جست‌وجوی استاد و پژوهشگر

Robert D. Kleinbergمشاهده پروفایل

دانشیار

• Algorithms
• Theoretical Computer Science
• Algorithmic Game Theory
• +۴ مورد دیگر

Robert D. Kleinberg is an Associate Professor in the Department of Computer Science at Cornell University, where he conducts research on algorithm design and analysis with applications in learning, economics, and networking. His work bridges theoretical foundations with practical implementations in large-scale systems. Education Ph.D. in Computer Science from MIT (2005) Prior industry experience at Akamai Technologies (3 years) Research Focus Kleinberg's research centers on algorithms and theoretical computer science, with emphasis on economic aspects of algorithms, online learning applications, and random processes in networks. His work explores how algorithms interact with strategic agents, optimize under uncertainty, and solve complex network problems. Recent investigations include fairness in prophet inequalities, recalibration methods for online predictors, and reconfigurable network architectures. Publication Trends His recent publications (2024-2017) reveal dominant themes in algorithmic game theory, network optimization, and online learning. Key patterns include resource-constrained bandit problems, calibration techniques for strategic forecasting, and theoretical limits of oblivious routing. His work consistently connects theoretical breakthroughs with real-world applications in networking and economic systems. Scientific Recognition Microsoft Research New Faculty Fellowship Alfred P. Sloan Foundation Fellowship NSF CAREER Award Best Paper Award at ACM Conference on Economics and Computation (EC 2014) Mentorship and Research Leadership Kleinberg has advised 13 PhD students including current advisees Raunak Kumar, Princewill Okoroafor, and Tegan Wilson, and former students such as Bruno Abrahao and Hyung-Chan An. He has mentored 8 postdocs including Yoav Kolumbus and Saeed Alaei. His research is supported by major grants including the NSF CAREER Award and Microsoft Research funding, with significant contributions to program committees for STOC, FOCS, and EC conferences. Collaborative Environment As part of Cornell's Algorithms and Theory group, Kleinberg collaborates extensively with researchers across computer science, operations research, and economics. His work with the Networks Lab and involvement in the Fall 2016 Simons Institute program on Algorithms and Uncertainty demonstrate his integrated approach to theoretical and applied challenges.

• Strategic Management
• Human Capital
• Business Ethics
• +۵ مورد دیگر

Lauren E. Aydinliyim serves as an Assistant Professor of Strategic Management at the Zicklin School of Business, Baruch College within the City University of New York (CUNY) system. She holds a joint appointment as Doctoral Faculty at The Graduate Center, CUNY, and serves as Faculty Field Mentor for the Midtown Manhattan Small Business Development Center. Her academic home is the Narendra P. Loomba Department of Management where she contributes to departmental leadership as Delta Seminar Series Organizer and previously served as Department Secretary. Her educational background includes: Ph.D. in Organization Management from Rutgers University–Newark J.D. and Law & Business Certificate from Vanderbilt University B.S. summa cum laude in Applied Mathematics (Probability & Statistics) and Economics from the College of William & Mary Additional studies in Mathematical Economics at the London School of Economics Aydinliyim's research sits at the critical intersection of strategic management, human capital, business ethics, and employment law. Her work investigates how legal frameworks—particularly non-compete agreements—affect employee mobility, talent management, and organizational strategy. She examines ethical dimensions of restrictive covenants across diverse workforce segments, revealing significant demographic disparities in awareness and impact. Her scholarship extends to DEI policy implementation, pronoun disclosure practices, whistleblower decision-making, and the strategic implications of labor market regulations. Analysis of her publications reveals consistent focus on how legal constraints shape human capital strategy, with increasing attention to diversity implications and policy responses to workforce restrictions. Her work bridges theoretical rigor with practical relevance, frequently addressing timely regulatory developments like the FTC's non-compete ban. Her scholarly recognition includes: Abraham J. Briloff Faculty Prize for Ethics (2019) Finalist for Society for Business Ethics Best Dissertation Award (2019) Nomination for Strategic Management Society Responsible Research Paper Prize Multiple travel grants supporting presentation at premier conferences Aydinliyim maintains active grant funding through PSC-CUNY awards for research on non-compete agreements, restrictive covenants, and organizational inclusivity. She mentors doctoral students including Maria-Irene Angelidis, Nikisha Alcindor, and Junghoon Park. Her service includes editorial roles at Entrepreneurship Research Journal, guest editing a special issue on 'quiet quitting' for Human Resource Management, and leadership positions in Strategic Management Society interest groups. She actively engages with practitioners through the Field Center for Entrepreneurship's SBDC, translating academic insights into strategic guidance for small businesses. Her research has garnered significant media attention from NPR, HR Brew, and Business Insider, demonstrating real-world impact of her scholarship on employment practices and policy debates.

