finding mechanism for unmanned aerial vehicles to secure crop field data', Transactions on Emerging Telecommunications Technologies, 32, http://dx.doi.org/10.1002/ett.4210
    Journal articles | 2020
    Naseem U; Razzak I; Musial K; Imran M, 2020, 'Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis', Future Generation Computer Systems, 113, pp. 58 - 69, http://dx.doi.org/10.1016/j.future.2020.06.050
    Journal articles | 2020
    Naseer A; Rani M; Naz S; Razzak MI; Imran M; Xu G, 2020, 'Refining Parkinson’s neurological disorder identification through deep transfer learning', Neural Computing and Applications, 32, pp. 839 - 854, http://dx.doi.org/10.1007/s00521-019-04069-0
    Journal articles | 2020
    Naz S; Khan NH; Zahoor S; Razzak MI, 2020, 'Deep OCR for Arabic script-based language like Pastho', Expert Systems, 37, http://dx.doi.org/10.1111/exsy.12565
    Journal articles | 2020
    Razzak I; Saris RA; Blumenstein M; Xu G, 2020, 'Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection', Neural Networks, 121, pp. 441 - 451, http://dx.doi.org/10.1016/j.neunet.2019.08.030
    Journal articles | 2020
    Razzak I; Zafar K; Imran M; Xu G, 2020, 'Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data', Future Generation Computer Systems, 112, pp. 715 - 723, http://dx.doi.org/10.1016/j.future.2020.05.045
    Journal articles | 2020
    Razzak MI; Imran M; Xu G, 2020, 'Big data analytics for preventive medicine', Neural Computing and Applications, 32, pp. 4417 - 4451, http://dx.doi.org/10.1007/s00521-019-04095-y
    Journal articles | 2020
    Rehman A; Naz S; Razzak MI; Akram F; Imran M, 2020, 'A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning', Circuits, Systems, and Signal Processing, 39, pp. 757 - 775, http://dx.doi.org/10.1007/s00034-019-01246-3
    Journal articles | 2020
    Saxena A; Pare S; Meena MS; Gupta D; Gupta A; Razzak I; Lin CT; Prasad M, 2020, 'A two-phase approach for semi-supervised feature selection', Algorithms, 13, http://dx.doi.org/10.3390/A13090215
    Journal articles | 2020
    Zahoor S; Naz S; Khan NH; Razzak MI, 2020, 'Deep optical character recognition: A case of Pashto language', Journal of Electronic Imaging, 29, http://dx.doi.org/10.1117/1.JEI.29.2.023002
    Journal articles | 2019
    Ahmed SB; Hameed IA; Naz S; Razzak MI; Yusof R, 2019, 'Evaluation of handwritten Urdu text by integration of MNIST dataset learning experience', IEEE Access, 7, pp. 153566 - 153578, http://dx.doi.org/10.1109/ACCESS.2019.2946313
    Journal articles | 2019
    Ahmed SB; Naz S; Razzak MI; Yusof R, 2019, 'Arabic cursive text recognition from natural scene images', Applied Sciences (Switzerland), 9, http://dx.doi.org/10.3390/app9020236
    Journal articles | 2019
    Ahmed SB; Naz S; Razzak MI; Yusof RB, 2019, 'A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions', IEEE Access, 7, pp. 19801 - 19820, http://dx.doi.org/10.1109/ACCESS.2019.2895876
    Journal articles | 2019
    Ahmed SB; Naz S; Swati S; Razzak MI, 2019, 'Handwritten Urdu character recognition using one-dimensional BLSTM classifier', Neural Computing and Applications, 31, pp. 1143 - 1151, http://dx.doi.org/10.1007/s00521-017-3146-x
    Journal articles | 2019
    Razzak I; Blumenstein M; Xu G, 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification', IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27, pp. 1117 - 1127, http://dx.doi.org/10.1109/TNSRE.2019.2913142
    Journal articles | 2019
    Razzak I; Hameed IA; Xu G, 2019, 'Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals', IEEE Journal of Translational Engineering in Health and Medicine, 7, pp. 2000508, http://dx.doi.org/10.1109/JTEHM.2019.2942017
    Journal articles | 2019
    Razzak MI; Imran M; Xu G, 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics, 23, pp. 1911 - 1919, http://dx.doi.org/10.1109/JBHI.2018.2874033
    Journal articles | 2019
