جست‌وجوی استاد و پژوهشگر

Franz Kollandمشاهده پروفایل

استاد

• Gerontology
• Health Care
• Sociology
• +۶ مورد دیگر

Univ.-Prof. Dr. Franz Kolland is a leading sociologist and aging researcher at Karl Landsteiner Private University for Health Sciences, where he heads the Competence Center for Gerontology and Health Research . Previously, he served as scientific director of the Ludwig Boltzmann Institute for Social Gerontology and Life Course Research (2000-2005) and held academic positions at the University of Vienna since 1997. Academic education: Doctorate in Sociology (1985), Mag.phil in Sociology (1979) Key roles: Program director (2012-2019), editorial board member (2011-), advisory roles (2007-) His research focuses on gerontology, aging societies, social determinants of health, and digital education for seniors. Recent work includes analyzing AI-supported health technologies for older adults and co-creating person-centered integrated care ecosystems. Selected scientific awards : Austrian State Prize for Adult Education (2010) Austrian Cross of Honour for Science and Art (2016) Grand Decoration of Honour in Gold for Lower Austria (2019) Current projects include CLARA (centenarian studies), BUILD (care ecosystems), and Care4Caregivers (2023-2025). He holds leadership roles in academic commissions and serves as editor for multiple gerontological journals.

• Concurrency and Parallelism
• Real-time Systems
• Distributed Systems
• +۶ مورد دیگر

Lukasz (Luke) Ziarek serves as Associate Dean for Academic Affairs and Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His work bridges theoretical computer science with practical systems engineering, focusing on real-time capabilities in distributed environments and safety-critical applications. His educational foundation includes a PhD in Computer Science from Purdue University (2011) and a BS in Computer Science from the University of Chicago (2003). Ziarek's research centers on formal verification of distributed protocols , real-time systems engineering , and mobile/embedded computing . He pioneers session type theory for IoT security, develops real-time variants of Android (RTDroid) and Standard ML (RTML), and investigates UAV software reliability. His work consistently addresses the tension between theoretical guarantees and practical system constraints in concurrency, timing, and security. Recent publications (2022-2025) reveal three dominant trajectories: formal methods for rate-based session types in IoT protocols, performance analysis of visual SLAM systems for robotics, and security vulnerabilities in embedded platforms like ARM TrustZone. These threads converge on ensuring correctness and timeliness in resource-constrained distributed systems. His scientific accolades include the IEEE Region One Technological Innovation Award (2023) and NSF CAREER Award (2018), reflecting dual excellence in research and education. IEEE Region One Technological Innovation (Academic) Award, 2023 President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring, 2022 NSF CAREER Award, 2018 SEAS Early Career Teacher of the Year, 2016 Halstead Award for Outstanding Research in Software Engineering, 2009 Intel Fellowship, 2008 GAANN Fellowship, 2004 Ziarek directs significant research initiatives including a $900K NSF UAV infrastructure project (as PI) and a $1.7M MRI grant for connected vehicle testing. His funding portfolio spans real-time systems, compiler design, and pocket-scale data management, emphasizing collaborative, interdisciplinary approaches to software reliability. CRI:CI-New UAV Infrastructure ($900K, PI 31%) NSF CAREER: Real-time Object-Oriented Systems ($500K, PI 100%) MRI: iCAVE2 Vehicle Testing ($1.7M, co-PI 14%) III: Just-in-Time Data Structures ($499K, co-PI 50%) II-EN: MLton Compiler Research ($606K, PI 63%) He leads an open-source ecosystem including RTDroid (real-time Android), Multi-MLton (parallel SML compiler), and BlueSeal (Android security analyzer), fostering community-driven advances in systems software.

• Structural Engineering
• Timber Construction
• Circular Construction
• +۹ مورد دیگر

