جست‌وجوی استاد و پژوهشگر

Divakaran Liginlalمشاهده پروفایل

استاد آموزشی

• Information Security
• Human-Computer Interaction
• Decision Support Systems
• +۵ مورد دیگر

Divakaran Liginlal (Lal) is a Teaching Professor of Information Systems at Carnegie Mellon University's Heinz College. With a Ph.D. from the University of Arizona and prior teaching experience at institutions including the University of Wisconsin-Madison, he has received multiple accolades including the Mabel Chipman Award for teaching excellence. His research focuses on information security, human-computer interaction, and decision support systems, with notable work on web accessibility, cultural adaptation in e-commerce, and healthcare privacy. Supported by organizations like Microsoft and Qatar Foundation, his interdisciplinary approach bridges technology, policy, and pedagogy. Education: Lal holds a B.S. in Telecommunication Engineering from CET, an M.S. in Computer Science from the Indian Institute of Science, and a Ph.D. in Management Information Systems from the University of Arizona. Research Interests: Lal's work spans information security frameworks, cross-cultural UX design, and digital governance. He explores how technology intersects with societal needs, particularly in aging populations and heritage preservation. Recent studies include AI applications for cultural archives and regulatory effectiveness in digital economies. Awards: In addition to teaching awards, he received the Lawrence J. Larson Grant for curriculum innovation and multiple grants supporting his research. His work has been published in JMIS, Communications of the ACM, and IEEE journals. Teaching & Grants: Supported by Microsoft, HP, and Qatar Foundation, his pedagogical innovations include case-method teaching and interdisciplinary collaborations between writing and information systems programs. He emphasizes problem-scoping in service-learning experiences to develop future IS leaders. Labs/Teams: Collaborates with Wikimedia on content collaboration studies and leads projects at CMU's Qatar campus focusing on digital governance challenges in the Arabian Gulf region.

• Numerical Analysis
• Partial Differential Equations
• Scientific Computing
• +۳ مورد دیگر

Prof. Dr. Willy Dörfler is a full professor at the Institute for Applied and Numerical Mathematics within the Faculty of Mathematics at Karlsruhe Institute of Technology (KIT). He leads the research group on Numerical Methods for Partial Differential Equations and teaches advanced courses including Adaptive Finite Element Methods and Modeling and Simulation of Li-Ion Batteries . His work focuses on numerical analysis, scientific computing, and multi-physics simulations. His research spans Partial differential equations with adaptive discretization Wave propagation and space-time methods Battery modeling with chemo-mechanical coupling Lattice Boltzmann techniques for fluid dynamics Applications in mechanics, optics, and electrochemistry as evidenced by his 15 most recent publications. These works emphasize finite element methods, discontinuous Galerkin approaches, and high-performance computing for complex systems. Contact: willy.doerfler@kit.edu | Office hours: Mondays 14:30–15:30 during lecture periods

• Physics Education
• Special Relativity Pedagogy
• Simulation-Based Learning
• +۲ مورد دیگر

Paul Alstein is a Lecturer at the Freudenthal Institute under the Faculty of Science , Utrecht University. His work focuses on integrating advanced physics concepts into secondary education through innovative methods. Research Interests: Special relativity pedagogy, simulation-based learning, thought experiments, and interdisciplinary approaches combining history/philosophy of science with education. Email: p.alstein@uu.nl His publications emphasize simulation tools for relativity education, inquiry-based learning , and conceptual understanding in secondary physics. Collaborations with Krijtenburg-Lewerissa & van Joolingen highlight his focus on digital education environments. Alstein’s recent 2025 article on time dilation simulations demonstrates his ongoing contributions to modernizing physics education through accessible technology.

