جست‌وجوی استاد و پژوهشگر

Manuel de Buenaga Rodríguezمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Text Categorization
• Biomedical Informatics
• +۱۲ مورد دیگر

Dr. Manuel de Buenaga Rodríguez is a Faculty Member in the School of Engineering at Universidad Europea de Madrid, where he leads research in the Department of Artificial Intelligence. His work bridges Natural Language Processing, Biomedical Informatics, and E-Health solutions. PhD in Computer Science from Universidad Complutense de Madrid (1996) Specializes in Text Categorization, Semantic Annotation, and Ontology-based Systems Research Highlights: Pioneered the POESIA open-source web filtering system and contributed to the NAVIga platform for elderly healthcare. His work integrates WordNet, UMLS, and Machine Learning in semantic disambiguation and user modeling. Key Publications Trends (2010-2013): Focus on Biomedical document annotation (BioAnnote) Virtual reality rehabilitation systems Lexical database integration for text classification Concept-based medical/tourism information access Spanish language processing challenges Collaborations: Works with José María Gómez Hidalgo, Simone Marchi, and European research networks like MAVIR. Projects span Madrid Region initiatives and translational medicine tools.

• Operating systems
• Virtualization
• Security
• +۳ مورد دیگر

Dr. Tamás Krausz serves as an Assistant Professor at the Faculty of Informatics, University of Debrecen, Hungary. His research bridges computer systems engineering and advanced materials science, with dual expertise in operating systems/virtualization and polymer composite mechanics. His computer science work focuses on virtualization for educational environments and wireless network performance under encryption protocols. In materials engineering, he conducts experimental and numerical analyses of FDM 3D printed parts, polycarbonate composites, and automotive plastics using impact testing (IZOD/Charpy), thermal aging studies, and strain rate evaluations. This interdisciplinary approach connects systems research with industrial manufacturing applications. Publication trends reveal a strategic evolution: early work (2004-2014) established his systems expertise through virtualization frameworks and wireless security studies, while recent output (2019-2024) demonstrates deep specialization in additive manufacturing and automotive material durability, with Hungarian/Romanian-language publications indicating regional industry collaboration. Scientific Awards: No awards documented in available institutional sources Advising and Grants: No graduate students or research funding details provided in current profile Research Infrastructure: No laboratory facilities or research teams specified in institutional documentation

Aleksandar Kelečمشاهده پروفایل

مدرس ارشد

• Android Security
• Database Systems
• Software Engineering
• +۵ مورد دیگر

Aleksandar Keleč is a Senior Lecturer at the Department of Computing and Informatics, Faculty of Electrical Engineering, University of Banja Luka. He has contributed to research in Android security, database systems, and automated database design tools. Senior Lecturer in Department of Computing and Informatics Specializes in mobile security, database optimization, and software engineering Active in international collaborations through conferences and projects Research Interests: His work focuses on enhancing security and privacy in mobile communications, particularly Android platform vulnerabilities and permissions systems. He has developed tools for database reverse engineering and visualization, and contributed to distributed computing infrastructure monitoring projects like VI-SEEM. His research spans practical applications in software testing automation, pseudorandom number generation analysis, and NoSQL database optimization. Key Article Trends: Recent publications emphasize secure communication protocols, multilingual database design systems, and Android security improvements. Technical work includes performance analysis of SQLite databases, MongoDB full-text search implementations, and testing automation frameworks.

Rishabh Iyerمشاهده پروفایل

استادیار

• Computer Systems
• Performance Analysis and Optimization
• Operating Systems
• +۵ مورد دیگر