    Rehman A; Naz S; Razzak MI; Hameed IA, 2019, 'Automatic Visual Features for Writer Identification: A Deep Learning Approach', IEEE Access, 7, pp. 17149 - 17157, http://dx.doi.org/10.1109/ACCESS.2018.2890810
    Journal articles | 2019
    Rehman A; Naz S; Razzak MI, 2019, 'Writer identification using machine learning approaches: a comprehensive review', Multimedia Tools and Applications, 78, pp. 10889 - 10931, http://dx.doi.org/10.1007/s11042-018-6577-1
    Journal articles | 2019
    Saeed Z; Abbasi RA; Maqbool O; Sadaf A; Razzak I; Daud A; Aljohani NR; Xu G, 2019, 'What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter', Journal of Grid Computing, 17, pp. 279 - 312, http://dx.doi.org/10.1007/s10723-019-09482-2
    Journal articles | 2019
    Saeed Z; Abbasi RA; Razzak I; Maqbool O; Sadaf A; Xu G, 2019, 'Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks', Expert Systems with Applications, 136, pp. 115 - 132, http://dx.doi.org/10.1016/j.eswa.2019.06.005
    Journal articles | 2019
    Saeed Z; Ayaz Abbasi R; Razzak MI; Xu G, 2019, 'Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes]', IEEE Computational Intelligence Magazine, 14, pp. 29 - 38, http://dx.doi.org/10.1109/MCI.2019.2919395
    Journal articles | 2018
    Naz S; Umar AI; Ahmed SB; Ahmad R; Shirazi SH; Razzak MI; Zaman A, 2018, 'Statistical features extraction for character recognition using recurrent neural network', Pakistan Journal of Statistics, 34, pp. 47 - 53
    Journal articles | 2017
    Bin Ahmed S; Naz S; Swati S; Razzak I; Umar AI; Ali Khan A, 2017, 'UCOM offline dataset-an Urdu handwritten dataset generation', International Arab Journal of Information Technology, 14, pp. 239 - 245
    Journal articles | 2017
    Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Razzak MI, 2017, 'Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features', Neural Computing and Applications, 28, pp. 219 - 231, http://dx.doi.org/10.1007/s00521-015-2051-4
    Journal articles | 2017
    Naz S; Umar AI; Ahmad R; Siddiqi I; Ahmed SB; Razzak MI; Shafait F, 2017, 'Urdu Nastaliq recognition using convolutional–recursive deep learning', Neurocomputing, 243, pp. 80 - 87, http://dx.doi.org/10.1016/j.neucom.2017.02.081
    Journal articles | 2017
    Shirazi SH; Umar AI; Haq N; Naz S; Razzak MI; Zaib A, 2017, 'Extreme learning machine based microscopic red blood cells classification', Cluster Computing, 21, pp. 691 - 701, http://dx.doi.org/10.1007/s10586-017-0978-1
    Journal articles | 2016
    Ahmed SB; Naz S; Razzak MI; Rashid SF; Afzal MZ; Breuel TM, 2016, 'Evaluation of cursive and non-cursive scripts using recurrent neural networks', Neural Computing and Applications, 27, pp. 603 - 613, http://dx.doi.org/10.1007/s00521-015-1881-4
    Journal articles | 2016
    Alsomali W; Razzak I; Alshammari R, 2016, 'Development of ontology for penicillin-Related adverse events', Journal of Medical Imaging and Health Informatics, 6, pp. 620 - 626, http://dx.doi.org/10.1166/jmihi.2016.1724
    Journal articles | 2016
    Ghamdi HA; Alshammari R; Razzak MI, 2016, 'An ontology-based system to predict hospital readmission within 30 days', International Journal of Healthcare Management, 9, pp. 236 - 244, http://dx.doi.org/10.1080/20479700.2016.1139768
    Journal articles | 2016
    Naz S; Umar AI; Ahmad R; Ahmed SB; Shirazi SH; Siddiqi I; Razzak MI, 2016, 'Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks', Neurocomputing, 177, pp. 228 - 241, http://dx.doi.org/10.1016/j.neucom.2015.11.030
    Journal articles | 2016
    Naz S; Umar AI; Ahmed R; Razzak MI; Rashid SF; Shafait F, 2016, 'Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks', SpringerPlus, 5, http://dx.doi.org/10.1186/s40064-016-3442-4
    Journal articles | 2016
    Naz S; Umar AI; Shirazi SH; Ahmed SB; Razzak MI; Siddiqi I, 2016, 'Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey', Education and Information Technologies, 21, pp. 1225 - 1241, http://dx.doi.org/10.1007/s10639-015-9377-5
    Journal articles | 2016
