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Brad KinseyView profile

Professor

• Materials Deformation Processes
• Advanced Manufacturing Techniques
• Mechanical Engineering
• +3 more

Brad Kinsey is a Professor and Associate Dean at the College of Engineering and Physical Sciences (CEPS) at the University of New Hampshire, with a Ph.D. in Mechanical Engineering from Northwestern University. His research focuses on mechanics, materials, and manufacturing innovations related to deformation processes. B.S., Mechanical Engineering, University of Michigan M.S., Mechanical Engineering, Northwestern University Ph.D., Mechanical Engineering, Northwestern University His research bridges fundamental material behavior (e.g., martensitic transformation, cyclic bending, stress superposition) with advanced manufacturing techniques (electromagnetic forming, incremental forming, water droplet machining). Recent work emphasizes improving formability of titanium and aluminum alloys through novel deformation paths and sustainable machining alternatives. Article Trends (2024–2022): Deformation-induced phase transformations in stainless steels Microstructure manipulation via cyclic loading Water droplet erosion for composite machining Stress-based failure criteria in metal forming Photoelasticity in soft materials Biaxial testing methodologies Scientific Awards : Fellow, American Society of Mechanical Engineers Fellow, Society of Manufacturing Engineers Fellow, CIRP (International Academy for Production Engineering) Kinsey has led numerous NSF-funded projects, including grants for Continuous-Bending-Under-Tension studies (2013–2017), HIP-SWaD water droplet machining (2015–2022), and the NH Center for Multiscale Modeling and Manufacturing (2018–2023). He collaborates extensively on topics like electromagnetic forming, impact welding, and microscale manufacturing.

MUSTAFA YASIN ERTENView profile

Lecturer

• Power Systems
• Renewable Energy Forecasting
• Nanocomposites
• +3 more

Mustafa Yasin Erten serves as a Lecturer in the Department of Electrical and Electronic Engineering at Kırıkkale University's Faculty of Engineering and Natural Sciences, focusing on critical intersections of power systems engineering, advanced materials, and artificial intelligence. His institutional role centers on electrical engineering with specialized contributions to energy sustainability and nanomaterial innovation. His research program spans three core domains: Energy Forecasting & Grid Management : Development of deep learning models for electricity load prediction in commercial buildings, solar/wind power forecasting, and demand response integration, addressing climate-resilient grid operations as evidenced by his 2025 California ISO study. Nanocomposite Materials : Investigation of copper/aluminum/titanium matrices reinforced with MWCNTs, GNPs, SiC, and ceramics to enhance thermal, electrical, and wear properties for electrical applications. Smart Systems Implementation : Design of IoT-enabled infrastructure including public transportation networks, smart homes, and robotic control systems using embedded devices and communication protocols. Analysis of his 2020-2025 publications reveals a strategic shift toward AI-driven energy solutions, with 60% of recent work applying machine learning to forecasting challenges, while maintaining parallel expertise in nanomaterial synthesis. His California ISO case study exemplifies growing emphasis on real-world climate-energy crisis responses. Scientific Awards: No awards documented in source materials Advising and Grants: Source documentation provides no details regarding graduate student mentorship, research grants, or funded projects. His publication record indicates independent and collaborative work without explicit funding acknowledgments in the provided excerpts. Labs and Teams: While institutional affiliation is clearly established, no specific laboratories, research centers, or team structures are mentioned in the available information. His work on embedded systems and nanocomposites suggests potential involvement with university-level engineering labs, though unconfirmed.

René MayerView profile

Professor

• Precision engineering
• Manufacturing
• Metrology
• +7 more

René Mayer is a Full Professor at the Department of Mechanical Engineering, Polytechnique Montréal. With a B.Eng. (1983) and Ph.D. (1989) in mechanical engineering, he has dedicated his career to precision manufacturing, machine tool calibration, and metrology. He directs the Laboratoire de recherche en fabrication virtuelle (LRFV) and co-leads the Groupe de recherche en développement et fabrication des produits (GRDFP) . His research focuses on improving machine tool accuracy through rapid, automated measurement systems. Key areas include volumetric error compensation, thermal distortion modeling, and advanced calibration methods like SAMBA and R-test devices. Collaborations span aerospace, automotive, and biomedical industries, with international academic ties in Sweden, Poland, Germany, Switzerland, and France. Education : B.Eng. and Ph.D. in Mechanical Engineering Expertise : Precision engineering, robotics, artificial vision, finite element modeling Labs : Laboratoire de recherche en fabrication virtuelle, GRDFP Recent publications highlight machine learning applications for error prediction, thermal compensation, and uncertainty quantification in five-axis machining. Scientific honors include Fellowships with CIRP (2022) and IMechE (2012), recognizing his contributions to manufacturing science.

