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ORCIDShahadat Uddin
Mohammed Shahadat Uddin
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- affiliation: University of Sydney, Centre for Complex Systems Research, NSW, Australia
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2020 – today
- 2024
[j51]Fangyu Zhou
, Matloob Khushi, Jonathan Brett, Shahadat Uddin:
Graph neural network-based subgraph analysis for predicting adverse drug events. Comput. Biol. Medicine 183: 109282 (2024)- [j50]Haohui Lu, Shahadat Uddin:
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. Neurocomputing 593: 127820 (2024) - [j49]Israq Ahmed Anik, A. H. M. Kamal, Muhammad Ashad Kabir, Shahadat Uddin, Mohammad Ali Moni:
A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Trans. Artif. Intell. 5(10): 4938-4947 (2024) - [c35]Fangyu Zhou, Shahadat Uddin:
Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions. ACSW 2024: 65-68 - 2023
- [j48]Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni:
GRU-INC: An inception-attention based approach using GRU for human activity recognition. Expert Syst. Appl. 216: 119419 (2023) - [j47]Alireza Tavakolian, Alireza Rezaee, Farshid Hajati, Shahadat Uddin:
Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model. Future Internet 15(9): 304 (2023) - [j46]Haohui Lu, Shahadat Uddin:
Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Inf. Sci. Syst. 11(1): 2 (2023) - [j45]Shahadat Uddin, Arif Khan, Haohui Lu:
Impact of COVID-19 on Journal Impact Factor. J. Informetrics 17(4): 101458 (2023) - [j44]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162: 271-287 (2023) - [c34]Fangyu Zhou, Shahadat Uddin:
Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method. ACSW 2023: 227-230 - [c33]Fangyu Zhou, Shahadat Uddin:
How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. ACSW 2023: 231-233 - [c32]Haohui Lu, Shahadat Uddin:
KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction. HIS 2023: 296-305 - [i9]Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni:
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR abs/2303.06020 (2023) - [i8]Haohui Lu, Shahadat Uddin:
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. CoRR abs/2309.05434 (2023) - 2022
- [j43]Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi:
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. 52(3): 2411-2422 (2022) - [j42]Haohui Lu, Shahadat Uddin:
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities. Appl. Intell. 52(9): 10330-10340 (2022) - [j41]Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin:
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception. Expert Syst. Appl. 204: 117551 (2022) - [j40]Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi:
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. Expert Syst. Appl. 205: 117761 (2022) - [j39]Haohui Lu, Shahadat Uddin:
Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Inf. 13(9): 436 (2022) - [j38]Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin:
Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software. Softw. Impacts 13: 100337 (2022) - [j37]Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin:
A machine learning software tool for multiclass classification. Softw. Impacts 13: 100383 (2022) - [c31]Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni:
Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: 168-175 - [c30]Shakir Karim, Shahadat Uddin:
Analysis of patient-sharing provider network in Macarthur region, New South Wales, Australia using administrative claim data. ACSW 2022: 207-215 - 2021
- [j36]Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió:
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9: 94601-94624 (2021) - [j35]Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Shahadat Uddin, Suhuai Luo, Xiaoyan Yang, Maranatha Consuelo Reyes:
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. IEEE Access 9: 109960-109975 (2021) - [j34]Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni:
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine 135: 104539 (2021) - [j33]M. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni:
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput. Biol. Medicine 136: 104668 (2021) - [j32]Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine 139: 105014 (2021) - [j31]Md Ekramul Hossain, Shahadat Uddin, Arif Khan:
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Syst. Appl. 164: 113918 (2021) - [j30]Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. 226: 107126 (2021) - [j29]Shahadat Uddin, Tasadduq Imam, Mohammad Mozumdar:
Research interdisciplinarity: STEM versus non-STEM. Scientometrics 126(1): 603-618 (2021) - [j28]Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin:
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 745-758 (2021) - [c29]Shahadat Uddin, Tasadduq Imam, Mohammad Ali Moni:
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate. ACSW 2021: 16:1-16:8 - [c28]Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon:
