جستجوی استاد راهنمای دانشگاهی

• Occupational Safety
• Labor Protection
• Psychology of Safety Behavior
• +۵ مورد دیگر

Oleksandr Viktorovych Korobko is a Senior Lecturer at the Department of Occupational Safety and Environmental Protection within the Faculty of Construction, Architecture and Design at Zaporizhzhia Polytechnic National University. With a career spanning since 1975, he has established himself as an expert in occupational safety, labor protection, and the psychological aspects of safety behavior. His extensive experience includes serving as a technical inspector of the trade union committee at the university. Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar (1981), Radio Electronics and Telecommunications Specialty: Design and production of radio equipment Qualification: Engineer-designer-technologist of radio equipment Dr. Korobko's research interests focus on occupational safety, labor protection, psychology of safety behavior, metal matrix composite materials, and environmental protection. His work bridges engineering and human factors, examining how psychological elements influence workplace safety. Recent research has particularly emphasized safety in educational institutions during wartime conditions and the psycho-emotional states of students in conflict zones. He has also investigated metal composite materials, exploring ways to enhance their characteristics for high-temperature applications. His publication record shows a clear trend toward integrating psychological and engineering approaches to safety. Recent works (2023-2025) demonstrate increasing attention to wartime safety challenges, emotional burnout among youth, and the psychological qualities that motivate safe behavior. His research spans both theoretical frameworks (structural-logical safety training schemes) and practical applications (predicting safety and durability of gas turbine components). Chest Sign 'For Impeccable Work' III Degree of Zaporizhzhia Polytechnic National University Honorary Certificate of Zaporizhzhia Regional Organization of Trade Unions of Education and Science Workers of Ukraine (2022) Honorary Certificate of Zaporizhzhia Regional Council of Trade Unions (2020, 2008, 2006) Honorary Certificate of Zaporizhzhia Polytechnic National University (2019) Dr. Korobko actively contributes to academic governance as a member of the trade union organization and serves as a technical inspector of the trade union committee. His teaching focuses on safety of life for specialists with basics of labor protection and occupational safety in industry. He has participated in numerous professional development activities, including webinars on academic integrity and educational leadership forums. His research collaborations extend to international conferences, particularly with Polish academic institutions.

David Wrightمشاهده پروفایل

پژوهشگر ارشد

• Software Reliability
• System Dependability
• Bayesian Belief Networks
• +۳ مورد دیگر

David Wright is a Research Fellow at City, University of London, with a career spanning over three decades in software reliability and system dependability. He obtained his BSc in Mathematics (1981) and PhD in Computer Science (2001) from institutions within the University of London consortium. Education: BSc Mathematics, University of London (1981) PhD Computer Science, City University (2001) Employment: Research Fellow, City, University of London (1986–present) Research Assistant, Royal Holloway University of London (1983–1986) Scientific Officer, Defence Operational Analysis Establishment (1981–1983) His research focuses on reliability modeling of safety-critical systems, particularly through Bayesian Belief Networks, quasi-perfection concepts in software, and conservative claims for system dependability. His work addresses challenges in transferring empirical reliability information between systems, quantifying expert judgments, and establishing confidence bounds for fault-tolerant architectures. Key publication trends include 15 papers (1991–2018) emphasizing software diversity, probabilistic risk assessment, and mathematical frameworks for system safety. Themes span nuclear reactor protection systems, aviation software, and critical infrastructure interdependencies, with methodological contributions to Bayesian analysis and reliability growth modeling.

Andreas Zischgمشاهده پروفایل

استاد

• Flood Risk Assessment
• Climate Change Adaptation
• Extreme Hydrological Events
• +۳ مورد دیگر

