جست‌وجوی استاد و پژوهشگر

• Plasma Physics
• Low Temperature Plasmas
• Plasma Modeling and Simulation
• +۵ مورد دیگر

Ralf Peter Brinkmann is a Professor and Chair holder of Theoretical Electrical Engineering at Ruhr University Bochum, Faculty of Electrical Engineering and Information Technology, since 2000. He is actively involved in research as a member of the Center for Plasma Science and Technology and a board member of the Collaborative Research Centre 591 ("Universal Behaviour of Non-Equilibrium Plasmas: Heating, Transport, and Structure Formation") since 2003. His office is located at Room ID 1/127, Universitätsstraße 150, D-44801 Bochum, with contact via brinkmann@tet.rub.de. His educational background includes: Diploma in Physics (1984) from Ruhr-University Bochum Diploma in Electrical Engineering (1985) from Ruhr-University Bochum PhD (Dr. rer. nat.) in theoretical astrophysics (1986) from Ruhr-University Bochum Brinkmann's research centers on low-temperature plasma physics, specifically modeling and simulation of technical plasmas, theory of plasma edge layers, and model-based plasma diagnostics. He investigates electron dynamics, power absorption mechanisms, and sheath behavior in capacitive coupled radio frequency discharges, magnetron plasmas, and atmospheric pressure plasma jets, with focus on kinetic effects and electromagnetic phenomena. Analysis of his recent publications (2023-2025) reveals strong emphasis on electromagnetic particle-in-cell simulations, time-resolved plasma transition studies (E-H, capacitive-inductive), and thermodynamic quasi-equilibria in high-power magnetrons. Key trends include rotational spoke dynamics in ExB plasmas, nonlocal electron transport, and diagnostic tools like the multipole resonance probe. Scientific awards: No scientific awards listed for Brinkmann in the provided text Brinkmann has advised PhD and Master's students (specific names unlisted) and secured major research funding through Collaborative Research Centre 591 under the German Research Foundation. His work includes industry collaborations with Siemens AG/Infineon Technologies and academic partnerships with Stanford University, University of Chicago, and Old Dominion University. He leads research within the Center for Plasma Science and Technology and Collaborative Research Centre 591, developing advanced plasma models and diagnostic probes. His team focuses on computational frameworks for plasma edge layers, magnetron discharge kinetics, and industrial plasma process optimization, particularly for semiconductor and thin-film applications.

Dipak Deyمشاهده پروفایل

استاد

• Bayesian analysis
• Bioinformatics
• Biostatistics
• +۸ مورد دیگر

Dipak Dey is a Professor in the Department of Statistics at the University of Connecticut . His work bridges theoretical and applied statistics, with a focus on Bayesian methodologies and computational statistics. Affiliations : University of Connecticut, Department of Statistics Contact : dipak.dey@uconn.edu , Office: AUST 327, Phone: (860) 486-4755 His research interests span Bayesian analysis , Biostatistics , Computational statistics , Statistical genetics , and Spatio-temporal modeling . He has pioneered techniques in spatial curvature processes and scalable Bayesian algorithms for large datasets. Recent publications highlight his contributions to Bayesian spatial modeling (blockNNGP, curvature processes), survival analysis (skew-t distributions, cure rate models), and computational statistics (variable selection in Gaussian processes, fast inference algorithms). Applications include insurance data , epidemiology , and environmental statistics . Scientific Awards : Board of Trustees Distinguished Professor (University of Connecticut) He actively collaborates on interdisciplinary projects and mentors researchers in advanced statistical methodologies for complex data structures.