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH 2021: 11-18 - [c27]Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon:
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH 2021: 19-26 - 2020
- [j27]Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni:
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160: 113661 (2020) - [i7]Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni:
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR abs/2011.10657 (2020)
2010 – 2019
- 2019
- [j26]Shahadat Uddin, Nazim Choudhury:
Actor-Level Dynamicity: Its Distribution Analysis Eases Anomaly Detection in Longitudinal Networks. IEEE Access 7: 69422-69433 (2019) - [j25]Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni:
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7: 166509-166527 (2019) - [j24]Md. Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni:
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access 7: 183948-183970 (2019) - [j23]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Syst. Appl. 136: 230-241 (2019) - [j22]Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni:
Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics Decis. Mak. 19(1): 281 (2019) - [j21]Arif Khan, Nazim Choudhury, Shahadat Uddin:
Few research fields play major role in interdisciplinary grant success. Scientometrics 119(1): 237-246 (2019) - [j20]Shahadat Uddin, Nazim Choudhury, Md Ekramul Hossain:
A research framework to explore knowledge evolution and scholarly quantification of collaborative research. Scientometrics 119(2): 789-803 (2019) - [c26]Md Ekramul Hossain, Arif Khan, Shahadat Uddin:
Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. ACSW 2019: 26:1-26:7 - [c25]Arif Khan, Uma Srinivasan, Shahadat Uddin:
Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. ACSW 2019: 34:1-34:6 - [c24]Md Ekramul Hossain, Arif Khan, Shahadat Uddin:
Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. COMPLEX NETWORKS (2) 2019: 774-788 - 2018
- [j19]Shahadat Uddin, Md Ekramul Hossain, Arif Khan:
Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. IEEE Access 6: 72233-72240 (2018) - [j18]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. Int. J. Medical Informatics 115: 1-9 (2018) - [r1]Shahadat Uddin, Nazim Choudhury, Mahendra Piraveenan, Kon Shing Kenneth Chung:
Exploring Actor-Level Dynamics in Longitudinal Networks: The State of the Art. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c23]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data. ACSW 2017: 57:1-57:9 - [c22]Nazim Choudhury, Shahadat Uddin:
Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks. ASONAM 2017: 721-728 - [c21]Mohiuddin Ahmed, Nazim Choudhury, Shahadat Uddin:
Anomaly Detection on Big Data in Financial Markets. ASONAM 2017: 998-1001 - [c20]Nazim Choudhury, Shahadat Uddin:
Evolutionary Community Mining for Link Prediction in Dynamic Networks. COMPLEX NETWORKS 2017: 127-138 - 2016
- [j17]Shahadat Uddin, Arif Khan, Mahendra Piraveenan:
A set of measures to quantify the dynamicity of longitudinal social networks. Complex. 21(6): 309-320 (2016) - [j16]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Modeling networked systems using the topologically distributed bounded rationality framework. Complex. 21(S2): 123-137 (2016) - [j15]Shahadat Uddin, Arif Khan:
The impact of author-selected keywords on citation counts. J. Informetrics 10(4): 1166-1177 (2016) - [j14]Nazim Choudhury, Shahadat Uddin:
Time-aware link prediction to explore network effects on temporal knowledge evolution. Scientometrics 108(2): 745-776 (2016) - [c19]Arif Khan, Shahadat Uddin, Uma Srinivasan:
Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression. ACSW 2016: 66 - 2015
- [j13]Shahadat Uddin, Arif Khan, Liaquat Hossain, Mahendra Piraveenan, Sven A. Carlsson:
A topological framework to explore longitudinal social networks. Comput. Math. Organ. Theory 21(1): 48-68 (2015) - [j12]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Evolutionary Stable Strategies In Networked Games: The Influence Of Topology. J. Artif. Intell. Soft Comput. Res. 5(2): 83 (2015) - [c18]Shahadat Uddin, Arif Khan, Mahendra Piraveenan:
Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network. HICSS 2015: 3105-3114 - [i6]Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin:
Evolutionary stable strategies in networked games: the influence of topology. CoRR abs/1503.06273 (2015) - [i5]Liaquat Hossain, Rolf T. Wigand, Shahadat Uddin:
Statistical Network Topology for Crisis Informetrics. CoRR abs/1503.08265 (2015) - [i4]Shahadat Uddin, Arif Khan, Louise A. Baur:
A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields. CoRR abs/1509.06836 (2015) - [i3]Uma Srinivasan, Shahadat Uddin:
A Social Network Framework to Explore Healthcare Collaboration. CoRR abs/1509.07578 (2015) - 2014
- [j11]Shahadat Uddin, Kate Thompson, Beat Schwendimann, Mahendra Piraveenan:
The impact of study load on the dynamics of longitudinal email communications among students. Comput. Educ. 72: 209-219 (2014) - [j10]Shahadat Uddin, Liaquat Hossain, Rolf T. Wigand:
New Direction in Degree Centrality Measure: Towards a Time-Variant Approach. Int. J. Inf. Technol. Decis. Mak. 13(4): 865- (2014) - [j9]Gnana Thedchanamoorthy, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Influence of vaccination strategies and topology on the herd immunity of complex networks. Soc. Netw. Anal. Min. 4(1): 213 (2014) - [c17]Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla:
Application of network analysis on healthcare. ASONAM 2014: 596-603 - [c16]Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Optimisation of strategy placements for public good in complex networks. SocialCom 2014: 1:1-1:8 - [c15]Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake:
Optimisation of strategy placements for public good in complex networks. SocialCom 2014: 17:1-17:2 - 2013
- [j8]Shahadat Uddin, Michael J. Jacobson:
Dynamics of email communications among university students throughout a semester. Comput. Educ. 64: 95-103 (2013) - [j7]Shahadat Uddin, Jafar Hamra, Liaquat Hossain:
Exploring communication networks to understand organizational crisis using exponential random graph models. Comput. Math. Organ. Theory 19(1): 25-41 (2013) - [j6]Liaquat Hossain, Shahriar Tanvir Hasan Murshed, Shahadat Uddin:
Communication network dynamics during organizational crisis. J. Informetrics 7(1): 16-35 (2013) - [j5]Mahendra Piraveenan, Gnana Thedchanamoorthy, Shahadat Uddin, Kon Shing Kenneth Chung:
Quantifying topological robustness of networks under sustained targeted attacks. Soc. Netw. Anal. Min. 3(4): 939-952 (2013) - [c14]Mahendra Piraveenan, Shahadat Uddin, Kon Shing Kenneth Chung, Dharshana Kasthurirathna:
Quantifying encircling behaviour in complex networks. CICS 2013: 9-14 - [c13]Kon Shing Kenneth Chung, Mahendra Piraveenan, Andrew Vakarau Levula, Shahadat Uddin:
Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. HICSS 2013: 1993-2002 - [c12]Shahadat Uddin, Mahendra Piraveenan, Kon Shing Kenneth Chung, Liaquat Hossain:
Topological Analysis of Longitudinal Networks. HICSS 2013: 3931-3940 - [c11]Mahendra Piraveenan, Shahadat Uddin, Gnana Thedchanamoorthy:
Effect of Vaccination Strategies on the Herd Immunity of Growing Networks. SocialCom 2013: 288-294 - [c10]Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri:
Conceptual Quantification of the Dynamicity of Longitudinal Social Networks. SocialCom 2013: 868-873 - [i2]Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri:
Conceptual quantification of the dynamicity of longitudinal social networks. CoRR abs/1311.0090 (2013) - 2012
- [j4]Shahadat Uddin, Liaquat Hossain, Alireza Abbasi, Kim J. R. Rasmussen:
Trend and efficiency analysis of co-authorship network. Scientometrics 90(2): 687-699 (2012) - [c9]Piraveenan Mahendra, Shahadat Uddin, Kon Shing Kenneth Chung:
Measuring Topological Robustness of Networks under Sustained Targeted Attacks. ASONAM 2012: 38-45 - [c8]Kon Shing Kenneth Chung, Piraveenan Mahendra, Shahadat Uddin:
Community Evolution and Engagement through Assortative Mixing in Online Social Networks. ASONAM 2012: 724-725 - [c7]Shahadat Uddin, Kon Shing Kenneth Chung, Mahendra Piraveenan:
Capturing Actor-level Dynamics of Longitudinal Networks. ASONAM 2012: 1006-1011 - [c6]Shahadat Uddin, Simon Reay Atkinson, Liaquat Hossain:
New Directions in the Analysis of Social Network Dynamics. KDIR 2012: 269-274 - 2011
- [j3]Shahadat Uddin, Liaquat Hossain, Shahriar Tanvir Hasan Murshed, John W. Crawford:
Static versus dynamic topology of complex communications network during organizational crisis. Complex. 16(5): 27-36 (2011) - [j2]Liaquat Hossain, S. Khalili, Shahadat Uddin:
Inter-Organizational Coordination Dynamics during Crisis. J. Decis. Syst. 20(4): 383-396 (2011) - [j1]Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen:
Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis. Scientometrics 89(2): 687-710 (2011) - [c5]Shahadat Uddin, Liaquat Hossain:
Time Scale Degree Centrality: A Time-Variant Approach to Degree Centrality Measures. ASONAM 2011: 520-524 - [c4]Jafar Hamra, Shahadat Uddin, Liaquat Hossain:
Exponential random graph modeling of communication networks to understand organizational crisis. CPR 2011: 71-78 - [i1]Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen:
Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels and Cross-time Analysis. CoRR abs/1107.5870 (2011) - 2010
- [c3]Shahriar Tanvir Hasan Murshed, Shahadat Uddin, Liaquat Hossain:
Understanding Communication Network Cohesiveness during Organizational Crisis: Effects of Clique and Transitivity. ICIS 2010: 81 - [c2]Mohammed Shahadat Uddin, Shahriar Tanvir Hasan Murshed, Liaquat Hossain:
Towards A Scale Free Network Approach to Study Organizational Communication Network. PACIS 2010: 196
2000 – 2009
- 2009
- [c1]Mohammed Shahadat Uddin, Liaquat Hossain:
Towards Coordination Preparedness of Soft-Target Organisation. EGOV 2009: 54-64
Coauthor Index
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