جست‌وجوی استاد و پژوهشگر

• Statistics
• Sports science and exercise
• Ecological applications
• +۷ مورد دیگر

Paul Wu is an Associate Professor in the School of Mathematical Sciences at Queensland University of Technology (QUT), Faculty of Science, where he also serves as an industry research fellow in the strategic partnership between the Centre for Data Science (CDS) and AIS/QAS. He leads the sports systems domain within CDS and applies statistical and machine learning models to complex systems across sports, marine science, and defence sectors. PhD, Queensland University of Technology Master of Engineering Science (Computer and Comm Engineering), Queensland University of Technology Bachelor of Engineering (Electrical and Computer Engineering), Queensland University of Technology His research focuses on Bayesian statistics, dynamic Bayesian networks, state space modelling, and simulation techniques. He works closely with domain experts to solve real-world problems in sports performance, ecological resilience, and human systems. His interdisciplinary work spans sports science , marine ecology , and defence applications . Paul’s recent publications demonstrate a strong trajectory in predictive analytics for elite sports and ecosystem modelling, particularly using Bayesian frameworks. His work on swimming performance prediction has informed national training strategies and contributed to competitive success. He has also advanced methods in clustering, model adaptation, and psychosocial risk assessment. His scientific contributions have been recognized through impactful collaborations with elite sports organizations including the Australian Institute of Sport, Swimming Australia, and the West Coast Eagles. Testimonials highlight his role in transforming data analytics in sports injury recovery and performance optimization. Applied Bayesian models in elite sports decision-making Developed predictive tools for marine ecosystem resilience Collaborated on over 30 industry and government projects Supervises research in complex sports data analytics Paul leads a dynamic research environment focused on translating statistical innovation into practical impact across diverse domains.

Santiago Berrezuetaمشاهده پروفایل

مدرس

• Virtual Reality
• Augmented Reality
• eXtended Reality
• +۷ مورد دیگر

Santiago Berrezueta is a Lecturer at the School of Computation, Information and Technology within Technical University of Munich (TUM). He actively contributes to research in Virtual Reality , Artificial Intelligence , and Robotic Assistance , with a focus on applications in Education and Healthcare . 2025 : 10 publications in VR, robotics, and AI ethics. 2024 : 4 co-authored studies on ChatGPT in ADHD therapy and collaborative learning. His research intersects Interactive Learning and Computer Vision , particularly in ADHD treatment , Language disorder detection , and VR-based education . He supervises Bachelor’s/Master’s theses on topics like gaze-based interaction, collaborative VR workflows, and AI-driven therapeutic tools. 2025: Excellent Paper Award at International Symposium on Educational Technology (ISET 2025) 2024: Best Presentation Award at International Conference in Intelligent Environments (IE 2024) He leads courses on Software Engineering and Programming Fundamentals at TUM’s Heilbronn campus. His work also explores IoT applications and ethical AI in vulnerable populations.

Christian Fibichمشاهده پروفایل

پژوهشگر

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

Rüdiger Kapitzaمشاهده پروفایل

استاد

• Systems Software
• Trusted Execution Environments
• Byzantine Fault Tolerance
• +۵ مورد دیگر

Prof. Dr.-Ing. Rüdiger Kapitza serves as a Professor and Chair of Computer Science 4 (Systems Software) at Friedrich Alexander University Erlangen-Nuremberg (FAU). His extensive research portfolio spans trusted execution environments, Byzantine fault tolerance, blockchain technology, and secure systems. Kapitza actively contributes to the academic community through program committee roles for major conferences including OSDI, Middleware, EuroSys, and DSN. His research interests focus on creating secure, reliable systems through the integration of hardware security features with distributed systems. Kapitza investigates how trusted computing can enhance system security while maintaining performance, particularly for critical applications. His work bridges theoretical foundations with practical implementations across domains including cloud infrastructure, edge computing, and transportation systems. Analysis of his recent publications reveals consistent innovation in trusted execution environments, distributed consensus protocols, and secure virtualization. His research demonstrates a clear trajectory from early work on adaptive services to current focus on hardware-assisted security solutions. Key themes include making distributed systems more robust through trusted components, optimizing energy efficiency in heterogeneous systems, and developing practical security solutions for real-world applications. Prof. Kapitza's standing in the systems research community is evidenced by his service on program committees for top-tier conferences. His work has been published in prestigious venues including OSDI, EuroSys, Middleware, and DSN, reflecting significant impact in both academic and industrial contexts. He leads the Systems Software research group at FAU, mentoring students and collaborating with researchers worldwide. The group addresses fundamental challenges in systems security, reliability, and performance, with applications ranging from drone data recording to railway systems and secure cloud services. His team develops practical tools and frameworks that advance the state of the art in systems research.

