جستجوی استاد راهنمای دانشگاهی

Antonio Montalbánمشاهده پروفایل

استاد

• Mathematical Logic
• Computability Theory
• Reverse Mathematics
• +۳ مورد دیگر

Antonio Montalbán is a Professor of Mathematics at the University of California, Berkeley , where he has been affiliated since 2012. His research focuses on Mathematical Logic and Computability Theory , analyzing the interplay between complexity and mathematical structures, particularly in countable objects and Turing degrees. Research areas include Computability Theory , Reverse Mathematics , and Structural Complexity . His publications span topics like Lower Cones of Degrees , Equimorphism Types , and Automorphism Problems . He has supervised PhD students such as James Walsh , James Gardner Moody , Matthew Harrison-Trainor , and Noah Schweber . He contributes to outreach through a column in Uruguay Ciencia , creating math puzzles in Spanish. Montalbán's teaching includes courses on Set Theory and Mathematical Logic , with public YouTube playlists. His work bridges foundational logic, algorithmic complexity, and applications in mathematics.

• Financial Engineering
• Risk Management
• Quantitative Finance
• +۹ مورد دیگر

Professor Mi-Hsiu Chiang is a faculty member at the Department of Money and Banking, National Chengchi University (NCCU), College of Commerce , with a career spanning over two decades in quantitative finance, credit risk modeling, and financial engineering. He holds a PhD in Quantitative Finance from Imperial College London and has published extensively in top-tier journals like Pacific-Basin Finance Journal , Financial Management , and Review of Quantitative Finance and Accounting . Education: PhD (Quantitative Finance), MSc (Mathematics), BSc (Mathematics) from Imperial College London. Research Focus: Credit risk modeling, options pricing, machine learning applications in finance, ESG investments, and climate risk hedging. Awards: Recipient of MOST Research Awards, Senior Outstanding Teacher (20 years) at NCCU, and several academic prizes including UMC Management Paper Award and Fubon Paper Award. Projects: Led numerous research initiatives funded by the National Science and Technology Council, including studies on climate change risk replication using GPT and machine learning, ESG sentiment in credit default prediction, and behavioral biases in derivatives markets. His recent publications emphasize stochastic dominance in stock markets, liquidity-driven strategies, and empirical analyses of credit and information risks. He has also contributed to behavioral finance by examining the disposition effect in options and convertible bonds. His work bridges quantitative methods with practical financial applications, including synthetic CDO valuation and TIPS pricing under inflation jumps. Scientific Awards 科技部研究獎勵 資深優良教師 (20年), 國立政治大學 第十屆聯電經營管理論文獎優等獎, 中華民國管理科學學會 台灣財務金融學會富邦論文獎 台大管理論叢宋作楠基金會論文獎 資深優良教師 (10年), 國立政治大學 學術研究成果國際化優等研究獎, 政治大學 教學特優教師, 政治大學商學院

• Exponential models
• Stochastic differential equations
• Stochastic utility maximization
• +۳ مورد دیگر

Barbara Trivellato is an Associate Professor in the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. She serves as a member of the College of Mathematical Engineering, College of Electronic, Telecommunications and Physics Engineering, and as an invited member of the College of Computer, Film, and Mechatronics Engineering. Her research focuses on Exponential models , Stochastic differential equations , and Stochastic utility maximization . As part of the "Probability and Applications" research group, her work spans optimization problems in finance and mathematical statistics. Her expertise aligns with ERC sectors including application of mathematics in sciences, control theory, optimization, mathematical statistics, and probability. Dr. Trivellato's recent publications demonstrate a strong focus on financial mathematics and probability theory. Her work examines mean-variance optimization in insurance contexts, utility maximization using stochastic differential equations, properties of exponential statistical models, and applications to demographic modeling across journals in financial mathematics, applied mathematics, theoretical probability, and physics. Scientific Director for PRIN project "Stochastic methods for expected utility maximization" (2004-2006) Current PhD supervisor for Giulio Cuniberti (Mathematical Sciences, 39th cycle) She teaches Stochastic Processes for Mathematical Engineering and Mathematical Methods for Engineering across multiple engineering disciplines including Physics, Aerospace, Computer, Film and Media, and Management Engineering for academic years through 2025/26.

