Architecture for an Autonomic Web Services Environment. - Wenhu Tian; Farhana H. Zulkernine; Jared Zebedee; Wendy Powley; Patrick Martin 001 (WSMDEIS, 2005)

Conceptual Framework for a Comprehensive Service Management Middleware. - Farhana H. Zulkernine; Patrick Martin 001 (AINA Workshops (1), 2007)

Reputation-Enhanced QoS-based Web Services Discovery. - Ziqiang Xu; Patrick Martin 001; Wendy Powley; Farhana H. Zulkernine (ICWS, 2007)

A Middleware Solution to Monitoring Composite Web Services-Based Processes. - Farhana H. Zulkernine; Patrick Martin 001; Kirk Wilson (SERVICES II, 2008)

Autonomic Management of Networked Web Services-Based Processes. - Farhana H. Zulkernine; Wendy Powley; Patrick Martin 001 (Autonomic Computing and Networking, 2009)

A Policy-Based Middleware for Web Services SLA Negotiation. - Farhana H. Zulkernine; Patrick Martin 001; Chris Craddock; Kirk Wilson (ICWS, 2009)

A Design Theory Approach to Building Strategic Network-Based Customer Service Systems. - M. Kathryn Brohman; Gabriele Piccoli; Patrick Martin 001; Farhana H. Zulkernine; A. Parasuraman; Richard T. Watson (Decis. Sci., 2009)

A Comprehensive Service Management Middleware for Autonomic Management of Composite Web Services-Based Processes. - Farhana H. Zulkernine (2009)

An Adaptive and Intelligent SLA Negotiation System for Web Services. - Farhana H. Zulkernine; Patrick Martin 001 (IEEE Trans. Serv. Comput., 2011)

Ultra-large scale services. - Patrick Martin 001; Farhana H. Zulkernine (CASCON, 2012)

Towards a Training-Oriented Adaptive Decision Guidance and Support System. - Farhana H. Zulkernine; Patrick Martin 001; Sima Soltani; Wendy Powley; Serge Mankovski; Mark Addleman (ICDE Workshops, 2012)

A Constraint-Driven Business Object Model for Service-Based Business Processes. - Farhana H. Zulkernine; Piergiorgio Bertoli; Marco Pistore; Andreas Friesen; Jens Lemcke; Bernhard Thimmel; Otfried von Geisau (ITNG, 2012)

Estimating resource costs of data-intensive workloads in public clouds. - Rizwan Mian; Patrick Martin 001; Farhana H. Zulkernine; José Luis Vázquez-Poletti (MGC@Middleware, 2012)

Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud. - Farhana H. Zulkernine; Patrick Martin 001; Ying Zou 001; Michael Bauer 003; Femida Gwadry-Sridhar; Ashraf Aboulnaga (BigData Congress, 2013)

Analytics-as-a-service: confluence of big data, cloud computing and software-as-a-service. - Patrick Martin 001; Farhana H. Zulkernine; Shady Khalifa; Azadeh Eftekhari; B. Ashtiani; Dan Rope; Mike McRoberts; Craig Statchuk (CASCON, 2013)

CAPRI: a tool for mining complex line patterns in large log data. - Farhana H. Zulkernine; Patrick Martin 001; Wendy Powley; Sima Soltani; Serge Mankovski; Mark Addleman (BigMine, 2013)

Towards building performance models for data-intensive workloads in public clouds. - Rizwan Mian; Patrick Martin 001; Farhana H. Zulkernine; José Luis Vázquez-Poletti (ICPE, 2013)

Cost-Effective Resource Configurations for Multi-Tenant Database Systems in Public Clouds. - Rizwan Mian; Patrick Martin 001; Farhana H. Zulkernine; José Luis Vázquez-Poletti (Int. J. Cloud Appl. Comput., 2015)

BINARY: A framework for big data integration for ad-hoc querying. - Azadeh Eftekhari; Farhana H. Zulkernine; Patrick Martin 001 (IEEE BigData, 2016)

Proactive auto-scaling of resources for stream processing engines in the cloud. - Tarek M. Ahmed; Farhana H. Zulkernine; James R. Cordy (CASCON, 2016)