• Civil Engineering
• Structural Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Dr. Nasim Akhtar is a Part-Time Assistant Professor in the Department of Civil Engineering at Kennesaw State University , where he focuses on structural engineering and computational mechanics. A licensed Professional Engineer (PE) and Structural Engineer (SE) in Georgia, he brings over two decades of experience in designing high-rise buildings and infrastructure in the US and Far East, including nuclear power plants and pressure vessel manufacturing systems. Education: Ph.D., Civil Engineering, Vanderbilt University (1989) M.S., Civil Engineering, Washington State University (1984) B.Sc., Civil Engineering, Bangladesh University of Engineering and Technology (BUET), 1980 (ranked 2nd in class) His research spans Finite Element Analysis , Structural Stability , and Advanced Materials , with applications in: Boundary layer dynamics in concrete/steel structures Buckling analysis of thin-walled and asymmetrical members Computational modeling of reinforced concrete and steel systems Damping behavior in timber structures Nuclear power plant engineering Pressure vessel design for industrial applications Recent publications highlight his work on finite element methods (p-Version/hp-Version), structural buckling , and material-specific damping , reflecting trends in computational mechanics and practical engineering design. Scientific Awards: Mechanical Engineering Merit Scholarship at BUET Full financial support from Washington State University Full financial support from Vanderbilt University Dr. Akhtar's professional background includes teaching at BUET and engineering roles in nuclear power plant consulting (Farley, Vogtle, Hatch), pressure vessel manufacturing, and iconic projects like the Four Seasons Hotel (55-story) and Bund Financial Center (47-story) . His work bridges academic research with real-world structural challenges.

Matthias Maischakمشاهده پروفایل

استاد

• Elliptic Boundary Value Problems
• Transmission Problems
• Signorini Problems
• +۱۰ مورد دیگر

Dr Matthias Maischak is a Reader in the Department of Mathematics at Brunel University London within the College of Engineering, Design and Physical Sciences . His research focuses on elliptic boundary value problems , transmission problems , Signorini problems , and variational inequalities , with emphasis on boundary and finite element methods , fast solvers , and adaptive algorithms . He is also a key developer of the MaiProgs software package, which implements advanced numerical techniques for engineering applications. Research Areas : Boundary Element/FEM Methods, Contact Mechanics, Adaptive Algorithms, High-Performance Computing, Retarded Potential Analysis Supervision : Ph.D. and MSc students in computational mathematics, including projects on shape analysis, discontinuous Galerkin methods, and boundary integral equations. Publications span topics like dual-dual formulations , FE-BE coupling , hp-adaptive methods , and error estimation in linear elasticity and acoustic fluid-structure interaction . He has co-authored works on nonlinear interface conditions and time-domain boundary element methods , with applications to microstructure analysis , elastoplastic contact , and singular perturbations .

Levent Ali Kavurmacıoğluمشاهده پروفایل

دانشیار

• Axial Flow Turbines
• Turbine Blade Design
• Aero-thermal Optimization
• +۵ مورد دیگر

Levent Ali Kavurmacıoğlu is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU). His research focuses on aerothermal optimization, turbine blade design, centrifugal pump performance, numerical fluid dynamics, and cavitation behavior. He has supervised 47 theses and holds an ORCID identifier (0000-0002-9981-8034). His recent work emphasizes turbine efficiency improvements through methods like film cooling hole optimization and secondary flow loss reduction. In centrifugal pump systems, he explores cavitation mitigation via Taguchi optimization and geometric adjustments. Collaborative projects include underwater vehicle flow analysis and automotive turbocharger compressor design. With 34 publications and 16 industry projects since 2001, his research has been cited over 563 times. Current projects (2021-2025) involve hydrodynamic coupling development, vacuum chamber design optimization, and diaphragm tank analysis using computational fluid mechanics. Key collaborations include work with Prof. Camci on turbine aerodynamics and Prof. Yumurtacı on pump cavitation studies. His lab specializes in experimental validation through PIV measurements and computational modeling.

Peter Münchمشاهده پروفایل

پژوهشگر

• High-performance computing
• Matrix-free computations
• Iterative solvers
• +۷ مورد دیگر

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.

