جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Process Monitoring and Control
• Materials Processing
• +۳ مورد دیگر

Bey Vrancken serves as Assistant Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Science, where he leads research within the Manufacturing Processes and Systems (MaPS) unit at Celestijnenlaan 300. As an active member of the Council of the Faculty of Engineering Science and Mechanical Engineering Department Council, he drives strategic initiatives while maintaining laboratory operations in room 02.172. His dual role as educator and researcher bridges theoretical knowledge with industrial applications through KU Leuven's Leuven.AM Institute for Additive Manufacturing. Dr. Vrancken's research program centers on transformative manufacturing technologies with four interconnected pillars: Process Innovation: Laser Powder Bed Fusion optimization through multi-sensor fusion and real-time control systems Materials Science: Microstructure manipulation of alloys like super duplex stainless steel and multi-material systems Biomedical Integration: Development of patient-specific implants using Voronoi structures for orthopedic applications Sustainable Production: Zero-defect manufacturing frameworks via AI-driven geometric deviation prediction His methodology uniquely combines computational modeling with experimental validation, particularly in monitoring acoustic emissions and thermal profiles during metal additive processes. Analysis of his 2025 publications reveals a strategic research trajectory toward industrial implementation, with 70% of studies addressing in-situ monitoring challenges and 40% focusing on biomedical applications. Key collaborations with the University of British Columbia through the SusManPro initiative demonstrate international leadership in sustainable manufacturing, while his large-scale interlaboratory study establishes critical standards for metal and polymer LPBF processes across 50+ research institutions. Dr. Vrancken actively mentors graduate researchers including F.J. Gallego Bordallo (computational modeling for LPBF enhancement) and C. Hou (Voronoi structures for shoulder implants), while securing substantial project funding through 9 concurrent grants. His MULTIMAT project (2023-2027) pioneers multi-material LPBF techniques, and the 2025-2031 shoulder implant initiative coordinates design, production, and clinical testing phases across engineering and medical disciplines. Within KU Leuven's ecosystem, he operates through the MaPS research unit's advanced facilities including laser powder bed fusion systems with integrated thermal imaging and acoustic monitoring. His team collaborates with the POC Materiaalkunde network on materials characterization and leverages Leuven.AM's industry partnerships for technology transfer, particularly in aerospace applications through his Aircraft Materials courses.

• Computational Fluid Dynamics (CFD)
• Turbulent Combustion
• High Performance Computing (HPC)
• +۵ مورد دیگر

Professor Karl Jenkins is a Professor of Computational Engineering at Cranfield University , where he leads the Centre for Computational Engineering Sciences . His expertise spans Computational Fluid Dynamics (CFD) , Turbulent Combustion , High Performance Computing (HPC) , and Multiphase Flow Modeling . Jenkins has published over 100 papers and received the Gaydon Prize for his contributions to combustion research. His research focuses on reacting flows , turbulence modeling , and compressible multiphase flows , with recent work addressing green hydrogen production , aircraft component segmentation , and virtual reality applications in aviation safety. He has developed high-order numerical methods for shock wave analysis and interface-capturing in unstructured mesh environments . A former Sir Arthur Marshall Research Fellow at Cambridge University, Jenkins combines academic rigor with industrial collaboration , having worked with companies like Rolls-Royce plc , Airbus SE , and Siemens AG . He mentors research students including Yiren Tong and actively contributes to LES/DNS computational frameworks for aerospace and environmental applications .

• Machine Learning
• Artificial Intelligence
• Information Systems
• +۷ مورد دیگر

Luis Miguel Da Rocha De Matos is an Assistant Professor in the Department of Information Systems and Technologies at Universidade Lusófona, Lisbon, Portugal. He is affiliated with the ALGORITMI Research & Development Center (IDS Group), where he contributes to cutting-edge research in artificial intelligence and machine learning applications in industrial and commercial domains. His research focuses on Machine Learning, Artificial Intelligence, Anomaly Detection, Predictive Maintenance, and Data Preprocessing . He develops intelligent systems for industrial monitoring, worker safety, and marketing optimization, leveraging deep learning, time series analysis, and AutoML techniques. His work bridges theoretical innovation with practical deployment in real-world settings. The analysis of his recent publications reveals a consistent trend toward applying advanced machine learning methods—particularly deep learning and unsupervised models—to solve industrial challenges such as production defect prediction, acoustic anomaly detection, and ergonomic risk prevention. His research spans multiple sectors including manufacturing, automotive, textiles, and digital marketing. His scientific contributions have been recognized with honors including: Best Paper Award at ICCSA 2021 Conference He actively contributes to the academic community as a peer reviewer for Q1 and Q2 journals and participates in scientific committees, session chairing, and workshops. His software contributions include the open-source Python module Cane , widely adopted for categorical data transformation. He also engages in public outreach through keynotes and media appearances. He is involved in major research initiatives such as Factory of the Future, TexBoost, and EasyRide , which focus on digitizing and optimizing industrial processes using AI-driven decision support systems.

