Jocelyn Corey is a Lecturer in the Department of Computer Science at Swarthmore College, where she teaches laboratory sections for introductory computer science and systems courses. Her professional background includes roles in IT and software development at Vanguard, focusing on systems engineering and infrastructure operations. She holds a BS in Information Sciences & Technology from Penn State University, with a minor in Spanish. Corey currently teaches CS 21 (Intro to Computer Science) and CS 31 (Intro to Computer Systems) labs, managing multiple sections per week. Her expertise spans technical leadership in Linux environments and educational instruction, blending practical IT experience with academic teaching. Office hours are held across courses, emphasizing accessibility for students. No scientific awards or grants are explicitly mentioned in the provided text. Her advising and research activities remain unspecified, though her role as a lab instructor suggests a focus on pedagogical support and practical skill development in computer science education.
Diarmuid O Briain is a researcher with expertise in cybersecurity, industrial control systems, and network infrastructure. His work focuses on developing open-source testbeds for simulating cyber threats, analyzing vulnerabilities in industrial systems, and advancing internet exchange points (IXPs) in developing regions. Key areas of research include MITRE ATT&CK framework applications, software-defined networking (SDN), and network virtualization. He has contributed to studies on East African internet infrastructure and Uganda's digital transformation. His research agenda emphasizes practical solutions for cybersecurity challenges in critical infrastructure and scalable network designs for under-resourced regions. Notable contributions include the Vicsort open-source testbed and frameworks for distributed IXPs in developing countries. While no formal academic appointments or awards are listed, his publications highlight active engagement with global cybersecurity and network policy issues. Diarmuid's work bridges technical innovation with socio-economic considerations, particularly in contexts where robust internet infrastructure is critical for development. His articles span from 2010 to 2024, showing sustained contributions to both cybersecurity and network architecture domains.
Elias Allayiotis is an Associate Lecturer in the Department of Computing at the School of Sciences, University of Central Lancashire Cyprus. He holds a PhD in Computer Science (2017) and has professional certifications in Information Systems Auditing and Linux Administration. His research focuses on enhancing mobile user Quality of Experience (QoE) through context-aware systems and mobile-to-cloud computing architectures. Education: PhD (UCLan, 2017), MSc & BSc (Roosevelt University, 2004–2007) Certifications: ISACA, LPI, HEA His research interests include modeling mobile QoE using context-aware approaches, optimizing mobile-to-cloud data offloading, and developing adaptive systems for user-centric experiences. He has published in venues like IEEE PIMRC and IWCMC. Awards: AWS Research Grant (2015), UCLan PhD Scholarship (2013) Professionally, he has held roles as CTO/VP of Product Development at Competitive Analytics Professionals and Managing Director at UVIA Technologies. He teaches the Masters Project module (CO4804) and is a member of ACM, IEEE, and ICSC.
Badr-Eddine Boudriki Semlali, born in 1992 in Tangier, Morocco, serves as a Researcher at the Department of Computer Sciences within the Faculty of Sciences and Techniques of Tangier (FSTT) at Abdelmalek Essaâdi University, while concurrently pursuing his Ph.D. in the RSLab of the Signal Theory and Communications department at the Polytechnic University of Catalonia (UPC) in Barcelona, Spain. He completed both his Bachelor's and Master's degrees in Computer Sciences Engineering at FSTT in 2017. His research pioneers big data analytics architectures for remotely sensed earth observation, targeting critical environmental challenges including air pollution monitoring, forest fire detection, climate change modeling, ionospheric scintillation analysis, and earthquake prediction. Technical proficiencies span Linux/Windows systems, network/database administration, distributed/embedded systems programming, cloud computing, HPC, and machine learning for classification tasks. His contributions have been recognized through prestigious international fellowships: Erasmus+ KA107 Fellowship (awarded twice) VLIR-UOS Fellowship Campus MARE NOSTRUM Fellowship of Murcia He actively engages in pedagogical activities involving teaching and student supervision, serves as a reviewer for the IJEMA journal, and maintains memberships in IEEE Young Professional and ASAF.
Julien DEVEMY is a Researcher at the Clermont-Ferrand Institute of Chemistry (ICCF) within Université Clermont Auvergne. He is a core member of the Thermodynamics and Molecular Interactions (TIM) research team. Additionally, he serves as an elected member of the ICCF Unit Council representing ITA/BIATSS staff and acts as the Training Correspondent (CoFo) for Chemistry Building 7. His technical expertise includes the development of scientific computing codes for simulation and post-processing, alongside Linux systems administration. Devoted to advancing computational methodologies in chemistry, his work intersects software development with thermodynamic modeling. He actively contributes to institutional governance through his roles in the ICCF council and training coordination. No scientific awards or publications are explicitly listed in available records, though his technical contributions to research infrastructure are central to his role. Labs/Teams: Primary affiliation with the TIM team at ICCF. No additional lab descriptions provided in text.
