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Antonio CarzanigaView profile

Professor

• Distributed Systems
• Software Engineering
• Content-Based Networking
• +7 more

Antonio Carzaniga is a Full Professor and founding member of the Faculty of Informatics at Università della Svizzera italiana (USI), where he has been active since 2004. Previously, he served as an Assistant Research Professor at the University of Colorado at Boulder from 2001 to 2007. He holds a Ph.D. in Computer Science and a Bachelor’s degree in Electronic Engineering from Politecnico di Milano. Full Professor, Faculty of Informatics, Università della Svizzera italiana (2004–Present) Assistant Research Professor, Department of Computer Science, University of Colorado at Boulder (2001–2007) Ph.D. in Computer Science, Politecnico di Milano Bachelor’s in Electronic Engineering, Politecnico di Milano His research spans distributed systems and software engineering, with a strong focus on content-based addressing networks, publish/subscribe systems, middleware, software fault tolerance, and verification. He has pioneered work in information-centric networking and developed the Siena project, a scalable publish/subscribe service. His recent work extends into programmable networks, GPU-accelerated matching, and performance annotations for cloud systems. The 15 most recent publications highlight a consistent trajectory in scalable, high-performance networking and adaptive software systems. Key themes include content-based communication, packet subscriptions, information-centric networking, and leveraging redundancy for fault tolerance and testing. His work bridges theoretical foundations with practical implementations, often involving system-level software and performance evaluation. Best Paper Award, ACM SIGCOMM Workshop on Information-Centric Networking (ICN'13) Carzaniga has advised multiple graduate students, including Michele Papalini, Koorosh Khazaei, and Daniele Rogora, and has collaborated on funded research projects in distributed systems and networking. He has contributed to software development through projects like the Siena Fast Forwarding engine and the Synthetic Workload Generator. His service includes organizing workshops and contributing to major conferences in software engineering and computer systems. He leads research initiatives such as Siena and Content-Based Networking, focusing on scalable, decentralized communication infrastructures. His lab has developed key tools for evaluating publish/subscribe performance and implementing high-speed forwarding algorithms.

Jan Georg FriesingerView profile

Associate Professor

• Sociology of Mental Health
• Health Geography
• Qualitative Social Research
• +7 more

Jan Georg Friesinger is an Associate Professor in the Department of Psychosocial Health at the University of Agder, Norway. He is actively engaged in teaching sociology, health geography, and qualitative social research, and serves as the study programme coordinator for the Master's programme in Psychosocial Health. His research focuses on the sociological, spatial, and material dimensions of mental health and illness, particularly in community and supported housing contexts. He explores how place attachment, built environments, and everyday materialities influence recovery, inclusion, and well-being among individuals with mental health challenges. His recent publications demonstrate a strong trend in interdisciplinary research at the intersection of public health, sociology, and environmental psychology. He frequently investigates how social and spatial factors—such as discrimination, financial strain, housing design, and nature access—impact mental health outcomes, using qualitative and mixed-method approaches. His work contributes to both academic discourse and public policy discussions on mental health and housing. Associations between perceived discrimination and health Place attachment and immigrant integration Materiality in supported housing Fire safety regulations and autonomy Human-animal bonds in recovery Therapeutic landscapes Jan Georg Friesinger has received no explicitly mentioned scientific awards in the provided text. However, he is actively involved in knowledge dissemination through public media and policy engagement, contributing to outlets like forskning.no , Agderposten , and Morgenbladet . He has also contributed to educational development, including curriculum design for specialized master’s programs in mental health and substance use. He is a key member of the research group Society, Space, Psychosocial Health (SSPH), which fosters interdisciplinary collaboration on the spatial and social aspects of mental well-being. His work emphasizes participatory and critical perspectives, challenging institutional norms and advocating for more inclusive and human-centered mental health environments.

