جستجوی استاد راهنمای دانشگاهی

Natalia Stakhanova is an Associate Professor and Director of The CyberLab at the University of Saskatchewan, Canada. She is a leading researcher in cybersecurity, with a focus on malware analysis, software obfuscation, mobile security, IoT security, and e-Health security. Her work integrates practical solutions to real-world security challenges, leveraging advanced techniques in reverse engineering, blockchain forensics, and AI-driven security tools. Her research has been recognized with prestigious awards, including the Best Paper Awards at FPS 2023 and EUSPN 2023, and she was named one of Canada’s Top 20 Women in Cybersecurity. She actively contributes to the cybersecurity community through editorial roles (e.g., IEEE TDSC) and conference leadership (e.g., Program Chair of SAD20 and SSPREW19). Stakhanova’s recent work explores AI-generated code security, adversarial analysis of software tools, and blockchain-based healthcare data integrity. Her projects often involve collaboration with industry partners, emphasizing practical impact alongside academic rigor.

• Cybersecurity
• Malware Analysis
• Software Obfuscation
• +۷ مورد دیگر

Nurul Chowdhury serves as an Adjunct Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan's College of Engineering. Holding advanced degrees including BSc, M.Eng, and Ph.D., Dr. Chowdhury's expertise spans electrical and computer engineering domains. Education: BSc, M.Eng, Ph.D., P.Eng Research interests include electrical engineering, computer engineering, systems engineering, hardware design, software development, and embedded systems. Contact information: Room 3B44 Engineering Building, 57 Campus Drive, Saskatoon, SK S7N 5A9.

• Electrical Engineering
• Computer Engineering
• Systems Engineering
• +۳ مورد دیگر

Amir Baharloo serves as an Assistant Teaching Professor (Limited Term) in the Department of Computer Science within the Faculty of Engineering and Computer Science at the University of Victoria. Based in office ECS 617, he is contactable via email at amirbaharloo@uvic.ca or phone at 250-472-5722. His academic focus spans foundational computer science disciplines including Software Engineering , Artificial Intelligence , Data Science , and Human-Computer Interaction , emphasizing pedagogical approaches in technical education. These areas reflect the department's core strengths in developing computational solutions for real-world challenges. As a teaching-focused faculty member, his role centers on curriculum delivery and student mentorship within undergraduate and graduate programs, leveraging the department's integration with UVic's Matrix Institute for Applied Data Science and engineering collaborations.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Yvonne Coady is a Professor in the Department of Computer Science at the University of Victoria. She leads the MOD(ularity) Squad, focusing on system infrastructure modularity, mixed reality systems, and geospatial computing. Her research spans scalable distributed systems, immersive technologies, and AI-driven applications. She has co-authored over 170 papers and supervised numerous graduate students. Research interests include citizen science integration, advanced software modularity, and cloud computing architectures. Collaborations include projects with IBM, Ericsson, and Urthecast, addressing Earth observation, urban planning, and virtual reality analytics. Recognized with the 2015 Knowledge Mobilization Award, her work emphasizes real-world impact through industry partnerships. Current projects explore immersive applications via VR/AR, such as the RAVR and SAVR initiatives, and accessibility-enhanced interfaces. She also investigates geospatial computing for environmental monitoring and disaster response. Awards and grants include NSERC Collaborative Research and Mitacs Accelerate funding. Grants: NSERC grants (2023-2024), Mitacs projects (2020-2024) Labs/Teams: MOD(ularity) Squad, RAVR (Research in Augmented and Virtual Reality) Key Collaborations: Ocean Networks Canada, SALA Lab (UBC)

• Aspect-oriented software development
• Scalable system infrastructures
• Distributed virtualization
• +۷ مورد دیگر

Professor Daniela Damian holds the ECS-CAPI Chair in Inclusive Science, Technology and Engineering at the University of Victoria's Faculty of Engineering and Computer Science. Her research focuses on inclusive design, software ecosystems, and global software development, with particular emphasis on diversity and privacy in technology. She leads the SEGAL Lab, fostering collaborative, globally distributed software engineering practices. Damian is a Distinguished Visiting Professor at institutions like the University of Auckland and Singapore Management University, and has received accolades such as the Royal Society Catalyst Award and the SIGSOFT Distinguished Paper Award. Her teaching emphasizes experiential learning and real-world software engineering challenges, including courses on Global Software Engineering and Requirements Engineering. She pioneered the INSPIRE: STEM for Social Impact Program, empowering students to create tech solutions for societal issues. Damian actively contributes to academic communities through conference organization, editorial roles (e.g., ACM Transactions on Software Engineering), and mentoring doctoral students like Colin Werner and Zane Li. Research Interests: Inclusive software design, global collaboration, requirements engineering, privacy compliance (GDPR), and team coordination in distributed environments. Key Projects: Non-Functional Requirements in Continuous Software Engineering; Diversity and Inclusion in Software Engineering. Her work bridges academia and industry, advocating for ethical practices and equitable technology access. Damian’s TEDx talk on empathy as a technological force underscores her commitment to human-centric innovation.