Kirsten Walshمشاهده پروفایل

مدرس

• History and Philosophy of Science (HPS)
• Early Modern Science
• Philosophy of Science in Practice (PSP)
• +۴ مورد دیگر

Dr. Kirsten Walsh is a Lecturer in Philosophy at the University of Exeter's Department of Social and Political Sciences, Philosophy and Anthropology (SPSPA). She holds a PhD in History and Philosophy of Science from the University of Otago (2015) and previously served as Assistant Professor in Philosophy at the University of Nottingham (2016-2018). Her research bridges early modern science with contemporary philosophical analysis through the lenses of Integrated History and Philosophy of Science (iHPS) and Philosophy of Science in Practice (PSP), focusing particularly on Isaac Newton and the early Royal Society. Current positions: Philosophy Lecturer (University of Exeter), Associate Editor for Studies in History and Philosophy of Science (since July 2023) Key projects: British Academy Small Grant (2023-2025) for 'History and Philosophy of the Archive' examining archival practices shaping scientific history Research interests: Early modern scientific methodology, experimental philosophy, digital humanities, and the intersection of archival practices with historical narratives Scientific awards: British Academy Small Grant (2023-2025) Professional service: Honorary Secretary of the British Society for the Philosophy of Science (since July 2023), former roles in HOPOS and BSPS committees Personal: Competes in HYROX fitness events representing University of Exeter, collaborates with partner Adrian Currie (philosopher), and shares life with cat Misty via The ShadowFang Chronicles Instagram account

• Wave Energy Converters
• Marine Technology
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Claes Eskilsson is a researcher at Chalmers University of Technology , specifically in the Department of Mechanics and Maritime Sciences under the Marine Technology division. His work focuses on computational fluid dynamics (CFD) , wave energy converters , and mooring system dynamics for marine applications. Research Projects: MIDWEST: Multi-fidelity decision tools for wave energy systems (2015-2018) Assessment of tidal turbine noise pollution (2015-2016) Including nonlinear/viscous effects in wave energy modeling (2015-2017) Forankringslösninger for wave energy devices (2015-2017) SDWED: Structural design of wave energy devices (2013-2014) His research interests include: Computational modeling of marine systems Wave energy converter hydrodynamics High-order numerical methods (spectral/hp elements, Discontinuous Galerkin) Cavitation and erosion analysis in marine flows Multiphysics modeling of floating structures The publications span topics in wave energy converter dynamics, mooring system analysis, and CFD methodology. Key trends include 2013-2015 developments in spectral/hp element methods for coastal engineering, and 2015-2020 advancements in multi-fidelity modeling of ocean energy systems. He has collaborated extensively with institutions such as Royal Institute of Technology (KTH) , Lund University , and Technical University of Denmark (DTU) , with funding from agencies including the Swedish Energy Agency and Danish Energy Agency .

• Global Optimization
• Competitive Facility Location
• Discrete Optimization
• +۴ مورد دیگر

