جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Radiation Detection
• Proton Therapy
• +۴ مورد دیگر

Associate Professor Ilker Meric is affiliated with the Department of Computer Science, Electrical Engineering and Mathematical Sciences at the University of Bergen. His research focuses on advanced medical imaging techniques, radiation detection systems, and proton therapy verification methodologies. Key projects include the NOVO and SenSe groups, which explore hybrid neutron/gamma ray imaging and sensor technologies for healthcare applications. His research interests span medical physics, radiation detection, and data science applications in healthcare. Notable contributions include developing computational models for proton range verification using prompt gamma-ray spectroscopy and fast neutron detection. Meric also investigates sensor networks for real-time monitoring in industrial and medical contexts. Recent work emphasizes integrating artificial intelligence (e.g., U-NETs) for image reconstruction in proton therapy, as well as optimizing neutron-based systems for crude oil analysis and subsurface exploration. His publications highlight interdisciplinary approaches combining physics, engineering, and data-driven methods to solve complex clinical and industrial challenges. Meric teaches courses such as Control Systems Engineering, Instrumentation, and Bachelor Thesis supervision. His research groups collaborate on cutting-edge projects like the NOVO initiative, advancing real-time range verification in particle therapy to improve treatment accuracy and patient safety.

• Chemical Engineering
• Polymer Science
• Numerical Methods
• +۳ مورد دیگر

Pendar Mahmoudi is an Associate Professor, Teaching Stream in the Department of Chemical Engineering at the University of Waterloo, Canada. He holds a Doctorate in Chemical Engineering from the University of Waterloo (2018) and a BSc in Chemical Engineering from Sharif University of Technology, Iran (2013). His teaching focuses on computational methods and numerical techniques in chemical engineering, including courses such as CHE 120 (Computer Literacy and Programming), CHE 312 (Mathematics of Heat and Mass Transfer), and NE 336 (Micro and Nanosystem Design). His research interests encompass polymer surface phenomena, computational modeling of polymer melts, and entropic segregation mechanisms. He has published extensively on topics such as surface enrichment in polydisperse systems and molecular weight effects on polymer behavior. Currently, he is not accepting graduate students but remains actively involved in teaching and curriculum development. Education: PhD, Chemical Engineering, University of Waterloo (2018) BSc, Chemical Engineering, Sharif University of Technology (2013) Dr. Mahmoudi’s research explores the intersection of computational methods and polymer physics, with a focus on understanding surface segregation phenomena in polymeric materials. His work integrates experimental and theoretical approaches to elucidate how molecular parameters like chain length and molecular weight influence surface behavior. Recent studies highlight the universality of entropic segregation and its implications for material design. His teaching portfolio underscores a commitment to advancing computational literacy among engineering students through courses like Numerical Methods for Process Analysis and Introduction to Computational Methods for Engineers. Advising and Grants: Not currently accepting graduate students. No specific grants mentioned in the provided data.

Lars Jødalمشاهده پروفایل

پژوهشگر

• Medical Physics
• Nuclear Medicine
• Body Composition Analysis
• +۵ مورد دیگر

Lars Jødal is a medical physicist affiliated with Aalborg University , under The Faculty of Medicine and the Department of Nuclear Medicine . His work bridges clinical applications and theoretical modeling, focusing on body composition analysis, renal function, and radiotracer dynamics. Research interests include bioelectrical impedance analysis for clinical nutrition, pharmacokinetic modeling of radiotracers, and skeletal metabolism networks in disease states like osteomyelitis and nephrectomy models. His methodologies leverage advanced imaging techniques (e.g., PET) and mathematical frameworks for biological systems. Activities extend to peer review for journals ( Nuclear Instruments and Methods in Physics Research , Physics in Medicine and Biology ), teaching at Radiografskolen (UCN), and disseminating research through conference abstracts and datasets. Notably, he has contributed datasets on pediatric nephrotic syndrome and osteomyelitis perfusion studies.

