جست‌وجوی استاد و پژوهشگر

Marzieh Ahmadzadehمشاهده پروفایل

دانشیار

• Computer Science Education
• Human-Computer Interaction
• Applied Data Mining
• +۳ مورد دیگر

Dr. Marzieh Ahmadzadeh is an Associate Professor (Teaching Stream) at the Department of Electrical Engineering & Computer Science, York University. She holds a Ph.D. and MSc in Information Technology (Software Engineering) from the University of Nottingham, UK, and a BSc in Computer Engineering from Isfahan University. A certified Professional Engineer (P.Eng.) in Ontario, she has held academic positions at Shiraz University of Technology, University of Toronto, and University of Georgia, USA before shifting her focus to education research in 2015. Education: Ph.D., Information Technology (Software Engineering), University of Nottingham (2006) MSc, Information Technology (Software Engineering), University of Nottingham (2002) BSc, Computer Engineering, Isfahan University Her research intersects Computer Science Education and Human-Computer Interaction , with a focus on Applied Data Mining for educational analytics and security applications. She has published in prestigious venues like ACM SIGCSE, IEEE Transactions, and Future Generation Computer Systems. Recent publications demonstrate expertise in: Exam design and cognitive load optimization Ransomware detection in fog computing environments Breast cancer survivability modeling with imbalanced data Gender preferences in e-commerce UX design Academic integrity analysis in programming education

Colin Hennessy Elliottمشاهده پروفایل

استادیار

• STEM Education
• Robotics Education
• Sociopolitical Solidarity
• +۳ مورد دیگر

Colin Hennessy Elliott is an Assistant Clinical Professor of STEM Education at Drexel University. He holds a PhD from New York University, an MS from Rensselaer Polytechnic Institute, and a BS from Rensselaer Polytechnic Institute. His research focuses on sociopolitical solidarity in STEM education, youth-centered learning, and power dynamics in educational settings. Dr. Elliott's research examines how positioning and power affect learning in robotics teams, with particular interest in supporting marginalized youth. His work develops frameworks for debugging pedagogies and explores equity in technology education. His publications primarily investigate educational technology implementation, physical computing challenges, and community-based STEM learning. Recent articles examine teacher support systems, classroom infrastructure, and co-design approaches for STEM education. Dr. Elliott maintains research collaborations focused on equitable technology education and youth development programs.

Hadi Mardani Kamaliمشاهده پروفایل

استادیار

• VLSI design
• Hardware security
• FPGA design
• +۳ مورد دیگر

Hadi Mardani Kamali is an Assistant Professor at the University of Central Florida (UCF) in the Department of Electrical and Computer Engineering . His research focuses on VLSI design and testing , Hardware security and trust , FPGA design , Electronic design automation (EDA) , and Applied machine learning in hardware contexts. Dr. Kamali is actively engaged in research projects related to IC/IP protection , security-aware EDA , and security of learning models .

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +۳ مورد دیگر

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

Jonathan Andersonمشاهده پروفایل

دانشیار

• Computer Security
• Operating Systems
• Privacy Technologies
• +۳ مورد دیگر

Jonathan Anderson is an Associate Professor at Memorial University of Newfoundland's Faculty of Engineering and Applied Science. He holds a B.Eng. and M.Eng. from Memorial University (2006, 2008) and a PhD from the University of Cambridge (2012). His research focuses on computer security, privacy, operating systems, and the hardware/software interface. He is a contributor to the FreeBSD operating system, particularly its Capsicum sandboxing framework, and maintains securityconferences.net . Anderson's work includes the development of the CHERI capability model and the TESLA security logic assertions framework. He has held postdoctoral roles at Cambridge before returning to Memorial in 2014. His honors include the IEEE Canada–Telus Innovation Award and the Rothermere Fellowship. His research spans secure operating systems, cryptographic protocols, and distributed systems. Key contributions include advancements in sandboxing technologies, secure storage systems, and blockchain applications for data integrity. Anderson actively participates in academic workshops and conferences, contributing to the field of security protocols and system design.

