جست‌وجوی استاد و پژوهشگر

Raymundo Arróyaveمشاهده پروفایل

استاد

• Computational Materials Science
• Materials Thermodynamics
• Materials Kinetics
• +۴ مورد دیگر

Raymundo Arróyave serves as Professor and Associate Department Head for Research in the Department of Materials Science & Engineering at Texas A&M University, holding the Chevron Professor II distinction and multiple university fellowships including Presidential Impact Fellow and Chancellor EDGES Fellow. He maintains affiliated faculty appointments in Industrial & Systems Engineering and Mechanical Engineering. Educational Background: Ph.D. in Materials Science from Massachusetts Institute of Technology M.S. in Materials Science and Engineering from Massachusetts Institute of Technology B.S. in Mechanical and Electrical Engineering from Instituto Tecnológico y de Estudios Superiores de Monterrey Research Focus: Dr. Arróyave's computational materials science research integrates atomic-scale simulations with thermodynamic and kinetic modeling to predict material behavior. His work spans phase field methods for microstructure evolution, materials informatics, ICME frameworks, and physics-based design of functional materials including lead-free alloys, high-temperature ceramics, shape memory systems, and nuclear materials. Key phenomena investigated include interfacial thermodynamics, phase transformation kinetics, and thin-film stability. Publication Trends: Analysis of his 2012-2014 publications reveals concentrated expertise in computational modeling of soldering metallurgy (particularly Pb-free systems) and shape memory alloys. His work bridges CALPHAD thermodynamic databases with phase field kinetics to predict intermetallic compound evolution in electronic joints and microstructural characteristics in Ni-Ti-Hf/Zr systems, demonstrating strong alignment with industrial applications in electronics and aerospace. Scientific Recognition: FMD Journal of Electronic Materials Best Paper Award (2014) TMS EMPMD Distinguished Service Award (2014) Mexico National System of Researchers Level II Membership (2013-2018) Texas A&M Engineering Experiment Station Young Faculty Fellow (2012) NSF CAREER Award (2010) TMS Young Leader Internship (2006) American Welding Society Graduate Fellowship (2002-2003) Research Leadership: As Associate Department Head for Research, Dr. Arróyave directs departmental research strategy while maintaining active NSF-funded projects including his CAREER award on computational thermodynamics. His collaborations span the Materials Science & Engineering department and affiliated engineering disciplines, with emphasis on translating computational models to industrial applications in electronics manufacturing and high-temperature materials. Research Ecosystem: His work operates within Texas A&M's computational materials infrastructure, leveraging university-wide resources for high-performance computing and materials characterization. Current projects focus on integrating machine learning with physics-based models for accelerated materials discovery, particularly in soldering reliability and shape memory alloy design.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

• Glass Science
• Optical Materials
• Radiation Shielding
• +۳ مورد دیگر

Manuela Reben serves as a Professor at AGH University of Science and Technology in Kraków, Poland, within the Faculty of Materials Science and Ceramics. Her primary appointment is in the Department of Glass Technology and Amorphous Coatings, with office space in building A-3, room 222. She holds the significant administrative role of Vice-Dean of the Faculty of Cooperation and participates in multiple governance bodies including the Chemical Engineering Discipline Council, Faculty College, University Senate, and Senate Committee on Science. Her research centers on advanced glass systems with specialization in optical materials , radiation shielding composites , and waste glass valorization . Key investigations include structural characterization of rare earth-doped tellurite and phosphate glasses, development of novel compositions for photonic applications, and utilization of industrial glass wastes in sustainable construction materials. Her work bridges fundamental materials science with practical engineering solutions for laser technology, nuclear shielding, and eco-friendly building products. Analysis of her recent publications (2022-2025) reveals dominant research trajectories in three interconnected domains: (1) Engineering phosphate/tellurite glass matrices doped with rare earth ions for broadband optical amplifiers and laser gain media; (2) Developing radiation-shielding glasses with optimized attenuation properties for medical and nuclear applications; (3) Transforming industrial glass wastes into functional construction materials through sintering process optimization. These efforts demonstrate consistent innovation in glass composition design and property tailoring. Scientific awards: No awards documented in available sources. Advising activities and research grants are not specified in current documentation, though her leadership roles suggest significant mentorship responsibilities. Her departmental affiliation indicates active participation in collaborative research teams focused on glass technology and amorphous materials development.