Prof. Dr. Andreas Zischg is a leading academic at the Institute of Geography , University of Bern, serving as Group Leader for Human-Environment-Systems Modelling and Co-Director of the Mobiliar Lab for Natural Risks. With a focus on flood risk assessment and climate change adaptation , his research integrates coupled component models and GIS-based geospatial analysis to address extreme hydrological events and their societal impacts. Key Research Areas: Flood risk dynamics, climate resilience, surface water flood forecasting, and spatiotemporal vulnerability analysis Leadership Roles: Mobiliar Lab for Natural Risks (Co-Director), Human-Environment-Systems Modelling Group (Leader) Recent publications highlight his work on probabilistic flood warnings , property-level adaptation measures , and human mobility during disasters . His 2025 work explores surrogate models for national flood forecasting, while 2024 studies analyze road network disruptions, climate change storylines, and systematic flood risk monitoring frameworks. The Mobiliar Lab collaborations demonstrate his commitment to transdisciplinary research , combining hydrometeorological data with social science methodologies. His team develops visualization tools for risk communication and storyline approaches to climate change impact analysis, particularly in alpine environments. Current methodological innovations include deep-learning damage prediction and mobile phone data analysis for disaster response. These projects emphasize both technical model development and practical implementation for Swiss emergency management and policy frameworks.

Jianfeng Xueمشاهده پروفایل

دانشیار

• Reliability analysis of soil structures
• Behaviour of reinforced soil structure
• Landfill waste behaviour
• +۶ مورد دیگر

Associate Professor Jianfeng Xue is a faculty member in the School of Engineering and Technology at the University of New South Wales (UNSW) Canberra. He holds the position of Associate Professor in Geotechnical Engineering and is a Fellow member and Chartered Professional Engineer accredited by the Institution of Engineers Australia. With extensive experience in both academia and industry, Professor Xue previously worked at Coffey Geotechnics (Perth), Tongji University, Monash University, and Federation University Australia before joining UNSW Canberra. Professor Xue completed his PhD at University College Dublin in 2007. His educational background has provided a strong foundation for his research and teaching career in geotechnical engineering. Professor Xue's research spans multiple critical areas in geotechnical engineering with a focus on practical applications. His work addresses fundamental challenges in soil mechanics, foundation engineering, and sustainable infrastructure development. He has made significant contributions to understanding soil-structure interaction, reinforced soil systems, and the behavior of landfill waste materials. His research integrates advanced computational methods with experimental approaches to solve complex geotechnical problems. Recent publications demonstrate his continued leadership in areas such as geogrid-reinforced pavements, sustainable construction materials, and numerical modeling of soil behavior under various loading conditions. Chartered Professional Engineer, Institution of Engineers Australia (2014-present) Fellow, Institution of Engineers Australia (2019) Committee member, Institution of Engineers Australia, ACT Civil/Structural Branch (2017-present) Member, International Society for Soil Mechanics and Geotechnical Engineering Secretary, Australian Geomechanics Society, ACT group (2019) Professor Xue actively supervises PhD students including CHAI Fei (focusing on pile capacity estimation using CPT database), XIAO Li (improving pavement performance with geogrid reinforced asphalt), Ziheng Wang (cyclic behavior of reinforced soils), and others. His research portfolio includes significant grants from the Australian Research Council and industry partners, totaling over $1.5 million in the past five years. His laboratory is well-equipped with modern geotechnical testing facilities including monotonic and cyclic triaxial cells, unsaturated triaxial equipment, and large direct shear boxes. He also has access to advanced computational tools including Abaqus, ANSYS, FLAC, Plaxis, and discrete element modeling software.

