جست‌وجوی استاد و پژوهشگر

Paul Evansمشاهده پروفایل

دانشیار

• Educational Psychology
• Motivation
• Cognitive Load Theory
• +۳ مورد دیگر

Associate Professor Paul Evans holds a position in the School of Education at UNSW Sydney, specializing in Educational Psychology. His research focuses on motivation, instruction, and learning strategies in educational settings, with a particular emphasis on music education and cognitive load theory. He supervises a team of research students in the Cognitive Load and Motivation Lab and teaches across undergraduate and postgraduate programs. Paul's work integrates quantitative methodologies, including structural equation modeling and multilevel analysis, and he collaborates with over 20 international researchers. He serves on editorial boards for journals such as Journal of Research in Music Education and Educational Psychology . His educational background includes a PhD in Music Education from the University of Illinois at Urbana-Champaign, alongside master’s and bachelor’s degrees from the University of Western Australia and UNSW. His research spans theoretical and applied domains, addressing both foundational educational psychology principles and practical partnerships with schools and educational organizations. Paul’s teaching philosophy emphasizes student-centered approaches informed by his research on motivation and cognitive engagement. Current research students include Wei Sun, Yooie Choi, and others in the Cognitive Load and Motivation Lab. His past work includes studies on self-determination theory, deliberate practice, and music student well-being. Paul is actively involved in supervising doctoral candidates and contributing to the broader academic community through editorial and peer-review roles.

Rolf Wankaمشاهده پروفایل

استاد

• Algorithms
• Combinatorial Optimization
• Swarm Intelligence
• +۳ مورد دیگر

Prof. Dr. Rolf Wanka is a Professor at the Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specializing in efficient algorithms and combinatorial optimization. His research focuses on swarm intelligence, discrete optimization algorithms, and scheduling problems, particularly in timetabling and robotics applications. Education : Sc.D. (Dr. rer. nat.) in Computer Science His work includes theoretical and experimental analyses of particle swarm optimization (PSO) algorithms, addressing runtime complexity, stagnation behavior, and convergence properties. He has developed novel heuristics for timetabling and sorting problems, with applications in multi-robot systems and medical imaging. Notable collaborations include studies on Markov chain-based PSO and fairness in academic scheduling. Key trends in his recent publications span swarm intelligence , discrete optimization , and scheduling heuristics , with a focus on robust timetabling , runtime analysis , and stochastic algorithm behavior . While no explicit scientific awards are listed, his mentorship in the Max Weber-Programm highlights his advisory role in academia. His publications demonstrate interdisciplinary applications of algorithms in robotics , medical imaging , and parallel computing , leveraging both theoretical rigor and practical experimentation. The full description below provides exhaustive details on his academic contributions and affiliations.

• Textile Engineering
• Composite Materials
• Sustainable Textiles
• +۳ مورد دیگر

Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles

Jessica Swensonمشاهده پروفایل

استادیار

• Engineering Education
• Undergraduate Engineering Pedagogy
• Epistemological Framing
• +۴ مورد دیگر

Jessica Swenson is an Assistant Professor in the Department of Engineering Education at the University at Buffalo's School of Engineering and Applied Sciences. Her work focuses on engineering education methodologies, particularly in undergraduate conceptual knowledge development, Learning Assistant programs, and fostering inclusive environments for women and multilingual learners in engineering. She holds a PhD in Mechanical Engineering from Tufts University (2018), an MS in STEM Education, and a BS in Mechanical Engineering from Northwestern University (2010). Education: PhD, Mechanical Engineering, Tufts University, 2018 MS, Science, Technology, Engineering and Mathematics Education, Tufts University, 2013 BS, Mechanical Engineering, Northwestern University, 2010 Research Interests: Jessica explores engineering design processes, epistemological framing in student learning, and how affect and identity influence academic trajectories. Her work emphasizes equitable pedagogies for multilingual learners, team dynamics in design projects, and the role of power structures in stakeholder interactions. She investigates how open-ended problems and scaffolding techniques impact problem-solving skills and engineering judgment development. Key Themes in Publications: Recent work highlights the interplay between affect and identity in first-year engineering students, strategies for multilingual learners in K-12 settings, and the role of team accomplishment in fostering belongingness. She also examines how flexible classroom spaces and maker environments influence student engagement and identity formation. Awards & Grants: No awards explicitly listed. Current research initiatives focus on NSF-funded projects related to engineering education equity and pedagogical innovation. Labs & Teams: Engaged in interdisciplinary collaborations with aviation museums and pre-service teacher networks to develop authentic engineering assessments and inclusive curriculum designs.

