جست‌وجوی استاد و پژوهشگر

• Scientific Computing
• Numerical Analysis of PDEs
• High-Performance Computing
• +۷ مورد دیگر

PD Dr. Florian Frank is Privatdozent (senior lecturer with full teaching licence) for Applied Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and heads the Bavarian research project „Parallel mesh loading and partitioning for large-scale simulation“ . His expertise spans high-performance computing, phase-field and discontinuous Galerkin methods, digital-rock physics, and reactive transport in porous media. Education & career 2022 – Venia legendi (private lecturer), Mathematics, FAU 2019 – Dr. habil., Mathematics, FAU 2013 – Dr. rer. nat., Applied Mathematics, FAU 2008 – Graduate Mathematician, University of Frankfurt 2021-2022 (acting) W2 Professor Scientific Computing, FAU 2018-2021 (acting) W2 Professor Mathematical Modelling, FAU 2017-2018 Senior Postdoc, CAAM, Rice University, USA 2014-2017 Postdoc, CAAM, Rice University, USA Research interests Frank focuses on the development and analysis of numerical schemes for partial differential equations that govern multiphase, multicomponent and reactive processes in porous or biological media. Key themes include discontinuous Galerkin and finite-volume methods , physics-preserving discretizations , high-performance computing , and digital-rock-based pore-scale simulations . He couples phase-field approaches with (Navier–)Stokes, Cahn–Hilliard, Nernst–Planck and density-gradient equations to quantify flow, transport, colloid dynamics and interfacial phenomena. Recent publications reveal a clear trend toward data-driven modelling : convolutional neural networks are trained with direct numerical simulation data to predict permeability and diffusion coefficients from 3-D micro-CT images, while advanced preconditioners and regularization techniques accelerate multiphase thermodynamic computations. Awards & recognition 2020 – Emmy-Noether-Prize der Naturwissenschaftlichen Fakultät, FAU 2017 – Promotion to Senior Postdoctoral Research Associate , George R. Brown School of Engineering, Rice University Projects, tools & supervision Frank currently leads a Bavarian state-funded project on parallel mesh handling for large-scale simulations. Together with collaborators he maintains the open-source MATLAB/GNU Octave toolbox FESTUNG for discontinuous Galerkin methods. Since 2018 he has (co-)supervised ten BSc and MSc theses on topics ranging from Stokes preconditioning to enriched Galerkin shallow-water solvers, regularly serves as reviewer for more than a dozen international journals, and is guest editor of special issues in Computational Geosciences and Oil & Gas Science and Technology .

• Structural Biology
• NMR Spectroscopy
• Antimicrobial Peptides
• +۷ مورد دیگر

Associate Professor Chandralal Hewage is a structural biologist at the School of Biomolecular and Biomedical Science, University College Dublin, with over 30 years of expertise in NMR spectroscopy. His research focuses on biologically active peptides for diabetes therapy, antimicrobial drug development, and liver disease metabolic studies. Research Interests: Structural analysis of diabetes-related peptides Design of GIP and endothelin receptor drugs NMR-based antimicrobial peptide studies Liver cell metabolic profiling in disease states Development of computational peptide modeling tools Scientific Contributions: Organizer of international conferences EUROMAR 2012 and ICMRBS 2018. Author of >100 publications. Developer of bioinformatics tools APPTEST and ENNAVIA for peptide structure/activity prediction. Professional Affiliations: ICMRBS Council Member European Peptide Society Council Member Chairman of Irish Peptide Society

• Digital Rock Physics
• Computational Pore-Scale Physics
• Tomographic Imaging
• +۹ مورد دیگر