Roberto De Renziمشاهده پروفایل

استاد

• Superconductivity
• Magnetism
• Muon Spin Spectroscopy
• +۶ مورد دیگر

Roberto De Renzi is a Full Professor of Physics at the University of Parma, affiliated with the Department of Mathematical, Physical and Computer Sciences. He has held leadership roles, including Head of Department from 2012-2019 and service roles in academic governance and international scientific boards. His research focuses on superconductivity, magnetism, and quantum technologies using muon spin spectroscopy and NMR. He develops instrumentation and computational tools, such as the mujpy Python package for muon data analysis. Key contributions include studies on magnetic topological insulators, correlated electron systems, and high-temperature superconductors. De Renzi has supervised 13 PhD students and examined 14 others internationally. Awards include the 2014 Yamazaki Prize for MuSR Spectroscopy and the 2013 APS Outstanding Referee designation. He has led numerous competitive projects, including PNRR initiatives on quantum science and HPC infrastructure. Teaching spans physics courses for engineering and physics students, including condensed matter physics and electromagnetism. His work bridges experimental and computational approaches to materials science, with publications in over 200 international journals and co-authored textbooks.

• Cochlear Modeling
• Hearing Impairment
• Acoustics
• +۵ مورد دیگر

Jont Allen is a Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Electrical and Computer Engineering , Nuclear, Plasma, and Radiological Engineering , Speech and Hearing Science departments, and the Coordinated Science Lab . He is an IEEE Fellow (1985) and has contributed extensively to cochlear modeling, hearing science, and mathematical physics. Allen’s research spans auditory mechanics, signal processing, and interdisciplinary applications in biomedical and environmental engineering. His research interests include cochlear amplification , hearing impairment , acoustic signal analysis , and mathematical pedagogy . Recent work focuses on cochlear function from the canal to the cortex, chaotic systems in numerical methods, and historical perspectives in mathematical physics. Key contributions include the Chaotic Convergence of Newton’s method (2024) and a 50-year retrospective on cochlear modeling. His publications bridge theoretical frameworks with practical applications in audiology, engineering, and education. Allen is affiliated with the Coordinated Science Lab, emphasizing collaborative, interdisciplinary research.

Michael Holstمشاهده پروفایل

استاد

• Numerical Analysis
• Applied Analysis
• Partial Differential Equations
• +۶ مورد دیگر

Michael Holst is a Distinguished Professor of Mathematics and Physics at the University of California San Diego (UCSD), currently serving as Chair of the Mathematics Department. He holds a PhD from the University of Illinois (1993) and has held academic positions at Caltech (1993–1997) and UC Irvine (1997–1998) before joining UCSD in 1998. He also serves as Co-Director of the Center for Computational Mathematics (CCoM) and Core Faculty in the Center for Astrophysics and Space Sciences (CASS). His research spans numerical analysis, applied mathematics, and mathematical physics, with a focus on general relativity, finite element methods, and computational biophysics. Education: B.S. in Mathematics, Colorado State University, 1987 Ph.D. in Mathematics, University of Illinois at Urbana-Champaign, 1993 Research Interests: Holst’s work integrates numerical methods, partial differential equations, and geometric analysis. He is renowned for contributions to the Einstein constraint equations in general relativity, finite element exterior calculus (FEEC), and computational tools like the Finite Element Toolkit (FETK). His research addresses challenges in gravitational wave modeling, biophysical simulations, and plasma physics. Key themes include adaptive mesh refinement, nonlinear elliptic systems, and interdisciplinary applications in physics and engineering. Awards & Recognition: NSF CAREER Award Hellman Fellowship SIAM Fellow (2016) Chancellor’s Associates Endowed Chair (UCSD) Advising & Grants: Holst has mentored 19 doctoral students and 29 postdoctoral researchers, fostering interdisciplinary training through programs like the Computational Science, Mathematics, and Engineering (CSME) graduate program. His grants include support from NSF, NIH, DOE, AFOSR, and industrial sponsors. He leads research initiatives on numerical relativity, computational biophysics, and fusion energy modeling. Labs & Affiliations: Co-founder and leader of the Mathematical and Computational Physics Research Group (MCP). Core contributor to the FETK software framework and interdisciplinary centers such as CCoM, CASS, and the Halıcıoğlu Data Science Institute (HDSI). Active in organizing conferences like the Pacific Coast Gravity Meetings and workshops on computational relativity and machine learning.