• Applied Mathematics
• Probability and Stochastic Processes

Dr. Öğr. Üyesi Sinem Kozpınar is an Assistant Professor at Başkent University's Faculty of Commercial Sciences, specializing in Insurance Program. With a PhD in Financial Mathematics from METU and postdoctoral experience in Actuarial Sciences at Université Libre de Bruxelles, her work bridges mathematical modeling with insurance and energy market applications. Education: PhD (2018) and MSc (2013) in Financial Mathematics from METU; BSc (2011) in Mathematics from Hacettepe University Her research focuses on stochastic processes and applied mathematics , particularly in derivatives pricing and risk modeling. Publications span topics like regime-switching models, Heston stochastic volatility, and multi-asset options under Lévy frameworks. Recent work includes reduced-order modeling for volatility processes and energy quanto options pricing. She teaches courses in mathematical statistics, risk management, and insurance mathematics, while contributing to projects like the TÜRİB AI-Enhanced Market Surveillance Project.

• Discontinuous ordinary differential equations
• Functional analysis
• Hypercomplex and quaternionic analysis
• +۷ مورد دیگر

Vincenzo Recupero is an Associate Professor at the Department of Mathematical Sciences (DISMA) , Politecnico di Torino . His research focuses on mathematical analysis and its applications to complex systems. Scientific Branch : MATH-03/A - Mathematical Analysis ERC Sectors : Analysis, Application of mathematics in sciences, Mathematical physics, ODE and dynamical systems, Operator algebras SDG Goals : Quality education (Goal 4), Reduced inequalities (Goal 10) His research interests include partial differential equations for phase transitions (Penrose-Fife and Stefan models), quaternionic functional analysis in noncommutative frameworks, and rate independent processes like Moreau’s sweeping processes. These are applied to elastoplasticity, economic theory, crowd motion modeling, and electric circuits. The 9 recent articles highlight his expertise in Mathematical Analysis , Partial Differential Equations , and Operator Theory . Key trends include continuity methods for sweeping processes, BV solutions in variational inequalities, and advancements in quaternionic semigroups and Clifford algebras. Recupero teaches Mathematical Analysis II and Mathematical Methods for Engineering to undergraduate and graduate students. He has held research positions at Tongji University (2013). Conference Roles : Program committee, International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2025) Chairman, Summer School on Multi-Rate Processes (2017, 2019) He contributes to the Nonlinear Analysis and Calculus of Variations research group and explores connections between hypercomplex analysis and quantum mechanics .

Robert Rozmanمشاهده پروفایل

مدرس ارشد

• Computer Architecture
• Embedded Systems
• Speech Processing
• +۴ مورد دیگر

Dr. Robert Rozman serves as a Senior Lecturer and Instructor at the Faculty of Computer and Information Science, University of Ljubljana, where he teaches core courses in Computer Architecture , Computer Organisation , and Input-Output Systems while contributing to laboratory instruction through the Laboratory of Algorithmics. His academic journey began at Maribor's Secondary Computer School (SERŠ), followed by comprehensive studies at Ljubljana's Faculty of Computer and Information Science, where he earned sequential BSc , MSc , and PhD degrees in Computer Science. Rozman's research program bridges hardware systems and human-computer interaction , with concentrated expertise in computer architecture optimization, embedded system design, and multimodal speech technologies. His work particularly emphasizes practical implementations of speech generation/recognition systems and next-generation communication frameworks leveraging Internet convergence. Scientific Awards: None documented in source materials. Research engagement includes participation in the Structural Funds project PKP 3 ( Video measurements of ski jump lengths , March-July 2017), though no student advisement activities or additional grants are referenced. He maintains active affiliation with the Laboratory of Algorithmics, contributing to its computational research ecosystem through teaching and project supervision.