Professor Christoph Arns is a full Professor at the University of New South Wales (UNSW) School of Engineering, specializing in Mineral and Energy Resources Engineering. He has been at UNSW since 2008 and has held the position of full Professor since 2014. Currently, he leads the Geoenergy and Geostorage discipline within the school. Prior to joining UNSW, he was a research fellow at the Australian National University from 2001-2008. Professor Arns obtained his Dipl. Phys. from RWTH Aachen, Germany in 1996 and his PhD in Petroleum Engineering from UNSW Sydney in 2002. His academic background combines physics and petroleum engineering, creating a unique interdisciplinary perspective for his research. His primary research focus is on Digital Rock Physics, where he has pioneered computational pore-scale physics based on tomographic images. He specializes in integrating 3D tomographic imaging technology with NMR techniques for petrophysical applications, with particular emphasis on heterogeneity analysis. His work spans multiple sub-disciplines including pore-scale modeling, digital core analysis, rock physics, reservoir characterization, and Minkowski functionals for structural analysis. Professor Arns has developed the MPI-parallel software package 'morphy' for computational physics operating on segmented tomographic images, which includes sophisticated NMR response modeling, electrical property calculations, permeability estimation, elastic moduli determination, and morphological property analysis. His research has substantial industry relevance, as evidenced by his role as a founding member of Digital Core Pty Ltd, an ANU/UNSW spin-off that was sold to FEI for $76 million in 2014 and is now part of ThermoFisher. He has received significant research support through three successive Australian Research Council (ARC) fellowships. His scholarly contributions are reflected in numerous publications spanning from 2000 to 2025, with recent work focusing on advanced computational methods, machine learning applications in rock physics, and detailed analysis of fluid-rock interactions at the pore scale. Professor Arns maintains active leadership roles in multiple professional societies including Interpore (lifetime member, former council chair 2016-2019), Society of Core Analysts (Australasia Regional Director since 2016), Society of Petrophysicists & Well Log Analysts, Society of Exploration Geophysicists, and Society of Petroleum Engineers.

Karl Jansenمشاهده پروفایل

پژوهشگر

• Lattice Field Theory
• Quantum Computing
• Tensor Networks
• +۵ مورد دیگر

Karl Jansen is a researcher at DESY Zeuthen, Germany, where he leads the Center for Quantum Technologies and Applications (CQTA) and contributes to the NIC research group 'Elementary Particle Physics'. His work spans computational sciences, quantum computing, lattice field theory, and theoretical biology, with a focus on interdisciplinary approaches integrating physics and AI in drug design. Affiliated institutions: DESY Zeuthen, NIC (Research Center Jülich) Research areas: Quantum technologies, computational physics, molecular simulations, and epigenetic drug development Recent publications emphasize machine learning applications in drug discovery, epigenetic inhibition mechanisms, and advanced computational modeling techniques. His leadership in quantum technologies highlights DESY's commitment to cutting-edge research infrastructure. Personal interests include diving (documented across global locations like Australia, Taiwan, and Cyprus) and music, reflecting a multidisciplinary engagement beyond formal academic roles.

Altuğ Başolمشاهده پروفایل

استادیار

• Computational fluid dynamics
• Parallel programming
• Computing with GPU accelerators
• +۵ مورد دیگر

Dr. Altuğ Başol serves as an Assistant Professor in Mechanical Engineering at Özyeğin University's Faculty of Engineering in Istanbul, Turkey. His academic career bridges advanced computational techniques with practical industrial applications in fluid dynamics and thermal engineering. Education: PhD in Mechanical Engineering, ETH Zurich, Switzerland (2013) MSc in Mechanical Engineering, Boğaziçi University, Turkey (2007) BSc in Chemical Engineering, Boğaziçi University, Turkey (2004) Dr. Başol's research program centers on computational fluid dynamics with specialization in parallel programming and GPU-accelerated computing. His work develops application-specific numerical tools for industrial process optimization, with particular focus on turbomachinery design. He has extensive industry collaboration experience, having worked with leading turbine and compressor manufacturers during his postdoctoral research at ETH Zurich to improve machinery performance and reliability. His research emphasizes harnessing modern multi-core and many-core hardware architectures for engineering simulations. Current Research Projects: Wind comfort assessment of Özyeğin University Campus (TUBITAK 1001 project) Development of Furnace Design and Analysis Software with graphics-accelerated Monte Carlo Ray Tracing Joint research project with Ford Otosan on heavy commercial vehicle under-hood thermal modeling Teaching: Thermodynamics (ME 202) Numerical Analysis (Math 214) Computational Methods for Engineers (ME 418/518) Computational Fluid Dynamics (ME 419/519) Dr. Başol actively recruits graduate students with strong backgrounds in thermal/flow modeling and programming languages including C, C++, and Fortran for research positions that provide hands-on experience with industrial-scale engineering problems.