Peyman KabiriView profile

Senior Lecturer

• Network Security
• Cybersecurity
• Intrusion Detection and Response
• +6 more

Peyman Kabiri is a Senior Lecturer in Cyber Security at the De Montfort University School of Computer Science and Informatics , Faculty of Computing, Engineering and Media. His research spans interdisciplinary domains including Network and Cybersecurity (Intrusion Detection/Response) Remote Sensing and Acoustic Emission Analysis Many-Valued Logic and Robotics Sound Analysis and Music Information Retrieval Peyman's academic contributions focus on adaptive error compensation in mechanical systems and security frameworks for cyber-physical environments. His recent publications highlight innovations in Monocular SLAM algorithms for indoor navigation Wavelet packet transform for image processing Signal strength-based wireless intrusion detection Trust modeling in virtualized systems As an educator, he teaches Practical Host & Network Security (PG) Secure Coding (UG) Endpoint Security (UG) with extensive experience in microprocessor design, robotics, and network security modules. Professional memberships include BCS (2024) IEEE (1997-2002, 2012) ACM (2010-2013) SPIE (2005) ISMVIP (2010-2019) ISAV (2017)

• Advanced Casting Science and Technologies
• Computational Fluid Dynamics
• Computing, Simulation & Modelling
• +9 more

Dr. Laszlo Konozsy is a Reader (Associate Professor) in Fluid Mechanics and Computational Engineering at the Centre for Computational Engineering Sciences, Cranfield University. He serves as Course Director for the MSc in Aerospace Computational Engineering, a top 5 UK program. His expertise spans computational fluid dynamics (CFD), turbulence modelling, and multiphysics simulations with industrial applications in aerospace, automotive, and energy systems. PhD in Engineering Sciences, University of Miskolc (2004) PhD in Computational Fluid Dynamics, Cranfield University (2006) His research focuses on anisotropic turbulence modelling , hybrid LES/RANS methods , micro/nanofluidics , and multiphysics simulations for aerospace and industrial processes. He pioneered acoustic streaming models for space applications and developed high-order numerical methods for incompressible flows. Dr. Konozsy has authored two Springer books on turbulence modelling, which received 72,000+ views on LinkedIn. He has over 100 publications, including 40+ peer-reviewed journals, and supervised 10+ PhD students. His work involves collaborations with the European Space Agency , Reaction Engines Ltd. , and Pangea Aerospace . Best Lecturer (Student Led Teaching Award) 2014/2015 Best Research Supervisor (Student Led Teaching Award) 2015/2016 9 awards for supervisory excellence Dr. Konozsy teaches 2500+ academic hours across institutions, emphasizing computational engineering and turbulence theory. He has established new educational frameworks and mentored award-winning students, including recipients of the Lord Kings Norton Medal and Vice-Chancellor's Prize .

Jasmin BlanchetteView profile

Professor

• Theorem Proving
• Formal Verification
• Automated Reasoning
• +4 more

Prof. Dr. Jasmin Blanchette is a faculty member at the Ludwig Maximilian University of Munich, holding the chair in Theoretical Computer Science and Theorem Proving . She serves as Dean of Studies for Computer Science and collaborates with the VeriDis group at Loria, Nancy. Her research focuses on combining automatic and interactive theorem proving to enhance proof automation for critical systems and mathematical research. Key Research Areas: Higher-order logic, formal verification, superposition calculus, proof assistants (Isabelle/HOL, Lean), definitional mechanisms for (co)datatypes. Recent Articles address advanced topics in higher-order reasoning, SMT integration, and algorithm verification. Scientific Recognition: Co-awarded best papers at FroCoS 2023 and CADE 2023. Supervises a team of postdocs and PhD students working on projects like Matryoshka and Nekoka. Her tools (Sledgehammer, Nitpick) are widely used in formal methods.

