جست‌وجوی استاد و پژوهشگر

• Mechanical Engineering
• Dynamic Systems
• Signal Processing
• +۱۰ مورد دیگر

Md Imam Hossain is a Tutor at the Faculty of Engineering & Information Technology , University of Technology Sydney. He holds a Bachelor of Mechanical Engineering and a Master of Engineering (Research) from UTS. His work focuses on mechanical design, dynamic systems, and biomechanics applications in sports safety. Education : B.Mech.Eng., M.Eng.(Res) (UTS) Teaching : Courses in Mechanical Vibration, Dynamic Systems, and Control Research Areas : Mechanical design, signal processing, sports biomechanics, impact attenuation, simulation modeling Hossain's research integrates mechanical engineering with biomechanics , particularly in greyhound racing and trampoline dynamics . His publications demonstrate expertise in sensors , numerical modeling , and sports infrastructure optimization . Key article trends include: Quantifying g-forces and injury risks in greyhound racing Dynamical modeling of trampoline park safety Simulation platforms for multi-variable motion analysis Software-defined network implementations Acceleration and jerk analysis in animal locomotion Impact attenuation material testing He contributes to industry projects through funded research in system automation , data acquisition , and software development for mechanical systems.

C. Jason Woodardمشاهده پروفایل

استاد

• Software Engineering
• Strategic Management
• Technology Evolution
• +۳ مورد دیگر

C. Jason Woodard is currently a Professor of Engineering and Entrepreneurship at Olin College of Engineering , where he is on leave. His academic journey began with an A.B. from Princeton University and a Ph.D. in Information, Technology and Management from Harvard University. Ph.D., Harvard University, 2006 A.B., Princeton University, 1997 Woodard's research focuses on the evolution of complex product and system designs, particularly the interplay between software architecture and competitive strategy. He investigates how decisions about interfaces, protocols, and standards impact economic and social outcomes in platform ecosystems. His work bridges engineering design and economic modeling using computational simulation and qualitative field studies. Scientific Awards: Innovative Teacher Award, Singapore Management University, 2009 George S. Dively Award, Harvard Business School, 2003 Prior to academia, he worked at IBM as a technical evangelist for Java, XML, and Linux initiatives. His academic career includes serving as an Assistant Professor at Singapore Management University (2006-2015).

Hui Chenمشاهده پروفایل

دانشیار

• Software Engineering
• Wireless Networks
• Wireless Sensor Networks
• +۴ مورد دیگر

Hui Chen is an Associate Professor in the Department of Computer and Information Science at Brooklyn College, City University of New York, and a member of the doctoral faculty in the CUNY Computer Science Ph.D. program. His research integrates software engineering, wireless networks, and system security. Education: B.E. (1993), M.S. (1996), M.S. (2003), Ph.D. (2007) in Computer Science and Geophysics. Chen's research spans modeling and analytics of software and systems , wireless sensor networks, network security, and computer science education . His lab focuses on accountable systems and predictive models for developer behavior. Recent publications emphasize just-in-time defect prediction , internet censorship detection , and wireless sensor applications . Awards include multiple PSC-CUNY grants and an NSF award for secure programming education innovations. Scientific Awards: PSC-CUNY Award #67751-00 55 (2024-2025) NSF #2235976 (2023-2026) Additional PSC-CUNY grants (2018-2024) Chen serves on IEEE/ACM technical program committees and advises students in his MASS lab , which emphasizes industry collaboration and hands-on research in software/hardware security domains.

Ewan Temperoمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Software Metrics
• +۲ مورد دیگر

Ewan Tempero is a Professor in the School of Computer Science at the University of Auckland , holding a PhD from the University of Washington . His research focuses on software design quality , empirical software engineering , and computing education , with a particular emphasis on software metrics and code quality analysis . He serves as Deputy Head of his school and teaches courses like COMPSCI331 and SOFTENG701 . Areas of Expertise: Software Engineering, Software Testing, Software Design Measurement Research Outputs: Over 222 publications, including recent work on technical debt quantification, code style models, and kernel programming education His Qualitas Corpus project provides a curated collection of Java systems for empirical studies. Current research explores veracity debt, program comprehension models, and modularity impacts. Articles like the 2025 Requirements Technical Debt Quantification paper and 2024 Code Style vs Quality study demonstrate his focus on bridging academic research with industry practices through systematic mapping studies, controlled experiments, and educational tool development.

