جست‌وجوی استاد و پژوهشگر

• Aerosol Science
• Particle Science & Technology
• Nanoparticle Synthesis
• +۱۳ مورد دیگر

Chris Hogan is a Professor and Head of the Department of Mechanical Engineering at the University of Minnesota, College of Science and Engineering. He leads the Advanced Technologies for Preservation of Biological Systems (ATP-BIO) research group and is actively involved in multiple high-impact research projects related to aerosol science, particle technology, and environmental health. He is accepting PhD students and maintains a robust research portfolio. Education: PhD, Washington University in St. Louis (2008) BS, Cornell University (2004) Postdoctoral Associate, Yale University (2008–2009) His research focuses on aerosol science , particle dynamics , and nanomaterial synthesis , with applications in bioaerosol detection , cryopreservation , and airborne virus mitigation . His work integrates experimental techniques with mathematical modeling to solve complex engineering challenges in health and sustainability. He has made significant contributions to ion mobility spectrometry, electrostatic precipitation, and sustainable carbon nanotube synthesis. His recent publications reflect a strong trend toward interdisciplinary research, particularly at the intersection of mechanical engineering, environmental science, and biomedical applications. Key themes include particle transport modeling, nanoparticle diagnostics, cryoprotectant delivery, and the development of eco-friendly bioproducts. His articles span high-impact journals and conferences in engineering, environmental health, and materials science. Scientific Awards: Japan Society for the Promotion of Science Short Term Faculty Fellow (2011) McKnight Land-Grant Professorship (2011) Sheldon K. Friedlander Award (2011) Smoluchowski Award (2013) Kenneth T. Whitby Award (2018) Dr. Hogan has secured substantial research funding from NSF, NIH, 3M, and industry partners. He serves as Principal Investigator (PI) or Co-Investigator (CoI) on numerous active grants, including projects on identifying infectious aerosols, biodegradable sunscreen development, and sustainable nanomaterial synthesis. He advises graduate students and collaborates widely across disciplines. His lab, ATP-BIO, focuses on advancing technologies for preserving biological systems through innovative particle and aerosol engineering.

• Computational Materials Science
• Molecular Dynamics
• Machine Learning
• +۲ مورد دیگر

Dr. Priya Vashishta is a Professor with joint appointments in Computer Science, Materials Science, and Physics at the University of Southern California. His research integrates computational methods across multiple scales to address fundamental challenges in materials science and nanotechnology. Research focuses on multiscale simulation frameworks combining quantum molecular dynamics, machine learning interatomic potentials, and high-performance computing. Key areas include: energy storage materials, 2D materials characterization, catalytic processes, and AI-driven materials discovery. Publication trends reveal consistent development of computational methodologies: machine learning potentials for materials simulation, neural network quantum dynamics, GPU-accelerated computing, and multiscale modeling techniques. Recent work emphasizes practical applications in energy storage, nanoscale electronics, and advanced manufacturing. Research group activities include development of open-source simulation packages (PND, Allegro) and leadership in the MAGICS computational materials center. Contributions span fundamental theoretical frameworks to applied materials engineering.

• Supramolecular Chemistry
• Nanobiomimetics
• Molecular Biophysics
• +۴ مورد دیگر

Rebeca Garcia Fandiño is a Full Professor in the Department of Organic Chemistry at the Faculty of Biology, University of Santiago de Compostela. She leads the SupraNanoBioMol research group focused on supramolecular systems, nanobiomimetics and molecular biophysics. Develops cyclodextrin-based therapeutics for age-related diseases Studies cyclic peptide nanotubes for antimicrobial applications Specializes in molecular dynamics simulations of biomolecular systems Her research explores hierarchical membrane structures, water model effects in nanoconfined environments, and membrane-targeted therapies. She has published extensively on: Toxic oxysterol removal using cyclodextrin dimers Antimicrobial D,L-α-cyclic peptide interactions Quantum-classical simulation hybrid approaches Post-COVID condition molecular characterization Augmented reality applications in education The SupraNanoBioMol group at CIQUS center utilizes experimental and computational techniques including DSC, ATR-FTIR and MD simulations. Recent work addresses antimicrobial resistance through membrane disruption mechanisms and AI-driven drug discovery.

