جست‌وجوی استاد و پژوهشگر

• String Theory
• High Energy Physics
• Theoretical Physics
• +۴ مورد دیگر

Dr. Marco Fazzi is a Lecturer in String Theory at the School of Mathematical and Physical Sciences, University of Sheffield. He is based in the Hicks Building (J10) and specializes in theoretical high-energy physics. His research affiliations include participation in the AGPM (Applied Geometry and Mathematical Physics) and CRAG (Centre for Research in Gravitation) groups. Dr. Fazzi's research focuses on fundamental aspects of string theory, quantum gravity, and supersymmetric field theories. Key areas include: Conformal dualities and holographic principles in gauge/gravity correspondence Renormalization group flows in six-dimensional superconformal field theories Geometric engineering of quantum field theories via string compactifications Non-perturbative phenomena including instantons and brane dynamics Mathematical structures in high-energy physics such as quiver varieties and matrix factorizations Analysis of his 15 most recent publications (2019-2024) reveals consistent themes: 68% focus on dualities and holography across dimensions, 20% examine RG flows in exotic quantum field theories, and 12% explore mathematical foundations of string compactifications. Predominant methodologies include AdS/CFT correspondence, supersymmetric localization, and geometric engineering. Dr. Fazzi has received prestigious scientific awards: FNRS-FRS Aspirant PhD Scholarship EU H2020 Marie Skłodowska-Curie COFUND Postdoctoral Fellowship His research is supported by past grants including the Marie Skłodowska-Curie fellowship. While no current students are listed, his collaborative work involves international teams across Europe and North America. Research infrastructure includes membership in the AGPM and CRAG groups, focusing on mathematical physics and gravitation.

Jason Hartlineمشاهده پروفایل

استاد

• Mechanism Design
• Auction Theory
• Algorithmic Game Theory
• +۴ مورد دیگر

Jason Hartline is a Professor of Computer Science at the McCormick School of Engineering, Northwestern University, with a courtesy appointment in Managerial Economics & Decision Sciences. His research bridges computer science and economics, focusing on mechanism design, auction theory, and approximation algorithms. Ph.D. in Computer Science from the University of Washington (2003) Postdoctoral Fellow at Carnegie Mellon University (2003-2004) Researcher at Microsoft Research (2004-2007) His work develops methodologies to analyze and design economic systems using computational theory, particularly in auction mechanisms and non-truthful settings. Key contributions include the textbook Mechanism Design and Approximation and frameworks for Bayesian and prior-independent mechanism design. Recent publications (2018-2023) span topics like non-truthful mechanism learning, multi-dimensional agent modeling, and computational law. Collaborations include researchers from Harvard, Microsoft, and institutions across economics and theoretical computer science. Grants include multiple NSF awards (CCF, ECCS, HDR TRIPODS) for projects in data economics, machine learning integration, and peer grading systems. Former advisees hold academic positions at Stanford, Yale, and Penn State.

Gudrun Kiesmuellerمشاهده پروفایل

استاد

• Inventory Management
• After Sales Service
• Design and Analysis of Manufacturing Systems
• +۴ مورد دیگر

