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ORCIDMohammad M. Masud 0001
Mohammad Mehedy Masud
Person information
- affiliation: United Arab Emirates University, Abu Dhabi, UAE
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2020 – today
- 2024
[c39]Namya Musthafa
, Mohammad Mehedy Masud, Qurban Memon:
Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet. ICMHI 2024: 52-57- [c38]Moomal Farhad, Mohammad M. Masud:
Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis. ICMHI 2024: 212-218 - 2023
- [j28]Jamalia Sultana, Benzir Md Ahmed, Mohammad Mehedy Masud, A. K. Obidul Huq, Mohammed Eunus Ali, Mahmuda Naznin:
A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques. IEEE Access 11: 45910-45935 (2023) - [j27]Moomal Farhad, Mohammad Mehedy Masud, Azam Beg, Amir Ahmad, Luai Awad Ahmed, Sehar Memon:
A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy. Comput. Biol. Medicine 163: 107129 (2023) - [j26]Hadeel T. El Kassabi, Mohamed Adel Serhani, Mohammad M. Masud, Khaled Shuaib, Khaled Khalil:
Deep learning approach to security enforcement in cloud workflow orchestration. J. Cloud Comput. 12(1): 10 (2023) - [j25]Kadhim Hayawi, Susmita Saha, Mohammad Mehedy Masud, Sujith Samuel Mathew, Mohammed Kaosar:
Social media bot detection with deep learning methods: a systematic review. Neural Comput. Appl. 35(12): 8903-8918 (2023) - [c37]Heba Helal, Mohamed A. Sharaf, Mohammad M. Masud, Panos K. Chrysanthis:
TiVEx: Optimized Processing for Time Series Visual Exploration. AICCSA 2023: 1-8 - [c36]Shamma Esmaeel Jamali, Mohammad Mehedy Masud:
Orbit Propagation and Determination using Genetic Algorithms. IIT 2023: 13-19 - [c35]Ashika Sameem Abdul Rasheed, Mohammad Mehedy Masud, Mohammed Abduljabbar:
A Comparative Study of Transformer Based Pretrained AI Models for Content Summarization. IIT 2023: 79-84 - [c34]Mariam Alkaabi, Meera Albloushi, Alyazia Alkaabi, Amna Alhammadi, Fatima Alketbi, Mohammad M. Masud:
An Enhanced Deepfake Video Detection Technique. IIT 2023: 234-239 - [c33]Shama Alalawi, Safa Baalfaqih, Maitha Almeqbaali, Mohammad M. Masud:
Social Media Misinformation Propagation and Detection. IIT 2023: 240-245 - [i3]Subangkar Karmaker Shanto, Shoumik Saha, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal. CoRR abs/2308.02433 (2023) - 2022
- [j24]Wasif Khan, Nazar Zaki, Amir Ahmad, Mohammad Mehedy Masud, Luqman Ali, Nasloon Ali, Luai Awad Ahmed:
Mixed Data Imputation Using Generative Adversarial Networks. IEEE Access 10: 124475-124490 (2022) - [j23]Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Hasan Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 8:1-8:21 (2022) - [j22]Nasloon Ali, Wasif Khan, Amir Ahmad, Mohammad Mehedy Masud, Hiba Adam, Luai Awad Ahmed:
Predictive Modeling for the Diagnosis of Gestational Diabetes Mellitus Using Epidemiological Data in the United Arab Emirates. Inf. 13(10): 485 (2022) - [j21]Kadhim Hayawi, Sujith Samuel Mathew, Neethu Venugopal, Mohammad M. Masud, Pin-Han Ho:
DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data. Soc. Netw. Anal. Min. 12(1): 43 (2022) - 2021
- [j20]Imad Jawhar, Sheng Zhang, Jie Wu, Nader Mohamed, Mohammad M. Masud:
Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks. J. Sens. Actuator Networks 10(3): 49 (2021) - [j19]Nusrat Jafrin, Mohammad Mehedy Masud, Abu Naser Mohammad Saif, Masnun Mahi, Moriam Khanam:
A panel data estimation of the determinants of life expectancy in selected SAARC countries. Oper. Res. Decis. 31(4) (2021) - [c32]Moomal Farhad, Mohammad M. Masud, Azam Beg:
Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging. ADMA 2021: 3-17 - [c31]Mohammad M. Masud, Kadhim Hayawi, Sujith Samuel Mathew, Temesgen Michael, Mai El Barachi:
Smart Online Exam Proctoring Assist for Cheating Detection. ADMA 2021: 118-132 - [c30]Imran Makhdoom, Kadhim Hayawi, Mohammed Kaosar, Sujith Samuel Mathew, Mohammad Mehedy Masud:
Blockchain-based Secure CIDS Operation. CSNet 2021: 103-106 - 2020