• Blockchain Technology
• Machine Learning
• Open Source Software
• +۳ مورد دیگر

Bilyaminu Auwal is a Senior Lecturer at the University of East London, affiliated with the Architecture, Computing & Engineering research institute. His research focuses on blockchain technology, machine learning, digital economy frameworks, and open-source software development. He has contributed to interdisciplinary studies involving InsurTech applications, smart contracts, and socio-economic impacts of technological advancements. Key research themes include blockchain-based solutions for hunger reduction, compliance in financial systems, and hybrid machine learning approaches for translation systems. His work also addresses challenges in software development processes, bug tracking in open-source projects, and data integrity in software repositories. Notable outputs include analyses of blockchain applications in insurance sectors (2024), machine learning for Japanese-English auto-translation (2021), and studies on developer perceptions in blockchain open-source projects (2023). His work spans academic conferences and books, emphasizing practical implementations and socio-technical systems. No scientific awards are explicitly listed in the provided materials. His advising and grants information is currently unavailable. He contributes to research groups focused on computational excellence and digital economy models.

Dongyoon Leeمشاهده پروفایل

دانشیار

• Computer Systems
• Software Reliability
• Software Security
• +۹ مورد دیگر

Dongyoon Lee is an Associate Professor in the Department of Computer Science at Stony Brook University. His research focuses on building reliable, secure, and efficient software systems, spanning compiler design, operating systems, security, and hardware architecture. He holds a Ph.D. (2013) from the University of Michigan, Ann Arbor, and has held positions at Virginia Tech (2014-2019) and internships at Microsoft Research, NEC, and IBM. Education: Ph.D. in Computer Science & Engineering, University of Michigan, Ann Arbor (2013) M.S. in Computer Science & Engineering, University of Michigan, Ann Arbor (2009) B.S. in Electrical and Computer Engineering, Seoul National University (2004) Research Interests: Lee's work addresses challenges in software reliability (e.g., concurrency bugs, transient faults), security (e.g., memory safety, kernel permissions), and runtime systems (e.g., stream processing, distributed storage). He leads the COSY Lab (Compilers, Operating Systems, and Security), emphasizing cross-stack solutions. Recent Article Trends: Recent publications focus on homomorphic encryption compilers (e.g., DaCapo , HECATE ), energy-efficient systems ( Write-Light Cache ), and security tools like DevFuzz for device driver testing. Themes include optimizing performance-security trade-offs and addressing vulnerabilities in edge computing and embedded systems. Awards: Distinguished Paper Awards (ESEC/FSE 2018, ASE 2019), ICTAS Junior Faculty Award (2017), Google Research Award (2015), and ProQuest Distinguished Dissertation Award (2013). Advising & Grants: Supervises students in Ph.D., MS, and undergraduate programs. Secured grants including NSF SaTC funding for homomorphic encryption compilers and projects with the South Korean Agency for Defense Development (ADD). Leads research on ARM TrustZone security and energy harvesting systems. Labs/Teams: COSY Lab (Compilers, Operating Systems, and Security) at Stony Brook, collaborating on cross-disciplinary projects with industry and government partners.

Banani Royمشاهده پروفایل

استادیار

• Software Maintenance and Renovation
• Software Analytics
• Empirical Software Engineering
• +۴ مورد دیگر

Dr. Banani Roy is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan. Her research focuses on software maintenance, empirical software engineering, program comprehension, and scientific workflow management systems. She explores challenges in quantum computing applications for software engineering, AI-driven code tools, and reproducibility in computational experiments. Her work includes developing frameworks like VizSciFlow for scientific workflow visualization and Nutrient App for environmental monitoring via smartphone applications. Her research interests span topics such as code quality analysis, gender disparities in software systems, and XAI (Explainable AI) challenges. She has contributed to tools like CloneCognition for code clone validation and FSECAM for feature-to-architecture linkage. Her recent studies address developer challenges with large language models and federated learning approaches for real-time bug prediction. Dr. Roy's publications emphasize interdisciplinary applications of software engineering principles in scientific computing, quantum algorithms, and community-driven problem-solving platforms. She advocates for reproducible workflows and FAIR (Findable, Accessible, Interoperable, Reusable) data practices in collaborative scientific research. While no awards are explicitly listed, her extensive contributions to open-source tool development and empirical studies highlight her impact in advancing software engineering methodologies. She collaborates on projects involving legacy system reengineering, cloud-based code clone validation, and asynchronous collaboration frameworks for scientific teams.

