Email Worm Detection Using Naïve Bayes and Support Vector Machine. - Mohammad M. Masud 001; Latifur Khan; Ehab Al-Shaer (ISI, 2006)

A Hybrid Model to Detect Malicious Executables. - Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (ICC, 2007)

Feature Based Techniques for Auto-Detection of Novel Email Worms. - Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (PAKDD, 2007)

E-Mail Worm Detection Using Data Mining. - Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (Int. J. Inf. Secur. Priv., 2007)

Peer to peer botnet detection for cyber-security: a data mining approach. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (CSIIRW, 2008)

Data Mining for Security Applications. - Bhavani Thuraisingham; Latifur Khan; Mohammad M. Masud 001; Kevin W. Hamlen (EUC (2), 2008)

A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (ICDM, 2008)

Detecting Remote Exploits Using Data Mining. - Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham; Xinran Wang; Peng Liu 005; Sencun Zhu (IFIP Int. Conf. Digital Forensics, 2008)

A scalable multi-level feature extraction technique to detect malicious executables. - Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (Inf. Syst. Frontiers, 2008)

Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. - Clay Woolam; Mohammad M. Masud 001; Latifur Khan (ISMIS, 2009)

A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (PAKDD, 2009)

Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (ECML/PKDD (2), 2009)

Exploiting an antivirus interface. - Kevin W. Hamlen; Vishwath Mohan; Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (Comput. Stand. Interfaces, 2009)

Addressing Concept-Evolution in Concept-Drifting Data Streams. - Mohammad M. Masud 001; Qing Chen; Latifur Khan; Charu C. Aggarwal; Jing Gao 004; Jiawei Han 001; Bhavani Thuraisingham (ICDM, 2010)

Classification and Novel Class Detection in Data Streams with Active Mining. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (PAKDD (2), 2010)

Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. - Mohammad M. Masud 001; Qing Chen; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (ECML/PKDD (2), 2010)

Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. - Mohammad M. Masud 001; Tahseen Al-Khateeb; Latifur Khan; Charu C. Aggarwal; Jing Gao 004; Jiawei Han 001; Bhavani Thuraisingham (ICDM, 2011)

Facing the reality of data stream classification: coping with scarcity of labeled data. - Mohammad M. Masud 001; Clay Woolam; Jing Gao 004; Latifur Khan; Jiawei Han 001; Kevin W. Hamlen; Nikunj C. Oza (Knowl. Inf. Syst., 2011)

Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing. - Mohammad Farhan Husain; James P. McGlothlin; Mohammad M. Masud 001; Latifur R. Khan; Bhavani M. Thuraisingham (IEEE Trans. Knowl. Data Eng., 2011)

Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. - Mohammad M. Masud 001; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani M. Thuraisingham (IEEE Trans. Knowl. Data Eng., 2011)

Cloud-based malware detection for evolving data streams. - Mohammad M. Masud 001; Tahseen Al-Khateeb; Kevin W. Hamlen; Jing Gao 004; Latifur Khan; Jiawei Han 001; Bhavani Thuraisingham (ACM Trans. Manag. Inf. Syst., 2011)

Cloud Guided Stream Classification Using Class-Based Ensemble. - Tahseen Al-Khateeb; Mohammad M. Masud 001; Latifur Khan; Bhavani Thuraisingham (IEEE CLOUD, 2012)

Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. - Tahseen Al-Khateeb; Mohammad M. Masud 001; Latifur Khan; Charu C. Aggarwal; Jiawei Han 001; Bhavani Thuraisingham (ICDM, 2012)

Firewall performance optimization using data mining techniques. - Umniya Mustafa; Mohammad M. Masud 001; Zouheir Trabelsi; Timothy Wood 001; Zainab Al Harthi (IWCMC, 2013)

Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. - Mohammad M. Masud 001; Qing Chen; Latifur Khan; Charu C. Aggarwal; Jing Gao 004; Jiawei Han 001; Ashok Srivastava; Nikunj C. Oza (IEEE Trans. Knowl. Data Eng., 2013)

FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing. - Leila Ismail; Mohammad M. Masud 001; Latifur Khan (BigData Congress, 2014)

A data driven firewall for faster packet filtering. - Mohammad M. Masud 001; Umniya Mustafa; Zouheir Trabelsi (COMNET, 2014)

Trusting the same: Using similarity to establish trust among vehicles. - Hind Obaid Al Falasi; Mohammad M. Masud 001; Nader Mohamed (CTS, 2015)