    Shirazi SH; Umar AI; Naz S; Razzak MI, 2016, 'Efficient leukocyte segmentation and recognition in peripheral blood image', Technology and Health Care, 24, pp. 335 - 347, http://dx.doi.org/10.3233/THC-161133
    Journal articles | 2016
    2016, 'Blood bank control system: An ontology', Advanced Science Letters, 22, pp. 2822 - 2826, http://dx.doi.org/10.1166/asl.2016.7086
    Journal articles | 2016
    2016, 'Developing ontology for RFID based infant protection system', Advanced Science Letters, 22, pp. 2759 - 2763, http://dx.doi.org/10.1166/asl.2016.7085
    Journal articles | 2015
    Daghistani T; Shammari RA; Razzak MI, 2015, 'Discovering diabetes complications: An ontology based model', Acta Informatica Medica, 23, pp. 385 - 392, http://dx.doi.org/10.5455/aim.2015.23.385-392
    Journal articles | 2015
    Razzak MI; Alhaqbani B, 2015, 'Automatic detection of malarial parasite using microscopic blood images', Journal of Medical Imaging and Health Informatics, 5, pp. 591 - 598, http://dx.doi.org/10.1166/jmihi.2015.1417
    Journal articles | 2015
    Razzak MI; Alhaqbani B, 2015, 'Multilevel fusion for fast online signature recognition using multi-section VQ and time modelling', Neural Computing and Applications, 26, pp. 1117 - 1127, http://dx.doi.org/10.1007/s00521-014-1779-6
    Journal articles | 2015
    2015, 'Adaptive filtering algorithms for channel equalization in wireless communication', Indian Journal of Science and Technology, 8, http://dx.doi.org/10.17485/ijst/2015/v8i17/57805
    Journal articles | 2014
    Naz S; Razzak MI; Hayat K; Anwar MW; Khan SZ, 2014, 'Challenges in baseline detection of arabic script based languages', Studies in Computational Intelligence, 542, pp. 181 - 196, http://dx.doi.org/10.1007/978-3-319-04702-7_11
    Journal articles | 2012
    2012, 'Bio-inspired multilayered and multilanguage Arabic script character recognition system', International Journal of Innovative Computing, Information and Control, 8, pp. 2681 - 2691
    Journal articles | 2012
    2012, 'Efficient distributed face recognition in wireless sensor network', International Journal of Innovative Computing, Information and Control, 8, pp. 2811 - 2822
    Journal articles | 2012
    2012, 'Fuzzy based preprocessing using fusion of online and offline trait for online Urdu script based languages character recognition', International Journal of Innovative Computing, Information and Control, 8, pp. 3149 - 3161
    Journal articles | 2011
    Razzak MI; Khan MK; Alghathbar K; Park JH, 2011, 'Energy efficient distributed face recognition in wireless sensor network', Wireless Personal Communications, 60, pp. 571 - 582, http://dx.doi.org/10.1007/s11277-011-0310-y
    Journal articles | 2011
    2011, 'CSLDA and LDA fusion based Face recognition', Przeglad Elektrotechniczny, 87, pp. 210 - 214
    Journal articles | 2011
    2011, 'Fingerprint classification using PCA, LDA, L-LDA and BPN', Information, 14, pp. 3313 - 3323
    Journal articles | 2011
    2011, 'Ghost character recognition theory and arabic script based languages character recognition', Przeglad Elektrotechniczny, 87, pp. 234 - 238
    Journal articles | 2011
    2011, 'Handling diacritical marks for online Arabic script based languages character recognition using fuzzy c-mean clustering and relative position', Information, 14, pp. 157 - 165
    Journal articles | 2011
    2011, 'Multimodal biometric recognition based on fusion of low resolution face and finger veins', International Journal of Innovative Computing, Information and Control, 7, pp. 4679 - 4689
    Journal articles | 2010
    Razzak MI; Anwar F; Husain SA; Belaid A; Sher M, 2010, 'HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition', Knowledge-Based Systems, 23, pp. 914 - 923, http://dx.doi.org/10.1016/j.knosys.2010.06.007
    Journal articles | 2010
    2010, 'Locally baseline detection for online Arabic script based languages character recognition', International Journal of Physical Sciences, 5, pp. 955 - 959
    Journal articles | 2010