Xiaohui Guمشاهده پروفایل

استاد

• Computer Systems
• Autonomic Computing
• Cloud Computing
• +۲ مورد دیگر

Xiaohui (Helen) Gu is a Professor in the Department of Computer Science at North Carolina State University, where she leads cutting-edge research in computer systems. Her work bridges theoretical innovation with practical applications in cloud and distributed environments, maintaining active collaborations with industry leaders including IBM, Google, and Credit Suisse. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2004) M.S. in Computer Science, University of Illinois at Urbana-Champaign (2001) B.S. in Computer Science, Peking University, China (1999) Gu's research centers on autonomous system management through machine learning, with significant contributions to cloud infrastructure reliability. Her work addresses critical challenges in performance debugging, security vulnerability detection, and resource optimization across distributed systems. Current projects focus on self-supervised learning frameworks for container security and causal analysis techniques for microservice performance issues, demonstrating strong interdisciplinary connections between systems engineering and artificial intelligence. Her publication trends reveal deep specialization in cloud-native system resilience, with recent work emphasizing ML-driven anomaly detection (2022-2024), container security (2019-2022), and blockchain privacy mechanisms (2019). The research consistently targets production-grade solutions for industry-scale problems, evidenced by patents licensed to Google and commercialization through her startup InsightFinder. Key honors include: National Science Foundation CAREER Award (2011) Four IBM Faculty Awards (2008, 2010, 2011) Google Research Awards (2009, 2011) Best Paper Awards at ICDCS 2012 and CNSM 2010 IBM Invention Achievement Awards (2004, 2006, 2007) Gu actively mentors PhD students through her DANCE research group (Distributed system research on Autonomy, resilience, Collaboration, and Energy), with current projects funded by $2.3M+ in grants from NSF, ARO, and industry partners. Her sponsored research portfolio includes the NSF-funded CAREER project on virtualized infrastructure reliability and Cisco-sponsored work on machine learning for IT service assurance. She has served as associate editor for IEEE TPDS and program co-chair for major conferences including USENIX ICAC 2014. Gu leads the DANCE research laboratory, which specializes in building resilient cloud systems through techniques like speculative anomaly diagnosis and self-evolving monitoring. The lab maintains strong industry ties, with technologies commercialized through InsightFinder and adopted by Google. Current initiatives focus on predictive management of multi-tenant cloud environments and hybrid computing models for energy-efficient data centers.

• Compiler Optimizations for Emerging Architectures
• Programming Language Design and Implementation
• Verification of Compiler Optimizations
• +۳ مورد دیگر

Benjamin Goldberg is an Associate Professor in the Computer Science Department at New York University, where he conducts research at the intersection of compiler design, programming languages, and formal methods. His work emphasizes building reliable and efficient compiler optimizations for modern architectures through rigorous validation frameworks. Education Ph.D. in Computer Science, Yale University B.A. in Mathematical Sciences, Williams College (1982) Research Interests Goldberg's primary research spans compiler optimizations for instruction-level parallel architectures, verification of compiler transformations to guarantee correctness, and storage management techniques including advanced garbage collection. He pioneered the Trimaran Compiler Research Infrastructure for experimental compiler development and leads the Compiler Validation Project (ACSys group) focused on translation validation. His work integrates theoretical foundations with practical compiler implementation, addressing critical challenges in speculative optimization and memory management for distributed systems. Publication Trends Analysis of his 15 most recent publications reveals a dominant focus on compiler validation (7 papers, 2002-2010), particularly loop optimization and software pipelining verification. Earlier work (1988-1997) centers on garbage collection (5 papers) and functional programming (4 papers). This progression demonstrates a strategic shift from memory management foundations to formal methods for compiler trustworthiness, with consistent contributions to parallel computing infrastructure throughout his career. Research Groups Goldberg is a core member of NYU's ACSys research group , developing the TVOC framework for validating compiler optimizations. He co-created the Trimaran project , an open infrastructure for compiler research targeting instruction-level parallel architectures, which has become a standard platform for compiler experimentation in academia and industry.

Julia Maurerمشاهده پروفایل

پژوهشگر

• X-ray Computed Tomography
• Materials Science
• Composite Materials
• +۴ مورد دیگر