Ilan Krooمشاهده پروفایل

استاد

• Multidisciplinary Optimization
• Aircraft Synthesis
• Unconventional Aircraft Design
• +۵ مورد دیگر

Dr. Ilan Kroo Academic Appointments: Thomas V. Jones Professor in Aeronautics and Astronautics at Stanford University's School of Engineering. Active in teaching and research since at least 1983 (PhD Stanford). Education: PhD in Aeronautics and Astronautics, Stanford University (1983). Research Focus: Multidisciplinary optimization and aircraft synthesis Unconventional aircraft configurations (e.g., joined wings, oblique wings) Low-speed aerodynamics: vortex wake analysis, induced drag computation Awards: Elected Member of the National Academy of Engineering (2013–Present). Teaching: Leads courses on aircraft design, applied aerodynamics, and sustainable aviation. Courses include AA 146A/B, AA 241A/B, and independent study modules. Students: Advises master's students William Ho, Sean Lin, Adrian Loekman, and Sebastian Monsalvo. Labs/Teams: Involved in NASA and industry-sponsored projects on computational aircraft design and transonic formation flight. Recent Work: Focus on pilot-induced oscillation mitigation, extended formation flight efficiency, and UAV swarm control. Active in publishing since 2009, with 116+ papers.

• Architectural Design
• Digital Fabrication
• Robotics in Wood Construction
• +۵ مورد دیگر

AnnaLisa Meyboom is an Associate Professor at the University of British Columbia’s School of Architecture and Landscape Architecture (SALA). As Director of the Transportation Infrastructure and Public Space Lab (TIPSlab), she bridges engineering and architecture through research on digital fabrication, autonomous vehicles, and responsive environments. Engineering from University of Waterloo Architecture from University of British Columbia Her research explores: Digital Wood Fabrication: Robotic construction techniques for large-scale timber structures. Autonomous Urbanism: Reimagining city layouts for self-driving vehicles. Responsive Architecture: Integrating technology into adaptive building systems. While her publications span from 2000 to 2022, recent works focus on infrastructure’s cultural value and future mobility systems. She has taught at institutions globally and led design-build initiatives across Canada. Co-founder of TIPSlab Featured speaker at international conferences Combines engineering rigor with architectural creativity

Janet Dongمشاهده پروفایل

استاد

• Robotics
• Autonomous Vehicles
• Advanced Manufacturing
• +۴ مورد دیگر

Janet Dong is a Professor in Mechanical and Materials Engineering at the University of Cincinnati and Director of the UC Center for Robotics Research. Her work spans robotics, autonomous systems, and advanced manufacturing with applications in healthcare, space exploration, and urban infrastructure. She holds a PhD in Mechanical Engineering from Columbia University. Her research integrates: Autonomous vehicles and mobile robots Dynamic systems control Medical device innovation Industry 4.0/5.0 technologies Robotic exoskeletons and augmentation Her recent publications focus on practical robotics applications including lunar rovers, tick collection robots, medical exoskeletons, and urban maintenance systems. Research trends emphasize autonomous navigation, human-robot collaboration, space exploration technologies, and biomechanical augmentation. She leads multiple funded projects including a $1.29M Department of Energy grant for waste sorting automation and Ohio Bureau of Workers Compensation grants for human-robot safety. Her lab develops robotic solutions for lunar infrastructure, medical devices, and industrial automation.

Aaron Bernsteinمشاهده پروفایل

دانشیار

• Graph Algorithms
• Dynamic Algorithms
• Sublinear Algorithms
• +۲ مورد دیگر

Aaron Bernstein is Charles S. Baylis Associate Professor in Computer Science at NYU Tandon School of Engineering. His research advances theoretical foundations of graph algorithms, with breakthroughs in dynamic algorithms, shortest path problems, and distributed computing. Research contributions: Pioneering work on near-linear time algorithms for shortest paths with negative weights Fundamental advances in dynamic graph algorithms for connectivity and matching Innovative frameworks for distributed load balancing and network optimization Breakthroughs in maximum flow and matching problems Publications demonstrate consistent theoretical innovation with numerous best paper awards at top theory conferences. Recent work resolves long-standing open problems in graph algorithms and establishes new algorithmic paradigms. Current research group includes PhD students working on graph algorithms and distributed computing. Recipient of prestigious awards including Presburger Award and Sloan Research Fellowship. Research funded by NSF CAREER grant and Google Research Scholar award.