ArchiGen: a conceptual form design tool using an evolutionary computing approach. - Arwin Chan; Farhana H. Zulkernine (CASCON, 2016)

Predicting Movie Box Office Profitability: A Neural Network Approach. - Travis Ginmu Rhee; Farhana H. Zulkernine (ICMLA, 2016)

Using machine learning to predict hypertension from a clinical dataset. - Daniel Lafrenière; Farhana H. Zulkernine; David Barber; Ken Martin (SSCI, 2016)

Towards online graph processing with spark streaming. - Tariq Abughofa; Farhana H. Zulkernine (IEEE BigData, 2017)

Leveraging distributed big data storage support in CLAaaS for WINGS workflow management system. - Hadeel Alghamdi; Farhana H. Zulkernine; Patrick Martin 001 (IEEE BigData, 2017)

Towards building a hybrid model for predicting stock indexes. - Jonathan Creighton; Farhana H. Zulkernine (IEEE BigData, 2017)

Lexa: A tool for detecting dyslexia through auditory processing. - Alexandra Poole; Farhana H. Zulkernine; Catherine Aylward (SSCI, 2017)

Particle swarm optimization for large-scale clustering on apache spark. - Matthew Sherar; Farhana H. Zulkernine (SSCI, 2017)

A Scalable and Robust Framework for Data Stream Ingestion. - Haruna Isah; Farhana H. Zulkernine (IEEE BigData, 2018)

A Comparative Study of LSTM and DNN for Stock Market Forecasting. - Dev Shah; Wesley Campbell; Farhana H. Zulkernine (IEEE BigData, 2018)

Predicting the Effects of News Sentiments on the Stock Market. - Dev Shah; Haruna Isah; Farhana H. Zulkernine (IEEE BigData, 2018)

Large-scale multilevel streaming data analytics. - Farhana H. Zulkernine; Haruna Isah; Sidney Givigi; Yan Liu; Edward Shim; Marwa Elsayed (CASCON, 2018)

Sprouter: Dynamic Graph Processing over Data Streams at Scale. - Tariq Abughofa; Farhana H. Zulkernine (DEXA (2), 2018)

Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approaches. - Michael Judd; Farhana H. Zulkernine; Brent Wolfrom; David Barber; Akshay Rajaram (DEXA Workshops, 2018)

Automated Query Expansion using High Dimensional Clustering. - Morgan Gallant; Haruna Isah; Farhana H. Zulkernine (CoRR, 2018)

The use of Virtual Reality in Enhancing Interdisciplinary Research and Education. - Tiffany Leung; Farhana H. Zulkernine; Haruna Isah (CoRR, 2018)

Detecting Irregular Patterns in IoT Streaming Data for Fall Detection. - Sazia Mahfuz; Haruna Isah; Farhana H. Zulkernine; Peter Nicholls (CoRR, 2018)

A Voice Controlled E-Commerce Web Application. - Mandeep Singh Kandhari; Farhana H. Zulkernine; Haruna Isah (CoRR, 2018)

Fully End-To-End Super-Resolved Bone Age Estimation. - Mohammed Gasmallah; Farhana H. Zulkernine; François Rivest; Parvin Mousavi; Alireza Sedghi (Canadian AI, 2019)

Smart Phone Based Human Activity Recognition. - Hongkai Chen; Sazia Mahfuz; Farhana H. Zulkernine (BIBM, 2019)

A hands-on tutorial on deep learning for object and pattern recognition. - Farhana H. Zulkernine; Haruna Isah; Sazia Mahfuz; Mohammed Gasmallah; Jason T. Lam; Shahzad Khan (CASCON, 2019)

Xu: An Automated Query Expansion and Optimization Tool. - Morgan Gallant; Haruna Isah; Farhana H. Zulkernine; Shahzad Khan (COMPSAC (1), 2019)

A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning. - Shihao Ge; Haruna Isah; Farhana H. Zulkernine; Shahzad Khan (COMPSAC (2), 2019)