Özkan Bebekمشاهده پروفایل

دانشیار

• Medical Robotics
• Mechatronics
• Biomedical Measurement
• +۴ مورد دیگر

Özkan Bebek is an Associate Professor in the Faculty of Engineering at Ozyegin University, specializing in Medical Robotics and Mechatronics. He holds a Ph.D. in Systems and Control Engineering from Case Western Reserve University (2008), an M.S. in Mechatronics from Sabanci University (2003), and a B.S. in Mechanical Engineering from Middle East Technical University (2001). Ph.D.: Systems and Control Engineering, Case Western Reserve University (2008) M.S.: Mechatronics, Sabanci University (2003) B.S.: Mechanical Engineering, Middle East Technical University (2001) His research focuses on medical robotics , mechatronics , biomedical measurement , and haptic systems . Recent publications highlight advancements in exoskeleton design, 3D printing optimization, and soft-landing actuation systems. He has directed the Ozyegin University Robotics Laboratory , contributing to innovations in robotic-assisted surgery and wearable technologies. Notable scientific achievements include the Outstanding Graduate Student Research Poster at Research ShowCASE 2005. He has mentored students in projects spanning robotic biopsies, exoskeleton locomotion control, and intelligent actuator systems.

• Computational Fluid Dynamics
• Discrete Element Method
• High Performance Computing
• +۵ مورد دیگر

Mark Sawley is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL) with dual appointments in the Institute of Mechanical Engineering (IGM) for administration and the School of Management (SGM) for teaching. With over 30 years of experience in academic, government laboratory, and private institutions across Switzerland and Australia, he holds a PhD in Physics and has founded/co-founded two high-tech startup companies. His administrative roles include coordinating ACCES for Computational Engineering promotion and serving as Coordinator for Academic Affairs at the STI Faculty. Dr. Sawley's research spans computational fluid dynamics, discrete element method simulations, and high-performance computing applications. His work bridges multiple disciplines with applications in materials science (concrete simulation), bioengineering (blood flow modeling), marine engineering (America's Cup yacht design), avalanche dynamics, and industrial particulate processing. His recent publications (2018-2021) demonstrate continued activity in applying numerical methods to solve complex engineering problems. His scientific contributions include 37 peer-reviewed journal papers, 58 conference proceedings, and 21 articles for general audiences. His work uniquely connects technical research with science communication through projects like TIMBRE!! and the DEM Gallery, emphasizing the relationship between science and art. 37 scientific papers in international peer-reviewed journals 58 papers in international conference proceedings 21 science communication articles for general audiences Professor Sawley has advised PhD students including Serge Wüthrich (1992) and Olivier Byrde (1997). His Computational Granular Dynamics lab (http://cgd.epfl.ch) provides a platform for interdisciplinary research connecting physics, engineering, and computational science. His administrative leadership in academic affairs and computational engineering promotion demonstrates his commitment to advancing both research and education at EPFL.

Gil Alexandrowiczمشاهده پروفایل

استاد

• Surface Chemistry
• Atomic and Molecular Physics
• Gas-Surface Interactions
• +۵ مورد دیگر