• Computational Physics
• Materials Science
• Quantum Monte Carlo Methods
• +۳ مورد دیگر

Ilkka Kylänpää is a University Instructor and Adjunct Professor in Physics at Tampere University, affiliated with the Faculty of Engineering and Natural Sciences. His research focuses on computational materials physics, particularly predictive simulations and method development. He has extensive experience in quantum Monte Carlo methods, electronic structure calculations, and studies on materials like vanadium dioxide and quantum dots. Kylänpää holds a PhD in Physics from Tampere University of Technology (2011) and has held postdoctoral positions at institutions including Oak Ridge National Laboratory and the University of Illinois at Urbana-Champaign. He teaches courses such as Computational Physics 1 and 2, and has contributed to the development of the QMCPACK software package. His work bridges theoretical and computational approaches to understand complex materials and quantum systems. Research interests include quantum simulations, electronic correlations, and the metal-insulator transition in materials. Key contributions involve analyzing vanadium dioxide's electronic properties and developing computational tools for molecular and solid-state systems. His articles span topics from quantum dot dynamics to the effects of oxygen vacancies in heterostructures. Advising and grants are not explicitly detailed in the provided information, but his career trajectory reflects sustained academic and research engagement in computational physics.

Diego Caccavoمشاهده پروفایل

استادیار

• Mathematical Modeling
• Hydrogels
• Drug Delivery Systems
• +۱۲ مورد دیگر

Diego Caccavo is a researcher at the Department of Industrial Engineering (DIIN) , University of Salerno , Italy. He holds a PhD in Industrial Engineering and has been actively contributing to research and teaching since 2017, transitioning from a research fellow to a permanent researcher in 2022. His academic work spans interdisciplinary domains at the intersection of chemical engineering, pharmaceutical sciences, and materials science. Education: He earned his Bachelor's degree with honors in Chemical Engineering from the University of Salerno in 2013, with part of his thesis work conducted at Chalmers University of Technology, Sweden. He completed his PhD in 2017 at the University of Salerno. Dr. Caccavo’s research is centered on hydrogel-based systems for biomedical and agro-food applications, with a strong emphasis on mathematical modeling of drug release mechanisms. His work explores the development of innovative nanoparticle production methods, such as coaxial jet mixers and microfluidic analogs, with a focus on liposome synthesis. He also investigates process control and optimization, particularly in wet granulation and rapid prototyping of pharmaceutical devices. His research integrates transport phenomena , biomaterials science , and process engineering to design advanced drug delivery systems. The analysis of his recent publications reveals a consistent focus on modeling hydrogel behavior , controlled drug release , and nanoparticle synthesis . His work often combines experimental data with computational models, particularly using population balance equations and viscoelastic frameworks. There is a strong trend toward translational research, evident in his spin-off ventures and patent filings. Topics such as in vitro stomach simulation, USP II testing, and pharmacokinetic modeling indicate a growing interest in bridging laboratory findings with clinical outcomes. Scientific Awards and Recognition: Recognized as a Top Scientist 2019–2020 (top 2% globally, PLOS Biology) Editorial Board Member of European Journal of Pharmaceutics and Biopharmaceutics (Elsevier) Active peer reviewer for multiple ISI-indexed journals Dr. Caccavo has supervised over 40 thesis projects in Chemical Engineering, including numerous master’s theses. He has contributed to research grants and collaborative projects, though specific grant names are not mentioned. His entrepreneurial activities include co-founding two spin-offs: Eng4Life S.r.L. and EST S.r.L. , which likely commercialize technologies in drug delivery and process instrumentation. He holds two Italian patent applications related to beverage alcohol measurement and gastric pH monitoring, highlighting his innovation in analytical and biomedical devices. He is actively involved in laboratory research, with affiliations to the T5a Laboratory (DIIN) and the Plant and Process Laboratory (DIFARMA) . These labs support his work in process development, formulation, and characterization of advanced materials.

