| 2023 | PKAW | Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach. | Rashi Bhalla, Farhaan Mirza, Muhammad Asif Naeem, Amy Hai Yan Chan |
| 2021 | ICDM | Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift. | Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, Muhammad Asif Naeem |
| 2020 | ICDM | Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise. | Benjamin Denham, Russel Pears, Muhammad Asif Naeem |
| 2018 | IVCNZ | Reducing the Pain: A Novel Tool for Efficient Ground-Truth Labelling in Images. | Christopher J. Rapson, Boon-Chong Seet, Muhammad Asif Naeem, Jeong Eun Lee, Mahmoud Al-Sarayreh, Reinhard Klette |
| 2017 | ADC | A Multi-way Semi-stream Join for a Near-Real-Time Data Warehouse. | Muhammad Asif Naeem, Kim Tung Nguyen, Gerald Weber |
| 2017 | CSCWD | Uncovering useful patterns in shopping cart data. | Ali Haider Hussein Ghazala, Muhammad Asif Naeem, Farhaan Mirza, Noreen Jamil |
| 2017 | CSCWD | A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. | Hoa Hong Nguyen, Farhaan Mirza, Muhammad Asif Naeem, Minh Nguyen |
| 2017 | CSCWD | Document level semantic comprehension of noisy text streams via convolutional neural networks. | Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza |
| 2017 | ITNAC | A crowd sourced framework for neighbour assisted medical emergency system. | Akbar Hossain, Farhaan Mirza, Muhammad Asif Naeem, Jairo A. Gutirrez |
| 2017 | Mobiquitous | Detecting Falls Using a Wearable Accelerometer Motion Sensor. | Hoa Hong Nguyen, Farhaan Mirza, Muhammad Asif Naeem, Mirza Mansoor Baig |
| 2017 | WWW | Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach. | Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza |
| 2016 | ADC | Optimising Queue-Based Semi-stream Joins by Introducing a Queue of Frequent Pages. | Muhammad Asif Naeem, Gerald Weber, Christof Lutteroth |
| 2015 | ADC | A Cache-Based Semi-Stream Join to deal with Unmatched Stream Data. | Muhammad Asif Naeem, Imran Sarwar Bajwa, Noreen Jamil |
| 2015 | DOLAP | S3J: A Parallel Semi-Stream Similarity Join. | Hao Gao, Muhammad Asif Naeem, Christof Lutteroth, Gerald Weber |
| 2014 | DaWaK | Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data. | Muhammad Asif Naeem, Gerald Weber, Christof Lutteroth, Gillian Dobbie |
| 2013 | APWEB | Tuned X-HYBRIDJOIN for Near-Real-Time Data Warehousing. | Muhammad Asif Naeem |
| 2013 | CIKM | A generic front-stage for semi-stream processing. | Muhammad Asif Naeem, Gerald Weber, Gillian Dobbie, Christof Lutteroth |
| 2013 | DaWaK | SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module. | Muhammad Asif Naeem, Gerald Weber, Gillian Dobbie, Christof Lutteroth |
| 2012 | ADC | Optimised X-HYBRIDJOIN for Near-Real-Time Data Warehousing. | Muhammad Asif Naeem, Gillian Dobbie, Gerald Weber |
| 2012 | DaWaK | A Lightweight Stream-Based Join with Limited Resource Consumption. | Muhammad Asif Naeem, Gillian Dobbie, Gerald Weber |
| 2012 | NLDB | Interacting with Data Warehouse by Using a Natural Language Interface. | Muhammad Asif Naeem, Saif Ullah, Imran Sarwar Bajwa |
| 2011 | ACC | NL-Based Automated Software Requirements Elicitation and Specification. | Ashfa Umber, Imran Sarwar Bajwa, Muhammad Asif Naeem |
| 2011 | NLDB | On Specifying Requirements Using a Semantically Controlled Representation. | Imran Sarwar Bajwa, Muhammad Asif Naeem |
| 2010 | CEC | A swarm intelligence based clustering approach for outlier detection. | Shafiq Alam, Gillian Dobbie, Patricia Riddle, Muhammad Asif Naeem |
| 2010 | DOLAP | R-MESHJOIN for near-real-time data warehousing. | Muhammad Asif Naeem, Gillian Dobbie, Gerald Weber, Shafiq Alam |
| 2008 | EDOC | An Event-Based Near Real-Time Data Integration Architecture. | Muhammad Asif Naeem, Gillian Dobbie, Gerald Weber |