• Geometric Mechanics
• Plasma Physics
• Quantum Dynamics
• +۷ مورد دیگر

Cesare Tronci is a Professor of Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. His research focuses on geometric mechanics, plasma physics, and quantum dynamics, with applications in complex fluids and hybrid quantum-classical systems. He holds adjunct roles at Tulane University (2020–2023) and has held visiting positions at institutions like the Max-Planck Institute for Plasma Physics and the Fields Institute. Education: Laurea in Nuclear Engineering (Politecnico di Torino, 2004), PhD in Applied Mathematics (Imperial College London, 2008). Professional milestones include a Humboldt Fellowship (2019) and grants from the Leverhulme Trust (£405K, 2023) and Templeton Foundation ($3M, 2021). Research interests span geometric approaches to multi-physics systems, including momentum maps, Hamiltonian techniques, and nonlinear dynamics. Key areas include plasma physics, liquid crystals, and quantum-classical coupling. Recent work emphasizes Koopman wavefunctions and hybrid models for nonadiabatic systems. Selected grants: Leverhulme Trust 'Solute motion in complex fluids' (2023), Templeton 'Life on the Edge' (2021), Royal Society International Exchanges (2020). Awards include Humboldt Fellowship (2019) and London Mathematical Society Network grants (2013–2018). Teaching includes modules on Linear Algebra, Geometric Mechanics, and online MAGIC courses. Collaborations involve global institutions like EPFL, LANL, and the Max Planck Society. Ongoing projects address quantum-classical dynamics and solvation modeling.

Edward Brownمشاهده پروفایل

استاد

• Stellar Astrophysics
• Nuclear Astrophysics
• Neutron Stars
• +۴ مورد دیگر

Edward Brown is a Professor of Physics and Astronomy at Michigan State University (MSU), with joint appointments in the National Superconducting Cyclotron Laboratory and the Department of Computational Science, Mathematics, and Engineering. He holds roles such as Associate Chair and Interim Chair in Computational Science. His research focuses on stellar and nuclear astrophysics, particularly neutron stars, compact objects, and dense matter physics. Brown earned a B.S. from Ohio State University (1993) and a Ph.D. from UC Berkeley (1999), followed by postdoctoral work at the University of Chicago. He is affiliated with the Joint Institute for Nuclear Astrophysics (JINA-CEE) and has been recognized with awards including the 2022 College of Natural Science Meritorious Faculty Award and multiple teaching prizes. His work includes groundbreaking studies on neutron star cooling mechanisms, neutrino emission processes, and the equation of state of dense matter. Collaborations span institutions like McGill University, LANL, and international teams through ISSI. Teaching innovations include progressive computational projects in stellar astrophysics courses, emphasizing modular coding and team-based learning. Students under his guidance have contributed to high-impact publications on neutron star crust dynamics and superburst ignition mechanisms. Current research leverages codes like MESA and dStar to model stellar evolution and thermal processes in neutron stars.

Sean M. Couchمشاهده پروفایل

استادیار

• Explosive Astrophysics
• Core-Collapse Supernovae
• Massive Star Progenitors
• +۳ مورد دیگر

Sean M. Couch is an Assistant Professor at Michigan State University, affiliated with the Department of Physics and Astronomy, the Department of Computational Mathematics, Science and Engineering (CMSE), and the National Superconducting Cyclotron Laboratory (NSCL)/Facility for Rare Isotope Beams (FRIB). He also serves as a Senior Investigator at the Joint Institute for Nuclear Astrophysics-Center for the Evolution of the Elements (JINA-CEE). His research focuses on explosive astrophysical phenomena, particularly core-collapse supernovae and their progenitor massive stars, leveraging computational models to study stellar dynamics, convection, and rotation effects. Dr. Couch's work bridges nuclear astrophysics and computational science, contributing to understanding element production in stars and the mechanisms driving stellar explosions. He collaborates across disciplines, integrating physics, mathematics, and engineering through his multi-departmental appointments. Key research tools include advanced numerical simulations and data from experimental facilities like FRIB. His academic contributions include publications on stellar convection and rotation dynamics, as evidenced by a 2016 paper analyzing these phenomena. He is reachable via couch@pa.msu.edu at his East Lansing office.