• Quantum Information
• Quantum Computing
• Quantum Many-Body Physics
• +۹ مورد دیگر

Univ.-Prof. Dr. Norbert Schuch is a Professor of Physics and Mathematics at the University of Vienna, leading the Quantum Information and Quantum Many-Body Physics group. His research bridges Quantum Information Theory, Quantum Computing, and the study of complex quantum many-body systems, with a focus on Tensor Networks, Topological Order, and Symmetry Breaking. He has offices at both the Faculty of Physics (Boltzmanngasse 9) and Faculty of Mathematics (Oskar-Morgenstern-Platz 1). Research Interests : Quantum Information at the interface of Many-Body Physics, including Entanglement Theory, Topological Quantum Computation, Tensor Network algorithms, and Symmetry-Protected Topological (SPT) phases. His work develops numerical and analytical frameworks to study entanglement order parameters and prepare/experiment with topological states in quantum simulators. Teaching : Courses on Quantum Information, Quantum Computing, Theoretical Physics, and seminars on quantum many-body topics. Prior to Vienna, he was a tenured group leader at Max-Planck-Institute of Quantum Optics and a lecturer at Technical University Munich. Scientific Awards : ERC Consolidator Grant SEQUAM (2020–2025) FWF ESPRIT Programme ESP 306 FWF SFB BeyondC FWF Entanglement Order Parameters Research Trends : His recent publications explore Quantum Algorithms, Tensor Networks for Topological Phase Transitions, Entanglement Spectra, and Symmetry-Protected Phases. Key subfields include Non-Abelian Anyons, Chiral Spin Liquids, and Computational Complexity in Many-Body Systems. Group Members : Current team includes postdocs like Dr. Ilya Kull and Dr. András Molnár, with historical alumni spanning PhDs, Masters, and BSc students now at institutions like Xanadu, MIT, and Quantinuum.

Jonas Rubensonمشاهده پروفایل

استاد

• Biomechanics
• Locomotion
• Muscle Physiology
• +۳ مورد دیگر

Jonas Rubenson is a Professor of Kinesiology in the Department of Kinesiology, College of Health and Human Development, at The Pennsylvania State University. His research focuses on the mechanics and energetics of locomotion, in vivo skeletal muscle function, and musculoskeletal structure-function relationships. Ph.D., 2005, Biomechanics, The University of Western Australia B.Sc. (Hon), 1998, Exercise Physiology, The University of Western Australia B.Sc., 1996, Biology and Human Kinetics, University of British Columbia His research integrates experimental and modeling approaches to study gait and skeletal muscle function during locomotion in both health and disease/impairment. Key areas include the relationship between joint and muscle mechanics and metabolic energetics, as well as mechanisms underlying locomotor adaptation and optimization. Recent publications emphasize locomotor plasticity, tendon stress in hopping kangaroos, and musculoskeletal modeling in birds and bipedal models. Rubenson collaborates with research centers such as the Integrative and Biomedical Physiology and the Center for Movement Science and Technology . His work often involves interdisciplinary approaches, combining biomechanics, physiology, and robotics. Current research projects investigate principles of muscle function during movement, with applications in understanding locomotion in extinct theropod dinosaurs and developing legged robots. His team also explores developmental plasticity of locomotor economy and swing-phase mechanics in avian models.

