A Model-Driven Solution for Financial Data Representation Expressed in FIXML. - Vahdat Abdelzad; Hamoud Aljamaan; Opeyemi Adesina; Miguel Garzón; Timothy Lethbridge (TTC@STAF, 2014)

A Textual Syntax with Tool Support for the Goal-Oriented Requirement Language. - Vahdat Abdelzad; Daniel Amyot; Sanaa A. Alwidian; Timothy Lethbridge (iStar, 2015)

Extended Traits for Model Driven Software Development. - Vahdat Abdelzad (MoDELS (Doctoral Symposium), 2015)

Adding a Textual Syntax to an Existing Graphical Modeling Language: Experience Report with GRL. - Vahdat Abdelzad; Daniel Amyot; Timothy C. Lethbridge (SDL Forum, 2015)

Action languages and precise modeling for cyber-physical systems design and testing. - Omar Badreddin; Maged Elaasar; Vahdat Abdelzad (CASCON, 2016)

The role of semiotic engineering in software engineering. - Vahdat Abdelzad; Timothy C. Lethbridge; Mahmood Hosseini (TOSE@ICSE, 2016)

Merging Modeling and Programming Using Umple. - Timothy C. Lethbridge; Vahdat Abdelzad; Mahmoud Husseini Orabi; Ahmed Husseini Orabi; Opeyemi Adesina (ISoLA (2), 2016)

fSysML: Foundational Executable SysML for Cyber-Physical System Modeling. - Omar Badreddin; Vahdat Abdelzad; Timothy Lethbridge; Maged Elaasar (GEMOC@MoDELS, 2016)

Promoting traits into model-driven development. - Vahdat Abdelzad; Timothy C. Lethbridge (Softw. Syst. Model., 2017)

Collaborative Software Design and Modeling in Open Source Systems. - Omar Badreddin; Wahab Hamou-Lhadj; Vahdat Abdelzad; Rahad Khandoker; Maged Elassar (SAM, 2018)

Improving formal analysis of state machines with particular emphasis on and-cross transitions. - Opeyemi O. Adesina; Timothy C. Lethbridge; Stéphane S. Somé; Vahdat Abdelzad; Alvine Boaye Belle (Comput. Lang. Syst. Struct., 2018)

Calibrating Uncertainties in Object Localization Task. - Buu Phan; Rick Salay; Krzysztof Czarnecki 001; Vahdat Abdelzad; Taylor Denouden; Sachin Vernekar (CoRR, 2018)

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. - Taylor Denouden; Rick Salay; Krzysztof Czarnecki 001; Vahdat Abdelzad; Buu Phan; Sachin Vernekar (CoRR, 2018)

Analysis of Confident-Classifiers for Out-of-distribution Detection. - Sachin Vernekar; Ashish Gaurav; Taylor Denouden; Buu Phan; Vahdat Abdelzad; Rick Salay; Krzysztof Czarnecki 001 (CoRR, 2019)

Out-of-distribution Detection in Classifiers via Generation. - Sachin Vernekar; Ashish Gaurav; Vahdat Abdelzad; Taylor Denouden; Rick Salay; Krzysztof Czarnecki 001 (CoRR, 2019)

Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. - Vahdat Abdelzad; Krzysztof Czarnecki 001; Rick Salay; Taylor Denouden; Sachin Vernekar; Buu Phan (CoRR, 2019)

Simple Continual Learning Strategies for Safer Classifers. - Ashish Gaurav; Sachin Vernekar; Jaeyoung Lee 003; Vahdat Abdelzad; Krzysztof Czarnecki 001; Sean Sedwards (SafeAI@AAAI, 2020)

Improved Policy Extraction via Online Q-Value Distillation. - Aman Jhunjhunwala; Jaeyoung Lee 003; Sean Sedwards; Vahdat Abdelzad; Krzysztof Czarnecki 001 (IJCNN, 2020)

Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning. - Weitao Chen; Rick Salay; Sean Sedwards; Vahdat Abdelzad; Krzysztof Czarnecki 001 (ITSC, 2020)

The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches. - Vahdat Abdelzad; Krzysztof Czarnecki 001; Rick Salay (CoRR, 2020)

Non-divergent Imitation for Verification of Complex Learned Controllers. - Vahdat Abdelzad; Jaeyoung Lee 003; Sean Sedwards; Soheil Soltani; Krzysztof Czarnecki 001 (IJCNN, 2021)

The missing link: Developing a safety case for perception components in automated driving. - Rick Salay; Krzysztof Czarnecki 001; Hiroshi Kuwajima; Hirotoshi Yasuoka; Toshihiro Nakae; Vahdat Abdelzad; Chengjie Huang; Maximilian Kahn; Van Duong Nguyen (CoRR, 2021)

Umple: Model-driven development for open source and education. - Timothy C. Lethbridge; Andrew Forward; Omar Badreddin; Dusan Brestovansky; Miguel A. Garzón; Hamoud Aljamaan; Sultan Eid; Ahmed Husseini Orabi; Mahmoud Husseini Orabi; Vahdat Abdelzad; Opeyemi Adesina; Aliaa Alghamdi; et al. (Sci. Comput. Program., 2021)

Out-of-Distribution Detection for LiDAR-based 3D Object Detection. - Chengjie Huang; Van Duong Nguyen; Vahdat Abdelzad; Christopher Gus Mannes; Luke Rowe; Benjamin Thérien; Rick Salay; Krzysztof Czarnecki 001 (ITSC, 2022)

LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. - Matthew Pitropov; Chengjie Huang; Vahdat Abdelzad; Krzysztof Czarnecki 001; Steven L. Waslander (IV, 2022)

XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection. - Sunsheng Gu; Vahdat Abdelzad; Krzysztof Czarnecki 001 (CoRR, 2022)

3D Object Detection with Track-Based Auto-Labelling Using Very Sparsely Labelled Data. - Mei Qi Tang; Vahdat Abdelzad; Chengjie Huang; Sean Sedwards; Krzysztof Czarnecki 001 (ITSC, 2024)

SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. - Chengjie Huang; Vahdat Abdelzad; Sean Sedwards; Krzysztof Czarnecki 001 (WACV, 2024)

VADet: Multi-Frame LiDAR 3D Object Detection Using Variable Aggregation. - Chengjie Huang; Vahdat Abdelzad; Sean Sedwards; Krzysztof Czarnecki 001 (WACV, 2025)