جست‌وجوی استاد و پژوهشگر

Chris Rogersمشاهده پروفایل

استاد

• Financial mathematics
• probability theory
• stochastic analysis
• +۲ مورد دیگر

Chris Rogers is a Professor of Statistical Science within the Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge, actively contributing to research at the intersection of probability theory, stochastic analysis, and financial applications. His academic profile reflects deep engagement with mathematical finance and theoretical probability through publications and departmental affiliations. His research spans financial mathematics, probability theory, stochastic analysis, statistics, and mathematical economics, with emphasis on rigorous mathematical frameworks for financial markets. Key themes include option pricing mechanisms, stochastic process modeling, and geometric probability applications, often addressing real-world financial instruments like Asian options and S&P500 index behaviors through advanced probabilistic techniques. Analysis of his 15 most recent publications (2016-2018) reveals consistent focus on stochastic calculus applications in finance, particularly Lévy processes, diffusion models, and optimal stopping problems. His work bridges theoretical probability with quantitative finance, demonstrating expertise in translating complex stochastic phenomena into financial modeling solutions across asset pricing, risk assessment, and market analysis domains. No scientific awards were documented in the provided source material. Information regarding PhD/Master's student supervision, research grants, or collaborative teams was not specified in the available texts, indicating absence of such details in the source documentation.

• Topological Data Analysis
• Stochastic Geometry
• Large Deviations Theory
• +۴ مورد دیگر

Christian Hirsch is an Associate Professor for Data Science and Statistics at Aarhus University, where he studies random networks motivated from biology and health sciences through techniques from topological data analysis and stochastic geometry. He is a member of the Stochastics group at the Department of Mathematics and holds additional affiliations as an Associate Fellow of the Aarhus Institute for Advanced Studies, and with the AU DIGIT Centre and the AU Quantum Campus. Current Position: Associate Professor for Data Science and Statistics, Aarhus University Previous Positions: Assistant Professor at University of Groningen and University of Mannheim Postdoctoral Experience: Aalborg University, LMU Munich, WIAS Berlin Education: PhD from Ulm University Christian Hirsch's research focuses on the statistical foundations of topological data analysis, large deviations theory in stochastic geometry, and percolation theory of spatial random networks. His work bridges theoretical mathematics with practical applications in data science, particularly in analyzing complex structures through topological methods. He investigates how topological features form and disappear in growing data structures, developing statistical tests to determine whether observed patterns are significant or merely random occurrences. His recent publications reveal a strong trend toward applying topological data analysis to increasingly complex structures, with significant focus on statistical validation of topological features. Hirsch has made substantial contributions to understanding the probabilistic behavior of persistent homology, developing functional central limit theorems and large deviation principles for topological functionals. His work spans theoretical foundations in stochastic geometry while finding applications in materials science, neural networks, and wireless communication systems. As an educator, Hirsch teaches graduate courses including Topological Data Analysis, Stochastic Geometry, Monte Carlo Simulation, Markov Decision Processes, Probability Theory, and Stochastic Processes. He has supervised numerous PhD, MSc, and BSc students, with several of his former students securing academic positions at institutions like University of Leiden, Tokyo Institute of Technology, and Budapest University of Technology. Hirsch leads a research group within the Stochastics group at Aarhus University, collaborating extensively with researchers across Europe and North America. His work demonstrates how topological methods can provide rigorous statistical insights into complex data structures, making significant contributions to both theoretical mathematics and practical data analysis techniques.

Arijit Chakrabartyمشاهده پروفایل

استاد

• Random Matrix Theory
• Heavy-Tailed Distributions
• Large Deviations
• +۵ مورد دیگر

Arijit Chakrabarty is a Professor at the Theoretical Statistics and Mathematics Unit of the Indian Statistical Institute, Kolkata, India. His research focuses on random matrix theory, heavy-tailed distributions, large deviations, and long-range dependence. He can be reached via email at arijit.isi@gmail.com. Research Interests: Random matrix theory, Heavy-tailed distributions, Large deviations, Long-range dependence, Spectral analysis, Stochastic processes Publications Trends: His 15 most recent articles span random matrix theory, large deviations, Gaussian processes, and free probability. Key topics include eigenvalue analysis in random graphs, excursion lengths in Gaussian processes, and clustering of extremes in memory regimes. Lecture Notes: He has produced educational materials on Measure Theoretic Probability, Martingale Theory, and Probability Theory, partially in collaboration with Arup Bose and Rajat Hazra. These notes are accessible online and reflect his teaching contributions.