E. Bryan Coughlinمشاهده پروفایل

استاد

• Polymer Chemistry
• Materials Science
• Sustainable Polymer Chemistry
• +۲ مورد دیگر

E. Bryan Coughlin serves as a Professor in the Department of Polymer Science and Engineering at the University of Massachusetts Amherst, where his research program focuses on tailoring chemical functionality to develop advanced polymeric materials for demanding applications. His work bridges fundamental synthesis with practical material characterization to address critical challenges in energy, sustainability, and safety. His academic foundation includes: B.A. in Chemistry from Grinnell College (1988) Ph.D. in Chemistry from the California Institute of Technology (1993) Professor Coughlin's research spans five interconnected domains: ion transport mechanisms in organic media for next-generation fuel cells and batteries; polymer upcycling strategies to overcome the durability-recyclability paradox of modern plastics; precision synthesis of architecturally complex block copolymers via controlled polymerization and single-molecule insertion; development of fire-resistant polymers for transportation safety; and creation of nanoscale inorganic-organic hybrid materials using silsesquioxanes and boron clusters. This multidisciplinary approach emphasizes iterative design cycles where characterization directly informs synthetic refinements. Analysis of his recent publication record reveals a dominant focus on block copolymer architectures for energy applications, particularly anion exchange membranes with tunable chemical stability. His group demonstrates exceptional expertise in polymer upcycling—especially chemical valorization of waste polyolefins—and employs advanced techniques like thiol-ene click chemistry to functionalize backbone polymers. The consistent themes across his work include manipulating nanoscale morphology through molecular design, optimizing ion transport pathways, and balancing material performance with environmental sustainability.

M Reza Kholghyمشاهده پروفایل

دانشیار

• Industrial Decarbonization
• Hydrogen Production
• Carbon Dioxide Conversion
• +۷ مورد دیگر

Dr. M Reza Kholghy is an Associate Professor and Canada Research Chair in Particle Technology and Combustion Engineering at Carleton University's Department of Mechanical and Aerospace Engineering. He directs the Energy and Particle Technology Laboratory (EPTL) where he focuses on sustainable industrial solutions. His academic credentials include a BASc in Aerospace Engineering from Sharif University of Technology, and MASc/PhD degrees in Mechanical Engineering from the University of Toronto, followed by postdoctoral work at ETH Zurich. Research interests center on: Industrial decarbonization through metal fuel combustion (aluminum/iron) and carbon management Hydrogen production via methane pyrolysis and metal-water reactions Advanced material synthesis including flame spray pyrolysis for catalytic films and alumina production Nanoparticle engineering with focus on soot formation dynamics and optical properties His publications predominantly explore nanoparticle synthesis mechanisms, soot formation modeling, and sustainable fuel technologies, with recent emphasis on hydrogen cogeneration and metal combustion. Experimental and computational approaches are equally represented across combustion diagnostics, reactor design, and molecular dynamics simulations. Major scientific recognitions include: Canada Research Chair (Tier 2) Vanier Canada Graduate Scholarship NSERC Postdoctoral Fellowship He leads the Energy and Particle Technology Laboratory with industry partnerships focused on sustainable technology development. The lab specializes in flame spray pyrolysis reactors, nanoparticle characterization (surface area, porosity, composition), and high-pressure reaction systems. Dr. Kholghy actively mentors students through capstone projects and research positions, though specific PhD/Master's advisees aren't named in available sources.

Zahra Aminzareمشاهده پروفایل

دانشیار

• Mathematical Biology
• Dynamical Systems
• Nonlinear Dynamics
• +۳ مورد دیگر

Zahra Aminzare is an Associate Professor of Mathematics at the University of Iowa. She is affiliated with the Department of Mathematics within the College of Liberal Arts and Sciences. Her research focuses on Mathematical Biology and Dynamical Systems, with emphasis on modeling biological systems such as cellular homeostasis, insect locomotion, and neural oscillators. She holds a PhD from Rutgers University. Her work explores topics including synchronization in nonlinear networks, stochastic processes in biological systems, and the application of contraction theory to stability analysis. Notable contributions include studies on ion transport dynamics, bacterial chemotaxis, and phase reduction in noisy oscillators. Her research bridges mathematical methodologies with biological phenomena, addressing questions related to system robustness and emergent behaviors. Aminzare’s publications span across journals and conferences, with recent work addressing rhythmicity in insect locomotion, spike-generation mechanisms in multi-timescale systems, and stochastic synchronization in networked systems. She maintains an active research lab focused on interdisciplinary applications of dynamical systems theory.