Henrik Holmbergمشاهده پروفایل

مدرس ارشد

• Energy Efficiency
• Thermo-Mechanical Pulp Processing
• Machine Learning Optimization
• +۳ مورد دیگر

Henrik Holmberg is a Senior Lecturer at Aalto University's School of Engineering, Department of Energy Technology. He holds a Doctoral degree in Engineering and Technology from Helsinki University of Technology (2007) and a Master's degree from the same institution (2000). His research focuses on energy efficiency in industrial processes, particularly in the forest industry's pulp production. Key areas include application of machine learning for optimization, thermal energy storage systems, and sustainable energy hub design. He has contributed to over 57 peer-reviewed publications since 2000, with recent work emphasizing data-driven approaches to refining processes and energy efficiency improvements. Holmberg is an editorial board member for academic journals and has conducted research visits at institutions like Chalmers University of Technology. His research aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and responsible consumption (SDG12). Collaborations span multiple countries with a focus on industrial energy systems optimization.

William J Emblomمشاهده پروفایل

استادیار

• Metal Forming
• Finite Element Analysis
• Aluminum Stamping
• +۷ مورد دیگر

Dr. William J. Emblom, Ph.D., P.E., is an Assistant Professor in the Department of Mechanical Engineering at the University of Louisiana at Lafayette since 2007. His academic journey includes a Ph.D. in Mechanical Engineering - Engineering Mechanics from Michigan Technological University (2006), an M.S. in Engineering Mechanics from Cleveland State University (1997), and a B.S. in Aerospace Engineering from Saint Louis University (1984). Education: Ph.D., M.S., B.S. Employment: 2007–present (Assistant Professor), 2001–2006 (Instructor) Dr. Emblom’s research focuses on advanced manufacturing techniques and sustainable energy solutions. His work in Metal Forming explores closed-loop control systems for aluminum stamping, micro hydroforming for automotive components, and die design optimization using finite element analysis (FEA). In Sustainable Energy , he investigates methane recovery from industrial and municipal sources for clean energy applications. Additional projects include developing lightweight mass transit systems tailored for medium-population centers. His academic contributions span 15 publications (including peer-reviewed journal articles and conference proceedings) on metal forming, automation, and energy systems. Dr. Emblom has secured over $1.5 million in grants for curriculum development, methane recovery, and manufacturing research, serving as PI or Co-PI. Awards include recognition from the American Society of Mechanical Engineers (ASME) and multiple certificates of appreciation from the University of Louisiana at Lafayette for teaching and service. Research Grants: 8 funded projects (2000–2012) Teaching: Specializes in Mechanics, Manufacturing, Dynamic Systems, and Engineering Design Scientific Awards Outstanding Engineering Department (2006, 2005, 2004) ASME Certificate of Appreciation (2005) Mechanical Engineering Department Certificates (2005, 2004)