Stefanie Jasserمشاهده پروفایل

پژوهشگر

• Security by Design in Software Engineering
• Security in Software Architectures
• Architectural Constraints for Security and Conformance Checking
• +۳ مورد دیگر

Stefanie Jasser, MSc, is a researcher in the Software Engineering and Construction Methods (SWK) group at the University of Hamburg, Department of Informatics. Her work focuses on integrating security into software architecture design and evolution, with a particular emphasis on modeling security constraints and ensuring conformance. Her research interests include: Security by Design in Software Engineering Architectural Constraints for Security Secure Software Evolution Mitigating Code Vulnerabilities Her publications highlight trends in architectural security rules, legacy system protection, and constraint-based approaches to software development. She also contributes to teaching roles in software engineering and architecture at both University of Hamburg and NORDAKADEMIE.

Toby Murrayمشاهده پروفایل

استاد

• Cybersecurity
• Formal Methods
• Secure Systems Engineering
• +۵ مورد دیگر

Toby Murray is a Professor in the School of Computing and Information Systems at the University of Melbourne, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. His work bridges formal methods, cybersecurity, and practical system security, with significant contributions to verified security and vulnerability detection. Murray's research focuses on building highly secure computing systems cost-effectively, with expertise in formal verification, information flow security, and vulnerability detection. His current research projects include Verisimilar (Verified, Secure Machine Learning), EDEFuzz (Detecting excessive data exposure in web applications), COVERN (Proving information flow security of concurrent programs), and Time Protection (Proving timing channel freedom for seL4). His work combines theoretical rigor with practical implementation, resulting in multiple open-source tools including SecC, Legion, and Underflow. Murray's recent publications demonstrate a consistent focus on verified security properties across diverse domains, from neural networks to concurrent systems. His work often bridges the gap between formal methods and practical security concerns, with increasing attention to machine learning security and policy implications of technical security measures. His publications span top venues in security, formal methods, and software engineering. Distinguished Paper Award at ICSE 2024 for EDEFuzz work on detecting excessive data exposure in web applications Extensive media commentary on cybersecurity issues including CrowdStrike outage analysis and social media regulation Regular contributions to The Conversation and Pursuit on cybersecurity policy matters Murray has advised numerous PhD students to completion, including Lianglu Pan (EDEFuzz), Zhiyuan Zhang, Mo Zhang, and Renlord Yang. He currently supervises multiple PhD students working on security verification, machine learning security, and web application security. His service includes being Program Chair for CSF'25, Associate Editor for IEEE Security & Privacy and ACM TOPS, and membership in IFIP's WG 1.7 and WG 2.3. His research group has developed multiple significant software tools including SecC (Verified Security for Concurrent C Programs), Legion (Principled Automatic Test Case Generation), and Underflow (Compositional Vulnerability Detection for C Programs), all available under open source licenses. Murray's work often involves discovering and reporting bugs in security analysis tools during his research, demonstrating the practical impact of his verification approaches.

Emek Demirمشاهده پروفایل

دانشیار

• Computational Biology
• Cancer Bioinformatics
• Pathway Informatics
• +۵ مورد دیگر

Emek Demir serves as an Associate Professor in the Department of Molecular and Medical Genetics at Oregon Health & Science University's School of Medicine, where he directs the Computational Biology program at the Brenden-Colson Center for Pancreatic Care. His academic journey includes a Ph.D. in Computer Engineering from Bilkent University (2005) under Ugur Dogrusoz and postdoctoral training with Chris Sander at Memorial Sloan Kettering Cancer Center's Computational Biology Center. Dr. Demir's research centers on Pathway Informatics, integrating detailed biological pathway information with omic data to solve cancer biology problems. His work spans pathway curation, visualization, NLP, data standardization, machine learning, and mechanistic simulation. He pioneered the BioPAX pathway data standard and developed Pathway Commons—the largest process-level pathway database with over 2 million interactions and 400,000 detailed human reactions. His publication record demonstrates consistent innovation in computational oncology, with recent work focusing on transcription factor activity prediction, spatial tumor mapping, and causal network analysis. Key contributions include algorithms for detecting altered cancer sub-networks, identifying transcription factor modulators, and inferring active networks from proteomic data. His research bridges computational methods with clinical applications in leukemia, prostate cancer, and glioblastoma. Recipient of leadership roles in major NIH-funded initiatives Principal developer of Pathway Commons and BioPAX standards Extensive collaborations with Memorial Sloan Kettering and OHSU clinical departments Dr. Demir directs a computational biology program focused on translating pathway knowledge into clinical insights for pancreatic cancer, with ongoing projects in spatial omics, multi-dimensional tumor atlases, and antiviral nanomaterial applications.