Anand D. Sarwateمشاهده پروفایل

استاد

• Information Theory
• Machine Learning
• Statistical Signal Processing
• +۲ مورد دیگر

Anand D. Sarwate is a Professor in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey. He holds additional appointments in the graduate faculties of Computer Science and Statistics. His research bridges probability, mathematical statistics, and optimization, focusing on information theory, communication, signal processing, and machine learning in distributed systems with constraints like privacy, bandwidth, and latency. Education: Ph.D., University of California, Berkeley Research Trends: His recent publications (2023-2025) emphasize differential privacy, adversarial models in communication, tensor signal processing, federated learning, and neuroimaging analysis. A 2024 monograph on adversarial channel models synthesizes 15+ years of work in coding theory. Scientific Awards: Presidential Outstanding Faculty Scholar Award, Rutgers (2025) IEEE Information Theory Society Distinguished Lecturer (2024-2025) Collaborative Platforms: He actively develops and uses COINSTAC , a federated learning framework for neuroimaging analysis, enabling decentralized studies across multiple institutions.

Paolo Serenaمشاهده پروفایل

دانشیار

• Fiber-optic communications
• Nonlinear optics
• Space-division multiplexing
• +۳ مورد دیگر

Paolo Serena is Associate Professor of Telecommunications at the University of Parma , Department of Engineering and Architecture. Since 2018 he has held this academic rank after serving as a researcher at the same university from 2005. He teaches Optical Communications in the Master’s program in Communication Engineering and Telecommunication Systems in the Master’s program in Computer Science, Electronics and Telecommunications. In addition to his university duties, he maintains active third-mission collaborations with Nokia Bell-Labs and Alcatel Submarine Networks in Paris, France. Education Ph.D. in Information Technology, University of Parma, 2000-2003 Laurea (M.Sc.) in Electronic Engineering, University of Parma, 1999 Thesis: “Theoretical Study of the Interaction between Chromatic Dispersion and Nonlinear Effects in Fiber Optic Systems” Research Interests Prof. Serena’s research spans the full spectrum of fiber-optic communication systems . His work focuses on understanding and mitigating nonlinear effects in both single-mode and space-division multiplexed fibers, developing numerical models for signal propagation, exploiting digital signal processing techniques for coherent receivers, and creating performance monitoring tools. He is the original author of Optilux , an open-source simulation platform widely used in the optics community. Recent investigations include modal dispersion in few-mode and multi-core fibers, machine-learning-assisted optimization of launch powers, and quantum-classical co-propagation in field-deployed multi-core links. These studies converge toward increasing the capacity, reach, and energy efficiency of next-generation optical networks. Scientific Service & Editorial Activity Associate Editor, Optics Express (OSA Publishing) Technical Committee Member, European Conference on Optical Communications (ECOC) , since 2018 Technical Committee Member, Fotonica (Italian National Conference on Photonic Technologies), since 2013 Collaborations & Tools Within the framework of university–industry collaboration, Prof. Serena works closely with Nokia Bell-Labs and Alcatel Submarine Networks on modeling and performance optimization of long-haul and submarine links. His open-source simulator Optilux is continuously extended to include the latest advances in nonlinear propagation modeling and machine-learning-enhanced system design.