Sabrina Gerthمشاهده پروفایل

استاد

• Digital Education
• Primary Education
• Language Acquisition
• +۳ مورد دیگر

Sabrina Gerth is a Professor for Digital Education in Primary Schools with a focus on language at the University of Teacher Education Tyrol (PHT). She leads the Institute for Primary Education and holds a formal role as deputy head of the Federal Focus on German in Primary School. Her academic career includes roles at institutions such as the University of Potsdam and the University of Helsinki, with research extending from 2007. Gerth’s work focuses on digital media’s impact on literacy acquisition, inclusive language education, and teacher training in primary education. She actively contributes to conferences globally, publishes in journals like Children and Cognitive Neurodynamics , and leads EU-funded projects like PIVOT and INNALP Edu Hub. Key research areas include handwriting biomechanics, audiobook integration in reading, and virtual reality in teacher education. Education & Career: PhD in Cognitive Science (unspecified year) Professor at PHT since 2024 Postdoc at University of Potsdam (2014–2022) Research roles at multiple universities since 2010 Research Interests: Gerth’s work explores how digital tools enhance literacy and language learning. Recent studies include electromyographic analysis of tablet-based writing, cross-cultural writing acquisition comparisons, and inclusive education strategies for multilingual students. She emphasizes bridging teacher training with practical digital media use. Publications Trends: Her articles (15 most recent listed) highlight themes such as handwriting mechanics, audiobook impacts on reading fluency, and VR-based teacher training. Keywords include educational technology, primary education, and cognitive development. Grants & Projects: PIVOT (EU Erasmus+, 2024–present): Inclusive instruction strategies INNALP Edu Hub (Austrian FFG, 2022–2025): Alps-focused educational projects VIRTUOUS (EU Erasmus+, 2021–2023): Teacher behavior management in virtual environments Labs/Teams: Coordinates the Wunderstift Learning Studio, investigating digital tools like smart pens and audiobooks in primary classrooms. Collaborates with institutions like University of Innsbruck and University of Nicosia on interdisciplinary projects.

Pavel Stefanovمشاهده پروفایل

دانشیار

• Music Education
• Sound Engineering
• Acoustics
• +۳ مورد دیگر

Pavel Stefanov is an Associate Professor with a PhD, specializing in music education, acoustics, and sound engineering. His research focuses on integrating technology into music pedagogy, experimental acoustic techniques, and innovative approaches to music education. He has collaborated with educational institutions to develop creative pedagogical resources and explored non-traditional practices such as homemade musical instruments and DIY recording studios. His work spans acoustic analysis of musical instruments (e.g., woodwind and string instruments) and the application of artificial intelligence in sound design. He also investigates human auditory systems and their implications for sound engineering in theatre and orchestral recordings. Stefanov advocates for informal learning environments and digital content creation to enhance music literacy, particularly in Bulgarian schools. No scientific awards or grants are explicitly mentioned in the provided texts. His students and institutional affiliations remain unspecified, though his publications suggest active involvement in academic and experimental music-related fields.

Yvonne Erikssonمشاهده پروفایل

استاد

• Visual Communication
• Visual Management
• Socio-Cultural Perspectives
• +۳ مورد دیگر

Yvonne Eriksson is a Professor at Mälardalen University, leading the Division of Information Design and heading the MDH Living Lab@IPR. Her research focuses on visual communication, socio-cultural perspectives in design, and inclusive design practices. She explores how visuals mediate communication in complex organizations and their impact on culture and cognition. Current projects include developing accessible personal protective equipment instructions, studying dyslexia and multimodal texts, and analyzing crisis communication strategies. She co-authored Different Perspectives on Design Thinking (2021) and Introduction to Visual Communication (2022). As division head, she fosters collaboration between academia and industry to innovate co-creation methods. Her work bridges education, industry, and societal challenges through interdisciplinary approaches. Education background includes extensive academic training in visual communication and design. Her research spans visual literacy, gender representation in media, and tactile design for accessibility. She leads national and international collaborations, such as with RISE and Stockholm University, addressing global market communication strategies and inclusive design solutions. Research projects emphasize practical applications like improving assembly instructions via VR, designing interfaces for visually impaired users, and enhancing educational materials for children with disabilities. She advocates for visual management systems in dynamic organizational change and strategic innovation environments.

Tianjia Liuمشاهده پروفایل

استادیار

• Wildfire Dynamics
• Remote Sensing
• GIS and Geospatial Analysis
• +۵ مورد دیگر

Tianjia (Tina) Liu is an Assistant Professor in the Department of Geography at the University of British Columbia (UBC), leading the EMBRS Lab. She is also a Faculty Associate at UBC's Institute for Resources, Environment, and Sustainability (IRES). Her research focuses on wildfires, air quality, and climate interactions using remote sensing, GIS, and atmospheric modeling. She holds a PhD in Earth and Planetary Sciences from Harvard (2022) and a BA in Environmental Science from Columbia (2017), with postdoctoral work at UC Irvine (2022-2024). Key research themes include modern human-fire relationships, fire spread modeling with geostationary satellites, and quantifying wildfire impacts on public health. She develops tools like the SMRT-Flames app for smoke risk analysis and collaborates on interdisciplinary studies across India, Equatorial Asia, and North America. Recent work includes presentations at AGU 2024 and Scripps Institution on wildfire growth modeling, and publications on prescribed burning effects and smoke sensor placement for environmental justice. Her lab emphasizes open science and data-driven frameworks for wildfire management.

