جست‌وجوی استاد و پژوهشگر

David Stanfordمشاهده پروفایل

استاد

• Queueing Theory
• Stochastic Processes
• Actuarial Science
• +۴ مورد دیگر

David Stanford is a Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He earned his Ph.D. from Carleton University in 1981. His office is located in WSC 211 and he can be contacted via phone (519-661-2111 x83612) or email. Research Focus: Dr. Stanford's research spans several interconnected domains including: Queueing Theory : Specializing in multi-server systems, priority queues, and service optimization Actuarial Science : Risk modeling, ruin theory, and insurance mathematics Healthcare Operations : Applying stochastic models to transplant systems and patient flow Environmental Modeling : Forest fire prediction using compound Poisson processes His work frequently combines theoretical stochastic processes with practical applications in healthcare and environmental systems. Publication Trends: Analysis of recent publications shows a strong focus on queueing theory applications in healthcare systems, particularly modeling patient flow and organ transplant logistics. His actuarial research emphasizes advanced ruin probability calculations and risk process modeling. Environmental applications feature stochastic approaches to natural disaster prediction.

Khagendra Bhattaraiمشاهده پروفایل

مدرس

• Metamaterials
• Plasmonics
• Photonic Crystals
• +۷ مورد دیگر

Dr. Khagendra Bhattarai is a Lecturer in the Department of Physics at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He holds a Ph.D. in Applied Physics from the University of South Florida and has academic experience across multiple institutions in the U.S. and Nepal. Ph.D. in Applied Physics – University of South Florida M.S. in Physics – Western Illinois University M.S. in Physics – Tribhuvan University, Nepal His research lies at the intersection of metamaterials , plasmonics , and terahertz photonics , focusing on the design and simulation of artificially engineered materials with enhanced electromagnetic properties. He employs computer modeling to study composite and nanostructured materials for applications in sensing and optical devices. The recent publications highlight a consistent focus on plasmonic structures , metasurfaces , and refractive index sensing , particularly in the terahertz and optical regimes. Key themes include perfect absorbers, antireflection coatings, and Fabry–Perot mechanisms in engineered materials, published in journals like Optics Express and Scientific Reports . His scientific recognition includes: Summer Research Fellowship Award (2016) Duckwall Scholarship (2015) Provost’s Award for Outstanding Teaching by a Graduate Teaching Assistant Physics Graduate Scholarship (2008) Winner, NanoFlorida 2010 Poster Competition Dr. Bhattarai has taught various undergraduate physics courses such as Algebra-based Physics, Electricity and Magnetism, and lab courses. He previously served as a Teaching Assistant and Research Assistant at USF and WIU, and as a Visiting Assistant Professor at Grand Valley State University. There is no public mention of formal advisees, research grants, or dedicated research labs in the provided text.

Keith Koenigمشاهده پروفایل

استاد

• Aerodynamics
• Fluid Mechanics
• Structural Dynamics
• +۷ مورد دیگر

Keith Koenig is a Professor in the Department of Aerospace Engineering at Mississippi State University, College of Engineering. He has been a faculty member since 1978 and is actively involved in teaching and research in aerodynamics, fluid mechanics, structural dynamics, and propulsion. His office is located in Walker Engineering Building, and he can be reached at koenig@ae.msstate.edu. Education: Ph.D. in Aeronautics, California Institute of Technology, 1978 Dr. Koenig's research focuses on compressible flows, supersonic aerodynamics, rocket propulsion, and sports engineering applications such as baseball bat performance. His work bridges theoretical fluid dynamics with practical engineering applications in aerospace and sports equipment design. He has developed educational software for compressible flow analysis and contributed to standards in athletic safety. His publications from the early 1990s to 1997 show a strong trend in both fundamental gas dynamics and applied sports engineering. Key themes include supersonic conical flows, calorically imperfect gases, and biomechanical performance of sports equipment. His work often involves collaboration with colleagues and students, emphasizing engineering education and experimental validation. Scientific Awards: Outstanding Engineering Educator Award, MSU (1994) Hearin-Hess Distinguished Professor, MSU (1989) Dr. Koenig has advised numerous students through laboratory projects and capstone designs, fostering hands-on learning. His research has been funded by the Sporting Goods Manufacturing Association, Worth, Inc., CircAid, and the University of Mississippi Medical Center, indicating interdisciplinary collaboration across engineering and medical fields. He has also co-authored two textbooks in compressible fluid dynamics and rocket propulsion, contributing significantly to aerospace education. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA), reflecting his professional recognition and sustained contributions to the field of aerospace engineering.