Assoc. Prof. Dr. Algirdas Lančinskas is a Senior Researcher and Associate Professor at Vilnius University's Faculty of Mathematics and Informatics, working within the Global Optimization Group at the Institute of Mathematics and Informatics. His academic career spans over a decade at Vilnius University, where he has progressed from Junior Researcher to his current position as Associate Professor and Chief Researcher on multiple projects. He maintains an active international research profile with collaborations across Europe. Doctor of Physical Sciences (Informatics, 09P), Vilnius University Institute of Mathematics and Informatics, 2013 Dissertation: Parallelization of random search global optimization algorithms Dissertation supervisor: Prof. Dr. (HP) Julius Žilinskas Dr. Lančinskas specializes in global optimization, particularly competitive facility location problems, discrete optimization, and parallel computing. His research bridges theoretical optimization methods with practical applications in business, spatial economics, and public health. He has made significant contributions to nature-inspired optimization heuristics, developing novel algorithms for solving complex location problems with applications ranging from business expansion strategies to pandemic testing protocols. His work often involves multi-objective optimization approaches and the development of efficient parallel algorithms to handle computationally intensive problems. Analysis of his recent publications reveals a strong focus on competitive facility location modeling, with particular expertise in discrete optimization problems where multiple competitors vie for market share. His research increasingly incorporates robustness considerations under uncertainty in customer behavior, reflecting the growing complexity of real-world location decisions. The integration of ranking-based approaches with traditional optimization techniques represents a distinctive methodological contribution across his work. Dr. Lančinskas actively supervises doctoral students and has served on multiple dissertation defense councils. His research is supported by significant funding from the Research Council of Lithuania and international collaborations through COST actions. He has led multiple research projects focused on optimization algorithm development and their applications. As a member of the Global Optimization Group, he contributes to Vilnius University's strong tradition in optimization research, collaborating closely with Prof. Julius Žilinskas and international partners across Spain, the UK, and other European institutions. His work exemplifies the institute's commitment to both theoretical advances and practical applications of optimization methods.

Lai Changquanمشاهده پروفایل

استادیار

• Additive and Advanced Manufacturing
• Nanomaterials and Nanotechnology
• Structural Engineering
• +۱۱ مورد دیگر

Lai Changquan is an Assistant Professor at Nanyang Technological University (NTU), holding positions in both the School of Mechanical & Aerospace Engineering and the School of Materials Science & Engineering. He is the Principal Investigator for the Advanced Materials Design and Synthesis (AMDS) Lab, which he established in November 2017, and received the prestigious Nanyang Assistant Professorship in 2022. Education: B.Eng in Mechanical Engineering, National University of Singapore (2009) M.Eng in Materials Science and Engineering, Massachusetts Institute of Technology (2010) Ph.D. in Advanced Materials for Micro- and Nano- Systems, National University of Singapore (2014) Dr. Lai's research spans multiple interdisciplinary fields with a focus on functional structural materials and waste valorization for circular economy applications. His work integrates design, materials science, and manufacturing innovation to engineer novel structures and surfaces. Key research areas include additive manufacturing, nanomaterials, metamaterials, structural batteries, sustainable materials, and machine learning applications in materials science. His lab has made significant contributions to the development of architected materials with exceptional mechanical properties and sustainable manufacturing processes, including turning wastepaper into battery anodes which was featured by the World Economic Forum. Analysis of Dr. Lai's recent publications reveals a strong focus on advanced materials design, particularly in structural metamaterials, additive manufacturing of metals and composites, and sustainable energy applications. His research increasingly incorporates machine learning techniques for materials prediction and optimization while maintaining experimental validation. There's a clear progression toward practical applications in renewable energy, particularly in battery technologies and sustainable manufacturing processes that align with circular economy principles. Scientific Awards: Nanyang Assistant Professorship (2022) Temasek Labs - Best Research Award (Bronze) (2021, 2022, 2023, 2024) Singapore Teaching and Academic Research Talent Scholarship (2021) Temasek Research Fellowship (2016) SMART Postdoctoral Fellowship (2015) Dr. Lai actively mentors a diverse group of graduate students and postdoctoral researchers in the AMDS Lab, including Po-Ju Chiang who became the lab's first PhD graduate in 2024. His research is supported by multiple grants through the HP-NTU Digital Manufacturing Joint Lab and other industry partnerships. He has successfully guided several PhD students through their research on topics including site-specific control of alloy properties through binder jet 3D printing and structural battery development. The Advanced Materials Design and Synthesis Lab maintains strong industry collaborations and has received significant media attention for its innovative work. The lab's research on sustainable materials has been featured in numerous international outlets including The Straits Times, Science Daily, and The Engineer (UK), demonstrating the real-world impact of their work on waste valorization and sustainable manufacturing technologies.