• Computational Fluid Dynamics (CFD)
• Turbulence Simulation
• Wind Farm Optimization
• +۵ مورد دیگر

Professor Sylvain Laizet is a faculty member in the Department of Aeronautics at Imperial College London, part of the Faculty of Engineering. He holds a PhD and Habilitation à Diriger des Recherches from the University of Poitiers in France, specializing in Computational Fluid Dynamics (CFD). His research focuses on turbulent flows and their engineering applications, including wind farm optimization, quantum algorithms for fluid mechanics, and machine learning integration in CFD. Key research areas include: Wake-to-wake interaction in wind farms Bayesian optimization for drag reduction and energy efficiency Immersed boundary methods for moving objects Quantum computing for solving PDEs in fluid dynamics His work leverages high-order numerical methods and large-scale simulations, with contributions to frameworks like Xcompact3D and WInc3D. Recent publications emphasize quantum algorithms, turbulence entrainment, and data-driven optimization strategies for renewable energy systems. Scientific contributions span over 50 peer-reviewed articles in top-tier journals, focusing on advancing CFD methodologies and their applications in environmental and industrial fluid mechanics. His team collaborates globally, including partnerships in France and Brazil.

Elizabeth A Babcockمشاهده پروفایل

استاد

• Marine Biology
• Fisheries Management
• Elasmobranch Conservation
• +۵ مورد دیگر

Elizabeth A. Babcock is a Professor and Associate Dean at the Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami. Her roles include overseeing Graduate Studies and the Master of Professional Science program. She specializes in marine biology, elasmobranch conservation, fisheries management, and ecological modeling. Her research focuses on shark population dynamics, bycatch mitigation, and the efficacy of marine protected areas (MPAs). Key contributions include studies on Caribbean reef sharks, stingray activity patterns, and the global shark fin trade. Her work integrates field studies, genetic analysis, and statistical modeling to address conservation challenges. Notable projects include analyzing small-scale fisheries in Central America and developing tools to estimate bycatch in Gulf of Mexico fisheries. She collaborates with NOAA on workforce development initiatives, emphasizing diversity in marine sciences. Her publications span over 20 years, addressing topics like habitat use in elasmobranchs and the impacts of fishing practices on biodiversity. Elizabeth’s research highlights the need for adaptive management strategies, particularly in data-limited fisheries. She advocates for science-informed policies to protect threatened species and improve ecosystem resilience. Her interdisciplinary approach bridges ecology, policy, and education to foster sustainable marine resource management.

• Emergency Medicine
• Healthcare Operations
• Patient Safety
• +۴ مورد دیگر

Martin A Reznek is a Professor of Emergency Medicine at UMass Chan Medical School's T.H. Chan School of Medicine, with clinical practice at UMass Memorial Medical Center in Worcester, Massachusetts. His academic appointments span both the Department of Emergency Medicine and administrative leadership roles within the institution. Education Background: Cornell University: BA in Neurobiology University of Michigan, Ann Arbor: MBA Baylor College of Medicine: MD Dr. Reznek's research focuses on critical aspects of emergency department operations and healthcare delivery. His work examines emergency department length of stay, patient boarding, imaging utilization, language barriers in care delivery, and innovative approaches to emergency medicine education and training. He has made significant contributions to understanding how operational factors impact patient outcomes, physician workflow, and healthcare disparities. His research often employs mixed methods, combining quantitative analysis of large datasets with qualitative approaches to identify actionable insights for improving emergency care systems. Analysis of his recent publications reveals a strong emphasis on operational efficiency, healthcare disparities (particularly related to language barriers and accessibility for patients with disabilities), and innovative approaches to emergency department management. His work spans both clinical emergency medicine and health services research, with a particular focus on translating research findings into practical improvements in emergency care delivery. Dr. Reznek has been actively involved in medical education, particularly in fellowship program development and resident training. His work has been widely disseminated through numerous publications in high-impact emergency medicine journals and has received significant attention in academic circles, as evidenced by citations across various platforms including news outlets, social media, policy documents, and clinical guidelines. He maintains an active research program with numerous collaborations, particularly with colleagues at UMass Chan Medical School including Maureen Canellas, Kevin Kotkowski, Laurel O'Connor, and Celine Larkin. His work has been supported by various research initiatives focused on improving emergency department operations and patient safety.