Sara Reichenbach is a researcher and Deputy Institute Director at the Institute of Building Construction, Timber Construction and Circular Construction, Department of Landscape, Water and Infrastructure, University of Natural Resources and Life Sciences, Vienna (BOKU). She holds a Dr.techn. and Dipl.-Ing. in civil engineering from TU Wien and has held postdoctoral positions at both TU Wien and BOKU. Her work bridges structural engineering, sustainable construction, and digital fabrication. Research Interests: Her research focuses on resource-efficient building construction, particularly in concrete and timber systems. She investigates topology optimization, life cycle analysis (LCA), additive manufacturing of bio-based materials, FRP reinforcement, and the development of reusable, circular building components. Her work aims to reduce environmental impacts while enhancing structural performance and economic viability in prefabricated construction. Publication Trends: Her recent publications reflect a strong trend toward sustainable and digital construction, emphasizing 3D printing of recyclable walls (3DP BIOWALLS), topology-optimized concrete elements, and the use of renewable and FRP materials. The integration of automation, robotics, and computational design is a recurring theme, aligning with Industry 4.0 principles in construction. Scientific Awards: FSV-Preis für Diplomarbeit (2013): For her thesis on load testing of existing prestressed concrete bridge girders to assess shear capacity. Advising and Grants: She supervises master's theses on topics such as life cycle assessment of 3DP Biowalls and automated production strategies. She is actively involved in research projects funded by FFG and EU sources, including the 'Additive manufacturing of fully-recyclable wall systems made from renewable materials' project led by Benjamin Kromoser. She also serves as a reviewer for journals like Applied Sciences and Scientific Reports , and as an expert in the ÖBV working group on non-metallic reinforcement. Labs and Teams: She is part of the research team at the Institute of Building Construction, Timber Construction and Circular Construction at BOKU, collaborating closely with Prof. Benjamin Kromoser. The team operates in a multidisciplinary environment focusing on innovative construction technologies, with access to advanced digital fabrication and structural testing facilities.

Kathrin Cresswellمشاهده پروفایل

استاد

• Health Informatics
• Implementation Science
• Digital Health
• +۳ مورد دیگر

Kathrin Cresswell is a Professor of Digital Innovations in Health and Care at the University of Edinburgh's Usher Institute , within the College of Medicine and Veterinary Medicine. She is a social scientist with expertise in formative evaluations of digital health technologies, focusing on implementation science, patient safety, and sociotechnical systems. She has consulted for the World Health Organization, Harvard Medical School, and NHS England, and served as co-chair of the International Medical Informatics Association (IMIA) Evaluation Working Groups. Education : BSc in Psychology, MSc in Health Psychology, and PhD in Medical Informatics. Her research explores health information technology (e.g., electronic health records, AI, robotics), antimicrobial stewardship, cloud computing, and equitable digital transformation. She has led evaluations of the NHS Digital Academy, Global Digital Exemplar Programme, and electronic prescribing systems, emphasizing stakeholder alignment and organizational change. Her work has secured £56 million in grants and over 140 peer-reviewed publications. Recent research trends include AI-driven decision support systems, digital maturity assessments, and cloud technology in healthcare. She advocates for theory-informed evaluations to mitigate bias and improve resilience in health IT implementations. Scientific Awards : Yvonne Carter Award for Outstanding New Researcher; Fellow of the International Academy of Health Sciences Informatics; Member of the Royal Society of Edinburgh Young Academy of Scotland. She contributes to national and international policy through written evidence submissions to parliamentary committees and leadership in digital health curricula like Scotland's digital health leadership program. Her methodology combines qualitative, mixed-methods, and systematic reviews to address real-world healthcare challenges.

• Artificial Intelligence
• Teaching
• Machine Learning
• +۳ مورد دیگر

Alyson Hernalesteen is a researcher at the University of Namur , affiliated with the Namur Digital Institute and Centre de Recherche Information, Droit et Societe . Her work focuses on Artificial Intelligence and Machine Learning within educational contexts, particularly for K-12 audiences . Research topics: AI education, critical reflections on technology, digital society Key projects: Role-playing games for cybersecurity & AI education, interdisciplinary approaches to AI literacy Her publications highlight trends in game-based learning and critical pedagogy for children, emphasizing ethical engagement with intelligent technologies. Collaborations with colleagues like Collard and Henry reveal a focus on practical implementations and policy discussions. She actively participates in international conferences such as the CRIFPE Colloquium and Media Education Summitt , contributing to debates on digital education reform and technology equity.

Michael Vahsمشاهده پروفایل

استاد

• Sustainable maritime technology
• Wind propulsion systems
• Zero-emission ship technologies
• +۷ مورد دیگر