Philippe Fossatiمشاهده پروفایل

استاد

• Affective Neuroscience
• Social Neuroscience
• Psychiatry
• +۲ مورد دیگر

Philippe Fossati is a Professor of Psychiatry at Sorbonne University and Pitié-Salpêtrière Hospital (AP-HP), serving as co-head of the Social and Affective Neuroscience team at the Institute of Brain and Spinal Cord (ICM) in Paris. His work bridges clinical psychiatry with cutting-edge neuroscience to investigate how social interactions modulate emotional brain circuits. His academic foundation includes a PhD (1993) and neuroscience thesis (2001), establishing expertise in both clinical practice and fundamental research. These credentials underpin his leadership in affective and social neuroscience. Dr. Fossati's research program centers on neural mechanisms of emotional regulation within social contexts, integrating human studies with model organism approaches. His work examines how social processes activate and modulate emotional brain networks, with implications for understanding psychiatric disorders through the lens of social cognition and affective processing. Publication analysis from 2002-2020 reveals consistent focus on neurodevelopmental and genetic mechanisms using Drosophila models, evolving toward complex investigations of emotional and social brain functions. This trajectory demonstrates methodological sophistication in linking molecular/cellular neuroscience to higher-order emotional and social behaviors. He actively contributes to scientific discourse as a member of the French Association of Biological Psychiatry and ECNP Brain Imaging Network, while serving as scientific editor for the International Journal of Methods in Psychiatric Research. As leader of the Study of Emotions and Social Interactions team at ICM, he directs an interdisciplinary research unit that unites affective neuroscience, social neuroscience, and clinical psychiatry to advance understanding of emotional brain regulation in social contexts.

• Design Management
• Service Design
• Strategic Design
• +۳ مورد دیگر

Xenia Viladas is Adjunct Professor at IE University (Madrid) where she leads studio courses in the Bachelor in Design and the Master in Customer Experience & Innovation. A PhD in Design Management (Polytechnic University of Valencia) and MBA in Design Management (University of Westminster), she previously served as full-time Professor and Chair of Service Design at Savannah College of Art and Design (SCAD, 2014-2020), directing industry-sponsored projects for Fidelity, HP, Delta, Philips Healthcare, Disney, H-E-B and P&G whose student teams captured Red Dot, European Design Award and IDEA honors. Education PhD in Design Management, Polytechnic University of Valencia, 2008-2011 MBA in Design Management, University of Westminster, 2001-2003 BSc in Economics, University of Barcelona, 1975-1981 Research & Teaching Focus Viladas investigates how design acts as a strategic lever for competitive advantage and societal quality-of-life improvements. Her work integrates service-dominant logic, business-model innovation and human-centered methods to help organizations—especially SMEs—translate advanced management practices into profitable, sustainable services. At IE University she coaches multidisciplinary student teams tackling real corporate challenges, fostering experimentation with service prototypes, customer-journey mapping and systemic stakeholder alignment. Her pedagogical approach emphasizes iterative fieldwork, evidence-based decision making and cross-cultural collaboration within IE’s highly international campus. Industry Impact & Thought Leadership Beyond academia, Viladas maintains an active consultancy (xeniaviladas.today) advising start-ups and non-profits on service strategy. She is the author of Profitable Design and Design at Your Service (translated into English and Korean) and is currently completing a new volume on strategic service design. A frequent keynote speaker, she has addressed conferences across Europe, the Americas and Asia, advocating for public design policies that embed design capability into national innovation systems. Advising & Grants While specific doctoral advisees are not listed, Viladas has mentored hundreds of design students through capstone studios and collaborative industry grants totaling several hundred thousand euros in sponsorship from Fortune 500 partners during her SCAD tenure. Labs & Teams She previously directed the Service Design program at SCAD, coordinating seven consecutive collaborative learning studios per year, and now integrates IE University’s Fab-Lab and Venture Lab resources into her courses to accelerate prototype-to-market pathways.