Shuang AoView profile

Research Fellow

• Machine Learning
• Reinforcement Learning
• Curriculum Learning
• +4 more

Mr. Shuang Ao is a Postdoctoral Research Fellow at the School of Computer Science and Engineering, University of New South Wales (UNSW Sydney). He earned his PhD from the University of Technology Sydney in January 2024. His research focuses on machine learning, reinforcement learning, and curriculum learning, with applications in robotic control and antibody drug discovery. Research Interests: Machine Learning Reinforcement Learning Curriculum Learning Graph Algorithms Optimization Techniques Recent Publication Trends: Shuang's work spans large language models for location-based recommendations, spatio-temporal forecasting, reinforcement learning frameworks, and graph algorithm optimizations. His articles address both theoretical advancements and practical applications in scalable systems and data analysis. Contact: Email: shuang.ao@unsw.edu.au

Christian DeckerView profile

Professor

• Corporate Finance
• International Banking
• Media Didactics
• +4 more

Prof. Dr. Christian Decker is a faculty member at the Hamburg University of Applied Sciences , serving in the Faculty of Economics and Social Sciences . He specializes in Corporate Finance , International Banking , and Higher Education Didactics , with a focus on innovative teaching methods like blended learning and Universal Design for Learning (UDL) . Teaching Philosophy : Advocates for research-based learning and team teaching , integrating poster conferences as alternative assessment tools. Research Contributions : Explores intersections of digital education , student self-concept , and competency-driven curricula . Scientific Awards include the Hamburg Teaching Award 2017 and multiple WiWi-Talents outstanding professorship awards . He co-authored a textbook Academic Research and Writing: A concise introduction (2016) and pioneered inverted classroom models in finance and research methodology courses.

Jean-Baptiste ColliatView profile

Professor

• Numerical Simulation of Materials and Structures
• Civil Engineering
• Mechanical Behavior of Heterogeneous Materials
• +7 more

Jean-Baptiste Colliat is a Full Professor at Polytech Lille , Lille University, specialized in Numerical Simulation of Materials and Structures within Civil Engineering. His work bridges computational mechanics with practical applications in concrete durability, geothermal systems, and biomedical simulations. Develops Enriched Finite Element Methods for heterogeneous materials Focuses on Uncertainty Quantification in multi-scale systems Key applications: Nuclear Waste Containment , Rockfill Stability , and Obstetric Biomechanics Recent research trends include 3D fracture network modeling, stress-permeability coupling in porous media, and stochastic analysis of material heterogeneity. His work integrates X-ray Micro-CT , DEM , and Multiscale Homogenization techniques. Professor Colliat leads computational frameworks for Embedded Finite Element Methods and Excursion Set Theory applications. He actively collaborates with LaMcube (Laboratoire de Mécanique Multi-physique Multiéchelle) on problems ranging from microstructural evolution to large-scale infrastructure failure.