Rishabh Iyer is an Assistant Professor in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley. His research bridges computer systems, networking, and formal methods with a focus on performance predictability and reliability. Prior to Berkeley, he completed his PhD at EPFL and undergraduate studies at IIT Bombay. His educational background includes: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL) Bachelor's degree from Indian Institute of Technology Bombay (IIT Bombay) Iyer's research centers on performance interfaces for computer systems – creating succinct abstractions that allow engineers to reason about system performance without understanding implementation details. His work spans three major directions: (1) Extracting performance interfaces from implementations, (2) Designing systems with predictable performance, and (3) Formally verifying performance claims. This research combines operating systems, networking, computer architecture, and formal verification techniques to address performance unpredictability in modern systems. His group develops tools like PIX for network functions, KFlex for kernel extensions, and Software LPN for hardware accelerators. His publications reveal strong focus on performance modeling for network functions, kernel extensions, and hardware accelerators, with recent work expanding into real-time systems and SD-WAN validation. The research consistently targets practical impact, with deployments at companies like Meta and Alibaba. Scientific recognition includes: ACM SIGOPS Dennis M. Ritchie Award Eurosys Roger Needham PhD Award Dimitris N. Chorafas Award Best Paper at VDAT 2019 Iyer actively advises students at UC Berkeley and teaches courses including CS 294-262 (Performance Analysis) and CS 168 (Internet Architecture). Previously at EPFL, he taught Principles of Computer Systems, Software Engineering, and Vector Calculus. His group seeks talented students interested in building reliable, high-performance systems. Current research directions include performance interfaces for distributed applications, next-generation kernel extensions, and formally verified network systems. He leads research within UC Berkeley's systems community and maintains strong connections with EPFL's Dependable Systems Lab where he completed his PhD.

Mohsen Lesaniمشاهده پروفایل

دانشیار

• Reliability and Security of Software Systems
• Concurrent and Distributed Systems
• Secure Replicated Systems
• +۴ مورد دیگر

Mohsen Lesani is an Associate Professor at the Computer Science and Engineering Department of University of California, Santa Cruz . He obtained his PhD from UCLA , MS in Artificial Intelligence from Sharif University of Technology , and BS in Software Engineering from University of Tehran . His research focuses on reliability and security of software systems , particularly concurrent and distributed systems , with recent work on secure replicated systems and distributed machine learning . NSF CAREER Award (2020) DARPA Young Faculty Award (2022) SIGPLAN Research Highlight (2019) Distinguished Paper Award at OOPSLA 2018 Best Paper Award at ISSRE 2015 His recent publications tackle challenges in automated synthesis of distributed protocols , heterogeneous replication , secure blockchain transactions , and verified RDMA-based data types . He advises PhD students Xiao Li , Eric Chan , Javad Saber-Latibari , and Tejas Mane in the Safe and Secure Software (S3) lab . He has taught courses on Distributed Systems , Parallel Programming , and Compiler Design .

Stefan Kuhlinsمشاهده پروفایل

استاد

• Business Informatics
• Information Technology
• E-commerce
• +۶ مورد دیگر

Prof. Dr. Stefan Kuhlins is a Professor of Business Informatics at Heilbronn University's Faculty of Economics. He specializes in Business Engineering Logistics and previously worked at the universities of Mannheim and Regensburg. His research focuses on E-commerce, XML technologies, and enterprise software integration. He also operates as a freelance business information technology specialist. Current: Professor at Heilbronn University (Faculty of Economics) Previous: University of Mannheim, University of Regensburg Specialization: Business Engineering Logistics (formerly Technical Logistics Management) Freelance: E-commerce and software projects Education : Graduate in Business Information Technology Research Interests : His work spans business informatics, information technology, and programming with particular emphasis on database systems, XML standards, and Robotic Process Automation (RPA). He has developed frameworks for enterprise application integration and explored wireless usability metrics through Java software agents. His publications reflect a strong focus on E-commerce systems, XML schema design, and software development methodologies. Publications Trends : His scholarly output from 1993-2018 covers XML technologies, Java applications in enterprise systems, simulation modeling for logistics, and web service integration. The articles demonstrate consistent engagement with software engineering challenges in E-commerce and enterprise contexts. Technical Leadership : Since 2014, he has served as Head of the Internship Office for Business Engineering Logistics (BEL) and Technical Logistics Management (TLM) programs at Heilbronn University. This administrative role complements his technical expertise in systems design. Programming Expertise : With deep knowledge of C++ standard libraries and Java technologies, he has contributed to areas like garbage collection, CORBA optimization, and multithreaded frameworks. His technical work spans from core programming challenges to enterprise-scale integration solutions.

