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Rodrigo Morales AlvaradoView profile

Lecturer

• Internet of Things
• Android and Mobile Devices
• Refactoring
• +1 more

Rodrigo Morales Alvarado is a full-time Lecturer at the Department of Computer Science & Software Engineering within the Gina Cody School of Engineering and Computer Science at Concordia University. His research focuses on applying Search-Based Software Engineering to improve software design quality, particularly in emergent systems like mobile devices and Internet of Things (IoT). He holds a BSc (2005) and MSc (2008) from the Polytechnic of Mexico, and a PhD (2017) from Polytechnique Montréal. His doctoral work on automated software refactoring earned the Best Thesis Award 2017. His professional experience includes roles as a software developer in the banking sector and a postdoctoral fellowship at Ptidej Lab under Prof. Yann-Gaël Guéhéneuc. He organizes the IEEE/ACM International Workshop on Software Engineering Research and Practices for IoT (SERP4IoT), co-chaired since 2019. His publications span journals like IEEE TSE and conferences such as ICSE and SANER, addressing topics like energy-efficient mobile apps and IoT software challenges. He teaches undergraduate and graduate courses in software engineering, including SOEN 341, SOEN 6481, and SOEN 6611. Awards include the CONACYT Merit Scholarship for Mexican students abroad. He actively reviews for journals like the IEEE Internet of Things and conferences like SANER, and contributed to initiatives like the Concordia Shuffle fundraiser. His tools include EARMO (energy-aware refactoring) and MoMIT (JavaScript interpreter miniaturization for IoT).

Konstantin BeznosovView profile

Professor

• Usable Security
• Distributed Systems Security
• Secure Software Engineering
• +3 more

Konstantin Beznosov is a Professor at the Department of Electrical and Computer Engineering, University of British Columbia, and founder/director of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE). His work bridges usable security , distributed systems security , and privacy in smart devices . Prior to UBC, he served as a Security Architect at Hitachi Computer Products (America) and Concept Five. Research Interests : Usable security, secure software engineering, access control, and privacy in emerging technologies like smart speakers and cryptocurrency. Advising : Mentoring students in topics such as mobile security, authentication, and cybersecurity ethics. Leadership : Founded LERSSE, focusing on network security and user-centered secure system design. His recent articles explore user behavior in smartphone authentication, privacy risks in shared smart speakers, and security challenges in cryptocurrency adoption. He has contributed to standards like XACML and CORBA security specifications and co-authored books on web services and EJB security. Professor Beznosov actively collaborates with industry partners (e.g., Samsung, Symetria) and serves on editorial boards for ACM Transactions on Information and System Security (TISSEC) and the International Journal of Secure Software Engineering (IJSSE).

• Software Engineering
• Performance Testing
• Machine Learning Applications in Software Engineering
• +5 more

Weiyi (Ian) Shang is an Associate Professor at the University of Waterloo, affiliated with the Department of Electrical and Computer Engineering within the Faculty of Engineering. His research focuses on software engineering, performance testing, and machine learning applications in software systems. He leads the Software Engineering and System Engineering Lab, emphasizing practical solutions for logging, performance optimization, and automated testing. Key research areas include log analysis (privacy leakage detection, log summarization, and logging strategies), performance monitoring (regression detection, workload modeling), API evolution (migration techniques, workaround analysis), and automated code generation (LLMs in bug decomposition, AI code evaluation). His work bridges theoretical advancements with industrial applications, particularly in web systems and mobile app ecosystems. Publications span empirical studies, novel algorithms (e.g., DELA for error detection, CoMSA for configuration testing), and tools like LogAssist and Log4Perf. His research consistently addresses challenges in developer productivity, system reliability, and security across diverse domains like federated learning and DevOps practices. Notable contributions include improving log management through topic models, enhancing performance testing efficiency via microbenchmark optimization, and analyzing privacy risks in mobile app logs. Ongoing work explores AI-driven code evaluation and generalizable code embeddings for software tasks. Shang’s lab collaborates with industry on real-world systems, as seen in case studies involving serverless applications and database-centric systems. His research often involves empirical studies and tool development to bridge gaps between academic research and practical software engineering challenges.

Mei NagappanView profile

Assistant Professor

• Big Data
• Empirical Software Engineering
• Security
• +5 more

Mei Nagappan is an Assistant Professor at the David R. Cheriton School of Computer Science, University of Waterloo. Previously, he held positions as an Assistant Professor at Rochester Institute of Technology and as a Post-Doctoral Fellow at Queen’s University’s Software Analysis and Intelligence Lab (SAIL). His research focuses on leveraging big data for empirical software engineering, particularly mining ultra-large software repositories to identify patterns and relationships in ecosystems. He emphasizes solutions addressing stakeholders beyond developers, such as operators, build engineers, and project managers. Education: PhD in Computer Science from North Carolina State University under Dr. Mladen Vouk, and postdoctoral work under Dr. Ahmed Hassan. His research spans vulnerability detection, DevOps, AI in programming (e.g., GitHub Copilot analysis), and diversity in software engineering conferences. Key interests include static analysis, security, and the impact of non-traditional backgrounds in SE. He advocates for inclusive practices and evaluates tools like Copilot through a security and user-centric lens. Research Interests: Big Data Empirical SE, Human-LLM Collaboration, Vulnerability Detection, DevOps, Security, Diversity in SE, Static Analysis Tools. His work bridges theory and practice, with studies on logging practices, build technologies, and mobile app analytics. Recent projects explore barriers faced by non-traditional SE professionals and the effectiveness of AI-driven testing tools. Grants & Advising: While specific grants are not listed, his research is supported by large-scale empirical studies. Advising focuses on graduate students exploring topics like bug localization, LLM limitations, and diversity metrics in open-source projects. His lab collaborates on tools like AddressWatcher for memory leak analysis and RepoQuester for GitHub project evaluation. Labs & Teams: Previously associated with SAIL at Queen’s University. Current collaborations involve the Cheriton School’s SE research groups, focusing on AI in software development and empirical studies of developer workflows.