Charles Anthony BatesView profile

Adjunct Associate Professor

• Hydraulics
• Hydraulic Motor Engineering
• Sustainable Design
• +4 more

Charles Anthony Bates serves as an External Associate Professor at the Department of Sustainability and Planning within The Technical Faculty of IT and Design at Aalborg University in Copenhagen. With a unique blend of academic expertise and extensive industry experience, Bates bridges theoretical knowledge with practical application in sustainable engineering. His dual career path spans both academia and industry, where he currently holds leadership positions at Danfoss Power Solutions while contributing to academic research and teaching. Industrial PhD in Science & Technology Studies, Aalborg University (2017-2020) MA in Professional Communication, Roskilde University (2014-2016) BSc in Mechatronic Production Engineering, University of Southern Denmark (2002-2005) Bates' research focuses on the intersection of hydraulic engineering, sustainable technology development, and organizational practices in high-tech industries. His work particularly examines how technology readiness levels coordinate development processes, how objects stage referential alignment in industrial-academic collaborations, and how sustainable design principles can be integrated into hydraulic motor technology. His fingerprint analysis reveals strong expertise in Hydraulics Material Science (100%), Hydraulic Motor Engineering (60%), Surface Roughness (26%), and related engineering disciplines. An analysis of Bates' publications reveals a consistent focus on practical applications of theoretical frameworks in hydraulic engineering. His work demonstrates how Science & Technology Studies concepts can be applied to solve real-world engineering problems, particularly in the development of sustainable hydraulic systems. The publications show increasing emphasis on environmental and governance aspects (ESG) in recent years, aligning with global sustainability goals and industry demands for more responsible engineering practices. Bates has been actively involved in knowledge transfer between industry and academia through various speaking engagements, including keynote presentations on multidisciplinary collaboration in high-tech industry and panel discussions on sustainable energy systems. His professional trajectory demonstrates a strategic integration of academic research with industry leadership roles, particularly in his capacity as Strategic Initiatives Leader and ESG Lead for Work Function Division at Danfoss Power Solutions. Principal Speaker at Graduation Ceremony for Engineers, SDU Sønderborg (2026) Keynote Speaker: Challenges and Benefits of Multidisciplinary Collaboration in High-tech Industry (2020) Panelist: Sustainable Future Energy Systems - Skills for the energy transition (2018) Bates maintains active connections with multiple academic institutions, including membership in the University of Southern Denmark organization since 2021, demonstrating his commitment to fostering academic-industry collaboration. His current trajectory shows progression toward increasingly strategic leadership roles that integrate technical expertise with sustainability considerations, reflecting the growing importance of ESG factors in engineering leadership.

• Learning Analytics
• Artificial Intelligence in Education
• Educational Technology
• +2 more

Pedro Manuel Moreno Marcos serves as an Associate Professor in the Department of Telematics Engineering at Charles III University of Madrid, where he maintains an active research profile in educational technology. His academic work bridges telecommunications engineering with data-driven educational innovation, focusing on the practical implementation of analytics in real-world learning environments across Spanish and European higher education institutions. His research centers on learning analytics and artificial intelligence applications in education, with particular expertise in student behavior modeling, dropout prediction, and AI-enhanced learning environments. Key contributions include developing predictive models using multi-source data, creating tools like Statoodle for cheating prevention in LMS platforms, and pioneering human-centered generative AI applications through projects like GENIE Learn. His methodological approach combines machine learning algorithm evaluation with institutional ethnography to address adoption challenges in learning analytics. Analysis of his 15 most recent publications reveals an accelerating focus on generative AI's educational potential since 2023, with increasing attention to ethical implementation frameworks and micro-credentialing systems. His work consistently addresses practical barriers in learning analytics adoption while maintaining strong connections to Spanish higher education contexts through projects like PALABRIA-CM-UC3M. No scientific awards were documented in the provided materials. While specific student supervision details aren't disclosed, his research methodology frequently involves multi-institutional collaborations across European higher education settings. Current projects indicate active grant funding for initiatives including SHEILA (Support Higher Education to Integrate Learning Analytics) and PALABRIA-CM-UC3M, though specific grant amounts and durations aren't specified in the source text. Dr. Moreno Marcos leads research within the university's learning analytics ecosystem, contributing to frameworks like SHEILA that inform institutional policy. His work with telepresence classrooms and IoT-enabled educational scenarios demonstrates engagement with emerging technology infrastructure, while his focus on multi-source data integration suggests leadership in developing comprehensive analytics platforms for complex educational environments.

• Translational Neuroscience of Ageing
• Alzheimer's Disease
• Cognitive Neuroscience of Learning and Memory
• +6 more

Christian Doeller is a Professor of Medicine (Neuroscience) at the Norwegian University of Science and Technology (NTNU), leading research at the Kavli Institute for Systems Neuroscience . He also serves as Managing Director of the Max Planck Institute for Human Cognitive and Brain Sciences and Professor of Psychology (Learning and Memory) at Leipzig University , Germany. Specializes in translational neuroscience of ageing and Alzheimer's disease Focuses on cognitive neuroscience of learning and memory Key projects: Jebsen Centre for Alzheimer's Disease, Helse Midt-Norge, and ERC-CoG project GEOCOG His recent research explores hippocampal-entorhinal cognitive maps, spatial navigation, and memory reconfiguration across abstract and Euclidean spaces. Collaborations span NTNU, Max Planck Institute, and Leipzig University. Notable article trends include human cognitive neuroscience applications, neuroimaging techniques (DTI-fMRI, eye tracking), and neural coding in memory systems. Themes like stress effects on memory and cortical motor system interactions with cognitive maps are recurrent. Christian Doeller's team investigates brain mapping and neurodegenerative diseases, leveraging advanced neuroimaging and computational models. His work bridges basic neuroscience with clinical applications in Alzheimer's research.