A. Continellaمشاهده پروفایل

دانشیار

• Systems Security
• Malware Detection
• Privacy Disclosures
• +۵ مورد دیگر

A. Continella is an Associate Professor in the Semantics, Cybersecurity, and Services group at the University of Twente, affiliated with the International Secure Systems Lab (iSecLab). Previously, they served as a Postdoctoral Researcher at UC Santa Barbara’s Computer Science Department and earned a Ph.D. cum laude from Politecnico di Milano. Their research focuses on systems security, particularly analyzing software for malware detection, privacy leaks, and vulnerability identification. They emphasize open science and actively participate in Capture The Flag (CTF) competitions, including DEFCON Finals with Shellphish. Education: Ph.D. cum laude in Computer Science and Engineering, Politecnico di Milano, Italy Research exchanges at UC Santa Barbara and University of Sydney’s School of Computer Science Research Interests: Security of daily-use software Ransomware defense mechanisms Obfuscated privacy leaks in Android apps Program analysis for firmware vulnerabilities Awards: Ph.D. cum laude distinction Labs & Collaborations: International Secure Systems Lab (iSecLab) SecLab at UC Santa Barbara

• Computer Security
• Program Analysis
• Machine Learning
• +۴ مورد دیگر

Mu Zhang is an Assistant Professor at the Kahlert School of Computing, University of Utah. His research focuses on computer security, particularly developing tools using program analysis, machine learning, and data mining to address security issues in Web3, cyber-physical systems, and mobile systems. Previously, he was a Postdoc at Cornell University and a Research Staff Member at NEC Labs America. Education and Background: Postdoc, Cornell University Research Staff Member, NEC Labs America Research Interests: His work emphasizes automated detection and mitigation of security vulnerabilities, including smart contract flaws, industrial control system threats, and malware analysis. He explores innovative solutions like ICSTracker for intrusion backtracking and DEEPVMUNPROTECT for VM-protected Android malware recovery. Recent efforts span blockchain formal verification, Wasm runtime testing, and cross-domain threat inference. Recent Contributions: Notable publications include papers on provenance analysis for industrial control systems (DSN'25), storage collision mitigation in smart contracts (USENIX Sec'25), and automated generation of security-centric smart contract descriptions (ISSTA'23, distinguished paper). Funded projects include NSF grants for AI security education and Cisco Research for smart contract semantics recovery. Awards: His team received the ACM SIGSOFT Distinguished Paper Award (2023) and CCS 2022 Best Paper Honorable Mention. Advising and Grants: Supervises PhD/MSc students like Yu, Wanjing, and Taiji. Active in proposal funding (e.g., Idaho National Lab for industrial control systems, Stellar Foundation for smart contract analysis). Served on TPCs for NDSS, CCS, and ISSTA. Labs/Teams: Leads a research group at University of Utah focusing on secure software systems and automated security tool development.

• 5G/6G mobile networks
• Radio access networks
• Automation systems and autonomy
• +۱۹ مورد دیگر

Bruno Dzogovic is an Assistant Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, specifically within the Department of Computer Science. His research focuses on 5G/6G networks, cybersecurity, cloud computing, and software engineering. 5G/6G mobile networks Cloud computing and virtualization Cyber defense systems Wireless communication Industrial networks Biomedical Wireless Sensor Networks His recent work explores secure network slicing, container technologies, and applications of 5G in healthcare and elderly care systems. He is an active member of the Autonomous Systems and Networks (ASN) research group, contributing to advancements in digital forensics and vulnerability assessment for modern communication systems.

Maziar Raeinمشاهده پروفایل

دانشیار

• Graphic Design
• Typography
• Visual and Spatial Ability
• +۵ مورد دیگر

Maziar Raein is an Associate Professor at the Oslo National Academy of the Arts (KHiO) , specializing in Graphic Design and Methodology. He holds a BA (Hons) in Fine Art and an MA in Independent Film from Central Saint Martins (CSM). Before moving to Oslo, he taught on the BA Graphics course at CSM, leading the Context programme, and founded Codex Design, a brand identity agency that worked with companies like Lastminute.com. Research Focus : Visual and spatial ability, reflective practice, typographic archives, and audience engagement in music performance. Leadership Roles : Director of KHiO's Typographic Archive and Senior Advisor in Research at CEMPE (Centre of Excellence in Music Performance Education). His publications and projects explore interdisciplinary methodologies, asemic writing, and craftsmanship. Recent work includes the Radical Interpretations research program reinterpreting musical works for percussion. Scientific Contributions : Co-developed the landmark Writing-PAD project with Julia Lockheart. Recognized by HEFCE-FDTL for advancing creative writing models in art & design.