• Software Engineering
• Requirements Engineering
• Computer-Supported Collaborative Work
• +۴ مورد دیگر

Neil Ernst is an Associate Professor in the Department of Computer Science at the University of Victoria and Director of the Matrix Institute for Applied Data Science. His research focuses on software architecture, requirements engineering, technical debt management, and the integration of AI into software development practices. He previously worked at the Software Engineering Institute (CMU) and holds a PhD in Computer Science from the University of Toronto. Education: PhD in Computer Science, University of Toronto, 2011 M.Sc. in Computer Science, University of Victoria, 2004 Bachelor’s degree with research in Geography and GIS, University of Victoria Research Interests: Software engineering methodologies, empirical studies, technical debt, AI-driven development, and interdisciplinary applications of computing sciences. His work emphasizes human-centered approaches to software architecture and the ethical implications of AI in development practices. Professional Roles: Senior Associate Editor, Journal of Systems and Software Associate Editor, Journal of Empirical Software Engineering Advisor for International Conferences (e.g., ICSE, RE, XP) Current Projects: Technical debt in scientific software, climate informatics, and the societal impacts of AI in software engineering. He advocates for open science and registered reports to improve research rigor. Labs & Teams: Leads the Matrix Institute for Applied Data Science, focusing on transdisciplinary data science applications.

• Software Engineering
• Software Architecture
• Requirements Engineering
• +۶ مورد دیگر

Jens Weber is a Professor and Associate Dean of Professional Programs & Development at the Faculty of Engineering and Computer Science, University of Victoria. He holds a PhD from the University of Paderborn and is a Professional Engineer (P.Eng.) in British Columbia. His research focuses on software engineering with emphasis on safety and security assurance in critical systems, particularly in healthcare, transportation, and defense sectors. He also investigates systems incorporating artificial intelligence and self-adaptation. He teaches courses on security engineering, software architecture, and formal methods. His affiliations include the School of Health Information Science at UBC and the Faculty of Medicine at UBC. Key research projects include GRAPE VINE (graph transformation tools), Information Security Assurance, Medical Device Software Certification, and Medical Systems Hazard Analysis. He serves on the Board of Engineers and Geoscientists BC, chairs the Academic Integrity Committee, and organized conferences like IEEE Health Informatics 2021. His work emphasizes bridging engineering practices with real-world software deployment challenges, especially in health informatics. Awards include the 2019 Société de Biomécanique Young Investigator Award for human body model validation research. Current initiatives include developing data quality frameworks for clinical systems, tool support for functional graph programming, and safety analysis methodologies for adaptive systems.

• Software Engineering
• Safety and Security Engineering
• Health Informatics
• +۵ مورد دیگر

Michael Zastre is an Associate Teaching Professor in the Department of Computer Science at the University of Victoria. He holds a PhD from the University of Victoria (UVic) and is affiliated with the Faculty of Engineering and Computer Science. His office is located in ECS528. Education: PhD (UVic). Research interests are inferred to align with Computer Science and Education, given his role as a Teaching Professor. However, specific research areas are not explicitly listed in the provided text. No scientific awards or publications are mentioned in the available information. No advising or grant details are provided. Labs or research teams are not documented in the text.

• Computer Science
• Software Engineering
• Computer Science Education

Serguei A. Mokhov is an Affiliate Associate Professor in the Department of Computer Science and Software Engineering at Concordia University’s Gina Cody School of Engineering. He also holds the position of Affiliate Assistant Professor at the Concordia Institute for Information Systems Engineering. Additionally, he serves as the Manager for Network, Security & HPC within GCS ENCS and AITS under the Gina Cody School. His research focuses on cybersecurity, high-performance computing (HPC), digital forensics, real-time systems, and distributed computing frameworks like OpenISS and GIPSY. He is actively involved in developing tools for forensic analysis (e.g., Forensic Lucid) and real-time interactive systems for performing arts and multimedia applications. His work bridges computer science with creative technologies, emphasizing interdisciplinary collaboration. Notable projects include the OpenISS framework for real-time broadcast services and the GIPSY system for intensional programming. He has also contributed to machine learning applications in recommendation systems and cybersecurity. His teaching and research support roles involve integrating containerization (e.g., Kubernetes) and HPC into academic and industrial contexts. Recent publications highlight advancements in forensic computing, real-time gesture recognition, and knowledge graph-enhanced recommendation systems. His research often addresses challenges in scalability, interoperability, and real-time performance across diverse domains from digital forensics to interactive art installations.