- [j18]Kadhim Hayawi, Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud:
Thwarting ICMP Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss. IEEE Access 8: 78029-78043 (2020) - [j17]Noura H. Al Nuaimi, Mohammad M. Masud:
Online streaming feature selection with incremental feature grouping. WIREs Data Mining Knowl. Discov. 10(4) (2020) - [c29]Mohammad M. Masud, Kadhim Hayawi, Sujith Samuel Mathew, Ahmed Dirir, Muhsin Cheratta:
Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data. ACSW 2020: 33:1-33:8 - [i2]Sarkar Snigdha Sarathi Das, Subangkar Karmaker Shanto, Masum Rahman, Md. Saiful Islam, Atif Rahman, Mohammad Mehedy Masud, Mohammed Eunus Ali:
BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. CoRR abs/2011.00753 (2020)
2010 – 2019
- 2018
- [c28]Mohammad Mehedy Masud, Muhsin Cheratta:
A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients. AAAI Workshops 2018: 479-486 - 2017
- [j16]Zouheir Trabelsi, Mohammed Al Matrooshi, Saeed Al Bairaq, Walid Ibrahim, Mohammad M. Masud:
Android based mobile apps for information security hands-on education. Educ. Inf. Technol. 22(1): 125-144 (2017) - [j15]Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud:
Hybrid mechanism towards network packet early acceptance and rejection for unified threat management. IET Inf. Secur. 11(2): 104-113 (2017) - [j14]Mohammad M. Masud, Mohamed Adel Serhani, Alramzana Nujum Navaz:
Resource-Aware Mobile-Based Health Monitoring. IEEE J. Biomed. Health Informatics 21(2): 349-360 (2017) - [c27]Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud:
Multistream regression with asynchronous concept drift detection. IEEE BigData 2017: 596-605 - [c26]Noura H. Al Nuaimi, Mohammad M. Masud:
Toward Optimal Streaming Feature Selection. DSAA 2017: 775-782 - [c25]Mohammad Mehedy Masud, Muhsin Cheratta, Abdel Rahman Al Harahsheh:
Survival prediction of ICU patients using knowledge intensive data grouping and selection. ICTA 2017: 1-6 - [c24]Imad Jawhar, Sheng Zhang, Jie Wu, Nader Mohamed, Mohammad M. Masud:
Efficient topology discovery and routing in thick wireless Linear Sensor Networks. INFOCOM Workshops 2017: 91-96 - 2016
- [j13]Zouheir Trabelsi, Mohammad M. Masud:
An extended identity-based cryptography protocol based on biometric. Int. J. Inf. Priv. Secur. Integr. 2(3): 232-256 (2016) - [j12]Tahseen Al-Khateeb, Mohammad M. Masud, Khaled Al-Naami, Sadi Evren Seker, Ahmad M. Mustafa, Latifur Khan, Zouheir Trabelsi, Charu C. Aggarwal, Jiawei Han:
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Trans. Knowl. Data Eng. 28(10): 2752-2764 (2016) - [c23]Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud:
Network Packet Filtering and Deep Packet Inspection Hybrid Mechanism for IDS Early Packet Matching. AINA 2016: 808-815 - [c22]Mohammad Mehedy Masud, Abdel Rahman Al Harahsheh:
Mortality prediction of ICU patients using lab test data by feature vector compaction & classification. IEEE BigData 2016: 3404-3411 - 2015
- [j11]Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud, Kilani Ghoudi:
Statistical dynamic splay tree filters towards multilevel firewall packet filtering enhancement. Comput. Secur. 53: 109-131 (2015) - [j10]Zouheir Trabelsi, Mohamed Al-Hemairy, Mohammad M. Masud:
On Investigating the Effectiveness of Biometric Readers in Thwarting Network Attacks: A Secure Architecture Design Proposal. J. Intell. Syst. 24(2): 199-213 (2015) - [j9]Eman Abu Khousa, Yacine Atif, Mohammad M. Masud:
A social learning analytics approach to cognitive apprenticeship. Smart Learn. Environ. 2(1): 14 (2015) - [c21]Hind Obaid Al Falasi, Mohammad M. Masud, Nader Mohamed:
Trusting the same: Using similarity to establish trust among vehicles. CTS 2015: 64-69 - [c20]Mohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan:
Online Prediction of Chess Match Result. PAKDD (1) 2015: 525-537 - [i1]Noura H. Al Nuaimi, Mohammad M. Masud, Farhan Mohammed:
ICU Patient Deterioration prediction: a Data-Mining Approach. CoRR abs/1511.06910 (2015) - 2014