Gabriele Abelsمشاهده پروفایل

استاد

• Comparative Politics
• European Integration
• Gender Studies
• +۱۲ مورد دیگر

Prof. Dr. Gabriele Abels is a Full Professor of Comparative Politics and European Integration at the Institute of Political Science, University of Tübingen, within the Faculty of Economics and Social Sciences. She has held a Jean Monnet Chair since 2011 and served as Director of the Jean Monnet Center of Excellence PRRIDE (2015–2018) and President of the German Political Science Association (DVPW) from 2012 to 2015. Since 2021, she has been a member of the Constitutional Court of Baden-Württemberg, underscoring her significant role in public and academic life. Research Interests: Her research spans Comparative Politics , European Integration , Gender Studies , Federalism , and EU Governance . She investigates the role of regional parliaments, gender equality policy, democratization, and the legitimacy of EU institutions, with a focus on the Conference on the Future of Europe and the von der Leyen Commission. Her work integrates feminist theory into European integration studies, analyzing gendered dimensions of leadership, representation, and policy-making. Recent Publications: Her most recent scholarly contributions examine masculinities in post-conflict settings, gender and intersectionality in the 2021 German election, and the EU's gender equality strategy. She has also published extensively on regional governance, parliamentary scrutiny, and historical perspectives on women's political representation. Her work appears in journals like Peacebuilding , Journal of Common Market Studies , and The Journal of Legislative Studies , and in edited volumes on gender and EU politics. Scientific Awards and Honors: Jean Monnet Chair 'ad personam' (since 2011) President, German Political Science Association (2012–2015) Director, Jean Monnet Center of Excellence PRRIDE (2015–2018) Member, Constitutional Court of Baden-Württemberg (since 2021) Advising and Grants: She has supervised numerous Master's theses in the 'Democracy and Governance in Europe' (MADRE) program and led funded research projects, including the Jean Monnet Center of Excellence. She has participated in EU-funded initiatives such as Erasmus+ and organized student excursions to Brussels, facilitating direct engagement with EU institutions and practitioners. Her leadership roles in research centers and academic associations reflect sustained grant and institutional support. Labs and Teams: She leads research within the Institute of Political Science and collaborates with the European Center for Research on Federalism. She has coordinated the PRRIDE research center and works with a team including Dr. Martin Große Hüttmann, Dr. Lisa Damaschke-Deitrick, and other scholars. Her work involves close collaboration with international partners and visiting scholars, fostering a dynamic research environment focused on European integration and governance.

Lacra Pavelمشاهده پروفایل

استاد

• Game Theory
• Control Theory
• Optimization
• +۷ مورد دیگر

Lacra Pavel is a Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. She joined the department in August 2002 after industry experience at Nortel Networks and Solinet Systems, and remains active in the System Control Group and Photonics Group. Her educational background includes: Diploma of Engineering (with distinction) in Automatic Control, Technical University Gh. Asachi of Iasi, Romania (1989) PhD in Electrical and Computer Engineering, Queen's University at Kingston (1996) Research focuses on integrating game theory, control theory, and optimization within networked systems. She pioneered applications in noncooperative/evolutionary game theory for network control, nonlinear/robust control frameworks, and energy-efficient optical/transportation networks. Current work develops mathematical foundations for learning in games via control-theoretic approaches to enable autonomous multi-agent network optimization. Recent publications (2019-2013) reveal dominant trends: distributed Nash equilibrium seeking using passivity-based and operator-splitting methods, stability analysis for optical network power control with time-delays, and extensions to transportation systems like railway timetabling. Key subfields include graphical games, ADMM algorithms, and Lyapunov-based boundary control for distributed parameter systems. Scientific recognition includes: Fellow of the IEEE (2025) for contributions to game theory, control, and optimization for network systems Connaught New Staff Award, University of Toronto (2003) New Opportunities Infrastructure Award, CFI/OIT (2003) Award for Innovation, Solinet Systems (2001, 2002) Inventor Recognition Award, Nortel Networks (2000) She has advised over 20 graduate students including current PhD candidates and former students now at MIT, Princeton, Amazon, and Ciena. Major grants include the CFI/OIT New Opportunities Infrastructure Award (2003). Her research bridges theoretical game control with practical implementations in optical and transportation networks. As co-director of the System Control Group and member of the Photonics Group, she leads teams developing algorithms for autonomous network optimization. Current projects focus on stochastic approximation methods for multi-agent learning and energy-efficient network design.