• Quantum Mechanics
• Mathematical Physics
• Geometric Quantization
• +۴ مورد دیگر

Luis Alberto Ibort Latre is a Full Professor at the Department of Mathematics, Universidad Carlos III de Madrid. His research spans quantum mechanics, mathematical physics, and geometric quantization, with a focus on algebraic structures, control theory, and noncommutative geometry. He has contributed to the development of Schwinger's picture of quantum mechanics, groupoid theory applications, and boundary dynamics in field theories. Research Interests: Quantum Foundations, Geometric Quantization, Control Systems, Information Geometry, Differential Geometry, and Mathematical Physics. Key Collaborations: Quantum Information Technologies Madrid, CAM, and AEI-funded projects. Books Authored: An Introduction to Groups, Groupoids and Their Representations (2019), Geometry from Dynamics, Classical and Quantum (2015).

• Stochastic calculus for fractional Brownian motion
• Financial mathematics
• Theory and statistics of random processes and fields
• +۶ مورد دیگر

Professor Yuliia Mishura has been a leading figure at Taras Shevchenko National University of Kyiv since 1976. She currently serves as Professor and Head of the Department of Probability, Statistics and Actuarial Mathematics in the Faculty of Mechanics and Mathematics . Education: BSc + MSc, Kyiv State University, 1975 PhD, Kyiv State University, 1978 DSc (Habilitation), Institute of Mathematics, Kyiv, 1990 Research interests lie at the intersection of stochastic analysis , fractional processes and financial mathematics . She investigates stochastic calculus for fractional Brownian motion, multifractional processes, stochastic differential equations driven by such processes, functional limit theorems, optimal stopping, and statistical inference for models exhibiting long-range dependence. Her recent work focuses on mixed fractional and multifractional models , parameter estimation in non-Gaussian settings , functional limit theorems in multiplicative financial schemes , and Malliavin-calculus techniques applied to option pricing and hedging under memory . Scientific leadership: Principal investigator of the national project “Exact formulas, estimates, asymptotic properties and statistical analysis of complex evolutionary systems with many degrees of freedom” . Team leader of 15 researchers (7 DSc, 8 PhD) and 8 PhD students. Collaborations & projects: INTAS Grant 99-000-16 (Ukrainian coordinator, 2000–2002) TEMPUS-TACIS IB-JEP-25054-2004 (Kyiv team leader, 2004–2008) NATO Grant PST.CLG.980408 (2003–2006) EU IRSES “Multifractionality” 230804 (Kyiv team leader, 2009–2012) STORM project with University of Oslo (2018–2020) State Fund for Fundamental Research of Ukraine grant 2020.02/0026 (2020–2022) The research group maintains active international ties with universities in Vilnius, Oslo, Liverpool, Napoli, Dresden and others.

• Functional Analysis
• Stability Theory
• Functional Equations
• +۳ مورد دیگر

Jolanta Olko is a faculty member at the AGH University of Science and Technology in Kraków, affiliated with the Faculty of Applied Mathematics and the Department of Mathematical Analysis and Applications. She holds an academic rank of Assistant Professor. Her research focuses on functional equations, stability theory, and non-Archimedean mathematical structures. Notably, she has explored Hyers-Ulam stability, hyperstability, and multifunctions in ultrametric and Banach algebras. Key topics include polynomial-type multifunctions, Wright functions, and semigroups of set-valued functions. Her work spans mathematical analysis, fixed point theory, and applied functional equations. Contact: olko@agh.edu.pl .

• Integrable systems
• Discrete mathematics
• Orthogonal polynomials
• +۶ مورد دیگر