Remus Gergelمشاهده پروفایل

استاد

• Semantics
• Syntax
• Linguistic Interfaces
• +۸ مورد دیگر

Prof. Dr. Remus Gergel is Chair of English Linguistics at Saarland University since 2016, following professorships at the University of Graz (2012-2016) and acting professorship at Göttingen (2010/11). With a Habilitation (2010) and PhD (2005) from Tübingen, he specializes in Semantics, Syntax, and their Interfaces with applications to language change, corpus linguistics, and theoretical modeling. His work spans Germanic/Romance comparative linguistics, language typology, and experimental approaches. Research Focus : Interface phenomena (semantics-syntax), diachronic processes, particle/adverb evolution Methodology : Corpus studies, computational simulations, experimental validation Recent publications examine pseudo-partitives , presuppositions , and decompositional adverbs across English, German, and Arabic dialects. Supervision includes 42 theses (2018-2025) on topics like African American English be , Turkish-English adverb trajectories, and social media discourse analysis. Contact: remus.gergel@uni-saarland.de

Ege Holger Rubakمشاهده پروفایل

دانشیار

• Spatial Statistics
• Point Processes
• Determinantal Point Processes
• +۴ مورد دیگر

Ege Holger Rubak is an Associate Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science. His research focuses on spatial statistics, point processes, and random matrix theory with applications in computational methods and data analysis. He actively contributes to open-source statistical software development and serves as Principal Investigator for the Novo Nordisk Foundation-funded project AI - Aalborg Intelligence . Academic Rank: Associate Professor Institution: Aalborg University Department: Mathematical Sciences Research Interests: Spatial statistics, determinantal point processes, composite likelihood Email: rubak@math.aau.dk Research Trends: His recent publications emphasize spatial point process diagnostics, simulation methods for determinantal processes, and statistical modeling of complex systems. The 2025 dataset on residential household occupancy reflects interdisciplinary applications in smart energy systems. Collaboration: He collaborates extensively with researchers like Adrian Baddeley, Jesper Møller, and Rasmus Waagepetersen across institutions and disciplines.

• Combinatorial Algorithms
• Decision Diagrams
• Blockchain Technology
• +۴ مورد دیگر

KAWAHARA Jun is an Associate Professor at the Department of Communications and Computers Engineering, Graduate School of Informatics, Kyoto University. He leads research in combinatorial algorithms and decision diagram applications. Research focuses on combinatorial reconfiguration, network reliability, and blockchain algorithm design Key technical contributions include ZDD-based enumeration frameworks His recent publications (2020-2025) span: Graph enumeration techniques using decision diagrams Reconfiguration problem algorithms Blockchain network optimizations Combinatorial optimization applications Notable awards include: 2024 Japan Society for Artificial Intelligence Best Presentation Award 2022 LA/EATCS-Japan Presentation Award 2019 Japanese Society for Computation and Statistics Award 2008 COMP-NHC Best Paper Award Current grants include multiple JSPS-funded projects in combinatorial algorithms and blockchain research. He collaborates with researchers like Shin-ichi Minato and Masaharu Kasahara on graph theory and network security applications.

Jem Corcoranمشاهده پروفایل

دانشیار

• Applied Probability
• MCMC Methods
• Bayesian Statistics
• +۳ مورد دیگر

Dr. Jem Corcoran is an Associate Professor in the Department of Applied Mathematics at the University of Colorado Boulder. His research focuses on applied probability and computational statistics, with an emphasis on developing advanced Monte Carlo methods and Bayesian techniques. He specializes in MCMC (Markov Chain Monte Carlo) algorithms, perfect sampling, and stochastic simulation across disciplines such as image processing, chemical reaction networks, and econometric modeling. His work integrates theoretical rigor with practical applications, addressing challenges in rare event simulation, Bayesian network inference, and high-dimensional data analysis. Notably, he has contributed to advancements in Gibbs sampling, particle filtering, and the application of coupler methods for continuous distributions. His research also explores computational efficiency in stochastic processes and algorithmic design for complex systems. Dr. Corcoran’s scholarly contributions span over two decades, with publications on topics ranging from perfect sampling in Kac equations to Bayesian fusion of particle estimates. His methodologies have been applied in fields such as systems biology, quantum mechanics, and financial time series analysis. Despite his extensive publication record, no academic awards or grants are explicitly mentioned in the provided text.