    2010, 'Multimodal face and finger veins biometric authentication', Scientific Research and Essays, 5, pp. 2529 - 2534
    Journal articles | 2010
    2010, 'Rule based online Urdu character recognition', ICIC Express Letters, 4, pp. 571 - 576
  • Conference Papers | 2023
    Chen S; Naseem U; Razzak I, 2023, 'Debunking Biases in Attention', in Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023), Association for Computational Linguistics, presented at Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023), - , http://dx.doi.org/10.18653/v1/2023.trustnlp-1.13
    Preprints | 2023
    Jafri FA; Siddiqui MA; Thapa S; Rauniyar K; Naseem U; Razzak I, 2023, Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines, , http://dx.doi.org/10.48550/arxiv.2306.14764
    Preprints | 2023
    Khan TM; Naqvi SS; Robles-Kelly A; Razzak I, 2023, Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning, , http://dx.doi.org/10.48550/arxiv.2304.12856
    Preprints | 2023
    Naveed A; Naqvi SS; Khan TM; Razzak I, 2023, Progressive Class-Wise Attention (PCA) Approach for Diagnosing Skin Lesions, , http://dx.doi.org/10.48550/arxiv.2306.07300
    Preprints | 2023
    de Vente C; Vermeer KA; Jaccard N; Wang H; Sun H; Khader F; Truhn D; Aimyshev T; Zhanibekuly Y; Le T-D; Galdran A; Ballester MÁG; Carneiro G; G DR; S HP; Puthussery D; Liu H; Yang Z; Kondo S; Kasai S; Wang E; Durvasula A; Heras J; Zapata MÁ; Araújo T; Aresta G; Bogunović H; Arikan M; Lee YC; Cho HB; Choi YH; Qayyum A; Razzak I; van Ginneken B; Lemij HG; Sánchez CI, 2023, AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge, , http://dx.doi.org/10.48550/arxiv.2302.01738
    Preprints | 2023
    2023, Usability of Privacy Controls in Top Health Websites, , http://dx.doi.org/10.48550/arxiv.2303.01838
    Conference Papers | 2022
    Boone-Sifuentes T; Bouadjenek MR; Razzak I; Hacid H; Nazari A, 2022, 'A Mask-based Output Layer for Multi-level Hierarchical Classification', in International Conference on Information and Knowledge Management, Proceedings, ACM, pp. 3833 - 3837, presented at CIKM '22: The 31st ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3511808.3557534
    Conference Papers | 2022
    Boone-Sifuentes T; Nazari A; Razzak I; Bouadjenek MR; Robles-Kelly A; Ierodiaconou D; Oh ES, 2022, 'Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification', in International Conference on Information and Knowledge Management, Proceedings, ACM, pp. 3838 - 3842, presented at CIKM '22: The 31st ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3511808.3557634
    Conference Papers | 2022
    Huynh ND; Bouadjenek MR; Hassani A; Razzak I; Lee K; Arora C; Zaslavsky A, 2022, 'Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment', in Proceedings - IEEE International Conference on Mobile Data Management, IEEE, pp. 318 - 321, presented at 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 06 June 2022 - 09 June 2022, http://dx.doi.org/10.1109/MDM55031.2022.00070
    Conference Papers | 2022
    Thapa S; Shah A; Jafri FA; Naseem U; Razzak I, 2022, 'A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict', in CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, pp. 1 - 6
    Conference Papers | 2022
    2022, 'A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature Switzerland, pp. 136 - 147, http://dx.doi.org/10.1007/978-3-031-15931-2_12
    Preprints | 2022
    2022, A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets, , http://dx.doi.org/10.48550/arxiv.2204.06337
    Preprints | 2022
    2022, Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey, , http://dx.doi.org/10.48550/arxiv.2202.10594
    Preprints | 2022
    2022, Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training, , http://dx.doi.org/10.48550/arxiv.2203.01895
    Preprints | 2022
    2022, Late-Ensemble of Convolutional Neural Networks with Test Time Augmentation for Chest XR COVID-19 Detection, , http://dx.doi.org/10.1101/2022.02.25.22271520
    Conference Papers | 2021