• Biomedical Engineering
• Computational Neuroscience
• Medical Imaging
• +۳ مورد دیگر

Santtu Söderholm is a doctoral researcher affiliated with the Mathematics Research Centre. His academic focus lies within biomedical engineering and computational neuroscience, utilizing numerical simulation techniques to analyze cerebral blood flow and electrical conductivity in brain tissue. His research interests include: Computational modeling of cerebral hemodynamics Dynamic brain imaging techniques EEG source reconstruction Multi-compartment head modeling Impact of blood circulation on biomedical signals Finite element method applications in neuroimaging Recent publications highlight his work on diffusion approximation in microcirculation analysis (2025), dynamic impact modeling (2024), and the Pressure–Poisson equation's role in simulating arterial flow (2023). Santtu has also contributed to open-source datasets and presented on computational assessment methods at a conference in 2018.

Flavio SARTORETTOمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Science
• Medical Signal Processing
• +۴ مورد دیگر

Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.

Remco Hartkampمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Electrochemistry
• Nanofluidics
• +۴ مورد دیگر

Remco Hartkamp is an Associate Professor at Delft University of Technology (TU Delft), leading the Interfacial Fluid Phenomena Group within the Process & Energy Department of the Faculty of Mechanical Engineering. His academic journey includes a PhD from University of Twente and Swinburne University of Technology (2013), an MSc in Mechanical Engineering from University of Twente (2009), and a BSc in Mechanical Engineering (2007). Prior to his current role, he held postdoctoral positions at Vanderbilt University and MIT. His research focuses on interfacial fluid phenomena, combining molecular dynamics, lattice Boltzmann simulations, and experimental techniques to study electrokinetic transport, electrochemical conversion, and energy storage. Key areas include nanofluidic systems, electrolyte behavior in confined environments, and bubble dynamics in electrolysis. Collaborations span institutions like KIT (Germany), Imperial College London, and Marcoule ISC (France). Notable achievements include securing an NWO Vidi grant (2023) and overseeing a dynamic team of PhD and MSc students. Recent projects involve CO₂ electrolysis optimization and laser-induced crystallization. His work has been published in high-impact journals such as ACS Nano , Nature Materials , and Physical Review Letters .

Ferdian Jovanمشاهده پروفایل

استادیار

• Mobile Robotics
• Multimodal Learning
• Time Series Analysis
• +۱۱ مورد دیگر

Ferdian Jovan is an Assistant Professor (Lecturer) at the University of Aberdeen, affiliated with the Aberdeen - South China Normal University Joint Institute within the School of Natural and Computing Sciences. He is also a visiting research fellow at the Faculty of Engineering, University of Bristol. PhD in Computer Science, University of Birmingham (2019) MSc in Computational Logic, Technische Universitaet Dresden (2014) BSc in Computer Science, Universitas Indonesia (2010) His research focuses on mobile robotics, multimodal learning, and time series analysis , with applications in service robotics, energy, healthcare, and extreme environments. He is particularly interested in AI systems that function efficiently in dynamic, resource-constrained settings. His expertise bridges statistical machine learning and real-world robotic deployment. His recent publications show a strong trend in applied AI for robotics and health , including work on digital biomarkers for Parkinson’s disease, battery health prediction, multirobot windfarm maintenance, and adaptive planning. These works have been presented at top venues like KDD, IAAI, and published in journals such as Autonomous Robots and Journal of Field Robotics. DAAD AInet Fellow for Human Centered AI (2023) Ferdian advises PhD students and is actively involved in research collaborations across the UK and internationally. He has held research positions at the University of Bristol, Royal Holloway University of London, and the University of Oxford. His work often involves interdisciplinary teams and real-world data, emphasizing robust and deployable AI solutions. He is associated with the Department of Computer Science at the Meston Building, University of Aberdeen, and leads research in intelligent systems for extreme and dynamic environments.