Prof. Capt. Michael Vahs is a Professor in the Shipping and Maritime Sciences Department at Emden/Leer University of Applied Sciences, where he serves as Scientific Co-leader of the Fraunhofer Sustainable Maritime Mobility working group alongside Prof. Dr.-Ing. Jann Strybny. His work focuses on Technical Ship Management with specialization in zero-emission technology for ship propulsion and auxiliary operations, sailing technology for cargo and passenger ships, and automation for sailing systems. Prof. Vahs's research interests center on sustainable maritime mobility, with particular expertise in wind propulsion systems, Flettner rotors, and zero-emission technologies for commercial shipping. His work integrates maritime hydrodynamics and aerodynamics with automation and systems engineering to develop hybrid model concepts that combine powerful modeling and simulation with measurement technology. He has extensive experience in the application of crossover and upscaling effects between sail technology and conventional wind energy systems. Analysis of his recent publications reveals a consistent focus on wind-assisted ship propulsion, with particular attention to Flettner rotor technology, ship maneuverability with wind propulsion systems, and the integration of intelligent control systems. His research spans both theoretical modeling and practical sea trials, demonstrating a strong commitment to translating research into real-world applications for sustainable shipping. Prof. Vahs leads multiple significant R&D projects including the RASANT project (2023-2026) on Zero Emission Hybrid Sail Cargo Ships, the FlettnerFLEET project (2023-2026), and the Transitioning to Low Carbon Sea Transport project (2017-2024) with the Republic of the Marshall Islands. His work has been supported by various funding bodies including BMU International Climate Initiative, EU Interreg programs, and BMWI WIPANO. He is actively involved with the Maritime Technical Center in Leer, which forms the heart of the Fraunhofer Sustainable Maritime Mobility working group. This facility, combined with the unique testing infrastructure at other IWES locations, provides comprehensive validation options for full-scale applications of sustainable maritime technologies.

Harald Koschمشاهده پروفایل

استاد

• Distributed Information Systems
• Big Data
• eHumanities
• +۳ مورد دیگر

Professor Harald Kosch serves as Vice President for Academic Infrastructure and IT at the University of Passau. Since 2006, he holds the Chair of Distributed Information Systems within the Faculty of Computer Science and Mathematics. He co-leads the tri-national IRIXYS research center (University of Passau, INSA Lyon, Università di Milano) and directs the German-French DFH/UFA Doctoral College. Current academic leadership roles Specialization in distributed systems and big data International research networks in digital innovation Recipient of French academic distinction His team develops tools for distributed information processing in multimedia and data-intensive applications, with applications in eHumanities and emergency logistics. Research emphasizes cross-border collaboration and technology transfer between academia and industry. Scientific distinctions include: Chevalier de l'Ordre des Palmes Académiques 2022 DFH Dissertation Prize (for Dr. Benjamin Planche) Active in EU digital strategy, Bavarian sustainability initiatives, and Franco-Bavarian AI competitions.

Mathias Pelkaمشاهده پروفایل

استاد

• Intelligent Automation Technology
• Smart Factory
• Industry 4.0
• +۶ مورد دیگر

Mathias Pelka is a Professor at the Department of Electrical Engineering and Computer Science at Technische Hochschule Lübeck. His work focuses on intelligent automation technology, smart factory concepts, and Industry 4.0 applications. Education in Informatik (University of Lübeck), Applied Information Technology (Lübeck University of Applied Sciences), and Electrical Engineering (Milwaukee School of Engineering) His research spans localization algorithms, LiDAR-based object detection, neural networks for robotics, and underwater optical distance estimation. Key technologies include sensor fusion, recursive Bayesian filters, and time-based ranging methods. Recent publications highlight trends in autonomous vehicle sensing, indoor positioning systems, and unified location architecture frameworks. His work integrates machine learning, signal processing, and wireless communication for smart infrastructure solutions. Prior roles include software development and Scrum Master positions at Drägerwerk AG & Co. KGaA (2020-2021), software engineering at Ibeo Automotive Systems GmbH (2018-2020), and research associate positions at TH Lübeck (2013-2018).

• Innovation Management
• Product Development
• Engineering Design
• +۴ مورد دیگر

Francesca Montagna is an Associate Professor at the Department of Management and Production Engineering (DIGEP) , Politecnico di Torino . She serves as Director of the University Strategies Study Center and holds leadership roles in the Politecnico University Centre for Social Affairs. Her research focuses on Innovation Management , Product Development , and Decision-Making Processes in engineering design. Scientific disciplinary sector: IIND-04/A - Manufacturing Technologies and Systems ERC sectors: Industrial design, Management, Decision-Making, Technological Change SDG Goal 9: Industry, Innovation, and Infrastructure Her recent work explores data-driven design , digital transformation , and operations management in manufacturing. She has supervised 8 PhD students, including Graziana Blandino and Teresa Monti , and contributed to projects like NO-STRESS Manufacturing and AIGEDA . Awards include Elsevier's Top 5 Most Highly Cited Papers in Design Studies (2014-2016) . Francesca collaborates with entities such as EIT-Manufacturing and Legacoop Piemonte , and actively participates in international conferences like the International Conference on Engineering Design (ICED) . She is a reviewer for journals including Journal of Engineering Design and Research in Engineering Design .