• Programming Languages
• Compiler Construction
• Parallel Computing
• +7 more

Wayne Kelly is an Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He has over 25 years of academic experience and serves as the Academic Lead for Teaching and Learning and Course Coordinator for the Bachelor of Information Technology degree. PhD in Computer Science, University of Maryland, College Park, 1996 BSc (Hons) in Computer Science, University of Queensland, 1989 His research expertise lies in Programming Languages, Compiler Construction, and Parallel Computing, with significant contributions to High Performance Computing, Big Data, and Bioinformatics. His work has led to collaborations with Microsoft Research and over $2 million in external funding. His recent publications reflect a strong trend in parallel and distributed systems, embedded computing, bioinformatics data analysis, and remote sensing. Key themes include optimization of computational systems, memory management, and scalable data processing. Wayne Kelly has made impactful contributions to both teaching and research, guiding numerous postgraduate students and leading curriculum development in information technology. Optimizing I/O cost and managing memory for bioinformatics A communication model for streaming applications on MPSoC Ruby.NET: a compiler for the Common Language Infrastructure He is actively engaged in real-world technology development, including a project with a vision-impaired student to improve public transportation accessibility, currently trialed by transport authorities in Australia and the US.

Piotr PoniatowskiView profile

Assistant Professor

• Criminal Law
• Criminology
• Comparative Legal Studies
• +4 more

Piotr Poniatowski is a Polish academic specializing in Criminal Law and Criminology , currently serving as an Assistant Professor at the Department of Criminal Law and Criminology , Maria Curie-Skłodowska University . His work focuses on custodial escape offenses, road traffic noise regulation, data protection violations, comparative criminal law studies, and organized crime analysis. Primary research areas: Criminal Law, Criminology, Comparative Legal Studies Key publication trends: Custodial escape liability (2023), Road traffic noise legal frameworks (2024), Ukrainian-Polish homicide law comparisons (2023), Data protection enforcement (2022) Poniatowski's academic contributions include monographs on prison escape offenses and chapters in collective works addressing topics like criminal intent in theft , domestic peace violations , and minors' criminal liability . He actively engages in legislative analysis, particularly regarding environmental protections and personal data statutes. The researcher maintains international collaborations, with publications in Czech and Ukrainian legal journals.

• Finance
• Banking
• Risk Management
• +6 more

Claudio Cacciamani serves as a Professor at the Department of Economic and Business Sciences, University of Parma, teaching core finance and risk management courses for both undergraduate ( Economics and Management ) and graduate ( Finance and Risk Management , Business Administration ) programs from academic year 2014/2015 through 2025/2026. His current appointments include Business Planning (2025/2026), Corporate Banking and Finance (2015/2016-2025/2026), and specialized courses in insurance, real estate finance, and investment banking across multiple programs. Research interests span regulatory finance, banking operations, and technological disruption in financial services, with primary focus on anti-money laundering compliance, AI integration in real estate, environmental governance in banking, and public concession valuation. His work bridges theoretical finance with practical regulatory frameworks, particularly examining Italian legislative updates like the 2023 Public Contracts Code. Recent publications (2023-2025) demonstrate a clear trend toward emerging regulatory challenges – analyzing high-risk jurisdictions for money laundering (2025), e-waste governance in banking (2024), and public contract valuation – alongside technology adoption in real estate finance (2024). The interdisciplinary approach connects finance with environmental policy and AI innovation. Scientific Awards No awards or fellowships were documented in the source material Advising and Grants While teaching appointments include student supervision activities, the text specifies no advisees, PhD students, or research grants. His role as teacher tutor for Finance and Risk Management students (2018/2019-2023/2024) confirms mentorship responsibilities without named advisees. Labs and Teams Cacciamani leads the Insurance Intermediation Lab – teaching both standard and advanced versions since 2014/2015 – which serves as his primary research/teaching team under the Finance and Risk Management program. The lab focuses on insurance sector operations and regulatory compliance training.

Florian SteurerView profile

Tutor

• Network Architecture
• Internet Traffic Analysis
• Fault-Tolerant Systems
• +3 more

Florian Steurer is a PhD student at the Max Planck Institute for Informatics, affiliated with the Internet Architecture department. He has served as a Tutor in the Hot Topics in Data Networks Seminar during multiple terms (2022–2025). Education: Master of Computer Science (Julius-Maximilians-Universität Würzburg, 2016–2018), Bachelor of Computer Science (DHBW Stuttgart, 2013–2016). Professional background includes software development roles at codeunity GmbH (2017–2018, 2018–2022) and prior industry experience at HOMAG GmbH (2013–2016) and Student at HOMAG GmbH (2013–2016). His research focuses on network architecture, fault-tolerant and scalable systems, DNS, and internet traffic analysis. Recent publications examine DNS tree exploration biases, CrowdStrike outage impacts, and dynamic DNS root server measurement. Key scientific achievements include a Best Paper Award at PAM 2025 and selection for the Internet Society Pulse Research Fellowship. His work bridges theoretical network analysis with practical infrastructure resilience.