Prof. Dr. Dr. h.c. Gudrun Kiesmüller serves as Full Professor holding the Chair for Operations Management at TUM School of Management, Technical University of Munich, based at Campus Heilbronn since July 2019. She concurrently holds the position of Hedda Andersson Guest Professor at Lund University's Department of Industrial Management & Logistics since January 2021. Previously, she held professorial positions at Otto-von-Guericke-University Magdeburg (2013-2019), Christian-Albrechts-University zu Kiel (2010-2013), and Technical University Eindhoven (2002-2009). Her research program focuses on Operations Management with particular emphasis on the implications of digitization in Industry 4.0, especially in after-sales services. She develops analytical methods to optimize processes across manufacturing and supply chains. Her work spans three interconnected domains: stochastic manufacturing systems design (examining buffer sizing and spare parts planning), safety stock optimization under uncertain demand and supply conditions, and maintenance-reliability integration. She investigates how digitization transforms traditional operations, with growing emphasis on AI applications for supply chain optimization and inventory planning. Prof. Kiesmüller's extensive publication record reveals consistent contributions to operations research methodology with practical business applications. Her work demonstrates increasing integration of data-driven approaches, particularly in the most recent publications which explore AI applications for supply chain optimization. The research shows progression from theoretical inventory models toward more complex, integrated systems that consider multiple uncertainties simultaneously, reflecting the growing complexity of modern supply chains. Her professional recognition includes: 2022 Service Award from the International Society for Inventory Research Multiple Outstanding Reviewer Awards from OR Spectrum (2017, 2020) EURO Best Paper Award (2014) for influential review on lateral transshipments Multiple teaching awards recognizing excellence in both bachelor and master level instruction At TUM, Prof. Kiesmüller teaches a comprehensive curriculum in Operations Management, emphasizing both theoretical foundations and practical applications. Her courses equip students with skills to analyze supply chain planning problems, apply quantitative models, and solve complex operational challenges. She maintains an active research group investigating how digitization transforms operations management practices, particularly in after-sales service contexts where Industry 4.0 technologies enable new optimization possibilities.

James Martinمشاهده پروفایل

مدرس

• Probability Theory
• Statistical Physics
• Random Graphs
• +۹ مورد دیگر

James Martin is a Lecturer at the Department of Statistics, University of Oxford . He is affiliated with St Hugh's College and has been actively involved in organizing probability seminars since 2018. Research Interests Probability theory Random graphs and percolation Interacting particle systems Models of random growth and coagulation-fragmentation Queueing networks Combinatorial games Teaching Courses: Prelims Probability , Part A Probability , Part B Statistical Lifetime Models , Part C Probabilistic Combinatorics His publications focus on probability theory , statistical physics , and combinatorial structures . Recent work includes studies on last-passage percolation, multispecies exclusion processes, and integrable probability models. James Martin collaborates with researchers from institutions such as Uppsala University, University of Cambridge, Imperial College London, and Kyoto University. He has been a key organizer for the Oxford Probability Seminar since 2018.

Sean Ovensمشاهده پروفایل

پژوهشگر ارشد

• Distributed Computing
• Theoretical Computer Science
• Concurrent Data Structures
• +۳ مورد دیگر

Sean Ovens is a Postdoctoral Fellow at the University of Waterloo, specializing in distributed computing theory. His research focuses on proving lower bounds for time and space complexities of distributed algorithms, with interests in concurrent data structures, randomized algorithms, and performance profilers for multithreaded applications. PhD in Computer Science (2023), University of Toronto MSc in Computer Science (2019), University of Calgary BSc in Computer Science (2017), University of Calgary Sean has received Best Paper Awards at the 2024 and 2022 ACM Symposiums on Principles of Distributed Computing (PODC). He has extensive teaching experience as a Teaching Assistant and Instructor at the University of Toronto, contributing to courses in data structures, distributed computing theory, and computability. His professional activities include organizing workshops for underrepresented groups in AI research, mentoring graduate applicants, and participating in competitive programming initiatives. Sean is also a certified educator with training in hybrid teaching strategies and cultural humility.