Tales de Vargas LisboaView profile

Researcher

• Composite Structures
• Numerical Modeling
• Lightweight Design
• +3 more

Tales de Vargas Lisboa serves as a Researcher in the Tailored Lightweight Composites Department within the Polymer Materials Engineering Division at Leibniz Institute of Polymer Research Dresden. His work focuses on advanced computational methods for composite material design and analysis. His research spans Numerical and analytical modeling of composite structures Design optimization of Tailored Fiber Placement (TFP) components Nonlinear bending analysis of anisotropic plates Filament winding pattern generation with particular expertise in decomposition methods for solving complex structural mechanics problems. His publication record shows consistent contributions to mechanical engineering journals between 2017-2020, primarily addressing computational challenges in composite material behavior under various loading conditions. Key projects include International ZIM 'AniDo' and DAAD 'PROBRAL' collaborations. Led by Prof. Dr.-Ing. Axel Spickenheuer, the Tailored Lightweight Composites Department develops material-specific adaptations for continuous fiber-reinforced composites in extreme lightweight applications, with Lisboa contributing specialized computational expertise to the Advanced Composite Modeling research group. His technical capabilities bridge theoretical modeling and practical engineering applications, particularly in optimizing fiber paths and structural responses for high-performance composite components.

• Structural Engineering
• Deployable Structures
• Low Carbon Design
• +3 more

Professor Neil Currie is a chartered structural engineer (FIStructE) and chartered civil engineer (MICE) at the University of Salford's School of Science, Engineering & Environment. With over 25 years of industry experience in structural engineering design, he brings extensive practical knowledge to his academic role. His affiliations include the Centre for Future Engineering at the University of Salford, where he conducts research on innovative structural solutions. Professor Currie's educational background includes: Bachelor's Degree in Civil Engineering (1994-1997) Doctor of Philosophy in "Kinky Structures" (2011-2020, completed part-time) Postgraduate Certificate in Academic Practice (2010-2012, completed part-time) His research interests focus on creating sustainable and innovative structural solutions, with particular emphasis on Low Carbon Design of Structures , Retrofitting Existing Structures , Reduction of Embedded Carbon in Structures , Deployable Structures , Adaptable Structures , Timber Design , and Lightweight Structures . Much of his work incorporates biomimetic principles, drawing inspiration from natural phenomena to develop novel engineering approaches. Professor Currie has published extensively on topics related to deployable structures, disproportionate collapse analysis of timber buildings, and innovative teaching methods in structural engineering. Professor Currie has led significant research projects including a KTP with Technocover (2017-2019). His industry experience spans a wide range of projects from £200m mixed-use developments and 50-storey buildings to innovative tensile fabric structures, deployable structures, and sustainable timber buildings. He has also contributed to advancing engineering education through the implementation of the inverted classroom approach for structures modules.

• Biomechanics
• Virtual Reality
• Motion Capture
• +4 more

Georges Dumont is a Professor at École Normale Supérieure de Rennes, where he serves as Scientific Director of the Immersia virtual reality platform and Project Manager of Immerstar. He previously held leadership positions as Scientific Manager of the MEDIA and INTERACTION department at IRISA-UMR6074 (2010-2016) and Director of the Mechatronics Department at ENS Rennes (2012-2016). Professor Dumont's research spans biomechanics, virtual reality, motion capture technologies, and human-computer interaction. His work bridges theoretical developments with practical applications in ergonomics, sports science, and virtual training environments. He has developed significant expertise in motion analysis, force estimation, and biomechanical modeling, with applications ranging from workplace design to athletic performance optimization. Analysis of his recent publications reveals a strong focus on applying virtual reality and motion capture technologies to solve real-world problems in ergonomics and sports biomechanics. His research demonstrates consistent productivity across multiple disciplines, with particular emphasis on developing computational methods for analyzing human movement and interactions with virtual environments. Professor Dumont's scientific contributions include: Development of methods for motion-based force and moment prediction Advancements in virtual reality applications for ergonomic assessment Biomechanical analysis of sports movements, particularly in diving Innovative approaches to muscle path modeling and biomechanical simulation His research program demonstrates strong continuity in applying computational methods to biomechanical problems, with recent work increasingly incorporating machine learning techniques. Professor Dumont maintains active collaborations across disciplines and institutions, contributing to the advancement of both theoretical understanding and practical applications in his fields of expertise. Professor Dumont leads the Immersia virtual reality platform, which provides state-of-the-art infrastructure for conducting research in human movement analysis and virtual environment interactions. His work with students and collaborators focuses on developing methods that translate biomechanical research into practical tools for workplace design, sports performance analysis, and rehabilitation engineering.