Adam Doliwa is a Professor at the Department of Discrete Mathematics and Theoretical Foundations of Computer Science within the Faculty of Mathematics and Computer Science at the University of Warmia and Mazury in Olsztyn, Poland. Holding the title of Prof. Dr. hab., he maintains an active research program with 54 publications indexed in Web of Science, accumulating 637 citations (WoS) and 1774 citations (Google Scholar), with corresponding H-indices of 17 and 22 respectively. Professor Doliwa's research spans several interconnected areas of pure and applied mathematics, with a particular focus on integrable systems, discrete mathematics, and their geometric interpretations. His work bridges theoretical mathematics with applications in quantum computing and mathematical physics. He has made significant contributions to the understanding of orthogonal polynomials, non-commutative algebra structures, and discrete differential geometry. His recent publications demonstrate a consistent research trajectory exploring the deep connections between algebraic structures, geometric configurations, and integrable systems. Analysis of his 15 most recent publications reveals a strong emphasis on non-commutative extensions of classical mathematical structures, discrete integrable systems, and their geometric interpretations. His work frequently connects orthogonal polynomials with integrable equations, explores non-commutative versions of classical algebraic structures, and investigates geometric configurations related to integrable mappings. A distinctive feature of his research is the consistent application of geometric methods to understand algebraic and combinatorial properties of discrete systems. Professor Doliwa has successfully supervised one doctoral student to completion and indicates willingness to supervise additional doctoral candidates. His research is supported by statutory research funds, and his department is equipped with necessary infrastructure to support planned research activities. His scientific contributions have established him as a recognized researcher in the fields of integrable systems and discrete mathematics, with an international presence evidenced by his publications in prestigious journals and his ResearchGate profile.

• Statistical theory (estimators – asymptotic properties)
• Statistical applications (medical statistics, econometrics)
• Measurement error modeling
• +۵ مورد دیگر

Professor Mirta Benšić is affiliated with the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek. She leads the Probability, Mathematical Statistics and Data Science Research Group and teaches Multivariate Analysis , Statistics , and Probability and Statistics at the Faculty of Applied Mathematics and Informatics. Degrees: PhD in Mathematics, University of Zagreb (1997) MSc in Mathematics, University of Zagreb (1990) BSc in Mathematics and Physics, University of Osijek (1985) Her research focuses on statistical theory (estimators, asymptotic properties) and statistical applications in medical statistics, econometrics, environmental science, and food engineering. Recent work includes modeling SARS-CoV-2 immunity duration, radon concentration analysis in Montenegrin buildings, and nutritional improvements in food products. Key trends from her 15 most recent publications span biostatistics (prostate cancer MRI analysis), environmental science (radon studies), food technology (cocoa shell processing), and materials engineering (concrete with recycled rubber). Her methodological contributions include measurement error models, nonlinear regression, and multivariate analysis. Leadership and Projects: She led projects funded by the Croatian Science Foundation (e.g., Statistical aspects of parameter identification ), European Regional Development Fund, and Montenegrin Academy of Sciences. She served on editorial boards ( Mathematical Communications , Osječki matematički list ) and program committees for international statistical conferences.

• Probability Theory
• Stochastic Processes
• Quantum Statistical Mechanics
• +۴ مورد دیگر

Prof. Dr. Sabine Jansen is a Professor at the Mathematical Institute of LMU Munich and leads the Working Group on Stochastics and Financial Mathematics . Her research spans Probability Theory , Quantum Statistical Mechanics , and Mathematical Physics , with a focus on cluster expansions, Gibbs point processes, and duality for Markov processes. Email: jansen@math.lmu.de Phone: +49 (0)89 2180 4477 Address: Theresienstr. 39, D-80333 Munich Affiliations: DFG Collaborative Research Center CRC TRR 352, DFG Priority Program SPP2265, Munich Center for Quantum Science and Technology (MCQST) Her research interests include: Stochastic processes and their applications in financial mathematics Quantum statistical mechanics, particularly many-body systems and their collective phenomena Cluster expansions and virial inversion for low-temperature and non-additive systems Duality and intertwining relations in Markov processes Combinatorial approaches to probability and statistical mechanics Recent publications highlight work on: Large deviations and extreme value theory for Weibull-like variables Algebraic methods in continuum particle systems Geometric constraints in hard-particle mixtures Convergence conditions for cluster expansions Quantum quasi-1D jellium and Coulomb systems Applications of Lagrange inversion in combinatorial species She contributes to educational resources through lecture notes and courses, including topics like Quantum mechanics for probabilists and Jump processes . Her group collaborates with international institutions and participates in major research programs.