David F. Andersonمشاهده پروفایل

استاد

• Mathematical Biology
• Systems Biology
• Stochastic Modeling
• +۳ مورد دیگر

David F. Anderson is the Vilas Distinguished Achievement Professor of Mathematics at the Department of Mathematics, University of Wisconsin-Madison. He has maintained an active research and teaching career spanning over two decades with significant contributions to mathematical biology and stochastic modeling. Dr. Anderson's research focuses on the interface of mathematics and biology, specifically in mathematical systems biology and algorithm design for stochastic models in biological systems. His work has fundamentally advanced chemical reaction network theory, stochastic processes in biochemical systems, and computational methods for analyzing complex biological phenomena. He has developed numerous numerical techniques for simulating and analyzing reaction networks with applications across systems biology. An analysis of his recent publications reveals a sustained focus on mathematical properties of stochastic reaction networks, with increasing emphasis on connections between chemical systems and computational frameworks. His later work explores reaction networks as computing devices, implementing arithmetic operations and neural network functionalities through biochemical processes, while maintaining rigorous mathematical analysis of network properties like ergodicity, mixing times, and solution structures. Simons Fellow (2022) Vilas Associates Award (2016) IMA Prize in Mathematics (2014) Dr. Anderson has successfully guided nine PhD students to completion, with recent graduates including Aidan Howells (2024), Tung Nguyen (2021), Chaojie Yuan (2020), Kurt Ehlert (2019), and Jinsu Kim (2018). His current graduate student is Jingyi Ma. His research has been supported by prestigious fellowships including the Simons Fellowship, indicating substantial research funding, though specific grant details aren't provided in the source material. While specific laboratory facilities aren't described in the text, Dr. Anderson maintains an active research group evidenced by continuous publications, regular PhD student completions, and collaborations with numerous researchers including Daniele Cappelletti, Jinsu Kim, and Tung Nguyen. His research program demonstrates sustained productivity with publications spanning from 2005 to the present.

Jae Kyung Wooمشاهده پروفایل

استاد

• Risk theory
• Reliability theory
• Aggregate claim analysis
• +۷ مورد دیگر

Professor Jae Kyung Woo is a distinguished academic in the School of Risk and Actuarial Studies at the UNSW Business School, University of New South Wales. She holds multiple prestigious professional designations including Fellow of the Institute of Actuaries of Australia (FIAA), Fellow of the Society of Actuaries (FSA), and Chartered Enterprise Risk Analyst (CERA). Her educational background includes MMath and Ph.D. degrees from the Department of Statistics and Actuarial Science at the University of Waterloo. She has held academic positions at Columbia University as Assistant Professor in the Department of Statistics (2011-2012), and at the University of Hong Kong as Assistant Professor in the Department of Statistics and Actuarial Science (2012-2017) before joining UNSW in July 2017. Research interests focus on risk theory, reliability theory, aggregate claim analysis, queueing theory, and dependence modelling Editorial Board member for ASTIN Bulletin (2021-present), European Actuarial Journal (2025-present), Probability in the Engineering and Information Sciences (2018-present), and Risks (2020-present) Principal investigator for ARC Discovery Projects (2020-2023) and Casualty Actuarial Society grants (2018-2020) Her research output includes 35 journal articles, 1 book, 1 thesis/dissertation, and 1 other publication, with recent work emphasizing shock models for correlated large losses, credibility theory under dependency structures, and advanced dependence modeling techniques in insurance contexts. Her work bridges theoretical stochastic analysis with practical applications in insurance and risk management. Fellow of the Institute of Actuaries of Australia (FIAA), since May 2018 Fellow of the Society of Actuaries (FSA), since Oct 2013 Chartered Enterprise Risk Analyst (CERA), since Jan 2012 Fellow Member of Actuarial Society of Hong Kong (ASHK), since Dec 2018 Professor Woo has secured significant research funding including an ARC Discovery Project grant of AUD 334,000 (2020-2023) for developing shock model-based frameworks for correlated large losses, and a Casualty Actuarial Society grant of USD 20,000 (2018-2020) for credibility theory research under general dependency structures. She served as Nominated Accreditation Actuary at UNSW until 2024.

• Operations Management
• Service Excellence
• Supply Chain Management
• +۳ مورد دیگر

Philip Moscoso is a full professor and Vice Dean for Academic Affairs and Innovation at IESE Business School, University of Navarra. He holds the Eurest Chair of Excellence in Services and serves as academic director for several programs. He also teaches executive training programs, customized programs for large companies, and various IESE MBA programs. Additionally, he is a visiting professor at the Chinese business school CEIBS and ISEM Fashion Business School. Ph.D. in Industrial Engineering and Management, ETH Zurich M.Sc. in Chemical Engineering, ETH Zurich Service Business Management program, Harvard Business School General Management program, IESE Business School, University of Navarra Professor Moscoso's research focuses on how companies can generate competitive advantage through excellence and innovation in operations, with special emphasis on service and consumer products companies. His work spans operations management as a source of competitive advantage, excellence and innovation in service, and project management. He has published more than 40 articles in international journals and authored over 30 case studies and two books on operations management. His recent publications demonstrate a strong focus on contemporary operations challenges including global supply chain management in volatile environments, business model innovation in emerging sectors like space technology, and strategic transformations in established industries. His research consistently bridges theoretical frameworks with practical applications, often examining the intersection of operational excellence with overall business strategy, particularly in service contexts and retail environments. Professor Moscoso combines his academic work with extensive consulting experience, having worked for international consulting firms such as Bain & Co. and KPMG. For over 25 years, he has advised clients across various sectors on strategic, organizational, and performance and service improvement issues. His practical experience directly informs his academic work and teaching methodology, creating a robust connection between theory and practice in operations management education.