Anders Rønn-Nielsenمشاهده پروفایل

دانشیار

• Applied Probability Theory
• Lévy-Based Modelling
• Statistical Methods in Efficiency Analysis
• +۳ مورد دیگر

Anders Rønn-Nielsen is an Associate Professor at the Department of Finance and Center Coordinator at the Center for Statistics at Copenhagen Business School (CBS). He holds a M.Sc. in Statistics from University of Copenhagen and a PhD in Statistics and Probability Theory from Aarhus University. His research focuses on applied probability theory, particularly Lévy-based spatial models, and statistical efficiency analysis. His academic credentials include: M.Sc. in Statistics, University of Copenhagen PhD in Statistics and Probability Theory, Aarhus University Research interests span: Lévy processes and spatial stochastic modeling Extreme value theory applications in finance and natural sciences Nonparametric production frontier analysis Efficiency measurement methodologies His publications (18+ articles) emphasize theoretical probability and statistical applications in efficiency analysis. He has served as external examiner at Aarhus University and Copenhagen University for master’s and PhD examinations (2017–2019). His teaching responsibilities include advanced probability theory courses and statistical methods training for economics students.

• Mobilities Research
• Cultural Geography
• Literary Theory
• +۳ مورد دیگر

Professor Lynne Pearce is a distinguished academic at Lancaster University, affiliated with the Faculty of Arts and Social Sciences (FASS) and the English and Creative Writing department. She has held significant administrative roles, including Director of Postgraduate Studies (2010-13) and core tutor for the Faculty's PGR Research Training Programme since 2004. As Co-Director (Humanities) of Lancaster's Centre for Mobilities Research (CeMoRe), she leads interdisciplinary research initiatives. Her work bridges feminist literary theory, cultural geography, and mobilities studies, with a focus on auto/mobility, spatial narratives, and relationships. Her research emphases include the intersections of mobility with love, memory, and climate change, as seen in publications like Drivetime: Literary Excursions in Automotive Consciousness (2016) and Mobility and the Humanities (2017). She co-edits the Palgrave Studies in Mobilities, Literature and Culture series and serves as Associate Editor for Transfers . Professor Pearce has supervised approximately 40 PhD students, prioritizing postgraduate training and student experience improvement. Her projects include AHRC-funded 'Moving Manchester' (2006-2010) and collaborations on mobility in the climate emergency context. Her involvement in CeMoRe and the Centre for Gender Studies reflects her commitment to interdisciplinary research. She remains active in editorial and conference roles despite being currently on leave, maintaining accessibility via l.pearce@lancaster.ac.uk.

Anders Rickegårdمشاهده پروفایل

مدرس

• Urban Planning
• Regional Planning
• Human Geography
• +۴ مورد دیگر

Anders Rickegård serves as a Lecturer in the Department of Human Geography at Stockholm University's Faculty of Social Sciences. Holding a BA and MSSc, he has been actively involved in urban and regional planning education since 1995 with numerous leadership roles including Assistant Director of Studies for bachelor's and master's programs, and Programme Director for the BSc in Urban and Regional Planning. His research interests focus on sustainable urban development, planning practices, and regional transformation. Rickegård participates in the PLANTS research project (2021-2025) examining planners' roles in sustainable urban transitions, funded by the Swedish Research Council. His scholarly work emphasizes practical applications of planning theory through fieldwork and international collaboration. Rickegård's publications demonstrate expertise in sustainable planning approaches and urban transformation processes. His recent work analyzes how planners can serve as agents for sustainable transition and examines practical fieldwork methods in planning education. His 2015 publication on structural changes in the Ruhr region shows his interest in post-industrial urban transformation. As a dedicated educator, Rickegård coordinates multiple courses including Urban and Regional Planning – Foundations, Bachelor's Thesis in Urban and Regional Planning, and field courses in Sweden and Berlin through the Erasmus+ blended intensive programme. He has led urban excursions since 2013 and coordinates international field projects in European regions. Administratively, Rickegård serves on the Steering Group for the Bachelor's Programme in Urban and Regional Planning as convener, the Department of Human Geography Board as an additional member, and chairs the Committee for Work Environment, Equal Opportunities and Environment (ALM). His previous administrative roles include Acting Faculty Director of Education and International Coordinator for the Department.

• Ethnomusicology
• Comparative Musicology
• Postcolonial Music Studies
• +۴ مورد دیگر

Martin Ringsmut is a Lecturer at the Department of Musicology of the University of Vienna , specializing in ethnomusicology, cultural memory, and postcolonial studies. He coordinates courses on The Methods of Ethnomusicology , Writing Culture , and Music and Sustainability , with recent fieldwork-focused teaching including excursions to Cabo Verde.