Josip Cuminمشاهده پروفایل

استادیار

• Metal Forming
• Sheet Metal Processing
• CAD/CAM Techniques
• +۵ مورد دیگر

Dr. Josip Cumin serves as an Assistant Professor at the Department of Production Engineering within the Faculty of Mechanical Engineering at Josip Juraj Strossmayer University of Osijek. With over 15 years of academic experience, he teaches core production engineering courses including Production Processes II, Tools and Devices I, and Metal Shaping by Deformation. His educational background includes: Doctor of Technical Sciences (2008-2021) from Faculty of Mechanical Engineering in Slavonski Brod Graduated in Mechanical Engineering (2002-2008) from same institution Cumin's research spans metal forming processes, CAD/CAM integration for tool production, and advanced manufacturing techniques. His work focuses on optimizing sheet metal processing for high-strength steels, welding technology, and additive manufacturing applications. Notable contributions include FEM optimization of automotive components, precision tool development, and laser-based mold regeneration techniques. His recent publications demonstrate consistent advancement in production engineering with emphasis on practical industrial applications. Analysis of his 15 most recent publications reveals strong focus on automotive component manufacturing (32%), metal forming optimization (28%), and precision welding techniques (20%), with growing interest in additive manufacturing applications (12%) and maintenance engineering (8%). His scientific recognition includes: Dean's Award for perfect 5.0 GPA Rector's Award for welding research Lions Club Award as top student Cumin actively mentors students through structured academic programs and has led significant research projects including the CAD/CAM technique development for modern production of sheet metal tools from high-strength steels in 4D (Project 152-1201787-1478). His industrial collaborations focus on practical implementation of academic research in manufacturing environments. Professionally trained in AutoCAD, Mechanical Desktop, Autodesk Inventor, SolidWorks, MSC.MARC, and Catia, he bridges theoretical knowledge with practical engineering applications through his extensive industry-relevant research and teaching activities.

Andrew Belmonteمشاهده پروفایل

استاد

• Game Theory
• Mathematical Biology
• Fluid Dynamics
• +۳ مورد دیگر

Andrew Belmonte is a Professor of Mathematics and Materials Science and Engineering at The Pennsylvania State University, and Director of the Center for Mathematical Biology. He is affiliated with the Eberly College of Science and holds a Ph.D. from Princeton University (1994). His research focuses on evolutionary game theory, mathematical biology, fluid dynamics, and turbulence. Belmonte explores applications such as game-theoretic models of fairness, population dynamics, and interdisciplinary studies of interfacial phenomena in fluids. His work bridges mathematics, biology, and engineering, with contributions to understanding collective behavior, strategy evolution, and complex system dynamics. Key areas of research include: Evolutionary games and their applications in cancer and social systems Fluid dynamics of reactive systems and interfacial instabilities Thermodynamic strategy evolution and spatial pattern formation Belmonte's recent publications emphasize game-theoretic frameworks for fairness, public goods dilemmas, and stochastic population models. His work on fluid instabilities and surfactant systems addresses practical challenges in material science and engineering. He collaborates with the Huck Institutes of the Life Sciences and directs the Center for Mathematical Biology, fostering interdisciplinary research. Belmonte has advised numerous students and contributed to grants focusing on reactive flows, colloids, and experimental hydrodynamics. His research integrates theoretical modeling, numerical simulations, and experimental observations, often highlighting the interplay between microscopic processes and macroscopic phenomena.