Rosen Pasarelski is a Professor in the Telecommunications Department at New Bulgarian University (NBU), where he has taught since 2003. His academic career includes roles as assistant professor (2003–2015) and current professor status since 2015. He has directed NBU's Telecommunications bachelor's program (2005–2015) and actively participates in departmental councils and seminars. Education : PhD in Radio Transmitter and Receiver Equipment (2009), Master's in Telecommunications Systems (2003), Bachelor's in Telecommunications Systems (2001), Specialist degree in Telecommunications (1999) His research focuses on radio communications , wireless networks , and WEB technologies , with recent publications exploring 5G network optimization, microwave antennas for space-based radar, IoT vehicle tracking, and femtocell technologies. He has contributed to projects including satellite studio development, WLAN network analysis, and electromagnetic field safety studies. Recent publications highlight trends in 5G network algorithms , radio wave attenuation modeling , and AI-driven cybersecurity . His work often intersects telecommunications engineering with practical applications in smart city infrastructure and educational technology . He teaches courses such as: Network Administration and Virtualization Applied Software for Telecommunications Mobile Communications WEB Services Installation Computer Hardware/Software Installation Technical expertise includes LINUX systems , cloud computing , VoIP security , and WiMAX protocol analysis . He holds advanced English and Russian language proficiency alongside native Bulgarian.
Ali Ghane serves as Associate Professor and Program Director of the M.S. in Computer Information Technology at Elmhurst University's Department of Computer Science and Information Systems. He joined the institution in 1996 as Assistant Director for Academic Computing and transitioned to full-time faculty in 1997, where he continues to lead the MCIS program. His educational background includes a Master of Science in Electrical Engineering (MSEE) and Master of Science in Biomedical Engineering (MSBE). Prior to Elmhurst, he worked as a research specialist at the University of Illinois at Rockford, College of Medicine. Dr. Ghane's research centers on Signal Processing and Computer Networks , with specialized expertise in Blind Adaptive Filtering, Voice Recognition, and Digital Signal Processing. His work bridges theoretical signal processing techniques with practical networking applications, particularly in voice and data transmission systems. He teaches diverse courses spanning foundational to advanced topics: CS 111 (Introduction to Software Applications), CS 205 (Linux), CS 310 (Computer Organization), IT 312 (Networking Fundamentals), CS 315 (Web Design), and graduate-level networking courses including Cloud Computing and Voice Over IP. Scientific Awards: No awards or honors were documented in the source material. As Program Director, he oversees curriculum development and administration for the MCIS program. His academic leadership extends to mentoring students in computer information systems, though specific advisees and research grants were not detailed in the provided text.
Bentley Oakes is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a Ph.D. (2018) and M.Sc. (2015) from McGill University, and a B.Sc. (2013) from the University of Manitoba. His research focuses on Digital Twins , Model Transformations , and Knowledge Representation for cyber-physical systems. Ph.D. in Computer Science, McGill University, Canada M.Sc. in Science, McGill University, Canada B.Sc. in Computer Science, University of Manitoba, Canada His work bridges Model-Driven Engineering and Artificial Intelligence to advance the rigorous development of digital twins. Key research areas include: Digital Twin Engineering : Frameworks for systematic development, reporting, and validation. Knowledge Representation : Ontologies and contracts for modeling domain expertise. Model Transformations : Symbolic execution and debugging of ATL/DSLTrans transformations. Verification : Formal methods for cyber-physical systems and co-simulations. Oakes has published extensively in MODELS , MSR , TOSEM , and SoSyM . His recent studies on rationale extraction in open-source software and DevOps approaches for built assets highlight interdisciplinary innovations. He has been recognized for Outstanding Reviewing Contributions , receiving multiple Best Reviewer Awards at leading software engineering venues. At Polytechnique Montréal, he teaches courses such as: INF6900AE : Scientific and Technical Communication I INF7900AE : Scientific and Technical Communication II LOG6953FE / LOG6310E : Digital Twin Engineering LOG8371E : Software Quality Engineering