Maria Wirzbergerمشاهده پروفایل

استاد

• Cognitive Psychology
• Human-Computer Interaction
• Instructional Design
• +۱۲ مورد دیگر

Maria Wirzberger is a tenure-track professor at the University of Stuttgart, where she leads the Department of Teaching and Learning with Intelligent Systems and serves as spokesperson for the Stuttgart Research Focus "Interchange Forum for Reflecting on Intelligent Systems" (SRF IRIS). She is also co-director of the Artificial Intelligence Software Academy (AISA) and part of the Cyber Valley ecosystem, Europe’s largest AI research consortium. Her interdisciplinary research bridges cognitive psychology, human-computer interaction, instructional design, and artificial intelligence. Research Interests: Modeling and simulation of human cognition using cognitive and connectionist approaches Advanced statistical modeling (multilevel models, time series, structural equation models) Distraction, interruption, and attention control in applied settings Multimodal cognitive load assessment via performance, behavior, and physiology Design of adaptive, assistive, and responsible intelligent systems Individual differences in HCI (age, neurodiversity, technology affinity) Trust, bias, and critical reflection in human-AI interaction Her recent publications focus on cognitive load in learning, system delays in virtual training, interruption modeling using ACT-R, and adaptive feedback mechanisms. The work spans experimental, computational, and applied domains, increasingly extending to digital health, industrial robotics, and single-pilot operations. She applies lab, field, and online studies combined with user-centered software development. Scientific Awards and Grants: Erasmus+ teaching mobility grant (2018) InProTUC travel grant (2016) Research stay grant at University of Groningen "Deutschlandstipendium" scholarship (2013/14) Maria Wirzberger has supervised several theses and has been involved in grant-funded research such as the DFG Research Training Group "CrossWorlds". She actively reviews for top journals and conferences and holds leadership roles in academic service. She has organized symposia and workshops and is a member of numerous professional societies including the Cognitive Science Society, ACM, and APA. Labs and Teams: She leads a research team at the University of Stuttgart focused on teaching and learning with intelligent systems, embedded within the interdisciplinary Cyber Valley network. Her group develops and evaluates user-adaptive technologies using predictive analytics and cognitive science principles.

Jutta Weberمشاهده پروفایل

استاد

• Technology and media theory
• Technoscience Studies
• Science and Technology Studies
• +۹ مورد دیگر

Prof. Dr. Jutta Weber is a Professor of Media Sociology at the Institute of Media Studies within the Faculty of Arts and Humanities at the University of Paderborn, a position she has held since October 2011. She maintains an active research and teaching profile with a focus on the intersection of technology, media, and society. Her research interests span Technology and Media Theory, Technoscience Studies, Cultural Media Studies, Surveillance, Military & Critical Security Studies, and Feminist/Gender Studies. Her work critically examines how technology shapes social relations, power structures, and everyday life, with particular attention to ethical implications of emerging technologies. Analysis of her recent publications shows a strong focus on the ethical dimensions of artificial intelligence, particularly in military contexts, alongside examinations of digital platforms, surveillance technologies, and epistemological questions in technoscience. Her work often bridges philosophical inquiry with sociological analysis of technological systems. Prof. Weber teaches a diverse range of courses including Media and Technology Theories, Media and War, and specialized seminars on platform wars, surveillance, and AI ethics. Her teaching reflects her interdisciplinary approach that combines media sociology with science and technology studies. She has collaborated with researchers such as J. Hälterlein on projects related to autonomous weapons systems and maintains an active research agenda examining the societal implications of emerging technologies.

Claus Danielsonمشاهده پروفایل

استادیار

• Control Theory
• Optimization
• Model Predictive Control
• +۵ مورد دیگر

Claus Danielson serves as Assistant Professor in the Department of Mechanical Engineering at the University of New Mexico, specializing in constrained planning, control, and optimization for safety-critical systems. His work bridges theoretical control theory with practical applications across robotics, autonomous vehicles, and energy infrastructure. His academic credentials include: PhD in Mechanical Engineering from University of California, Berkeley MS in Mechanical Engineering from Rensselaer Polytechnic Institute BS in Mechanical Engineering from University of Washington Danielson's research centers on Model Predictive Control (MPC), motion planning, and reference governors. He develops algorithms exploiting structural properties in large-scale systems to ensure safety and robustness. His lab creates provably safe motion planning solutions using invariant set theory and non-convex optimization, with applications spanning autonomous vehicles, spacecraft, HVAC, and energy storage networks. Current projects emphasize data-driven approaches for complex constrained systems. Analysis of his recent publications reveals dominant trends in data-driven invariant set methods (2023-2025), robust adaptive MPC for aerospace applications, and safety-guaranteed motion planning. His work increasingly integrates machine learning with control theory, particularly in randomized path planning and extremum seeking control for energy systems like concentrated solar power and HVAC networks. No scientific awards are documented in the provided materials. Danielson teaches Robot Engineering (ME-482/582) and Introduction to Feedback Control (ME-380/ECE-345), mentoring students in non-convex optimization, dynamic system modeling, and control algorithm design. His research collaborations include the UNM-AFRL Agile Manufacturing Laboratory and New Mexico EPSCoR Smart Grid Center, though specific grant details remain undisclosed. He directs the Model Predictive Control Lab, which focuses on developing motion planning algorithms for robotics and autonomous vehicles. The lab also advances control solutions for photovoltaics, concentrated solar, and smart grid technologies, emphasizing scalable algorithms for large-scale energy systems with multi-timescale dynamics.