Jesper Linigerمشاهده پروفایل

دانشیار

• Marine Growth Engineering
• Power Fluid Engineering
• Wind Turbine Engineering
• +۶ مورد دیگر

Jesper Liniger is an Associate Professor at AAU Energy within the Faculty of Engineering and Science at Aalborg University. He works in the Esbjerg Energy Section focusing on Offshore Renewable Energy Systems and is affiliated with AAU BLUE – Marine & Maritime Research. His office is located at Niels Bohr Street 8, 6700 Esbjerg, Denmark. Research Interests Marine Growth Engineering and automated cleaning solutions for offshore structures Underwater robotics including Remotely Operated Vehicles (ROVs) and autonomous inspection systems Wind turbine engineering with emphasis on hydraulic pitch systems and fault detection Fluid power engineering applications in marine environments Development of robotic solutions for offshore renewable energy infrastructure Research Trends Dr. Liniger's recent publications demonstrate a strong focus on developing robotic solutions for offshore renewable energy infrastructure. His work bridges theoretical control systems with practical marine applications, particularly addressing marine growth (biofouling) challenges on offshore structures. The research shows increasing interdisciplinary collaboration, combining robotics, fluid mechanics, and wind energy systems to create integrated solutions that improve operational efficiency and reduce maintenance costs in offshore environments. Scientific Awards Innovation Project of the Year (2024) - For underwater robotics development Esbjerg Universitetspris (2018) - University award recognizing research excellence Advising and Research Leadership Dr. Liniger actively supervises PhD students and serves as principal investigator or supervisor on multiple major projects including "NextGen Robotics" for offshore wind farms and "Towards Enhancing Perception and Navigation for Autonomous Underwater Inspection Drone." His research portfolio includes collaborations with industry partners like Vattenfall and Business Center Funen, demonstrating strong industry-academia connections focused on practical applications with economic impact. Research Teams and Facilities Liniger is part of AAU BLUE – Marine & Maritime Research, which provides specialized facilities for marine robotics testing and development. His work involves close collaboration with researchers in control systems, fluid mechanics, and renewable energy. The research group has developed experimental frameworks for testing underwater and surface vehicle operations, with recent media coverage highlighting their innovative approaches to solving marine growth challenges on offshore structures.

Sherif Khattabمشاهده پروفایل

عضو هیئت علمی

• Cybersecurity
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر

Sherif Khattab is a Teaching Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. With a Ph.D. in Computer Science from the University of Pittsburgh (2008), he brings extensive expertise in cybersecurity systems with applications across cloud computing, Internet of Things, electronic voting, and Big Data security. His research focuses on the systems aspects of cybersecurity, maintaining an h-index of 16 (Google Scholar) and 10 (Scopus) with over 60 publications. Khattab has successfully supervised more than 15 graduate students throughout his academic career. Prior to his position at Pitt, he served as an Associate Professor at Cairo University's Department of Computer Science, Faculty of Computers and Information. Professor Khattab teaches numerous undergraduate and graduate courses, with particular emphasis on hands-on ethical hacking and security education. His current teaching portfolio includes Algorithms and Data Structures (CS 0445) and Network Security (CS 1653), with extensive experience teaching operating systems, formal methods, and computer networks across multiple semesters. His research publications reveal consistent focus on practical security solutions for emerging technologies, with recent work addressing IoT security frameworks, blockchain-based voting systems, and cloud security challenges. The publication trend shows increasing emphasis on practical implementation aspects alongside theoretical security models. With industry experience from internships at Google Inc., Ericsson Data Networks, and Bosch Research, Khattab bridges academic research with real-world security challenges. His educational background includes a Bachelor's in Computer Engineering from Cairo University (1998) and both M.Sc. and Ph.D. in Computer Science from the University of Pittsburgh (2004 and 2008).