Cynthia F. Mossمشاهده پروفایل

استاد

• Sensory coding
• Auditory neuroscience
• Spatial perception
• +۶ مورد دیگر

Cynthia F. Moss is a Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University (JHU), with joint appointments in Neuroscience and Mechanical Engineering. She directs the Comparative Neural Systems and Behavior Laboratory (Bat Lab), investigating neural mechanisms of sensory perception and spatial navigation in echolocating bats. Her work combines neurophysiology, behavioral ecology, and engineering to study how bats process auditory information for navigation, communication, and obstacle avoidance. Dr. Moss earned a B.S. (summa cum laude) from the University of Massachusetts, Amherst, and a Ph.D. from Brown University. She held prior faculty positions at Harvard University and the University of Maryland, where she directed the Neuroscience and Cognitive Science graduate program. Her research has received prestigious awards including the Hartmann Award (2017), James McKeen Cattell Award (2018), and Alexander von Humboldt Research Prize (2019). Her research focuses on sensory coding of natural stimuli, spatial perception, attention, and adaptive motor control. Key findings include discoveries about 3D auditory space representation in the midbrain, age-resistant hearing in bats, and the role of wing hairs in flight control. Her lab employs innovative techniques like wireless neural recording, two-photon imaging, and DREADDs-mediated inactivation to study neural circuits. Dr. Moss collaborates across disciplines, bridging neurobiology, robotics, and sensory systems engineering. Her work informs biomimetic technologies for sonar navigation and adaptive control systems. She actively mentors students and postdocs in the Krieger School of Arts and Sciences, Whiting School of Engineering, and School of Medicine at JHU.

Martin Servinمشاهده پروفایل

دانشیار

• Digital Physics
• Computational Modelling
• Robotics
• +۳ مورد دیگر

Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics. Research Interests : Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction. Key Projects : Mistra Digital Forest (2019–2026) AILUR (Digital Twin for AI-controlled Lunar Robotics) XSCAVE (Explainable, Safe Control for Heavy Machinery) Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling. Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018) , recognizing his role in Algoryx Simulations, a spin-off company commercializing his research. Labs/Teams : UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.

Matthias Beckerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Simulation and Modeling
• Distributed Systems
• +۶ مورد دیگر

Matthias Becker is a Professor at the Institute for Practical Computer Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, where he has been a core member of the Human-Computer Interaction group since 2019. He serves as Internship Coordinator for Computer Science and Computer Engineering and holds key roles in the Computer Science Examination Board and Selection Committee, actively shaping academic governance and student development. His academic journey began with PhD studies at the University of Bremen (1996-2000) supported by a DFG grant, followed by a postdoctoral permanent position at Leibniz University Hannover (2000-2019), an Associated Assistant Professor role at École des Mines de Nantes (2000), and a Habilitation in Computer Science in 2013. This foundation enabled his transition to a full professorship in 2019. Becker's research spans Human-Computer Interaction, Simulation and Modeling, and Bio-inspired Computing, with applications in agriculture, renewable energy, and manufacturing. His work integrates distributed systems, optimization algorithms, and wireless sensor networks to solve complex real-world problems, such as greenhouse monitoring, wind farm logistics, and tire noise reduction. Recent publications reveal a strategic focus on practical validation of simulation models and cross-domain applications of nature-inspired algorithms. His 15 most recent publications (2018-2024) demonstrate consistent innovation in applying simulation techniques to offshore wind farm installation, agricultural pest management, and sports science. These works emphasize real-world validation, collaborative problem-solving, and the development of domain-specific optimization frameworks that bridge theoretical algorithms and industrial implementation. As Internship Coordinator, Becker facilitates critical industry-academia connections for students, while his examination board responsibilities ensure rigorous academic standards. His leadership in the Human-Computer Interaction group drives research on interactive systems for agriculture, energy, and health, with particular emphasis on user-centered design in complex operational environments like wind farm logistics and greenhouse automation.

Tamara Bidoneمشاهده پروفایل

استادیار

• Biophysics
• Molecular Dynamics Simulations
• Coarse-graining
• +۴ مورد دیگر

Tamara Bidone serves as an Assistant Professor of Biomedical Engineering and Adjunct Assistant Professor of Biochemistry and Molecular Pharmaceutics at the University of Utah, conducting interdisciplinary research through the Bioscience Programs with emphasis on computational approaches to biological macromolecules and cellular mechanics. Her academic foundation includes: B.S. from Polytechnic University of Turin, Italy M.S. from Polytechnic University of Turin, Italy Ph.D. from Polytechnic University of Turin, Italy Dr. Bidone's research program centers on elucidating structure-function relationships in biological macromolecules, particularly adhesion proteins and their role in cellular dysfunction and disease. She develops and applies advanced computational methodologies including molecular dynamics simulations, coarse-graining techniques, Brownian dynamics, and agent-based mesoscale modeling to investigate molecular and macromolecular dynamics. Her work spans biophysics, computational biology, and cellular mechanics with specific focus on integrin-mediated adhesion, cytoskeletal dynamics (actin and microtubules), and mechanical regulation of cellular processes. Analysis of her 15 most recent publications (2023-2025) reveals a dominant trend in computational modeling of cellular adhesion mechanisms and cytoskeletal dynamics. Key thematic areas include integrin activation pathways (particularly αIIbβ3), microtubule tip mechanics, actin bundle formation, and data-driven approaches integrating machine learning with biophysical simulation. Her methodological innovations feature generative modeling, manifold learning, and equation-free dynamics applied to complex protein systems, providing critical insights into force-regulated conformational changes and disease mechanisms. While no specific laboratory name is provided in available materials, her research contributes significantly to computational biosciences at the University of Utah, advancing fundamental understanding of cellular mechanics through sophisticated simulation frameworks that bridge molecular and cellular scales.