Steve Counsellمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Software Metrics
• +۶ مورد دیگر

Professor Steve Counsell is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. Holding a PhD from Birkbeck, University of London (2002), he previously served as a Lecturer at Birkbeck and brings industry development experience to his academic role. As a Fellow of the British Computer Society, his career bridges theoretical research and practical software engineering applications. PhD in Software Engineering from Birkbeck, University of London (2002) Former Lecturer at Birkbeck Department of Computer Science Industry software development experience prior to PhD Professor Counsell's research centers on empirical software engineering with particular focus on software metrics, refactoring techniques, code smells, fault analysis, and agile methodology implementation. His work consistently emphasizes industry collaboration, addressing real-world challenges faced by developers and project managers. A significant portion of his research investigates the relationship between software structure metrics and maintainability, with extensive studies on object-oriented systems evolution and web application engineering. Analysis of his recent publication trends reveals a sustained focus on empirical validation of software engineering practices, with increasing emphasis on industrial case studies and reproducibility of results. His work spans both theoretical metric development and practical application in commercial environments, particularly examining how structural code properties correlate with fault-proneness and maintenance effort. Fellow of the British Computer Society Professor Counsell actively supervises doctoral research, currently guiding three PhD students while having successfully completed nine PhD supervisions since 2004, all within software engineering and information systems domains. His research has attracted significant funding including EPSRC grants EP/E055141/1 (as Co-investigator studying program slicing and faults), EP/H019685/1 (with Moorfields Eye Hospital on glaucoma data analysis), and current project EP/L011751/1 exploring fault prediction techniques in collaboration with industry partners. His research activities are coordinated through the CIDA research group at Brunel, where he maintains strong collaborations with industry partners to ensure practical relevance of his empirical studies. Current projects focus on analyzing industrial fault data to determine which prediction techniques provide the most accurate explanations of software faults in real-world systems.

Ioannis Lambadarisمشاهده پروفایل

استاد

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

Stefan Rassمشاهده پروفایل

استاد

• Security and Risk Management
• Decision and Game Theory for Security
• Security Infrastructures
• +۹ مورد دیگر

Stefan Rass is a full Professor at Alpen-Adria-Universität Klagenfurt (AAU), with additional affiliation at Johannes Kepler University Linz (JKU). He holds the academic title Univ.-Prof. (Universitätsprofessor) and possesses advanced degrees including PD (Privatdozent), Dipl.-Ing. (Diplom-Ingenieur), and Dr. (Doctor). His research spans multiple institutions and projects, with a focus on security and risk management through game theory applications. Professor Rass's research interests center around Security and Risk Management, Decision and Game Theory for Security, Security Infrastructures (including Key Distribution and Management, PKI, and Authentication), Unconditional and network security, Applied Quantum Cryptography, and Complexity Theory and Statistics in Security. His work bridges theoretical computer science with practical security applications, particularly in quantum networks and critical infrastructure protection. His recent publications demonstrate a strong trend toward interdisciplinary security research, combining game theory with quantum cryptography, robotics security, and AI-powered penetration testing. The articles reveal increasing focus on practical applications of theoretical security concepts, with notable work in quantum networks, deniable encryption techniques, robotics security benchmarking, and AI-assisted security testing. His research shows consistent evolution from theoretical foundations toward real-world implementation challenges. Professor Rass leads multiple ongoing research projects including Machine Learning for Risk Management, Safe and Secure Robotic Systems Engineering (SEEROSE), Simulation and analysis of critical network infrastructures in cities (ODYSSEUS), and security for cyber-physical value networks Exploiting smaRt Grid systems (synERGY). These projects, primarily funded by FFG (Austrian Research Promotion Agency), demonstrate his leadership in securing critical infrastructure and developing next-generation security frameworks.