Julia Maurer is a researcher at the University of Applied Sciences Upper Austria's Research Center Wels, actively contributing to the Automotive/Mobility, Energy, and Smart Production Centers of Excellence with a focal specialization in Computed Tomography and Materials. Her work bridges advanced imaging techniques with industrial applications in hydrogen technology and composite materials development. Her research expertise centers on X-ray Computed Tomography (X-CT) for materials characterization, with particular emphasis on fiber-reinforced polymers, composite failure analysis, and hydrogen-compatible material systems. She investigates damage mechanisms in PPS composites under high-pressure hydrogen conditions, fiber orientation in polypropylene matrices, and the deformation behavior of polymer blends containing PTFE additives. This work directly addresses critical challenges in sustainable energy infrastructure and automotive component design. Recent publications reveal a concentrated research trajectory toward solving hydrogen storage and transportation challenges through advanced materials characterization. Her work demonstrates how X-CT enables 3D visualization of microstructural damage in composites, providing unprecedented insights into failure mechanisms under operational stresses. This approach has proven vital for developing safer hydrogen-compatible components like piston rings and packing seals. Dr. Maurer has secured significant research funding through projects including HyBRID (2023-2025), focusing on high-pressure hydrogen applications with IBW/EFRE & JTF 2021-2027 funding, and the CT-Phd project (2019-2022) with Borealis support for damage characterization in fiber-reinforced polymers. Her collaborative work spans academic-industrial partnerships with organizations like Borealis and involves close coordination with researchers including Kastner J., Plank B., and Burgstaller C. She operates within the Computed Tomography research ecosystem at Research Center Wels, leveraging specialized facilities for X-CT analysis of advanced materials. Her work integrates with Automotive/Mobility and Energy Centers of Excellence to develop next-generation materials solutions for hydrogen infrastructure, where her focus on material degradation mechanisms under hydrogen exposure directly informs component reliability and safety standards.

• Smart Grids
• Energy Consumption Modeling
• Urban Mobility
• +۴ مورد دیگر

Cruz Enrique Borges Hernandez is a Professor at the Faculty of Engineering, University of Deusto, specializing in computational approaches to energy systems and urban sustainability. His research integrates data science, agent-based modeling, and behavioral analysis to address critical challenges in smart grids, energy consumption patterns, and urban mobility. His primary research interests include: Smart grid optimization and electricity demand forecasting Urban mobility modeling and 15-minute city concepts Behavioral interventions for energy efficiency in buildings Cross-generational climate change perception studies Blockchain applications for peer-to-peer energy markets His recent publications demonstrate strong trends in applying machine learning to smart meter data analysis, developing agent-based simulations for urban systems, and examining socio-technical aspects of energy transitions. Key methodological contributions include cascading models for behavioral nudges and novel approaches to electricity consumption typology derivation. As an active researcher in EU-funded projects, he bridges technical energy modeling with social science perspectives, creating policy-relevant outputs that address both engineering challenges and human behavior aspects of sustainability transitions. His work emphasizes practical implementation through platforms like GreenSoul for building energy monitoring and GTPlat for transport planning simulations.

Sonia Hinesمشاهده پروفایل

پژوهشگر ارشد

• Systematic Reviews
• Evidence Synthesis
• Evidence-Based Practice
• +۲ مورد دیگر

Sonia Hines is a Senior Research Fellow and Director of the Mparntwe Centre for Evidence in Health at Flinders University's College of Medicine and Public Health. Based at the Centre for Remote Health in Alice Springs, she leads a JBI Centre of Excellence focused on evidence synthesis and research translation in rural and remote healthcare contexts. Her research expertise centers on systematic reviews and evidence syntheses across multiple methodologies including effectiveness (Cochrane and JBI), qualitative, mixed-methods, measurement properties (COSMIN), and scoping reviews. Key interests include evidence-based practice implementation, research literacy development, rural and remote health systems, stroke rehabilitation, and postoperative care. Her work significantly contributes to UN Sustainable Development Goals through health system strengthening in underserved communities. Her publication record shows consistent output since 2009 with 101 research outputs, including high-impact systematic reviews that have garnered over 1,743 citations and an h-index of 22. Recent work demonstrates growing focus on rural health applications of evidence synthesis methods. Australian College of Nursing Florence Nightingale Scholarship (2018) Australian College of Nursing Margaret Y Winning Scholarship (2015) Most Downloaded Paper Award in European Journal of Cardiovascular Nursing (2024) As Director of the Mparntwe Centre for Evidence in Health, Hines provides systematic review training, methodological consultation, and evidence synthesis services to healthcare organizations. She serves as Senior Associate Editor for JBI Evidence Synthesis and represents Flinders University in the Central Australian Academic Health Sciences Network. Her work bridges academic research with practical implementation in remote Australian healthcare settings through the Centre for Remote Health in Alice Springs.