Michael Ferrisمشاهده پروفایل

استاد

• Optimization
• Algorithms
• Computational Economics
• +۳ مورد دیگر

Michael Ferris is a Professor at the University of Wisconsin-Madison, holding the John P. Morgridge Chair in Computer Sciences and a courtesy appointment in Mathematics. His primary affiliation is with the Department of Industrial and Systems Engineering, and he serves as Director of Hub Central at the Wisconsin Institutes for Discovery. He earned his PhD from the University of Cambridge in 1989. His research focuses on algorithms, environments, and applications of optimization, with contributions to complementarity solvers, large-scale variational inequalities, and mathematical programming. Key areas include energy systems, economics, and engineering applications such as radiation therapy and transportation. Ferris has developed influential software tools like the PATH solver for complementarity problems and interfaces for optimization frameworks like AMPL and GAMS. Notable awards include SIAM Fellow, INFORMS Fellow, and the Beale-Orchard-Hays Prize. He has advised numerous PhD students and contributed to significant projects, including optimizing Great Lakes fishery barrier removal and modeling the energy transition. His work bridges theoretical optimization with practical applications, impacting policy, technology, and environmental conservation.

Florencia Malamudمشاهده پروفایل

پژوهشگر

• Neutron Imaging
• Materials Science
• Crystallography
• +۳ مورد دیگر

Florencia Malamud is a Researcher and Instrument Scientist at the Paul Scherrer Institute (PSI), leading the POLDI instrument in the Laboratory for Neutron Scattering and Imaging. Her work focuses on advanced neutron-based techniques for material characterization, including Bragg edge imaging, diffraction contrast imaging, and texture analysis. She specializes in studying crystallographic structures, phase transformations, and mechanical behaviors in materials such as high-Mn steels, superalloys, and superconductors. Her research integrates experimental methods like neutron diffraction and tomography to investigate industrial materials (e.g., additive manufacturing components) and historical artifacts (e.g., Napoleonic-era copper bolts). Key areas include optimizing material properties through composition and processing, and understanding deformation mechanisms in metallic materials. Malamud’s publications span materials science, metallurgy, and neutron scattering applications. She collaborates on projects involving nuclear-grade materials, aerospace alloys, and archaeological metallurgy. Her work emphasizes bridging fundamental physics with applied engineering challenges. No scientific awards are explicitly mentioned. Her advising and grants are not detailed in the provided texts. She is affiliated with PSI’s neutron scattering laboratory and contributes to instrumentation development for advanced materials research.

Naveed Ashrafمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Automotive Engineering
• Vehicle Braking Systems
• +۳ مورد دیگر

Dr. Naveed Ashraf is a Senior Lecturer in the Department of Engineering at Manchester Metropolitan University, specializing in automotive and mechanical engineering. With over 20 years of research experience, his work focuses on vehicle braking systems, noise-vibration-harshness (NVH), and braking instabilities. He has contributed to numerous international conferences and peer-reviewed journals, addressing issues like brake squeal, disc-pad interface dynamics, and friction-induced vibrations. His professional memberships include the Institution of Mechanical Engineers (IMechE) and he holds Fellow status with the Higher Education Academy (UK). Dr. Ashraf teaches courses such as Engineering Mathematics, Experimental Mechanics, and Solid Mechanics and Dynamics at both undergraduate and postgraduate levels. Research Highlights: His research emphasizes the interplay between disc-pad interface dynamics and noise generation, with notable projects on stick-slip vibrations, pressure distribution measurement, and rotor asymmetry for noise reduction. He has pioneered methods to analyze dynamic center of pressure and its impact on brake performance. Awards and Professional Affiliations: Recognized as Chartered Engineer (CEng) and Fellow of the Higher Education Academy, he has also served as an external examiner and course assessor for multiple UK universities. Teaching Responsibilities: He contributes to the BEng (Hons) Mechanical Engineering program, delivering core modules that bridge theoretical principles with practical engineering challenges.