Online Prediction of Chess Match Result. - Mohammad M. Masud 001; Ameera Al-Shehhi; Eiman Al-Shamsi; Shamma Al-Hassani; Asmaa Al-Hamoudi; Latifur Khan (PAKDD (1), 2015)

Statistical dynamic splay tree filters towards multilevel firewall packet filtering enhancement. - Zouheir Trabelsi; Safaa Zeidan; Mohammad M. Masud 001; Kilani Ghoudi (Comput. Secur., 2015)

ICU Patient Deterioration prediction: a Data-Mining Approach. - Noura H. Al Nuaimi; Mohammad M. Masud 001; Farhan Mohammed (CoRR, 2015)

On Investigating the Effectiveness of Biometric Readers in Thwarting Network Attacks: A Secure Architecture Design Proposal. - Zouheir Trabelsi; Mohamed Al-Hemairy; Mohammad M. Masud 001 (J. Intell. Syst., 2015)

A social learning analytics approach to cognitive apprenticeship. - Eman Abu Khousa; Yacine Atif; Mohammad M. Masud 001 (Smart Learn. Environ., 2015)

Network Packet Filtering and Deep Packet Inspection Hybrid Mechanism for IDS Early Packet Matching. - Zouheir Trabelsi; Safaa Zeidan; Mohammad M. Masud 001 (AINA, 2016)

Mortality prediction of ICU patients using lab test data by feature vector compaction & classification. - Mohammad Mehedy Masud; Abdel Rahman Al Harahsheh (IEEE BigData, 2016)

An extended identity-based cryptography protocol based on biometric. - Zouheir Trabelsi; Mohammad M. Masud 001 (Int. J. Inf. Priv. Secur. Integr., 2016)

Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. - Tahseen Al-Khateeb; Mohammad M. Masud 001; Khaled Al-Naami; Sadi Evren Seker; Ahmad M. Mustafa 001; Latifur Khan; Zouheir Trabelsi; Charu C. Aggarwal; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2016)

Multistream regression with asynchronous concept drift detection. - Bo Dong; Yifan Li 003; Yang Gao 027; Ahsanul Haque; Latifur Khan; Mohammad M. Masud 001 (IEEE BigData, 2017)

Toward Optimal Streaming Feature Selection. - Noura H. Al Nuaimi; Mohammad M. Masud 001 (DSAA, 2017)

Survival prediction of ICU patients using knowledge intensive data grouping and selection. - Mohammad Mehedy Masud; Muhsin Cheratta; Abdel Rahman Al Harahsheh (ICTA, 2017)

Efficient topology discovery and routing in thick wireless Linear Sensor Networks. - Imad Jawhar; Sheng Zhang 001; Jie Wu 001; Nader Mohamed; Mohammad M. Masud 001 (INFOCOM Workshops, 2017)

Android based mobile apps for information security hands-on education. - Zouheir Trabelsi; Mohammed Al Matrooshi; Saeed Al Bairaq; Walid Ibrahim; Mohammad M. Masud 001 (Educ. Inf. Technol., 2017)

Hybrid mechanism towards network packet early acceptance and rejection for unified threat management. - Zouheir Trabelsi; Safaa Zeidan; Mohammad M. Masud 001 (IET Inf. Secur., 2017)

Resource-Aware Mobile-Based Health Monitoring. - Mohammad M. Masud 001; Mohamed Adel Serhani; Alramzana Nujum Navaz (IEEE J. Biomed. Health Informatics, 2017)

A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients. - Mohammad Mehedy Masud; Muhsin Cheratta (AAAI Workshops, 2018)

Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data. - Mohammad M. Masud 001; Kadhim Hayawi; Sujith Samuel Mathew; Ahmed Dirir; Muhsin Cheratta (ACSW, 2020)

Thwarting ICMP Low-Rate Attacks Against Firewalls While Minimizing Legitimate Traffic Loss. - Kadhim Hayawi; Zouheir Trabelsi; Safaa Zeidan; Mohammad M. Masud 001 (IEEE Access, 2020)

BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Sarkar Snigdha Sarathi Das; Subangkar Karmaker Shanto; Masum Rahman; Md. Saiful Islam 013; Atif Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (CoRR, 2020)

Online streaming feature selection with incremental feature grouping. - Noura H. Al Nuaimi; Mohammad M. Masud 001 (WIREs Data Mining Knowl. Discov., 2020)

Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging. - Moomal Farhad; Mohammad M. Masud 001; Azam Beg (ADMA, 2021)

Smart Online Exam Proctoring Assist for Cheating Detection. - Mohammad M. Masud 001; Kadhim Hayawi; Sujith Samuel Mathew; Temesgen Michael; Mai El Barachi (ADMA, 2021)