Torkel Erhardssonمشاهده پروفایل

دانشیار

• Probability Theory
• Stochastic Processes
• Statistical Inference
• +۷ مورد دیگر

Torkel Erhardsson is an Associate Professor (Docent) in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA), where he conducts research in probability theory, stochastic processes, and statistical inference. His research interests include: Bounds for distances between probability distributions using Stein's method and couplings Applications to normal and compound Poisson approximations Bayesian nonparametric inference and asymptotics of posterior distributions Higher-dimensional autoregressive processes with random coefficients Reciprocal chains and reciprocal random fields on undirected graphs His recent publications (2008–2023) in journals such as Journal of Applied Probability , Advances in Applied Probability , and IEEE Transactions on Automatic Control reflect a strong focus on theoretical probability and its applications, particularly in approximation methods and stochastic modeling. The work shows increasing emphasis on graphical models and reciprocal processes in recent years. There are no listed scientific awards or honors in the provided materials. Torkel Erhardsson actively contributes to the academic life at Linköping University, participating in seminars in statistics and mathematical statistics. There is no public information indicating student advising, grant funding, or leadership of specific research labs or teams.

Constantine Mukasaمشاهده پروفایل

استاد آموزشی

• Engineering Education
• Diverse and Inclusive Learning Environments
• Wireless Communications
• +۳ مورد دیگر

Constantine Mukasa is an Associate Teaching Professor in the First Year Engineering Program at the College of Engineering, Northeastern University. His office is located at 368E Snell Engineering Center (SN), 360 Huntington Avenue, Boston, MA 02115. He is actively involved in initiatives to enhance engineering education through collaborative and inclusive learning environments. His research interests span both engineering education and wireless communications. In education, he focuses on fostering student engagement and diversity in early engineering curricula. In technical domains, his work addresses stochastic modeling of wireless networks, interference analysis, and cognitive radio systems. In 2020, he contributed to College of Engineering (COE) presentations at the ASEE Virtual National Conference, highlighting his involvement in advancing educational and technical scholarship. His publications analyze network performance under diverse fading conditions and interference scenarios, reflecting expertise in signal processing and communication theory. No specific grants or advisees are listed, but his programmatic role suggests significant contributions to undergraduate curriculum development and student mentorship. No dedicated labs or teams are explicitly mentioned in the provided information.

• Applied Mathematics
• Statistics
• Strategy
• +۷ مورد دیگر

Prof. Hanqin Zhang is a Professor in the Department of Analytics And Operations at the National University of Singapore (NUS Business School). He holds a Doctor of Science from the Chinese Academy of Sciences (1991) and a Master of Science from Xian Jiaotong University (1985). His research focuses on applied mathematics, statistics, strategy, transportation logistics, control engineering, and numerical methods. He has served as an associate editor for journals like European Journal of Operational Research and TOP , and has reviewed for top-tier journals including Operations Research and Queueing Systems . His recent work addresses optimal inventory policies, queueing systems, and stochastic control, with notable contributions to dual-sourcing strategies, staffing optimization in ticket queues, and fluid models of parallel service systems. He has supervised students in stochastic processes and inventory management, reflecting his expertise in bridging theoretical advancements with practical applications in operations research. Notable research trends include leveraging order-tracking information for inventory systems, analyzing ergodicity in Markov chains, and optimizing multi-source supply chains under uncertainty. His publications span high-impact journals such as Operations Research and Queueing Systems , showcasing a focus on stochastic systems and operations management.

Ruihua Liuمشاهده پروفایل

استاد

• Financial Mathematics
• Computational Finance
• Stochastic Optimal Control
• +۵ مورد دیگر