Julien DEVEMYView profile

Researcher

• Computational Chemistry
• Scientific Computing
• Linux Systems Administration
• +3 more

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.

• Neuroimaging
• Reproducible Research
• Computational Neuroscience
• +3 more

Dorota Jarecka is a Research Scientist at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology (MIT). Her work focuses on developing open-source software tools and frameworks to enhance reproducibility and scalability in neuroimaging research. She is a core contributor to initiatives like BIDS Apps, NiMARE, and Pydra, which aim to standardize and streamline neuroimaging data analysis workflows. Her research interests span neuroinformatics, reproducible research practices, computational neuroscience, and the development of scalable data management solutions. She actively contributes to consortia such as the NMIND consortium and the BRAIN Initiative Cell Census Network, promoting collaborative approaches to neuroimaging challenges. Jarecka’s publications highlight her expertise in large-scale neuroimaging analysis, meta-analysis techniques, and the integration of open science tools like DataLad and Datalad. She emphasizes the importance of human-in-the-loop systems and agentic frameworks (e.g., STRUCTSENSE) to improve structured information extraction in scientific workflows. Her work has advanced reproducibility through ontologies and provenance tracking (e.g., NIDM Experiment) and has addressed technical challenges such as software variability across operating systems. She is also involved in educational efforts, including Software Carpentry workshops on version control with Git. Jarecka’s contributions bridge computational methods with neuroscience, fostering collaboration between researchers, developers, and institutions to tackle complex neuroimaging and atmospheric science problems.

George KousiourisView profile

Associate Professor

• Cloud Computing
• IoT Platforms
• Performance Engineering
• +5 more

George Kousiouris is an Associate Professor at the Department of Informatics and Telematics , Harokopio University of Athens . He holds a Ph.D. in Cloud Computing from the National Technical University of Athens (2012) and a Dipl. Eng. in Electrical and Computer Engineering from the University of Patras (2005). His research focuses on Cloud Platforms , Serverless Computing (FaaS) , IoT Infrastructure , and Performance Engineering . He has led major EU-funded projects such as H2020 PHYSICS (lead architect), BigDataStack , and CloudPerfect , contributing to cloud service benchmarking, FaaS frameworks, and edge-cloud collaboration. His work emphasizes practical applications in healthcare, smart agriculture, and urban network analysis. Over 70 publications highlight his expertise in cloud resource optimization , service-level agreements , and data-driven infrastructure management . His recent work explores sustainable computing , human-AI collaboration , and conversational AI for MLOps . Key Projects: PHYSICS, BigDataStack, CloudPerfect, SLALOM, COSMOS Research Highlights: FaaS performance benchmarking, IoT event processing, hybrid-cloud workflows Awards/Grants: Multiple EU H2020 and FP7 project leadership roles He advises on cloud migration methodologies (e.g., ARTIST framework) and contributes to regulatory compliance frameworks like GDPR via semantic ontologies.

Micheal AxelsenView profile

Senior Lecturer

• Information Systems Audit
• IT Governance
• Cybersecurity Governance
• +3 more

Dr. Micheal Axelsen is a Senior Lecturer in Business Information Systems at the UQ Business School, University of Queensland, and serves as Deputy Director (Teaching & Learning) for Commerce Programs. He holds a PhD and is a Fellow of CPA Australia, with memberships in multiple professional organizations including ISACA and the Association for Information Systems. Affiliations: UQ Business School, School of Business, Faculty of Business, Economics and Law Education: PhD (UQ), Master's (UQ), Bachelor of Commerce (Honours) (UQ) His research focuses on Information Systems Audit , IT Governance , and Cybersecurity Governance , with notable contributions in decision aids' impact on professional knowledge and experiential IT education. He teaches in Master's programs like Business Analytics and Commerce, integrating industry insights from 15+ years as an IS consultant and Director. Publications span journals like Business and Information Systems Engineering and International Journal of Accounting Information Systems , addressing topics from low-code development to healthcare data governance. He has advised on cybersecurity strategies for government and industry, including a 2020 submission to Australia's Cyber and Critical Technology Engagement Strategy. Awards: CPA Australia Fellowship Grants/Industry Work: Seed funding projects, IS consulting for public/private sectors Current research explores cybersecurity accountability models and pedagogical innovations in information systems education.