• High-Performance Computing
• Distributed Systems
• Parallel Computing
• +۱۲ مورد دیگر

Juan Jose Costa Prats is a researcher in the Department of Computer Architecture at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He is a key member of the CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes, contributing to advanced research in computing systems and network architectures. His work is deeply integrated into competitive R&D projects, including Horizon Europe and national initiatives focused on digital innovation and infrastructure. Research Interests: Costa Prats specializes in high-performance and distributed computing, with a strong focus on parallel programming models (especially OpenMP), software distributed shared memory (SDSM), cloud computing, virtualization, and cybersecurity. His recent work emphasizes secure and resilient computing systems, particularly through RISC-V-based architectures, hypervisor extensions, and runtime malware detection using opcode analysis and machine learning. He also contributes to educational innovation through remote datacenter laboratories. Publication Trends: His recent publications (2021–2024) reflect a shift toward secure, trustworthy computing environments, especially in cloud and IoT contexts. Themes include RISC-V virtualization, intrusion detection using transfer learning, GPS spoofing detection, and secure development frameworks like Vitamin-V. These works highlight a convergence of system architecture, security, and machine learning. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: While no formal students are listed, Costa Prats collaborates extensively with leading researchers such as Beatriz Otero, Ramon Canal, and Javier Verdú. He participates in numerous competitive R&D+i projects funded by the Spanish government and the European Union, including Horizon Europe, RIS3CAT, and national research programs, focusing on cloud resilience, intelligent cloud management, and RISC-V ecosystem development. Labs and Teams: He is an active member of the CRAAX research group at UPC, which works on advanced computing architectures. His research often involves collaboration with the Barcelona Supercomputing Center. His projects, such as Vitamin-V and Remote DasaLAB, indicate involvement in both secure computing environments and innovative educational platforms.

• Wireless Communications
• Data Communications
• Embedded Systems
• +۵ مورد دیگر

Filip Louagie is a Research Fellow and Business Developer affiliated with Ghent University , where he works in the Faculty of Engineering and Architecture , specifically the Department of Electronics and Information Systems . He concurrently serves as a Business Developer at IMEC, contributing to the Internet Technology and Data Science Lab . His research spans wireless communication systems, embedded technologies, and integrated circuit design, with focus areas including: Wireless positioning systems and antenna propagation Mixed-signal integrated circuit design Software-defined radio implementations IoT-based sensor networks and data communication protocols He leads multiple industry-funded projects through the Industrial Research Fund, including wireless control systems for industrial sites, IoT biometric sensors for healthcare, and electromagnetic field monitoring solutions. His single recent publication demonstrates a practical application of open-source SDR technology with Linux integration. He collaborates within the Innovation in Internet and Data Technology research unit and maintains expertise in Dutch and English.

Merlijn Sebrechtsمشاهده پروفایل

پژوهشگر

• Computer System Architecture
• Computer System Security
• Cryptography, Privacy and Security
• +۹ مورد دیگر

Merlijn Sebrechts is a postdoctoral researcher and policy officer at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud-native technologies, edge computing, and secure system design. Research areas include Kubernetes, WebAssembly, and confidential computing He teaches computer science courses in the Information Engineering Technology program Expertise spans trusted execution environments, software supply chain security, and cloud orchestration His recent publications analyze edge computing security, lightweight virtualization, and intent-based resource management. Key contributions include decentralized orchestration frameworks and benchmarks for cloud performance. Merlijn maintains strong ties to open-source ecosystems through involvement with Kubernetes, Docker, and the Ubuntu community.

Benjamin Mako Hillمشاهده پروفایل

دانشیار

• Online Communities
• Peer Production
• Digital Public Goods
• +۸ مورد دیگر

Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in the Paul G. Allen School of Computer Science & Engineering, the Information School, and the Department of Human-Centered Design & Engineering. His research focuses on the social dynamics of online communities, particularly those producing digital public goods like Wikipedia and Linux. He is a founding member of the Community Data Science Collective and affiliated with the Berkman Klein Center for Internet & Society at Harvard University. Education: PhD in Communication and Media Arts from MIT (2013), advised by Eric von Hippel, Yochai Benkler, Tom Malone, and Mitch Resnick. Notable for his dissertation on early collaborative encyclopedia projects, which won the Dordick Award for Best Dissertation in Communication & Technology. Research interests include peer production, open source governance, algorithmic fairness, and computational social science. His work combines large-scale data analysis with qualitative methods, often addressing how technology design influences community outcomes. Key themes include underproduction in open source, gender disparities in tech, and the role of anonymity in collaboration. He has published over 50 peer-reviewed articles in venues like ACM CHI, CSCW, and New Media & Society, with awards for contributions to understanding remix culture, computational thinking in education, and community moderation. Active in grants totaling over $2M from NSF, Sloan Foundation, and others. Current roles include a 2023–2024 fellowship at Princeton’s Center for Information Technology Policy. Engaged in projects like the Community Data Science Workshops, promoting data literacy, and advising Wikimedia Foundation initiatives. Maintains a prolific blog and contributes to free culture projects like AcaWiki.