• Dynamical systems
• Statistical physics
• Billiards
• +۳ مورد دیگر

Carl P. Dettmann is a Professor of Applied Mathematics at the University of Bristol , affiliated with the School of Mathematics and the Institute for Probability, Analysis and Dynamics. His research spans dynamical systems , statistical physics, billiards, spatial networks, wireless networks, and mathematical music theory. Research Trends include studies on chaotic dynamics in multi-black-hole systems stabilizability in switched linear systems random geometric graphs and network connectivity algebraic approaches to musical tunings Grants & Projects include the EPSRC-funded Spatially Embedded Networks project (2015–2019) and involvement in conferences like Random Walks on Random Networks at BMC 2016 . Teaching includes units such as Optimisation , Applied Dynamical Systems, General Relativity, and Statistical Mechanics.

Kaiqing Zhangمشاهده پروفایل

استادیار

• Control Theory
• Reinforcement Learning
• Game Theory
• +۴ مورد دیگر

Kaiqing Zhang is an Assistant Professor jointly appointed in the Department of Electrical and Computer Engineering (ECE) and the Institute for Systems Research (ISR) at the University of Maryland, College Park, with additional affiliations in Computer Science (CS), the Center for Machine Learning, Maryland Robotics Center (MRC), and the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM). His academic appointments reflect interdisciplinary expertise spanning control theory, reinforcement learning, and multi-agent systems. His research focuses on theoretical foundations of learning-based control with emphasis on multi-agent systems, safety-critical applications, and intersections of game theory with machine learning. Key interests include provable algorithms for reinforcement learning, distributed decision-making under uncertainty, and robust control frameworks for cyber-physical systems like robotics and smart grids. His methodology integrates tools from control theory, game theory, operations research, and probability theory to develop mathematically rigorous solutions. Recent publications reveal a strong trajectory in multi-agent reinforcement learning (particularly zero-sum and potential games), partially observable systems , and LLM-based decision agents . His work consistently bridges theoretical guarantees with practical applications in robotics and autonomous systems, as evidenced by awards like the ICML Outstanding Paper Award for differentiable simulators. AFOSR Young Investigator Program (YIP) Award NSF CAREER Award AAAI New Faculty Highlights ICML Outstanding Paper Award IEEE RAS TC Best-Paper Award CSL Ph.D. Thesis Award He actively mentors Ph.D. students with strong mathematical backgrounds, as highlighted by his recruitment for self-motivated candidates in control, learning, and game theory. His professional service includes Area Chair roles at top conferences (ICML, NeurIPS) and leadership in the Tsinghua University Alumni Association at UIUC. Zhang's lab ecosystem integrates the Maryland Robotics Center and UMIACS for robotics-focused theoretical work.

Uwe Ulbrichمشاهده پروفایل

استاد

• Climate Variability
• Meteorological Extreme Events
• Climate Modeling
• +۵ مورد دیگر