Professor Gil Alexandrowicz is a distinguished faculty member in the Department of Chemistry at Swansea University's Faculty of Science and Engineering. With a PhD from the University of Cambridge and previous academic appointments at the Technion - Israel Institute of Technology and the University of Cambridge, he has established himself as a leading researcher at the interface of chemistry and physics. Professor of Chemistry, Swansea University (2019-Present) Associate Professor, Swansea University (2018-2019) Associate Professor, Technion - Israel Institute of Technology (2014-2018) Senior Lecturer, Technion - Israel Institute of Technology (2008-2014) College Research Fellow, Gonville and Caius College, University of Cambridge (2005-2008) His research focuses on surface dynamics and gas-surface interactions, with particular expertise in atomic and molecular beams, surface diffusion, and molecule-surface collisions. Professor Alexandrowicz's work is characterized by developing novel experimental techniques to address research questions that cannot be studied with existing scientific technology. His most significant contributions include the development of techniques to control molecular rotations and the separation of ortho and para water molecules - a breakthrough that had previously been considered impossible. Analysis of Professor Alexandrowicz's recent publications reveals a consistent focus on advancing molecular beam techniques, particularly magnetic manipulation of molecular beams and spin-echo spectroscopy. His research has evolved from fundamental studies of surface diffusion to increasingly sophisticated control of molecular quantum states during surface interactions. The publications span high-impact journals including Nature Communications, Physical Review Letters, and Science, demonstrating the significance of his contributions to surface science. Development of technique to separate ortho and para water molecules (published in Science, 2011) Development of technique to control rotational quantum states of molecules (published in Nature Communications, 2017, 2020) Pioneering helium spin echo studies of surface motion (published in Physical Review Letters and Science) Professor Alexandrowicz actively supervises PhD students and leads a research group comprising postdoctoral researchers including Dr. Helen Chadwick, Dr. Hamza Labiad, and Dr. Joshua Cantin, along with PhD student Yosef Alkoby and laboratory manager Dagmar Butkovikova. His research has been supported by significant grants that have enabled the development of specialized equipment for molecular beam experiments. He teaches advanced chemistry courses including Structure and Bonding, Chemical Practice, and Computational and Theoretical Chemistry. His laboratory specializes in developing and applying novel molecular beam techniques with magnetic manipulation capabilities, focusing on quantum state-resolved studies of molecule-surface interactions. The group has established unique capabilities in separating water spin isomers and controlling molecular rotations, opening new avenues for studying surface reaction dynamics at the quantum level.

• Computer Communications
• Fluid Modeling
• Parallel Computing
• +۵ مورد دیگر

Miloš Ivanović serves as an Assistant Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computer science and computational mathematics, with research spanning multiple interdisciplinary domains that bridge theoretical computer science with practical applications in engineering, physics, and biology. Dr. Ivanović earned his Doctorate in Computer Science from the Faculty of Natural Sciences and Mathematics (PMF) at the University of Kragujevac, establishing a foundation for his subsequent research career focused on computational methods and high-performance computing. His research interests represent a sophisticated convergence of computational theory and practical applications. Ivanović specializes in advanced computing paradigms including grid computing, GPGPU computing, and cloud-based high-performance computing systems. His work in fluid modeling employs meshless methods and particle dynamics approaches, particularly SPH and DPD techniques applied to microfluidic systems. The breadth of his research extends from theoretical mathematics (graph theory and chemical indices) to practical applications in hydrology, biomedical engineering, and nuclear physics. His interdisciplinary approach enables innovative solutions across diverse scientific domains that require intensive computational resources. The collection of his publications reveals a consistent trajectory of research focused on computational methods with applications spanning multiple scientific disciplines. His work demonstrates strong expertise in parallel computing architectures and their application to complex scientific problems. The publications show a progression from fundamental computational mathematics toward increasingly complex multi-domain applications, particularly in biomedical and environmental systems. His research consistently addresses the challenge of implementing computationally intensive methods on distributed and parallel architectures to solve real-world scientific problems. Throughout his career, Ivanović has participated in numerous national and European research and infrastructure projects, including FP6, FP7, and Tempus initiatives. His collaborative approach is evident in the diverse range of co-authors spanning multiple institutions and disciplines, reflecting his ability to bridge computational science with domain-specific applications. Dr. Ivanović is affiliated with the Group for Mathematical Modeling and Computer Simulations, which develops computational solutions across various domains including fluid dynamics, biomedical applications, and environmental modeling. The group's work encompasses software development for simulation purposes, as evidenced by projects like the SPH07 software package and various specialized simulation tools for engineering and biomedical applications.