• Computer Science
• Software Engineering
• Cybersecurity
• +۹ مورد دیگر

Dr. Juergen Rilling is a Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on global software analytics, software traceability, knowledge modeling, and security vulnerabilities, with a strong emphasis on semantic web technologies. He leads projects in software evolution, mining software repositories, and integrating crowd-based data into development practices. His work bridges software engineering theory with practical tools like SeClone and SeByte, enhancing code analysis, dependency management, and security practices. Research interests include semantic modeling for security advisories, feature location via crowd-based screencasts, and API trustworthiness assessment. He has contributed to frameworks like SE-EQUAM for software quality metamodeling and Sv-AF for vulnerability analysis. His recent work explores machine learning applications in software ecosystems and developer behavior analysis through platforms like Stack Overflow. Publications span over two decades, with a focus on scalable clone detection, ontological approaches for traceability recovery, and integrating financial pattern analysis for software quality prediction. His tools and methodologies are applied in open-source ecosystems and industrial software maintenance contexts.

• Software Engineering
• Software Evolution
• Knowledge Modeling
• +۷ مورد دیگر

Nikolaos Tsantalis is a Professor in the Department of Computer Science and Software Engineering. He serves as Associate Chair for Software Engineering and focuses on advancing software engineering practices through automated refactoring tools, empirical studies, and code quality analysis. His work emphasizes improving software maintainability, design quality, and developer productivity. Research Interests: Automated Refactoring (e.g., RefactoringMiner, JDeodorant) Code Smells and Design Patterns Empirical Studies on Refactoring Tool Support for Software Evolution Code Diffing and Tracking IDE Integration for Refactoring Key Contributions: Developed RefactoringMiner (2020), a tool for detecting refactoring operations in commit histories, and JDeodorant, a static analysis tool for identifying and resolving class-level design smells. His recent work explores leveraging LLMs and semantic embeddings for automated refactoring. Advising/Grants: No students are explicitly listed, but Tsantalis has contributed to numerous tool-based projects funded through academic collaborations. His research spans industry-academia partnerships to improve software development workflows. Labs/Teams: Leads research on automated refactoring and software maintenance through collaborations with IDE vendors and open-source communities.

• Software Engineering
• Software Maintenance
• Software Design Quality
• +۵ مورد دیگر

Dr. Bipin C. Desai is a Professor in the Department of Computer Science and Software Engineering at Concordia University. His affiliation includes primary appointment in computer science with no secondary roles noted. Research interests are inferred to focus on software engineering methodologies, computational systems development, and theoretical computer science based on his departmental affiliation. Specific projects or themes require access to his personal website for further details. No publications, awards, or grants are listed in the provided data. Advising records and lab affiliations remain unspecified.

• Computer Science
• Software Engineering
• Systems Development
• +۳ مورد دیگر

Tristan Glatard is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University . He holds a Canada Research Chair (Tier II) on Big Data Infrastructures for Neuroinformatics . His work focuses on reproducible research methodologies, neuroimaging analysis pipelines, and open science frameworks. Key contributions include developing tools like NeuroCI for continuous integration of neuroimaging results and VIP (Virtual Imaging Platform) for collaborative research. Research interests span neuroinformatics , reproducibility in computational science , big data architectures , and machine learning applications in healthcare . His projects address challenges in analytical flexibility, software dependency management, and numerical stability in neuroimaging workflows. He actively promotes open data sharing through initiatives like the Neuroimaging Data Model (NIDM) and Brain Imaging Data Structure (BIDS). Recent work emphasizes cross-platform reproducibility, leveraging containerization (Docker/Guix) and cloud-based solutions. He collaborates with international teams to validate neuroimaging pipelines and benchmark computational tools for large-scale biomedical data analysis. Notably absent from the profile are explicit mentions of academic awards or named graduate students, though his work has significant impact on research methodologies. He is deeply involved in open science advocacy through platforms like Brainhack and the Montreal Neuroinformatics Ecosystem.

• Neuroinformatics
• Reproducibility in Science
• Big Data Infrastructures
• +۴ مورد دیگر

Essam Mansour is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal, and the head of the Cognitive Data Science (CoDS) Lab. His research focuses on Federated Data Science, knowledge graphs, graph neural networks, large language models, and distributed systems. He has received an NSERC Discovery Grant (2020) and leads projects like the Data Civilizer system for big data management and Lusail for scalable RDF querying. He advises students across PhD, Master’s, and undergraduate levels, with notable alumni working at companies like Huawei, Amazon, and as PhD candidates at McGill. Mansour has contributed to systems such as E-Store, Accordion, and StarDB, and holds a pending patent for data processing. He actively reviews for top journals like ACM TODS and IEEE TKDE, and serves on program committees for SIGMOD, VLDB, and ICDE. His work emphasizes scalable systems for data integration, query optimization, and cybersecurity applications using graph-based techniques. The CoDS lab develops platforms like KGNet and KGLac, advancing federated learning and knowledge graph technologies.

• Federated Data Science
• Data Systems
• Distributed Systems
• +۶ مورد دیگر

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).

• Internet of Things
• Android and Mobile Devices
• Refactoring
• +۱ مورد دیگر