Mihai Nicaمشاهده پروفایل

استادیار

• Deep Neural Networks (DNNs)
• Probability Theory
• Stochastic Processes
• +۴ مورد دیگر

Prof. Mihai Nica is an Assistant Professor in the Department of Mathematics and Statistics at the University of Guelph, affiliated with the CARE-AI institute and Vector Institute. His research focuses on probability theory, stochastic processes, and their applications to machine learning, particularly deep neural networks (DNNs). He explores scaling limits of DNNs, numerical methods using neural networks, and phase transitions in high-dimensional learning problems. Education: B.Math in Pure & Applied Math with Physics Option, University of Waterloo PhD in Mathematics, Courant Institute of Mathematical Sciences, New York University Postdoctoral Fellow at University of Toronto (supervised by Jeremy Quastel) Research Interests: His work bridges mathematical theory and practical AI applications, emphasizing topics like the neural tangent kernel, KPZ universality class, and stochastic processes in machine learning. Notable contributions include studies on neural network dynamics, random matrices, and directed polymers. Publications: Over 15 peer-reviewed articles in journals like Communications in Pure and Applied Mathematics and Electronic Journal of Probability , with a focus on theoretical foundations of AI and stochastic systems. Recent work explores infinite-width limits of neural networks and their connections to differential equations. Labs/Teams: Affiliated with CARE-AI (bridging mathematics, engineering, and philosophy) and the Vector Institute, fostering interdisciplinary collaborations.

Marion K. Matters-Kammererمشاهده پروفایل

استاد

• Terahertz Technology
• Millimeter-Wave Systems
• Integrated Circuits Design
• +۳ مورد دیگر

Marion K. Matters-Kammerer is a Full Professor of Electrical Engineering at Eindhoven University of Technology, leading research in terahertz (THz) and millimeter-wave systems. She holds positions in the Center for Wireless Technology, THz Electronics and Integration Lab, and RF Sensing & Communication Lab. Her expertise includes integrated circuits, antenna design, and power amplifier systems. She has led EU projects like 3DmicroTune and ULTRA, and co-authored over 70 journal/conference papers with 13 US patents. Education: MSc in Physics from École Normale Supérieure (Paris) and TU Berlin (1999), PhD in Physics from RWTH Aachen (2007). Past roles include Senior Scientist at Philips Research (1999–2011) and Guest Professor at RWTH Aachen (2009–2010). Research focuses on THz spectroscopy, mm-wave integrated circuits, and energy-efficient wireless systems. Key projects involve THz biosensing, 60 GHz sensor networks, and co-integration of photonics and electronics. Her work addresses UN SDGs like affordable and clean energy, and industry-academia collaboration via NXP Smart Mobility projects. Recent articles highlight advancements in mm-wave power amplifiers, waveguide integration, and radar signal processing. Grants include €2.5M for TeraIBs (2025–2028) and €1.8M for Future Wireless Interfaces (2024–2029). Labs include THz Electronics Lab and RF Sensing Team, advancing sensor and communication technologies.