Carsten Trinitisمشاهده پروفایل

استاد

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +۵ مورد دیگر

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

Emiliano Ippolitiمشاهده پروفایل

پژوهشگر

• Molecular Dynamics
• High Performance Computing
• Quantum Mechanics/Molecular Mechanics (QM/MM)
• +۳ مورد دیگر

Dr. Emiliano Ippoliti is a Senior Scientist at the Institute of Neuroscience and Medicine (INM-9: Computational Biomedicine) at Forschungszentrum Jülich GmbH , Germany. His primary focus is on advancing high-performance computing methodologies for biological systems, particularly classical and ab initio molecular dynamics , and developing tools like the MiMiC framework for multiscale simulations. He holds a Master's in Physics (University of Pisa, 2001) and a PhD in Theoretical Physics (University of Trieste, 2005), followed by postdoctoral research at SISSA/ISAS and the German Research School for Simulation Sciences. His research integrates quantum mechanics/molecular mechanics (QM/MM) , exascale computing , and drug design , addressing challenges in membrane transport, enzyme mechanisms, and drug permeation. Recent work includes studies on CLC transporters, PETase enzyme dynamics, and computational drug screening. He has authored over 40 publications and serves as a referee for PRACE and journals such as Journal of Chemical Theory and Computation . Key contributions include: Developing MiMiC and MiMiCPy for scalable QM/MM simulations Advancing understanding of proton transport in biological systems Modeling drug interactions with cell membranes and ion channels No specific awards are listed, but his work is recognized through extensive peer-reviewed output. He collaborates internationally in exascale computing initiatives and contributes to the Computational Biomedicine group at Jülich.

Cezary Czaplewskiمشاهده پروفایل

استاد

• Coarse-grained molecular modeling
• Protein structure prediction
• Molecular dynamics simulations
• +۳ مورد دیگر

Professor Cezary Czaplewski of the University of Gdańsk is a leading researcher in computational chemistry and coarse-grained molecular modeling. Affiliated with the Faculty of Chemistry and the Department of Theoretical Chemistry , he heads the UNRES server for protein simulations and contributes to projects like Multi-GPU UNRES and MAGENTA . His work bridges physics-based simulations with experimental data integration. Key roles : Professor, Computational Biophysics, University of Gdańsk Projects : EuroHPC PL, Harmonia9, Enerliq, Parylens Research Focus : His research spans coarse-grained modeling , protein structure prediction , and hydrophobic interaction studies , with applications in virology (SARS-CoV-2), antimicrobial peptide design, and large-scale biomolecular simulations. He specializes in GPU-accelerated algorithms and multi-GPU implementations for scalable systems. Teaching : Currently teaches Molecular mechanics & dynamics , Introduction to Python programming , and Parallel programming (Bioinformatics III) . Past courses include Electronic chemical diagnostics and Software in biomacromolecular calculations for PhD students. Scientific Contributions : Developed the UNRES server for polypeptide simulations, extended the UNRES force field to nucleic acids and membrane proteins, and participated in multiple CASP/CAPRI experiments for protein structure prediction. His 2025 publications focus on time-averaged restraints and multi-GPU scalability. Contact : cezary.czaplewski@ug.edu.pl Location : Room B328, Faculty of Chemistry, University of Gdańsk

Michele Nottoliمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Quantum Mechanics
• Molecular Dynamics
• +۵ مورد دیگر