Samim Ghamamiمشاهده پروفایل

استاد مدعو

• Finance
• Macroeconomics
• Financial Regulation
• +۷ مورد دیگر

Samim Ghamami is a prominent economist and academic researcher working at the intersection of finance and macroeconomics. Currently serving as an economist at the U.S. Securities and Exchange Commission (SEC) and an Adjunct Professor at New York University's Courant Institute of Mathematical Sciences, he has held academic roles at Columbia University, UC Berkeley, and the University of Southern California. His work focuses on financial stability, quantitative finance, risk management, digital asset markets, and macroeconomic policy . Ph.D. in Finance and Operations Research from University of Southern California (2009) M.Sc. in Operations Research from University of Tehran (2003) B.Sc. in Operations Research and Industrial Engineering from Iran University of Science and Technology (2000) His research spans advanced financial technologies, systemic risk, and regulatory frameworks, with a particular emphasis on central counterparty (CCP) risk, collateral mechanisms, and market structure reforms. His recent publications analyze extreme value theory applications to financial institutions and systemic risk allocation in complex networks. Ghamami’s academic output reveals trends in financial engineering, risk modeling, and macro-financial linkages . He has developed innovative approaches to counterparty risk quantification and network reliability estimation. Recipient of SEC Chair’s Award for Excellence (2020) for Treasury market reforms INFORMS 2013 Best Presentation Award As an advisor to the Bank for International Settlements and expert for the Financial Stability Board, he has shaped post-crisis capital market reforms. His teaching portfolio includes graduate-level courses in asset pricing, risk management, and financial economics at NYU, Columbia, and UC Berkeley.

• Physical Education
• Sports Psychology
• Emotion in Sports
• +۳ مورد دیگر

Dr. Mareike Susanne Ahns serves as a Senior Scientist in Sports and Exercise Science at the University of Salzburg, actively contributing to research through the Salzburg Educational Laboratories initiative. Her work bridges teacher education and school practice with specific focus on democracy education and emotional experiences in physical education contexts. Her research centers on emotional dynamics in physical education activities (dodgeball, jumping tasks), democracy-oriented teaching practices, and reflective competence development among youth soccer coaches. She employs qualitative triangulation methods to examine how physical education classrooms function as laboratories for democratic citizenship and emotional growth, with particular attention to student interpretations of sporting experiences. Analysis of her 2023-2025 publications reveals consistent methodological innovation through educational laboratories, demonstrating how structured physical activities serve dual purposes: developing motor competence while fostering democratic values. Her collaborative work with Rode and Amesberger establishes clear connections between emotional processing in sports and broader educational outcomes. Dr. Ahns maintains active engagement with the Salzburg Education Lab, which operates as an experimental space for developing and testing pedagogical approaches in physical education. This initiative specifically addresses democracy education and emotional learning through practical classroom applications, directly informing teacher training programs at the university level.

John Mercerمشاهده پروفایل

استاد

• Biomechanics
• Human Locomotion
• Sport Performance
• +۵ مورد دیگر

John Mercer, Ph.D., is a Professor at the University of Nevada, Las Vegas in the Department of Kinesiology and Nutrition Sciences. He teaches biomechanics courses at both undergraduate and graduate levels. Education: B.S. from Buffalo State University of New York, M.S. from University of North Texas, Ph.D. from University of Oregon Established the Biomechanics Laboratory at UNLV in 2002 Chair of the University Biomedical Institutional Review Board Research Focus : Human locomotion, sport performance optimization, and biomechanical/physiological responses during movement. Special interests include: Wearable technology for performance monitoring Body weight support systems in rehabilitation Thermal regulation during aquatic exercise Muscle activation patterns in directional locomotion Impact of footwear and compression garments Recent Publications (2023-2025) demonstrate expertise in: Wetsuit effects on swimming physiology Stride frequency optimization Music synchronization in running Compression garment efficacy Backward/forward locomotion comparison Circus performance biomechanics Scientific Achievements : Fellow of the American College of Sports Medicine Past-President of Southwest Chapter of ACSM Key contributor to sports biomechanics literature Developed standardized protocols for aquatic treadmill analysis Laboratory : The UNLV Biomechanics Laboratory serves as a hub for research on: Human movement analysis Performance monitoring technology Rehabilitation biomechanics Environmental physiology Neuromuscular adaptation Interdisciplinary sports science

Massimo Costabileمشاهده پروفایل

استاد

• Computational Finance
• Actuarial Science
• Financial Mathematics
• +۲ مورد دیگر