Mira Meziniمشاهده پروفایل

استاد

• Software development paradigms and tools
• Programming systems for reliable distributed software
• Automated software analysis
• +۳ مورد دیگر

Mira Mezini is a Professor of Computer Science at the Technical University of Darmstadt, Germany, leading the Software Technology Lab. She serves on steering committees, program committees, and editorial boards of top-tier conferences and journals. Her affiliations include the National Research Center for Applied Cybersecurity ATHENE and co-directorship of hessian.AI, the Hessian Center for Artificial Intelligence. Her research focuses on programming systems for reliable distributed software and AI, automated software analysis, and foundational code models. She has developed large-scale module concepts for adaptability, extensible programming languages, and intelligent software development environments that leverage web-based resources to generate programming rules and patterns. Specializes in software engineering Expert in programming language design Contribution to cybersecurity and AI Her recent work emphasizes static analysis, distributed systems, and programming language design, with trends in API misuse detection, decentralized applications, and secure local-first programming. The focus spans from foundational type systems to practical tools enhancing software quality and developer productivity. Scientific Awards Two-time IBM Eclipse Innovation Award recipient (2005, 2006) Google Research Award (2017) Horst Görtz IT Security Award (2014) ERC Advanced Grant (2012) ACM Fellow Dahl-Nygaard Prize (2025) She has held leadership roles including Dean of Computer Science at TU Darmstadt (2013-2014) and Vice President positions (2014-2019). Her service extends to international juries, funding panels, and editorial boards. Labs & Teams Leads the Software Technology Lab at TU Darmstadt, driving research in programming paradigms and tools. Co-directs hessian.AI and contributes to the Excellence Cluster 'Reasonable Artificial Intelligence.'

Wen-Chin Chenمشاهده پروفایل

استاد

• Design and Analysis of Algorithms
• Multimedia Systems
• Quantum Algorithms
• +۷ مورد دیگر

Wen-Chin Chen is a Professor at National Taiwan University in the Department of Computer Science and Information Engineering. With a PhD in Computer Science from Brown University (1984), his expertise spans algorithms , multimedia systems , and quantum computing . Previously at GTE Laboratories (1984–1987), he has taught foundational courses such as Algorithms , Mathematical Analysis of Algorithms , and Quantum Algorithms . Education: BS in Mathematics, National Taiwan University (1976) PhD in Computer Science, Brown University (1984) His research integrates design and analysis of algorithms with applications in multimedia synchronization and quantum computing . Publications reflect deep engagement with data structures , combinatorics , and real-time system design , including work on audio-video synchronization models , heap-ordered trees , and genetic algorithm optimization . Recent projects involve quantum algorithms (e.g., Shor's, Grover's) and linear algebra for geometric and matrix operations, indicating ongoing contributions to theoretical computer science and applied mathematics .

Xavier G.L.V. Pouwelsمشاهده پروفایل

استادیار

• Cost-Effectiveness Analysis
• Health Care Economics
• Medical Decision Modeling
• +۶ مورد دیگر

Xavier G.L.V. Pouwels serves as Assistant Professor at the Health Technology & Services Research department within the TechMed Centre at the University of Twente. His academic work bridges health economics, medical technology assessment, and open science initiatives, with particular focus on cardiovascular disease modeling and cost-effectiveness analysis frameworks. His research spans Cost-Effectiveness Analysis , Health Care Economics , and Medical Decision Modeling , with significant contributions to cardiovascular interventions, albuminuria screening programs, and open-source health economic modeling tools. His work demonstrates strong integration of probabilistic analysis methods with clinical applications, particularly in cardiology and stroke prevention. Dr. Pouwels has developed influential open-science resources including the Probabilistic Analysis Check dashBOARD (PACBOARD) and educational materials for R programming in Health Technology Assessment. His publication trends show increasing focus on model validation frameworks, open-source economic modeling, and practical implementation of health technology assessment tools in clinical decision-making. h-index 10 (Scopus) 266 Citations (Scopus) His collaborative work includes significant contributions to ISPOR Special Interest Group reports and multi-institutional studies on disease modeling frameworks. Current activities focus on advancing open science practices within health care technology education and developing reusable disease modeling blueprints through expert consensus building. Dr. Pouwels leads the PACBOARD initiative for systematic validation of health economic models and contributes to open science education through Zenodo-hosted resources on R Markdown and open science principles. His work emphasizes transparency, reproducibility, and practical implementation of economic modeling in healthcare decision-making.