Nathan Sanders is a data scientist and Faculty Associate at Harvard University's Berkman Klein Center for Internet & Society, where he focuses on creating open technology to help vulnerable communities and stakeholders participate in public policy analysis and development. His work bridges the gap between technical AI development and democratic governance, with a particular emphasis on ensuring that AI serves public interests rather than corporate ones. Sanders holds a PhD in Astronomy and Astrophysics from Harvard University and completed his undergraduate work in Physics and Astrophysics at Michigan State University. His early career included founding Astrobites, a platform for graduate student science communication in astrophysics, which later expanded to ScienceBites, a multi-lingual network of science writing collaboratives. As a Berkman Klein Center Fellow in 2020-2021, Sanders helped create the Harvard Climate Justice Design Fellowship program and the Massachusetts Platform for Legislative Engagement (MAPLE). His research interests span artificial intelligence, public policy, democratic governance, and civic technology. He has built and led data science teams in industry at Legendary Pictures, WarnerMedia, Flagship Pioneering, and Harvard Business Publishing, developing methods in Bayesian inference, natural language processing, computer vision, and deep learning. Sanders has published extensively on the intersection of AI and democracy, with recent articles examining how AI could transform legislative processes, democratic engagement, and public policy. His work analyzes both the risks and opportunities presented by AI in governance, with particular attention to preventing corporate capture of AI systems and ensuring they serve public interests. He has co-authored numerous influential pieces with Bruce Schneier, including the forthcoming book "Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship" (MIT Press, 2025). Among his notable scientific contributions are the development of statistical methods for public health analysis modeling long-term trends in mass public shootings and the creation of open-source applications for participatory oversight of environmental regulation. Sanders has also served as a science policy fellow in the Massachusetts Senate and House of Representatives, bringing technical expertise to legislative processes. Sanders is a co-founder of several influential science communication initiatives, including Astrobites (the astrophysical literature digest), ScienceBites (the multi-lingual association of graduate student science writing collaboratives), and the international science communication workshop series ComSciCon. His early career included significant contributions to open source software communities, with writings about KDE, Linux, and other open technologies.
Dr. Reza Mirsalari is a Part-Time Lecturer in the Department of Computer Science and Software Engineering at Concordia University. He teaches courses covering Full-Stack Web Development (Java, .NET, PHP), Mobile App Development (iOS/Android), Game Development with Unity, and Cloud Software Development using Azure/AWS. His research focuses on advancements in software engineering, including AI's impact on development processes, software quality metrics, large-scale architectural design, team dynamics in agile environments, and API integration strategies. Teaching emphasizes practical application of technologies like Spring Boot, ASP.NET Core, Laravel, Unity, and Linux system administration. Research activities include exploring cloud computing patterns, microservices, and methodologies like Waterfall vs. Agile. He is also involved in software measurement techniques and big data analytics for extracting actionable insights. Dr. Mirsalari does not currently supervise theses. No specific grants or labs are listed in the profile.
Thais Mothe-Diniz is a Researcher and Adviser at the Faculty of Natural Sciences, NTNU, holding roles such as Research Adviser in the NV Faculty Administration and Admin Coordinator for the FME-Hydrogeni Project. She specializes in asteroid mineralogy and surface composition, with expertise in EU project management. Her research focuses on asteroid family dynamics, spectroscopic analysis, and planetary science. PhD in Astronomy (2002, mineralogy of small planets) MSc in Astrophysics (1998, Celestial Mechanics) Bachelor in Pure Mathematics (1994, Maxwell's equations) Research interests include asteroid mineralogy, space weathering processes, and the structural analysis of asteroid families. She has extensive experience in coordinating international projects like REVITALISE and SisAl Pilot, and manages NTNU's collaborations with institutions like Jotun and the Paris Observatory. Publications span asteroid taxonomy, volatile detection (e.g., ice on 24 Themis), and compositional studies of basaltic asteroids in the outer main belt. Her work bridges observational astronomy and planetary formation theories, with contributions to missions like NASA's Dawn targeting Ceres and Vesta. Notable competencies include certified conflict mediation (Red Cross), project leadership, and technical skills in Linux/macOS systems.