Milan Abel Lopuhaä-Zwakenbergمشاهده پروفایل

استادیار

• Computer Security
• Differential Privacy
• Side Channel Attacks
• +۷ مورد دیگر

Milan Abel Lopuhaä-Zwakenberg is an Assistant Professor at the University of Twente, holding dual appointments at the Digital Society Institute and the Formal Methods and Tools research group within the Faculty of Electrical Engineering, Mathematics and Computer Science. His expertise bridges theoretical computer science with practical security applications for critical infrastructure systems. His research focuses on computer security, differential privacy, and formal methods, with specialized work in attack trees, fault trees, and defense trees for modeling security vulnerabilities. He develops quantitative analysis techniques including statistical model checking and integer linear programming to address side channel attacks and risk mitigation in cyber-physical systems. His work demonstrates particular strength in translating formal verification methods into actionable security solutions for smart grids and aerospace systems. Recent publications reveal a clear trajectory toward practical implementation of theoretical security models, with increasing emphasis on real-world case studies in critical infrastructure. His 2024-2025 output shows significant expansion in satellite security applications and gridshield dependencies, while maintaining core contributions to fault tree analysis and differential privacy frameworks. The research consistently integrates quantitative metrics with formal verification to address evolving security challenges. Dr. Lopuhaä-Zwakenberg has received prestigious recognition for his contributions: Best paper award at the 14th International Conference on the Digital Society (2020) Best Paper Award at the 21st International Conference on Software Engineering and Formal Methods (2023) SPIN 2025 Best paper award (2025) As an active researcher within the Formal Methods and Tools group, he collaborates extensively on security analysis projects that combine attack-fault-defense trees with quantitative risk assessment methodologies. His team develops advanced tools for security dependency mapping in critical infrastructure, with current work focusing on satellite mission security and smart grid resilience through the Gridshield framework.

Jin Zhangمشاهده پروفایل

استاد

• Cell Signaling
• Molecular Biology
• Biochemistry
• +۳ مورد دیگر

Jin Zhang is a Professor holding joint appointments in the Departments of Pharmacology, Bioengineering, Chemistry and Biochemistry at the University of California San Diego (UCSD). He also affiliates with the Moores Cancer Center and the BioPAC (Bio-optical Probe Advancement Center). His research focuses on understanding the spatiotemporal regulation of cell signaling pathways, particularly protein kinases and phosphatases, using innovative approaches like genetically encoded fluorescent biosensors, superresolution imaging, and mathematical modeling. Key research areas include the cAMP/PKA, Ca²+/calcineurin, PI3K/Akt/mTOR, MAPK, and AMPK pathways, with applications in energy metabolism, axon development, insulin secretion, and tumorigenesis. The lab develops advanced tools such as activity biosensors, magnetic labeling strategies, and super-resolution imaging techniques to map biochemical activity architectures in living cells. BioPAC, a collaborative initiative co-founded by Zhang, aims to advance optical probe development and instrumentation to address biological and medical questions. His work bridges disciplines like biochemistry, biophysics, and engineering, emphasizing real-time visualization of signaling dynamics in native cellular contexts.

Aneta George Traikovaمشاهده پروفایل

استاد

• Electromagnetism
• Systems Engineering
• Microwave Circuits
• +۷ مورد دیگر

Aneta George Traikova is a Professor at the University of Ottawa's School of Computer Science and Electrical Engineering. She holds a Ph.D. from the University of Ottawa and dual M.Sc./B.Sc. degrees in Electrical and Computer Engineering from Sofia Technical University. She is a licensed Professional Engineer (P.Eng.) and works in EITI 4061 office. Education: Ph.D. in Engineering, University of Ottawa M.Sc. in Electrical Engineering and Computer Engineering, Sofia Technical University B.Sc. in Electrical Engineering, Computer Engineering and Nuclear Engineering, Sofia Technical University Her research focuses on electromagnetism theory, numerical modeling, microwave systems, and AI applications in big data analysis. She develops software architectures for engineering decision-making and sustainable development solutions, with systems adopted globally. Current work emphasizes mathematical modeling integration into engineering practice. Professor Traikova is affiliated with IEEE Aerospace and Systems Council and multiple international engineering associations. Her publications address engineering pedagogy, performance measurement methodologies, and advanced signal processing techniques. No formal advising or grant information is provided in available records.