Michele Nottoli is a researcher at the University of Stuttgart's Institute of Applied Analysis and Numerical Simulation (Faculty 08), specializing in Numerical Mathematics for High-Performance Computing. He holds a Ph.D. and works as a Postdoc and Research Assistant. His research focuses on developing advanced computational methods for quantum mechanics and molecular dynamics, emphasizing polarizable embedding models, QM/MM coupling, and high-performance numerical algorithms. Key contributions include the development of the ddX library for polarizable continuum solvation and optimizing linear-scaling methods for large-scale molecular simulations. Nottoli's work addresses challenges in modeling light-driven processes in complex systems, such as photoreceptors and antenna complexes, with applications in biochemistry and materials science. His methodologies integrate domain-decomposition techniques, fast multipole methods, and symmetry-preserving approaches to enhance computational efficiency and accuracy. He actively contributes to open-source software development, including the OpenMMPol library, to facilitate multiscale simulations of embedded molecules in polarizable environments. His research also explores excited-state dynamics, solvation effects, and nonperiodic boundary conditions, with implications for understanding magnetic shifts and optical properties in chemical systems. Nottoli collaborates on projects involving light-harvesting mechanisms in purple bacteria and the molecular mechanisms of solvent shifts in nitroxide radicals. Despite his prolific publication record, no scientific awards are currently listed. Advising and grants: Nottoli is actively involved in postdoctoral research but no specific advisees or grant details are provided in the available information. His affiliation with the Numerical Mathematics group positions him at the intersection of algorithm design and applied computational science.

Talia Mooreمشاهده پروفایل

استادیار

• Robotics
• Animal Behavior
• Biomimetic Design
• +۴ مورد دیگر

Talia Moore is an Assistant Professor in Robotics at the University of Michigan, specializing in robot-animal interactions and the ecological, evolutionary, and control aspects of arrhythmic motion in animals and robots. Her research bridges robotics engineering with biological studies to create bio-inspired robots for ecological and evolutionary hypothesis testing. She leads the EMBiR lab, which focuses on designing robots to explore how traits influence survival in natural environments. Key research areas include modular robotics, biomimetic design, and the biomechanics of animal locomotion. Dr. Moore has pioneered studies on tail functions in mammals and robots, as well as the application of machine vision for behavioral analysis in animals like jerboas. Her work integrates computational modeling (e.g., ArborSim for musculoskeletal systems) with experimental robotics to address challenges in dynamic environments. Recent projects include developing the Robot of Theseus modular platform and exploring predator-prey dynamics through robotic mimicry. Her scientific accolades include the Robotics Faculty Award. She actively mentors undergraduate and graduate students in robotics and biomechanics through independent research opportunities. Collaborative efforts in open-source tools for natural history research and virtual expeditions aim to broaden student participation in ecological studies. Dr. Moore’s lab emphasizes interdisciplinary approaches, blending biomechanics, material science, and computer vision to advance robotics while deepening biological understanding. Current focuses include tail-assisted control mechanisms, soft robotics actuators (e.g., HASEL), and the evolutionary drivers of morphological adaptations in desert rodents and snakes.

Weihua Gengمشاهده پروفایل

استاد

• Numerical Methods
• Partial Differential Equations
• Integral Equations
• +۴ مورد دیگر

Weihua Geng is a Professor and Director of Undergraduate Studies in the Department of Mathematics at Southern Methodist University. He earned his Ph.D. from Michigan State University in 2008 and completed postdoctoral research at the University of Michigan. His research focuses on numerical methods for partial differential equations and integral equations, with applications in structural and systems biology. Professor Geng develops advanced computational techniques including matched interface and boundary methods, boundary integral formulations, and treecode-accelerated algorithms for electrostatics and biomolecular simulations. His work combines mathematical modeling with high-performance computing to study protein interactions, chromatin folding, and circadian rhythm systems. His recent publications demonstrate a strong focus on enhancing Poisson-Boltzmann solvers through machine learning integration, parallel computing optimizations, and novel regularization techniques. These developments advance computational capabilities for electrostatic analysis in biological systems. Professor Geng has mentored numerous graduate and undergraduate researchers in computational mathematics. His collaborative projects involve researchers from multiple institutions including University of Michigan, Pacific Northwest National Laboratory, and University of Alabama.