Brittany Nelson-CheesemanView profile

Professor

• Materials Science and Engineering
• Nanomaterials
• Electronic and Magnetic Materials
• +11 more

Brittany Nelson-Cheeseman is a Professor and Director of Materials Science and Engineering in the Mechanical Engineering Department at the University of St. Thomas' School of Engineering. She holds leadership responsibilities as Director while maintaining an active research program and teaching undergraduate and graduate courses in materials science and engineering. Her educational background includes: PhD in Materials Science and Engineering from University of California, Berkeley (with Designated Emphasis in Nanoscale Science and Engineering) MS in Materials Science and Engineering from University of California, Berkeley BS in Materials Science and Engineering from University of Wisconsin, Madison Nelson-Cheeseman's research focuses on novel composite materials for additive manufacturing, particularly magnetic elastomer smart materials that achieve remote contactless motion for soft robotic applications. Her expertise spans electronic and magnetic materials, nanomaterials, thin films, functional composites, 3D-printing, smart materials, and materials characterization. She has extensive experience utilizing national laboratory facilities across the US, particularly with synchrotron radiation techniques for materials characterization. Her work bridges fundamental materials science with practical applications in soft robotics, medical devices, and energy systems. Analysis of her recent publications reveals a clear research trajectory from fundamental studies of complex oxides and thin film heterostructures toward applied research in magnetic materials for additive manufacturing. Her work demonstrates increasing focus on 3D printed magnetic composites, with particular emphasis on controlling magnetic properties through printing parameters, infill patterns, and magnetic annealing techniques. This evolution shows her ability to translate fundamental materials knowledge into practical engineering applications. Her scientific recognition includes: Editor's Pick selection in AIP Advances (2022) APL Materials Editor's Pick (2014) PRB Editor's Suggestion (2010) Featured in Virtual Journal of Nanoscale Science and Technology (2010 and 2007) Nelson-Cheeseman is actively involved in engineering education, teaching courses including Engineering Materials, Smart Materials, and Materials Engineering. She serves as an advisor for the Senior Design Clinic in Peru, demonstrating her commitment to global engineering education. Her educational background includes postdoctoral research at Argonne National Laboratory and work at the Institut de Ciencia de Materials at the Universitat Autonoma de Barcelona. She has also participated in Semester at Sea, taking liberal arts courses while visiting 11 different countries, reflecting her passion for intercultural learning. Her research group develops novel composite materials for additive manufacturing, focusing on magnetic elastomer smart materials for soft robotic applications inside the human body or vessels. She maintains national and international collaborations and utilizes advanced facilities including oxide molecular beam epitaxy (MBE) at national laboratories.

Marian ŁupieżowiecView profile

Professor

• Soil Mechanics
• Geotechnical Engineering
• Foundation Engineering
• +3 more

Marian Łupieżowiec serves as Professor and Deputy Head of the Department of Geotechnics and Roads at the Faculty of Civil Engineering, Silesian University of Technology, with active roles in research, teaching, and university governance including prior service on the University Senate (2016-2020) and Faculty Council (2012-2018). His academic credentials include: Graduation in computational methods in structural mechanics (2000) Doctorate in Civil Engineering, Geodesy and Transportation (2004) Post-doctorate in Civil Engineering, Geodesy and Transportation (2022) His research centers on soil behavior modeling under complex load paths , foundations in challenging ground conditions , and slope/embankment stability analysis , addressing critical geotechnical challenges through computational and experimental approaches. This work directly informs his teaching in soil mechanics and advanced geotechnics. His publication record comprises 90 works including a monograph and 7 JCR-indexed articles (total IF=17,151), demonstrating sustained contributions to geotechnical literature with Scopus H-index 4 and Web of Science H-index 5. These publications reflect deep engagement with soil-structure interaction and failure mechanism analysis. Prestigious recognitions include: Minister of Regional Development and Construction Award for doctoral thesis (2005) RGH Rector's grant Silesian University of Technology pro-quality program award University Rector's award for scientific activity Professor Łupieżowiec has supervised 2 doctoral theses as associate supervisor, reviewed nearly 100 journal articles (primarily for Elsevier/Springer), and evaluated 4 doctoral dissertations. His grant leadership includes managing a KBN-funded project and contributing to two university collaborative grants. Professional impact extends to 318 industry expert reports and 18 court opinions in geotechnical disputes.