Yizao Wangمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Extreme Value Theory
• +۴ مورد دیگر

Yizao Wang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. from the University of Michigan (2012) and specializes in Probability Theory, Stochastic Processes, and their applications, with a focus on extreme value theory, long-range dependence, and random fields. His research includes studies on asymmetric exclusion processes, fractional Brownian motion, and self-similar processes. Education : Ph.D. in Mathematics, University of Michigan, 2012. Research Interests : Probability theory, stochastic processes, extreme value theory, long-range dependence, random fields, limit theorems, and applications in finance and statistics. His work frequently explores the interplay between combinatorial structures and stochastic models, such as random partitions and operator-scaling processes. Grants : He has led and co-led multiple grants, including: DoD Army Research Laboratory: Advances in Extreme Value Theory with Long-Range Dependence ($84,229, 2020–2023) National Security Agency: From Random Partitions to Self-Similar Processes ($40,000, 2016–2018) National Science Foundation: Cincinnati Symposium on Probability Theory and Applications ($20,000, 2018–2019) Students and Advising : Mentored numerous graduate and undergraduate students in capstone projects and independent studies, focusing on topics like random walks, branching processes, and stochastic differential equations. Notable advisees include Connor McClellan, Yiyang Yu, and Weiqing Yu (recipient of the Charles Phelps Taft Senior Thesis Fellowship). Labs/Teams : Active in collaborative research groups within the department, contributing to interdisciplinary projects in stochastic modeling and mathematical finance. Teaches advanced courses in probability, stochastic processes, and financial mathematics.

Gennady Samorodnitskyمشاهده پروفایل

استاد

• Stochastic Modeling
• Heavy Tailed Distributions
• Long-Range Dependence
• +۶ مورد دیگر

Gennady Samorodnitsky is a Professor in the School of Operations Research and Information Engineering (ORIE) at Cornell University. He holds a B.S. from the Moscow Steel and Alloys Institute (1978), M.S. from Technion – Israel Institute of Technology (1983), and a D.Sc. from Technion (1986). He joined Cornell in 1988 and has held visiting positions at the University of North Carolina at Chapel Hill and Boston University. His research focuses on stochastic processes, particularly heavy-tailed distributions, long-range dependence, and extreme value theory, with applications in finance, teletraffic, and climate modeling. Education: B.S., Moscow Steel and Alloys Institute, USSR, 1978 M.S., Technion – Israel Institute of Technology, 1983 D.Sc., Technion – Israel Institute of Technology, 1986 Samorodnitsky’s research interests span stochastic modeling, including heavy-tailed processes, self-similar processes, and extreme value analysis. He examines the behavior of financial and telecommunication systems under long memory and non-Gaussian conditions. Key areas include the statistical analysis of extremes in climate data and the theoretical foundations of stable and infinitely divisible processes. His work bridges probability theory with applications in risk management, network traffic analysis, and climate science. His publications explore topics such as high-level excursion sets in random fields, tail inference, and the interplay between ergodic theory and stochastic processes. He has contributed to books like Stochastic Processes and Long Range Dependence and authored numerous technical reports on topics like ruin probabilities and multivariate extremes. Samorodnitsky teaches advanced courses, including ORIE 7590: Martingales in Discrete and Continuous Time , and maintains an active role in academic conferences and collaborations. His research group investigates cutting-edge problems in high-dimensional extremes, privacy-aware learning, and topological data analysis.

Graham Shieldsمشاهده پروفایل

استاد

• Geochemistry
• Earth System Science
• Precambrian Studies
• +۴ مورد دیگر

Prof Graham Shields is a Professor of Geology at University College London's Department of Earth Sciences. His research focuses on Earth's evolution through geochemical and isotopic analysis, particularly in the Precambrian and Cambrian periods. He investigates how the planet's surface environment co-evolved with life, with a focus on ocean/atmosphere composition during critical junctures like the Sturtian Snowball Earth event and Ediacaran-Cambrian transitions. His work combines field studies in Australia, Spain, and China with analytical techniques such as Rb-Sr dating, multi-isotope analysis, and sedimentary proxy development. Research themes include ocean oxygenation, redox dynamics, and the interplay between glaciation, volcanism, and biological innovations. Applied projects explore geochemical solutions for environmental issues like soil erosion and sustainable resource extraction. He leads the Precambrian Research Group and contributes to initiatives like the Life and the Planet initiative. Publications span Neoproterozoic climate modeling, Ediacaran ocean chemistry, and the geological time scale subdivision. Courses taught include GEOL0008 (Geochemistry).