Andreas Göbelمشاهده پروفایل

استاد

• Computational Counting
• Randomness in Computation
• Computational Complexity
• +۴ مورد دیگر

Andreas Göbel is a Professor and Chair of Algorithm Engineering at the Hasso Plattner Institute (HPI). His research focuses on computational counting, randomness in computation, computational complexity, graph theory, and stochastic processes. He has contributed extensively to understanding diffusion processes, clique structures in networks, and algorithmic approaches to statistical physics problems. His work bridges theoretical computer science with practical algorithm design. Recent contributions include analyzing SIRS process survival times, clique dynamics in geometric random graphs, and non-linear information diffusion models. He has published widely in top-tier conferences such as IJCAI, AAAI, and SODA. Göbel teaches courses including Probability and Computing, Algorithmix, and Theoretical Foundations of Cryptography. His research group explores both foundational aspects of algorithms and real-world applications, particularly in network science and combinatorial optimization.

Luis Rabeloمشاهده پروفایل

استاد

• Distributed Simulation
• Artificial Intelligence
• Technology Management
• +۲ مورد دیگر

Luis Rabelo serves as a Professor at the University of Central Florida with his office located in Engineering Building II, Room 417. He maintains professional contact through phone (407) 882-0091 and email Luis.Rabelo@ucf.edu. His comprehensive educational foundation includes: MS in Management and Engineering (2001) from Massachusetts Institute of Technology with perfect 5.0/5.0 GPA, featuring dual-degree specialization in Systems Dynamics, eCommerce, and Technology Strategies from both Engineering School and Sloan School of Management Ph.D. in Engineering Management (1990) from University of Missouri, Rolla with 4.0/4.0 GPA, emphasizing Neural Networks and Knowledge Based Systems Hybrids in Artificial Intelligence MS in Engineering Management (1988) from University of Missouri, Rolla with 4.0/4.0 GPA focusing on Manufacturing Control, Theory of Constraints & JIT, and Business Functions MS in Electrical Engineering (1987) from Florida Institute of Technology with 3.94/4.0 GPA specializing in Computer Engineering, Digital Control, and Artificial Intelligence BS in Electrical and Mechanical Engineering (1983) from Technological University of Panama with top 5% academic standing His research program centers on Distributed Simulation, Artificial Intelligence, and Technology Management, demonstrating consistent integration of engineering principles with business strategy development. His academic trajectory reveals deep expertise in hybrid AI systems and technology-driven organizational frameworks, with particular emphasis on simulation methodologies and strategic technology implementation across complex systems. Professor Rabelo's scholarly contributions span engineering management, artificial intelligence applications, and technology strategy development, though specific publication details are not provided in the available documentation. His educational background reflects exceptional academic achievement across multiple engineering disciplines and management sciences.

Rik Blokمشاهده پروفایل

مدرس

• Complex Systems
• Game Theory
• Evolutionary Dynamics
• +۳ مورد دیگر

Rik Blok serves as a Lecturer in the Department of Computer Science within the Faculty of Science at the University of British Columbia. His teaching portfolio includes foundational courses such as APSC_V 160 (Introduction to Computation in Engineering Design), CPSC_V 302 (Numerical Computation for Algebraic Problems), and the CPSC_V 100/103/107/110 series on computational thinking and program design, with documented teaching activity spanning from 2018 through the 2025 Winter term. Dr. Blok's research centers on complex systems theory, with particular emphasis on emergent phenomena arising from interactions of simple elements. His scholarly output demonstrates interdisciplinary reach across game theory, statistical physics, and computational biology. Notable contributions include NetLogo implementations exploring cooperation dynamics in Axelrod's tournaments, climate modeling through radiation balance simulations, and medical intervention strategies using evolutionary approaches. His work consistently applies computational modeling to reveal fundamental patterns in irreducible systems. Analysis of his 15 most recent scholarly outputs reveals strong thematic continuity in studying emergent behavior through computational frameworks. Approximately 40% focus on game-theoretic approaches to cooperation and strategic decision-making, while 30% examine physical and biological systems through simulation. The remaining works bridge mathematical theory with practical implementation, demonstrating his commitment to making complex concepts accessible through computational visualization. His research methodology consistently prioritizes model utility over perfect accuracy, embracing George Box's principle that 'all models are wrong, but some are useful.' As an educator, Dr. Blok champions curiosity-driven learning and scientific skepticism, as reflected in his 'curious skeptic' philosophy. His teaching materials, including the comprehensive UBC ISCI 344 Game Theory course resources, demonstrate innovative approaches to flipping the classroom through video lectures and interactive materials. His personal website 'Rik's Treehouse' serves as both an educational resource and research portfolio, showcasing his commitment to open knowledge sharing across computational, mathematical, and scientific domains.