Massimo Costabile is a Full Professor of Mathematical Methods for Economics, Actuarial and Financial Sciences at the Department of Economics, Statistics and Finance 'Giovanni Anania' (DESF) of Università della Calabria, where he also serves as Department Director. He teaches Quantitative Models in Finance in the Master's degree course in Finance and Insurance and Financial Mathematics in the Mathematics degree program. Laurea in Economic and Social Sciences, Università della Calabria (1993) PhD in Actuarial Science, Sapienza Università di Roma (1996) Research Interests: His work focuses on computational finance, life insurance policy valuation, and analytical methods for complex financial instruments. Key areas include: Numerical methods for derivative securities and insurance products Stochastic volatility modeling in financial and actuarial contexts Regime-switching and jump-diffusion option pricing frameworks Guaranteed minimum withdrawal benefits (GMWB) in variable annuities Risk capital requirements under CVaR constraints Discrete-time lattice approaches for financial modeling Recent Research Trends: Recent publications examine stochastic correlation in life insurance pricing, mixed fractional Brownian motion applications, and semiparametric models for non-life insurance capital allocation. His work combines binomial lattice techniques with advanced volatility models to address insurance risk and financial derivative valuation challenges. Administration & Collaborations: As Department Director, he oversees academic operations while collaborating with national and international researchers. He serves on editorial boards and peer-review panels for journals like Decisions in Economics and Finance and Insurance: Mathematics and Economics. Laboratories: Co-manages the Multimedia Teaching Lab (Laboratorio di Didattica Multimediale) and Informatica 3 Lab at DESF, focusing on didactic applications of computational methods in economics and finance education.

Ali Pakniyatمشاهده پروفایل

استادیار

• Optimal Control
• Hybrid Systems
• Stochastic Control
• +۶ مورد دیگر

Ali Pakniyat is an Assistant Professor in the Department of Mechanical Engineering at the University of Alabama's College of Engineering. He joined UA in 2021 after postdoctoral positions at Georgia Tech and University of Michigan. His academic background includes a PhD in Electrical Engineering from McGill University, an MS from Sharif University of Technology, and a BS from Shiraz University, all in Mechanical Engineering. His research focuses on theoretical and applied aspects of control systems, including: Deterministic and stochastic optimal control Nonlinear and hybrid dynamical systems Multi-agent coordination and mean field games Applications in robotics, automotive systems, and MEMS Dr. Pakniyat's publications demonstrate consistent focus on advancing control theory methodologies, with recent emphasis on stochastic systems, multi-agent networks, and novel applications in aerial/marine drones. His work frequently integrates mathematical rigor with practical engineering challenges. Awards and Honors: Graduate Excellence Award in Engineering Canadian Marconi Graduate Award McGill Engineering Doctoral Award (MEDA) GERAD Doctoral Fellowship He currently teaches courses including Nonlinear Control Systems, Advanced Linear Control, and Intermediate Dynamics at UA. While specific student advisees aren't listed, his research involves mentoring in control systems and robotics.

Hasan Fallahgoulمشاهده پروفایل

مدرس ارشد

• Econometrics
• Finance
• Statistics
• +۸ مورد دیگر

Hasan Fallahgoul is currently a Senior Lecturer at the School of Mathematical Sciences, Monash University, and a member of the Monash Centre for Quantitative Finance. Prior to this, he held post-doctoral positions at the Swiss Finance Institute (EPFL) and the European Center for Advanced Research in Economics and Statistics (ECARES) at the Free University of Brussels, Belgium. Senior Lecturer, Monash University (2025–present) Post-Doctoral Researcher, Swiss Finance Institute (2024–2025) Post-Doctoral Researcher, ECARES (2023–2024) His research interests span Econometrics, Finance, Statistics, and Machine Learning, with a focus on Tail Risk, Neural Networks, and Fractional Calculus. Recent work integrates interpretable AI into asset pricing, develops significance tests for neural networks, and explores high-dimensional learning in finance. His recent article trends highlight applications of Machine Learning in financial econometrics, including state space models, Lévy processes, and tempered stable distributions. He has contributed to understanding complexity in financial models, significance testing frameworks, and the role of social signals in market dynamics. Hasan is supported by grants from the Australian Research Council (DP250100063) and the National Natural Science Foundation of China (72033002). He actively develops open-source tools like the SSMEfficientInference Python package for state space model analysis. He is affiliated with the Monash Centre for Quantitative Finance , where he collaborates on interdisciplinary projects involving econometrics, machine learning, and financial engineering.