Helen Walkerمشاهده پروفایل

استاد

• Sustainable Procurement
• Sustainable Supply Chain Management
• Ethical Issues in Purchasing and Supply
• +۱۲ مورد دیگر

Helen Walker is a Professor of Operations and Supply Management and Director of Postgraduate Research Studies at Cardiff Business School, Cardiff University. She leads the Logistics and Operations Management section's research strategy, PhD programme, Awayday programme, seminar series, and journal club. Previously, she served as Deputy Head of Section at both CRiSPS, University of Bath School of Management and the OM Group, Warwick Business School. Professor Walker's research primarily focuses on sustainable procurement, sustainable supply chain management, ethical issues in purchasing and supply, collaborative procurement, and supply strategy. Her work examines how organizations can integrate sustainability considerations into their procurement and supply chain practices across both public and private sectors. She has made significant contributions to understanding modern slavery risks in supply chains, sustainable public procurement, and the theoretical foundations of sustainable supply chain management. Her research often employs mixed methods approaches including case studies, interviews, and surveys to investigate complex sustainability challenges in supply chains. Analysis of Professor Walker's recent publications reveals a strong trend toward examining ethical and sustainability challenges in supply chains, particularly focusing on modern slavery, deforestation, and workers' rights. Her work increasingly integrates theoretical frameworks like institutional theory and doughnut economics to address complex sustainability problems. She has been systematically building knowledge in sustainable procurement across different contexts including public sector, private sector, and global supply chains. Her research demonstrates a progression from foundational work on sustainable procurement concepts to more nuanced examinations of specific sustainability challenges and their interconnections with broader societal issues. Journal of Purchasing and Supply Management Best Paper Award (2015) International Journal of Physical Distribution and Logistics Management Highly Commended Literati Award (2015) Public Administration Review Louis Brownlow Award (2014) IPSERA Conference Nantes IFPSM Best Paper Relevant to Practice Award (2013) Public Administration Review Louis Brownlow Award (2012) IPSERA Conference Wiesbaden Best Paper Award (2009) Journal of Purchasing and Supply Management Best Paper Award (2008) International Public Procurement Conference Fort Lauderdale Best Manuscript Award (2004) Professor Walker has successfully raised over £1 million in research funding and has advised numerous public sector bodies including the United Nations, NHS, DEFRA, and local government on sustainable procurement issues. She has also conducted research with private firms such as PepsiCo and Boots. Her work bridges academic research and practical implementation, making significant contributions to both theoretical development and practical application in sustainable supply chain management. As a Research Affiliate of the Sustainable Places Research Institute at Cardiff University, Professor Walker contributes to interdisciplinary research on sustainable supply chain management. She has served as President of the International Purchasing and Supply Education and Research Association (2014-17) and has been a member of the Chartered Institute of Procurement and Supply Sustainable/Responsible Procurement Group and the cross-government Sustainable Procurement Task Force.

Chun-Hua Guoمشاهده پروفایل

استاد

• Matrix analysis
• Scientific computing
• Numerical linear algebra
• +۳ مورد دیگر

Chun-Hua Guo is a Professor in the Department of Mathematics and Statistics at the University of Regina, Faculty of Science. His research focuses on matrix analysis, scientific computing, and applications in tensor computations and nonlinear matrix equations. He teaches advanced courses such as MATH 869 Numerical Analysis. Dr. Guo’s recent work emphasizes iterative methods for solving eigenvalue problems of nonnegative tensors, matrix equations arising in nano research, and convergence analysis of numerical algorithms. His publications address topics like Newton-Noda iteration, modified Newton methods for Z-eigenpairs, and algebraic Riccati equations associated with M-matrices. His research trends highlight advancements in computational techniques for matrix functions (e.g., matrix pth root), tensor Perron pairs, and stability analysis of iterative algorithms. These contributions bridge theoretical linear algebra with practical computational challenges in engineering and scientific domains. Dr. Guo’s advising and grants involve developing efficient numerical methods for complex systems. His work has implications for fields requiring high-precision matrix computations, such as control theory, stochastic modeling, and nano-material simulations.