Zadia CodabuxView profile

Associate Professor

• Empirical Software Engineering
• Technical Debt
• Software Metrics
• +8 more

Zadia Codabux is an Associate Professor at the University of Saskatchewan , Department of Computer Science. Her work focuses on Empirical Software Engineering , Technical Debt , and Software Security . Education: Ph.D. in Computer Science, Mississippi State University (USA) M.S. in Computer Science, University of Mauritius Her research explores technical debt in code reviews, predictive analytics for vulnerability detection, and the intersection of software metrics with security. Recent work includes serverless smell detection tools and studies on LLM impacts on programming platforms. Key publications span conferences like FSE , ESEM , and MSR , with trends showing increasing focus on Android security , code review civility , and developer support systems . Scientific Awards: NSERC Discovery Grant (PI 2021-2026, 2026-2027) IEEE Computer Society TCSE Distinguished Paper Award (SANER'22) SSHRC Insight Grant (collaborator 2024-2025) She supervises PhD and MSc students in software quality research and contributes to equity initiatives like CRA-WP and Grace Hopper Celebration.

Safwat HassanView profile

Assistant Professor

• Artificial Intelligence
• Mobile Computing
• Software Engineering
• +4 more

Safwat Hassan is an Assistant Professor at the University of Toronto's Faculty of Information . He holds a PhD from Queen’s University and has over a decade of industry experience in software engineering roles at companies like the Egyptian Space Agency, Hewlett Packard, Vodafone, and Etisalat. His research focuses on analyzing mobile apps, user-developer interactions, and improving app store quality through techniques like review analysis and release engineering. Education: PhD (Software Analysis and Intelligence Lab, Queen’s University), MSc & BSc (Helwan University). Certifications include Sun Certified Java Programmer and OMG-Certified UML Professional. Research interests span Artificial Intelligence , Mobile Computing , Software Engineering , and User-Centric Design . Recent work explores Large Language Model (LLM) applications in mobile apps, performance bug prediction, and competitive analysis of app features. Current teaching includes INF1341H: System Analysis and Process Innovation. Supervises graduate students Sara Ibrahim Al Hajj Ibrahim and Buthayna AlMulla. Active in open-source Android analysis and CI/CD configuration studies.

Jennifer FisherView profile

Professor

• Contemporary Art
• Curatorial Studies
• Exhibition Practices
• +4 more

Jennifer Fisher is a Professor in the Department of Visual Art and Art History at York University's School of the Arts, Media, Performance & Design (AMPD). She holds a BFA from NSCAD University, and MA and PhD degrees from Concordia University. Her academic work integrates curatorial practice with research in contemporary art, sensory aesthetics, and feminist theory. Research Focus Fisher's research explores interdisciplinary intersections including: Exhibition studies and archival reinterpretation Affect theory and non-visual sensory aesthetics Feminist performance and display practices Curatorial methodologies and artist archives Professional Recognition Contemporary Art Fellow at the National Gallery of Canada Research affiliations at Cornell University and NYU Tisch School of the Arts Co-founder of the Journal of Curatorial Studies Founding member of DisplayCult curatorial collective Notable Projects Fisher co-curated 'Archives by Artists' (2024) at the Archives of Ontario, featuring 18 international artists who reconceptualize archival practice through interactive multiples. The exhibition engaged AMPD students in hands-on curation and will travel to Québec in 2025. Her work frequently integrates academic research with public-facing curation.

Mohamed Nabil LokbaniView profile

Lecturer

• Speech Processing
• C++ Programming
• Android Mobile Development
• +5 more

Mohamed Nabil Lokbani is a Lecturer and Chief of Laboratories (IT Director) at the Department of Computer Science and Operational Research within the Faculty of Arts and Sciences at the University of Montreal . Holding a Ph.D. in Automatic and Signal Processing (1993) from Paris-XI University, he has been teaching since 1999 and managing the department's technical support team since 2007. Education : Doctorate in Automatic and Signal Processing (1993), Paris-XI University Master's (DEA) in Automatic and Signal Processing (1990), Paris-XI University Electrical Engineering Degree (1989), Houari Boumedienne University Research Interests span speech recognition algorithms, bi-text alignment tools, cross-platform software portability, and programming education. He developed the Aladin translation memory tool and focuses on practical software solutions for linguistic and engineering challenges. Teaching includes courses like: Advanced C++ Programming , Big Data Processing , Android Mobile Development , and foundational Java/Python courses. His lecture notes for these courses are frequently updated. Publications reflect expertise in speech recognition, software portability, and translation technology, with technical reports dating from 1990 to 2023. Professional Roles : Chief of Laboratories (IT Director) at DIRO since 2007 Technical Support Team Member (2000-2007) Graduate Studies Committee member since 2004 Researcher at L2S Supelec and CNET France Telecom