Godmar Backمشاهده پروفایل

دانشیار

• Computer Systems
• Operating Systems
• Programming Languages
• +۵ مورد دیگر

Godmar Back is an Associate Professor in the Department of Computer Science at Virginia Tech's College of Engineering. He holds a Ph.D. in Computer Science from the University of Utah (2002) and specializes in systems research, programming languages, and performance analysis. His work focuses on foundational aspects of operating systems, distributed systems, and cloud computing, with notable contributions to memory management, concurrency, and cybersecurity education. His research explores how hardware and software interact to optimize system performance, including studies on SPEC benchmarking, garbage collection, and undefined behavior in programming languages. He has developed frameworks like CloudBrowser 2.0 for cloud-based applications and the VT-ASOS system for many-core platforms. Back is also active in pedagogy, integrating DevOps practices into undergraduate research and incorporating cybersecurity modules into core curricula through spiral theory-based methods. Key projects include the Pintos instructional operating system kernel, the VirtuOS virtualized OS, and ReplayCache for predictive computations. His work frequently bridges theoretical systems research with practical applications, emphasizing reproducibility and real-world impact. His educational initiatives aim to broaden participation in systems research through high-impact practices and collaborative development environments.

• Systems and Networking
• Machine Learning
• Data Privacy
• +۵ مورد دیگر

Reza Farivar is a Clinical Associate Professor at the University of Illinois at Urbana-Champaign, affiliated with the Siebel School of Computing and Data Science. He holds a BS in Electrical Engineering from Tehran Polytechnic University, an MS in Computer Engineering from Sharif University of Technology, and a PhD in Electrical and Computer Engineering from UIUC. His research focuses on Systems and Networking, with a strong emphasis on machine learning applications, data privacy, cybersecurity, and cloud computing. He has taught courses such as Cloud Computing Applications, Cloud Capstone, and Data Mining Capstone. Dr. Farivar's work spans innovative areas including synthetic data generation, encryption techniques, authentication systems, and automated interview processes. He has contributed to projects like texture warping-based encryption, CAPTCHA distortion using GANs, and secure multi-party computation for credit scoring. His publications often address challenges in data security, user privacy, and efficient system design. While no specific awards or grants are mentioned, his extensive list of patents highlights contributions to technologies like secure authentication, document deformation correction, and personalized content generation. His research integrates theoretical frameworks with practical applications, addressing modern challenges in computing systems and data science.

• Computer Science Education
• Computer Systems
• Object-Oriented Programming
• +۵ مورد دیگر

Mark A. Holliday is a Professor of Computer Science at Western Carolina University (WCU), where he has served since 2004. He holds a Ph.D. in Computer Science from the University of Wisconsin–Madison (1986) and has extensive experience in academia, including roles as Interim Department Head (2007–2009) and Visiting Research Scientist at institutions like the University of Portsmouth (UK) and the University of Toronto. His primary affiliation is with the Department of Mathematics and Computer Science at WCU. Education Background: Ph.D. in Computer Science, University of Wisconsin–Madison (1986) Master's in Computer Science, University of Wisconsin–Madison (1982) B.A. in Mathematics and Economics, University of Virginia (1978) Research Interests: Holliday focuses on enhancing computer science education, particularly in teaching methodologies for programming concepts (e.g., memory diagrams for object-oriented programming), computer systems, and networking. His work includes developing educational tools like interactive animations for network concepts and memory diagram assessments. He also explores performance analysis of parallel architectures and distributed computing. Prior Research Areas: Included grid computing, web services, memory reference traces in parallel systems, and shared memory multiprocessors. His recent projects include the National Storm Surge Database and applications for public access to environmental data. Advising & Grants: While no specific students are listed, Holliday has led curriculum development initiatives and collaborated on projects funded by institutions like the National Oceanic and Atmospheric Administration (NOAA). He has served on the ABET Computing Accreditation Commission since 2023, contributing to accreditation standards. Labs/Teams: His work involves interdisciplinary collaboration, including contributions to the Distributed Systems Group (University of Portsmouth) and the development of the Storm Surge Viewer application.