Rafael Asensiمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Quality
• Power Systems
• +۴ مورد دیگر

Rafael Asensi serves as an Associate Professor in the Department of Electrical Engineering within the School of Industrial Engineering at Technical University of Madrid (UPM), where he has held a faculty position since joining the department in 1994. His academic credentials include: 1991: Industrial Engineer from E.T.S.I.I., Universidad Politécnica de Madrid (UPM) 1998: Doctor in Industrial Engineering from E.T.S.I.I., UPM Professor Asensi's research program centers on Power Quality within electrical power systems. His technical investigations focus on high frequency modeling of magnetic components and non-linear load modeling and simulation, addressing critical challenges in power system reliability and electromagnetic compatibility. These research threads integrate advanced computational techniques with practical power engineering applications to optimize system performance under complex operational conditions. His scholarly contributions bridge theoretical electromagnetic principles with real-world power quality solutions, particularly in industrial and commercial electrical infrastructure contexts.

• Artificial Intelligence in Medicine
• Public Health
• Healthcare Systems
• +۳ مورد دیگر

Junaid Bajwa serves as a Clinical Associate Professor at University College London (UCL) and holds visiting scientist positions at Harvard School of Public Health and Nanyang Technological University (NTU) in Singapore. Concurrently, he operates as a Senior Partner at Flagship Pioneering leading their UK division and Science Partner for Pioneering Intelligence globally, while maintaining active clinical practice within the UK's National Health Service. His research critically bridges artificial intelligence and medical practice, emphasizing trusted, reliable, and human-centered AI integration across healthcare systems. With extensive field experience spanning primary/secondary care, public health infrastructure, and health policy formulation, his work impacts healthcare delivery networks throughout the US, Europe, Australia, Middle East, and Singapore. Prior to these roles, he pioneered Responsible AI initiatives as Chief Medical Scientist at Microsoft Research, directing strategic partnerships for medical AI adoption. Information regarding academic advising, research grants, laboratory facilities, or research teams was not provided in the source material.

Dani Alexanderمشاهده پروفایل

پژوهشگر

• Sustainable energy
• Low-carbon economy
• Distributed energy resources
• +۵ مورد دیگر

Dani Alexander serves as Research Director at the Institute for Sustainable Futures (ISF) at University of Technology Sydney (UTS), where she leads critical research initiatives focused on sustainable energy solutions. She also holds the position of RACE for Business Program Leader at the Reliable Affordable Clean Energy (RACE) for 2030 Cooperative Research Centre, working toward Australia's transition to a low-carbon economy. With a multi-disciplinary background spanning both hard and social sciences, Alexander bridges the gap between emerging energy technologies and existing markets. Her educational background includes: Master of Biotechnology from Australian National University Bachelor of Science from University of Queensland Bachelor of Business Management from University of Queensland Dani Alexander specializes in understanding game-changing technologies that offer hope for globally sustainable energy systems. Her research interests encompass sustainable energy, low-carbon economy transitions, distributed energy resources, energy policy development, and demand management strategies. She has particular expertise in facilitating diverse stakeholder groups including business leaders, policymakers, technical specialists, and the general public to drive action toward common sustainability goals. Her work emphasizes the integration of clean energy technologies into existing infrastructure and markets, with a focus on practical implementation and community engagement. Her recent publications reveal a strong focus on energy system flexibility, building-level energy management, and distributed energy resource integration. The research shows increasing attention to practical implementation challenges, stakeholder perspectives, and policy frameworks needed to support Australia's energy transition. There's a clear trajectory toward more holistic approaches that consider technical, economic, social, and regulatory dimensions of sustainable energy systems. Alexander has secured numerous research grants from organizations including the Australian Renewable Energy Agency (ARENA), Department of Industry, Science, Energy and Resources, and Race for 2030 Limited CRC. Her funded research projects address critical energy challenges such as energy trends visualization, knowledge sharing impact, emergency smart grids, and renewable energy integration for industrial applications. As Research Director at ISF, Alexander leads a team focused on practical energy solutions for a sustainable future. Her work with RACE for 2030 CRC specifically targets business engagement to accelerate Australia's transition to reliable, affordable, clean energy by 2030. She employs diverse engagement formats including focus groups, workshops, seminars, and interviews to facilitate collaboration across the energy sector.