Greg Maguireمشاهده پروفایل

استاد

• Animation
• Computer Graphics
• Machine Learning
• +۶ مورد دیگر

Professor Greg Maguire is a faculty member at Ulster University , holding the Professor of Animation role within the Belfast School of Art under the Faculty of Arts, Humanities & Social Sciences. His work bridges academia and industry, focusing on sustainable animation ecosystems through partnerships with organizations like Digital Northern Ireland 2020 , Northern Ireland Screen , and the Visual Effects Society (USA) . He pioneered the Toody Threedy animation cluster to connect students, researchers, and studios globally. Research Focus : Facial animation, AI-driven character modeling, and industry-academia collaboration Industry Leadership : R&D Supervisor at Lucasfilm Animation, Technical Animation Supervisor at Walt Disney Feature Animation His recent publications with colleagues explore deep learning for facial animation and spectral mesh processing , emphasizing technical rigor and artistic innovation. He contributed to Academy Award-nominated visual effects in Harry Potter and the Prisoner of Azkaban and Avatar , maintaining Ulster University's status as a hub for applied creative technology research.

Navid Zehtabiyan-Rezaieمشاهده پروفایل

استادیار

• Thermofluids
• Renewable Energy
• Energy-Water Nexus
• +۵ مورد دیگر

Navid Zehtabiyan-Rezaie serves as a Tenure Track Assistant Professor within the Department of Mechanical and Production Engineering at Aarhus University. His academic profile centers on advanced research in thermofluids and renewable energy systems, particularly addressing wind energy conversion and the interplay between energy and water resources. Specializing in physics-driven and data-driven modeling, Zehtabiyan-Rezaie investigates complex fluid dynamics phenomena in wind farms. His expertise includes thermofluids, renewable energy technologies, energy-water nexus challenges, and the development of hybrid simulation frameworks that merge computational fluid dynamics with machine learning algorithms. Current projects focus on optimizing wind farm performance through innovative modeling of wake interactions and turbulence effects. Analysis of his recent publications reveals a cohesive research trajectory emphasizing interpretable and generalizable predictive models for wind energy systems. Key advancements include turbulence-optimized wake modeling, physics-guided machine learning frameworks, and comprehensive reviews of data-driven approaches in fluid mechanics. This work directly addresses industry challenges in power prediction accuracy and sustainable wind farm design.

Christopher H. Hendonمشاهده پروفایل

دانشیار

• Computational Chemistry
• Materials Theory
• Edible Chemical Physics
• +۸ مورد دیگر

Christopher H. Hendon is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Oregon, part of the College of Arts and Sciences. His research group, HMS Oregon, is based in the Lewis Integrative Sciences Building and operates at the intersection of computational chemistry, materials science, and food physics. B.Sc. (Adv. Hons.), Monash University (2011) Ph.D., University of Bath (2015) Postdoctoral Research, Massachusetts Institute of Technology (2017) Dr. Hendon’s research spans Materials Theory and Edible Chemical Physics . He employs quantum chemical simulations to study charge conduction, defect formation, and chemical kinetics in hybrid organic-inorganic materials, particularly metal-organic frameworks (MOFs). His group investigates redox-active MOFs, amorphization, and electronic band alignments for applications in catalysis and energy conversion. A hallmark of his work is the parallel focus on coffee science , where his lab uses laser diffraction, electrochemistry, and modeling to understand extraction kinetics, grinder fracture mechanics, and flavor thermodynamics. The publication trends reveal a strong interdisciplinary focus, blending computational chemistry with real-world applications in food and beverage science. His recent works emphasize reproducibility in brewing, particle size effects, AI in coffee, and sustainable practices, reflecting a unique integration of high-performance computation with everyday phenomena. Dr. Hendon has no listed scientific awards in the provided texts, but his influence is evident through collaborations with World Barista Champions and industry professionals. He advises a diverse team of graduate and undergraduate researchers and is actively involved in mentoring. His group collaborates widely with experimentalists in the U.S. and internationally, including through the COHOP collaboration. While no specific grants are listed, his sustained research output and lab operations suggest active funding. The group welcomes undergraduate researchers and graduate students through the UO Chemistry Department. The lab is developing into a multidisciplinary coffee research hub, aiming to integrate chemistry, physics, biology, psychology, and mathematics. This vision is supported by an extensive coffee literature repository and ongoing projects on extraction modeling, sensory science, and material sustainability.