    Dipongkor AK; Islam MS; Kayesh H; Hossain MS; Anwar A; Rahman KA; Razzak I, 2021, 'DAAB: Deep Authorship Attribution in Bengali', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533619
    Preprints | 2021
    Ghodhbani H; Alimi A; Neji M; Razzak I, 2021, You can Try without Visiting: A Comprehensive Survey on Virtually Try-on Outfits, , http://dx.doi.org/10.36227/techrxiv.13904099
    Conference Papers | 2021
    Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533354
    Preprints | 2021
    Javed AR; Zikria YB; Rehman SU; Shahzad F; Jalil Z, 2021, Future Smart Cities: Requirements, Emerging Technologies, Applications, Challenges, and Future Aspects, , http://dx.doi.org/10.36227/techrxiv.14722854
    Conference Papers | 2021
    Jawad I; Ahmed J; Razzak I; Doss R, 2021, 'Identifying DNS Exfiltration based on Lexical Attributes of Query Name', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534276
    Conference Papers | 2021
    Kausar A; Razzak I; Shapiai I; Alshammari R, 2021, 'An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9534418
    Preprints | 2021
    Khan PI; Razzak I; Dengel A; Ahmed S, 2021, Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction, , http://dx.doi.org/10.48550/arxiv.2106.07344
    Conference Papers | 2021
    Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2021, 'BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9533884
    Conference Papers | 2021
    Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2021, 'RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533849
    Conference Papers | 2021
    Saadatmand M; Rauf A; Anwar S; Ramzan M; Razzak I, 2021, 'Message from the NLP-SEA 2021 Chairs', in Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021, pp. XXIII, http://dx.doi.org/10.1109/ASEW52652.2021.00012
    Conference Papers | 2021
    Zogan H; Razzak I; Jameel S; Xu G, 2021, 'DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media', in SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp. 133 - 142, presented at SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3404835.3462938
    Conference Papers | 2021
    2021, 'ExVis: Explainable Visual Decision Support System for Risk Management', in Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021, http://dx.doi.org/10.1109/BESC53957.2021.9635491
    Conference Papers | 2021
    2021, 'SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms', in Proceedings of the International Joint Conference on Neural Networks, IEEE, presented at 2021 International Joint Conference on Neural Networks (IJCNN), 18 July 2021 - 22 July 2021, http://dx.doi.org/10.1109/IJCNN52387.2021.9534162
    Preprints | 2021
    2021, DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media, , http://dx.doi.org/10.48550/arxiv.2105.10878
    Preprints | 2021
    2021, Distributed Optimization of Graph Convolutional Network using Subgraph Variance, , http://dx.doi.org/10.48550/arxiv.2110.02987
    Conference Papers | 2020
    Alnefaie A; Gupta D; Bhuyan MH; Razzak I; Gupta P; Prasad M, 2020, 'End-to-End Analysis for Text Detection and Recognition in Natural Scene Images', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207001
    Conference Papers | 2020
    Islam MR; Liu S; Razzak I; Kabir MA; Wang X; Tilocca P; Xu G, 2020, 'MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry', in Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020, http://dx.doi.org/10.1109/BESC51023.2020.9348301
    Preprints | 2020
    Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, , http://dx.doi.org/10.21203/rs.3.rs-90025/v1
    Conference Papers | 2020
    Naseem U; Razzak I; Eklund P; Musial K, 2020, 'Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207237
    Preprints | 2020
    Nguyen TT; Nguyen QVH; Nguyen DT; Yang S; Eklund PW; Huynh-The T; Nguyen TT; Pham Q-V; Razzak I; Hsu EB, 2020, Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions, , http://dx.doi.org/10.48550/arxiv.2008.07343
    Conference Papers | 2020