Martin Falkمشاهده پروفایل

مدرس ارشد

• Scientific Visualization
• Molecular Visualization
• Volume Rendering
• +۴ مورد دیگر

Martin Falk is a Senior Lecturer in the Scientific Visualization Group at Linköping University's Department of Science and Technology (ITN). He holds a Ph.D. (Dr. rer. nat.) from the University of Stuttgart (2013). His research focuses on molecular visualization, large-scale volume rendering, cryoEM visualization, and systems biology, with expertise in uncertainty visualization and spatio-temporal data analysis. Falk co-organized the Eurographics and EuroVis conferences in 2020, which attracted over 2,300 participants and 100 video sessions viewed nearly 38,000 times. Research interests span medical imaging (e.g., histological analysis of vascular specimens) and plasma physics (e.g., studying plasma instabilities and boundary dynamics). He collaborates across disciplines, contributing to tools like the Topology ToolKit and Inviwo visualization frameworks. His work bridges computational methods with biomedical and physical sciences, emphasizing scalable visualization techniques for complex datasets. Key contributions include developing visual environments for protein modeling validation and advancing topological data analysis methodologies. Falk’s research is published in journals like IEEE Transactions on Visualization and Computer Graphics and New Journal of Physics, reflecting his dual expertise in visualization and applied physics.

• Physical Chemistry
• Computational Chemistry
• Multiscale Modeling
• +۵ مورد دیگر

Oliviero Andreussi is an Associate Professor in the Department of Chemistry at Boise State University. His research focuses on computational science applied to chemistry, materials science, and biophysics, with an emphasis on developing multiscale models for environment effects in wet materials interfaces. He holds a Ph.D. and M.S. in Physical Chemistry from the Scuola Normale Superiore of Pisa, Italy. His work includes open-source software development, such as continuum embedding libraries and Python workflows for high-throughput materials analysis, and integrates machine learning to improve simulation accuracy. Research interests span electrocatalyst design (e.g., 2D materials for water splitting), solvent effects in biomolecular systems, and computational methods for electrochemical interfaces. He has received the NSF CAREER Award (2020) and led grants on topics like 'Multiscale and Machine-Learning Approaches for Electrified Interfaces' and 'First-Principles High-Throughput Analysis of Gas Hydrates'. Teaching includes advanced physics courses (Statistical Mechanics, Computational Physics) at the University of North Texas and chemistry education at the University of Pisa. His lab emphasizes undergraduate research, requiring 10 weekly hours over 3–4 semesters, with opportunities for conference presentations and co-authorship. Current projects involve Unix/terminal proficiency and scripting for computational workflows. Awards: NSF CAREER Award (2020) Grants: NSF OAC (MRI Cluster), ACS Petroleum Research Fund, NSF CSSI Program Labs/Teams: Focus on computational modeling, open-source software (Fortran/Python), and collaboration with experimental groups.

Ksenia Bravayaمشاهده پروفایل

دانشیار

• Theoretical Chemistry
• Quantum Chemistry
• Electronic Structure
• +۴ مورد دیگر

Ksenia Bravaya is an Associate Professor in the Department of Chemistry at Boston University. She leads the Bravaya Research Group, which focuses on theoretical and computational studies of complex electronic structure phenomena in biomolecules and materials. Her work spans electronic resonances, computational electrochemistry, and electron transfer mechanisms in proteins. She holds a Ph.D. from Lomonosov Moscow State University (2008) and completed postdoctoral research at the University of Southern California (2013). Research Interests: Electronic structure of metastable states (resonances) Redox potentials in biomolecules Electron transfer pathways in proteins (via eMap software) Development of quantum chemistry methods for resonance states Publications Highlight: Over 30 peer-reviewed articles including methodological advances in CAP-based resonance modeling, computational electrochemistry protocols, and software tools like eMap and OpenCap. Recent work focuses on applications in cryptochromes and cytochrome c peroxidases. Advising & Grants: Supervises 4 current graduate students and has mentored numerous postdocs. Notable student achievements include Director's Awards and software fellowships. Lab members develop open-source computational tools and publish in top journals like J. Chem. Phys. and Phys. Rev. Lett. Labs/Teams: Bravaya Research Group operates at BU with interdisciplinary collaborations. Active software projects include eMap (electron pathway prediction) and OpenCap (CAP-based simulations).