Ilja K. Voetsمشاهده پروفایل

استاد

• Soft Matter Physics
• Polymer Science
• Colloidal Self-Assembly
• +۶ مورد دیگر

Ilja K. Voets is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of Chemical Engineering and Chemistry, leading the Self-Organizing Soft Matter research group. She is also a Core member of the Institute for Complex Molecular Systems (ICMS). Her academic journey began at Wageningen University & Research where she earned her PhD cum laude in 2008, followed by postdoctoral research at the Aldolphe Merkle Institute in Switzerland. Since 2011, she has been at TU/e, becoming a full professor in 2018. Her educational background includes Molecular Sciences at Wageningen University & Research, with a PhD focusing on micellisation in dilute aqueous solutions of oppositely charged double hydrophilic block copolymers. She was supervised by dr. Arie de Keizer and prof. Martien A. Cohen Stuart. Professor Voets leads an interdisciplinary team of chemists, physicists, biologists, and engineers studying self-assembly processes in biological soft matter. Her research focuses on colloidal self-organization, polymer assembly and folding, and protein biophysics, with particular interest in ice-binding proteins that help organisms survive in extreme cold environments. She investigates how to control intra- and intermolecular copolymer assembly to develop novel functional soft materials, artificial enzymes, and strategies to enhance colloidal stability. A key challenge in her work involves orchestrating colloidal self-assembly with remote cues such as light and temperature. Her recent publications reveal a strong focus on antifreeze proteins, colloidal assembly, and nanoparticle technology, with significant contributions to understanding ice-binding mechanisms and developing novel soft materials. The research demonstrates consistent high-impact output across prestigious journals including PNAS, Angewandte Chemie, and Biomacromolecules. Ambizione Award (2010) : Recognizing early-career research excellence DMS Science and Technology Award (2009) : For significant contributions to materials science ERC Consolidator Grant (2021) : Supporting advanced research in ice-binding protein-polymers Ice-binding protein-polymers project (2016) : Focused on control over ice growth in soft materials Innovative peptide system award (2019) : For novel drug targeting approaches Professor Voets supervises numerous research projects and students, teaching courses including Biological Physics, Physical Chemistry, and Experimental Soft Matter. Her research group is affiliated with the Institute for Complex Molecular Systems, Eindhoven Polymer Laboratories, and the Gravity Program Functional Molecular Systems. Industry collaborations include DSM, Kemetyl, and Unilever, demonstrating the practical applications of her fundamental research. Her work contributes significantly to UN Sustainable Development Goals related to responsible consumption, climate action, and life below water.

• Power Systems
• Renewable Energy
• Electrical Engineering
• +۳ مورد دیگر

Ali Kharrazi is a Senior Lecturer in the Department of Electrical, Electronic and Computer Engineering at the University of Western Australia (UWA), School of Engineering. His expertise focuses on power systems, renewable energy integration, and smart grid technologies. He holds a Doctoral Thesis titled 'Analysis and Management of Active Distribution Network with Distributed Energy Resources' (2021). Research Interests: Electric Power Distribution Voltage Unbalance Mitigation Photovoltaic (PV) System Impact Analysis Discrete Event Simulation for Grid Control Smart Grid Technologies Supervisory Control Systems Recent work emphasizes voltage stability in distribution networks, decentralized control strategies, and renewable energy impacts. His studies often involve real-world case analyses, such as a Western Australia residential network. Collaborations focus on energy systems and distributed resource management. Grants and advising details are not explicitly documented in the provided texts.

• Biomaterials Engineering
• Biomedical Engineering
• Biomineralization
• +۶ مورد دیگر

Dr. Liza-Anastasia DiCecco is an Assistant Professor in the Department of Systems Design Engineering at the University of Waterloo, where she leads the Regenerative Biomaterials Innovation Group. Her research focuses on biomimetic implant development for hard tissues, biomineralization processes, and advanced materials characterization using liquid phase electron microscopy. She holds a PhD in Materials Engineering from McMaster University and completed postdoctoral training at Penn State University supported by the NSERC Banting Fellowship. Education: PhD, Materials Engineering, McMaster University (2023) MASc, Materials Engineering, University of Windsor (2019) BASc, Mechanical Engineering, University of Windsor (2017) Research Interests: Biomaterials design for musculoskeletal applications Biomineralization mechanisms at organic-inorganic interfaces In situ liquid transmission electron microscopy (TEM) for dynamic material analysis 3D printing of functionalized medical implants Computational modeling of biomaterial behavior Awards & Recognition: 2023 NSERC Banting Postdoctoral Fellowship 2019-2022 NSERC Vanier Canada Graduate Scholarship 2024 M&M Microanalysis Society Creative Canvas Award 2023 McMaster University Fall Valedictorian Professional Affiliations: Councillor-At-Large, Microscopy Society of Canada Core Member, Waterloo Institute for Nanotechnology Member, Canadian Biomaterials Society Lab Focus: The DiCecco Team develops novel biomaterial characterization workflows linking atomic-to-macro scale structures, with emphasis on hydrated environments. Current projects explore titanium-based implants with genistein coatings and collagen mineralization mechanisms.