Uwe Ulbrich is a Senior Professor of Meteorology at the Free University of Berlin, where he serves as Head of the Climate Diagnostics and Meteorological Extreme Events Working Group within the Institute of Meteorology, part of the Department of Geosciences. He has held this senior professorship since October 1, 2024, following a distinguished career that included a C3-Professorship in Meteorology at the same institution from 2004-2024 and earlier work as a scientific staff member at the Institute of Geophysics and Meteorology at the University of Cologne from 1990-2004. Ulbrich earned his habilitation in Meteorology at the University of Cologne in 2000 with a thesis on "baroclinic wave disturbances and cyclones in the Northern Hemisphere." He completed his doctoral studies in Meteorology at the University of Cologne from 1985-1989, with a dissertation titled "The atmospheric energy cycle of stationary and transient waves," and earned his diploma in Geophysics from the same institution between 1978-1985. His research focuses on diagnosing atmospheric physical processes, particularly understanding climate variability and meteorological extreme events in mid-latitudes, climate model validation, and anthropogenic climate change. His work specifically examines cyclone activity, large-scale variability patterns like the NAO, and identifying large-scale conditions for storms, floods, and extreme rainfall events. He also engages in interdisciplinary research with the insurance industry and legal sciences regarding the impacts of climate change and extreme events. Analysis of Ulbrich's recent publications reveals a strong focus on practical applications of meteorological research, particularly in infrastructure risk assessment. His work increasingly examines how extreme weather events impact transportation systems (railways, roads, public transit), with a growing emphasis on developing predictive models for weather-related risks. His research combines climate modeling with real-world impact assessment, bridging the gap between theoretical meteorology and practical risk management. Scientific Awards THE GORDON MANLEY WEATHER PRIZE OF THE ROYAL METEOROLOGICAL SOCIETY (2008) Ulbrich serves as Executive Editor of the journal "Natural Hazards and Earth System Sciences" (NHESS) and holds leadership positions in several international scientific initiatives including the Steering Committee of "MedCLIVAR," the Advisory Board of the "National Grid Initiative" (NGI-DE), and the Belmont Forum E-infrastructure & Data Management working group. He is also Deputy Chair of the Scientific Advisory Board of the "Deutsches Komitee Katastrophenvorsorge" (DKKV) and serves on the Scientific Advisory Board of the "Forschungsforum öffentliche Sicherheit." As Head of the Climate Diagnostics and Meteorological Extreme Events Working Group, Ulbrich leads a team conducting research on windstorms, climate extremes, and their societal impacts. His group participates in major research projects including ClimXtreme, NFDI4Earth, and WEXICOM, focusing on understanding and predicting extreme weather events and their implications for climate adaptation strategies.

Farrukh Javedمشاهده پروفایل

مدرس ارشد

• Probability Theory
• Statistics
• Stochastic Modelling
• +۳ مورد دیگر

Farrukh Javed serves as Senior Lecturer and Project Manager at Lund University's Department of Statistics, with additional affiliations as Researcher at eSSENCE: The e-Science Collaboration and Affiliated Researcher at the Centre for Retail Research. His research specializes in stochastic modeling and statistical inference, particularly addressing the 'stylized facts' of financial data including time-dependence, volatility clustering, non-normality, and extreme outcomes. He has developed innovative approaches for both low- and high-dimensional financial data analysis while also contributing to bioinformatics through mathematical and AI-driven biological modeling. Dr. Javed's scholarly fingerprint reveals significant contributions across volatility modeling (100%), measure of dispersion (85%), Generalized Autoregressive Conditional Heteroskedasticity (79%), capital market returns (66%), and stock analysis (44%). His work bridges theoretical statistics with practical financial applications. He actively supervises doctoral research, notably guiding Henrik Bengtsson's dissertation on 'Excursion sets for stochastic processes' (2018-2025), and participates in academic knowledge exchange through initiatives like the NEXUS seminar series. His publication record demonstrates consistent output in top-tier journals focusing on advanced statistical methods for financial markets.

• Stochastic Processes
• Statistical Mechanics
• Quantum Systems
• +۴ مورد دیگر

Prof. Dr. Sabine Jansen is a faculty member at the Mathematical Institute of Ludwig Maximilian University of Munich (LMU) . Her research focuses on stochastic processes, statistical mechanics, and quantum systems, particularly through her work in cluster expansions, Gibbs measures, and random geometric systems. She is affiliated with the Working Group on Stochastics and Financial Mathematics and participates in the DFG Collaborative Research Center CRC TRR 352 ( Mathematics of many-body quantum systems and their collective phenomena ) and the DFG priority program SPP2265 ( Random Geometric Systems ). Her office is located at Theresienstr. 39, 80333 Munich (Room 214, Block B, 2nd floor), and she can be contacted at Sabine.Jansen@math.lmu.de or jansen@math.lmu.de . Key Research Areas : Stochastic processes, cluster expansions, quantum statistical mechanics, many-body systems, and probabilistic methods in mathematical physics. Notable Collaborations : DFG-funded projects (CRC TRR 352, SPP2265), Munich Center for Quantum Science and Technology (MCQST), and international collaborations with institutions like Leiden University. Publications : Recent work includes studies on large deviations, intertwinings for continuum systems, virial inversion, and combinatorial approaches to generating functions. Labs & Teams : Leads the Stochastics and Financial Mathematics working group, contributing to quantum systems research at LMU and MCQST.