Hideya Koizumiمشاهده پروفایل

دانشیار

• Quantum Chemistry
• Statistical Mechanics
• Biomolecular Modeling
• +۳ مورد دیگر

Hideya Koizumi is an Associate Professor of Chemistry at Arkansas State University within the Beck College of Sciences & Mathematics. He holds a Ph.D. in Chemistry from the University of Utah and a B.S. in Chemistry from Oklahoma State University. Research spans quantum mechanical modeling, ion trapping simulations, and biomolecular interactions Teaches physical chemistry and general chemistry Focuses on computational methods and statistical mechanics in chemical systems His computational research applies quantum mechanics and statistical methods to study molecular properties and biomolecules, with recent work on intramolecular interactions in proteins and ion trapping dynamics. His publications highlight expertise in mass spectrometry, ion mobility, and computational chemistry. Though no awards are listed, his work bridges theoretical modeling with experimental validation in molecular systems.

• Quantum Chemistry
• Theoretical Chemical Physics
• Computational Chemistry
• +۳ مورد دیگر

Dr. Juozas Šulskus is a Professor at the Institute of Chemical Physics , Vilnius University. His research focuses on methods of quantum mechanics in molecular theory, computational chemistry, and molecular electronic/vibrational spectra modeling. Research Interests : Quantum chemistry, molecular spectroscopy, parallel computing for molecular systems, and photophysical processes. Teaching : Computational Chemistry, Parallel Computation Methods in Physics, Atomic and Molecular Theory. Leadership : Dean of Vilnius University Physics Faculty, Member of the Commission for Pedagogical Names, and Substitute on the EuroHPC Governing Board. His work emphasizes quantum mechanical modeling of molecular systems and parallel computation for simulating excited-state dynamics. Articles highlight studies on carotenoid spectra , fluorescence quenching , and phosphorescent polymers , with recent trends in optoelectronic material design and carrier localization in semiconductors .

CESUR BARANSELمشاهده پروفایل

استاد

• Computer Science and Engineering
• Machine Learning
• Artificial intelligence
• +۵ مورد دیگر

Professor Cesur Baransel is a faculty member in the Computer Engineering Department at Gaziantep University's Faculty of Engineering in Turkey. With expertise spanning computer science, machine learning, artificial intelligence, and image processing, he has established himself as a prominent researcher with contributions across multiple disciplines. Education: Doctorate (1990-1994): Department of Computing Science, University of Alberta, Canada Degree (1985-1988): Department of Computer Science Engineering (Computer Hardware), Hacettepe University, Turkey Licence (1981-1985): Department of Computer Science Engineering, Hacettepe University, Turkey Professor Baransel's research spans multiple domains with particular emphasis on parallel computing algorithms, network protocols, and more recently, applications of machine learning in bioinformatics and decision science. His early work focused on efficient routing algorithms and parallel matrix multiplication for high-performance computing architectures, especially torus networks. Over time, his research has expanded to include information-theoretic approaches in genetics, drug-target interaction prediction using autoencoders, and neutrosophic decision-making frameworks for drone selection. His publications demonstrate a remarkable evolution from fundamental computer architecture research to increasingly interdisciplinary applications across healthcare, finance, and industrial engineering. Professional Experience and Projects: Professor at Gaziantep University (2018-present) Extensive industry experience including positions at Saltus Yazılım, Likom PD, and Netaş from 1986-2009 Three major research projects completed: Optical Ore Sorting System, Computerized Jacquard Control System, and Mass Balancing Software for Cement Factories Author of five books and book chapters covering mathematical methods in engineering, parallel computing, and software architectures

Halil İbrahim İçoğluمشاهده پروفایل

دانشیار

• Textile Sciences and Engineering
• Nanotechnology
• Textile Finishing
• +۴ مورد دیگر

Halil İbrahim İçoğlu is an Associate Professor at Gaziantep University's Faculty of Engineering, Department of Textile Engineering. He holds a PhD in Textile Engineering from Çukurova University (2008-2014), complemented by master's (2003-2006) and bachelor's (1998-2003) degrees from the same institution. His academic career began in 2006 as a Research Assistant at Gaziantep University, progressing to Doctor Lecturer (2015-2023) and Associate Professor (2023-present). His research focuses on: Advanced electrospinning techniques for nanofiber production Functional textiles including wound dressings and composites Nanotechnology applications in textile engineering Polymer processing and fiber technology innovations Textile finishing and characterization methods His publications (24 articles) predominantly explore nanofiber manufacturing optimization, functional material development, and textile composites, with recent work emphasizing industrial-scale production methods. Awards: University First Place in Faculty of Engineering and Architecture, Çukurova University (2003) Research Leadership: He has managed 8 national projects including TÜBİTAK-funded initiatives on nanofiber production machines and graphene oxide applications, while advising 6 graduate students on nanofiber biomaterials and composites. Administrative Roles: Currently serves as Department Deputy Chair, MÜDEK Coordinator, and Faculty Board Member. Previously held accreditation coordination and deputy chair positions (2016-2023).