    Razzak I; Kamran I; Naz S, 2020, 'Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207087
    Conference Papers | 2020
    Razzak I; Khan TM, 2020, 'One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207429
    Conference Papers | 2020
    Razzak I; Shoukat G; Naz S; Khan TM, 2020, 'Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206881
    Conference Papers | 2020
    Razzak I, 2020, 'Cooperative Evolution Multiclass Support Matrix Machines', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207164
    Preprints | 2020
    Rehman A; Naz S; Khan A; Zaib A; Razzak I, 2020, Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning, , http://dx.doi.org/10.1101/2020.04.11.20054643
    Conference Papers | 2020
    Riaz SA; Naz S; Razzak I, 2020, 'Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207113
    Conference Papers | 2020
    2020, 'Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207283
    Preprints | 2020
    2020, A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models, , http://dx.doi.org/10.48550/arxiv.2010.15036
    Preprints | 2020
    2020, BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition, , http://dx.doi.org/10.48550/arxiv.2009.09223
    Preprints | 2020
    2020, Explainable Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media, , http://dx.doi.org/10.48550/arxiv.2007.02847
    Preprints | 2020
    2020, Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities, , http://dx.doi.org/10.48550/arxiv.2004.09010
    Conference Papers | 2019
    Naseem U; Khan SK; Razzak I; Hameed IA, 2019, 'Hybrid Words Representation for Airlines Sentiment Analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 381 - 392, http://dx.doi.org/10.1007/978-3-030-35288-2_31
    Conference Papers | 2018
    Ahmed SB; Naz S; Razzak MI; Yusof R, 2018, 'Cursive scene text analysis by deep convolutional linear pyramids', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 307 - 318, http://dx.doi.org/10.1007/978-3-030-04167-0_28
    Conference Papers | 2018
    Razzak MI; Saris RA; Blumenstein M; Xu G, 2018, 'Robust 2D Joint Sparse Principal Component Analysis with F-Norm Minimization for Sparse Modelling: 2D-RJSPCA', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489541
    Conference Papers | 2018
    Saeed Z; Abbasi RA; Sadaf A; Razzak MI; Xu G, 2018, 'Text stream to temporal network - A dynamic heartbeat graph to detect emerging events on twitter', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 534 - 545, http://dx.doi.org/10.1007/978-3-319-93037-4_42
    Preprints | 2017
    Ahmed SB; Naz S; Swati S; Razzak MI, 2017, Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier, , http://arxiv.org/abs/1705.05455v1
    Preprints | 2017
    Razzak MI; Naz S; Zaib A, 2017, Deep Learning for Medical Image Processing: Overview, Challenges and Future, , http://arxiv.org/abs/1704.06825v1
    Conference Papers | 2017
    Razzak MI; Naz S, 2017, 'Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 801 - 807, http://dx.doi.org/10.1109/CVPRW.2017.111
    Conference Papers | 2016
    Ahmed SB; Naz S; Razzak MI; Yusof R; Breuel TM, 2016, 'Balinese character recognition using bidirectional LSTM classifier', in Lecture Notes in Electrical Engineering, pp. 201 - 211, http://dx.doi.org/10.1007/978-3-319-32213-1_18
    Conference Papers | 2016
    Naz S; Ahmed SB; Ahmad R; Razzak MI, 2016, 'Zoning Features and 2DLSTM for Urdu Text-line Recognition', in Procedia Computer Science, pp. 16 - 22, http://dx.doi.org/10.1016/j.procs.2016.08.084
    Conference Papers | 2016
    Waqialla M; Razzak MI, 2016, 'An Ontology-based Framework Aiming to Support Cardiac Rehabilitation Program', in Procedia Computer Science, pp. 23 - 32, http://dx.doi.org/10.1016/j.procs.2016.08.087
    Conference Papers | 2016
    2016, 'The minutiae based latent fingerprint recognition system', in ACM International Conference Proceeding Series, http://dx.doi.org/10.1145/2896387.2896434
    Conference Papers | 2015