Blockchain-based Secure CIDS Operation. - Imran Makhdoom; Kadhim Hayawi; Mohammed Kaosar; Sujith Samuel Mathew; Mohammad Mehedy Masud (CSNet, 2021)

Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks. - Imad Jawhar; Sheng Zhang 001; Jie Wu 001; Nader Mohamed; Mohammad M. Masud 001 (J. Sens. Actuator Networks, 2021)

A panel data estimation of the determinants of life expectancy in selected SAARC countries. - Nusrat Jafrin; Mohammad Mehedy Masud; Abu Naser Mohammad Saif; Masnun Mahi; Moriam Khanam (Oper. Res. Decis., 2021)

Mixed Data Imputation Using Generative Adversarial Networks. - Wasif Khan; Nazar Zaki; Amir Ahmad; Mohammad Mehedy Masud; Luqman Ali; Nasloon Ali; Luai Awad Ahmed (IEEE Access, 2022)

BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data. - Sarkar Snigdha Sarathi Das; Subangkar Karmaker Shanto; Masum Rahman; Md. Saiful Islam 013; Atif Hasan Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Predictive Modeling for the Diagnosis of Gestational Diabetes Mellitus Using Epidemiological Data in the United Arab Emirates. - Nasloon Ali; Wasif Khan; Amir Ahmad; Mohammad Mehedy Masud; Hiba Adam; Luai Awad Ahmed (Inf., 2022)

DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data. - Kadhim Hayawi; Sujith Samuel Mathew; Neethu Venugopal; Mohammad M. Masud 001; Pin-Han Ho (Soc. Netw. Anal. Min., 2022)

TiVEx: Optimized Processing for Time Series Visual Exploration. - Heba Helal; Mohamed A. Sharaf; Mohammad M. Masud 001; Panos K. Chrysanthis (AICCSA, 2023)

Social Media Misinformation Propagation and Detection. - Shama Alalawi; Safa Baalfaqih; Maitha Almeqbaali; Mohammad M. Masud 001 (IIT, 2023)

An Enhanced Deepfake Video Detection Technique. - Mariam Alkaabi; Meera Albloushi; Alyazia Alkaabi; Amna Alhammadi; Fatima Alketbi; Mohammad M. Masud 001 (IIT, 2023)

Orbit Propagation and Determination using Genetic Algorithms. - Shamma Esmaeel Jamali; Mohammad Mehedy Masud (IIT, 2023)

A Comparative Study of Transformer Based Pretrained AI Models for Content Summarization. - Ashika Sameem Abdul Rasheed; Mohammad Mehedy Masud; Mohammed Abduljabbar (IIT, 2023)

A Study on Food Value Estimation From Images: Taxonomies, Datasets, and Techniques. - Jamalia Sultana; Benzir Md Ahmed; Mohammad Mehedy Masud; A. K. Obidul Huq; Mohammed Eunus Ali; Mahmuda Naznin (IEEE Access, 2023)

Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal. - Subangkar Karmaker Shanto; Shoumik Saha; Atif Hasan Rahman 001; Mohammad Mehedy Masud; Mohammed Eunus Ali (CoRR, 2023)

Social media bot detection with deep learning methods: a systematic review. - Kadhim Hayawi; Susmita Saha; Mohammad Mehedy Masud; Sujith Samuel Mathew; Mohammed Kaosar (Neural Comput. Appl., 2023)

A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy. - Moomal Farhad; Mohammad Mehedy Masud; Azam Beg; Amir Ahmad; Luai Awad Ahmed; Sehar Memon (Comput. Biol. Medicine, 2023)

Deep learning approach to security enforcement in cloud workflow orchestration. - Hadeel T. El Kassabi; Mohamed Adel Serhani; Mohammad M. Masud 001; Khaled Shuaib; Khaled Khalil (J. Cloud Comput., 2023)

Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis. - Moomal Farhad; Mohammad M. Masud 001 (ICMHI, 2024)

Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet. - Namya Musthafa; Mohammad Mehedy Masud; Qurban A. Memon (ICMHI, 2024)

From Crayons to Code: AI-Driven Insights into a Child's Mental Health Through Drawings. - Moomal Farhad; Mohammad Mehedy Masud; Aisha Alnaqbi; Rawan Mubarak; Aaisha Aladawi; Sara Alnaqbi (AAAI, 2025)

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data. - Joydeb Kumar Sana; Mohammad M. Masud 001; M. Sohel Rahman; M. Saifur Rahman (CoRR, 2025)