Aurora Clarkمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics Simulations
• Data Science in Chemistry
• +۷ مورد دیگر

Aurora Clark is a Professor in the Department of Chemistry at Washington State University (2005-2022), with a Ph.D. from Indiana University (2003) and postdoctoral experience at Los Alamos National Laboratory (2003-2005). Her interdisciplinary research bridges computational chemistry, data science, and applied mathematics to understand complex chemical systems across multiple scales. Educational Background: Ph.D. in Chemistry, Indiana University (2003) Director's Postdoctoral Fellow, Los Alamos National Laboratory , Theory Division (2003-2005) Research Interests: Clark's laboratory employs atomistic simulations (ab-initio and classical molecular dynamics) combined with data science to characterize complex solutions and interfaces. Her work advances graph theory , topological data analysis , and machine learning to develop predictive models linking molecular-scale behavior to macroscopic properties. Key areas include: Industrial Processing Chemistry: Structure and reactivity of concentrated electrolytes for materials production, separations, and battery technologies Environmental and Health Applications: Interfacial chemistry for drug purification, environmental remediation, and green separations Interdisciplinary Mathematics: Novel applications of graph theory and topology in chemistry, including spectral graph theory and persistent homology Scientific Awards and Honors: Fellow, American Physical Society (2021) Fellow, American Association for the Advancement of Science (2019) Fellow, American Chemical Society (2017) WSU Young Faculty Performance Award WSU Mid-Career Award WSU Professional Service Award WSU Undergraduate Research Excellence Mentor Award Volunteer of the Year , Washington Idaho Border Section of ACS ACS HP Junior Faculty Award ACS PROGRESS/Dreyfus Lectureship Leadership and Service: Clark has held numerous leadership positions including Chair of the DOE Council on Chemical Sciences, Geosciences and Biosciences (2017-2021), Director of the WSU Center for Institutional Research Computing (2016-2022), and Director of the WSU-PNNL Nuclear Science and Technology Institute (2016-2019). She serves on editorial boards of Journal of Physical Chemistry , Journal of Chemical Physics , Solvent Extraction and Ion Exchange , and Computational and Theoretical Chemistry . Research Impact: Her recent publications (2022-2024) demonstrate cutting-edge work in surface chemistry, nanoparticle interactions, aluminate chemistry, and advanced mathematical methods for chemical analysis, with applications ranging from environmental cleanup to advanced materials design.

Gonzalo Rubio Calzadoمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• High-Order Numerical Methods
• Discontinuous Galerkin Methods
• +۴ مورد دیگر

Dr. Gonzalo Rubio Calzado is a Associate Professor at the Department of Applied Mathematics to Aerospace Engineering , part of the Universidad Politécnica de Madrid (UPM) . He is affiliated with the Research Group: Numerical Methods and Applications to Aerospace Technology and the Center for Research in Computational Simulation (CCS) at UPM. Bachelor's in Aeronautic Engineering (UPM, 2009) Master's in Aerospace Engineering (UPM, 2011) PhD in Aerospace Engineering (UPM, 2015) His research spans fluid dynamics, high-order numerical methods, and machine learning applications in CFD, with over 50 publications and an h-index of 15 (last 5 years). He focuses on: Discontinuous Galerkin (DG) methods Error estimation and hp-adaptation Turbulence modeling and LES Machine learning for flow simulations Multiphase flow analysis Industrial applications (aeronautics, energy systems) Recent publications emphasize machine learning integration with high-order DG solvers, turbulence modeling, and optimization techniques. His work includes collaborations with companies like REPSOL and AIRBUS, as well as national and European projects (SIMOPAIR, DeepCFD, HERFUSE, ROSAS). Scientific awards include the Extraordinary PhD Award (2015). He is the lead developer of the open-source HORSES3D high-order CFD project and contributes to energy measurement patents for building efficiency.