Todd O. Arney is an Associate Teaching Professor in the Applied Computing Program at Michigan Technological University's College of Computing, serving as Program Director for the BS in Information Technology. With 18+ years of industry experience, he specializes in hands-on teaching of Linux systems, cybersecurity, and ethical technology application across corporate, educational, and non-profit sectors. Education: MS in Health Informatics, Michigan Tech BS in Computer Network and System Administration, Michigan Tech Research & Teaching Interests: Focuses on wireless security, virtual computing, and cybersecurity practices. Emphasizes real-world application through case studies in education. Active in teaching Linux administration, Microsoft systems, scripting for automation, and infrastructure services. Advocates for integrating ethics into technology education. Advisory Roles: Co-Advisor for Epsilon Pi Tau (EPT) Honor Society, Open Source Club, and Faculty Advisor for Linux Users Group (LUG). Previously advised the Association of Information Technology Professionals (AITP). Articles & Research Trends: Recent work emphasizes cybersecurity education methodologies, scripting for security automation, and medical device security challenges. Highlights case-driven pedagogy and top-down learning approaches for effective cybersecurity training.
Cem Taşkın is an Assistant Professor at the Department of Computer Engineering, Trakya University, and has served as Department Head since January 2023. Previously, he was Assistant Professor at Tunca Vocational School (2011-2014) and held administrative roles as School Director (2013-2017) and Deputy Director (2012-2013). He earned his PhD in Computer Engineering from Trakya University in 2010. High School: Kırklareli Anatolian High School (1999) Bachelor's: Trakya University, Computer Engineering (2003) Master's: Trakya University, Computer Engineering (2006) PhD: Trakya University, Computer Engineering (2010) His research focuses on Computer Engineering , Multimedia Security , and Embedded Systems , with a strong emphasis on encryption techniques for MPEG video streams and mobile/web application development. Recent work includes applying interactive mobile applications for pediatric chemotherapy treatment (2022) and optimizing embedded systems as dashboards (2016). Publication trends reveal expertise in video encryption (I-frames, byte alignment, XOR operations), chaotic algorithms for sound data security, and software development for educational and administrative systems. His work bridges theoretical cryptography with practical implementations in multimedia and embedded environments. Supervised Master's Theses: Altuğ Yiğit - Human Insight in Business Processes with Deep Learning Temel Yavuz - Corporate Content-Information Management Systems Murat Emre Yücel - Text Classification with Active Learning Projects: Led initiatives at Trakya University on mobile application development laboratories (2016), campus automation systems (2016), and MPEG audio querying (2008). Participated in KOSGEB's R&D Innovation Project for Dream Cash Register/Barkot Systems (2012).
Salvador Alcaraz Carrasco serves as an Associate Professor in the Department of Computer Engineering at Miguel Hernández University of Elche's School of Engineering. His office is located in the Computer Technical Architecture Laboratory within the Alcudia Building (1st floor), and he maintains active teaching responsibilities across multiple programs. His research centers on the IoT-edge-cloud continuum , with significant contributions to network function virtualization, edge computing orchestration, and vehicular network resource management. His work bridges theoretical protocol design (including formal algebraic specifications) with practical implementations for real-time edge services. Teaching innovations form another critical dimension of his work, particularly in network engineering education and academic tutoring systems. Professor Alcaraz coordinates core networking courses including Computer Networks , Fundamentals of Telecommunications Networks , and Network Protocol Engineering for both Bachelor's and Master's programs. His publication trends reveal a strategic evolution from educational infrastructure (diskless Linux terminals) through protocol specification toward contemporary edge computing challenges, demonstrating sustained engagement with networking technology advancements over two decades. As a member of the IoT-edge-clOud cOnTiNuum research group, he focuses on orchestration and validation frameworks for distributed computing environments. His tutorial sessions (Wednesdays 09:30–14:30) and laboratory instruction emphasize hands-on network design and modeling, particularly through the Tools for Designing and Modeling Networks and Services course in the Telecommunications Engineering Master's program.
Garret Arcoraci is a Senior Lecturer at the School of Information within the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). His role involves teaching advanced courses in systems administration, DevOps, and IT operations. He currently teaches courses such as NSSA-220 Task Automation, NSSA-221 Systems Administration I, NSSA-244 Virtualization, and NSSA-428 DevOps Principles and Practices. His expertise spans Linux systems, scripting languages, configuration management, containerization, and cloud infrastructure. Dr. Arcoraci's teaching focuses on practical skills for modern IT environments, including network virtualization, security protocols, and automation workflows. He emphasizes hands-on learning through lab sections and project-based assignments. His courses cover critical tools and methodologies for enterprise system management, including DNS, DHCP, LDAP, and infrastructure-as-code practices. No scientific awards, grants, or published articles are explicitly mentioned in the provided text. His professional activities are centered on undergraduate and graduate education in information technology disciplines.