Lakshmi PrayagaView profile

Associate Professor

• Educational Technology
• Instructional Technology
• Robotics in Education
• +7 more

Dr. Lakshmi Prayaga is an Associate Professor in the Department of Cybersecurity and Information Technology at the University of West Florida, part of the Hal Marcus College of Science and Engineering. She is based in Building 4, Room 437, and can be reached at lprayaga@uwf.edu . Education: Ed.D. in Instructional Technology, University of West Florida M.S. in Software Engineering, University of West Florida MBA, Alabama A&M University M.A. in Philosophy, Bangalore University, India B.A. in Liberal Arts, Osmania University, India Dr. Prayaga's research focuses on the integration of advanced technologies—such as robotics, augmented reality, 3D printing, data visualization, game programming, and computer-mediated simulations—into educational and workforce training contexts. Her work aims to enhance comprehension, develop cognitive skills, and make technology accessible through innovative platforms like tele-robotics. She emphasizes practical, hands-on learning experiences that bridge theory and application in instructional and applied technologies. Her recent publications reflect a strong trend in using interactive and immersive technologies to transform education and training. Topics include game-based learning, web development pedagogy, data visualization in social media, and the use of 3D printing and robotics in curricula. These works span disciplines such as computer science education, cognitive development, workforce technology, and instructional design, demonstrating a multidisciplinary approach to educational innovation. Scientific Awards: No awards listed in the provided text. Dr. Prayaga is actively involved in curriculum development and teaching graduate-level courses such as Information Engineering Technology, Exploring the Internet, Web Server Technologies, and Game Programming 2 (3D Game Studio), most of which she designed. She has co-authored books on robotics, Android app development, game programming, and web technologies. While specific grant funding and advisees are not mentioned, her extensive publication record and course leadership indicate a strong commitment to academic mentorship and research leadership. She contributes to advancing accessible and inclusive educational technologies, particularly through her tele-robotics platform, which reduces infrastructure costs and broadens access to robotics education. Her interdisciplinary work connects computer science, education, and cognitive science, positioning her as a key contributor to technology-enhanced learning environments.

Charlie FarringtonView profile

Visiting Assistant Professor

• Sociolinguistics
• African American Language
• Corpus Linguistics
• +5 more

Charlie Farrington serves as a Visiting Assistant Professor in the Department of English at Virginia Tech's College of Liberal Arts and Human Sciences, where he focuses on sociolinguistic variation and historical change in American English dialects. Based in Shanks Hall, Blacksburg, VA, his work centers on African American Language (AAL) through corpus development and sociophonetic analysis. His research program investigates segmental variation in AAL, preservation of linguistic audio data, and historical influences like the Great Migration on language change. As co-developer of the Corpus of Regional African American Language (CORAAL) and maintainer of the Online Resources for African American Language (ORAAL) project, he bridges theoretical linguistics with practical applications in language documentation and digital archiving. Analysis of his 15 most recent publications (2020-2025) reveals concentrated work on CORAAL's design, management, and linguistic insights. Key themes include regional variation in AAL, sociophonetic analysis of vowel/consonant systems, and methodological advances in corpus-based sociolinguistics, with studies examining historical influences and urban dynamics across locations like Detroit, Atlanta, and Washington DC. No scientific awards, fellowships, or major prizes were documented in the provided information. Farrington collaborates on the CORAAL project, a multi-institutional effort to collect and disseminate African American Language data. He contributes to ORAAL, an online platform providing tools and resources for AAL researchers, involving partnerships with linguists, archivists, and community stakeholders to ensure ethical data practices and broad accessibility.