A Voice Interactive Multilingual Student Support System using IBM Watson. - Kennedy Ralston; Yuhao Chen; Haruna Isah; Farhana H. Zulkernine (ICMLA, 2019)

Diagnosing PTSD using electronic medical records from canadian primary care data. - Emily Kaczmarek; Alexander Salgo; Hasan Zafari; Leanne Kosowan; Alexander Singer; Farhana H. Zulkernine (NSysS, 2019)

Computer Vision for Detecting and Measuring Multicellular Tumor Shperoids of Prostate Cancer. - Alex Wojaczek; Regina-Veronicka Kalaydina; Mohammed Gasmallah; Myron R. Szewczuk; Farhana H. Zulkernine (SSCI, 2019)

A Survey of Distributed Data Stream Processing Frameworks. - Haruna Isah; Tariq Abughofa; Sazia Mahfuz; Dharmitha Ajerla; Farhana H. Zulkernine; Shahzad Khan (IEEE Access, 2019)

A Real-Time Patient Monitoring Framework for Fall Detection. - Dharmitha Ajerla; Sazia Mahfuz; Farhana H. Zulkernine (Wirel. Commun. Mob. Comput., 2019)

Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation. - Donghao Qiao; Farhana H. Zulkernine (CIBCB, 2020)

Predicting Chronic Obstructive Pulmonary Disease from EMR data. - Hasan Zafari; Sarah Langlois; Farhana H. Zulkernine; Leanne Kosowan; Alexander Singer (CIBCB, 2020)

Effects of Pre-trained Word Embeddings on Text-based Deception Detection. - David Nam; Jerin Yasmin; Farhana H. Zulkernine (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Determining Worker Type from Legal Text Data using Machine Learning. - Yifei Yin; Farhana H. Zulkernine; Samuel Dahan (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Componentry Analysis of Intelligent Transportation Systems in Smart Cities towards a Connected Future. - Priyanka Trivedi; Farhana H. Zulkernine (HPCC/DSS/SmartCity, 2020)

Facial Expression Recognition Using a Simplified Convolutional Neural Network Model. - Amany A. Kandeel; Mina Rahmanian; Farhana H. Zulkernine; Hazem M. Abbas; Hossam S. Hassanein (ICCSPA, 2020)

Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy. - Priyanka Trivedi; Farhana H. Zulkernine (iSCI, 2020)

The Gap between Deep Learning and Law: Predicting Employment Notice. - Jason T. Lam; David Liang; Samuel Dahan; Farhana H. Zulkernine (NLLP@KDD, 2020)

Vision-based Vehicle Detection and Distance Estimation. - Donghao Qiao; Farhana H. Zulkernine (SSCI, 2020)

Towards a Natural Language Query Processing System. - Chantal Montgomery; Haruna Isah; Farhana H. Zulkernine (CoRR, 2020)

A Big Data Lake for Multilevel Streaming Analytics. - Ruoran Liu; Haruna Isah; Farhana H. Zulkernine (CoRR, 2020)

Chatsum: An Intelligent Medical Chat Summarization Tool. - Hasan Zafari; Farhana H. Zulkernine (BHI, 2021)

Heart Rate Monitoring Using PPG With Smartphone Camera. - Amtul Haq Ayesha; Donghao Qiao; Farhana H. Zulkernine (BIBM, 2021)

Predicting the Length of Stay of Patients in Hospitals. - Zhiwei Fu; Xinran Gu; Jia Fu; Mojtaba Moattari; Farhana H. Zulkernine (BIBM, 2021)

BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering. - Yuhao Chen; Farhana H. Zulkernine (IEEE BigData, 2021)

Drivable Area Detection Using Deep Learning Models for Autonomous Driving. - Donghao Qiao; Farhana H. Zulkernine (IEEE BigData, 2021)

Incremental Community Detection in Distributed Dynamic Graph. - Tariq Abughofa; Ahmed A. Harby; Haruna Isah; Farhana H. Zulkernine (BigDataService, 2021)

FireWarn: Fire Hazards Detection Using Deep Learning Models. - Isaac Hogan; Donghao Qiao; Ruikang Luo; Mojtaba Moattari; Austin Carthy; Farhana H. Zulkernine; François Rivest; Mélanie Breton (CogMI, 2021)