Karen-Margrethe Simonsenمشاهده پروفایل

دانشیار

• Comparative Literature
• Historiography of Literature
• Early Modern Literature
• +۷ مورد دیگر

Karen-Margrethe Simonsen is an Associate Professor at the School of Communication and Culture , Aarhus University , specializing in Comparative Literature. Her research spans early modern literature, law and literature intersections, human rights discourses, and the concept of anatomical theater as both historical and contemporary investigative art. Key projects include leading the ANAT (Anatomical Theater) initiative (2023–2029) and co-leading HISTAC (2023–ongoing). She has served on editorial boards ( Humanity journal) and as President of the CHLEL committee (2016–2019). Her collaborations extend to Copenhagen University’s Center for Legal Culture and the Hermes Consortium. Recent publications focus on modern slavery narratives ( A Comparative Literary History of Modern Slavery , 2024) and interdisciplinary explorations of anatomical theater. She organizes workshops on affect, emotion, and early modern studies, and participates in international research excursions to Madrid and Paris.

Udo Schickhoffمشاهده پروفایل

استاد

• Biogeography
• Vegetation Ecology
• Landscape Ecology
• +۷ مورد دیگر

Prof. Dr. Udo Schickhoff is a Professor of Physical Geography specializing in Biogeography and Landscape Ecology at the University of Hamburg's Department of Earth System Sciences. His research focuses on mountain environments, forest and steppe ecosystems across diverse regions including the Arctic, Central and South Asia, North America, and Middle Europe. With decades of academic experience, he has established himself as a leading researcher in human-environment interactions within high mountain systems. University of Hamburg, Department of Earth System Sciences, since 2004 Professor of Physical Geography, University of Bonn (2003-2004) Professor of Landscape Ecology, University of Rostock (2002-2003) Professor of Biodiversity, University of Greifswald (1999-2002) Prof. Schickhoff's research interests span biogeography, vegetation and landscape ecology, with particular emphasis on mountain ecosystems and human-nature interactions. His work examines vegetation patterns along elevation gradients, treeline dynamics, and the impacts of climate change on high-altitude ecosystems. He has conducted extensive field research in the Himalayas, Karakoram, Hindu Kush, and other mountain regions worldwide, investigating how these sensitive ecosystems respond to environmental change. His recent publications reveal a strong focus on treeline dynamics, glacial lake monitoring, and climate change impacts across mountain regions globally. Schickhoff's research employs advanced methodologies including species distribution modeling, remote sensing analysis, and field-based ecological investigations. His work demonstrates consistent attention to the interactions between climate change, land use, and ecosystem dynamics in vulnerable mountain environments. Throughout his career, Prof. Schickhoff has taught numerous courses on physical geography, climate-vegetation relationships, and mountain ecosystems. His teaching portfolio includes regular field excursions to diverse regions including the Himalayas, Central Asia, and other mountain systems worldwide, providing students with hands-on experience in biogeographical research. Prof. Schickhoff maintains an active research group focused on mountain ecosystem dynamics, with ongoing projects examining vegetation responses to climate change across multiple continents. His interdisciplinary approach integrates physical geography, ecology, and human dimensions to understand complex environmental systems in transition.

Kristina Sendovaمشاهده پروفایل

دانشیار

• Ruin Theory
• Risk Theory
• Financial Modeling
• +۲ مورد دیگر

Kristina Sendova serves as an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University. Her academic office is located in MC 268, and she can be contacted via email at ksendova@stats.uwo.ca. Education: Ph.D. from University of Waterloo (2004) Research Focus: Dr. Sendova's work centers on Ruin Theory and Risk Theory, with significant contributions to financial modeling applications. Her research bridges actuarial science and stochastic processes, developing mathematical frameworks for insurance risk assessment and financial stability analysis. She investigates temporal patterns in surplus processes, seasonal risk models, and compound Poisson applications. Publication Trends: Her recent publications (2013-2023) demonstrate consistent output in top-tier actuarial journals including Insurance: Mathematics and Economics and North American Actuarial Journal. Key themes include Parisian ruin extensions, dividend barrier strategies, and dual risk models with dependencies. Her work shows increasing complexity in modeling temporal dependencies and seasonal patterns within insurance risk frameworks. Scientific Awards: No scientific awards were documented in the provided materials. Advising and Funding: Dr. Sendova supervises five doctoral candidates and two master's students: PhD Candidates: Sherly Alfonso Sanchez, Diba Daraei, Amir Hossein, Vaneh Azarian, Xinghan Zhu MSc Students: Bernard Emmanuel Bartels, Parinaz Zarei Her research is supported by competitive funding: NSERC Discovery Grant Alliance Grant