Erwan Bousseمشاهده پروفایل

دانشیار

• Software Language Engineering
• Model Driven Engineering
• Domain-Specific Languages
• +۶ مورد دیگر

Erwan Bousse is an Associate Professor at Nantes Université, France, affiliated with the Department of Computer Science in the Faculty of Science and Technology. He specializes in Software Language Engineering (SLE), Model Driven Engineering (MDE), and Domain-Specific Languages (DSLs), with a focus on model execution, simulation, debugging, and testing of models within the context of computing within limits. PhD in Computer Science (2015), Université de Rennes 1 MEng in Computer Science (2012), INSA Rennes His research explores executable DSLs, behavioral typing, test coverage frameworks, and debugging tools. Recent publications include work on test amplification, KPI definition, and domain-parametric debuggers. He advises PhD and Master’s students on topics ranging from epidemiological modeling to manufacturing systems. Scientific awards include: MODELSWARD 2024 Best Student Paper Award SoSym 2022 and 2021 Best Reviewer Awards ECMFA 2021 Best Paper Award SoSym 2019 Best Paper Award SLE 2018 Distinguished Reviewer He contributes to projects like ANR Rodic, ITN Lowcomote, and COST Action MPM4CPS, and develops tools such as GEMOC Studio and dpDebugger.

Amittai Aviramمشاهده پروفایل

دانشیار

• Parallel Computing
• Deterministic Systems
• Operating Systems
• +۴ مورد دیگر

Amittai Aviram is an Associate Professor of the Practice in the Department of Computer Science at Boston College's Morrissey College of Arts and Sciences. He holds dual PhDs in Computer Science (Yale University) and English (Yale University), with research spanning parallel computing, deterministic systems, compiler design, and literary theory. His research integrates: Operating system support for deterministic parallelism Cloud computing security and timing channels Economic simulations of democratically managed enterprises Formal approaches to lyric poetry and literary theory His publications demonstrate interdisciplinary expertise, with recent computer science work focusing on parallel programming models (OpenMP), cloud security, and deterministic systems, alongside literary scholarship on poetry, modernism, and dialogism. He maintains educational resources including implementations of B+ trees and Huffman coding algorithms.

Susantha Herathمشاهده پروفایل

استاد

• Systems and Security
• Network Security
• Natural Language Processing
• +۴ مورد دیگر

Dr. Susantha Herath is a Professor in the Information Systems Department at St. Cloud State University's Herberger Business School. He joined the department in Fall 2001 and has prior academic experience at the University of Aizu (1993-2001) and South West Texas State University (1990-1993). His primary teaching areas include Management Information Systems, Systems Analysis and Design, Security and Management of Operating Systems, IT Risk Management, and Research Methodology. Ph.D. in Electrical and Computer Engineering, Keio University, Japan, 1991 M. Eng. in Industrial and Computer Engineering, Electro-Communications University, Japan, 1987 B.S. in Business Administration, Sri Jayawardhanapura University, Sri Lanka, 1978 His research focuses on high-performance dependable systems, network security, natural language processing, and artificial intelligence. He explores probabilistic models for anomaly detection, statistical quality control approaches to intrusion detection, and interdisciplinary applications of computer forensics in accounting and healthcare. His work spans cybersecurity, machine learning, and educational innovations in information systems. Dr. Herath has received recognition as a Senior Member of IEEE. His publications demonstrate expertise in spam detection, economic modeling, and enhancing security curricula through active learning methodologies. He has also contributed foundational work in multilingual perception analysis and computer security laboratories.

Jeremy Bradburyمشاهده پروفایل

دانشیار

• Software Engineering
• Software Quality Assurance
• Testing and Analysis
• +۷ مورد دیگر

Jeremy Bradbury is an Associate Professor in the Faculty of Science at Ontario Tech University, where he has served as Undergraduate and Graduate Program Director for Computer Science and as a member of the Board of Governors. His research focuses on software testing, analysis, and quality assurance, with a particular emphasis on human-centered approaches, empirical methodologies, and concurrency issues in software systems. He leads the Software Quality Research Lab (SQRLab) and develops tools like PIE for visualizing software design patterns and GidgetML for adaptive educational gaming. Education: PhD in Computer Science from Queen's University (2007). Research interests include software visualization, open-source software analysis, flaky test detection, and the application of machine learning to software engineering challenges. His work spans both academic contributions (e.g., combinatorial testing frameworks) and practical innovations like the Run, Llama, Run game for computational thinking education. Recent work explores AI-driven bug prediction, data augmentation bias in ML models, and cybersecurity for connected autonomous vehicles. He has organized workshops on testing configurable systems (ToCaMS) and challenges in parallel computing.