- [c19]Leila Ismail, Mohammad M. Masud, Latifur Khan:
FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing. BigData Congress 2014: 514-521 - [c18]Mohammad M. Masud, Umniya Mustafa, Zouheir Trabelsi:
A data driven firewall for faster packet filtering. COMNET 2014: 1-5 - 2013
- [j8]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza:
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25(7): 1484-1497 (2013) - [c17]Umniya Mustafa, Mohammad M. Masud, Zouheir Trabelsi, Timothy Wood, Zainab Al Harthi:
Firewall performance optimization using data mining techniques. IWCMC 2013: 934-940 - 2012
- [c16]Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
Cloud Guided Stream Classification Using Class-Based Ensemble. IEEE CLOUD 2012: 694-701 - [c15]Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham:
Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. ICDM 2012: 31-40 - 2011
- [j7]Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza:
Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33(1): 213-244 (2011) - [j6]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Trans. Knowl. Data Eng. 23(6): 859-874 (2011) - [j5]Mohammad Farhan Husain, James P. McGlothlin, Mohammad M. Masud, Latifur R. Khan, Bhavani M. Thuraisingham:
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing. IEEE Trans. Knowl. Data Eng. 23(9): 1312-1327 (2011) - [j4]Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Cloud-based malware detection for evolving data streams. ACM Trans. Manag. Inf. Syst. 2(3): 16:1-16:27 (2011) - [c14]Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM 2011: 1176-1181 - 2010
- [c13]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM 2010: 929-934 - [c12]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection in Data Streams with Active Mining. PAKDD (2) 2010: 311-324 - [c11]Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. ECML/PKDD (2) 2010: 337-352
2000 – 2009
- 2009
- [j3]Kevin W. Hamlen, Vishwath Mohan, Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
Exploiting an antivirus interface. Comput. Stand. Interfaces 31(6): 1182-1189 (2009) - [c10]Clay Woolam, Mohammad M. Masud, Latifur Khan:
Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. ISMIS 2009: 552-562 - [c9]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. PAKDD 2009: 363-375 - [c8]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ECML/PKDD (2) 2009: 79-94 - 2008
- [j2]Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
A scalable multi-level feature extraction technique to detect malicious executables. Inf. Syst. Frontiers 10(1): 33-45 (2008) - [c7]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Peer to peer botnet detection for cyber-security: a data mining approach. CSIIRW 2008: 39:1-39:2 - [c6]Bhavani Thuraisingham, Latifur Khan, Mohammad M. Masud, Kevin W. Hamlen:
Data Mining for Security Applications. EUC (2) 2008: 585-589 - [c5]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. ICDM 2008: 929-934 - [c4]Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham, Xinran Wang, Peng Liu, Sencun Zhu:
Detecting Remote Exploits Using Data Mining. IFIP Int. Conf. Digital Forensics 2008: 177-189 - 2007
- [j1]Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
E-Mail Worm Detection Using Data Mining. Int. J. Inf. Secur. Priv. 1(4): 47-61 (2007) - [c3]Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
A Hybrid Model to Detect Malicious Executables. ICC 2007: 1443-1448 - [c2]Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham:
Feature Based Techniques for Auto-Detection of Novel Email Worms. PAKDD 2007: 205-216 - 2006
- [c1]Mohammad M. Masud, Latifur Khan, Ehab Al-Shaer:
Email Worm Detection Using Naïve Bayes and Support Vector Machine. ISI 2006: 733-734
Coauthor Index
Latifur Khan
aka: Latifur R. Khan
aka: Latifur R. Khan
Bhavani Thuraisingham
aka: Bhavani M. Thuraisingham
aka: Bhavani M. Thuraisingham
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