Gul Gurkanمشاهده پروفایل

دانشیار

• Environmental Economics
• Electricity Markets
• Renewable Energy Policy
• +۲ مورد دیگر

Gül Gürkan is Associate Professor in Econometrics and Operations Research at Tilburg University's School of Economics and Management. Her research specializes in mathematical modeling of electricity markets, renewable energy policies, and environmental economics. No detailed educational background available. Research focuses on market design for renewable energy obligations, technology banding policies, CO2 emission trading systems, and strategic investment decisions under uncertainty. Develops simulation-based optimization methods for energy systems analysis. Publications analyze policy mechanisms like UK's Renewable Obligation Order, carbon allowance impacts, and competitive electricity markets. Recent work examines consumer price effects and revenue distribution in cap-and-trade systems. No scientific awards mentioned. Advises PhD students in energy market modeling and simulation optimization. Research projects include simulation-based optimization under uncertainty and decision-making in energy markets. Affiliated with Operations Research group conducting interdisciplinary energy policy research.

John Thomasمشاهده پروفایل

استاد

• Ultra-cold Atomic Gases
• Quantum Hydrodynamics
• Fermi Gases
• +۴ مورد دیگر

John Thomas is the John S. Risley Distinguished Professor of Physics at North Carolina State University (NC State), part of the College of Sciences. He holds a B.S. (1973) and Ph.D. (1979) in Physics from MIT, where he was a Hertz Foundation Fellow and later received the C.S. Draper Chair. Before joining NC State in 2011, he was at Duke University as the Fritz London Professor. His research focuses on ultra-cold atomic gases, particularly strongly interacting Fermi gases and their hydrodynamic properties. Key contributions include developing optical trapping techniques and pioneering studies of unitary Fermi gases, which model systems like neutron stars and quark-gluon plasmas. His JETlab group explores quantum hydrodynamics, spin-energy correlations, and optical control of interactions. Notable awards include the NIST Precision Measurements Grant (1990–1993) and the Davisson-Germer Prize in Atomic Physics (2018). Recent work emphasizes universal hydrodynamic transport, spin dynamics in Fermi gases, and energy-resolved correlation measurements. His publications span quantum viscosity, shock wave dynamics, and energy-space lattice simulations. Thomas collaborates on optical control of Feshbach resonances and has advised numerous graduate students through his NC State lab.

Elie Sarrafمشاهده پروفایل

دانشیار

• Anesthesia Informatics
• Drug Titration Modeling
• Clinical Pharmacokinetics
• +۴ مورد دیگر

Elie Sarraf, MD is an Associate Professor in the Department of Anesthesiology and Perioperative Medicine at the University of Minnesota Medical School. He holds appointments across multiple clinical divisions including Alternate Site Anesthesia, ENT Anesthesia, Multi-Specialty Anesthesia, and OB Anesthesia. His research focuses on anesthesia informatics and pharmacokinetic modeling, with signature contributions to the Drug Titration Paradox theory. Key areas include clinical pharmacokinetics, medical simulation, pulse oximetry accuracy validation, and sepsis prognosis modeling using social determinants of health. His work bridges anesthesiology with data science and biomedical engineering. Analysis of recent publications reveals strong emphasis on clinical measurement validation (pulse oximetry simulation studies), drug titration theory reinterpretation, and innovative applications of computer vision for medical training. His 2025 Drug Titration Paradox paper demonstrates how perfect titration creates inverse dose-effect correlation. Dean’s Award for Excellence in Teaching (2022) Dr. Sarraf's research integrates clinical observation with computational modeling, particularly in drug delivery systems and medical device validation. His current projects include enhancing sepsis prognosis models with demographic variables and developing hand-tracking systems for surgical training. He actively collaborates across anesthesia subspecialties and biomedical engineering disciplines.