Ruihua Liu is a Professor in the Department of Mathematics at the University of Dayton, College of Arts and Sciences. He has been a full-time faculty member since 2004, achieving tenure as Associate Professor in 2010 and promotion to Full Professor in 2016. Educational Background: Ph.D., Engineering Science (Control Theory and Application), Nankai University, China, 1994 Ph.D., Mathematics, University of Georgia, 2001 M.S., Computer Science, University of Georgia, 2001 M.E., Engineering Science, Nankai University, 1988 B.E., Engineering Science, Nankai University, 1985 Ruihua Liu's research lies at the intersection of financial mathematics and stochastic control. His work emphasizes computational finance , particularly in developing numerical methods such as recombining trees and lattice models for pricing options under complex dynamics. A central theme in his research is the use of regime-switching models to capture structural changes in financial markets. He investigates optimal investment and consumption strategies , often incorporating realistic features like proportional transaction costs. His analytical focus includes stochastic optimal control, optimal stopping, and singular control problems, with applications in portfolio optimization and stock liquidation strategies. The 15 most recent publications show a consistent trajectory in applying advanced stochastic analysis to financial decision-making under uncertainty. Key trends include the development of computational algorithms for regime-switching frameworks, solving optimal control problems with state-dependent switching rates, and modeling market behaviors using multi-scale and diffusion processes. These works span top journals in applied mathematics, control theory, and financial engineering, indicating a strong interdisciplinary impact. Scientific Awards and Honors: No specific awards mentioned in the provided text. Advising and Grants: While no formal list of students is provided, his extensive publication record with multiple collaborators suggests active involvement in mentoring graduate students and junior researchers. Though specific grants are not listed, his research output in high-impact journals implies successful acquisition of external funding to support his work in financial mathematics and stochastic modeling. Laboratories and Research Teams: Ruihua Liu is affiliated with the Department of Mathematics at the University of Dayton. While no named lab or center is mentioned, his collaborative work with researchers such as G. Yin, Q. Zhang, and P. Eloe suggests participation in a research group focused on stochastic systems and financial applications.

Dimitri Shlyakhtenkoمشاهده پروفایل

استاد

• Free Probability Theory
• Von Neumann Algebras
• C*-Algebras
• +۶ مورد دیگر

Dimitri Shlyakhtenko is a Professor at the University of California, Los Angeles (UCLA) Department of Mathematics, with a distinguished career in free probability, operator algebras, and von Neumann algebras. He has held leadership roles as Department Chair (2012-2015) and Director of the Institute for Pure and Applied Mathematics (2017-). Ph.D. in Mathematics (1997) from UC Berkeley under Dan-Virgil Voiculescu . B.S. with high distinction from the University of Nevada, Reno (1993). His research spans free probability , von Neumann algebras , C*-algebras , L2-invariants , and Poisson geometry . He has pioneered connections between free probability and random matrix theory, subfactor classifications, and non-commutative transport equations. Recent work includes inequalities for free entropy dimension and duality in non-commutative optimal transport. His 15 most recent publications focus on free entropy dimension, crossed products, non-commutative transport, and classification of von Neumann algebras. Topics include non-microstates free entropy , free group factors , quasi-regular inclusions , and type B free probability , with applications to quantum information and ergodic theory. Scientific Awards : Sloan Foundation Fellowship (2001), NSF Fellowships (1994, 1998), Clay Mathematics Institute award (2002), and Bourbaki Seminar recognition (2004). Organized major conferences at Fields Institute, Oberwolfach, IPAM, and UC Berkeley on quantitative linear algebra, free probability, and von Neumann algebras. He has mentored 12 Ph.D. students, including David Jekel and Max Zhou , with research in free analysis and operator-valued distributions. His work also involves collaborations with leading mathematicians like Alain Connes and Sorin Popa .

Owen Jonesمشاهده پروفایل

استاد

• Operational Research
• Stochastic Modeling
• Environmental Science
• +۷ مورد دیگر

Professor Owen Jones is a Chair in Operational Research at the School of Mathematics, Cardiff University. His work focuses on applying mathematical modeling and optimization techniques to address challenges in environment, energy, and sustainability, including renewable energy systems, water management, and disaster risk quantification. Operational Research Stochastic Modeling Environmental Data Analysis Renewable Energy Optimization His research spans environmental science, hydrology, and computational methods, with recent work leveraging approximate Bayesian computation (ABC) and generative adversarial networks (GANs) to model climate impacts, water systems, and biological dynamics. Articles highlight innovations in wastewater surveillance, bat roost detection, and tidal energy optimization. Professor Jones supervises advanced students in areas like spatio-temporal modeling, emergency response simulation, and multifractal processes. He has secured grants for interdisciplinary projects, including UKRO-funded freshwater solutions, GCRF wastewater monitoring, and EU Horizon2020 climate adaptation initiatives. He is part of the Operational Research group at Cardiff University and has collaborated with institutions such as the Australian Department of Agriculture, Fisheries and Forestry, and the EU Horizon2020 program.