Adam Belayمشاهده پروفایل

دانشیار

• Computer Architecture
• Distributed Systems
• Operating Systems
• +۵ مورد دیگر

Adam Belay is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT, affiliated with the Computer Science & Artificial Intelligence Laboratory (CSAIL). He holds the Jamieson Career Development Chair and focuses on operating systems, runtime systems, and distributed systems, with a particular emphasis on optimizing datacenter efficiency, security, and resource utilization. His work bridges theoretical systems research with practical implementations in cloud environments. Before joining MIT, Belay completed his Ph.D. at Stanford University and worked at Google on datacenter networking. His research addresses challenges such as latency reduction, resource fungibility, and carbon-aware software design. He leads the Parallel and Distributed Operating Systems (PDOS) group and contributes to the Systems Community of Research (CoR) at MIT. His recent publications highlight innovations like Quicksand (resource-efficient datacenter systems), Junction (kernel-bypass networking), and Hermit (low-latency remote memory systems). These projects emphasize real-world scalability and sustainability, reflecting his commitment to advancing both academic and industrial systems. Awarded the 2014 OSDI Best Paper for IX (a protected dataplane OS), Belay has advised numerous students and postdocs, many of whom now hold prominent roles at top universities and companies like Google, Microsoft, and UCSD. He actively serves on program committees for top systems conferences (e.g., OSDI, NSDI, SOSP) and teaches graduate-level OS seminars and undergraduate systems courses.

Tilman Michaeliمشاهده پروفایل

استاد

• Computer Science Education
• Debugging in Classroom
• AI/ML Literacy
• +۴ مورد دیگر

Prof. Dr. Tilman Michaeli is a Professor of Computer Science Education at the Technical University of Munich (TUM), affiliated with the TUM School of Social Sciences and Technology. His academic career includes a doctorate from Friedrich-Alexander University of Erlangen-Nuremberg (2020) and prior research roles at Erlangen and the Free University of Berlin under Prof. Ralf Romeike. He leads the Professorship for Computer Science Education, focusing on didactics, debugging pedagogy, AI/ML literacy, quantum computing education, and digital education transformation. Education Background: Studied Computer Science Teaching at FAU until 2017, completed state examinations, and earned his doctorate in 2020. Appointed to TUM in 2021. Research Interests: Prioritizes empirical and design-based research in computing education. Key areas include debugging strategies in classrooms, AI literacy for K-12, collaborative programming, and integrating quantum computing into curricula. His work emphasizes practical, student-centered approaches. Publications: Over 50 peer-reviewed articles since 2017, focusing on educational technology, teacher training, and curriculum development. Notable works include studies on debugging frameworks, MOOCs for AI literacy, and quantum computing in schools. Grants & Awards: Recipient of the 2019 Doctoral Award from the German Informatics Society for contributions to computer science didactics. Active in securing research grants for projects like DigiProMIN and the AI Training Initiative. Teaching: Leads courses such as Didactics of Computer Science 1/2 and Theoretical Computer Science for Vocational Education. Supervises advanced seminars and doctoral candidates. Teams: Directs a research group including employees like Sven Baumer, Luisa Gebhardt, and Heike Wachter, focusing on collaborative projects like InstaClone and Smerge tools.

• Operating Systems
• Storage Systems
• Programming Languages
• +۳ مورد دیگر

Norman C. Hutchinson is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. He specializes in operating systems, storage systems, programming languages, computer communications protocols, and virtual machine monitors. His research emphasizes scalable distributed systems, storage efficiency, and virtualization technologies. Teaching Hutchinson teaches courses such as CPSC 110 (Computation, Programs, and Programming), CPSC 210 (Software Construction), CPSC 313 (Computer Hardware and Operating Systems), and CPSC 317 (Introduction to Computer Networking). His teaching spans foundational to advanced topics in computer science, reflecting his expertise in systems and networking. Awards and Recognition UBC Computer Science Undergraduate Team Award (2011) CS Department Teaching Award Faculty of Science Achievement Award USENIX Symposium on Networked Systems Design and Implementation Award Research Focus Hutchinson’s research explores scalable storage systems , virtual machine replication , and distributed protocols . Notable projects include SPEX (scalable publish/subscribe systems), Innesto (searchable key-value stores), and Remus (high-availability virtual machine replication). His work addresses challenges in consistency, performance, and reliability in distributed environments. Grants and Labs His research is supported by grants focusing on cloud storage, distributed systems, and virtualization. He collaborates with industry and academic partners to advance practical solutions for modern computing challenges.