David Kopecمشاهده پروفایل

دانشیار

• Computer Science Education
• Mobile App Development
• Open Source Software
• +۲ مورد دیگر

David Kopec is an Associate Professor and Co-Program Director of the Computer Science program at Champlain College’s Division of Information Technology & Sciences. He holds an AB in Economics and an MS in Computer Science from Dartmouth College, along with an Executive MBA from Quantic School of Business & Technology. His expertise spans Mobile App Development, Open Source Software, and Computer Science Education. Dr. Kopec authored the Classic Computer Science Problems book series (in Swift, Python, Java) and Dart for Absolute Beginners . He contributes to open-source projects like SwiftGraph and SwiftPriorityQueue. His research emphasizes practical algorithm implementation and pedagogical approaches to programming education. Previously, he worked as a startup consultant and co-founder focusing on iOS development while maintaining part-time adjunct roles. He hosts the Kopec Explains Software podcast and actively engages in academic discussions through publications and conferences.

• Microelectronics
• Embedded Systems
• IoT Security
• +۵ مورد دیگر

David Guerrero Martos is an Associate Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on microelectronics, embedded systems, and hardware security solutions. He leads the 'Digital Research and Development' group and has participated in numerous national and international grants, including the 'USECHIP: Chair in Microelectronics' project (TSI-069100-2023-001) and the 'Easy-to-deploy intelligent network for independent living for our seniors (RIING)' initiative (IPT-2012-0645-300000). His academic contributions include pioneering work on FPGA-based IoT security (e.g., E-LUKS), high-precision timing systems, and low-power digital circuit design. He has published extensively in journals like IEEE Access and Electronics , and his research spans topics such as trigonometric function computation, hardware bootloaders (NanoBoot), and SoC integration frameworks (evercodeML). Guerrero Martos has over 20 years of experience in both academic and applied research, with notable contributions to teaching methodologies in electronics. He holds patents for innovative digital circuits and has collaborated on open-source hardware projects, emphasizing practical applications of embedded systems.

• Advanced Data Analytics
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Rafael Palacios Hielscher is a Full Professor at the Department of Computer Science, ICAI School of Engineering, and a Researcher at the Institute for Research in Technology (IIT) at Universidad Pontificia Comillas. He holds a Mechanical Engineering degree from ICAI (1990) and a PhD in Incipient Failure Detection (1998). His research focuses on Advanced Data Analytics, Artificial Intelligence, Cybersecurity, Telemedicine, and Aviation Safety. He has led academic programs in Telecommunications Engineering and Computer Science at Comillas-ICAI (2011–2024) and has held visiting professorships at MIT in Cybersecurity, Energy, and Aeronautics (2001–2025). Education: Mechanical Engineering (1990), ICAI School of Engineering, Universidad Pontificia Comillas PhD in Incipient Failure Detection (1998), Universidad Pontificia Comillas Research Interests: Advanced Data Analytics applied to anomaly detection, image processing, and GIS Cybersecurity for vehicles, wearables, and critical infrastructure Telemedicine and aviation safety systems Machine learning for healthcare and industrial applications Publications: His recent work emphasizes cybersecurity vulnerabilities in automotive systems, telemedicine resource optimization, and energy sector planning. Over 60 journal articles and 60 conference papers demonstrate expertise in multidisciplinary applications of AI and data science. Awards: Recipient of the 3rd Technology & Innovation Award for the Master’s in Cybersecurity (2019) and recognized in Actualidad Económica ’s 100 Best Ideas (2009). Advising & Grants: Supervised 4 PhD theses and led over 60 projects, including electrification strategies for Bolivia, Rwanda, and Pakistan. Collaborates with MIT, World Bank, and EU Horizon initiatives. Labs/Teams: Active in ICAI’s Cybersecurity Lab and MIT’s CAMS initiative, focusing on OT cybersecurity integration and smart grid resilience.