Kyle Camardaمشاهده پروفایل

دانشیار

• Computational Molecular Design
• Optimization Algorithms
• Bioinformatics
• +۳ مورد دیگر

Kyle Camarda is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Kansas. With a focus on computational molecular design and optimization algorithms, his research bridges chemical engineering, bioinformatics, and pharmaceutical development. He earned his B.S. from the University of California and M.S./Ph.D. from the University of Illinois at Urbana. Education: B.S. in Chemical Engineering, University of California M.S. and Ph.D. in Chemical Engineering, University of Illinois at Urbana Research Interests center on computational molecular design for pharmaceuticals and polymers, leveraging high-performance computing and optimization techniques like genetic algorithms and Tabu search. His work includes predictive modeling of molecular properties, multi-site collaborative design via Access Grid technology, and parallel computing applications in chemical engineering. Publications highlight interdisciplinary applications of optimization algorithms in pharmaceutical stabilization, surfactant design, catalytic materials, and soybean oil product development. His recent studies emphasize environmentally benign catalysts and metabolic network flux analysis.

David Sherrillمشاهده پروفایل

استاد

• Computational Chemistry
• Theoretical Chemistry
• Quantum Chemistry
• +۳ مورد دیگر

David Sherrill is a Regents' Professor in the School of Chemistry and Biochemistry at the Georgia Institute of Technology with a joint appointment in the College of Computing. As of January 2025, he serves as interim executive director of the Georgia Tech Institute for Data Engineering and Science (IDEaS), supporting interdisciplinary research in data science and high-performance computing across campus. His educational background includes a B.S. in Chemistry from MIT (1992), a Ph.D. in Chemistry from the University of Georgia (1996), and an NSF Postdoctoral Fellowship at UC Berkeley (1996-1999) working under Martin Head-Gordon. Sherrill's research focuses on ab initio electronic structure theory development and non-covalent interaction analysis across diverse chemical systems. His group pioneers methods like symmetry-adapted perturbation theory (SAPT) to dissect electrostatic, dispersion, and exchange-repulsion effects in drug binding, biomolecular structures, organic crystals, and organocatalysis. They specialize in generating high-accuracy quantum datasets for machine learning applications and developing the open-source Psi4 quantum chemistry software used globally. Recent publications reveal a strategic shift toward integrating quantum chemistry with machine learning —evident in tools like SparcleQC for automated protein-ligand studies and physics-aware neural networks for binding energy prediction—while maintaining rigorous benchmarking against coupled-cluster theory. The work increasingly targets crystal lattice energy prediction and anharmonic vibrational analysis with practical applications in drug design. Elected Member, International Academy of Quantum Molecular Science (2024) Herty Medal for Outstanding Contributions (2023) Fellow of AAAS, American Chemical Society, and American Physical Society National Science Foundation CAREER Award (2001) Camille and Henry Dreyfus New Faculty Award (1999) Sherrill actively mentors doctoral students including Caroline Glick (Ph.D. 2024), Philip Nelson (Ph.D. 2024), and current researchers like Izzy Berry (CRIDC poster award winner). His group receives sustained funding from NSF and ACS programs, supporting projects such as the BioFragment Database (BFDb) and CrystaLattE software for molecular crystal analysis. As associate director of IDEaS since 2016, he has secured resources for interdisciplinary computational infrastructure while advancing quantum chemistry methodology. The Sherrill Research Group operates from the Molecular Science and Engineering Building at Georgia Tech, maintaining active collaborations with national labs and industry partners. They contribute to Psi4's development while leading initiatives like the Supercomputing Conference participation and the Southeastern Regional ACS symposium honoring Sherrill's Herty Medal achievement.