    Naz S; Umar AI; Ahmed SB; Shirazi SH; Razzak MI; Siddiqi I, 2015, 'An Ocr system for printed Nasta'liq script: A segmentation based approach', in 17th IEEE International Multi Topic Conference: Collaborative and Sustainable Development of Technologies, IEEE INMIC 2014 - Proceedings, pp. 255 - 259, http://dx.doi.org/10.1109/INMIC.2014.7097347
    Conference Papers | 2015
    Shirazi SH; Umar AI; Ul Haq N; Naz S; Razzak MI, 2015, 'Accurate microscopic red blood cell image enhancement and segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 183 - 192, http://dx.doi.org/10.1007/978-3-319-16483-0_18
    Conference Papers | 2015
    Waqialla M; Alshammari R; Razzak MI, 2015, 'An ontology for remote monitoring of cardiac implantable electronic devices', in I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding, pp. 520 - 523, http://dx.doi.org/10.1109/I4CT.2015.7219633
    Conference Papers | 2013
    Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based character segmentation: A review', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618741
    Conference Papers | 2013
    Naz S; Hayat K; Razzak MI; Anwar MW; Akbar H, 2013, 'Arabic script based language character recognition: Nasta'liq vs Naskh analysis', in 2013 World Congress on Computer and Information Technology, WCCIT 2013, http://dx.doi.org/10.1109/WCCIT.2013.6618740
    Conference Papers | 2013
    2013, 'Challenges in baseline detection of cursive script languages', in Proceedings of 2013 Science and Information Conference, SAI 2013, pp. 551 - 556
    Conference Papers | 2011
    2011, 'Co-occurrence matrix features for fingerprint verification', in ASID 2011 - Proceedings: 2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification, pp. 43 - 46, http://dx.doi.org/10.1109/ASID.2011.5967412
    Conference Papers | 2010
    Razzak MI; Khan MK; Alghathbar K; Yousaf R, 2010, 'Face recognition using layered linear discriminant analysis and small subspace', in Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010, pp. 1407 - 1412, http://dx.doi.org/10.1109/CIT.2010.252
    Conference Papers | 2010
    Razzak MI; Khan MK; Alghathbar K, 2010, 'Bio-inspired hybrid face recognition system for small sample size and large dataset', in Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010, pp. 384 - 388, http://dx.doi.org/10.1109/IIHMSP.2010.99
    Conference Papers | 2010
    2010, 'Contactless biometrics in wireless sensor network: A survey', in Communications in Computer and Information Science, pp. 236 - 243, http://dx.doi.org/10.1007/978-3-642-17610-4_27
    Conference Papers | 2009
    Razzak MI; Hussain SA; Sher M, 2009, 'Numeral recognition for Urdu script in unconstrained environment', in 2009 International Conference on Emerging Technologies, ICET 2009, pp. 44 - 47, http://dx.doi.org/10.1109/ICET.2009.5353203
    Conference Papers | 2009
    2009, 'Towards Security and Enrichment of the IP Multimedia Subsystem Based Multiparty Conference', in Castillo O; Douglas C; Feng DD; Lee JA (eds.), IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, INT ASSOC ENGINEERS-IAENG, PEOPLES R CHINA, Kowloon, pp. 368 - +, presented at International Multi-Conference of Engineers and Computer Scientists, PEOPLES R CHINA, Kowloon, 18 March 2009 - 20 March 2009, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000266097200072&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

  • LP220200780    A smartphone rip-detection tool to improve rip current awareness, 343K
  • AI-driven medical technologies, Next Generation AI and Emerging Technologies Graduates Program, 1.7million

Imran is currently involved in multiple research projects with internal and external collaborators on Machine Learning, Computer Vision and Natural Language Processing. You may find more details @clickhere

My Research Supervision

  • Syed Javeed- UNSW (2023-2025)
  • Abdullah Mohammed Alsuhaibani-UTS (2022-2024)
  • Mohammad-UTS (2022-2025)
  • Tanya Boone Sifuentes-Deakin (2019-2023)
  • Ngoc Dung Huynh-Deakin (2022-2025)

 

 

My Teaching