• Applied Mathematics
• Computational Science
• Plasma Physics
• +۷ مورد دیگر

Giovanni Samaey is a Professor of Applied Mathematics and Mathematical Engineering at KU Leuven's Faculty of Engineering Science. He leads research in computational and multiscale methods, focusing on plasma edge modeling for nuclear fusion reactors, Bayesian inversion, and Monte Carlo algorithms. Appointed in 2011, he currently supervises ten PhD students and has held a five-year membership in the Young Academy. His work bridges academic research with societal impact, co-founding Platform Wiskunde Vlaanderen to strengthen mathematics in Flanders. Education: Graduated in Computer Science (specializing in applied mathematics) from KU Leuven (1996), completed a PhD in 2001 under Prof. Dirk Roose, supported by an NFWO fellowship. He transitioned from engineering studies due to a passion for mathematics' societal impact, initially avoiding academia but ultimately embracing teaching and research. Research Interests: Development of numerical methods for multiscale phenomena, including micro-macro acceleration algorithms, multilevel Monte Carlo techniques, and hybrid fluid-kinetic models. His work addresses challenges in plasma physics, fusion energy systems, and inverse problems. Key contributions include the X-Factor book (with Joos Vandewalle) promoting mathematics outreach and advancing computational tools for plasma edge simulations. Awards/Honors: Member of the Young Academy (2016-2021), NFWO Aspirant Fellowship (2001-2002). His efforts in STEM advocacy and mathematics promotion through Platform Wiskunde Vlaanderen highlight his dedication to education and public engagement. Advising & Leadership: Supervises a team of PhD students in applied mathematics and computational science. Active in curriculum development and interdisciplinary collaborations, particularly in fusion energy modeling. His research group contributes to codes like EMC3-EIRENE for plasma edge simulations. Labs/Teams: Leads projects in multiscale numerical methods and plasma simulation within KU Leuven's engineering faculty. Collaborates internationally on fusion reactor modeling and Monte Carlo algorithm design, emphasizing computational efficiency and scalability.

John Stanley Mattickمشاهده پروفایل

استاد

• RNA Biology
• Noncoding RNA
• Genomics
• +۷ مورد دیگر

John Stanley Mattick is the SHARP Professor of RNA Biology in the School of Biotechnology and Biomolecular Sciences at UNSW Sydney. Previously, he served as Executive Director of Genomics England (2018-2019) and Director of the Garvan Institute of Medical Research (2012-2018). He holds leadership roles in genomic research, establishing key facilities like the HiSeq X10 sequencing platform. His career includes foundational roles at the University of Queensland, including founding the Institute for Molecular Bioscience and the Australian Genome Research Facility. Education: BSc (First Class Honours, Biochemistry) from the University of Sydney (1972) PhD in Biochemistry from Monash University (1978) DSc from the University of Queensland (2024) Research focuses on regulatory RNAs, noncoding DNA functions, and their roles in development, disease, and evolution. Key areas include RNA structure-function relationships, lncRNA roles in cognition, and the epigenetic trajectories of development. His work challenges traditional views of genomic 'junk' DNA, emphasizing the centrality of RNA in genetic regulation. Publications span over 300 peer-reviewed articles, cited over 100,000 times. Notable contributions include co-authoring RNA, the Epicenter of Genetic Information (2022), which won awards for Best Science Open Access Book. Awards and Honors: Officer in the Order of Australia (AO) Fellowships in the Australian Academies of Science, Health & Medical Sciences, and Technology & Engineering Recipient of the IUBMB Medal and HUGO Chen Medal Ranked #1 globally in noncoding RNA research (2023) Leadership and Service: Chaired major international genome conferences and advisory boards Contributed to ethical frameworks for genomic research and healthcare Member of the Queensland Studies Authority (2004-2007) Current research explores RNA modification dynamics, lncRNA functions in brain plasticity, and the genomic basis of complex traits.

Esmat Elhamiمشاهده پروفایل

مدرس

• Medical Imaging
• Positron Emission Tomography (PET)
• Stem Cell Therapy
• +۳ مورد دیگر

Dr. Esmat Elhami is an Instructor III in the Department of Physics at the University of Winnipeg. He holds a Ph.D. from the University of Kentucky (2008) and a B.Sc. from Ferdowsi University, Iran (1998). His research focuses on advanced medical imaging techniques, particularly the integration of Positron Emission Tomography (PET) and Magnetic Resonance (MR) imaging for pre-clinical studies. Key areas include stem cell tracking in cardiac therapy, in-vivo quantification, and multimodality imaging applications. His work emphasizes improving diagnostic accuracy through innovations like PET-MR software development and optimizing radiotracer labeling for stem cells. He has contributed to studies on defective detector impacts in clinical imaging and nuclear structure analysis of isotopes such as Zirconium and Nickel. Dr. Elhami's publications span peer-reviewed journals and conference presentations, addressing challenges in medical imaging technology, nuclear physics experiments, and translational applications of imaging modalities. He teaches courses including Medical Imaging and Mathematical Physics at the undergraduate level.