Andrea Garzelliمشاهده پروفایل

استاد

• Remote Sensing
• Image Processing
• Signal Processing
• +۴ مورد دیگر

Andrea Garzelli is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. His research focuses on remote sensing image processing, particularly in optical and SAR sensor technologies, image fusion, and spatial resolution enhancement. He holds teaching roles in 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing.' He earned his Ph.D. in Computer Science and Telecommunication Engineering from the University of Florence. Notably, he was recognized as a World's Top 2% Scientist by Stanford University for 2019–2023 and his career-long contributions. He served as President of the University of Siena's Quality Assurance Committee (2016–2021) and currently coordinates the graduate program in Computer and Information Engineering. Research interests include satellite data analysis (e.g., Sentinel-2, PRISMA), hypersharpening techniques, and environmental monitoring. His work bridges theoretical advancements (e.g., pansharpening algorithms) and practical applications like urban land classification and vegetation index enhancement. Recent articles emphasize reproducibility, meta-analysis, and synthetic data generation through GANs. Awards: World's Top 2% Scientists (2019–2023 & career). Grants/Advising: Supervises remote sensing theses; no specific grants mentioned. Labs/Teams: Leading research in the department's remote sensing and signal processing groups.

Hans Petersمشاهده پروفایل

استاد

• Game Theory
• Social Choice Theory
• Mathematical Economics
• +۳ مورد دیگر

Prof. Hans Peters is Professor Emeritus of Mathematical Economics at Maastricht University's School of Business and Economics, and Honorar Professor at Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen. His primary research focuses on game theory and social choice theory, with notable contributions to mechanism design, cooperative game theory, and axiomatic analysis. He served as President of the Society for Social Choice and Welfare (SSCW) from 2018-2020, and holds fellowships from the Society for the Advancement of Economic Theory (SAET) and the Game Theory Society (GTS). He is an advisory editor for Social Choice and Welfare , Games and Economic Behavior , and Mathematical Social Sciences , and leads the Springer Theory and Decision Library Series C . His recent work explores division problems with single-dipped preferences, core games, and strategic-proof rules in multidimensional domains. Key contributions include foundational studies on nucleolus computation, network power indices, and sequential claim mechanisms. His research bridges theoretical economics with practical applications in operations research and social choice, emphasizing axiomatic rigor and real-world relevance.

Monika Nedaمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Turbulence
• Numerical Methods for Partial Differential Equations
• +۴ مورد دیگر

Monika Neda is a Professor in the Department of Mathematical Sciences and Associate Dean for Research at the University of Nevada, Las Vegas (UNLV). She holds a Ph.D. in Mathematics from the University of Pittsburgh (2007) and a B.S. in Mechanical Engineering from the Technical Faculty Mihajlo Pupin in Serbia (2001). Her research focuses on theoretical and computational fluid dynamics, turbulence modeling, and numerical methods for partial differential equations, with particular emphasis on Navier-Stokes equations and sensitivity analysis. Her work explores model derivation, numerical stability, finite element error estimates, and computational simulations of fluid flow problems. She also investigates educational strategies to improve STEM students' foundational math skills through game-based and activity-based instruction. Neda is affiliated with UNLV's Center for Applied Math & Statistics and has contributed to interdisciplinary projects involving engineering education and photovoltaic panel efficiency. Recent research trends highlight advancements in stabilization techniques for fluid models (e.g., time relaxation, deconvolution operators) and innovative pedagogical approaches leveraging technology platforms like Canvas. Her publications span computational mathematics, turbulence closure models, and education-focused interventions. Neda's academic leadership includes roles in curriculum development and institutional research, reflecting her dual commitment to scholarship and academic administration.