• Risk Theory
• Actuarial Mathematics
• Bankruptcy Theory
• +۴ مورد دیگر

Χατζηκωνσταντινίδης Ευστάθιος is a Professor at the University of Piraeus in the Department of Statistics and Actuarial Science. His academic career spans decades with significant contributions to actuarial mathematics and statistical theory. He teaches undergraduate courses in Actuarial Mathematics, Risk Theory, and Reliability Theory, and postgraduate courses in Generalized Linear Models and Risk Management. Education: PhD in Mathematics (1990) - Aristotle University of Thessaloniki (Grade: Excellent) BSc in Mathematics (1985) - Aristotle University of Thessaloniki (Grade: Excellent) Research Focus: His work centers on risk theory, bankruptcy modeling, compound Poisson processes, and optimal experimental designs. He has developed innovative approaches to: Perturbed risk models with diffusion processes Copula-based dependence modeling in insurance Gerber-Shiu function analysis for dividend strategies Recursive methods for compound distributions His research bridges theoretical mathematics with practical actuarial applications. Publication Trends: Analytical studies of stochastic processes dominate his recent work, focusing on: Ruin probabilities and deficit distributions Dependence modeling using copulas Optimal dividend strategies Computational methods for risk models Earlier publications emphasize experimental design optimization and reliability theory. Administrative Leadership: Chair of Department of Statistics and Actuarial Science (2007-2009) Director of Postgraduate Program in Actuarial Science & Risk Management Member of Senate of University of Piraeus Deputy Chair of Ministry of Finance's Actuarial Examination Committee Research Projects: Has participated in multiple funded projects including: 'Optimal Experimental Designs' (Greek Ministry of Education) 'Modern Model for Actuarial Studies Preparation' (University of Piraeus) EPEAEK programs on statistical applications

Sajidah Ahmedمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Nuclear Fusion
• Turbulence
• +۲ مورد دیگر

Sajidah Ahmed is a plasma physicist affiliated with the University of York and actively contributes to nuclear fusion research. Her work focuses on turbulent phenomena in magnetically confined fusion plasmas, particularly the dynamics of scrape-off layer (SOL) fluctuations and their impact on plasma-wall interactions. Doctoral research (2023) on Intermittent fluctuations in the boundary of magnetically confined fusion plasmas . Published studies in leading fusion journals on topics such as filament propagation, MHD instabilities, and pulse superposition modeling. Research Highlights: Her research addresses critical challenges for commercial fusion reactors, including: Characterizing blob-like turbulent structures in SOL regions. Reconstructing intermittent time series using deconvolution methods. Investigating density limits and plasma confinement in devices like Alcator C-Mod and MAST Upgrade.

María Ignacia Vicuñaمشاهده پروفایل

دانشیار

• Business Analytics
• Quantitative Methods
• Time Series Analysis
• +۳ مورد دیگر

María Ignacia Vicuña is an Associate Professor at the School of Administration, Pontificia Universidad Católica de Chile, specializing in Business Analytics and Quantitative Methods. She holds a Ph.D. in Statistics from the same university. Education : Ph.D. in Statistics, Pontificia Universidad Católica de Chile Her research focuses on time series analysis and forecasting, with applications in public health and operational research. Recent work includes modeling ICU demand during the 2021 Chilean COVID-19 pandemic and developing statistical frameworks for epidemic progression. Key trends in her publications: integration of nonlinear time-series models for pandemic scenarios, multivariate quasi-Poisson regression in epidemiology, and methodological advancements in locally stationary processes. Programs : Associated with the MBA and Commercial Engineering programs