Detection of Similar Legal Cases on Personal Injury. - Jason T. Lam; Yuhao Chen; Farhana H. Zulkernine; Samuel Dahan (ICDM (Workshops), 2021)

Measuring Heart Rate and Heart Rate Variability with Smartphone Camera. - Donghao Qiao; Farhana H. Zulkernine; Raihan Masroor; Roshaan Rasool; Nauman Jaffar (MDM, 2021)

Condition-CNN: A hierarchical multi-label fashion image classification model. - Brendan Kolisnik; Isaac Hogan; Farhana H. Zulkernine (Expert Syst. Appl., 2021)

From Data Warehouse to Lakehouse: A Comparative Review. - Ahmed A. Harby; Farhana H. Zulkernine (IEEE Big Data, 2022)

Predictive Modeling of Diabetes using EMR Data. - Hasan Zafari; Jie Li; Farhana H. Zulkernine; Leanne Kosowan; Alexander Singer (HEALTHINF, 2022)

A Comparative Study of De-identification Tools to Apply to Free-Text Clinical Notes. - Ian Pépin; Farhana H. Zulkernine (CASCON, 2022)

A Web Application for Experimenting and Validating Remote Measurement of Vital Signs. - Amtul Haq Ayesha; Donghao Qiao; Farhana H. Zulkernine (iiWAS, 2022)

ReViSe: Remote Vital Signs Measurement Using Smartphone Camera. - Donghao Qiao; Amtul Haq Ayesha; Farhana H. Zulkernine; Nauman Jaffar; Raihan Masroor (IEEE Access, 2022)

AI in predicting COPD in the Canadian population. - Hasan Zafari; Sarah Langlois; Farhana H. Zulkernine; Leanne Kosowan; Alexander Singer (Biosyst., 2022)

ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. - Mojtaba Moattari; Sahar Vahdati; Farhana H. Zulkernine (CoRR, 2022)

Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. - Karen E. Batch; Jianwei Yue; Alex Darcovich; Kaelan Lupton; Corinne C. Liu; David P. Woodlock; Mohammad Ali K. El Amine; Pamela I. Causa-Andrieu; Lior Gazit; Gary H. Nguyen; Farhana H. Zulkernine; Richard K. G. Do; et al. (Frontiers Artif. Intell., 2022)

Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I. - Nur Zincir-Heywood; Robert Birke; Elias Bou-Harb; Giuliano Casale; Khalil El-Khatib; Takeru Inoue; Neeraj Kumar 001; Hanan Lutfiyya; Deepak Puthal; Abdallah Shami; Natalia Stakhanova; Farhana H. Zulkernine (IEEE Trans. Netw. Serv. Manag., 2022)

Quantifying Path Smoothness in Video Object Tracking by Detection. - Mohammed Gasmallah; François Rivest; Farhana H. Zulkernine; Mélanie Breton (Canadian AI, 2023)

I3D Light - A Simple Motion Information Stream for I3D. - Ruikang Luo; François Rivest; Farhana H. Zulkernine (Canadian AI, 2023)

A Comparative Analysis of Graph Neural Networks for Fake News Detection. - Ahmed A. Harby; Farhana H. Zulkernine (COMPSAC, 2023)

Examining Feasibility and Efficacy of Traditional Stream Clustering Algorithms on Complex Human Activity Recognition Data. - Martin Woo; Farhana H. Zulkernine; Hanady M. Abdulsalam (COMPSAC, 2023)

Efficient Video Captioning with Frame Similarity-Based Filtering. - Elyas Rashno; Farhana H. Zulkernine (DEXA (2), 2023)

SPaDe: A Synonym-based Pain-level Detection Tool for Osteoarthritis. - Yuhao Chen; Boqun Shu; Mojtaba Moattari; Farhana H. Zulkernine; John A. Queenan; David Barber (ICDH, 2023)

An Intelligent Email Classification System. - Zili Luo; Farhana H. Zulkernine (SSCI, 2023)