• Earthquake Engineering
• Seismic Design
• Steel Structures
• +۲ مورد دیگر

Lydell Andree Wiebe is a Professor in the Department of Civil Engineering at McMaster University's Faculty of Engineering. He specializes in earthquake engineering, seismic design of steel structures, and resilient infrastructure systems. His academic credentials include a BASc (2005) and PhD (2013) in Civil Engineering from the University of Toronto, and an MSc in Earthquake Engineering (2008) from the ROSE School in Pavia, Italy. His research focuses on developing innovative structural systems such as controlled rocking braced frames and masonry walls to enhance seismic resilience. Key areas include performance-based design, structural dynamics, and risk assessment of infrastructure under seismic loads. He actively contributes to professional committees, including the CSA S16 Technical Committee (Steel Structures) and the Canadian Association for Earthquake Engineering. Dr. Wiebe's recent publications (2020–2025) emphasize seismic loss mitigation, optimization of controlled rocking systems, and machine learning applications in structural engineering. His work integrates experimental testing with advanced computational models to improve design methodologies for earthquake-resistant structures. Awards & Honors: GJ Jackson Fellowship Award (2005) HA Krentz Research Award (2015) McMaster Faculty of Engineering Teaching Excellence Award (2017) McMaster Students Union Teaching Award (2014, 2017) He teaches courses including Steel Structures , Seismic Design and Analysis , and Introduction to Civil Engineering , reflecting his commitment to education and mentorship.

• Cyber-Physical Systems
• System Safety and Security
• Smart Grids
• +۵ مورد دیگر

Edward Griffor is an Adjunct Professor in the Department of Computing and Software at McMaster University . His scholarly activity spans over four decades, focusing on Cyber-Physical Systems (CPS) , System Safety , Smart Grids , and Ontology-Based Reasoning . Griffor’s research bridges theoretical computer science with practical applications in Automated Driving Systems , Embedded Systems , and Real-Time Analytics . His work emphasizes formal methods for ensuring trustworthiness, security, and timing constraints in complex systems. Recent publications highlight trends in CPS testing frameworks , IoT capability composition , and human-centric system design . Griffor has contributed to IEEE and LNCS journals, with a particular focus on safety-critical systems and energy infrastructure.

• Software Testing
• Mutation Testing
• Distributed Real-Time Systems
• +۵ مورد دیگر

Birgitta Lindström is an Associate Professor of Informatics at the University of Skövde, Sweden, where she has been employed since 2000. She serves as Director of PhD education in Informatics since 2019 and leads the Distributed Real-Time Systems (DRTS) research group. Her academic home is within the School of Informatics, specifically the Department of Information Technology, where she teaches courses in software testing, concurrent programming, distributed systems, and software engineering experimentation. Lindström's research focuses on software testing methodologies, particularly mutation testing, testability analysis, and testing approaches for distributed real-time systems. Her work bridges theoretical foundations with practical applications in critical infrastructure protection, cybersecurity, and model-based testing. She has made significant contributions to understanding strong mutation theory, mutant subsumption, and efficient test set generation. Her recent publications reveal a growing emphasis on applying software testing principles to critical infrastructure systems, particularly smart grids and cyber-physical systems. The DOMINO project (2017-2025) represents her current focus on reducing the number of mutants needed for effective testing, while her earlier work in the ELVIRA (2017-2020) and TOCSYC (2013-2018) projects addressed testing of critical system characteristics including performance efficiency, robustness, and testability in complex embedded systems. Guldäpplet (Best Teacher Award) 2012 Lindström has supervised numerous BSc and MSc final year projects and served as examiner for various courses. Her research has been supported by substantial funding from sources including EU/ISF, KKS (30 MSEK for TOCSYC), and Vinnova (multiple projects totaling over 6.5 MSEK with matching from Saab Aeronautics). She has been instrumental in developing curriculum for computer science programs and establishing software testing education initiatives, including founding the TestEd workshop series focused on software testing education. As research leader of the DRTS group since 2015, she has fostered collaboration across institutions including Mälardalen University, Swedish Institute of Computer Science, Blekinge Institute of Technology, and Karlstad University. Her current DOMINO project continues this tradition of collaborative research addressing fundamental challenges in mutation testing efficiency.