Djob Mvondoمشاهده پروفایل

دانشیار

• Virtualization
• Cloud Computing
• Operating Systems
• +۳ مورد دیگر

Djob Mvondo is an Associate Professor at the University of Rennes 1, France, affiliated with the IRISA laboratory and the WIDE Team. He previously held a postdoctoral position at the University of Edinburgh, focusing on virtualization and cloud computing under Antonio Barbalace. His Ph.D. from the University of Grenoble Alpes (2020) explored resilience and sizing in virtualized environments under Prof. Noel De Palma and Prof. Alain Tchana. His research interests span virtualization, cloud computing, and operating systems. Notable achievements include the 2021 ASF and GDR RSD Thesis Prize for his dissertation. He advises two Ph.D. students and collaborates with institutions like Inria and Blacknut. Recent grants include a 300K€ French National Research Agency award (2023) and a 40K€ Rennes Metropole grant for heterogeneous CPU architectures. Teaching includes courses on cloud security, network security in IoT, and ACM programming at ENS Lyon. Active in the academic community, he serves on program committees for conferences such as Eurosys, Middleware, and DSN. He organizes hackathons and contributes to open-source projects like Unikraft. His work addresses challenges in distributed systems, hypervisor optimization, and cloud resilience.

Anton Burtsevمشاهده پروفایل

دانشیار

• Operating Systems
• Computer Security
• Formal Verification
• +۳ مورد دیگر

Anton Burtsev is an Associate Professor at the Kahlert School of Computing, University of Utah. His research focuses on redefining operating system architectures to address modern challenges like security attacks, data center workloads, and heterogeneous hardware. He leads the Mars Research Group, developing systems like the formally verified Atmosphere microkernel in Rust/Verus, and the high-performance DRAMHiT hash table. Key projects include Rust for Linux kernel integration, verified drivers (Veld), and isolation mechanisms like RedLeaf OS. Research interests include kernel isolation, formal verification, language safety (Rust), and overcoming the memory wall. Current work emphasizes clean-slate OS designs and retrofitted security solutions for existing kernels. Collaborative projects include Horizon (secure scientific cloud computing) and RedLeaf OS verification efforts. Advising undergraduate to PhD students interested in OS research. Notable grants include NSF CAREER (NgOS) and collaborative NSF grants on verified systems. Active in the MARS reading group and open-source contributions via repositories.

Matthew Williamsonمشاهده پروفایل

استادیار

• Algorithmic Graph Theory
• Shortest Paths
• Negative Cycle Detection
• +۳ مورد دیگر

Matthew Williamson is an Assistant Professor and Director of the eSports Department in the Mathematics and Computer Science department at Marietta College. He holds a Ph.D. from West Virginia University (2013) and returned to Marietta College in 2017 after serving as an Assistant Professor at WVU Institute of Technology. His research focuses on algorithmic graph theory, shortest paths, and negative cycle detection, with publications in journals like the Journal of Discrete Algorithms and Algorithmica. He teaches courses such as Computer Organization & Architecture, Programming Languages, Linux System Administration, Scientific Computing, and Game Development. Williamson also advises student organizations, including the Association of Computing Machinery and E-Sports teams. His academic background includes a double major in Computer Science and Mathematics from Marietta College (2007) and a minor in Leadership Studies. Williamson’s professional roles extend beyond teaching to include leadership in academic and extracurricular activities, reflecting his commitment to both technical education and student engagement.