Image Caption Generation Based on Image-Text Matching Schema in Deep Reinforcement Learning. - Elyas Rashno; Mahdieh Safarzadehvahed; Farhana H. Zulkernine; Sidney Givigi (SSCI, 2023)

Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. - Nafiz Sadman; Kazi Amit Hasan; Elyas Rashno; Furkan Alaca; Yuan Tian 008; Farhana H. Zulkernine (SSCI, 2023)

Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds. - Donghao Qiao; Farhana H. Zulkernine (WACV, 2023)

A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data. - Sazia Mahfuz; Farhana H. Zulkernine (CoRR, 2023)

CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion. - Donghao Qiao; Farhana H. Zulkernine (CoRR, 2023)

Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II. - Nur Zincir-Heywood; Robert Birke; Elias Bou-Harb; Giuliano Casale; Khalil El-Khatib; Takeru Inoue; Neeraj Kumar 001; Hanan Lutfiyya; Deepak Puthal; Abdallah Shami; Natalia Stakhanova; Farhana H. Zulkernine (IEEE Trans. Netw. Serv. Manag., 2023)

SKELETRACK: Efficient Tracking of Skeleton in Blurry Videos for Human Activity Recognition. - Haoran Qi; Zihan Zhang; Farhana H. Zulkernine (CIoT, 2024)

Assist-Bot: A Voice-Enabled Assistant for Seniors. - Yuhao Chen; Jiahao Cai; Siyu Chen; Farhana H. Zulkernine; Nauman Jaffar; Amina Al-Marzouqi; Nabeel Al-Yateem; Syed Azizur Rahman (COMPSAC, 2024)

Revolutionizing Healthcare Management: Architecture of a Web-based Medical Triage Service. - Ahmed A. Harby; Eyad ElKhodary; Ronan Almeida; Drishti Sharma; Farhana H. Zulkernine; Furkan Alaca; Khalid Elgazzar; Amina Al-Marzouqi; Nabeel Al-Yateem; Syed Azizur Rahman (COMPSAC, 2024)

Privacy-Preserving Multi-Party Keyword-Based Classification of Unstructured Text Data. - Ian Pépin; Furkan Alaca; Farhana H. Zulkernine (DCOSS-IoT, 2024)

CoBEVFusion Cooperative Perception with LiDAR-Camera Bird's Eye View Fusion. - Donghao Qiao; Farhana H. Zulkernine; Aman Anand (DICTA, 2024)

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data. - Yuhao Chen; Zhimu Wang; Bo Wen; Farhana H. Zulkernine (CoRR, 2024)

Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health. - Bo Wen; Raquel Norel; Julia Liu; Thaddeus Stappenbeck; Farhana H. Zulkernine; Huamin Chen (CoRR, 2024)

Survey: Transformer-based Models in Data Modality Conversion. - Elyas Rashno; Amir Eskandari; Aman Anand; Farhana H. Zulkernine (CoRR, 2024)

Self-Supervised Keypoint Detection with Distilled Depth Keypoint Representation. - Aman Anand; Elyas Rashno; Amir Eskandari; Farhana H. Zulkernine (CoRR, 2024)

YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition. - Ruikang Luo; Aman Anand; Farhana H. Zulkernine; François Rivest (J. Imaging, 2024)

Automatic Diagnosis of Hip and Knee Osteoarthritis from Medical Text Records. - Jiahao Cai; Vidhi Kokel; Farhana H. Zulkernine; John A. Queenan; David Barber (COMPSAC, 2025)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation. - Amir Eskandari; Aman Anand; Drishti Sharma; Farhana H. Zulkernine (COMPSAC, 2025)

Towards a Voice-Adaptive LLM-Based Conversation Bot for Enhanced User Interaction. - Amir Eskandari; Tahosina Monir; Farhana H. Zulkernine; Michele Morningstar; Jordan Poppenk; Björn Herrmann (COMPSAC, 2025)

Data Lakehouse: A survey and experimental study. - Ahmed A. Harby; Farhana H. Zulkernine (Inf. Syst., 2025)

Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology. - Nafiz Sadman; Farhana H. Zulkernine; Benjamin Kwan (CoRR, 2025)