| 2025 | AICCSA | BRAIN-CNet: A Segmentation-guided framework for Brain Tumor Detection and Classification from MRI Scans. | Namya Musthafa, Mohammad M. Masud, Qurban A. Memon |
| 2023 | AICCSA | TiVEx: Optimized Processing for Time Series Visual Exploration. | Heba Helal, Mohamed A. Sharaf, Mohammad M. Masud, Panos K. Chrysanthis |
| 2021 | ADMA | Deep Learning Based Cardiac Phase Detection Using Echocardiography Imaging. | Moomal Farhad, Mohammad M. Masud, Azam Beg |
| 2021 | ADMA | Smart Online Exam Proctoring Assist for Cheating Detection. | Mohammad M. Masud, Kadhim Hayawi, Sujith Samuel Mathew, Temesgen Michael, Mai El Barachi |
| 2017 | DSAA | Toward Optimal Streaming Feature Selection. | Noura H. Al Nuaimi, Mohammad M. Masud |
| 2017 | INFOCOM | Efficient topology discovery and routing in thick wireless Linear Sensor Networks. | Imad Jawhar, Sheng Zhang, Jie Wu, Nader Mohamed, Mohammad M. Masud |
| 2016 | AINA | Network Packet Filtering and Deep Packet Inspection Hybrid Mechanism for IDS Early Packet Matching. | Zouheir Trabelsi, Safaa Zeidan, Mohammad M. Masud |
| 2015 | PAKDD | Online Prediction of Chess Match Result. | Mohammad M. Masud, Ameera Al-Shehhi, Eiman Al-Shamsi, Shamma Al-Hassani, Asmaa Al-Hamoudi, Latifur Khan |
| 2014 | BigData | FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing. | Leila Ismail, Mohammad M. Masud, Latifur Khan |
| 2013 | IWCMC | Firewall performance optimization using data mining techniques. | Umniya Mustafa, Mohammad M. Masud, Zouheir Trabelsi, Timothy Wood, Zainab Al Harthi |
| 2012 | ICDM | Stream Classification with Recurring and Novel Class Detection Using Class-Based Ensemble. | Tahseen Al-Khateeb, Mohammad M. Masud, Latifur Khan, Charu C. Aggarwal, Jiawei Han, Bhavani Thuraisingham |
| 2011 | ICDM | Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. | Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2010 | ICDM | Addressing Concept-Evolution in Concept-Drifting Data Streams. | Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham |
| 2010 | PAKDD | Classification and Novel Class Detection in Data Streams with Active Mining. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2009 | ISMIS | Lacking Labels in the Stream: Classifying Evolving Stream Data with Few Labels. | Clay Woolam, Mohammad M. Masud, Latifur Khan |
| 2009 | PAKDD | A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2008 | EUC | Data Mining for Security Applications. | Bhavani Thuraisingham, Latifur Khan, Mohammad M. Masud, Kevin W. Hamlen |
| 2008 | ICDM | A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. | Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham |
| 2007 | PAKDD | Feature Based Techniques for Auto-Detection of Novel Email Worms. | Mohammad M. Masud, Latifur Khan, Bhavani Thuraisingham |
| 2006 | ISI | Email Worm Detection Using Nave Bayes and Support Vector Machine. | Mohammad M. Masud, Latifur Khan, Ehab Al-Shaer |