• Software Performance Engineering
• Microservice Architectures
• Cyber-Physical Systems
• +۳ مورد دیگر

Catia Trubiani is a faculty member at the Gran Sasso Science Institute in L'Aquila, Italy, specializing in software performance engineering, architectural analysis, and cyber-physical systems. Her work bridges theoretical modeling with practical applications, focusing on performance antipatterns, uncertainty quantification, and DevOps practices. In research , she explores performance modeling of microservices, federated learning systems, and cyber-physical systems, with a strong emphasis on architectural decision-making under uncertainty. Her recent articles analyze performance regression testing, aging detection in networks, and anti-pattern correlation in distributed systems, reflecting her interest in robust, scalable software solutions. She collaborates extensively with researchers like Raffaela Mirandola , Alberto Avritzer , and Riccardo Pinciroli , contributing to tools and frameworks such as PLUS (Performance Learning for Uncertainty of Software) and VisArch (Visualisation of Performance-Based Architectural Refactorings). Her work has been published in journals including IEEE Transactions on Software Engineering and Future Generation Computer Systems , as well as conferences like ICSE, ECSA, and ICPE.

• Precision Irrigation
• Irrigation Scheduling
• Artificial Intelligence in Agriculture
• +۵ مورد دیگر

Alejandro Andrade-Rodriguez is an Assistant Professor at the University of Nevada, Reno in the Department of Agriculture, Veterinary & Rangeland Science . His work focuses on optimizing water use in arid and semi-arid agricultural systems through engineering innovations and data-driven approaches. Education: B.S., Universidad Autonoma Chapingo (2007) M.S., University of Arizona (2011) Ph.D., University of Arizona (2013) His research spans: Precision irrigation techniques AI and optimization methods for water management Development of Decision Support Systems (DSS) for farmers Climate resilience in snowmelt-dependent agriculture Wireless sensor networks for irrigation monitoring Machine learning applications in crop stress prediction Recent publications highlight trends in: Integration of climate data into irrigation risk models Machine learning-driven crop yield forecasting Improving cold-weather reliability of solar-powered sensors Soil texture impacts on irrigation efficiency Email: andradea@unr.edu

• Verification of Secure Systems
• Software Security
• Web Security
• +۵ مورد دیگر

Pedro Adão is an Assistant Professor at the Department of Computer Science and Engineering (DEI) of the Instituto Superior Técnico (IST) , University of Lisbon . He is affiliated with the SQIG - Security and Quantum Information Group at the Institute of Telecommunications , formerly part of CLC - Logic and Computation Centre . His work bridges formal methods and computational cryptography , focusing on security protocols , software security , and quantum information security . PhD in Mathematics (2006, IST) with thesis "Formal Methods for the Analysis of Security Protocols" Graduated in Applied Mathematics and Computation (2002, IST) with thesis "Electronic Money" His research interests include verification of secure systems, composition of secure systems, mathematical foundations of cryptography, and physical/day-life security. His publications span topics like firewall configuration tools , smart contract verification , quantitative protocol analysis , and computationally sound symbolic cryptography . He has collaborated with institutions such as the University of Pennsylvania, Microsoft Research Cambridge, and INRIA-Microsoft Research Paris. Key teaching contributions include courses in Introduction to Algorithms and Data Structures , Computational Models in Security , and Software Security . He is a member of the SQIG research group and has organized the SQIG Information Security Seminar . Past teaching roles include lecturing at the Catholic University of Portugal and the Air Force Academy.

• Thermal Processing
• Pyrometallurgy
• Waste Management
• +۳ مورد دیگر

Harald Raupenstrauch serves as Professor and Chair of the Department of Thermal Processing Technology, maintaining an active research profile with over 340 publications and theses. His work bridges fundamental thermal engineering with industrial applications in metallurgy and waste management systems. His research spans thermal processing, pyrometallurgy, waste management, and recycling technologies. Key focus areas include landfill fire prevention, slag treatment for metal recovery, lithium-ion battery recycling, and risk communication in environmental disasters. He develops computational models for metallurgical systems while addressing sustainability challenges in industrial processes. Recent publications (2024-2025) demonstrate a clear trajectory toward sustainable resource recovery, with emphasis on phosphide formation in slag treatment, battery recycling via the InduRed reactor, and thermo-mechanical modeling of converters. His work consistently integrates environmental risk mitigation with metallurgical innovation, particularly in Balkan waste management contexts. No scientific awards are documented in the provided materials. Dr. Raupenstrauch has supervised 146 academic works, indicating substantial mentorship activity. His international collaborations—evidenced by activities at institutions like the Technical University of Crete—and high publication output suggest robust grant funding for thermal processing research despite specific grants not being detailed. As Department Chair, he leads research on the InduRed reactor for battery recycling and thermo-mechanical modeling of metallurgical systems. His team maintains active international partnerships, including recent work with Serbian researchers on landfill fire mitigation and ongoing projects at Greek academic institutions.