Suchuan Dongمشاهده پروفایل

استاد

• Computational and Applied Mathematics
• High-Order Numerical Methods
• Multiphase Flows
• +۷ مورد دیگر

Suchuan Dong is a Professor in the Department of Mathematics at Purdue University , affiliated with the Center for Computational and Applied Mathematics . His work bridges Computational Mathematics and Machine Learning , focusing on High-Order Numerical Methods and Multiphase Flows . Academic Background Post-Doc in Applied Mathematics, Brown University (2004) Ph.D. in Mechanical Engineering, SUNY Buffalo (2001) M.S. in Physics, Zhejiang University (1995) B.S. in Aerospace Engineering, National University of Defense Technology (1992) His research centers on Neural Network-Based Numerical Methods and Data-Driven Scientific Computing , with applications to Computational Fluid Dynamics , Contact Line Dynamics , and High-Performance Computing . Publications highlight Physics-Informed Neural Networks , Energy-Stable Schemes , and Extreme Learning Machines for PDEs. The articles reflect trends in Neural Network Applications to Dynamic PDEs , Phase Field Modeling , and High-Dimensional Computing , often combining High-Order Numerical Methods with Interfacial Phenomena . His recent work focuses on Exact Time Integration Algorithms and Hidden-Layer Concatenation for stability and efficiency. He leads research in the Center for Computational and Applied Mathematics , emphasizing Thermodynamically Consistent Modeling and Flow-Structure Interactions . His teaching includes MA-36600: Ordinary Differential Equations (Spring 2025).

Tobin Sosnickمشاهده پروفایل

استاد

• Protein Folding
• Biophysics
• Molecular Dynamics
• +۵ مورد دیگر

Prof. Tobin Sosnick is a Professor and Chair of the Department of Biochemistry and Molecular Biology at the University of Chicago, affiliated with the Pritzker School of Molecular Engineering and the Institute for Biophysical Dynamics. He holds a PhD in Applied Physics from Harvard University (1989) and a B.A. in Physics from UC San Diego. His research focuses on protein folding mechanisms, biophysical dynamics, and membrane protein behavior, employing advanced techniques like SAXS, HDX-MS, and molecular simulations. He leads the Graduate Program in Biophysical Sciences and has pioneered studies on disordered proteins and allosteric regulation. Notable contributions include elucidating the '70% Rule' for folding transition states and developing optogenetic tools for actin imaging. Recognized as a 2024 AAAS Fellow and contributor to the 2023 Lasker Award-winning AlphaFold project, his work bridges physics, chemistry, and biology. Affiliations: Chair, Department of Biochemistry and Molecular Biology; Senior Fellow, Computation Institute; Founding Member, Institute for Biophysical Dynamics. Collaborations span structural biology, computational biophysics, and cellular engineering. Research Highlights: Protein Folding Dynamics: Transition state topology, cooperativity, and downhill folding. Disordered Proteins: Conformational ensembles, solvent effects, and phase separation. Molecular Tools: Optogenetic systems (e.g., LILAC) and HDX-MS for membrane protein analysis. Grants & Awards: 2024 AAAS Fellow, 2023 Lasker Award contributor, multiple NIH grants for protein dynamics research. His lab has produced over 200 peer-reviewed publications. Labs & Teams: The Sosnick Group integrates experimental and computational approaches, with ongoing projects on riboswitches, stress granule formation, and prestin electromotility mechanisms in hearing.