Dan Carrereمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Unix Systems
• Networking
• +۳ مورد دیگر

Dan Carrere serves as a Senior Lecturer in Cybersecurity within the Department of Computer Science at the University of Oregon's School of Computer and Data Sciences. With 34 years of industry experience and 24 years of teaching expertise, he specializes in cybersecurity systems, Unix environments, and network infrastructure. He holds multiple leadership roles including Program Advisor for the Cybersecurity Degree, Club Advisor for UOsec.org, and Program Director for UO Cybersecurity Camps (2024-2025) as part of NWCyberCamp.org and GenCyber initiatives. His research and teaching interests focus on: Cybersecurity systems, network infrastructure, and Cloud/MultiCloud security Unix systems including BSD (FreeBSD, OpenBSD), Illumos (SmartOS, OmniOS), and Linux (Debian, Ubuntu, RH) Optical networking and WDM technologies ZFS filesystem storage solutions Virtualization platforms (bhyve, KVM, Xen) and containerization (Zones, Jails) Systems performance optimization Carrere actively develops cybersecurity education through HECC-funded high school outreach (NICE program), asynchronous learning options for CS 102, and the UO TSOC (Training Security Operations Center) for hands-on student training. He serves on the UO CS Undergraduate Education Committee and leads accreditation efforts for NSA CAE-R designation of the CS PhD program. As a pioneer in open-source communities, he co-founded early BSD/Linux user groups and served on boards of organizations like BSDFund and LinuxFund. His current initiatives include expanding UOsec resources, preparing summer cybersecurity camps, and enhancing ISP security infrastructure through practical student training.

Julien Arinoمشاهده پروفایل

استاد

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +۳ مورد دیگر

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Adam Romanikمشاهده پروفایل

استاد مدعو

• Database and Other Retrieval Systems
• Information Systems and Technologies
• Information Technology Management
• +۵ مورد دیگر

Adam Romanik is an Adjunct Professor in the Library Science Department at Clarion University, where he teaches courses in information and data science, and computer operating systems. He also serves as the Virtual Services Manager at Harford County Public Library, bringing over 15 years of experience in libraries and IT industries. His academic background includes a Master’s and Bachelor’s in Library Science from Clarion University, 30 graduate credits in Information Systems Management from the University of Phoenix, and an MCSE certification. Current Roles: Adjunct Instructor (Clarion University), Virtual Services Manager (Harford County Public Library) Previous Roles: Adjunct Computer Network Instructor (ITT Technical Institute), LAN Administrator (Temple University), Help Desk Team Lead (Randstad USA) His teaching and professional interests span database systems, information technology management, network administration, web design, and library technologies . He has extensive hands-on experience with Windows and Linux servers, ILS systems, mobile apps, and database authentication. Adam's research interests include information retrieval, digital libraries, IT management, and public library services . While no publications or awards are listed, his practical expertise bridges academic instruction with real-world library and IT operations. He has advised and taught students in information science and technology programs, contributing to workforce development in library and IT fields. Adam is actively engaged in both academic and professional communities, integrating technology and library science to enhance virtual services and educational outcomes.

Kevin Andreaمشاهده پروفایل

استادیار

• Systems Programming
• Embedded Systems
• Internet of Things
• +۳ مورد دیگر

Kevin Andrea is a full-time teaching-track Assistant Professor in the Department of Computer Science at George Mason University's College of Engineering and Computing. With a PhD in Computer Science from GMU, he teaches systems programming courses including Computer Systems and Programming (CS 367), Operating Systems (CS 471), and graduate-level Computer Systems and Fundamentals of Programming (CS 531). His research focuses on embedded systems, internet of things, and low-level programming, combining practical implementation with educational innovation. PhD, Computer Science, George Mason University (2023) MS, Computer Science, George Mason University BS, Computer Science, George Mason University AA, Computer Information Systems – Systems Programming, De Anza College Andrea's research bridges hardware-software interactions through projects like resilient hierarchical routing for wireless networks and swarm robotics integration with sensor motes. His 2023 Resilient Hierarchical Routing for Wireless Networks and 2020 co-authored work on cross-disciplinary active learning strategies demonstrate his dual focus on technical innovation and pedagogical advancement. His publications, including the 2017 MILCOM Best Paper Award-winning Multicast Address Moving Target Defensive System , reveal consistent contributions to network security and embedded systems. The 2014-2016 series on RPL-based protocols and swarm robotics establish foundational work in low-power networking and mobile sensor systems. Teaching Excellence Award, George Mason University (2025) Outstanding Term Assistant Professor, College of Engineering and Computing (2025) Outstanding Teaching Award, Department of Computer Science (2019-2020) Outstanding Mason Core Info Tech Ethics Course (2018) As advisor for CS courses with extensive project components, Andrea emphasizes hands-on learning through Zeus Linux server-based assignments requiring strict compliance with academic integrity policies. He leads the Computer and Networking Systems (CNS) Lab and collaborates with the Autonomous Robotics Laboratory, applying systems programming principles to robotic platforms.