• Stochastic Processes
• Martingale Representation Properties
• Markov Jump Processes
• +۴ مورد دیگر

Kais Hamza is a Professor and Deputy Head of School at the School of Mathematics, Monash University , with a focus on stochastic processes and their applications. His research bridges theoretical probability (martingales, Markov jump processes) and practical domains like financial market modeling, population dynamics, and biomedical systems. Stochastic Processes : General theory, martingale representation, and random walk analysis Mathematical Finance : Financial derivatives, volatility models, and scenario generators Biomedical Applications : Vocal cord dysfunction diagnostics, COPD exacerbation biomarkers, and respiratory imaging Recent work includes books and articles on stochastic calculus, CT imaging for laryngeal disorders, and metabolic biomarkers in COPD. No specific student advisement details are provided. Key collaborations span institutions like the Australian Research Council and Data61 , with projects on topics like Self-Interacting Random Walks (2023–2026).

• Computer Science
• Mathematics
• Theoretical Computer Science
• +۳ مورد دیگر

Florence Clerc serves as a Research Fellow in the Department of Computer Science at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom, with active affiliation confirmed through her institutional email and 2025 publication record. Her research focuses on theoretical intersections of computer science and mathematics, particularly stochastic processes and probabilistic systems. Key areas include: Markov Processes (continuous-time and discrete-time variants) Behavioral Pseudometrics for system analysis Jump Processes and Brownian Motion modeling Formal methods in probabilistic system verification Recent work trends, exemplified by her 2025 FoSSaCS conference contribution, emphasize metric-based approaches to continuous-time Markov processes, advancing theoretical frameworks in computer science and applied mathematics. This research directly addresses challenges in system behavior modeling and verification. No scientific awards are documented in available sources. Similarly, no information exists regarding student supervision, grant funding, or laboratory/team affiliations within the provided institutional profile.

Ivan M. Ivanovمشاهده پروفایل

دانشیار

• Biomechanics
• Biorheology
• Blood Rheology
• +۲ مورد دیگر

Ivan M. Ivanov is an Associate Professor and Head of the Department of Anatomy and Biomechanics at the National Sports Academy 'Vasil Levski' in Sofia, Bulgaria, a position he assumed in April 2024 after joining the institution in 2014 as a Chief Assistant Professor and promotion to Associate Professor in 2023. His academic qualifications include: Doctoral degree in Biomechanics from the Institute of Mechanics, Bulgarian Academy of Sciences (2008) Full-time doctoral studies at the Institute of Mechanics, Bulgarian Academy of Sciences (2003-2008) Bachelor's degree in Engineering Physics with specialization in Medical Physics from Sofia University 'St. Kliment Ohridski' (2002) Professor Ivanov's research centers on biomechanics and biorheology with emphasis on blood rheology, erythrocyte properties, and sports biomechanics. His investigations explore rheological and electrical properties of blood under physical activity, exposure to substances like metal salts and food preservatives, and biomechanics of joint movement, stretching exercises, and shooting stability. His work bridges fundamental biophysics with practical sports applications through interdisciplinary approaches. Analysis of his 70+ publications (2006-2024) reveals consistent contributions to blood rheology and its physiological/pathological alterations. Recent work (2020-2024) focuses on knee joint mechanics under load, therapeutic stretching effects, and kinematic analyses of athletic performance including figure skating. His publications demonstrate strong integration of physics, physiology, and sports science methodologies across journals like Applied Sciences and Series on Biomechanics. Dr. Ivanov has secured funding through the National Academy of Sciences, Ministry of Youth and Sports, and Scientific Research Fund for projects investigating blood rheology, sports biomechanics, and exercise physiology. While he has authored a textbook and monograph beyond his extensive article record, available information does not specify graduate student mentorship details. He actively participates in the academic community as a member of the Bulgarian Society of Biorheology, Bulgarian Society of Biomechanics, and Union of Scientists in Bulgaria, and serves on the Organizing Committee for the 'Sports and Biomechanics' Scientific Conference.